logs.log 3.3 MB

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  1. 2022-01-17 12:58:15,351:INFO:PyCaret Supervised Module
  2. 2022-01-17 12:58:15,352:INFO:ML Usecase: classification
  3. 2022-01-17 12:58:15,352:INFO:version 2.3.6
  4. 2022-01-17 12:58:15,352:INFO:Initializing setup()
  5. 2022-01-17 12:58:15,352:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  6. 2022-01-17 12:58:15,352:INFO:Checking environment
  7. 2022-01-17 12:58:15,353:INFO:python_version: 3.8.8
  8. 2022-01-17 12:58:15,353:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9. 2022-01-17 12:58:15,353:INFO:machine: x86_64
  10. 2022-01-17 12:58:15,353:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  11. 2022-01-17 12:58:15,353:INFO:Memory: svmem(total=33619935232, available=30101434368, percent=10.5, used=2679119872, free=27730788352, active=834121728, inactive=4488892416, buffers=578408448, cached=2631618560, shared=383373312, slab=280399872)
  12. 2022-01-17 12:58:15,354:INFO:Physical Core: 16
  13. 2022-01-17 12:58:15,354:INFO:Logical Core: 32
  14. 2022-01-17 12:58:15,354:INFO:Checking libraries
  15. 2022-01-17 12:58:15,355:INFO:pd==1.2.4
  16. 2022-01-17 12:58:15,355:INFO:numpy==1.19.5
  17. 2022-01-17 12:58:15,355:INFO:sklearn==0.23.2
  18. 2022-01-17 12:58:15,355:INFO:lightgbm==3.3.2
  19. 2022-01-17 12:58:15,356:WARNING:catboost not found
  20. 2022-01-17 12:58:15,356:WARNING:xgboost not found
  21. 2022-01-17 12:58:15,477:INFO:mlflow==1.22.0
  22. 2022-01-17 12:58:15,477:INFO:Checking Exceptions
  23. 2022-01-17 12:58:15,478:INFO:Declaring global variables
  24. 2022-01-17 12:58:15,478:INFO:USI: c57c
  25. 2022-01-17 12:58:15,478:INFO:pycaret_globals: {'fix_imbalance_method_param', '_internal_pipeline', 'create_model_container', 'exp_name_log', '_all_metrics', 'transform_target_method_param', 'logging_param', 'imputation_classifier', 'pycaret_globals', 'iterative_imputation_iters_param', 'log_plots_param', 'y', 'master_model_container', '_available_plots', 'target_param', 'fix_imbalance_param', 'USI', 'prep_pipe', '_ml_usecase', 'fold_param', 'experiment__', 'html_param', 'y_test', 'fold_shuffle_param', 'fold_groups_param', 'data_before_preprocess', '_gpu_n_jobs_param', 'stratify_param', 'n_jobs_param', 'y_train', 'display_container', 'fold_groups_param_full', 'imputation_regressor', '_all_models_internal', 'X', 'X_train', 'transform_target_param', 'fold_generator', 'seed', '_all_models', 'gpu_param', 'X_test'}
  26. 2022-01-17 12:58:15,478:INFO:Preparing display monitor
  27. 2022-01-17 12:58:15,478:INFO:Preparing display monitor
  28. 2022-01-17 12:58:15,487:INFO:Importing libraries
  29. 2022-01-17 12:58:15,487:INFO:Copying data for preprocessing
  30. 2022-01-17 12:58:15,492:INFO:Declaring preprocessing parameters
  31. 2022-01-17 12:58:15,494:INFO:Creating preprocessing pipeline
  32. 2022-01-17 12:58:15,508:INFO:Preprocessing pipeline created successfully
  33. 2022-01-17 12:58:15,509:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  34. 2022-01-17 12:58:15,509:INFO:Creating global containers
  35. 2022-01-17 12:58:15,510:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  36. 2022-01-17 12:59:42,168:WARNING:Couldn't import xgboost.XGBClassifier
  37. 2022-01-17 12:59:42,168:WARNING:Couldn't import catboost.CatBoostClassifier
  38. 2022-01-17 12:59:42,214:WARNING:Couldn't import xgboost.XGBClassifier
  39. 2022-01-17 12:59:42,215:WARNING:Couldn't import catboost.CatBoostClassifier
  40. 2022-01-17 12:59:42,215:INFO:Creating grid variables
  41. 2022-01-17 12:59:42,226:INFO:create_model_container: 0
  42. 2022-01-17 12:59:42,226:INFO:master_model_container: 0
  43. 2022-01-17 12:59:42,226:INFO:display_container: 1
  44. 2022-01-17 12:59:42,229:INFO:Pipeline(memory=None,
  45. steps=[('dtypes',
  46. DataTypes_Auto_infer(categorical_features=[],
  47. display_types=True, features_todrop=[],
  48. id_columns=[],
  49. ml_usecase='classification',
  50. numerical_features=[], target='label',
  51. time_features=[])),
  52. ('imputer',
  53. Simple_Imputer(categorical_strategy='not_available',
  54. fill_value_categorical=None,
  55. fill_value_numerical=None,
  56. numeric_strate...
  57. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  58. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  59. ('cluster_all', 'passthrough'),
  60. ('dummy', Dummify(target='label')),
  61. ('fix_perfect', Remove_100(target='label')),
  62. ('clean_names', Clean_Colum_Names()),
  63. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  64. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  65. verbose=False)
  66. 2022-01-17 12:59:42,229:INFO:setup() succesfully completed......................................
  67. 2022-01-17 13:01:00,918:INFO:PyCaret Supervised Module
  68. 2022-01-17 13:01:00,918:INFO:ML Usecase: classification
  69. 2022-01-17 13:01:00,919:INFO:version 2.3.6
  70. 2022-01-17 13:01:00,919:INFO:Initializing setup()
  71. 2022-01-17 13:01:00,919:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  72. 2022-01-17 13:01:00,919:INFO:Checking environment
  73. 2022-01-17 13:01:00,919:INFO:python_version: 3.8.8
  74. 2022-01-17 13:01:00,920:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  75. 2022-01-17 13:01:00,920:INFO:machine: x86_64
  76. 2022-01-17 13:01:00,920:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  77. 2022-01-17 13:01:00,920:INFO:Memory: svmem(total=33619935232, available=30035263488, percent=10.7, used=2745372672, free=27662983168, active=834859008, inactive=4551708672, buffers=578715648, cached=2632863744, shared=383373312, slab=281436160)
  78. 2022-01-17 13:01:00,921:INFO:Physical Core: 16
  79. 2022-01-17 13:01:00,921:INFO:Logical Core: 32
  80. 2022-01-17 13:01:00,921:INFO:Checking libraries
  81. 2022-01-17 13:01:00,921:INFO:pd==1.2.4
  82. 2022-01-17 13:01:00,922:INFO:numpy==1.19.5
  83. 2022-01-17 13:01:00,922:INFO:sklearn==0.23.2
  84. 2022-01-17 13:01:00,922:INFO:lightgbm==3.3.2
  85. 2022-01-17 13:01:00,922:WARNING:catboost not found
  86. 2022-01-17 13:01:00,923:WARNING:xgboost not found
  87. 2022-01-17 13:01:00,923:INFO:mlflow==1.22.0
  88. 2022-01-17 13:01:00,923:INFO:Checking Exceptions
  89. 2022-01-17 13:01:00,923:INFO:Declaring global variables
  90. 2022-01-17 13:01:00,924:INFO:USI: 2fbd
  91. 2022-01-17 13:01:00,924:INFO:pycaret_globals: {'fix_imbalance_method_param', '_internal_pipeline', 'create_model_container', 'exp_name_log', '_all_metrics', 'transform_target_method_param', 'logging_param', 'imputation_classifier', 'pycaret_globals', 'iterative_imputation_iters_param', 'log_plots_param', 'y', 'master_model_container', '_available_plots', 'target_param', 'fix_imbalance_param', 'USI', 'prep_pipe', '_ml_usecase', 'fold_param', 'experiment__', 'html_param', 'y_test', 'fold_shuffle_param', 'fold_groups_param', 'data_before_preprocess', '_gpu_n_jobs_param', 'stratify_param', 'n_jobs_param', 'y_train', 'display_container', 'fold_groups_param_full', 'imputation_regressor', '_all_models_internal', 'X', 'X_train', 'transform_target_param', 'fold_generator', 'seed', '_all_models', 'gpu_param', 'X_test'}
  92. 2022-01-17 13:01:00,924:INFO:Preparing display monitor
  93. 2022-01-17 13:01:00,924:INFO:Preparing display monitor
  94. 2022-01-17 13:01:00,931:INFO:Importing libraries
  95. 2022-01-17 13:01:00,931:INFO:Copying data for preprocessing
  96. 2022-01-17 13:01:00,936:INFO:Declaring preprocessing parameters
  97. 2022-01-17 13:01:00,937:WARNING:cuML not found
  98. 2022-01-17 13:01:00,937:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  99. 2022-01-17 13:01:00,938:INFO:Creating preprocessing pipeline
  100. 2022-01-17 13:01:00,952:INFO:Preprocessing pipeline created successfully
  101. 2022-01-17 13:01:00,953:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  102. 2022-01-17 13:01:00,953:INFO:Creating global containers
  103. 2022-01-17 13:01:00,953:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  104. 2022-01-17 13:01:06,482:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  105. 2022-01-17 13:01:06,511:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  106. 2022-01-17 13:01:06,511:WARNING:Couldn't import cuml.MBSGDClassifier
  107. 2022-01-17 13:01:06,512:WARNING:Couldn't import cuml.svm.SVC
  108. 2022-01-17 13:01:06,527:WARNING:Couldn't import cuml.linear_model
  109. 2022-01-17 13:01:06,530:WARNING:Couldn't import cuml.ensemble
  110. 2022-01-17 13:01:06,532:WARNING:Couldn't import xgboost.XGBClassifier
  111. 2022-01-17 13:01:06,540:WARNING:Couldn't import catboost.CatBoostClassifier
  112. 2022-01-17 13:01:06,541:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  113. 2022-01-17 13:01:06,573:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  114. 2022-01-17 13:01:06,574:WARNING:Couldn't import cuml.MBSGDClassifier
  115. 2022-01-17 13:01:06,575:WARNING:Couldn't import cuml.svm.SVC
  116. 2022-01-17 13:01:06,590:WARNING:Couldn't import cuml.linear_model
  117. 2022-01-17 13:01:06,593:WARNING:Couldn't import cuml.ensemble
  118. 2022-01-17 13:01:06,594:WARNING:Couldn't import xgboost.XGBClassifier
  119. 2022-01-17 13:01:06,598:WARNING:Couldn't import catboost.CatBoostClassifier
  120. 2022-01-17 13:01:06,599:INFO:Creating grid variables
  121. 2022-01-17 13:01:06,609:INFO:create_model_container: 0
  122. 2022-01-17 13:01:06,609:INFO:master_model_container: 0
  123. 2022-01-17 13:01:06,610:INFO:display_container: 1
  124. 2022-01-17 13:01:06,613:INFO:Pipeline(memory=None,
  125. steps=[('dtypes',
  126. DataTypes_Auto_infer(categorical_features=[],
  127. display_types=True, features_todrop=[],
  128. id_columns=[],
  129. ml_usecase='classification',
  130. numerical_features=[], target='label',
  131. time_features=[])),
  132. ('imputer',
  133. Simple_Imputer(categorical_strategy='not_available',
  134. fill_value_categorical=None,
  135. fill_value_numerical=None,
  136. numeric_strate...
  137. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  138. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  139. ('cluster_all', 'passthrough'),
  140. ('dummy', Dummify(target='label')),
  141. ('fix_perfect', Remove_100(target='label')),
  142. ('clean_names', Clean_Colum_Names()),
  143. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  144. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  145. verbose=False)
  146. 2022-01-17 13:01:06,613:INFO:setup() succesfully completed......................................
  147. 2022-01-17 13:02:34,311:INFO:Initializing compare_models()
  148. 2022-01-17 13:02:34,311:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  149. 2022-01-17 13:02:34,311:INFO:Checking exceptions
  150. 2022-01-17 13:02:34,312:INFO:Preparing display monitor
  151. 2022-01-17 13:02:34,312:INFO:Preparing display monitor
  152. 2022-01-17 13:02:34,329:INFO:Initializing Logistic Regression
  153. 2022-01-17 13:02:34,329:INFO:Total runtime is 6.2783559163411456e-06 minutes
  154. 2022-01-17 13:02:34,334:INFO:SubProcess create_model() called ==================================
  155. 2022-01-17 13:02:34,335:INFO:Initializing create_model()
  156. 2022-01-17 13:02:34,335:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  157. 2022-01-17 13:02:34,335:INFO:Checking exceptions
  158. 2022-01-17 13:02:34,335:INFO:Importing libraries
  159. 2022-01-17 13:02:34,335:INFO:Copying training dataset
  160. 2022-01-17 13:02:34,336:INFO:Defining folds
  161. 2022-01-17 13:02:34,336:INFO:Declaring metric variables
  162. 2022-01-17 13:02:34,341:INFO:Importing untrained model
  163. 2022-01-17 13:02:34,346:INFO:Logistic Regression Imported succesfully
  164. 2022-01-17 13:02:34,356:INFO:Starting cross validation
  165. 2022-01-17 13:02:34,356:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  166. 2022-01-17 13:02:44,123:INFO:Calculating mean and std
  167. 2022-01-17 13:02:44,124:INFO:Creating metrics dataframe
  168. 2022-01-17 13:02:44,130:INFO:Uploading results into container
  169. 2022-01-17 13:02:44,130:INFO:Uploading model into container now
  170. 2022-01-17 13:02:44,131:INFO:create_model_container: 1
  171. 2022-01-17 13:02:44,131:INFO:master_model_container: 1
  172. 2022-01-17 13:02:44,132:INFO:display_container: 2
  173. 2022-01-17 13:02:44,132:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  174. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  175. multi_class='auto', n_jobs=None, penalty='l2',
  176. random_state=2921, solver='lbfgs', tol=0.0001, verbose=0,
  177. warm_start=False)
  178. 2022-01-17 13:02:44,133:INFO:create_model() succesfully completed......................................
  179. 2022-01-17 13:02:44,212:INFO:SubProcess create_model() end ==================================
  180. 2022-01-17 13:02:44,213:INFO:Creating metrics dataframe
  181. 2022-01-17 13:02:44,222:INFO:Initializing K Neighbors Classifier
  182. 2022-01-17 13:02:44,222:INFO:Total runtime is 0.16488877932230633 minutes
  183. 2022-01-17 13:02:44,228:INFO:SubProcess create_model() called ==================================
  184. 2022-01-17 13:02:44,228:INFO:Initializing create_model()
  185. 2022-01-17 13:02:44,228:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  186. 2022-01-17 13:02:44,228:INFO:Checking exceptions
  187. 2022-01-17 13:02:44,228:INFO:Importing libraries
  188. 2022-01-17 13:02:44,229:INFO:Copying training dataset
  189. 2022-01-17 13:02:44,229:INFO:Defining folds
  190. 2022-01-17 13:02:44,230:INFO:Declaring metric variables
  191. 2022-01-17 13:02:44,234:INFO:Importing untrained model
  192. 2022-01-17 13:02:44,239:INFO:K Neighbors Classifier Imported succesfully
  193. 2022-01-17 13:02:44,249:INFO:Starting cross validation
  194. 2022-01-17 13:02:44,249:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  195. 2022-01-17 13:02:48,557:INFO:Calculating mean and std
  196. 2022-01-17 13:02:48,558:INFO:Creating metrics dataframe
  197. 2022-01-17 13:02:48,561:INFO:Uploading results into container
  198. 2022-01-17 13:02:48,561:INFO:Uploading model into container now
  199. 2022-01-17 13:02:48,561:INFO:create_model_container: 2
  200. 2022-01-17 13:02:48,561:INFO:master_model_container: 2
  201. 2022-01-17 13:02:48,562:INFO:display_container: 2
  202. 2022-01-17 13:02:48,562:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  203. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  204. weights='uniform')
  205. 2022-01-17 13:02:48,562:INFO:create_model() succesfully completed......................................
  206. 2022-01-17 13:02:48,650:INFO:SubProcess create_model() end ==================================
  207. 2022-01-17 13:02:48,650:INFO:Creating metrics dataframe
  208. 2022-01-17 13:02:48,661:INFO:Initializing Naive Bayes
  209. 2022-01-17 13:02:48,661:INFO:Total runtime is 0.23887631893157962 minutes
  210. 2022-01-17 13:02:48,667:INFO:SubProcess create_model() called ==================================
  211. 2022-01-17 13:02:48,667:INFO:Initializing create_model()
  212. 2022-01-17 13:02:48,667:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  213. 2022-01-17 13:02:48,668:INFO:Checking exceptions
  214. 2022-01-17 13:02:48,668:INFO:Importing libraries
  215. 2022-01-17 13:02:48,668:INFO:Copying training dataset
  216. 2022-01-17 13:02:48,669:INFO:Defining folds
  217. 2022-01-17 13:02:48,670:INFO:Declaring metric variables
  218. 2022-01-17 13:02:48,674:INFO:Importing untrained model
  219. 2022-01-17 13:02:48,679:INFO:Naive Bayes Imported succesfully
  220. 2022-01-17 13:02:48,691:INFO:Starting cross validation
  221. 2022-01-17 13:02:48,691:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  222. 2022-01-17 13:02:48,807:INFO:Calculating mean and std
  223. 2022-01-17 13:02:48,808:INFO:Creating metrics dataframe
  224. 2022-01-17 13:02:48,810:INFO:Uploading results into container
  225. 2022-01-17 13:02:48,811:INFO:Uploading model into container now
  226. 2022-01-17 13:02:48,811:INFO:create_model_container: 3
  227. 2022-01-17 13:02:48,811:INFO:master_model_container: 3
  228. 2022-01-17 13:02:48,811:INFO:display_container: 2
  229. 2022-01-17 13:02:48,811:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  230. 2022-01-17 13:02:48,812:INFO:create_model() succesfully completed......................................
  231. 2022-01-17 13:02:48,877:INFO:SubProcess create_model() end ==================================
  232. 2022-01-17 13:02:48,878:INFO:Creating metrics dataframe
  233. 2022-01-17 13:02:48,888:INFO:Initializing Decision Tree Classifier
  234. 2022-01-17 13:02:48,888:INFO:Total runtime is 0.24265816609064741 minutes
  235. 2022-01-17 13:02:48,894:INFO:SubProcess create_model() called ==================================
  236. 2022-01-17 13:02:48,894:INFO:Initializing create_model()
  237. 2022-01-17 13:02:48,894:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  238. 2022-01-17 13:02:48,894:INFO:Checking exceptions
  239. 2022-01-17 13:02:48,894:INFO:Importing libraries
  240. 2022-01-17 13:02:48,894:INFO:Copying training dataset
  241. 2022-01-17 13:02:48,895:INFO:Defining folds
  242. 2022-01-17 13:02:48,895:INFO:Declaring metric variables
  243. 2022-01-17 13:02:48,900:INFO:Importing untrained model
  244. 2022-01-17 13:02:48,905:INFO:Decision Tree Classifier Imported succesfully
  245. 2022-01-17 13:02:48,915:INFO:Starting cross validation
  246. 2022-01-17 13:02:48,915:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  247. 2022-01-17 13:02:49,163:INFO:Calculating mean and std
  248. 2022-01-17 13:02:49,164:INFO:Creating metrics dataframe
  249. 2022-01-17 13:02:49,167:INFO:Uploading results into container
  250. 2022-01-17 13:02:49,167:INFO:Uploading model into container now
  251. 2022-01-17 13:02:49,167:INFO:create_model_container: 4
  252. 2022-01-17 13:02:49,167:INFO:master_model_container: 4
  253. 2022-01-17 13:02:49,167:INFO:display_container: 2
  254. 2022-01-17 13:02:49,168:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  255. max_depth=None, max_features=None, max_leaf_nodes=None,
  256. min_impurity_decrease=0.0, min_impurity_split=None,
  257. min_samples_leaf=1, min_samples_split=2,
  258. min_weight_fraction_leaf=0.0, presort='deprecated',
  259. random_state=2921, splitter='best')
  260. 2022-01-17 13:02:49,168:INFO:create_model() succesfully completed......................................
  261. 2022-01-17 13:02:49,232:INFO:SubProcess create_model() end ==================================
  262. 2022-01-17 13:02:49,232:INFO:Creating metrics dataframe
  263. 2022-01-17 13:02:49,243:INFO:Initializing SVM - Linear Kernel
  264. 2022-01-17 13:02:49,243:INFO:Total runtime is 0.24857445557912194 minutes
  265. 2022-01-17 13:02:49,248:INFO:SubProcess create_model() called ==================================
  266. 2022-01-17 13:02:49,249:INFO:Initializing create_model()
  267. 2022-01-17 13:02:49,249:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  268. 2022-01-17 13:02:49,249:INFO:Checking exceptions
  269. 2022-01-17 13:02:49,249:INFO:Importing libraries
  270. 2022-01-17 13:02:49,249:INFO:Copying training dataset
  271. 2022-01-17 13:02:49,250:INFO:Defining folds
  272. 2022-01-17 13:02:49,250:INFO:Declaring metric variables
  273. 2022-01-17 13:02:49,256:INFO:Importing untrained model
  274. 2022-01-17 13:02:49,261:INFO:SVM - Linear Kernel Imported succesfully
  275. 2022-01-17 13:02:49,271:INFO:Starting cross validation
  276. 2022-01-17 13:02:49,271:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  277. 2022-01-17 13:02:50,627:INFO:Calculating mean and std
  278. 2022-01-17 13:02:50,628:INFO:Creating metrics dataframe
  279. 2022-01-17 13:02:50,632:INFO:Uploading results into container
  280. 2022-01-17 13:02:50,633:INFO:Uploading model into container now
  281. 2022-01-17 13:02:50,633:INFO:create_model_container: 5
  282. 2022-01-17 13:02:50,633:INFO:master_model_container: 5
  283. 2022-01-17 13:02:50,634:INFO:display_container: 2
  284. 2022-01-17 13:02:50,634:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  285. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  286. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  287. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  288. power_t=0.5, random_state=2921, shuffle=True, tol=0.001,
  289. validation_fraction=0.1, verbose=0, warm_start=False)
  290. 2022-01-17 13:02:50,634:INFO:create_model() succesfully completed......................................
  291. 2022-01-17 13:02:50,733:INFO:SubProcess create_model() end ==================================
  292. 2022-01-17 13:02:50,734:INFO:Creating metrics dataframe
  293. 2022-01-17 13:02:50,746:INFO:Initializing Ridge Classifier
  294. 2022-01-17 13:02:50,746:INFO:Total runtime is 0.2736153244972229 minutes
  295. 2022-01-17 13:02:50,751:INFO:SubProcess create_model() called ==================================
  296. 2022-01-17 13:02:50,751:INFO:Initializing create_model()
  297. 2022-01-17 13:02:50,752:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  298. 2022-01-17 13:02:50,752:INFO:Checking exceptions
  299. 2022-01-17 13:02:50,752:INFO:Importing libraries
  300. 2022-01-17 13:02:50,753:INFO:Copying training dataset
  301. 2022-01-17 13:02:50,753:INFO:Defining folds
  302. 2022-01-17 13:02:50,754:INFO:Declaring metric variables
  303. 2022-01-17 13:02:50,759:INFO:Importing untrained model
  304. 2022-01-17 13:02:50,765:INFO:Ridge Classifier Imported succesfully
  305. 2022-01-17 13:02:50,776:INFO:Starting cross validation
  306. 2022-01-17 13:02:50,777:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  307. 2022-01-17 13:02:51,127:INFO:Calculating mean and std
  308. 2022-01-17 13:02:51,137:INFO:Creating metrics dataframe
  309. 2022-01-17 13:02:51,148:INFO:Uploading results into container
  310. 2022-01-17 13:02:51,148:INFO:Uploading model into container now
  311. 2022-01-17 13:02:51,149:INFO:create_model_container: 6
  312. 2022-01-17 13:02:51,149:INFO:master_model_container: 6
  313. 2022-01-17 13:02:51,149:INFO:display_container: 2
  314. 2022-01-17 13:02:51,149:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  315. max_iter=None, normalize=False, random_state=2921,
  316. solver='auto', tol=0.001)
  317. 2022-01-17 13:02:51,150:INFO:create_model() succesfully completed......................................
  318. 2022-01-17 13:02:51,247:INFO:SubProcess create_model() end ==================================
  319. 2022-01-17 13:02:51,248:INFO:Creating metrics dataframe
  320. 2022-01-17 13:02:51,259:INFO:Initializing Random Forest Classifier
  321. 2022-01-17 13:02:51,259:INFO:Total runtime is 0.2821757952372233 minutes
  322. 2022-01-17 13:02:51,265:INFO:SubProcess create_model() called ==================================
  323. 2022-01-17 13:02:51,265:INFO:Initializing create_model()
  324. 2022-01-17 13:02:51,266:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  325. 2022-01-17 13:02:51,266:INFO:Checking exceptions
  326. 2022-01-17 13:02:51,266:INFO:Importing libraries
  327. 2022-01-17 13:02:51,266:INFO:Copying training dataset
  328. 2022-01-17 13:02:51,267:INFO:Defining folds
  329. 2022-01-17 13:02:51,267:INFO:Declaring metric variables
  330. 2022-01-17 13:02:51,273:INFO:Importing untrained model
  331. 2022-01-17 13:02:51,278:INFO:Random Forest Classifier Imported succesfully
  332. 2022-01-17 13:02:51,288:INFO:Starting cross validation
  333. 2022-01-17 13:02:51,289:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  334. 2022-01-17 13:02:56,873:INFO:Calculating mean and std
  335. 2022-01-17 13:02:56,874:INFO:Creating metrics dataframe
  336. 2022-01-17 13:02:56,876:INFO:Uploading results into container
  337. 2022-01-17 13:02:56,877:INFO:Uploading model into container now
  338. 2022-01-17 13:02:56,877:INFO:create_model_container: 7
  339. 2022-01-17 13:02:56,877:INFO:master_model_container: 7
  340. 2022-01-17 13:02:56,877:INFO:display_container: 2
  341. 2022-01-17 13:02:56,877:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  342. criterion='gini', max_depth=None, max_features='auto',
  343. max_leaf_nodes=None, max_samples=None,
  344. min_impurity_decrease=0.0, min_impurity_split=None,
  345. min_samples_leaf=1, min_samples_split=2,
  346. min_weight_fraction_leaf=0.0, n_estimators=100,
  347. n_jobs=-1, oob_score=False, random_state=2921, verbose=0,
  348. warm_start=False)
  349. 2022-01-17 13:02:56,878:INFO:create_model() succesfully completed......................................
  350. 2022-01-17 13:02:56,950:INFO:SubProcess create_model() end ==================================
  351. 2022-01-17 13:02:56,950:INFO:Creating metrics dataframe
  352. 2022-01-17 13:02:56,962:INFO:Initializing Quadratic Discriminant Analysis
  353. 2022-01-17 13:02:56,962:INFO:Total runtime is 0.37721813917160035 minutes
  354. 2022-01-17 13:02:56,967:INFO:SubProcess create_model() called ==================================
  355. 2022-01-17 13:02:56,967:INFO:Initializing create_model()
  356. 2022-01-17 13:02:56,968:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  357. 2022-01-17 13:02:56,968:INFO:Checking exceptions
  358. 2022-01-17 13:02:56,968:INFO:Importing libraries
  359. 2022-01-17 13:02:56,968:INFO:Copying training dataset
  360. 2022-01-17 13:02:56,969:INFO:Defining folds
  361. 2022-01-17 13:02:56,969:INFO:Declaring metric variables
  362. 2022-01-17 13:02:56,974:INFO:Importing untrained model
  363. 2022-01-17 13:02:56,979:INFO:Quadratic Discriminant Analysis Imported succesfully
  364. 2022-01-17 13:02:56,988:INFO:Starting cross validation
  365. 2022-01-17 13:02:56,989:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  366. 2022-01-17 13:02:57,284:INFO:Calculating mean and std
  367. 2022-01-17 13:02:57,289:INFO:Creating metrics dataframe
  368. 2022-01-17 13:02:57,294:INFO:Uploading results into container
  369. 2022-01-17 13:02:57,294:INFO:Uploading model into container now
  370. 2022-01-17 13:02:57,294:INFO:create_model_container: 8
  371. 2022-01-17 13:02:57,294:INFO:master_model_container: 8
  372. 2022-01-17 13:02:57,294:INFO:display_container: 2
  373. 2022-01-17 13:02:57,295:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  374. store_covariance=False, tol=0.0001)
  375. 2022-01-17 13:02:57,295:INFO:create_model() succesfully completed......................................
  376. 2022-01-17 13:02:57,384:INFO:SubProcess create_model() end ==================================
  377. 2022-01-17 13:02:57,384:INFO:Creating metrics dataframe
  378. 2022-01-17 13:02:57,397:INFO:Initializing Ada Boost Classifier
  379. 2022-01-17 13:02:57,397:INFO:Total runtime is 0.3844650745391846 minutes
  380. 2022-01-17 13:02:57,402:INFO:SubProcess create_model() called ==================================
  381. 2022-01-17 13:02:57,402:INFO:Initializing create_model()
  382. 2022-01-17 13:02:57,403:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  383. 2022-01-17 13:02:57,403:INFO:Checking exceptions
  384. 2022-01-17 13:02:57,403:INFO:Importing libraries
  385. 2022-01-17 13:02:57,403:INFO:Copying training dataset
  386. 2022-01-17 13:02:57,404:INFO:Defining folds
  387. 2022-01-17 13:02:57,405:INFO:Declaring metric variables
  388. 2022-01-17 13:02:57,410:INFO:Importing untrained model
  389. 2022-01-17 13:02:57,414:INFO:Ada Boost Classifier Imported succesfully
  390. 2022-01-17 13:02:57,425:INFO:Starting cross validation
  391. 2022-01-17 13:02:57,426:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  392. 2022-01-17 13:02:59,675:INFO:Calculating mean and std
  393. 2022-01-17 13:02:59,676:INFO:Creating metrics dataframe
  394. 2022-01-17 13:02:59,679:INFO:Uploading results into container
  395. 2022-01-17 13:02:59,679:INFO:Uploading model into container now
  396. 2022-01-17 13:02:59,679:INFO:create_model_container: 9
  397. 2022-01-17 13:02:59,679:INFO:master_model_container: 9
  398. 2022-01-17 13:02:59,679:INFO:display_container: 2
  399. 2022-01-17 13:02:59,679:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  400. n_estimators=50, random_state=2921)
  401. 2022-01-17 13:02:59,680:INFO:create_model() succesfully completed......................................
  402. 2022-01-17 13:02:59,745:INFO:SubProcess create_model() end ==================================
  403. 2022-01-17 13:02:59,745:INFO:Creating metrics dataframe
  404. 2022-01-17 13:02:59,758:INFO:Initializing Gradient Boosting Classifier
  405. 2022-01-17 13:02:59,758:INFO:Total runtime is 0.4238206505775452 minutes
  406. 2022-01-17 13:02:59,763:INFO:SubProcess create_model() called ==================================
  407. 2022-01-17 13:02:59,764:INFO:Initializing create_model()
  408. 2022-01-17 13:02:59,764:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  409. 2022-01-17 13:02:59,764:INFO:Checking exceptions
  410. 2022-01-17 13:02:59,764:INFO:Importing libraries
  411. 2022-01-17 13:02:59,764:INFO:Copying training dataset
  412. 2022-01-17 13:02:59,765:INFO:Defining folds
  413. 2022-01-17 13:02:59,765:INFO:Declaring metric variables
  414. 2022-01-17 13:02:59,770:INFO:Importing untrained model
  415. 2022-01-17 13:02:59,776:INFO:Gradient Boosting Classifier Imported succesfully
  416. 2022-01-17 13:02:59,786:INFO:Starting cross validation
  417. 2022-01-17 13:02:59,787:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  418. 2022-01-17 13:03:05,995:INFO:Calculating mean and std
  419. 2022-01-17 13:03:05,996:INFO:Creating metrics dataframe
  420. 2022-01-17 13:03:05,999:INFO:Uploading results into container
  421. 2022-01-17 13:03:05,999:INFO:Uploading model into container now
  422. 2022-01-17 13:03:05,999:INFO:create_model_container: 10
  423. 2022-01-17 13:03:05,999:INFO:master_model_container: 10
  424. 2022-01-17 13:03:05,999:INFO:display_container: 2
  425. 2022-01-17 13:03:06,000:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  426. learning_rate=0.1, loss='deviance', max_depth=3,
  427. max_features=None, max_leaf_nodes=None,
  428. min_impurity_decrease=0.0, min_impurity_split=None,
  429. min_samples_leaf=1, min_samples_split=2,
  430. min_weight_fraction_leaf=0.0, n_estimators=100,
  431. n_iter_no_change=None, presort='deprecated',
  432. random_state=2921, subsample=1.0, tol=0.0001,
  433. validation_fraction=0.1, verbose=0,
  434. warm_start=False)
  435. 2022-01-17 13:03:06,000:INFO:create_model() succesfully completed......................................
  436. 2022-01-17 13:03:06,068:INFO:SubProcess create_model() end ==================================
  437. 2022-01-17 13:03:06,069:INFO:Creating metrics dataframe
  438. 2022-01-17 13:03:06,081:INFO:Initializing Linear Discriminant Analysis
  439. 2022-01-17 13:03:06,081:INFO:Total runtime is 0.5292097528775533 minutes
  440. 2022-01-17 13:03:06,086:INFO:SubProcess create_model() called ==================================
  441. 2022-01-17 13:03:06,087:INFO:Initializing create_model()
  442. 2022-01-17 13:03:06,087:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  443. 2022-01-17 13:03:06,087:INFO:Checking exceptions
  444. 2022-01-17 13:03:06,087:INFO:Importing libraries
  445. 2022-01-17 13:03:06,088:INFO:Copying training dataset
  446. 2022-01-17 13:03:06,088:INFO:Defining folds
  447. 2022-01-17 13:03:06,089:INFO:Declaring metric variables
  448. 2022-01-17 13:03:06,093:INFO:Importing untrained model
  449. 2022-01-17 13:03:06,098:INFO:Linear Discriminant Analysis Imported succesfully
  450. 2022-01-17 13:03:06,108:INFO:Starting cross validation
  451. 2022-01-17 13:03:06,108:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  452. 2022-01-17 13:03:07,147:INFO:Calculating mean and std
  453. 2022-01-17 13:03:07,155:INFO:Creating metrics dataframe
  454. 2022-01-17 13:03:07,159:INFO:Uploading results into container
  455. 2022-01-17 13:03:07,164:INFO:Uploading model into container now
  456. 2022-01-17 13:03:07,164:INFO:create_model_container: 11
  457. 2022-01-17 13:03:07,164:INFO:master_model_container: 11
  458. 2022-01-17 13:03:07,164:INFO:display_container: 2
  459. 2022-01-17 13:03:07,164:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  460. solver='svd', store_covariance=False, tol=0.0001)
  461. 2022-01-17 13:03:07,165:INFO:create_model() succesfully completed......................................
  462. 2022-01-17 13:03:07,259:INFO:SubProcess create_model() end ==================================
  463. 2022-01-17 13:03:07,259:INFO:Creating metrics dataframe
  464. 2022-01-17 13:03:07,271:INFO:Initializing Extra Trees Classifier
  465. 2022-01-17 13:03:07,272:INFO:Total runtime is 0.5490442395210267 minutes
  466. 2022-01-17 13:03:07,277:INFO:SubProcess create_model() called ==================================
  467. 2022-01-17 13:03:07,277:INFO:Initializing create_model()
  468. 2022-01-17 13:03:07,277:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  469. 2022-01-17 13:03:07,277:INFO:Checking exceptions
  470. 2022-01-17 13:03:07,278:INFO:Importing libraries
  471. 2022-01-17 13:03:07,278:INFO:Copying training dataset
  472. 2022-01-17 13:03:07,278:INFO:Defining folds
  473. 2022-01-17 13:03:07,279:INFO:Declaring metric variables
  474. 2022-01-17 13:03:07,283:INFO:Importing untrained model
  475. 2022-01-17 13:03:07,288:INFO:Extra Trees Classifier Imported succesfully
  476. 2022-01-17 13:03:07,299:INFO:Starting cross validation
  477. 2022-01-17 13:03:07,300:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  478. 2022-01-17 13:03:12,992:INFO:Calculating mean and std
  479. 2022-01-17 13:03:12,993:INFO:Creating metrics dataframe
  480. 2022-01-17 13:03:12,995:INFO:Uploading results into container
  481. 2022-01-17 13:03:12,996:INFO:Uploading model into container now
  482. 2022-01-17 13:03:12,996:INFO:create_model_container: 12
  483. 2022-01-17 13:03:12,996:INFO:master_model_container: 12
  484. 2022-01-17 13:03:12,996:INFO:display_container: 2
  485. 2022-01-17 13:03:12,997:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  486. criterion='gini', max_depth=None, max_features='auto',
  487. max_leaf_nodes=None, max_samples=None,
  488. min_impurity_decrease=0.0, min_impurity_split=None,
  489. min_samples_leaf=1, min_samples_split=2,
  490. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  491. oob_score=False, random_state=2921, verbose=0,
  492. warm_start=False)
  493. 2022-01-17 13:03:12,997:INFO:create_model() succesfully completed......................................
  494. 2022-01-17 13:03:13,068:INFO:SubProcess create_model() end ==================================
  495. 2022-01-17 13:03:13,068:INFO:Creating metrics dataframe
  496. 2022-01-17 13:03:13,081:INFO:Initializing Light Gradient Boosting Machine
  497. 2022-01-17 13:03:13,081:INFO:Total runtime is 0.6458649357159933 minutes
  498. 2022-01-17 13:03:13,086:INFO:SubProcess create_model() called ==================================
  499. 2022-01-17 13:03:13,086:INFO:Initializing create_model()
  500. 2022-01-17 13:03:13,087:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  501. 2022-01-17 13:03:13,087:INFO:Checking exceptions
  502. 2022-01-17 13:03:13,087:INFO:Importing libraries
  503. 2022-01-17 13:03:13,087:INFO:Copying training dataset
  504. 2022-01-17 13:03:13,088:INFO:Defining folds
  505. 2022-01-17 13:03:13,088:INFO:Declaring metric variables
  506. 2022-01-17 13:03:13,093:INFO:Importing untrained model
  507. 2022-01-17 13:03:13,098:INFO:Light Gradient Boosting Machine Imported succesfully
  508. 2022-01-17 13:03:13,108:INFO:Starting cross validation
  509. 2022-01-17 13:03:13,109:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  510. 2022-01-17 13:03:14,740:INFO:Calculating mean and std
  511. 2022-01-17 13:03:14,741:INFO:Creating metrics dataframe
  512. 2022-01-17 13:03:14,744:INFO:Uploading results into container
  513. 2022-01-17 13:03:14,744:INFO:Uploading model into container now
  514. 2022-01-17 13:03:14,744:INFO:create_model_container: 13
  515. 2022-01-17 13:03:14,744:INFO:master_model_container: 13
  516. 2022-01-17 13:03:14,744:INFO:display_container: 2
  517. 2022-01-17 13:03:14,745:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  518. importance_type='split', learning_rate=0.1, max_depth=-1,
  519. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  520. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  521. random_state=2921, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  522. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  523. 2022-01-17 13:03:14,745:INFO:create_model() succesfully completed......................................
  524. 2022-01-17 13:03:14,810:INFO:SubProcess create_model() end ==================================
  525. 2022-01-17 13:03:14,810:INFO:Creating metrics dataframe
  526. 2022-01-17 13:03:14,823:INFO:Initializing Dummy Classifier
  527. 2022-01-17 13:03:14,823:INFO:Total runtime is 0.6749085227648418 minutes
  528. 2022-01-17 13:03:14,829:INFO:SubProcess create_model() called ==================================
  529. 2022-01-17 13:03:14,829:INFO:Initializing create_model()
  530. 2022-01-17 13:03:14,829:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  531. 2022-01-17 13:03:14,829:INFO:Checking exceptions
  532. 2022-01-17 13:03:14,829:INFO:Importing libraries
  533. 2022-01-17 13:03:14,830:INFO:Copying training dataset
  534. 2022-01-17 13:03:14,830:INFO:Defining folds
  535. 2022-01-17 13:03:14,830:INFO:Declaring metric variables
  536. 2022-01-17 13:03:14,835:INFO:Importing untrained model
  537. 2022-01-17 13:03:14,840:INFO:Dummy Classifier Imported succesfully
  538. 2022-01-17 13:03:14,852:INFO:Starting cross validation
  539. 2022-01-17 13:03:14,853:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  540. 2022-01-17 13:03:14,918:INFO:Calculating mean and std
  541. 2022-01-17 13:03:14,919:INFO:Creating metrics dataframe
  542. 2022-01-17 13:03:14,922:INFO:Uploading results into container
  543. 2022-01-17 13:03:14,923:INFO:Uploading model into container now
  544. 2022-01-17 13:03:14,923:INFO:create_model_container: 14
  545. 2022-01-17 13:03:14,923:INFO:master_model_container: 14
  546. 2022-01-17 13:03:14,923:INFO:display_container: 2
  547. 2022-01-17 13:03:14,924:INFO:DummyClassifier(constant=None, random_state=2921, strategy='prior')
  548. 2022-01-17 13:03:14,924:INFO:create_model() succesfully completed......................................
  549. 2022-01-17 13:03:14,991:INFO:SubProcess create_model() end ==================================
  550. 2022-01-17 13:03:14,991:INFO:Creating metrics dataframe
  551. 2022-01-17 13:03:15,016:INFO:Initializing create_model()
  552. 2022-01-17 13:03:15,016:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  553. max_depth=None, max_features=None, max_leaf_nodes=None,
  554. min_impurity_decrease=0.0, min_impurity_split=None,
  555. min_samples_leaf=1, min_samples_split=2,
  556. min_weight_fraction_leaf=0.0, presort='deprecated',
  557. random_state=2921, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  558. 2022-01-17 13:03:15,016:INFO:Checking exceptions
  559. 2022-01-17 13:03:15,016:INFO:Importing libraries
  560. 2022-01-17 13:03:15,017:INFO:Copying training dataset
  561. 2022-01-17 13:03:15,017:INFO:Defining folds
  562. 2022-01-17 13:03:15,017:INFO:Declaring metric variables
  563. 2022-01-17 13:03:15,017:INFO:Importing untrained model
  564. 2022-01-17 13:03:15,017:INFO:Declaring custom model
  565. 2022-01-17 13:03:15,018:INFO:Decision Tree Classifier Imported succesfully
  566. 2022-01-17 13:03:15,018:INFO:Cross validation set to False
  567. 2022-01-17 13:03:15,018:INFO:Fitting Model
  568. 2022-01-17 13:03:15,040:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  569. max_depth=None, max_features=None, max_leaf_nodes=None,
  570. min_impurity_decrease=0.0, min_impurity_split=None,
  571. min_samples_leaf=1, min_samples_split=2,
  572. min_weight_fraction_leaf=0.0, presort='deprecated',
  573. random_state=2921, splitter='best')
  574. 2022-01-17 13:03:15,040:INFO:create_models() succesfully completed......................................
  575. 2022-01-17 13:03:15,134:INFO:create_model_container: 14
  576. 2022-01-17 13:03:15,134:INFO:master_model_container: 14
  577. 2022-01-17 13:03:15,134:INFO:display_container: 2
  578. 2022-01-17 13:03:15,135:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  579. max_depth=None, max_features=None, max_leaf_nodes=None,
  580. min_impurity_decrease=0.0, min_impurity_split=None,
  581. min_samples_leaf=1, min_samples_split=2,
  582. min_weight_fraction_leaf=0.0, presort='deprecated',
  583. random_state=2921, splitter='best')
  584. 2022-01-17 13:03:15,135:INFO:compare_models() succesfully completed......................................
  585. 2022-01-17 13:05:10,965:INFO:Initializing create_model()
  586. 2022-01-17 13:05:10,966:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  587. 2022-01-17 13:05:10,966:INFO:Checking exceptions
  588. 2022-01-17 13:05:10,966:INFO:Preparing display monitor
  589. 2022-01-17 13:05:10,978:INFO:Importing libraries
  590. 2022-01-17 13:05:10,978:INFO:Copying training dataset
  591. 2022-01-17 13:05:10,979:INFO:Defining folds
  592. 2022-01-17 13:05:10,979:INFO:Declaring metric variables
  593. 2022-01-17 13:05:10,984:INFO:Importing untrained model
  594. 2022-01-17 13:05:10,988:INFO:Decision Tree Classifier Imported succesfully
  595. 2022-01-17 13:05:11,000:INFO:Starting cross validation
  596. 2022-01-17 13:05:11,001:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  597. 2022-01-17 13:05:11,257:INFO:Calculating mean and std
  598. 2022-01-17 13:05:11,258:INFO:Creating metrics dataframe
  599. 2022-01-17 13:05:11,265:INFO:Finalizing model
  600. 2022-01-17 13:05:11,287:INFO:Uploading results into container
  601. 2022-01-17 13:05:11,287:INFO:Uploading model into container now
  602. 2022-01-17 13:05:11,297:INFO:create_model_container: 15
  603. 2022-01-17 13:05:11,297:INFO:master_model_container: 15
  604. 2022-01-17 13:05:11,298:INFO:display_container: 3
  605. 2022-01-17 13:05:11,298:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  606. max_depth=None, max_features=None, max_leaf_nodes=None,
  607. min_impurity_decrease=0.0, min_impurity_split=None,
  608. min_samples_leaf=1, min_samples_split=2,
  609. min_weight_fraction_leaf=0.0, presort='deprecated',
  610. random_state=2921, splitter='best')
  611. 2022-01-17 13:05:11,298:INFO:create_model() succesfully completed......................................
  612. 2022-01-17 13:05:36,291:INFO:Initializing create_model()
  613. 2022-01-17 13:05:36,292:INFO:create_model(estimator=et, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  614. 2022-01-17 13:05:36,292:INFO:Checking exceptions
  615. 2022-01-17 13:05:36,292:INFO:Preparing display monitor
  616. 2022-01-17 13:05:36,303:INFO:Importing libraries
  617. 2022-01-17 13:05:36,303:INFO:Copying training dataset
  618. 2022-01-17 13:05:36,304:INFO:Defining folds
  619. 2022-01-17 13:05:36,304:INFO:Declaring metric variables
  620. 2022-01-17 13:05:36,308:INFO:Importing untrained model
  621. 2022-01-17 13:05:36,314:INFO:Extra Trees Classifier Imported succesfully
  622. 2022-01-17 13:05:36,324:INFO:Starting cross validation
  623. 2022-01-17 13:05:36,324:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  624. 2022-01-17 13:05:42,037:INFO:Calculating mean and std
  625. 2022-01-17 13:05:42,038:INFO:Creating metrics dataframe
  626. 2022-01-17 13:05:42,045:INFO:Finalizing model
  627. 2022-01-17 13:05:42,284:INFO:Uploading results into container
  628. 2022-01-17 13:05:42,284:INFO:Uploading model into container now
  629. 2022-01-17 13:05:42,295:INFO:create_model_container: 16
  630. 2022-01-17 13:05:42,295:INFO:master_model_container: 16
  631. 2022-01-17 13:05:42,295:INFO:display_container: 4
  632. 2022-01-17 13:05:42,296:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  633. criterion='gini', max_depth=None, max_features='auto',
  634. max_leaf_nodes=None, max_samples=None,
  635. min_impurity_decrease=0.0, min_impurity_split=None,
  636. min_samples_leaf=1, min_samples_split=2,
  637. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  638. oob_score=False, random_state=2921, verbose=0,
  639. warm_start=False)
  640. 2022-01-17 13:05:42,296:INFO:create_model() succesfully completed......................................
  641. 2022-01-17 13:06:11,498:INFO:Initializing create_model()
  642. 2022-01-17 13:06:11,498:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  643. 2022-01-17 13:06:11,499:INFO:Checking exceptions
  644. 2022-01-17 13:06:56,085:INFO:Initializing tune_model()
  645. 2022-01-17 13:06:56,085:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  646. max_depth=None, max_features=None, max_leaf_nodes=None,
  647. min_impurity_decrease=0.0, min_impurity_split=None,
  648. min_samples_leaf=1, min_samples_split=2,
  649. min_weight_fraction_leaf=0.0, presort='deprecated',
  650. random_state=2921, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  651. 2022-01-17 13:06:56,085:INFO:Checking exceptions
  652. 2022-01-17 13:06:56,086:INFO:Preparing display monitor
  653. 2022-01-17 13:06:56,097:INFO:Copying training dataset
  654. 2022-01-17 13:06:56,098:INFO:Checking base model
  655. 2022-01-17 13:06:56,098:INFO:Base model : Decision Tree Classifier
  656. 2022-01-17 13:06:56,103:INFO:Declaring metric variables
  657. 2022-01-17 13:06:56,108:INFO:Defining Hyperparameters
  658. 2022-01-17 13:06:56,183:INFO:Tuning with n_jobs=-1
  659. 2022-01-17 13:06:56,183:INFO:Initializing RandomizedSearchCV
  660. 2022-01-17 13:06:57,389:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.0005, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 13, 'actual_estimator__criterion': 'entropy'}
  661. 2022-01-17 13:06:57,390:INFO:Hyperparameter search completed
  662. 2022-01-17 13:06:57,390:INFO:SubProcess create_model() called ==================================
  663. 2022-01-17 13:06:57,391:INFO:Initializing create_model()
  664. 2022-01-17 13:06:57,391:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  665. max_depth=None, max_features=None, max_leaf_nodes=None,
  666. min_impurity_decrease=0.0, min_impurity_split=None,
  667. min_samples_leaf=1, min_samples_split=2,
  668. min_weight_fraction_leaf=0.0, presort='deprecated',
  669. random_state=2921, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49dbc342e0>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.0005, 'max_features': 1.0, 'max_depth': 13, 'criterion': 'entropy'})
  670. 2022-01-17 13:06:57,391:INFO:Checking exceptions
  671. 2022-01-17 13:06:57,391:INFO:Importing libraries
  672. 2022-01-17 13:06:57,391:INFO:Copying training dataset
  673. 2022-01-17 13:06:57,392:INFO:Defining folds
  674. 2022-01-17 13:06:57,392:INFO:Declaring metric variables
  675. 2022-01-17 13:06:57,398:INFO:Importing untrained model
  676. 2022-01-17 13:06:57,398:INFO:Declaring custom model
  677. 2022-01-17 13:06:57,403:INFO:Decision Tree Classifier Imported succesfully
  678. 2022-01-17 13:06:57,414:INFO:Starting cross validation
  679. 2022-01-17 13:06:57,415:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  680. 2022-01-17 13:06:57,648:INFO:Calculating mean and std
  681. 2022-01-17 13:06:57,649:INFO:Creating metrics dataframe
  682. 2022-01-17 13:06:57,656:INFO:Finalizing model
  683. 2022-01-17 13:06:57,674:INFO:Uploading results into container
  684. 2022-01-17 13:06:57,674:INFO:Uploading model into container now
  685. 2022-01-17 13:06:57,674:INFO:create_model_container: 17
  686. 2022-01-17 13:06:57,674:INFO:master_model_container: 17
  687. 2022-01-17 13:06:57,674:INFO:display_container: 5
  688. 2022-01-17 13:06:57,675:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  689. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  690. min_impurity_decrease=0.0005, min_impurity_split=None,
  691. min_samples_leaf=4, min_samples_split=5,
  692. min_weight_fraction_leaf=0.0, presort='deprecated',
  693. random_state=2921, splitter='best')
  694. 2022-01-17 13:06:57,675:INFO:create_model() succesfully completed......................................
  695. 2022-01-17 13:06:57,746:INFO:SubProcess create_model() end ==================================
  696. 2022-01-17 13:06:57,756:INFO:create_model_container: 17
  697. 2022-01-17 13:06:57,756:INFO:master_model_container: 17
  698. 2022-01-17 13:06:57,756:INFO:display_container: 5
  699. 2022-01-17 13:06:57,757:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  700. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  701. min_impurity_decrease=0.0005, min_impurity_split=None,
  702. min_samples_leaf=4, min_samples_split=5,
  703. min_weight_fraction_leaf=0.0, presort='deprecated',
  704. random_state=2921, splitter='best')
  705. 2022-01-17 13:06:57,757:INFO:tune_model() succesfully completed......................................
  706. 2022-01-17 13:07:50,221:INFO:Initializing plot_model()
  707. 2022-01-17 13:07:50,221:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  708. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  709. min_impurity_decrease=0.0005, min_impurity_split=None,
  710. min_samples_leaf=4, min_samples_split=5,
  711. min_weight_fraction_leaf=0.0, presort='deprecated',
  712. random_state=2921, splitter='best'), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  713. 2022-01-17 13:07:50,222:INFO:Checking exceptions
  714. 2022-01-17 13:07:50,222:INFO:Preparing display monitor
  715. 2022-01-17 13:07:50,226:INFO:Preloading libraries
  716. 2022-01-17 13:07:50,227:INFO:Copying training dataset
  717. 2022-01-17 13:07:50,228:INFO:Copying test dataset
  718. 2022-01-17 13:07:50,228:INFO:Plot type: auc
  719. 2022-01-17 13:07:50,229:INFO:Initializing get_config()
  720. 2022-01-17 13:07:50,229:INFO:get_config(variable=prep_pipe)
  721. 2022-01-17 13:07:50,232:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  722. steps=[('dtypes',
  723. DataTypes_Auto_infer(categorical_features=[],
  724. display_types=True, features_todrop=[],
  725. id_columns=[],
  726. ml_usecase='classification',
  727. numerical_features=[], target='label',
  728. time_features=[])),
  729. ('imputer',
  730. Simple_Imputer(categorical_strategy='not_available',
  731. fill_value_categorical=None,
  732. fill_value_numerical=None,
  733. numeric_strate...
  734. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  735. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  736. ('cluster_all', 'passthrough'),
  737. ('dummy', Dummify(target='label')),
  738. ('fix_perfect', Remove_100(target='label')),
  739. ('clean_names', Clean_Colum_Names()),
  740. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  741. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  742. verbose=False)
  743. 2022-01-17 13:07:50,232:INFO:get_config() succesfully completed......................................
  744. 2022-01-17 13:07:50,233:INFO:Fitting Model
  745. 2022-01-17 13:07:50,234:INFO:Scoring test/hold-out set
  746. 2022-01-17 13:07:50,365:INFO:Visual Rendered Successfully
  747. 2022-01-17 13:07:50,439:INFO:plot_model() succesfully completed......................................
  748. 2022-01-17 13:08:07,287:INFO:Initializing plot_model()
  749. 2022-01-17 13:08:07,288:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  750. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  751. min_impurity_decrease=0.0005, min_impurity_split=None,
  752. min_samples_leaf=4, min_samples_split=5,
  753. min_weight_fraction_leaf=0.0, presort='deprecated',
  754. random_state=2921, splitter='best'), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=accuracy, plot_kwargs=None, save=False, scale=1, system=True)
  755. 2022-01-17 13:08:07,288:INFO:Checking exceptions
  756. 2022-01-17 13:08:14,531:INFO:Initializing plot_model()
  757. 2022-01-17 13:08:14,532:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  758. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  759. min_impurity_decrease=0.0005, min_impurity_split=None,
  760. min_samples_leaf=4, min_samples_split=5,
  761. min_weight_fraction_leaf=0.0, presort='deprecated',
  762. random_state=2921, splitter='best'), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=pr, plot_kwargs=None, save=False, scale=1, system=True)
  763. 2022-01-17 13:08:14,532:INFO:Checking exceptions
  764. 2022-01-17 13:08:14,533:INFO:Preparing display monitor
  765. 2022-01-17 13:08:14,537:INFO:Preloading libraries
  766. 2022-01-17 13:08:14,538:INFO:Copying training dataset
  767. 2022-01-17 13:08:14,538:INFO:Copying test dataset
  768. 2022-01-17 13:08:14,539:INFO:Plot type: pr
  769. 2022-01-17 13:08:14,540:INFO:Fitting Model
  770. 2022-01-17 13:08:14,541:INFO:Scoring test/hold-out set
  771. 2022-01-17 13:08:14,627:INFO:Visual Rendered Successfully
  772. 2022-01-17 13:08:14,702:INFO:plot_model() succesfully completed......................................
  773. 2022-01-17 13:08:40,735:INFO:Initializing plot_model()
  774. 2022-01-17 13:08:40,736:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  775. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  776. min_impurity_decrease=0.0005, min_impurity_split=None,
  777. min_samples_leaf=4, min_samples_split=5,
  778. min_weight_fraction_leaf=0.0, presort='deprecated',
  779. random_state=2921, splitter='best'), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  780. 2022-01-17 13:08:40,736:INFO:Checking exceptions
  781. 2022-01-17 13:08:40,737:INFO:Preparing display monitor
  782. 2022-01-17 13:08:40,741:INFO:Preloading libraries
  783. 2022-01-17 13:08:40,742:INFO:Copying training dataset
  784. 2022-01-17 13:08:40,742:INFO:Copying test dataset
  785. 2022-01-17 13:08:40,743:INFO:Plot type: feature
  786. 2022-01-17 13:08:40,744:WARNING:No coef_ found. Trying feature_importances_
  787. 2022-01-17 13:08:40,820:INFO:Visual Rendered Successfully
  788. 2022-01-17 13:08:40,899:INFO:plot_model() succesfully completed......................................
  789. 2022-01-17 13:23:17,701:INFO:Initializing create_model()
  790. 2022-01-17 13:23:17,701:INFO:create_model(estimator=nb, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  791. 2022-01-17 13:23:17,701:INFO:Checking exceptions
  792. 2022-01-17 13:23:17,702:INFO:Preparing display monitor
  793. 2022-01-17 13:23:17,712:INFO:Importing libraries
  794. 2022-01-17 13:23:17,712:INFO:Copying training dataset
  795. 2022-01-17 13:23:17,713:INFO:Defining folds
  796. 2022-01-17 13:23:17,713:INFO:Declaring metric variables
  797. 2022-01-17 13:23:17,717:INFO:Importing untrained model
  798. 2022-01-17 13:23:17,722:INFO:Naive Bayes Imported succesfully
  799. 2022-01-17 13:23:17,731:INFO:Starting cross validation
  800. 2022-01-17 13:23:17,731:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  801. 2022-01-17 13:23:17,844:INFO:Calculating mean and std
  802. 2022-01-17 13:23:17,845:INFO:Creating metrics dataframe
  803. 2022-01-17 13:23:17,851:INFO:Finalizing model
  804. 2022-01-17 13:23:17,855:INFO:Uploading results into container
  805. 2022-01-17 13:23:17,855:INFO:Uploading model into container now
  806. 2022-01-17 13:23:17,864:INFO:create_model_container: 18
  807. 2022-01-17 13:23:17,865:INFO:master_model_container: 18
  808. 2022-01-17 13:23:17,865:INFO:display_container: 6
  809. 2022-01-17 13:23:17,865:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  810. 2022-01-17 13:23:17,865:INFO:create_model() succesfully completed......................................
  811. 2022-01-17 13:23:31,722:INFO:Initializing tune_model()
  812. 2022-01-17 13:23:31,722:INFO:tune_model(estimator=GaussianNB(priors=None, var_smoothing=1e-09), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  813. 2022-01-17 13:23:31,723:INFO:Checking exceptions
  814. 2022-01-17 13:23:31,724:INFO:Preparing display monitor
  815. 2022-01-17 13:23:31,735:INFO:Copying training dataset
  816. 2022-01-17 13:23:31,736:INFO:Checking base model
  817. 2022-01-17 13:23:31,736:INFO:Base model : Naive Bayes
  818. 2022-01-17 13:23:31,741:INFO:Declaring metric variables
  819. 2022-01-17 13:23:31,745:INFO:Defining Hyperparameters
  820. 2022-01-17 13:23:31,820:INFO:Tuning with n_jobs=-1
  821. 2022-01-17 13:23:31,820:INFO:Initializing RandomizedSearchCV
  822. 2022-01-17 13:23:34,136:INFO:best_params: {'actual_estimator__var_smoothing': 0.01}
  823. 2022-01-17 13:23:34,137:INFO:Hyperparameter search completed
  824. 2022-01-17 13:23:34,137:INFO:SubProcess create_model() called ==================================
  825. 2022-01-17 13:23:34,138:INFO:Initializing create_model()
  826. 2022-01-17 13:23:34,138:INFO:create_model(estimator=GaussianNB(priors=None, var_smoothing=1e-09), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49dc5b7b80>, kwargs={'var_smoothing': 0.01})
  827. 2022-01-17 13:23:34,138:INFO:Checking exceptions
  828. 2022-01-17 13:23:34,139:INFO:Importing libraries
  829. 2022-01-17 13:23:34,139:INFO:Copying training dataset
  830. 2022-01-17 13:23:34,140:INFO:Defining folds
  831. 2022-01-17 13:23:34,140:INFO:Declaring metric variables
  832. 2022-01-17 13:23:34,145:INFO:Importing untrained model
  833. 2022-01-17 13:23:34,146:INFO:Declaring custom model
  834. 2022-01-17 13:23:34,150:INFO:Naive Bayes Imported succesfully
  835. 2022-01-17 13:23:34,160:INFO:Starting cross validation
  836. 2022-01-17 13:23:34,160:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  837. 2022-01-17 13:23:34,272:INFO:Calculating mean and std
  838. 2022-01-17 13:23:34,273:INFO:Creating metrics dataframe
  839. 2022-01-17 13:23:34,280:INFO:Finalizing model
  840. 2022-01-17 13:23:34,284:INFO:Uploading results into container
  841. 2022-01-17 13:23:34,285:INFO:Uploading model into container now
  842. 2022-01-17 13:23:34,285:INFO:create_model_container: 19
  843. 2022-01-17 13:23:34,285:INFO:master_model_container: 19
  844. 2022-01-17 13:23:34,285:INFO:display_container: 7
  845. 2022-01-17 13:23:34,285:INFO:GaussianNB(priors=None, var_smoothing=0.01)
  846. 2022-01-17 13:23:34,286:INFO:create_model() succesfully completed......................................
  847. 2022-01-17 13:23:34,364:INFO:SubProcess create_model() end ==================================
  848. 2022-01-17 13:23:34,373:INFO:create_model_container: 19
  849. 2022-01-17 13:23:34,374:INFO:master_model_container: 19
  850. 2022-01-17 13:23:34,374:INFO:display_container: 7
  851. 2022-01-17 13:23:34,374:INFO:GaussianNB(priors=None, var_smoothing=0.01)
  852. 2022-01-17 13:23:34,374:INFO:tune_model() succesfully completed......................................
  853. 2022-01-17 13:23:47,434:INFO:Initializing plot_model()
  854. 2022-01-17 13:23:47,435:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=GaussianNB(priors=None, var_smoothing=0.01), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=pr, plot_kwargs=None, save=False, scale=1, system=True)
  855. 2022-01-17 13:23:47,435:INFO:Checking exceptions
  856. 2022-01-17 13:23:47,436:INFO:Preparing display monitor
  857. 2022-01-17 13:23:47,440:INFO:Preloading libraries
  858. 2022-01-17 13:23:47,441:INFO:Copying training dataset
  859. 2022-01-17 13:23:47,443:INFO:Copying test dataset
  860. 2022-01-17 13:23:47,444:INFO:Plot type: pr
  861. 2022-01-17 13:23:47,445:INFO:Fitting Model
  862. 2022-01-17 13:23:47,446:INFO:Scoring test/hold-out set
  863. 2022-01-17 13:23:47,568:INFO:Visual Rendered Successfully
  864. 2022-01-17 13:23:47,644:INFO:plot_model() succesfully completed......................................
  865. 2022-01-17 13:23:51,601:INFO:Initializing plot_model()
  866. 2022-01-17 13:23:51,601:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=GaussianNB(priors=None, var_smoothing=0.01), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  867. 2022-01-17 13:23:51,601:INFO:Checking exceptions
  868. 2022-01-17 13:23:56,530:INFO:Initializing plot_model()
  869. 2022-01-17 13:23:56,531:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=GaussianNB(priors=None, var_smoothing=0.01), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  870. 2022-01-17 13:23:56,531:INFO:Checking exceptions
  871. 2022-01-17 13:24:20,450:INFO:Initializing create_model()
  872. 2022-01-17 13:24:20,451:INFO:create_model(estimator=et, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  873. 2022-01-17 13:24:20,451:INFO:Checking exceptions
  874. 2022-01-17 13:24:20,451:INFO:Preparing display monitor
  875. 2022-01-17 13:24:20,462:INFO:Importing libraries
  876. 2022-01-17 13:24:20,462:INFO:Copying training dataset
  877. 2022-01-17 13:24:20,463:INFO:Defining folds
  878. 2022-01-17 13:24:20,463:INFO:Declaring metric variables
  879. 2022-01-17 13:24:20,468:INFO:Importing untrained model
  880. 2022-01-17 13:24:20,473:INFO:Extra Trees Classifier Imported succesfully
  881. 2022-01-17 13:24:20,483:INFO:Starting cross validation
  882. 2022-01-17 13:24:20,484:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  883. 2022-01-17 13:24:26,180:INFO:Calculating mean and std
  884. 2022-01-17 13:24:26,181:INFO:Creating metrics dataframe
  885. 2022-01-17 13:24:26,188:INFO:Finalizing model
  886. 2022-01-17 13:24:26,427:INFO:Uploading results into container
  887. 2022-01-17 13:24:26,428:INFO:Uploading model into container now
  888. 2022-01-17 13:24:26,438:INFO:create_model_container: 20
  889. 2022-01-17 13:24:26,438:INFO:master_model_container: 20
  890. 2022-01-17 13:24:26,439:INFO:display_container: 8
  891. 2022-01-17 13:24:26,439:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  892. criterion='gini', max_depth=None, max_features='auto',
  893. max_leaf_nodes=None, max_samples=None,
  894. min_impurity_decrease=0.0, min_impurity_split=None,
  895. min_samples_leaf=1, min_samples_split=2,
  896. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  897. oob_score=False, random_state=2921, verbose=0,
  898. warm_start=False)
  899. 2022-01-17 13:24:26,439:INFO:create_model() succesfully completed......................................
  900. 2022-01-17 13:24:29,968:INFO:Initializing tune_model()
  901. 2022-01-17 13:24:29,968:INFO:tune_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  902. criterion='gini', max_depth=None, max_features='auto',
  903. max_leaf_nodes=None, max_samples=None,
  904. min_impurity_decrease=0.0, min_impurity_split=None,
  905. min_samples_leaf=1, min_samples_split=2,
  906. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  907. oob_score=False, random_state=2921, verbose=0,
  908. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  909. 2022-01-17 13:24:29,969:INFO:Checking exceptions
  910. 2022-01-17 13:24:29,970:INFO:Preparing display monitor
  911. 2022-01-17 13:24:29,980:INFO:Copying training dataset
  912. 2022-01-17 13:24:29,981:INFO:Checking base model
  913. 2022-01-17 13:24:29,981:INFO:Base model : Extra Trees Classifier
  914. 2022-01-17 13:24:29,987:INFO:Declaring metric variables
  915. 2022-01-17 13:24:29,991:INFO:Defining Hyperparameters
  916. 2022-01-17 13:24:30,077:INFO:Tuning with n_jobs=-1
  917. 2022-01-17 13:24:30,077:INFO:Initializing RandomizedSearchCV
  918. 2022-01-17 13:24:34,730:INFO:best_params: {'actual_estimator__n_estimators': 40, 'actual_estimator__min_samples_split': 7, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.0002, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 8, 'actual_estimator__criterion': 'entropy', 'actual_estimator__class_weight': {}, 'actual_estimator__bootstrap': False}
  919. 2022-01-17 13:24:34,731:INFO:Hyperparameter search completed
  920. 2022-01-17 13:24:34,731:INFO:SubProcess create_model() called ==================================
  921. 2022-01-17 13:24:34,731:INFO:Initializing create_model()
  922. 2022-01-17 13:24:34,732:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  923. criterion='gini', max_depth=None, max_features='auto',
  924. max_leaf_nodes=None, max_samples=None,
  925. min_impurity_decrease=0.0, min_impurity_split=None,
  926. min_samples_leaf=1, min_samples_split=2,
  927. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  928. oob_score=False, random_state=2921, verbose=0,
  929. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f4b8037c220>, kwargs={'n_estimators': 40, 'min_samples_split': 7, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.0002, 'max_features': 1.0, 'max_depth': 8, 'criterion': 'entropy', 'class_weight': {}, 'bootstrap': False})
  930. 2022-01-17 13:24:34,732:INFO:Checking exceptions
  931. 2022-01-17 13:24:34,732:INFO:Importing libraries
  932. 2022-01-17 13:24:34,732:INFO:Copying training dataset
  933. 2022-01-17 13:24:34,733:INFO:Defining folds
  934. 2022-01-17 13:24:34,733:INFO:Declaring metric variables
  935. 2022-01-17 13:24:34,738:INFO:Importing untrained model
  936. 2022-01-17 13:24:34,738:INFO:Declaring custom model
  937. 2022-01-17 13:24:34,743:INFO:Extra Trees Classifier Imported succesfully
  938. 2022-01-17 13:24:34,753:INFO:Starting cross validation
  939. 2022-01-17 13:24:34,753:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  940. 2022-01-17 13:24:37,798:INFO:Calculating mean and std
  941. 2022-01-17 13:24:37,798:INFO:Creating metrics dataframe
  942. 2022-01-17 13:24:37,805:INFO:Finalizing model
  943. 2022-01-17 13:24:37,916:INFO:Uploading results into container
  944. 2022-01-17 13:24:37,917:INFO:Uploading model into container now
  945. 2022-01-17 13:24:37,917:INFO:create_model_container: 21
  946. 2022-01-17 13:24:37,917:INFO:master_model_container: 21
  947. 2022-01-17 13:24:37,917:INFO:display_container: 9
  948. 2022-01-17 13:24:37,918:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  949. criterion='entropy', max_depth=8, max_features=1.0,
  950. max_leaf_nodes=None, max_samples=None,
  951. min_impurity_decrease=0.0002, min_impurity_split=None,
  952. min_samples_leaf=5, min_samples_split=7,
  953. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  954. oob_score=False, random_state=2921, verbose=0,
  955. warm_start=False)
  956. 2022-01-17 13:24:37,918:INFO:create_model() succesfully completed......................................
  957. 2022-01-17 13:24:37,986:INFO:SubProcess create_model() end ==================================
  958. 2022-01-17 13:24:37,996:INFO:create_model_container: 21
  959. 2022-01-17 13:24:37,997:INFO:master_model_container: 21
  960. 2022-01-17 13:24:37,997:INFO:display_container: 9
  961. 2022-01-17 13:24:37,997:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  962. criterion='entropy', max_depth=8, max_features=1.0,
  963. max_leaf_nodes=None, max_samples=None,
  964. min_impurity_decrease=0.0002, min_impurity_split=None,
  965. min_samples_leaf=5, min_samples_split=7,
  966. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  967. oob_score=False, random_state=2921, verbose=0,
  968. warm_start=False)
  969. 2022-01-17 13:24:37,997:INFO:tune_model() succesfully completed......................................
  970. 2022-01-17 13:24:40,770:INFO:Initializing plot_model()
  971. 2022-01-17 13:24:40,771:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  972. criterion='entropy', max_depth=8, max_features=1.0,
  973. max_leaf_nodes=None, max_samples=None,
  974. min_impurity_decrease=0.0002, min_impurity_split=None,
  975. min_samples_leaf=5, min_samples_split=7,
  976. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  977. oob_score=False, random_state=2921, verbose=0,
  978. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=pr, plot_kwargs=None, save=False, scale=1, system=True)
  979. 2022-01-17 13:24:40,771:INFO:Checking exceptions
  980. 2022-01-17 13:24:40,779:INFO:Preparing display monitor
  981. 2022-01-17 13:24:40,784:INFO:Preloading libraries
  982. 2022-01-17 13:24:40,790:INFO:Copying training dataset
  983. 2022-01-17 13:24:40,791:INFO:Copying test dataset
  984. 2022-01-17 13:24:40,792:INFO:Plot type: pr
  985. 2022-01-17 13:24:40,806:INFO:Fitting Model
  986. 2022-01-17 13:24:40,808:INFO:Scoring test/hold-out set
  987. 2022-01-17 13:24:40,927:INFO:Visual Rendered Successfully
  988. 2022-01-17 13:24:41,004:INFO:plot_model() succesfully completed......................................
  989. 2022-01-17 13:24:44,796:INFO:Initializing plot_model()
  990. 2022-01-17 13:24:44,796:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  991. criterion='entropy', max_depth=8, max_features=1.0,
  992. max_leaf_nodes=None, max_samples=None,
  993. min_impurity_decrease=0.0002, min_impurity_split=None,
  994. min_samples_leaf=5, min_samples_split=7,
  995. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  996. oob_score=False, random_state=2921, verbose=0,
  997. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  998. 2022-01-17 13:24:44,796:INFO:Checking exceptions
  999. 2022-01-17 13:24:44,804:INFO:Preparing display monitor
  1000. 2022-01-17 13:24:44,808:INFO:Preloading libraries
  1001. 2022-01-17 13:24:44,815:INFO:Copying training dataset
  1002. 2022-01-17 13:24:44,815:INFO:Copying test dataset
  1003. 2022-01-17 13:24:44,816:INFO:Plot type: feature
  1004. 2022-01-17 13:24:44,830:WARNING:No coef_ found. Trying feature_importances_
  1005. 2022-01-17 13:24:44,919:INFO:Visual Rendered Successfully
  1006. 2022-01-17 13:24:44,994:INFO:plot_model() succesfully completed......................................
  1007. 2022-01-17 13:46:48,121:INFO:Initializing create_model()
  1008. 2022-01-17 13:46:48,122:INFO:create_model(estimator=et, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  1009. 2022-01-17 13:46:48,122:INFO:Checking exceptions
  1010. 2022-01-17 13:46:48,122:INFO:Preparing display monitor
  1011. 2022-01-17 13:46:48,133:INFO:Importing libraries
  1012. 2022-01-17 13:46:48,134:INFO:Copying training dataset
  1013. 2022-01-17 13:46:48,134:INFO:Defining folds
  1014. 2022-01-17 13:46:48,135:INFO:Declaring metric variables
  1015. 2022-01-17 13:46:48,139:INFO:Importing untrained model
  1016. 2022-01-17 13:46:48,144:INFO:Extra Trees Classifier Imported succesfully
  1017. 2022-01-17 13:46:48,154:INFO:Starting cross validation
  1018. 2022-01-17 13:46:48,154:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1019. 2022-01-17 13:46:54,751:INFO:Calculating mean and std
  1020. 2022-01-17 13:46:54,752:INFO:Creating metrics dataframe
  1021. 2022-01-17 13:46:54,760:INFO:Finalizing model
  1022. 2022-01-17 13:46:55,004:INFO:Uploading results into container
  1023. 2022-01-17 13:46:55,005:INFO:Uploading model into container now
  1024. 2022-01-17 13:46:55,016:INFO:create_model_container: 22
  1025. 2022-01-17 13:46:55,016:INFO:master_model_container: 22
  1026. 2022-01-17 13:46:55,016:INFO:display_container: 10
  1027. 2022-01-17 13:46:55,017:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  1028. criterion='gini', max_depth=None, max_features='auto',
  1029. max_leaf_nodes=None, max_samples=None,
  1030. min_impurity_decrease=0.0, min_impurity_split=None,
  1031. min_samples_leaf=1, min_samples_split=2,
  1032. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  1033. oob_score=False, random_state=2921, verbose=0,
  1034. warm_start=False)
  1035. 2022-01-17 13:46:55,017:INFO:create_model() succesfully completed......................................
  1036. 2022-01-17 13:47:12,691:INFO:Initializing create_model()
  1037. 2022-01-17 13:47:12,691:INFO:create_model(estimator=et, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  1038. 2022-01-17 13:47:12,691:INFO:Checking exceptions
  1039. 2022-01-17 13:47:12,692:INFO:Preparing display monitor
  1040. 2022-01-17 13:47:12,702:INFO:Importing libraries
  1041. 2022-01-17 13:47:12,702:INFO:Copying training dataset
  1042. 2022-01-17 13:47:12,703:INFO:Defining folds
  1043. 2022-01-17 13:47:12,704:INFO:Declaring metric variables
  1044. 2022-01-17 13:47:12,708:INFO:Importing untrained model
  1045. 2022-01-17 13:47:12,713:INFO:Extra Trees Classifier Imported succesfully
  1046. 2022-01-17 13:47:12,723:INFO:Starting cross validation
  1047. 2022-01-17 13:47:12,723:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1048. 2022-01-17 13:47:18,421:INFO:Calculating mean and std
  1049. 2022-01-17 13:47:18,422:INFO:Creating metrics dataframe
  1050. 2022-01-17 13:47:18,430:INFO:Finalizing model
  1051. 2022-01-17 13:47:18,672:INFO:Uploading results into container
  1052. 2022-01-17 13:47:18,673:INFO:Uploading model into container now
  1053. 2022-01-17 13:47:18,683:INFO:create_model_container: 23
  1054. 2022-01-17 13:47:18,684:INFO:master_model_container: 23
  1055. 2022-01-17 13:47:18,684:INFO:display_container: 11
  1056. 2022-01-17 13:47:18,684:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  1057. criterion='gini', max_depth=None, max_features='auto',
  1058. max_leaf_nodes=None, max_samples=None,
  1059. min_impurity_decrease=0.0, min_impurity_split=None,
  1060. min_samples_leaf=1, min_samples_split=2,
  1061. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  1062. oob_score=False, random_state=2921, verbose=0,
  1063. warm_start=False)
  1064. 2022-01-17 13:47:18,684:INFO:create_model() succesfully completed......................................
  1065. 2022-01-17 13:48:54,838:INFO:Initializing plot_model()
  1066. 2022-01-17 13:48:54,838:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1067. criterion='entropy', max_depth=8, max_features=1.0,
  1068. max_leaf_nodes=None, max_samples=None,
  1069. min_impurity_decrease=0.0002, min_impurity_split=None,
  1070. min_samples_leaf=5, min_samples_split=7,
  1071. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1072. oob_score=False, random_state=2921, verbose=0,
  1073. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  1074. 2022-01-17 13:48:54,838:INFO:Checking exceptions
  1075. 2022-01-17 13:48:54,845:INFO:Preparing display monitor
  1076. 2022-01-17 13:48:54,850:INFO:Preloading libraries
  1077. 2022-01-17 13:48:54,856:INFO:Copying training dataset
  1078. 2022-01-17 13:48:54,857:INFO:Copying test dataset
  1079. 2022-01-17 13:48:54,858:INFO:Plot type: auc
  1080. 2022-01-17 13:48:54,874:INFO:Initializing get_config()
  1081. 2022-01-17 13:48:54,874:INFO:get_config(variable=prep_pipe)
  1082. 2022-01-17 13:48:54,877:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1083. steps=[('dtypes',
  1084. DataTypes_Auto_infer(categorical_features=[],
  1085. display_types=True, features_todrop=[],
  1086. id_columns=[],
  1087. ml_usecase='classification',
  1088. numerical_features=[], target='label',
  1089. time_features=[])),
  1090. ('imputer',
  1091. Simple_Imputer(categorical_strategy='not_available',
  1092. fill_value_categorical=None,
  1093. fill_value_numerical=None,
  1094. numeric_strate...
  1095. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1096. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1097. ('cluster_all', 'passthrough'),
  1098. ('dummy', Dummify(target='label')),
  1099. ('fix_perfect', Remove_100(target='label')),
  1100. ('clean_names', Clean_Colum_Names()),
  1101. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1102. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1103. verbose=False)
  1104. 2022-01-17 13:48:54,877:INFO:get_config() succesfully completed......................................
  1105. 2022-01-17 13:48:54,878:INFO:Fitting Model
  1106. 2022-01-17 13:48:54,879:INFO:Scoring test/hold-out set
  1107. 2022-01-17 13:48:55,012:INFO:Visual Rendered Successfully
  1108. 2022-01-17 13:48:55,087:INFO:plot_model() succesfully completed......................................
  1109. 2022-01-17 13:59:28,170:INFO:Initializing plot_model()
  1110. 2022-01-17 13:59:28,171:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1111. criterion='entropy', max_depth=8, max_features=1.0,
  1112. max_leaf_nodes=None, max_samples=None,
  1113. min_impurity_decrease=0.0002, min_impurity_split=None,
  1114. min_samples_leaf=5, min_samples_split=7,
  1115. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1116. oob_score=False, random_state=2921, verbose=0,
  1117. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  1118. 2022-01-17 13:59:28,171:INFO:Checking exceptions
  1119. 2022-01-17 13:59:28,178:INFO:Preparing display monitor
  1120. 2022-01-17 13:59:28,184:INFO:Preloading libraries
  1121. 2022-01-17 13:59:28,188:INFO:Copying training dataset
  1122. 2022-01-17 13:59:28,189:INFO:Copying test dataset
  1123. 2022-01-17 13:59:28,189:INFO:Plot type: auc
  1124. 2022-01-17 13:59:28,204:INFO:Initializing get_config()
  1125. 2022-01-17 13:59:28,204:INFO:get_config(variable=prep_pipe)
  1126. 2022-01-17 13:59:28,207:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1127. steps=[('dtypes',
  1128. DataTypes_Auto_infer(categorical_features=[],
  1129. display_types=True, features_todrop=[],
  1130. id_columns=[],
  1131. ml_usecase='classification',
  1132. numerical_features=[], target='label',
  1133. time_features=[])),
  1134. ('imputer',
  1135. Simple_Imputer(categorical_strategy='not_available',
  1136. fill_value_categorical=None,
  1137. fill_value_numerical=None,
  1138. numeric_strate...
  1139. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1140. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1141. ('cluster_all', 'passthrough'),
  1142. ('dummy', Dummify(target='label')),
  1143. ('fix_perfect', Remove_100(target='label')),
  1144. ('clean_names', Clean_Colum_Names()),
  1145. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1146. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1147. verbose=False)
  1148. 2022-01-17 13:59:28,207:INFO:get_config() succesfully completed......................................
  1149. 2022-01-17 13:59:28,207:INFO:Fitting Model
  1150. 2022-01-17 13:59:28,209:INFO:Scoring test/hold-out set
  1151. 2022-01-17 13:59:28,339:INFO:Visual Rendered Successfully
  1152. 2022-01-17 13:59:28,412:INFO:plot_model() succesfully completed......................................
  1153. 2022-01-17 13:59:32,803:INFO:Initializing plot_model()
  1154. 2022-01-17 13:59:32,804:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1155. criterion='entropy', max_depth=8, max_features=1.0,
  1156. max_leaf_nodes=None, max_samples=None,
  1157. min_impurity_decrease=0.0002, min_impurity_split=None,
  1158. min_samples_leaf=5, min_samples_split=7,
  1159. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1160. oob_score=False, random_state=2921, verbose=0,
  1161. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  1162. 2022-01-17 13:59:32,804:INFO:Checking exceptions
  1163. 2022-01-17 13:59:32,812:INFO:Preparing display monitor
  1164. 2022-01-17 13:59:32,816:INFO:Preloading libraries
  1165. 2022-01-17 13:59:32,822:INFO:Copying training dataset
  1166. 2022-01-17 13:59:32,823:INFO:Copying test dataset
  1167. 2022-01-17 13:59:32,823:INFO:Plot type: auc
  1168. 2022-01-17 13:59:32,838:INFO:Initializing get_config()
  1169. 2022-01-17 13:59:32,838:INFO:get_config(variable=prep_pipe)
  1170. 2022-01-17 13:59:32,840:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1171. steps=[('dtypes',
  1172. DataTypes_Auto_infer(categorical_features=[],
  1173. display_types=True, features_todrop=[],
  1174. id_columns=[],
  1175. ml_usecase='classification',
  1176. numerical_features=[], target='label',
  1177. time_features=[])),
  1178. ('imputer',
  1179. Simple_Imputer(categorical_strategy='not_available',
  1180. fill_value_categorical=None,
  1181. fill_value_numerical=None,
  1182. numeric_strate...
  1183. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1184. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1185. ('cluster_all', 'passthrough'),
  1186. ('dummy', Dummify(target='label')),
  1187. ('fix_perfect', Remove_100(target='label')),
  1188. ('clean_names', Clean_Colum_Names()),
  1189. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1190. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1191. verbose=False)
  1192. 2022-01-17 13:59:32,841:INFO:get_config() succesfully completed......................................
  1193. 2022-01-17 13:59:32,841:INFO:Fitting Model
  1194. 2022-01-17 13:59:32,843:INFO:Scoring test/hold-out set
  1195. 2022-01-17 13:59:32,974:INFO:Visual Rendered Successfully
  1196. 2022-01-17 13:59:33,048:INFO:plot_model() succesfully completed......................................
  1197. 2022-01-17 14:00:28,156:INFO:Initializing evaluate_model()
  1198. 2022-01-17 14:00:28,156:INFO:evaluate_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1199. criterion='entropy', max_depth=8, max_features=1.0,
  1200. max_leaf_nodes=None, max_samples=None,
  1201. min_impurity_decrease=0.0002, min_impurity_split=None,
  1202. min_samples_leaf=5, min_samples_split=7,
  1203. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1204. oob_score=False, random_state=2921, verbose=0,
  1205. warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  1206. 2022-01-17 14:00:28,175:INFO:Initializing plot_model()
  1207. 2022-01-17 14:00:28,176:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1208. criterion='entropy', max_depth=8, max_features=1.0,
  1209. max_leaf_nodes=None, max_samples=None,
  1210. min_impurity_decrease=0.0002, min_impurity_split=None,
  1211. min_samples_leaf=5, min_samples_split=7,
  1212. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1213. oob_score=False, random_state=2921, verbose=0,
  1214. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  1215. 2022-01-17 14:00:28,176:INFO:Checking exceptions
  1216. 2022-01-17 14:00:28,183:INFO:Preparing display monitor
  1217. 2022-01-17 14:00:28,188:INFO:Preloading libraries
  1218. 2022-01-17 14:00:28,194:INFO:Copying training dataset
  1219. 2022-01-17 14:00:28,194:INFO:Copying test dataset
  1220. 2022-01-17 14:00:28,195:INFO:Plot type: parameter
  1221. 2022-01-17 14:00:28,212:INFO:Visual Rendered Successfully
  1222. 2022-01-17 14:00:28,289:INFO:plot_model() succesfully completed......................................
  1223. 2022-01-17 14:00:36,182:INFO:Initializing plot_model()
  1224. 2022-01-17 14:00:36,182:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1225. criterion='entropy', max_depth=8, max_features=1.0,
  1226. max_leaf_nodes=None, max_samples=None,
  1227. min_impurity_decrease=0.0002, min_impurity_split=None,
  1228. min_samples_leaf=5, min_samples_split=7,
  1229. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1230. oob_score=False, random_state=2921, verbose=0,
  1231. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  1232. 2022-01-17 14:00:36,183:INFO:Checking exceptions
  1233. 2022-01-17 14:00:36,190:INFO:Preparing display monitor
  1234. 2022-01-17 14:00:36,195:INFO:Preloading libraries
  1235. 2022-01-17 14:00:36,199:INFO:Copying training dataset
  1236. 2022-01-17 14:00:36,200:INFO:Copying test dataset
  1237. 2022-01-17 14:00:36,200:INFO:Plot type: auc
  1238. 2022-01-17 14:00:36,215:INFO:Initializing get_config()
  1239. 2022-01-17 14:00:36,215:INFO:get_config(variable=prep_pipe)
  1240. 2022-01-17 14:00:36,218:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1241. steps=[('dtypes',
  1242. DataTypes_Auto_infer(categorical_features=[],
  1243. display_types=True, features_todrop=[],
  1244. id_columns=[],
  1245. ml_usecase='classification',
  1246. numerical_features=[], target='label',
  1247. time_features=[])),
  1248. ('imputer',
  1249. Simple_Imputer(categorical_strategy='not_available',
  1250. fill_value_categorical=None,
  1251. fill_value_numerical=None,
  1252. numeric_strate...
  1253. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1254. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1255. ('cluster_all', 'passthrough'),
  1256. ('dummy', Dummify(target='label')),
  1257. ('fix_perfect', Remove_100(target='label')),
  1258. ('clean_names', Clean_Colum_Names()),
  1259. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1260. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1261. verbose=False)
  1262. 2022-01-17 14:00:36,218:INFO:get_config() succesfully completed......................................
  1263. 2022-01-17 14:00:36,219:INFO:Fitting Model
  1264. 2022-01-17 14:00:36,220:INFO:Scoring test/hold-out set
  1265. 2022-01-17 14:00:36,351:INFO:Visual Rendered Successfully
  1266. 2022-01-17 14:00:36,423:INFO:plot_model() succesfully completed......................................
  1267. 2022-01-17 14:00:38,272:INFO:Initializing plot_model()
  1268. 2022-01-17 14:00:38,273:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1269. criterion='entropy', max_depth=8, max_features=1.0,
  1270. max_leaf_nodes=None, max_samples=None,
  1271. min_impurity_decrease=0.0002, min_impurity_split=None,
  1272. min_samples_leaf=5, min_samples_split=7,
  1273. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1274. oob_score=False, random_state=2921, verbose=0,
  1275. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  1276. 2022-01-17 14:00:38,273:INFO:Checking exceptions
  1277. 2022-01-17 14:00:38,281:INFO:Preparing display monitor
  1278. 2022-01-17 14:00:38,286:INFO:Preloading libraries
  1279. 2022-01-17 14:00:38,289:INFO:Copying training dataset
  1280. 2022-01-17 14:00:38,290:INFO:Copying test dataset
  1281. 2022-01-17 14:00:38,290:INFO:Plot type: confusion_matrix
  1282. 2022-01-17 14:00:38,305:INFO:Initializing get_config()
  1283. 2022-01-17 14:00:38,305:INFO:get_config(variable=prep_pipe)
  1284. 2022-01-17 14:00:38,308:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1285. steps=[('dtypes',
  1286. DataTypes_Auto_infer(categorical_features=[],
  1287. display_types=True, features_todrop=[],
  1288. id_columns=[],
  1289. ml_usecase='classification',
  1290. numerical_features=[], target='label',
  1291. time_features=[])),
  1292. ('imputer',
  1293. Simple_Imputer(categorical_strategy='not_available',
  1294. fill_value_categorical=None,
  1295. fill_value_numerical=None,
  1296. numeric_strate...
  1297. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1298. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1299. ('cluster_all', 'passthrough'),
  1300. ('dummy', Dummify(target='label')),
  1301. ('fix_perfect', Remove_100(target='label')),
  1302. ('clean_names', Clean_Colum_Names()),
  1303. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1304. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1305. verbose=False)
  1306. 2022-01-17 14:00:38,308:INFO:get_config() succesfully completed......................................
  1307. 2022-01-17 14:00:38,309:INFO:Fitting Model
  1308. 2022-01-17 14:00:38,310:INFO:Scoring test/hold-out set
  1309. 2022-01-17 14:00:38,440:INFO:Visual Rendered Successfully
  1310. 2022-01-17 14:00:38,514:INFO:plot_model() succesfully completed......................................
  1311. 2022-01-17 14:00:43,883:INFO:Initializing plot_model()
  1312. 2022-01-17 14:00:43,884:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1313. criterion='entropy', max_depth=8, max_features=1.0,
  1314. max_leaf_nodes=None, max_samples=None,
  1315. min_impurity_decrease=0.0002, min_impurity_split=None,
  1316. min_samples_leaf=5, min_samples_split=7,
  1317. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1318. oob_score=False, random_state=2921, verbose=0,
  1319. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  1320. 2022-01-17 14:00:43,884:INFO:Checking exceptions
  1321. 2022-01-17 14:00:43,892:INFO:Preparing display monitor
  1322. 2022-01-17 14:00:43,897:INFO:Preloading libraries
  1323. 2022-01-17 14:00:43,904:INFO:Copying training dataset
  1324. 2022-01-17 14:00:43,904:INFO:Copying test dataset
  1325. 2022-01-17 14:00:43,905:INFO:Plot type: threshold
  1326. 2022-01-17 14:00:43,920:INFO:Fitting Model
  1327. 2022-01-17 14:00:50,535:INFO:Scoring test/hold-out set
  1328. 2022-01-17 14:00:50,795:INFO:Visual Rendered Successfully
  1329. 2022-01-17 14:00:50,867:INFO:plot_model() succesfully completed......................................
  1330. 2022-01-17 14:01:11,484:INFO:Initializing plot_model()
  1331. 2022-01-17 14:01:11,485:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1332. criterion='entropy', max_depth=8, max_features=1.0,
  1333. max_leaf_nodes=None, max_samples=None,
  1334. min_impurity_decrease=0.0002, min_impurity_split=None,
  1335. min_samples_leaf=5, min_samples_split=7,
  1336. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1337. oob_score=False, random_state=2921, verbose=0,
  1338. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  1339. 2022-01-17 14:01:11,485:INFO:Checking exceptions
  1340. 2022-01-17 14:01:11,493:INFO:Preparing display monitor
  1341. 2022-01-17 14:01:11,498:INFO:Preloading libraries
  1342. 2022-01-17 14:01:11,504:INFO:Copying training dataset
  1343. 2022-01-17 14:01:11,504:INFO:Copying test dataset
  1344. 2022-01-17 14:01:11,505:INFO:Plot type: pr
  1345. 2022-01-17 14:01:11,519:INFO:Fitting Model
  1346. 2022-01-17 14:01:11,521:INFO:Scoring test/hold-out set
  1347. 2022-01-17 14:01:11,634:INFO:Visual Rendered Successfully
  1348. 2022-01-17 14:01:11,707:INFO:plot_model() succesfully completed......................................
  1349. 2022-01-17 14:01:16,622:INFO:Initializing plot_model()
  1350. 2022-01-17 14:01:16,622:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1351. criterion='entropy', max_depth=8, max_features=1.0,
  1352. max_leaf_nodes=None, max_samples=None,
  1353. min_impurity_decrease=0.0002, min_impurity_split=None,
  1354. min_samples_leaf=5, min_samples_split=7,
  1355. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1356. oob_score=False, random_state=2921, verbose=0,
  1357. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  1358. 2022-01-17 14:01:16,622:INFO:Checking exceptions
  1359. 2022-01-17 14:01:16,630:INFO:Preparing display monitor
  1360. 2022-01-17 14:01:16,635:INFO:Preloading libraries
  1361. 2022-01-17 14:01:16,641:INFO:Copying training dataset
  1362. 2022-01-17 14:01:16,642:INFO:Copying test dataset
  1363. 2022-01-17 14:01:16,642:INFO:Plot type: error
  1364. 2022-01-17 14:01:16,657:INFO:Initializing get_config()
  1365. 2022-01-17 14:01:16,657:INFO:get_config(variable=prep_pipe)
  1366. 2022-01-17 14:01:16,661:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1367. steps=[('dtypes',
  1368. DataTypes_Auto_infer(categorical_features=[],
  1369. display_types=True, features_todrop=[],
  1370. id_columns=[],
  1371. ml_usecase='classification',
  1372. numerical_features=[], target='label',
  1373. time_features=[])),
  1374. ('imputer',
  1375. Simple_Imputer(categorical_strategy='not_available',
  1376. fill_value_categorical=None,
  1377. fill_value_numerical=None,
  1378. numeric_strate...
  1379. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1380. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1381. ('cluster_all', 'passthrough'),
  1382. ('dummy', Dummify(target='label')),
  1383. ('fix_perfect', Remove_100(target='label')),
  1384. ('clean_names', Clean_Colum_Names()),
  1385. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1386. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1387. verbose=False)
  1388. 2022-01-17 14:01:16,661:INFO:get_config() succesfully completed......................................
  1389. 2022-01-17 14:01:16,662:INFO:Fitting Model
  1390. 2022-01-17 14:01:16,663:INFO:Scoring test/hold-out set
  1391. 2022-01-17 14:01:16,780:INFO:Visual Rendered Successfully
  1392. 2022-01-17 14:01:16,854:INFO:plot_model() succesfully completed......................................
  1393. 2022-01-17 14:01:29,238:INFO:Initializing plot_model()
  1394. 2022-01-17 14:01:29,239:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1395. criterion='entropy', max_depth=8, max_features=1.0,
  1396. max_leaf_nodes=None, max_samples=None,
  1397. min_impurity_decrease=0.0002, min_impurity_split=None,
  1398. min_samples_leaf=5, min_samples_split=7,
  1399. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1400. oob_score=False, random_state=2921, verbose=0,
  1401. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  1402. 2022-01-17 14:01:29,239:INFO:Checking exceptions
  1403. 2022-01-17 14:01:29,247:INFO:Preparing display monitor
  1404. 2022-01-17 14:01:29,252:INFO:Preloading libraries
  1405. 2022-01-17 14:01:29,256:INFO:Copying training dataset
  1406. 2022-01-17 14:01:29,257:INFO:Copying test dataset
  1407. 2022-01-17 14:01:29,257:INFO:Plot type: class_report
  1408. 2022-01-17 14:01:29,272:INFO:Initializing get_config()
  1409. 2022-01-17 14:01:29,272:INFO:get_config(variable=prep_pipe)
  1410. 2022-01-17 14:01:29,275:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1411. steps=[('dtypes',
  1412. DataTypes_Auto_infer(categorical_features=[],
  1413. display_types=True, features_todrop=[],
  1414. id_columns=[],
  1415. ml_usecase='classification',
  1416. numerical_features=[], target='label',
  1417. time_features=[])),
  1418. ('imputer',
  1419. Simple_Imputer(categorical_strategy='not_available',
  1420. fill_value_categorical=None,
  1421. fill_value_numerical=None,
  1422. numeric_strate...
  1423. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1424. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1425. ('cluster_all', 'passthrough'),
  1426. ('dummy', Dummify(target='label')),
  1427. ('fix_perfect', Remove_100(target='label')),
  1428. ('clean_names', Clean_Colum_Names()),
  1429. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1430. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1431. verbose=False)
  1432. 2022-01-17 14:01:29,275:INFO:get_config() succesfully completed......................................
  1433. 2022-01-17 14:01:29,276:INFO:Fitting Model
  1434. 2022-01-17 14:01:29,277:INFO:Scoring test/hold-out set
  1435. 2022-01-17 14:01:29,423:INFO:Visual Rendered Successfully
  1436. 2022-01-17 14:01:29,503:INFO:plot_model() succesfully completed......................................
  1437. 2022-01-17 14:01:54,753:INFO:Initializing plot_model()
  1438. 2022-01-17 14:01:54,753:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1439. criterion='entropy', max_depth=8, max_features=1.0,
  1440. max_leaf_nodes=None, max_samples=None,
  1441. min_impurity_decrease=0.0002, min_impurity_split=None,
  1442. min_samples_leaf=5, min_samples_split=7,
  1443. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1444. oob_score=False, random_state=2921, verbose=0,
  1445. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
  1446. 2022-01-17 14:01:54,754:INFO:Checking exceptions
  1447. 2022-01-17 14:01:54,761:INFO:Preparing display monitor
  1448. 2022-01-17 14:01:54,766:INFO:Preloading libraries
  1449. 2022-01-17 14:01:54,772:INFO:Copying training dataset
  1450. 2022-01-17 14:01:54,772:INFO:Copying test dataset
  1451. 2022-01-17 14:01:54,773:INFO:Plot type: rfe
  1452. 2022-01-17 14:01:54,791:INFO:Fitting Model
  1453. 2022-01-17 14:04:24,292:INFO:PyCaret Supervised Module
  1454. 2022-01-17 14:04:24,293:INFO:ML Usecase: classification
  1455. 2022-01-17 14:04:24,293:INFO:version 2.3.6
  1456. 2022-01-17 14:04:24,293:INFO:Initializing setup()
  1457. 2022-01-17 14:04:24,293:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  1458. 2022-01-17 14:04:24,294:INFO:Checking environment
  1459. 2022-01-17 14:04:24,294:INFO:python_version: 3.8.8
  1460. 2022-01-17 14:04:24,294:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  1461. 2022-01-17 14:04:24,294:INFO:machine: x86_64
  1462. 2022-01-17 14:04:24,294:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  1463. 2022-01-17 14:04:24,295:INFO:Memory: svmem(total=33619935232, available=30072115200, percent=10.6, used=2706968576, free=27690291200, active=918413312, inactive=4432015360, buffers=585072640, cached=2637602816, shared=383528960, slab=288608256)
  1464. 2022-01-17 14:04:24,295:INFO:Physical Core: 16
  1465. 2022-01-17 14:04:24,296:INFO:Logical Core: 32
  1466. 2022-01-17 14:04:24,296:INFO:Checking libraries
  1467. 2022-01-17 14:04:24,296:INFO:pd==1.2.4
  1468. 2022-01-17 14:04:24,296:INFO:numpy==1.19.5
  1469. 2022-01-17 14:04:24,296:INFO:sklearn==0.23.2
  1470. 2022-01-17 14:04:24,296:INFO:lightgbm==3.3.2
  1471. 2022-01-17 14:04:24,297:WARNING:catboost not found
  1472. 2022-01-17 14:04:24,297:WARNING:xgboost not found
  1473. 2022-01-17 14:04:24,422:INFO:mlflow==1.22.0
  1474. 2022-01-17 14:04:24,422:INFO:Checking Exceptions
  1475. 2022-01-17 14:04:24,423:INFO:Declaring global variables
  1476. 2022-01-17 14:04:24,423:INFO:USI: 1037
  1477. 2022-01-17 14:04:24,423:INFO:pycaret_globals: {'logging_param', '_all_models_internal', 'fold_groups_param_full', 'n_jobs_param', 'transform_target_method_param', 'seed', 'fix_imbalance_method_param', 'y', 'data_before_preprocess', 'fold_param', 'imputation_regressor', 'transform_target_param', 'create_model_container', 'USI', '_ml_usecase', 'exp_name_log', '_internal_pipeline', 'iterative_imputation_iters_param', 'X', 'experiment__', 'fix_imbalance_param', '_available_plots', 'gpu_param', 'stratify_param', 'pycaret_globals', 'master_model_container', 'imputation_classifier', 'X_train', '_all_metrics', '_all_models', 'display_container', 'y_train', 'target_param', 'fold_groups_param', 'html_param', 'prep_pipe', '_gpu_n_jobs_param', 'fold_shuffle_param', 'fold_generator', 'X_test', 'y_test', 'log_plots_param'}
  1478. 2022-01-17 14:04:24,423:INFO:Preparing display monitor
  1479. 2022-01-17 14:04:24,423:INFO:Preparing display monitor
  1480. 2022-01-17 14:04:24,433:INFO:Importing libraries
  1481. 2022-01-17 14:04:24,433:INFO:Copying data for preprocessing
  1482. 2022-01-17 14:04:24,438:INFO:Declaring preprocessing parameters
  1483. 2022-01-17 14:04:24,439:WARNING:cuML not found
  1484. 2022-01-17 14:04:24,439:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  1485. 2022-01-17 14:04:24,441:INFO:Creating preprocessing pipeline
  1486. 2022-01-17 14:04:24,457:INFO:Preprocessing pipeline created successfully
  1487. 2022-01-17 14:04:24,457:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  1488. 2022-01-17 14:04:24,457:INFO:Creating global containers
  1489. 2022-01-17 14:04:24,458:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  1490. 2022-01-17 14:04:40,146:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  1491. 2022-01-17 14:04:40,173:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  1492. 2022-01-17 14:04:40,175:WARNING:Couldn't import cuml.MBSGDClassifier
  1493. 2022-01-17 14:04:40,176:WARNING:Couldn't import cuml.svm.SVC
  1494. 2022-01-17 14:04:40,191:WARNING:Couldn't import cuml.linear_model
  1495. 2022-01-17 14:04:40,194:WARNING:Couldn't import cuml.ensemble
  1496. 2022-01-17 14:04:40,197:WARNING:Couldn't import xgboost.XGBClassifier
  1497. 2022-01-17 14:04:40,202:WARNING:Couldn't import catboost.CatBoostClassifier
  1498. 2022-01-17 14:04:40,203:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  1499. 2022-01-17 14:04:40,233:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  1500. 2022-01-17 14:04:40,233:WARNING:Couldn't import cuml.MBSGDClassifier
  1501. 2022-01-17 14:04:40,234:WARNING:Couldn't import cuml.svm.SVC
  1502. 2022-01-17 14:04:40,249:WARNING:Couldn't import cuml.linear_model
  1503. 2022-01-17 14:04:40,252:WARNING:Couldn't import cuml.ensemble
  1504. 2022-01-17 14:04:40,253:WARNING:Couldn't import xgboost.XGBClassifier
  1505. 2022-01-17 14:04:40,258:WARNING:Couldn't import catboost.CatBoostClassifier
  1506. 2022-01-17 14:04:40,258:INFO:Creating grid variables
  1507. 2022-01-17 14:04:40,269:INFO:create_model_container: 0
  1508. 2022-01-17 14:04:40,269:INFO:master_model_container: 0
  1509. 2022-01-17 14:04:40,270:INFO:display_container: 1
  1510. 2022-01-17 14:04:40,272:INFO:Pipeline(memory=None,
  1511. steps=[('dtypes',
  1512. DataTypes_Auto_infer(categorical_features=[],
  1513. display_types=True, features_todrop=[],
  1514. id_columns=[],
  1515. ml_usecase='classification',
  1516. numerical_features=[], target='label',
  1517. time_features=[])),
  1518. ('imputer',
  1519. Simple_Imputer(categorical_strategy='not_available',
  1520. fill_value_categorical=None,
  1521. fill_value_numerical=None,
  1522. numeric_strate...
  1523. target='label')),
  1524. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  1525. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  1526. ('dummy', Dummify(target='label')),
  1527. ('fix_perfect', Remove_100(target='label')),
  1528. ('clean_names', Clean_Colum_Names()),
  1529. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1530. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1531. verbose=False)
  1532. 2022-01-17 14:04:40,273:INFO:setup() succesfully completed......................................
  1533. 2022-01-17 14:04:47,159:INFO:Initializing compare_models()
  1534. 2022-01-17 14:04:47,160:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  1535. 2022-01-17 14:04:47,160:INFO:Checking exceptions
  1536. 2022-01-17 14:04:47,161:INFO:Preparing display monitor
  1537. 2022-01-17 14:04:47,161:INFO:Preparing display monitor
  1538. 2022-01-17 14:04:47,177:INFO:Initializing Logistic Regression
  1539. 2022-01-17 14:04:47,177:INFO:Total runtime is 4.955132802327474e-06 minutes
  1540. 2022-01-17 14:04:47,183:INFO:SubProcess create_model() called ==================================
  1541. 2022-01-17 14:04:47,183:INFO:Initializing create_model()
  1542. 2022-01-17 14:04:47,183:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1543. 2022-01-17 14:04:47,183:INFO:Checking exceptions
  1544. 2022-01-17 14:04:47,183:INFO:Importing libraries
  1545. 2022-01-17 14:04:47,184:INFO:Copying training dataset
  1546. 2022-01-17 14:04:47,184:INFO:Defining folds
  1547. 2022-01-17 14:04:47,185:INFO:Declaring metric variables
  1548. 2022-01-17 14:04:47,190:INFO:Importing untrained model
  1549. 2022-01-17 14:04:47,195:INFO:Logistic Regression Imported succesfully
  1550. 2022-01-17 14:04:47,204:INFO:Starting cross validation
  1551. 2022-01-17 14:04:47,205:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1552. 2022-01-17 14:04:49,125:INFO:Calculating mean and std
  1553. 2022-01-17 14:04:49,126:INFO:Creating metrics dataframe
  1554. 2022-01-17 14:04:49,132:INFO:Uploading results into container
  1555. 2022-01-17 14:04:49,133:INFO:Uploading model into container now
  1556. 2022-01-17 14:04:49,133:INFO:create_model_container: 1
  1557. 2022-01-17 14:04:49,133:INFO:master_model_container: 1
  1558. 2022-01-17 14:04:49,133:INFO:display_container: 2
  1559. 2022-01-17 14:04:49,134:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  1560. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  1561. multi_class='auto', n_jobs=None, penalty='l2',
  1562. random_state=7446, solver='lbfgs', tol=0.0001, verbose=0,
  1563. warm_start=False)
  1564. 2022-01-17 14:04:49,134:INFO:create_model() succesfully completed......................................
  1565. 2022-01-17 14:04:49,224:INFO:SubProcess create_model() end ==================================
  1566. 2022-01-17 14:04:49,224:INFO:Creating metrics dataframe
  1567. 2022-01-17 14:04:49,235:INFO:Initializing K Neighbors Classifier
  1568. 2022-01-17 14:04:49,235:INFO:Total runtime is 0.03429919481277466 minutes
  1569. 2022-01-17 14:04:49,241:INFO:SubProcess create_model() called ==================================
  1570. 2022-01-17 14:04:49,241:INFO:Initializing create_model()
  1571. 2022-01-17 14:04:49,241:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1572. 2022-01-17 14:04:49,242:INFO:Checking exceptions
  1573. 2022-01-17 14:04:49,242:INFO:Importing libraries
  1574. 2022-01-17 14:04:49,242:INFO:Copying training dataset
  1575. 2022-01-17 14:04:49,243:INFO:Defining folds
  1576. 2022-01-17 14:04:49,243:INFO:Declaring metric variables
  1577. 2022-01-17 14:04:49,249:INFO:Importing untrained model
  1578. 2022-01-17 14:04:49,254:INFO:K Neighbors Classifier Imported succesfully
  1579. 2022-01-17 14:04:49,266:INFO:Starting cross validation
  1580. 2022-01-17 14:04:49,267:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1581. 2022-01-17 14:04:54,831:INFO:Calculating mean and std
  1582. 2022-01-17 14:04:54,832:INFO:Creating metrics dataframe
  1583. 2022-01-17 14:04:54,835:INFO:Uploading results into container
  1584. 2022-01-17 14:04:54,835:INFO:Uploading model into container now
  1585. 2022-01-17 14:04:54,836:INFO:create_model_container: 2
  1586. 2022-01-17 14:04:54,836:INFO:master_model_container: 2
  1587. 2022-01-17 14:04:54,836:INFO:display_container: 2
  1588. 2022-01-17 14:04:54,836:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  1589. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  1590. weights='uniform')
  1591. 2022-01-17 14:04:54,836:INFO:create_model() succesfully completed......................................
  1592. 2022-01-17 14:04:54,908:INFO:SubProcess create_model() end ==================================
  1593. 2022-01-17 14:04:54,908:INFO:Creating metrics dataframe
  1594. 2022-01-17 14:04:54,919:INFO:Initializing Naive Bayes
  1595. 2022-01-17 14:04:54,919:INFO:Total runtime is 0.12903836170832317 minutes
  1596. 2022-01-17 14:04:54,925:INFO:SubProcess create_model() called ==================================
  1597. 2022-01-17 14:04:54,925:INFO:Initializing create_model()
  1598. 2022-01-17 14:04:54,925:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1599. 2022-01-17 14:04:54,925:INFO:Checking exceptions
  1600. 2022-01-17 14:04:54,926:INFO:Importing libraries
  1601. 2022-01-17 14:04:54,926:INFO:Copying training dataset
  1602. 2022-01-17 14:04:54,927:INFO:Defining folds
  1603. 2022-01-17 14:04:54,927:INFO:Declaring metric variables
  1604. 2022-01-17 14:04:54,932:INFO:Importing untrained model
  1605. 2022-01-17 14:04:54,937:INFO:Naive Bayes Imported succesfully
  1606. 2022-01-17 14:04:54,948:INFO:Starting cross validation
  1607. 2022-01-17 14:04:54,949:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1608. 2022-01-17 14:04:55,055:INFO:Calculating mean and std
  1609. 2022-01-17 14:04:55,056:INFO:Creating metrics dataframe
  1610. 2022-01-17 14:04:55,059:INFO:Uploading results into container
  1611. 2022-01-17 14:04:55,059:INFO:Uploading model into container now
  1612. 2022-01-17 14:04:55,059:INFO:create_model_container: 3
  1613. 2022-01-17 14:04:55,059:INFO:master_model_container: 3
  1614. 2022-01-17 14:04:55,060:INFO:display_container: 2
  1615. 2022-01-17 14:04:55,060:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  1616. 2022-01-17 14:04:55,060:INFO:create_model() succesfully completed......................................
  1617. 2022-01-17 14:04:55,126:INFO:SubProcess create_model() end ==================================
  1618. 2022-01-17 14:04:55,126:INFO:Creating metrics dataframe
  1619. 2022-01-17 14:04:55,137:INFO:Initializing Decision Tree Classifier
  1620. 2022-01-17 14:04:55,138:INFO:Total runtime is 0.13267539739608766 minutes
  1621. 2022-01-17 14:04:55,143:INFO:SubProcess create_model() called ==================================
  1622. 2022-01-17 14:04:55,143:INFO:Initializing create_model()
  1623. 2022-01-17 14:04:55,144:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1624. 2022-01-17 14:04:55,144:INFO:Checking exceptions
  1625. 2022-01-17 14:04:55,144:INFO:Importing libraries
  1626. 2022-01-17 14:04:55,144:INFO:Copying training dataset
  1627. 2022-01-17 14:04:55,145:INFO:Defining folds
  1628. 2022-01-17 14:04:55,145:INFO:Declaring metric variables
  1629. 2022-01-17 14:04:55,150:INFO:Importing untrained model
  1630. 2022-01-17 14:04:55,154:INFO:Decision Tree Classifier Imported succesfully
  1631. 2022-01-17 14:04:55,165:INFO:Starting cross validation
  1632. 2022-01-17 14:04:55,165:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1633. 2022-01-17 14:04:55,407:INFO:Calculating mean and std
  1634. 2022-01-17 14:04:55,408:INFO:Creating metrics dataframe
  1635. 2022-01-17 14:04:55,411:INFO:Uploading results into container
  1636. 2022-01-17 14:04:55,411:INFO:Uploading model into container now
  1637. 2022-01-17 14:04:55,412:INFO:create_model_container: 4
  1638. 2022-01-17 14:04:55,412:INFO:master_model_container: 4
  1639. 2022-01-17 14:04:55,412:INFO:display_container: 2
  1640. 2022-01-17 14:04:55,412:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  1641. max_depth=None, max_features=None, max_leaf_nodes=None,
  1642. min_impurity_decrease=0.0, min_impurity_split=None,
  1643. min_samples_leaf=1, min_samples_split=2,
  1644. min_weight_fraction_leaf=0.0, presort='deprecated',
  1645. random_state=7446, splitter='best')
  1646. 2022-01-17 14:04:55,412:INFO:create_model() succesfully completed......................................
  1647. 2022-01-17 14:04:55,474:INFO:SubProcess create_model() end ==================================
  1648. 2022-01-17 14:04:55,475:INFO:Creating metrics dataframe
  1649. 2022-01-17 14:04:55,486:INFO:Initializing SVM - Linear Kernel
  1650. 2022-01-17 14:04:55,486:INFO:Total runtime is 0.13847911755243938 minutes
  1651. 2022-01-17 14:04:55,491:INFO:SubProcess create_model() called ==================================
  1652. 2022-01-17 14:04:55,491:INFO:Initializing create_model()
  1653. 2022-01-17 14:04:55,491:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1654. 2022-01-17 14:04:55,492:INFO:Checking exceptions
  1655. 2022-01-17 14:04:55,492:INFO:Importing libraries
  1656. 2022-01-17 14:04:55,492:INFO:Copying training dataset
  1657. 2022-01-17 14:04:55,493:INFO:Defining folds
  1658. 2022-01-17 14:04:55,493:INFO:Declaring metric variables
  1659. 2022-01-17 14:04:55,498:INFO:Importing untrained model
  1660. 2022-01-17 14:04:55,502:INFO:SVM - Linear Kernel Imported succesfully
  1661. 2022-01-17 14:04:55,512:INFO:Starting cross validation
  1662. 2022-01-17 14:04:55,513:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1663. 2022-01-17 14:04:56,098:INFO:Calculating mean and std
  1664. 2022-01-17 14:04:56,099:INFO:Creating metrics dataframe
  1665. 2022-01-17 14:04:56,104:INFO:Uploading results into container
  1666. 2022-01-17 14:04:56,105:INFO:Uploading model into container now
  1667. 2022-01-17 14:04:56,105:INFO:create_model_container: 5
  1668. 2022-01-17 14:04:56,105:INFO:master_model_container: 5
  1669. 2022-01-17 14:04:56,105:INFO:display_container: 2
  1670. 2022-01-17 14:04:56,106:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  1671. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  1672. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  1673. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  1674. power_t=0.5, random_state=7446, shuffle=True, tol=0.001,
  1675. validation_fraction=0.1, verbose=0, warm_start=False)
  1676. 2022-01-17 14:04:56,106:INFO:create_model() succesfully completed......................................
  1677. 2022-01-17 14:04:56,191:INFO:SubProcess create_model() end ==================================
  1678. 2022-01-17 14:04:56,191:INFO:Creating metrics dataframe
  1679. 2022-01-17 14:04:56,202:INFO:Initializing Ridge Classifier
  1680. 2022-01-17 14:04:56,202:INFO:Total runtime is 0.15042424599329632 minutes
  1681. 2022-01-17 14:04:56,208:INFO:SubProcess create_model() called ==================================
  1682. 2022-01-17 14:04:56,208:INFO:Initializing create_model()
  1683. 2022-01-17 14:04:56,208:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1684. 2022-01-17 14:04:56,208:INFO:Checking exceptions
  1685. 2022-01-17 14:04:56,209:INFO:Importing libraries
  1686. 2022-01-17 14:04:56,209:INFO:Copying training dataset
  1687. 2022-01-17 14:04:56,209:INFO:Defining folds
  1688. 2022-01-17 14:04:56,210:INFO:Declaring metric variables
  1689. 2022-01-17 14:04:56,214:INFO:Importing untrained model
  1690. 2022-01-17 14:04:56,219:INFO:Ridge Classifier Imported succesfully
  1691. 2022-01-17 14:04:56,230:INFO:Starting cross validation
  1692. 2022-01-17 14:04:56,231:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1693. 2022-01-17 14:04:56,600:INFO:Calculating mean and std
  1694. 2022-01-17 14:04:56,607:INFO:Creating metrics dataframe
  1695. 2022-01-17 14:04:56,612:INFO:Uploading results into container
  1696. 2022-01-17 14:04:56,617:INFO:Uploading model into container now
  1697. 2022-01-17 14:04:56,618:INFO:create_model_container: 6
  1698. 2022-01-17 14:04:56,618:INFO:master_model_container: 6
  1699. 2022-01-17 14:04:56,618:INFO:display_container: 2
  1700. 2022-01-17 14:04:56,618:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  1701. max_iter=None, normalize=False, random_state=7446,
  1702. solver='auto', tol=0.001)
  1703. 2022-01-17 14:04:56,619:INFO:create_model() succesfully completed......................................
  1704. 2022-01-17 14:04:56,710:INFO:SubProcess create_model() end ==================================
  1705. 2022-01-17 14:04:56,710:INFO:Creating metrics dataframe
  1706. 2022-01-17 14:04:56,722:INFO:Initializing Random Forest Classifier
  1707. 2022-01-17 14:04:56,722:INFO:Total runtime is 0.1590816895167033 minutes
  1708. 2022-01-17 14:04:56,727:INFO:SubProcess create_model() called ==================================
  1709. 2022-01-17 14:04:56,727:INFO:Initializing create_model()
  1710. 2022-01-17 14:04:56,728:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1711. 2022-01-17 14:04:56,728:INFO:Checking exceptions
  1712. 2022-01-17 14:04:56,728:INFO:Importing libraries
  1713. 2022-01-17 14:04:56,728:INFO:Copying training dataset
  1714. 2022-01-17 14:04:56,729:INFO:Defining folds
  1715. 2022-01-17 14:04:56,729:INFO:Declaring metric variables
  1716. 2022-01-17 14:04:56,734:INFO:Importing untrained model
  1717. 2022-01-17 14:04:56,738:INFO:Random Forest Classifier Imported succesfully
  1718. 2022-01-17 14:04:56,749:INFO:Starting cross validation
  1719. 2022-01-17 14:04:56,749:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1720. 2022-01-17 14:05:02,377:INFO:Calculating mean and std
  1721. 2022-01-17 14:05:02,378:INFO:Creating metrics dataframe
  1722. 2022-01-17 14:05:02,381:INFO:Uploading results into container
  1723. 2022-01-17 14:05:02,381:INFO:Uploading model into container now
  1724. 2022-01-17 14:05:02,381:INFO:create_model_container: 7
  1725. 2022-01-17 14:05:02,381:INFO:master_model_container: 7
  1726. 2022-01-17 14:05:02,381:INFO:display_container: 2
  1727. 2022-01-17 14:05:02,382:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1728. criterion='gini', max_depth=None, max_features='auto',
  1729. max_leaf_nodes=None, max_samples=None,
  1730. min_impurity_decrease=0.0, min_impurity_split=None,
  1731. min_samples_leaf=1, min_samples_split=2,
  1732. min_weight_fraction_leaf=0.0, n_estimators=100,
  1733. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  1734. warm_start=False)
  1735. 2022-01-17 14:05:02,382:INFO:create_model() succesfully completed......................................
  1736. 2022-01-17 14:05:02,454:INFO:SubProcess create_model() end ==================================
  1737. 2022-01-17 14:05:02,455:INFO:Creating metrics dataframe
  1738. 2022-01-17 14:05:02,467:INFO:Initializing Quadratic Discriminant Analysis
  1739. 2022-01-17 14:05:02,467:INFO:Total runtime is 0.2548285245895386 minutes
  1740. 2022-01-17 14:05:02,472:INFO:SubProcess create_model() called ==================================
  1741. 2022-01-17 14:05:02,472:INFO:Initializing create_model()
  1742. 2022-01-17 14:05:02,472:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1743. 2022-01-17 14:05:02,473:INFO:Checking exceptions
  1744. 2022-01-17 14:05:02,473:INFO:Importing libraries
  1745. 2022-01-17 14:05:02,473:INFO:Copying training dataset
  1746. 2022-01-17 14:05:02,474:INFO:Defining folds
  1747. 2022-01-17 14:05:02,474:INFO:Declaring metric variables
  1748. 2022-01-17 14:05:02,478:INFO:Importing untrained model
  1749. 2022-01-17 14:05:02,483:INFO:Quadratic Discriminant Analysis Imported succesfully
  1750. 2022-01-17 14:05:02,493:INFO:Starting cross validation
  1751. 2022-01-17 14:05:02,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1752. 2022-01-17 14:05:02,821:INFO:Calculating mean and std
  1753. 2022-01-17 14:05:02,822:INFO:Creating metrics dataframe
  1754. 2022-01-17 14:05:02,828:INFO:Uploading results into container
  1755. 2022-01-17 14:05:02,829:INFO:Uploading model into container now
  1756. 2022-01-17 14:05:02,829:INFO:create_model_container: 8
  1757. 2022-01-17 14:05:02,830:INFO:master_model_container: 8
  1758. 2022-01-17 14:05:02,830:INFO:display_container: 2
  1759. 2022-01-17 14:05:02,830:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  1760. store_covariance=False, tol=0.0001)
  1761. 2022-01-17 14:05:02,830:INFO:create_model() succesfully completed......................................
  1762. 2022-01-17 14:05:02,910:INFO:SubProcess create_model() end ==================================
  1763. 2022-01-17 14:05:02,910:INFO:Creating metrics dataframe
  1764. 2022-01-17 14:05:02,922:INFO:Initializing Ada Boost Classifier
  1765. 2022-01-17 14:05:02,922:INFO:Total runtime is 0.2624213774998983 minutes
  1766. 2022-01-17 14:05:02,928:INFO:SubProcess create_model() called ==================================
  1767. 2022-01-17 14:05:02,928:INFO:Initializing create_model()
  1768. 2022-01-17 14:05:02,928:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1769. 2022-01-17 14:05:02,928:INFO:Checking exceptions
  1770. 2022-01-17 14:05:02,929:INFO:Importing libraries
  1771. 2022-01-17 14:05:02,929:INFO:Copying training dataset
  1772. 2022-01-17 14:05:02,930:INFO:Defining folds
  1773. 2022-01-17 14:05:02,930:INFO:Declaring metric variables
  1774. 2022-01-17 14:05:02,935:INFO:Importing untrained model
  1775. 2022-01-17 14:05:02,939:INFO:Ada Boost Classifier Imported succesfully
  1776. 2022-01-17 14:05:02,950:INFO:Starting cross validation
  1777. 2022-01-17 14:05:02,950:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1778. 2022-01-17 14:05:05,184:INFO:Calculating mean and std
  1779. 2022-01-17 14:05:05,185:INFO:Creating metrics dataframe
  1780. 2022-01-17 14:05:05,187:INFO:Uploading results into container
  1781. 2022-01-17 14:05:05,187:INFO:Uploading model into container now
  1782. 2022-01-17 14:05:05,187:INFO:create_model_container: 9
  1783. 2022-01-17 14:05:05,187:INFO:master_model_container: 9
  1784. 2022-01-17 14:05:05,188:INFO:display_container: 2
  1785. 2022-01-17 14:05:05,188:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  1786. n_estimators=50, random_state=7446)
  1787. 2022-01-17 14:05:05,188:INFO:create_model() succesfully completed......................................
  1788. 2022-01-17 14:05:05,253:INFO:SubProcess create_model() end ==================================
  1789. 2022-01-17 14:05:05,253:INFO:Creating metrics dataframe
  1790. 2022-01-17 14:05:05,265:INFO:Initializing Gradient Boosting Classifier
  1791. 2022-01-17 14:05:05,265:INFO:Total runtime is 0.3014698584874471 minutes
  1792. 2022-01-17 14:05:05,270:INFO:SubProcess create_model() called ==================================
  1793. 2022-01-17 14:05:05,271:INFO:Initializing create_model()
  1794. 2022-01-17 14:05:05,271:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1795. 2022-01-17 14:05:05,271:INFO:Checking exceptions
  1796. 2022-01-17 14:05:05,271:INFO:Importing libraries
  1797. 2022-01-17 14:05:05,271:INFO:Copying training dataset
  1798. 2022-01-17 14:05:05,272:INFO:Defining folds
  1799. 2022-01-17 14:05:05,272:INFO:Declaring metric variables
  1800. 2022-01-17 14:05:05,277:INFO:Importing untrained model
  1801. 2022-01-17 14:05:05,281:INFO:Gradient Boosting Classifier Imported succesfully
  1802. 2022-01-17 14:05:05,291:INFO:Starting cross validation
  1803. 2022-01-17 14:05:05,292:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1804. 2022-01-17 14:05:11,522:INFO:Calculating mean and std
  1805. 2022-01-17 14:05:11,523:INFO:Creating metrics dataframe
  1806. 2022-01-17 14:05:11,525:INFO:Uploading results into container
  1807. 2022-01-17 14:05:11,526:INFO:Uploading model into container now
  1808. 2022-01-17 14:05:11,526:INFO:create_model_container: 10
  1809. 2022-01-17 14:05:11,526:INFO:master_model_container: 10
  1810. 2022-01-17 14:05:11,526:INFO:display_container: 2
  1811. 2022-01-17 14:05:11,527:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  1812. learning_rate=0.1, loss='deviance', max_depth=3,
  1813. max_features=None, max_leaf_nodes=None,
  1814. min_impurity_decrease=0.0, min_impurity_split=None,
  1815. min_samples_leaf=1, min_samples_split=2,
  1816. min_weight_fraction_leaf=0.0, n_estimators=100,
  1817. n_iter_no_change=None, presort='deprecated',
  1818. random_state=7446, subsample=1.0, tol=0.0001,
  1819. validation_fraction=0.1, verbose=0,
  1820. warm_start=False)
  1821. 2022-01-17 14:05:11,527:INFO:create_model() succesfully completed......................................
  1822. 2022-01-17 14:05:11,591:INFO:SubProcess create_model() end ==================================
  1823. 2022-01-17 14:05:11,591:INFO:Creating metrics dataframe
  1824. 2022-01-17 14:05:11,604:INFO:Initializing Linear Discriminant Analysis
  1825. 2022-01-17 14:05:11,604:INFO:Total runtime is 0.40711584091186526 minutes
  1826. 2022-01-17 14:05:11,609:INFO:SubProcess create_model() called ==================================
  1827. 2022-01-17 14:05:11,610:INFO:Initializing create_model()
  1828. 2022-01-17 14:05:11,610:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1829. 2022-01-17 14:05:11,610:INFO:Checking exceptions
  1830. 2022-01-17 14:05:11,610:INFO:Importing libraries
  1831. 2022-01-17 14:05:11,611:INFO:Copying training dataset
  1832. 2022-01-17 14:05:11,612:INFO:Defining folds
  1833. 2022-01-17 14:05:11,612:INFO:Declaring metric variables
  1834. 2022-01-17 14:05:11,617:INFO:Importing untrained model
  1835. 2022-01-17 14:05:11,621:INFO:Linear Discriminant Analysis Imported succesfully
  1836. 2022-01-17 14:05:11,632:INFO:Starting cross validation
  1837. 2022-01-17 14:05:11,632:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1838. 2022-01-17 14:05:12,677:INFO:Calculating mean and std
  1839. 2022-01-17 14:05:12,685:INFO:Creating metrics dataframe
  1840. 2022-01-17 14:05:12,692:INFO:Uploading results into container
  1841. 2022-01-17 14:05:12,694:INFO:Uploading model into container now
  1842. 2022-01-17 14:05:12,696:INFO:create_model_container: 11
  1843. 2022-01-17 14:05:12,696:INFO:master_model_container: 11
  1844. 2022-01-17 14:05:12,696:INFO:display_container: 2
  1845. 2022-01-17 14:05:12,697:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  1846. solver='svd', store_covariance=False, tol=0.0001)
  1847. 2022-01-17 14:05:12,697:INFO:create_model() succesfully completed......................................
  1848. 2022-01-17 14:05:12,787:INFO:SubProcess create_model() end ==================================
  1849. 2022-01-17 14:05:12,788:INFO:Creating metrics dataframe
  1850. 2022-01-17 14:05:12,801:INFO:Initializing Extra Trees Classifier
  1851. 2022-01-17 14:05:12,801:INFO:Total runtime is 0.42706976731618246 minutes
  1852. 2022-01-17 14:05:12,807:INFO:SubProcess create_model() called ==================================
  1853. 2022-01-17 14:05:12,807:INFO:Initializing create_model()
  1854. 2022-01-17 14:05:12,807:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1855. 2022-01-17 14:05:12,807:INFO:Checking exceptions
  1856. 2022-01-17 14:05:12,807:INFO:Importing libraries
  1857. 2022-01-17 14:05:12,808:INFO:Copying training dataset
  1858. 2022-01-17 14:05:12,808:INFO:Defining folds
  1859. 2022-01-17 14:05:12,808:INFO:Declaring metric variables
  1860. 2022-01-17 14:05:12,813:INFO:Importing untrained model
  1861. 2022-01-17 14:05:12,818:INFO:Extra Trees Classifier Imported succesfully
  1862. 2022-01-17 14:05:12,827:INFO:Starting cross validation
  1863. 2022-01-17 14:05:12,828:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1864. 2022-01-17 14:05:18,501:INFO:Calculating mean and std
  1865. 2022-01-17 14:05:18,501:INFO:Creating metrics dataframe
  1866. 2022-01-17 14:05:18,504:INFO:Uploading results into container
  1867. 2022-01-17 14:05:18,504:INFO:Uploading model into container now
  1868. 2022-01-17 14:05:18,504:INFO:create_model_container: 12
  1869. 2022-01-17 14:05:18,505:INFO:master_model_container: 12
  1870. 2022-01-17 14:05:18,505:INFO:display_container: 2
  1871. 2022-01-17 14:05:18,505:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  1872. criterion='gini', max_depth=None, max_features='auto',
  1873. max_leaf_nodes=None, max_samples=None,
  1874. min_impurity_decrease=0.0, min_impurity_split=None,
  1875. min_samples_leaf=1, min_samples_split=2,
  1876. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  1877. oob_score=False, random_state=7446, verbose=0,
  1878. warm_start=False)
  1879. 2022-01-17 14:05:18,505:INFO:create_model() succesfully completed......................................
  1880. 2022-01-17 14:05:18,575:INFO:SubProcess create_model() end ==================================
  1881. 2022-01-17 14:05:18,575:INFO:Creating metrics dataframe
  1882. 2022-01-17 14:05:18,588:INFO:Initializing Light Gradient Boosting Machine
  1883. 2022-01-17 14:05:18,589:INFO:Total runtime is 0.5235265612602233 minutes
  1884. 2022-01-17 14:05:18,594:INFO:SubProcess create_model() called ==================================
  1885. 2022-01-17 14:05:18,594:INFO:Initializing create_model()
  1886. 2022-01-17 14:05:18,595:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1887. 2022-01-17 14:05:18,595:INFO:Checking exceptions
  1888. 2022-01-17 14:05:18,595:INFO:Importing libraries
  1889. 2022-01-17 14:05:18,595:INFO:Copying training dataset
  1890. 2022-01-17 14:05:18,596:INFO:Defining folds
  1891. 2022-01-17 14:05:18,596:INFO:Declaring metric variables
  1892. 2022-01-17 14:05:18,601:INFO:Importing untrained model
  1893. 2022-01-17 14:05:18,605:INFO:Light Gradient Boosting Machine Imported succesfully
  1894. 2022-01-17 14:05:18,615:INFO:Starting cross validation
  1895. 2022-01-17 14:05:18,616:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1896. 2022-01-17 14:05:20,236:INFO:Calculating mean and std
  1897. 2022-01-17 14:05:20,237:INFO:Creating metrics dataframe
  1898. 2022-01-17 14:05:20,239:INFO:Uploading results into container
  1899. 2022-01-17 14:05:20,240:INFO:Uploading model into container now
  1900. 2022-01-17 14:05:20,240:INFO:create_model_container: 13
  1901. 2022-01-17 14:05:20,240:INFO:master_model_container: 13
  1902. 2022-01-17 14:05:20,240:INFO:display_container: 2
  1903. 2022-01-17 14:05:20,241:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  1904. importance_type='split', learning_rate=0.1, max_depth=-1,
  1905. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  1906. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  1907. random_state=7446, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  1908. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  1909. 2022-01-17 14:05:20,241:INFO:create_model() succesfully completed......................................
  1910. 2022-01-17 14:05:20,307:INFO:SubProcess create_model() end ==================================
  1911. 2022-01-17 14:05:20,307:INFO:Creating metrics dataframe
  1912. 2022-01-17 14:05:20,320:INFO:Initializing Dummy Classifier
  1913. 2022-01-17 14:05:20,321:INFO:Total runtime is 0.5523936629295348 minutes
  1914. 2022-01-17 14:05:20,326:INFO:SubProcess create_model() called ==================================
  1915. 2022-01-17 14:05:20,327:INFO:Initializing create_model()
  1916. 2022-01-17 14:05:20,327:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1917. 2022-01-17 14:05:20,327:INFO:Checking exceptions
  1918. 2022-01-17 14:05:20,327:INFO:Importing libraries
  1919. 2022-01-17 14:05:20,327:INFO:Copying training dataset
  1920. 2022-01-17 14:05:20,328:INFO:Defining folds
  1921. 2022-01-17 14:05:20,328:INFO:Declaring metric variables
  1922. 2022-01-17 14:05:20,333:INFO:Importing untrained model
  1923. 2022-01-17 14:05:20,338:INFO:Dummy Classifier Imported succesfully
  1924. 2022-01-17 14:05:20,348:INFO:Starting cross validation
  1925. 2022-01-17 14:05:20,348:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1926. 2022-01-17 14:05:20,410:INFO:Calculating mean and std
  1927. 2022-01-17 14:05:20,411:INFO:Creating metrics dataframe
  1928. 2022-01-17 14:05:20,414:INFO:Uploading results into container
  1929. 2022-01-17 14:05:20,414:INFO:Uploading model into container now
  1930. 2022-01-17 14:05:20,414:INFO:create_model_container: 14
  1931. 2022-01-17 14:05:20,414:INFO:master_model_container: 14
  1932. 2022-01-17 14:05:20,415:INFO:display_container: 2
  1933. 2022-01-17 14:05:20,415:INFO:DummyClassifier(constant=None, random_state=7446, strategy='prior')
  1934. 2022-01-17 14:05:20,415:INFO:create_model() succesfully completed......................................
  1935. 2022-01-17 14:05:20,480:INFO:SubProcess create_model() end ==================================
  1936. 2022-01-17 14:05:20,480:INFO:Creating metrics dataframe
  1937. 2022-01-17 14:05:20,506:INFO:Initializing create_model()
  1938. 2022-01-17 14:05:20,507:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1939. criterion='gini', max_depth=None, max_features='auto',
  1940. max_leaf_nodes=None, max_samples=None,
  1941. min_impurity_decrease=0.0, min_impurity_split=None,
  1942. min_samples_leaf=1, min_samples_split=2,
  1943. min_weight_fraction_leaf=0.0, n_estimators=100,
  1944. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  1945. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  1946. 2022-01-17 14:05:20,507:INFO:Checking exceptions
  1947. 2022-01-17 14:05:20,507:INFO:Importing libraries
  1948. 2022-01-17 14:05:20,507:INFO:Copying training dataset
  1949. 2022-01-17 14:05:20,508:INFO:Defining folds
  1950. 2022-01-17 14:05:20,508:INFO:Declaring metric variables
  1951. 2022-01-17 14:05:20,508:INFO:Importing untrained model
  1952. 2022-01-17 14:05:20,508:INFO:Declaring custom model
  1953. 2022-01-17 14:05:20,509:INFO:Random Forest Classifier Imported succesfully
  1954. 2022-01-17 14:05:20,509:INFO:Cross validation set to False
  1955. 2022-01-17 14:05:20,509:INFO:Fitting Model
  1956. 2022-01-17 14:05:20,787:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1957. criterion='gini', max_depth=None, max_features='auto',
  1958. max_leaf_nodes=None, max_samples=None,
  1959. min_impurity_decrease=0.0, min_impurity_split=None,
  1960. min_samples_leaf=1, min_samples_split=2,
  1961. min_weight_fraction_leaf=0.0, n_estimators=100,
  1962. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  1963. warm_start=False)
  1964. 2022-01-17 14:05:20,787:INFO:create_models() succesfully completed......................................
  1965. 2022-01-17 14:05:20,887:INFO:create_model_container: 14
  1966. 2022-01-17 14:05:20,888:INFO:master_model_container: 14
  1967. 2022-01-17 14:05:20,888:INFO:display_container: 2
  1968. 2022-01-17 14:05:20,888:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1969. criterion='gini', max_depth=None, max_features='auto',
  1970. max_leaf_nodes=None, max_samples=None,
  1971. min_impurity_decrease=0.0, min_impurity_split=None,
  1972. min_samples_leaf=1, min_samples_split=2,
  1973. min_weight_fraction_leaf=0.0, n_estimators=100,
  1974. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  1975. warm_start=False)
  1976. 2022-01-17 14:05:20,888:INFO:compare_models() succesfully completed......................................
  1977. 2022-01-17 14:06:31,806:INFO:Initializing create_model()
  1978. 2022-01-17 14:06:31,806:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  1979. 2022-01-17 14:06:31,806:INFO:Checking exceptions
  1980. 2022-01-17 14:06:31,806:INFO:Preparing display monitor
  1981. 2022-01-17 14:06:31,817:INFO:Importing libraries
  1982. 2022-01-17 14:06:31,817:INFO:Copying training dataset
  1983. 2022-01-17 14:06:31,818:INFO:Defining folds
  1984. 2022-01-17 14:06:31,818:INFO:Declaring metric variables
  1985. 2022-01-17 14:06:31,823:INFO:Importing untrained model
  1986. 2022-01-17 14:06:31,828:INFO:Random Forest Classifier Imported succesfully
  1987. 2022-01-17 14:06:31,838:INFO:Starting cross validation
  1988. 2022-01-17 14:06:31,838:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1989. 2022-01-17 14:06:37,443:INFO:Calculating mean and std
  1990. 2022-01-17 14:06:37,444:INFO:Creating metrics dataframe
  1991. 2022-01-17 14:06:37,451:INFO:Finalizing model
  1992. 2022-01-17 14:06:37,727:INFO:Uploading results into container
  1993. 2022-01-17 14:06:37,728:INFO:Uploading model into container now
  1994. 2022-01-17 14:06:37,738:INFO:create_model_container: 15
  1995. 2022-01-17 14:06:37,738:INFO:master_model_container: 15
  1996. 2022-01-17 14:06:37,738:INFO:display_container: 3
  1997. 2022-01-17 14:06:37,739:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1998. criterion='gini', max_depth=None, max_features='auto',
  1999. max_leaf_nodes=None, max_samples=None,
  2000. min_impurity_decrease=0.0, min_impurity_split=None,
  2001. min_samples_leaf=1, min_samples_split=2,
  2002. min_weight_fraction_leaf=0.0, n_estimators=100,
  2003. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2004. warm_start=False)
  2005. 2022-01-17 14:06:37,739:INFO:create_model() succesfully completed......................................
  2006. 2022-01-17 14:07:03,806:INFO:Initializing tune_model()
  2007. 2022-01-17 14:07:03,806:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2008. criterion='gini', max_depth=None, max_features='auto',
  2009. max_leaf_nodes=None, max_samples=None,
  2010. min_impurity_decrease=0.0, min_impurity_split=None,
  2011. min_samples_leaf=1, min_samples_split=2,
  2012. min_weight_fraction_leaf=0.0, n_estimators=100,
  2013. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2014. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  2015. 2022-01-17 14:07:03,806:INFO:Checking exceptions
  2016. 2022-01-17 14:07:03,807:INFO:Preparing display monitor
  2017. 2022-01-17 14:07:03,817:INFO:Copying training dataset
  2018. 2022-01-17 14:07:03,818:INFO:Checking base model
  2019. 2022-01-17 14:07:03,819:INFO:Base model : Random Forest Classifier
  2020. 2022-01-17 14:07:03,823:INFO:Declaring metric variables
  2021. 2022-01-17 14:07:03,828:INFO:Defining Hyperparameters
  2022. 2022-01-17 14:07:03,903:INFO:Tuning with n_jobs=-1
  2023. 2022-01-17 14:07:03,903:INFO:Initializing RandomizedSearchCV
  2024. 2022-01-17 14:07:09,321:INFO:best_params: {'actual_estimator__n_estimators': 60, 'actual_estimator__min_samples_split': 10, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.3, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 9, 'actual_estimator__criterion': 'gini', 'actual_estimator__class_weight': 'balanced', 'actual_estimator__bootstrap': True}
  2025. 2022-01-17 14:07:09,322:INFO:Hyperparameter search completed
  2026. 2022-01-17 14:07:09,322:INFO:SubProcess create_model() called ==================================
  2027. 2022-01-17 14:07:09,323:INFO:Initializing create_model()
  2028. 2022-01-17 14:07:09,323:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2029. criterion='gini', max_depth=None, max_features='auto',
  2030. max_leaf_nodes=None, max_samples=None,
  2031. min_impurity_decrease=0.0, min_impurity_split=None,
  2032. min_samples_leaf=1, min_samples_split=2,
  2033. min_weight_fraction_leaf=0.0, n_estimators=100,
  2034. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2035. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f636935d2e0>, kwargs={'n_estimators': 60, 'min_samples_split': 10, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.3, 'max_features': 1.0, 'max_depth': 9, 'criterion': 'gini', 'class_weight': 'balanced', 'bootstrap': True})
  2036. 2022-01-17 14:07:09,323:INFO:Checking exceptions
  2037. 2022-01-17 14:07:09,323:INFO:Importing libraries
  2038. 2022-01-17 14:07:09,323:INFO:Copying training dataset
  2039. 2022-01-17 14:07:09,324:INFO:Defining folds
  2040. 2022-01-17 14:07:09,324:INFO:Declaring metric variables
  2041. 2022-01-17 14:07:09,330:INFO:Importing untrained model
  2042. 2022-01-17 14:07:09,330:INFO:Declaring custom model
  2043. 2022-01-17 14:07:09,335:INFO:Random Forest Classifier Imported succesfully
  2044. 2022-01-17 14:07:09,344:INFO:Starting cross validation
  2045. 2022-01-17 14:07:09,345:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2046. 2022-01-17 14:07:13,115:INFO:Calculating mean and std
  2047. 2022-01-17 14:07:13,116:INFO:Creating metrics dataframe
  2048. 2022-01-17 14:07:13,123:INFO:Finalizing model
  2049. 2022-01-17 14:07:13,260:INFO:Uploading results into container
  2050. 2022-01-17 14:07:13,261:INFO:Uploading model into container now
  2051. 2022-01-17 14:07:13,261:INFO:create_model_container: 16
  2052. 2022-01-17 14:07:13,261:INFO:master_model_container: 16
  2053. 2022-01-17 14:07:13,261:INFO:display_container: 4
  2054. 2022-01-17 14:07:13,262:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2055. criterion='gini', max_depth=9, max_features=1.0,
  2056. max_leaf_nodes=None, max_samples=None,
  2057. min_impurity_decrease=0.3, min_impurity_split=None,
  2058. min_samples_leaf=4, min_samples_split=10,
  2059. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2060. oob_score=False, random_state=7446, verbose=0,
  2061. warm_start=False)
  2062. 2022-01-17 14:07:13,262:INFO:create_model() succesfully completed......................................
  2063. 2022-01-17 14:07:13,329:INFO:SubProcess create_model() end ==================================
  2064. 2022-01-17 14:07:13,339:INFO:create_model_container: 16
  2065. 2022-01-17 14:07:13,339:INFO:master_model_container: 16
  2066. 2022-01-17 14:07:13,340:INFO:display_container: 4
  2067. 2022-01-17 14:07:13,340:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2068. criterion='gini', max_depth=9, max_features=1.0,
  2069. max_leaf_nodes=None, max_samples=None,
  2070. min_impurity_decrease=0.3, min_impurity_split=None,
  2071. min_samples_leaf=4, min_samples_split=10,
  2072. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2073. oob_score=False, random_state=7446, verbose=0,
  2074. warm_start=False)
  2075. 2022-01-17 14:07:13,340:INFO:tune_model() succesfully completed......................................
  2076. 2022-01-17 14:07:22,106:INFO:Initializing evaluate_model()
  2077. 2022-01-17 14:07:22,106:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2078. criterion='gini', max_depth=9, max_features=1.0,
  2079. max_leaf_nodes=None, max_samples=None,
  2080. min_impurity_decrease=0.3, min_impurity_split=None,
  2081. min_samples_leaf=4, min_samples_split=10,
  2082. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2083. oob_score=False, random_state=7446, verbose=0,
  2084. warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  2085. 2022-01-17 14:07:22,117:INFO:Initializing plot_model()
  2086. 2022-01-17 14:07:22,117:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2087. criterion='gini', max_depth=9, max_features=1.0,
  2088. max_leaf_nodes=None, max_samples=None,
  2089. min_impurity_decrease=0.3, min_impurity_split=None,
  2090. min_samples_leaf=4, min_samples_split=10,
  2091. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2092. oob_score=False, random_state=7446, verbose=0,
  2093. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  2094. 2022-01-17 14:07:22,118:INFO:Checking exceptions
  2095. 2022-01-17 14:07:22,127:INFO:Preparing display monitor
  2096. 2022-01-17 14:07:22,132:INFO:Preloading libraries
  2097. 2022-01-17 14:07:22,139:INFO:Copying training dataset
  2098. 2022-01-17 14:07:22,140:INFO:Copying test dataset
  2099. 2022-01-17 14:07:22,140:INFO:Plot type: parameter
  2100. 2022-01-17 14:07:22,161:INFO:Visual Rendered Successfully
  2101. 2022-01-17 14:07:22,235:INFO:plot_model() succesfully completed......................................
  2102. 2022-01-17 14:07:24,656:INFO:Initializing plot_model()
  2103. 2022-01-17 14:07:24,657:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2104. criterion='gini', max_depth=9, max_features=1.0,
  2105. max_leaf_nodes=None, max_samples=None,
  2106. min_impurity_decrease=0.3, min_impurity_split=None,
  2107. min_samples_leaf=4, min_samples_split=10,
  2108. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2109. oob_score=False, random_state=7446, verbose=0,
  2110. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  2111. 2022-01-17 14:07:24,657:INFO:Checking exceptions
  2112. 2022-01-17 14:07:24,666:INFO:Preparing display monitor
  2113. 2022-01-17 14:07:24,671:INFO:Preloading libraries
  2114. 2022-01-17 14:07:24,679:INFO:Copying training dataset
  2115. 2022-01-17 14:07:24,679:INFO:Copying test dataset
  2116. 2022-01-17 14:07:24,679:INFO:Plot type: auc
  2117. 2022-01-17 14:07:24,696:INFO:Initializing get_config()
  2118. 2022-01-17 14:07:24,696:INFO:get_config(variable=prep_pipe)
  2119. 2022-01-17 14:07:24,699:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  2120. steps=[('dtypes',
  2121. DataTypes_Auto_infer(categorical_features=[],
  2122. display_types=True, features_todrop=[],
  2123. id_columns=[],
  2124. ml_usecase='classification',
  2125. numerical_features=[], target='label',
  2126. time_features=[])),
  2127. ('imputer',
  2128. Simple_Imputer(categorical_strategy='not_available',
  2129. fill_value_categorical=None,
  2130. fill_value_numerical=None,
  2131. numeric_strate...
  2132. target='label')),
  2133. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2134. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2135. ('dummy', Dummify(target='label')),
  2136. ('fix_perfect', Remove_100(target='label')),
  2137. ('clean_names', Clean_Colum_Names()),
  2138. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2139. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2140. verbose=False)
  2141. 2022-01-17 14:07:24,699:INFO:get_config() succesfully completed......................................
  2142. 2022-01-17 14:07:24,700:INFO:Fitting Model
  2143. 2022-01-17 14:07:24,701:INFO:Scoring test/hold-out set
  2144. 2022-01-17 14:07:24,849:INFO:Visual Rendered Successfully
  2145. 2022-01-17 14:07:24,920:INFO:plot_model() succesfully completed......................................
  2146. 2022-01-17 14:07:29,582:INFO:Initializing plot_model()
  2147. 2022-01-17 14:07:29,582:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2148. criterion='gini', max_depth=9, max_features=1.0,
  2149. max_leaf_nodes=None, max_samples=None,
  2150. min_impurity_decrease=0.3, min_impurity_split=None,
  2151. min_samples_leaf=4, min_samples_split=10,
  2152. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2153. oob_score=False, random_state=7446, verbose=0,
  2154. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  2155. 2022-01-17 14:07:29,583:INFO:Checking exceptions
  2156. 2022-01-17 14:07:29,591:INFO:Preparing display monitor
  2157. 2022-01-17 14:07:29,596:INFO:Preloading libraries
  2158. 2022-01-17 14:07:29,602:INFO:Copying training dataset
  2159. 2022-01-17 14:07:29,602:INFO:Copying test dataset
  2160. 2022-01-17 14:07:29,603:INFO:Plot type: threshold
  2161. 2022-01-17 14:07:29,619:INFO:Fitting Model
  2162. 2022-01-17 14:07:37,342:INFO:Scoring test/hold-out set
  2163. 2022-01-17 14:07:37,610:INFO:Visual Rendered Successfully
  2164. 2022-01-17 14:07:37,687:INFO:plot_model() succesfully completed......................................
  2165. 2022-01-17 14:07:41,486:INFO:Initializing plot_model()
  2166. 2022-01-17 14:07:41,486:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2167. criterion='gini', max_depth=9, max_features=1.0,
  2168. max_leaf_nodes=None, max_samples=None,
  2169. min_impurity_decrease=0.3, min_impurity_split=None,
  2170. min_samples_leaf=4, min_samples_split=10,
  2171. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2172. oob_score=False, random_state=7446, verbose=0,
  2173. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  2174. 2022-01-17 14:07:41,487:INFO:Checking exceptions
  2175. 2022-01-17 14:07:41,496:INFO:Preparing display monitor
  2176. 2022-01-17 14:07:41,501:INFO:Preloading libraries
  2177. 2022-01-17 14:07:41,509:INFO:Copying training dataset
  2178. 2022-01-17 14:07:41,510:INFO:Copying test dataset
  2179. 2022-01-17 14:07:41,510:INFO:Plot type: pr
  2180. 2022-01-17 14:07:41,527:INFO:Fitting Model
  2181. 2022-01-17 14:07:41,528:INFO:Scoring test/hold-out set
  2182. 2022-01-17 14:07:41,672:INFO:Visual Rendered Successfully
  2183. 2022-01-17 14:07:41,741:INFO:plot_model() succesfully completed......................................
  2184. 2022-01-17 14:07:45,037:INFO:Initializing plot_model()
  2185. 2022-01-17 14:07:45,038:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2186. criterion='gini', max_depth=9, max_features=1.0,
  2187. max_leaf_nodes=None, max_samples=None,
  2188. min_impurity_decrease=0.3, min_impurity_split=None,
  2189. min_samples_leaf=4, min_samples_split=10,
  2190. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2191. oob_score=False, random_state=7446, verbose=0,
  2192. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  2193. 2022-01-17 14:07:45,038:INFO:Checking exceptions
  2194. 2022-01-17 14:07:45,047:INFO:Preparing display monitor
  2195. 2022-01-17 14:07:45,052:INFO:Preloading libraries
  2196. 2022-01-17 14:07:45,060:INFO:Copying training dataset
  2197. 2022-01-17 14:07:45,060:INFO:Copying test dataset
  2198. 2022-01-17 14:07:45,061:INFO:Plot type: error
  2199. 2022-01-17 14:07:45,077:INFO:Initializing get_config()
  2200. 2022-01-17 14:07:45,077:INFO:get_config(variable=prep_pipe)
  2201. 2022-01-17 14:07:45,080:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  2202. steps=[('dtypes',
  2203. DataTypes_Auto_infer(categorical_features=[],
  2204. display_types=True, features_todrop=[],
  2205. id_columns=[],
  2206. ml_usecase='classification',
  2207. numerical_features=[], target='label',
  2208. time_features=[])),
  2209. ('imputer',
  2210. Simple_Imputer(categorical_strategy='not_available',
  2211. fill_value_categorical=None,
  2212. fill_value_numerical=None,
  2213. numeric_strate...
  2214. target='label')),
  2215. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2216. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2217. ('dummy', Dummify(target='label')),
  2218. ('fix_perfect', Remove_100(target='label')),
  2219. ('clean_names', Clean_Colum_Names()),
  2220. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2221. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2222. verbose=False)
  2223. 2022-01-17 14:07:45,081:INFO:get_config() succesfully completed......................................
  2224. 2022-01-17 14:07:45,081:INFO:Fitting Model
  2225. 2022-01-17 14:07:45,082:INFO:Scoring test/hold-out set
  2226. 2022-01-17 14:07:45,213:INFO:Visual Rendered Successfully
  2227. 2022-01-17 14:07:45,291:INFO:plot_model() succesfully completed......................................
  2228. 2022-01-17 14:08:04,305:INFO:Initializing tune_model()
  2229. 2022-01-17 14:08:04,306:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2230. criterion='gini', max_depth=None, max_features='auto',
  2231. max_leaf_nodes=None, max_samples=None,
  2232. min_impurity_decrease=0.0, min_impurity_split=None,
  2233. min_samples_leaf=1, min_samples_split=2,
  2234. min_weight_fraction_leaf=0.0, n_estimators=100,
  2235. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2236. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  2237. 2022-01-17 14:08:04,306:INFO:Checking exceptions
  2238. 2022-01-17 14:08:04,307:INFO:Preparing display monitor
  2239. 2022-01-17 14:08:04,318:INFO:Copying training dataset
  2240. 2022-01-17 14:08:04,319:INFO:Checking base model
  2241. 2022-01-17 14:08:04,319:INFO:Base model : Random Forest Classifier
  2242. 2022-01-17 14:08:04,325:INFO:Declaring metric variables
  2243. 2022-01-17 14:08:04,329:INFO:Defining Hyperparameters
  2244. 2022-01-17 14:08:04,410:INFO:Tuning with n_jobs=-1
  2245. 2022-01-17 14:08:04,410:INFO:Initializing RandomizedSearchCV
  2246. 2022-01-17 14:08:08,770:INFO:best_params: {'actual_estimator__n_estimators': 60, 'actual_estimator__min_samples_split': 10, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.3, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 9, 'actual_estimator__criterion': 'gini', 'actual_estimator__class_weight': 'balanced', 'actual_estimator__bootstrap': True}
  2247. 2022-01-17 14:08:08,771:INFO:Hyperparameter search completed
  2248. 2022-01-17 14:08:08,771:INFO:SubProcess create_model() called ==================================
  2249. 2022-01-17 14:08:08,772:INFO:Initializing create_model()
  2250. 2022-01-17 14:08:08,772:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2251. criterion='gini', max_depth=None, max_features='auto',
  2252. max_leaf_nodes=None, max_samples=None,
  2253. min_impurity_decrease=0.0, min_impurity_split=None,
  2254. min_samples_leaf=1, min_samples_split=2,
  2255. min_weight_fraction_leaf=0.0, n_estimators=100,
  2256. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2257. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f6368e6cd60>, kwargs={'n_estimators': 60, 'min_samples_split': 10, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.3, 'max_features': 1.0, 'max_depth': 9, 'criterion': 'gini', 'class_weight': 'balanced', 'bootstrap': True})
  2258. 2022-01-17 14:08:08,772:INFO:Checking exceptions
  2259. 2022-01-17 14:08:08,772:INFO:Importing libraries
  2260. 2022-01-17 14:08:08,772:INFO:Copying training dataset
  2261. 2022-01-17 14:08:08,773:INFO:Defining folds
  2262. 2022-01-17 14:08:08,774:INFO:Declaring metric variables
  2263. 2022-01-17 14:08:08,781:INFO:Importing untrained model
  2264. 2022-01-17 14:08:08,781:INFO:Declaring custom model
  2265. 2022-01-17 14:08:08,788:INFO:Random Forest Classifier Imported succesfully
  2266. 2022-01-17 14:08:08,801:INFO:Starting cross validation
  2267. 2022-01-17 14:08:08,802:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2268. 2022-01-17 14:08:12,590:INFO:Calculating mean and std
  2269. 2022-01-17 14:08:12,590:INFO:Creating metrics dataframe
  2270. 2022-01-17 14:08:12,597:INFO:Finalizing model
  2271. 2022-01-17 14:08:12,739:INFO:Uploading results into container
  2272. 2022-01-17 14:08:12,739:INFO:Uploading model into container now
  2273. 2022-01-17 14:08:12,739:INFO:create_model_container: 17
  2274. 2022-01-17 14:08:12,739:INFO:master_model_container: 17
  2275. 2022-01-17 14:08:12,740:INFO:display_container: 5
  2276. 2022-01-17 14:08:12,740:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2277. criterion='gini', max_depth=9, max_features=1.0,
  2278. max_leaf_nodes=None, max_samples=None,
  2279. min_impurity_decrease=0.3, min_impurity_split=None,
  2280. min_samples_leaf=4, min_samples_split=10,
  2281. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2282. oob_score=False, random_state=7446, verbose=0,
  2283. warm_start=False)
  2284. 2022-01-17 14:08:12,740:INFO:create_model() succesfully completed......................................
  2285. 2022-01-17 14:08:12,809:INFO:SubProcess create_model() end ==================================
  2286. 2022-01-17 14:08:12,819:INFO:create_model_container: 17
  2287. 2022-01-17 14:08:12,819:INFO:master_model_container: 17
  2288. 2022-01-17 14:08:12,819:INFO:display_container: 5
  2289. 2022-01-17 14:08:12,820:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2290. criterion='gini', max_depth=9, max_features=1.0,
  2291. max_leaf_nodes=None, max_samples=None,
  2292. min_impurity_decrease=0.3, min_impurity_split=None,
  2293. min_samples_leaf=4, min_samples_split=10,
  2294. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2295. oob_score=False, random_state=7446, verbose=0,
  2296. warm_start=False)
  2297. 2022-01-17 14:08:12,820:INFO:tune_model() succesfully completed......................................
  2298. 2022-01-17 14:08:19,986:INFO:Initializing create_model()
  2299. 2022-01-17 14:08:19,986:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  2300. 2022-01-17 14:08:19,987:INFO:Checking exceptions
  2301. 2022-01-17 14:08:19,987:INFO:Preparing display monitor
  2302. 2022-01-17 14:08:19,998:INFO:Importing libraries
  2303. 2022-01-17 14:08:19,999:INFO:Copying training dataset
  2304. 2022-01-17 14:08:19,999:INFO:Defining folds
  2305. 2022-01-17 14:08:20,000:INFO:Declaring metric variables
  2306. 2022-01-17 14:08:20,005:INFO:Importing untrained model
  2307. 2022-01-17 14:08:20,009:INFO:Random Forest Classifier Imported succesfully
  2308. 2022-01-17 14:08:20,020:INFO:Starting cross validation
  2309. 2022-01-17 14:08:20,021:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2310. 2022-01-17 14:08:25,648:INFO:Calculating mean and std
  2311. 2022-01-17 14:08:25,649:INFO:Creating metrics dataframe
  2312. 2022-01-17 14:08:25,656:INFO:Finalizing model
  2313. 2022-01-17 14:08:25,929:INFO:Uploading results into container
  2314. 2022-01-17 14:08:25,929:INFO:Uploading model into container now
  2315. 2022-01-17 14:08:25,939:INFO:create_model_container: 18
  2316. 2022-01-17 14:08:25,940:INFO:master_model_container: 18
  2317. 2022-01-17 14:08:25,940:INFO:display_container: 6
  2318. 2022-01-17 14:08:25,940:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2319. criterion='gini', max_depth=None, max_features='auto',
  2320. max_leaf_nodes=None, max_samples=None,
  2321. min_impurity_decrease=0.0, min_impurity_split=None,
  2322. min_samples_leaf=1, min_samples_split=2,
  2323. min_weight_fraction_leaf=0.0, n_estimators=100,
  2324. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2325. warm_start=False)
  2326. 2022-01-17 14:08:25,940:INFO:create_model() succesfully completed......................................
  2327. 2022-01-17 14:08:30,894:INFO:Initializing evaluate_model()
  2328. 2022-01-17 14:08:30,895:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2329. criterion='gini', max_depth=None, max_features='auto',
  2330. max_leaf_nodes=None, max_samples=None,
  2331. min_impurity_decrease=0.0, min_impurity_split=None,
  2332. min_samples_leaf=1, min_samples_split=2,
  2333. min_weight_fraction_leaf=0.0, n_estimators=100,
  2334. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2335. warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  2336. 2022-01-17 14:08:30,905:INFO:Initializing plot_model()
  2337. 2022-01-17 14:08:30,905:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2338. criterion='gini', max_depth=None, max_features='auto',
  2339. max_leaf_nodes=None, max_samples=None,
  2340. min_impurity_decrease=0.0, min_impurity_split=None,
  2341. min_samples_leaf=1, min_samples_split=2,
  2342. min_weight_fraction_leaf=0.0, n_estimators=100,
  2343. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2344. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  2345. 2022-01-17 14:08:30,905:INFO:Checking exceptions
  2346. 2022-01-17 14:08:30,919:INFO:Preparing display monitor
  2347. 2022-01-17 14:08:30,924:INFO:Preloading libraries
  2348. 2022-01-17 14:08:30,931:INFO:Copying training dataset
  2349. 2022-01-17 14:08:30,932:INFO:Copying test dataset
  2350. 2022-01-17 14:08:30,933:INFO:Plot type: parameter
  2351. 2022-01-17 14:08:30,964:INFO:Visual Rendered Successfully
  2352. 2022-01-17 14:08:31,041:INFO:plot_model() succesfully completed......................................
  2353. 2022-01-17 14:08:33,412:INFO:Initializing plot_model()
  2354. 2022-01-17 14:08:33,413:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2355. criterion='gini', max_depth=None, max_features='auto',
  2356. max_leaf_nodes=None, max_samples=None,
  2357. min_impurity_decrease=0.0, min_impurity_split=None,
  2358. min_samples_leaf=1, min_samples_split=2,
  2359. min_weight_fraction_leaf=0.0, n_estimators=100,
  2360. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2361. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  2362. 2022-01-17 14:08:33,413:INFO:Checking exceptions
  2363. 2022-01-17 14:08:33,427:INFO:Preparing display monitor
  2364. 2022-01-17 14:08:33,432:INFO:Preloading libraries
  2365. 2022-01-17 14:08:33,438:INFO:Copying training dataset
  2366. 2022-01-17 14:08:33,438:INFO:Copying test dataset
  2367. 2022-01-17 14:08:33,439:INFO:Plot type: auc
  2368. 2022-01-17 14:08:33,466:INFO:Initializing get_config()
  2369. 2022-01-17 14:08:33,466:INFO:get_config(variable=prep_pipe)
  2370. 2022-01-17 14:08:33,469:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  2371. steps=[('dtypes',
  2372. DataTypes_Auto_infer(categorical_features=[],
  2373. display_types=True, features_todrop=[],
  2374. id_columns=[],
  2375. ml_usecase='classification',
  2376. numerical_features=[], target='label',
  2377. time_features=[])),
  2378. ('imputer',
  2379. Simple_Imputer(categorical_strategy='not_available',
  2380. fill_value_categorical=None,
  2381. fill_value_numerical=None,
  2382. numeric_strate...
  2383. target='label')),
  2384. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2385. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2386. ('dummy', Dummify(target='label')),
  2387. ('fix_perfect', Remove_100(target='label')),
  2388. ('clean_names', Clean_Colum_Names()),
  2389. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2390. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2391. verbose=False)
  2392. 2022-01-17 14:08:33,469:INFO:get_config() succesfully completed......................................
  2393. 2022-01-17 14:08:33,470:INFO:Fitting Model
  2394. 2022-01-17 14:08:33,471:INFO:Scoring test/hold-out set
  2395. 2022-01-17 14:08:33,631:INFO:Visual Rendered Successfully
  2396. 2022-01-17 14:08:33,705:INFO:plot_model() succesfully completed......................................
  2397. 2022-01-17 14:08:36,846:INFO:Initializing plot_model()
  2398. 2022-01-17 14:08:36,846:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2399. criterion='gini', max_depth=None, max_features='auto',
  2400. max_leaf_nodes=None, max_samples=None,
  2401. min_impurity_decrease=0.0, min_impurity_split=None,
  2402. min_samples_leaf=1, min_samples_split=2,
  2403. min_weight_fraction_leaf=0.0, n_estimators=100,
  2404. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2405. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  2406. 2022-01-17 14:08:36,847:INFO:Checking exceptions
  2407. 2022-01-17 14:08:36,860:INFO:Preparing display monitor
  2408. 2022-01-17 14:08:36,865:INFO:Preloading libraries
  2409. 2022-01-17 14:08:36,872:INFO:Copying training dataset
  2410. 2022-01-17 14:08:36,872:INFO:Copying test dataset
  2411. 2022-01-17 14:08:36,873:INFO:Plot type: feature
  2412. 2022-01-17 14:08:36,898:WARNING:No coef_ found. Trying feature_importances_
  2413. 2022-01-17 14:08:36,994:INFO:Visual Rendered Successfully
  2414. 2022-01-17 14:08:37,080:INFO:plot_model() succesfully completed......................................
  2415. 2022-01-17 14:08:47,377:INFO:Initializing plot_model()
  2416. 2022-01-17 14:08:47,377:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2417. criterion='gini', max_depth=None, max_features='auto',
  2418. max_leaf_nodes=None, max_samples=None,
  2419. min_impurity_decrease=0.0, min_impurity_split=None,
  2420. min_samples_leaf=1, min_samples_split=2,
  2421. min_weight_fraction_leaf=0.0, n_estimators=100,
  2422. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2423. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  2424. 2022-01-17 14:08:47,377:INFO:Checking exceptions
  2425. 2022-01-17 14:08:47,391:INFO:Preparing display monitor
  2426. 2022-01-17 14:08:47,396:INFO:Preloading libraries
  2427. 2022-01-17 14:08:47,403:INFO:Copying training dataset
  2428. 2022-01-17 14:08:47,404:INFO:Copying test dataset
  2429. 2022-01-17 14:08:47,404:INFO:Plot type: threshold
  2430. 2022-01-17 14:08:47,431:INFO:Fitting Model
  2431. 2022-01-17 14:09:02,447:INFO:Scoring test/hold-out set
  2432. 2022-01-17 14:09:02,654:INFO:Visual Rendered Successfully
  2433. 2022-01-17 14:09:02,725:INFO:plot_model() succesfully completed......................................
  2434. 2022-01-17 14:09:05,558:INFO:Initializing plot_model()
  2435. 2022-01-17 14:09:05,558:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2436. criterion='gini', max_depth=None, max_features='auto',
  2437. max_leaf_nodes=None, max_samples=None,
  2438. min_impurity_decrease=0.0, min_impurity_split=None,
  2439. min_samples_leaf=1, min_samples_split=2,
  2440. min_weight_fraction_leaf=0.0, n_estimators=100,
  2441. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2442. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
  2443. 2022-01-17 14:09:05,559:INFO:Checking exceptions
  2444. 2022-01-17 14:09:05,572:INFO:Preparing display monitor
  2445. 2022-01-17 14:09:05,576:INFO:Preloading libraries
  2446. 2022-01-17 14:09:05,583:INFO:Copying training dataset
  2447. 2022-01-17 14:09:05,583:INFO:Copying test dataset
  2448. 2022-01-17 14:09:05,584:INFO:Plot type: boundary
  2449. 2022-01-17 14:09:05,613:INFO:Fitting StandardScaler()
  2450. 2022-01-17 14:09:05,622:INFO:Fitting PCA()
  2451. 2022-01-17 14:09:05,715:INFO:Initializing get_config()
  2452. 2022-01-17 14:09:05,716:INFO:get_config(variable=prep_pipe)
  2453. 2022-01-17 14:09:05,720:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  2454. steps=[('dtypes',
  2455. DataTypes_Auto_infer(categorical_features=[],
  2456. display_types=True, features_todrop=[],
  2457. id_columns=[],
  2458. ml_usecase='classification',
  2459. numerical_features=[], target='label',
  2460. time_features=[])),
  2461. ('imputer',
  2462. Simple_Imputer(categorical_strategy='not_available',
  2463. fill_value_categorical=None,
  2464. fill_value_numerical=None,
  2465. numeric_strate...
  2466. target='label')),
  2467. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2468. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2469. ('dummy', Dummify(target='label')),
  2470. ('fix_perfect', Remove_100(target='label')),
  2471. ('clean_names', Clean_Colum_Names()),
  2472. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2473. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2474. verbose=False)
  2475. 2022-01-17 14:09:05,720:INFO:get_config() succesfully completed......................................
  2476. 2022-01-17 14:09:05,721:INFO:Fitting Model
  2477. 2022-01-17 14:09:07,028:INFO:Visual Rendered Successfully
  2478. 2022-01-17 14:09:07,132:INFO:plot_model() succesfully completed......................................
  2479. 2022-01-17 14:09:19,334:INFO:Initializing plot_model()
  2480. 2022-01-17 14:09:19,334:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2481. criterion='gini', max_depth=None, max_features='auto',
  2482. max_leaf_nodes=None, max_samples=None,
  2483. min_impurity_decrease=0.0, min_impurity_split=None,
  2484. min_samples_leaf=1, min_samples_split=2,
  2485. min_weight_fraction_leaf=0.0, n_estimators=100,
  2486. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2487. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  2488. 2022-01-17 14:09:19,334:INFO:Checking exceptions
  2489. 2022-01-17 14:09:19,348:INFO:Preparing display monitor
  2490. 2022-01-17 14:09:19,353:INFO:Preloading libraries
  2491. 2022-01-17 14:09:19,359:INFO:Copying training dataset
  2492. 2022-01-17 14:09:19,360:INFO:Copying test dataset
  2493. 2022-01-17 14:09:19,360:INFO:Plot type: lift
  2494. 2022-01-17 14:09:19,386:INFO:Generating predictions / predict_proba on X_test
  2495. 2022-01-17 14:09:19,515:INFO:Visual Rendered Successfully
  2496. 2022-01-17 14:09:19,589:INFO:plot_model() succesfully completed......................................
  2497. 2022-01-17 14:09:23,210:INFO:Initializing plot_model()
  2498. 2022-01-17 14:09:23,211:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2499. criterion='gini', max_depth=None, max_features='auto',
  2500. max_leaf_nodes=None, max_samples=None,
  2501. min_impurity_decrease=0.0, min_impurity_split=None,
  2502. min_samples_leaf=1, min_samples_split=2,
  2503. min_weight_fraction_leaf=0.0, n_estimators=100,
  2504. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2505. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  2506. 2022-01-17 14:09:23,211:INFO:Checking exceptions
  2507. 2022-01-17 14:09:23,224:INFO:Preparing display monitor
  2508. 2022-01-17 14:09:23,229:INFO:Preloading libraries
  2509. 2022-01-17 14:09:23,235:INFO:Copying training dataset
  2510. 2022-01-17 14:09:23,236:INFO:Copying test dataset
  2511. 2022-01-17 14:09:23,236:INFO:Plot type: gain
  2512. 2022-01-17 14:09:23,262:INFO:Generating predictions / predict_proba on X_test
  2513. 2022-01-17 14:09:23,384:INFO:Visual Rendered Successfully
  2514. 2022-01-17 14:09:23,464:INFO:plot_model() succesfully completed......................................
  2515. 2022-01-17 14:09:25,495:INFO:Initializing plot_model()
  2516. 2022-01-17 14:09:25,496:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2517. criterion='gini', max_depth=None, max_features='auto',
  2518. max_leaf_nodes=None, max_samples=None,
  2519. min_impurity_decrease=0.0, min_impurity_split=None,
  2520. min_samples_leaf=1, min_samples_split=2,
  2521. min_weight_fraction_leaf=0.0, n_estimators=100,
  2522. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2523. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  2524. 2022-01-17 14:09:25,496:INFO:Checking exceptions
  2525. 2022-01-17 14:09:25,509:INFO:Preparing display monitor
  2526. 2022-01-17 14:09:25,515:INFO:Preloading libraries
  2527. 2022-01-17 14:09:25,521:INFO:Copying training dataset
  2528. 2022-01-17 14:09:25,522:INFO:Copying test dataset
  2529. 2022-01-17 14:09:25,522:INFO:Plot type: tree
  2530. 2022-01-17 14:09:26,537:INFO:Plotting decision trees
  2531. 2022-01-17 14:09:26,542:INFO:Plotting tree 0
  2532. 2022-01-17 14:09:28,332:INFO:Plotting tree 1
  2533. 2022-01-17 14:09:30,091:INFO:Plotting tree 2
  2534. 2022-01-17 14:09:31,900:INFO:Plotting tree 3
  2535. 2022-01-17 14:09:33,639:INFO:Plotting tree 4
  2536. 2022-01-17 14:09:35,406:INFO:Plotting tree 5
  2537. 2022-01-17 14:09:37,118:INFO:Plotting tree 6
  2538. 2022-01-17 14:09:38,825:INFO:Plotting tree 7
  2539. 2022-01-17 14:09:40,746:INFO:Plotting tree 8
  2540. 2022-01-17 14:09:42,530:INFO:Plotting tree 9
  2541. 2022-01-17 14:09:44,309:INFO:Plotting tree 10
  2542. 2022-01-17 14:09:45,969:INFO:Plotting tree 11
  2543. 2022-01-17 14:09:47,996:INFO:Plotting tree 12
  2544. 2022-01-17 14:09:49,746:INFO:Plotting tree 13
  2545. 2022-01-17 14:09:51,378:INFO:Plotting tree 14
  2546. 2022-01-17 14:09:53,261:INFO:Plotting tree 15
  2547. 2022-01-17 14:09:55,019:INFO:Plotting tree 16
  2548. 2022-01-17 14:09:56,745:INFO:Plotting tree 17
  2549. 2022-01-17 14:09:58,676:INFO:Plotting tree 18
  2550. 2022-01-17 14:10:00,263:INFO:Plotting tree 19
  2551. 2022-01-17 14:10:02,089:INFO:Plotting tree 20
  2552. 2022-01-17 14:10:03,925:INFO:Plotting tree 21
  2553. 2022-01-17 14:10:05,516:INFO:Plotting tree 22
  2554. 2022-01-17 14:10:07,184:INFO:Plotting tree 23
  2555. 2022-01-17 14:10:09,142:INFO:Plotting tree 24
  2556. 2022-01-17 14:10:10,768:INFO:Plotting tree 25
  2557. 2022-01-17 14:10:12,383:INFO:Plotting tree 26
  2558. 2022-01-17 14:10:14,068:INFO:Plotting tree 27
  2559. 2022-01-17 14:10:15,780:INFO:Plotting tree 28
  2560. 2022-01-17 14:10:17,441:INFO:Plotting tree 29
  2561. 2022-01-17 14:10:19,177:INFO:Plotting tree 30
  2562. 2022-01-17 14:10:20,973:INFO:Plotting tree 31
  2563. 2022-01-17 14:10:22,854:INFO:Plotting tree 32
  2564. 2022-01-17 14:10:24,603:INFO:Plotting tree 33
  2565. 2022-01-17 14:10:26,152:INFO:Plotting tree 34
  2566. 2022-01-17 14:10:27,861:INFO:Plotting tree 35
  2567. 2022-01-17 14:10:29,600:INFO:Plotting tree 36
  2568. 2022-01-17 14:10:31,275:INFO:Plotting tree 37
  2569. 2022-01-17 14:10:33,163:INFO:Plotting tree 38
  2570. 2022-01-17 14:10:34,802:INFO:Plotting tree 39
  2571. 2022-01-17 14:10:36,516:INFO:Plotting tree 40
  2572. 2022-01-17 14:10:38,677:INFO:Plotting tree 41
  2573. 2022-01-17 14:10:40,351:INFO:Plotting tree 42
  2574. 2022-01-17 14:10:42,134:INFO:Plotting tree 43
  2575. 2022-01-17 14:10:43,788:INFO:Plotting tree 44
  2576. 2022-01-17 14:10:45,502:INFO:Plotting tree 45
  2577. 2022-01-17 14:10:47,238:INFO:Plotting tree 46
  2578. 2022-01-17 14:10:49,055:INFO:Plotting tree 47
  2579. 2022-01-17 14:10:50,813:INFO:Plotting tree 48
  2580. 2022-01-17 14:10:52,595:INFO:Plotting tree 49
  2581. 2022-01-17 14:10:54,325:INFO:Plotting tree 50
  2582. 2022-01-17 14:10:56,089:INFO:Plotting tree 51
  2583. 2022-01-17 14:10:58,219:INFO:Plotting tree 52
  2584. 2022-01-17 14:10:59,776:INFO:Plotting tree 53
  2585. 2022-01-17 14:11:01,532:INFO:Plotting tree 54
  2586. 2022-01-17 14:11:03,177:INFO:Plotting tree 55
  2587. 2022-01-17 14:11:05,002:INFO:Plotting tree 56
  2588. 2022-01-17 14:11:06,885:INFO:Plotting tree 57
  2589. 2022-01-17 14:11:08,543:INFO:Plotting tree 58
  2590. 2022-01-17 14:11:10,182:INFO:Plotting tree 59
  2591. 2022-01-17 14:11:11,836:INFO:Plotting tree 60
  2592. 2022-01-17 14:11:13,648:INFO:Plotting tree 61
  2593. 2022-01-17 14:11:15,345:INFO:Plotting tree 62
  2594. 2022-01-17 14:11:17,166:INFO:Plotting tree 63
  2595. 2022-01-17 14:11:19,487:INFO:Plotting tree 64
  2596. 2022-01-17 14:11:21,292:INFO:Plotting tree 65
  2597. 2022-01-17 14:11:22,969:INFO:Plotting tree 66
  2598. 2022-01-17 14:11:24,654:INFO:Plotting tree 67
  2599. 2022-01-17 14:11:26,434:INFO:Plotting tree 68
  2600. 2022-01-17 14:11:28,139:INFO:Plotting tree 69
  2601. 2022-01-17 14:11:29,848:INFO:Plotting tree 70
  2602. 2022-01-17 14:11:31,585:INFO:Plotting tree 71
  2603. 2022-01-17 14:11:33,241:INFO:Plotting tree 72
  2604. 2022-01-17 14:11:35,057:INFO:Plotting tree 73
  2605. 2022-01-17 14:11:36,731:INFO:Plotting tree 74
  2606. 2022-01-17 14:11:38,269:INFO:Plotting tree 75
  2607. 2022-01-17 14:11:40,126:INFO:Plotting tree 76
  2608. 2022-01-17 14:11:41,992:INFO:Plotting tree 77
  2609. 2022-01-17 14:11:43,863:INFO:Plotting tree 78
  2610. 2022-01-17 14:11:46,324:INFO:Plotting tree 79
  2611. 2022-01-17 14:11:48,142:INFO:Plotting tree 80
  2612. 2022-01-17 14:11:50,008:INFO:Plotting tree 81
  2613. 2022-01-17 14:11:51,671:INFO:Plotting tree 82
  2614. 2022-01-17 14:11:53,472:INFO:Plotting tree 83
  2615. 2022-01-17 14:11:55,450:INFO:Plotting tree 84
  2616. 2022-01-17 14:11:57,306:INFO:Plotting tree 85
  2617. 2022-01-17 14:11:59,101:INFO:Plotting tree 86
  2618. 2022-01-17 14:12:00,769:INFO:Plotting tree 87
  2619. 2022-01-17 14:12:02,525:INFO:Plotting tree 88
  2620. 2022-01-17 14:12:04,110:INFO:Plotting tree 89
  2621. 2022-01-17 14:12:05,813:INFO:Plotting tree 90
  2622. 2022-01-17 14:12:07,556:INFO:Plotting tree 91
  2623. 2022-01-17 14:12:09,137:INFO:Plotting tree 92
  2624. 2022-01-17 14:12:10,846:INFO:Plotting tree 93
  2625. 2022-01-17 14:12:12,496:INFO:Plotting tree 94
  2626. 2022-01-17 14:12:14,130:INFO:Plotting tree 95
  2627. 2022-01-17 14:12:16,541:INFO:Plotting tree 96
  2628. 2022-01-17 14:12:18,264:INFO:Plotting tree 97
  2629. 2022-01-17 14:12:20,048:INFO:Plotting tree 98
  2630. 2022-01-17 14:12:21,761:INFO:Plotting tree 99
  2631. 2022-01-17 14:18:50,862:INFO:Initializing plot_model()
  2632. 2022-01-17 14:18:50,863:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2633. criterion='gini', max_depth=9, max_features=1.0,
  2634. max_leaf_nodes=None, max_samples=None,
  2635. min_impurity_decrease=0.3, min_impurity_split=None,
  2636. min_samples_leaf=4, min_samples_split=10,
  2637. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2638. oob_score=False, random_state=7446, verbose=0,
  2639. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  2640. 2022-01-17 14:18:50,863:INFO:Checking exceptions
  2641. 2022-01-17 14:18:50,871:INFO:Preparing display monitor
  2642. 2022-01-17 14:18:50,876:INFO:Preloading libraries
  2643. 2022-01-17 14:18:50,885:INFO:Copying training dataset
  2644. 2022-01-17 14:18:50,886:INFO:Copying test dataset
  2645. 2022-01-17 14:18:50,887:INFO:Plot type: feature
  2646. 2022-01-17 14:18:50,903:WARNING:No coef_ found. Trying feature_importances_
  2647. 2022-01-17 14:18:50,994:INFO:Visual Rendered Successfully
  2648. 2022-01-17 14:18:52,566:INFO:plot_model() succesfully completed......................................
  2649. 2022-01-17 14:20:56,926:INFO:PyCaret Supervised Module
  2650. 2022-01-17 14:20:56,926:INFO:ML Usecase: classification
  2651. 2022-01-17 14:20:56,926:INFO:version 2.3.6
  2652. 2022-01-17 14:20:56,926:INFO:Initializing setup()
  2653. 2022-01-17 14:20:56,926:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  2654. 2022-01-17 14:20:56,927:INFO:Checking environment
  2655. 2022-01-17 14:20:56,927:INFO:python_version: 3.8.8
  2656. 2022-01-17 14:20:56,927:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  2657. 2022-01-17 14:20:56,927:INFO:machine: x86_64
  2658. 2022-01-17 14:20:56,927:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  2659. 2022-01-17 14:20:56,928:INFO:Memory: svmem(total=33619935232, available=29885726720, percent=11.1, used=2888994816, free=27308118016, active=1189433344, inactive=4528005120, buffers=594862080, cached=2827960320, shared=383557632, slab=297947136)
  2660. 2022-01-17 14:20:56,929:INFO:Physical Core: 16
  2661. 2022-01-17 14:20:56,929:INFO:Logical Core: 32
  2662. 2022-01-17 14:20:56,929:INFO:Checking libraries
  2663. 2022-01-17 14:20:56,929:INFO:pd==1.2.4
  2664. 2022-01-17 14:20:56,929:INFO:numpy==1.19.5
  2665. 2022-01-17 14:20:56,929:INFO:sklearn==0.23.2
  2666. 2022-01-17 14:20:56,929:INFO:lightgbm==3.3.2
  2667. 2022-01-17 14:20:56,930:WARNING:catboost not found
  2668. 2022-01-17 14:20:56,930:WARNING:xgboost not found
  2669. 2022-01-17 14:20:57,049:INFO:mlflow==1.22.0
  2670. 2022-01-17 14:20:57,050:INFO:Checking Exceptions
  2671. 2022-01-17 14:20:57,050:INFO:Declaring global variables
  2672. 2022-01-17 14:20:57,050:INFO:USI: 9111
  2673. 2022-01-17 14:20:57,051:INFO:pycaret_globals: {'fold_groups_param_full', 'fold_param', 'data_before_preprocess', '_all_models_internal', 'y_test', 'logging_param', 'gpu_param', 'target_param', 'create_model_container', 'fold_groups_param', 'log_plots_param', '_available_plots', 'display_container', '_internal_pipeline', 'stratify_param', 'fold_generator', 'X_test', 'imputation_regressor', 'prep_pipe', 'USI', 'master_model_container', 'y_train', 'html_param', '_all_models', 'transform_target_param', 'imputation_classifier', '_gpu_n_jobs_param', 'fix_imbalance_method_param', 'y', 'transform_target_method_param', 'iterative_imputation_iters_param', 'n_jobs_param', 'fix_imbalance_param', '_ml_usecase', '_all_metrics', 'seed', 'pycaret_globals', 'exp_name_log', 'fold_shuffle_param', 'X_train', 'X', 'experiment__'}
  2674. 2022-01-17 14:20:57,051:INFO:Preparing display monitor
  2675. 2022-01-17 14:20:57,051:INFO:Preparing display monitor
  2676. 2022-01-17 14:20:57,062:INFO:Importing libraries
  2677. 2022-01-17 14:20:57,063:INFO:Copying data for preprocessing
  2678. 2022-01-17 14:20:57,068:INFO:Declaring preprocessing parameters
  2679. 2022-01-17 14:20:57,069:WARNING:cuML not found
  2680. 2022-01-17 14:20:57,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  2681. 2022-01-17 14:20:57,071:INFO:Creating preprocessing pipeline
  2682. 2022-01-17 14:20:57,086:INFO:Preprocessing pipeline created successfully
  2683. 2022-01-17 14:20:57,087:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  2684. 2022-01-17 14:20:57,087:INFO:Creating global containers
  2685. 2022-01-17 14:20:57,088:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  2686. 2022-01-17 14:21:38,452:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  2687. 2022-01-17 14:21:38,480:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  2688. 2022-01-17 14:21:38,481:WARNING:Couldn't import cuml.MBSGDClassifier
  2689. 2022-01-17 14:21:38,482:WARNING:Couldn't import cuml.svm.SVC
  2690. 2022-01-17 14:21:38,497:WARNING:Couldn't import cuml.linear_model
  2691. 2022-01-17 14:21:38,501:WARNING:Couldn't import cuml.ensemble
  2692. 2022-01-17 14:21:38,503:WARNING:Couldn't import xgboost.XGBClassifier
  2693. 2022-01-17 14:21:38,509:WARNING:Couldn't import catboost.CatBoostClassifier
  2694. 2022-01-17 14:21:38,513:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  2695. 2022-01-17 14:21:38,541:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  2696. 2022-01-17 14:21:38,541:WARNING:Couldn't import cuml.MBSGDClassifier
  2697. 2022-01-17 14:21:38,542:WARNING:Couldn't import cuml.svm.SVC
  2698. 2022-01-17 14:21:38,556:WARNING:Couldn't import cuml.linear_model
  2699. 2022-01-17 14:21:38,559:WARNING:Couldn't import cuml.ensemble
  2700. 2022-01-17 14:21:38,560:WARNING:Couldn't import xgboost.XGBClassifier
  2701. 2022-01-17 14:21:38,564:WARNING:Couldn't import catboost.CatBoostClassifier
  2702. 2022-01-17 14:21:38,565:INFO:Creating grid variables
  2703. 2022-01-17 14:21:38,577:INFO:create_model_container: 0
  2704. 2022-01-17 14:21:38,577:INFO:master_model_container: 0
  2705. 2022-01-17 14:21:38,578:INFO:display_container: 1
  2706. 2022-01-17 14:21:38,581:INFO:Pipeline(memory=None,
  2707. steps=[('dtypes',
  2708. DataTypes_Auto_infer(categorical_features=[],
  2709. display_types=True, features_todrop=[],
  2710. id_columns=[],
  2711. ml_usecase='classification',
  2712. numerical_features=[], target='label',
  2713. time_features=[])),
  2714. ('imputer',
  2715. Simple_Imputer(categorical_strategy='not_available',
  2716. fill_value_categorical=None,
  2717. fill_value_numerical=None,
  2718. numeric_strate...
  2719. target='label')),
  2720. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2721. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2722. ('dummy', Dummify(target='label')),
  2723. ('fix_perfect', Remove_100(target='label')),
  2724. ('clean_names', Clean_Colum_Names()),
  2725. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2726. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2727. verbose=False)
  2728. 2022-01-17 14:21:38,581:INFO:setup() succesfully completed......................................
  2729. 2022-01-17 14:22:17,351:INFO:Initializing compare_models()
  2730. 2022-01-17 14:22:17,351:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  2731. 2022-01-17 14:22:17,351:INFO:Checking exceptions
  2732. 2022-01-17 14:22:17,352:INFO:Preparing display monitor
  2733. 2022-01-17 14:22:17,352:INFO:Preparing display monitor
  2734. 2022-01-17 14:22:17,369:INFO:Initializing Logistic Regression
  2735. 2022-01-17 14:22:17,369:INFO:Total runtime is 5.825360616048177e-06 minutes
  2736. 2022-01-17 14:22:17,375:INFO:SubProcess create_model() called ==================================
  2737. 2022-01-17 14:22:17,375:INFO:Initializing create_model()
  2738. 2022-01-17 14:22:17,375:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2739. 2022-01-17 14:22:17,376:INFO:Checking exceptions
  2740. 2022-01-17 14:22:17,376:INFO:Importing libraries
  2741. 2022-01-17 14:22:17,376:INFO:Copying training dataset
  2742. 2022-01-17 14:22:17,377:INFO:Defining folds
  2743. 2022-01-17 14:22:17,377:INFO:Declaring metric variables
  2744. 2022-01-17 14:22:17,382:INFO:Importing untrained model
  2745. 2022-01-17 14:22:17,387:INFO:Logistic Regression Imported succesfully
  2746. 2022-01-17 14:22:17,398:INFO:Starting cross validation
  2747. 2022-01-17 14:22:17,399:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2748. 2022-01-17 14:22:19,126:INFO:Calculating mean and std
  2749. 2022-01-17 14:22:19,129:INFO:Creating metrics dataframe
  2750. 2022-01-17 14:22:19,135:INFO:Uploading results into container
  2751. 2022-01-17 14:22:19,136:INFO:Uploading model into container now
  2752. 2022-01-17 14:22:19,136:INFO:create_model_container: 1
  2753. 2022-01-17 14:22:19,136:INFO:master_model_container: 1
  2754. 2022-01-17 14:22:19,136:INFO:display_container: 2
  2755. 2022-01-17 14:22:19,137:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  2756. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  2757. multi_class='auto', n_jobs=None, penalty='l2',
  2758. random_state=4642, solver='lbfgs', tol=0.0001, verbose=0,
  2759. warm_start=False)
  2760. 2022-01-17 14:22:19,137:INFO:create_model() succesfully completed......................................
  2761. 2022-01-17 14:22:19,220:INFO:SubProcess create_model() end ==================================
  2762. 2022-01-17 14:22:19,220:INFO:Creating metrics dataframe
  2763. 2022-01-17 14:22:19,229:INFO:Initializing K Neighbors Classifier
  2764. 2022-01-17 14:22:19,229:INFO:Total runtime is 0.03100540240605672 minutes
  2765. 2022-01-17 14:22:19,235:INFO:SubProcess create_model() called ==================================
  2766. 2022-01-17 14:22:19,235:INFO:Initializing create_model()
  2767. 2022-01-17 14:22:19,235:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2768. 2022-01-17 14:22:19,236:INFO:Checking exceptions
  2769. 2022-01-17 14:22:19,236:INFO:Importing libraries
  2770. 2022-01-17 14:22:19,236:INFO:Copying training dataset
  2771. 2022-01-17 14:22:19,237:INFO:Defining folds
  2772. 2022-01-17 14:22:19,237:INFO:Declaring metric variables
  2773. 2022-01-17 14:22:19,241:INFO:Importing untrained model
  2774. 2022-01-17 14:22:19,246:INFO:K Neighbors Classifier Imported succesfully
  2775. 2022-01-17 14:22:19,256:INFO:Starting cross validation
  2776. 2022-01-17 14:22:19,257:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2777. 2022-01-17 14:22:24,781:INFO:Calculating mean and std
  2778. 2022-01-17 14:22:24,782:INFO:Creating metrics dataframe
  2779. 2022-01-17 14:22:24,785:INFO:Uploading results into container
  2780. 2022-01-17 14:22:24,785:INFO:Uploading model into container now
  2781. 2022-01-17 14:22:24,786:INFO:create_model_container: 2
  2782. 2022-01-17 14:22:24,786:INFO:master_model_container: 2
  2783. 2022-01-17 14:22:24,786:INFO:display_container: 2
  2784. 2022-01-17 14:22:24,786:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  2785. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  2786. weights='uniform')
  2787. 2022-01-17 14:22:24,787:INFO:create_model() succesfully completed......................................
  2788. 2022-01-17 14:22:24,860:INFO:SubProcess create_model() end ==================================
  2789. 2022-01-17 14:22:24,860:INFO:Creating metrics dataframe
  2790. 2022-01-17 14:22:24,871:INFO:Initializing Naive Bayes
  2791. 2022-01-17 14:22:24,871:INFO:Total runtime is 0.1250363866488139 minutes
  2792. 2022-01-17 14:22:24,877:INFO:SubProcess create_model() called ==================================
  2793. 2022-01-17 14:22:24,877:INFO:Initializing create_model()
  2794. 2022-01-17 14:22:24,877:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2795. 2022-01-17 14:22:24,878:INFO:Checking exceptions
  2796. 2022-01-17 14:22:24,878:INFO:Importing libraries
  2797. 2022-01-17 14:22:24,878:INFO:Copying training dataset
  2798. 2022-01-17 14:22:24,879:INFO:Defining folds
  2799. 2022-01-17 14:22:24,879:INFO:Declaring metric variables
  2800. 2022-01-17 14:22:24,885:INFO:Importing untrained model
  2801. 2022-01-17 14:22:24,890:INFO:Naive Bayes Imported succesfully
  2802. 2022-01-17 14:22:24,900:INFO:Starting cross validation
  2803. 2022-01-17 14:22:24,901:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2804. 2022-01-17 14:22:25,010:INFO:Calculating mean and std
  2805. 2022-01-17 14:22:25,010:INFO:Creating metrics dataframe
  2806. 2022-01-17 14:22:25,013:INFO:Uploading results into container
  2807. 2022-01-17 14:22:25,013:INFO:Uploading model into container now
  2808. 2022-01-17 14:22:25,013:INFO:create_model_container: 3
  2809. 2022-01-17 14:22:25,014:INFO:master_model_container: 3
  2810. 2022-01-17 14:22:25,014:INFO:display_container: 2
  2811. 2022-01-17 14:22:25,014:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  2812. 2022-01-17 14:22:25,014:INFO:create_model() succesfully completed......................................
  2813. 2022-01-17 14:22:25,079:INFO:SubProcess create_model() end ==================================
  2814. 2022-01-17 14:22:25,079:INFO:Creating metrics dataframe
  2815. 2022-01-17 14:22:25,090:INFO:Initializing Decision Tree Classifier
  2816. 2022-01-17 14:22:25,090:INFO:Total runtime is 0.12867645819981893 minutes
  2817. 2022-01-17 14:22:25,095:INFO:SubProcess create_model() called ==================================
  2818. 2022-01-17 14:22:25,096:INFO:Initializing create_model()
  2819. 2022-01-17 14:22:25,096:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2820. 2022-01-17 14:22:25,096:INFO:Checking exceptions
  2821. 2022-01-17 14:22:25,096:INFO:Importing libraries
  2822. 2022-01-17 14:22:25,096:INFO:Copying training dataset
  2823. 2022-01-17 14:22:25,097:INFO:Defining folds
  2824. 2022-01-17 14:22:25,097:INFO:Declaring metric variables
  2825. 2022-01-17 14:22:25,102:INFO:Importing untrained model
  2826. 2022-01-17 14:22:25,107:INFO:Decision Tree Classifier Imported succesfully
  2827. 2022-01-17 14:22:25,117:INFO:Starting cross validation
  2828. 2022-01-17 14:22:25,118:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2829. 2022-01-17 14:22:25,365:INFO:Calculating mean and std
  2830. 2022-01-17 14:22:25,366:INFO:Creating metrics dataframe
  2831. 2022-01-17 14:22:25,368:INFO:Uploading results into container
  2832. 2022-01-17 14:22:25,368:INFO:Uploading model into container now
  2833. 2022-01-17 14:22:25,369:INFO:create_model_container: 4
  2834. 2022-01-17 14:22:25,369:INFO:master_model_container: 4
  2835. 2022-01-17 14:22:25,369:INFO:display_container: 2
  2836. 2022-01-17 14:22:25,369:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  2837. max_depth=None, max_features=None, max_leaf_nodes=None,
  2838. min_impurity_decrease=0.0, min_impurity_split=None,
  2839. min_samples_leaf=1, min_samples_split=2,
  2840. min_weight_fraction_leaf=0.0, presort='deprecated',
  2841. random_state=4642, splitter='best')
  2842. 2022-01-17 14:22:25,369:INFO:create_model() succesfully completed......................................
  2843. 2022-01-17 14:22:25,435:INFO:SubProcess create_model() end ==================================
  2844. 2022-01-17 14:22:25,436:INFO:Creating metrics dataframe
  2845. 2022-01-17 14:22:25,447:INFO:Initializing SVM - Linear Kernel
  2846. 2022-01-17 14:22:25,447:INFO:Total runtime is 0.13463132778803508 minutes
  2847. 2022-01-17 14:22:25,452:INFO:SubProcess create_model() called ==================================
  2848. 2022-01-17 14:22:25,452:INFO:Initializing create_model()
  2849. 2022-01-17 14:22:25,453:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2850. 2022-01-17 14:22:25,453:INFO:Checking exceptions
  2851. 2022-01-17 14:22:25,453:INFO:Importing libraries
  2852. 2022-01-17 14:22:25,453:INFO:Copying training dataset
  2853. 2022-01-17 14:22:25,454:INFO:Defining folds
  2854. 2022-01-17 14:22:25,454:INFO:Declaring metric variables
  2855. 2022-01-17 14:22:25,458:INFO:Importing untrained model
  2856. 2022-01-17 14:22:25,464:INFO:SVM - Linear Kernel Imported succesfully
  2857. 2022-01-17 14:22:25,474:INFO:Starting cross validation
  2858. 2022-01-17 14:22:25,474:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2859. 2022-01-17 14:22:26,094:INFO:Calculating mean and std
  2860. 2022-01-17 14:22:26,095:INFO:Creating metrics dataframe
  2861. 2022-01-17 14:22:26,102:INFO:Uploading results into container
  2862. 2022-01-17 14:22:26,103:INFO:Uploading model into container now
  2863. 2022-01-17 14:22:26,103:INFO:create_model_container: 5
  2864. 2022-01-17 14:22:26,103:INFO:master_model_container: 5
  2865. 2022-01-17 14:22:26,103:INFO:display_container: 2
  2866. 2022-01-17 14:22:26,105:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  2867. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  2868. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  2869. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  2870. power_t=0.5, random_state=4642, shuffle=True, tol=0.001,
  2871. validation_fraction=0.1, verbose=0, warm_start=False)
  2872. 2022-01-17 14:22:26,105:INFO:create_model() succesfully completed......................................
  2873. 2022-01-17 14:22:26,189:INFO:SubProcess create_model() end ==================================
  2874. 2022-01-17 14:22:26,189:INFO:Creating metrics dataframe
  2875. 2022-01-17 14:22:26,201:INFO:Initializing Ridge Classifier
  2876. 2022-01-17 14:22:26,201:INFO:Total runtime is 0.14719861348470054 minutes
  2877. 2022-01-17 14:22:26,206:INFO:SubProcess create_model() called ==================================
  2878. 2022-01-17 14:22:26,207:INFO:Initializing create_model()
  2879. 2022-01-17 14:22:26,207:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2880. 2022-01-17 14:22:26,207:INFO:Checking exceptions
  2881. 2022-01-17 14:22:26,207:INFO:Importing libraries
  2882. 2022-01-17 14:22:26,207:INFO:Copying training dataset
  2883. 2022-01-17 14:22:26,208:INFO:Defining folds
  2884. 2022-01-17 14:22:26,208:INFO:Declaring metric variables
  2885. 2022-01-17 14:22:26,213:INFO:Importing untrained model
  2886. 2022-01-17 14:22:26,218:INFO:Ridge Classifier Imported succesfully
  2887. 2022-01-17 14:22:26,227:INFO:Starting cross validation
  2888. 2022-01-17 14:22:26,228:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2889. 2022-01-17 14:22:26,585:INFO:Calculating mean and std
  2890. 2022-01-17 14:22:26,586:INFO:Creating metrics dataframe
  2891. 2022-01-17 14:22:26,589:INFO:Uploading results into container
  2892. 2022-01-17 14:22:26,590:INFO:Uploading model into container now
  2893. 2022-01-17 14:22:26,590:INFO:create_model_container: 6
  2894. 2022-01-17 14:22:26,590:INFO:master_model_container: 6
  2895. 2022-01-17 14:22:26,590:INFO:display_container: 2
  2896. 2022-01-17 14:22:26,591:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  2897. max_iter=None, normalize=False, random_state=4642,
  2898. solver='auto', tol=0.001)
  2899. 2022-01-17 14:22:26,591:INFO:create_model() succesfully completed......................................
  2900. 2022-01-17 14:22:26,698:INFO:SubProcess create_model() end ==================================
  2901. 2022-01-17 14:22:26,698:INFO:Creating metrics dataframe
  2902. 2022-01-17 14:22:26,709:INFO:Initializing Random Forest Classifier
  2903. 2022-01-17 14:22:26,710:INFO:Total runtime is 0.15567574898401898 minutes
  2904. 2022-01-17 14:22:26,715:INFO:SubProcess create_model() called ==================================
  2905. 2022-01-17 14:22:26,715:INFO:Initializing create_model()
  2906. 2022-01-17 14:22:26,715:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2907. 2022-01-17 14:22:26,715:INFO:Checking exceptions
  2908. 2022-01-17 14:22:26,716:INFO:Importing libraries
  2909. 2022-01-17 14:22:26,716:INFO:Copying training dataset
  2910. 2022-01-17 14:22:26,716:INFO:Defining folds
  2911. 2022-01-17 14:22:26,717:INFO:Declaring metric variables
  2912. 2022-01-17 14:22:26,721:INFO:Importing untrained model
  2913. 2022-01-17 14:22:26,726:INFO:Random Forest Classifier Imported succesfully
  2914. 2022-01-17 14:22:26,736:INFO:Starting cross validation
  2915. 2022-01-17 14:22:26,737:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2916. 2022-01-17 14:22:32,411:INFO:Calculating mean and std
  2917. 2022-01-17 14:22:32,412:INFO:Creating metrics dataframe
  2918. 2022-01-17 14:22:32,415:INFO:Uploading results into container
  2919. 2022-01-17 14:22:32,415:INFO:Uploading model into container now
  2920. 2022-01-17 14:22:32,415:INFO:create_model_container: 7
  2921. 2022-01-17 14:22:32,415:INFO:master_model_container: 7
  2922. 2022-01-17 14:22:32,416:INFO:display_container: 2
  2923. 2022-01-17 14:22:32,416:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2924. criterion='gini', max_depth=None, max_features='auto',
  2925. max_leaf_nodes=None, max_samples=None,
  2926. min_impurity_decrease=0.0, min_impurity_split=None,
  2927. min_samples_leaf=1, min_samples_split=2,
  2928. min_weight_fraction_leaf=0.0, n_estimators=100,
  2929. n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
  2930. warm_start=False)
  2931. 2022-01-17 14:22:32,416:INFO:create_model() succesfully completed......................................
  2932. 2022-01-17 14:22:32,488:INFO:SubProcess create_model() end ==================================
  2933. 2022-01-17 14:22:32,488:INFO:Creating metrics dataframe
  2934. 2022-01-17 14:22:32,499:INFO:Initializing Quadratic Discriminant Analysis
  2935. 2022-01-17 14:22:32,500:INFO:Total runtime is 0.25217552185058595 minutes
  2936. 2022-01-17 14:22:32,505:INFO:SubProcess create_model() called ==================================
  2937. 2022-01-17 14:22:32,505:INFO:Initializing create_model()
  2938. 2022-01-17 14:22:32,505:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2939. 2022-01-17 14:22:32,506:INFO:Checking exceptions
  2940. 2022-01-17 14:22:32,506:INFO:Importing libraries
  2941. 2022-01-17 14:22:32,506:INFO:Copying training dataset
  2942. 2022-01-17 14:22:32,507:INFO:Defining folds
  2943. 2022-01-17 14:22:32,507:INFO:Declaring metric variables
  2944. 2022-01-17 14:22:32,511:INFO:Importing untrained model
  2945. 2022-01-17 14:22:32,516:INFO:Quadratic Discriminant Analysis Imported succesfully
  2946. 2022-01-17 14:22:32,526:INFO:Starting cross validation
  2947. 2022-01-17 14:22:32,527:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2948. 2022-01-17 14:22:32,870:INFO:Calculating mean and std
  2949. 2022-01-17 14:22:32,871:INFO:Creating metrics dataframe
  2950. 2022-01-17 14:22:32,877:INFO:Uploading results into container
  2951. 2022-01-17 14:22:32,878:INFO:Uploading model into container now
  2952. 2022-01-17 14:22:32,878:INFO:create_model_container: 8
  2953. 2022-01-17 14:22:32,878:INFO:master_model_container: 8
  2954. 2022-01-17 14:22:32,879:INFO:display_container: 2
  2955. 2022-01-17 14:22:32,879:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  2956. store_covariance=False, tol=0.0001)
  2957. 2022-01-17 14:22:32,879:INFO:create_model() succesfully completed......................................
  2958. 2022-01-17 14:22:32,964:INFO:SubProcess create_model() end ==================================
  2959. 2022-01-17 14:22:32,964:INFO:Creating metrics dataframe
  2960. 2022-01-17 14:22:32,976:INFO:Initializing Ada Boost Classifier
  2961. 2022-01-17 14:22:32,976:INFO:Total runtime is 0.2601176619529724 minutes
  2962. 2022-01-17 14:22:32,982:INFO:SubProcess create_model() called ==================================
  2963. 2022-01-17 14:22:32,982:INFO:Initializing create_model()
  2964. 2022-01-17 14:22:32,982:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2965. 2022-01-17 14:22:32,983:INFO:Checking exceptions
  2966. 2022-01-17 14:22:32,983:INFO:Importing libraries
  2967. 2022-01-17 14:22:32,983:INFO:Copying training dataset
  2968. 2022-01-17 14:22:32,984:INFO:Defining folds
  2969. 2022-01-17 14:22:32,984:INFO:Declaring metric variables
  2970. 2022-01-17 14:22:32,989:INFO:Importing untrained model
  2971. 2022-01-17 14:22:32,993:INFO:Ada Boost Classifier Imported succesfully
  2972. 2022-01-17 14:22:33,004:INFO:Starting cross validation
  2973. 2022-01-17 14:22:33,004:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2974. 2022-01-17 14:22:35,248:INFO:Calculating mean and std
  2975. 2022-01-17 14:22:35,249:INFO:Creating metrics dataframe
  2976. 2022-01-17 14:22:35,252:INFO:Uploading results into container
  2977. 2022-01-17 14:22:35,252:INFO:Uploading model into container now
  2978. 2022-01-17 14:22:35,252:INFO:create_model_container: 9
  2979. 2022-01-17 14:22:35,252:INFO:master_model_container: 9
  2980. 2022-01-17 14:22:35,252:INFO:display_container: 2
  2981. 2022-01-17 14:22:35,253:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  2982. n_estimators=50, random_state=4642)
  2983. 2022-01-17 14:22:35,253:INFO:create_model() succesfully completed......................................
  2984. 2022-01-17 14:22:35,323:INFO:SubProcess create_model() end ==================================
  2985. 2022-01-17 14:22:35,323:INFO:Creating metrics dataframe
  2986. 2022-01-17 14:22:35,335:INFO:Initializing Gradient Boosting Classifier
  2987. 2022-01-17 14:22:35,335:INFO:Total runtime is 0.29943839311599735 minutes
  2988. 2022-01-17 14:22:35,341:INFO:SubProcess create_model() called ==================================
  2989. 2022-01-17 14:22:35,341:INFO:Initializing create_model()
  2990. 2022-01-17 14:22:35,342:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2991. 2022-01-17 14:22:35,342:INFO:Checking exceptions
  2992. 2022-01-17 14:22:35,342:INFO:Importing libraries
  2993. 2022-01-17 14:22:35,342:INFO:Copying training dataset
  2994. 2022-01-17 14:22:35,343:INFO:Defining folds
  2995. 2022-01-17 14:22:35,344:INFO:Declaring metric variables
  2996. 2022-01-17 14:22:35,349:INFO:Importing untrained model
  2997. 2022-01-17 14:22:35,355:INFO:Gradient Boosting Classifier Imported succesfully
  2998. 2022-01-17 14:22:35,367:INFO:Starting cross validation
  2999. 2022-01-17 14:22:35,368:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3000. 2022-01-17 14:22:41,628:INFO:Calculating mean and std
  3001. 2022-01-17 14:22:41,629:INFO:Creating metrics dataframe
  3002. 2022-01-17 14:22:41,632:INFO:Uploading results into container
  3003. 2022-01-17 14:22:41,632:INFO:Uploading model into container now
  3004. 2022-01-17 14:22:41,632:INFO:create_model_container: 10
  3005. 2022-01-17 14:22:41,632:INFO:master_model_container: 10
  3006. 2022-01-17 14:22:41,632:INFO:display_container: 2
  3007. 2022-01-17 14:22:41,633:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  3008. learning_rate=0.1, loss='deviance', max_depth=3,
  3009. max_features=None, max_leaf_nodes=None,
  3010. min_impurity_decrease=0.0, min_impurity_split=None,
  3011. min_samples_leaf=1, min_samples_split=2,
  3012. min_weight_fraction_leaf=0.0, n_estimators=100,
  3013. n_iter_no_change=None, presort='deprecated',
  3014. random_state=4642, subsample=1.0, tol=0.0001,
  3015. validation_fraction=0.1, verbose=0,
  3016. warm_start=False)
  3017. 2022-01-17 14:22:41,633:INFO:create_model() succesfully completed......................................
  3018. 2022-01-17 14:22:41,701:INFO:SubProcess create_model() end ==================================
  3019. 2022-01-17 14:22:41,701:INFO:Creating metrics dataframe
  3020. 2022-01-17 14:22:41,714:INFO:Initializing Linear Discriminant Analysis
  3021. 2022-01-17 14:22:41,714:INFO:Total runtime is 0.40575410525004074 minutes
  3022. 2022-01-17 14:22:41,720:INFO:SubProcess create_model() called ==================================
  3023. 2022-01-17 14:22:41,720:INFO:Initializing create_model()
  3024. 2022-01-17 14:22:41,720:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  3025. 2022-01-17 14:22:41,720:INFO:Checking exceptions
  3026. 2022-01-17 14:22:41,721:INFO:Importing libraries
  3027. 2022-01-17 14:22:41,721:INFO:Copying training dataset
  3028. 2022-01-17 14:22:41,721:INFO:Defining folds
  3029. 2022-01-17 14:22:41,722:INFO:Declaring metric variables
  3030. 2022-01-17 14:22:41,726:INFO:Importing untrained model
  3031. 2022-01-17 14:22:41,731:INFO:Linear Discriminant Analysis Imported succesfully
  3032. 2022-01-17 14:22:41,741:INFO:Starting cross validation
  3033. 2022-01-17 14:22:41,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3034. 2022-01-17 14:22:42,641:INFO:Calculating mean and std
  3035. 2022-01-17 14:22:42,646:INFO:Creating metrics dataframe
  3036. 2022-01-17 14:22:42,652:INFO:Uploading results into container
  3037. 2022-01-17 14:22:42,653:INFO:Uploading model into container now
  3038. 2022-01-17 14:22:42,653:INFO:create_model_container: 11
  3039. 2022-01-17 14:22:42,653:INFO:master_model_container: 11
  3040. 2022-01-17 14:22:42,653:INFO:display_container: 2
  3041. 2022-01-17 14:22:42,653:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  3042. solver='svd', store_covariance=False, tol=0.0001)
  3043. 2022-01-17 14:22:42,654:INFO:create_model() succesfully completed......................................
  3044. 2022-01-17 14:22:42,749:INFO:SubProcess create_model() end ==================================
  3045. 2022-01-17 14:22:42,750:INFO:Creating metrics dataframe
  3046. 2022-01-17 14:22:42,762:INFO:Initializing Extra Trees Classifier
  3047. 2022-01-17 14:22:42,762:INFO:Total runtime is 0.4232224543889364 minutes
  3048. 2022-01-17 14:22:42,768:INFO:SubProcess create_model() called ==================================
  3049. 2022-01-17 14:22:42,768:INFO:Initializing create_model()
  3050. 2022-01-17 14:22:42,768:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  3051. 2022-01-17 14:22:42,769:INFO:Checking exceptions
  3052. 2022-01-17 14:22:42,769:INFO:Importing libraries
  3053. 2022-01-17 14:22:42,769:INFO:Copying training dataset
  3054. 2022-01-17 14:22:42,770:INFO:Defining folds
  3055. 2022-01-17 14:22:42,770:INFO:Declaring metric variables
  3056. 2022-01-17 14:22:42,775:INFO:Importing untrained model
  3057. 2022-01-17 14:22:42,780:INFO:Extra Trees Classifier Imported succesfully
  3058. 2022-01-17 14:22:42,790:INFO:Starting cross validation
  3059. 2022-01-17 14:22:42,790:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3060. 2022-01-17 14:22:48,528:INFO:Calculating mean and std
  3061. 2022-01-17 14:22:48,529:INFO:Creating metrics dataframe
  3062. 2022-01-17 14:22:48,532:INFO:Uploading results into container
  3063. 2022-01-17 14:22:48,532:INFO:Uploading model into container now
  3064. 2022-01-17 14:22:48,532:INFO:create_model_container: 12
  3065. 2022-01-17 14:22:48,532:INFO:master_model_container: 12
  3066. 2022-01-17 14:22:48,532:INFO:display_container: 2
  3067. 2022-01-17 14:22:48,533:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  3068. criterion='gini', max_depth=None, max_features='auto',
  3069. max_leaf_nodes=None, max_samples=None,
  3070. min_impurity_decrease=0.0, min_impurity_split=None,
  3071. min_samples_leaf=1, min_samples_split=2,
  3072. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  3073. oob_score=False, random_state=4642, verbose=0,
  3074. warm_start=False)
  3075. 2022-01-17 14:22:48,533:INFO:create_model() succesfully completed......................................
  3076. 2022-01-17 14:22:48,601:INFO:SubProcess create_model() end ==================================
  3077. 2022-01-17 14:22:48,601:INFO:Creating metrics dataframe
  3078. 2022-01-17 14:22:48,614:INFO:Initializing Light Gradient Boosting Machine
  3079. 2022-01-17 14:22:48,614:INFO:Total runtime is 0.5207454482714335 minutes
  3080. 2022-01-17 14:22:48,619:INFO:SubProcess create_model() called ==================================
  3081. 2022-01-17 14:22:48,619:INFO:Initializing create_model()
  3082. 2022-01-17 14:22:48,620:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  3083. 2022-01-17 14:22:48,620:INFO:Checking exceptions
  3084. 2022-01-17 14:22:48,620:INFO:Importing libraries
  3085. 2022-01-17 14:22:48,620:INFO:Copying training dataset
  3086. 2022-01-17 14:22:48,621:INFO:Defining folds
  3087. 2022-01-17 14:22:48,621:INFO:Declaring metric variables
  3088. 2022-01-17 14:22:48,626:INFO:Importing untrained model
  3089. 2022-01-17 14:22:48,631:INFO:Light Gradient Boosting Machine Imported succesfully
  3090. 2022-01-17 14:22:48,642:INFO:Starting cross validation
  3091. 2022-01-17 14:22:48,642:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3092. 2022-01-17 14:22:50,245:INFO:Calculating mean and std
  3093. 2022-01-17 14:22:50,246:INFO:Creating metrics dataframe
  3094. 2022-01-17 14:22:50,249:INFO:Uploading results into container
  3095. 2022-01-17 14:22:50,249:INFO:Uploading model into container now
  3096. 2022-01-17 14:22:50,250:INFO:create_model_container: 13
  3097. 2022-01-17 14:22:50,250:INFO:master_model_container: 13
  3098. 2022-01-17 14:22:50,250:INFO:display_container: 2
  3099. 2022-01-17 14:22:50,250:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  3100. importance_type='split', learning_rate=0.1, max_depth=-1,
  3101. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  3102. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  3103. random_state=4642, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  3104. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  3105. 2022-01-17 14:22:50,250:INFO:create_model() succesfully completed......................................
  3106. 2022-01-17 14:22:50,314:INFO:SubProcess create_model() end ==================================
  3107. 2022-01-17 14:22:50,314:INFO:Creating metrics dataframe
  3108. 2022-01-17 14:22:50,327:INFO:Initializing Dummy Classifier
  3109. 2022-01-17 14:22:50,327:INFO:Total runtime is 0.5493064363797506 minutes
  3110. 2022-01-17 14:22:50,333:INFO:SubProcess create_model() called ==================================
  3111. 2022-01-17 14:22:50,333:INFO:Initializing create_model()
  3112. 2022-01-17 14:22:50,333:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  3113. 2022-01-17 14:22:50,334:INFO:Checking exceptions
  3114. 2022-01-17 14:22:50,334:INFO:Importing libraries
  3115. 2022-01-17 14:22:50,334:INFO:Copying training dataset
  3116. 2022-01-17 14:22:50,335:INFO:Defining folds
  3117. 2022-01-17 14:22:50,335:INFO:Declaring metric variables
  3118. 2022-01-17 14:22:50,339:INFO:Importing untrained model
  3119. 2022-01-17 14:22:50,344:INFO:Dummy Classifier Imported succesfully
  3120. 2022-01-17 14:22:50,354:INFO:Starting cross validation
  3121. 2022-01-17 14:22:50,355:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3122. 2022-01-17 14:22:50,416:INFO:Calculating mean and std
  3123. 2022-01-17 14:22:50,417:INFO:Creating metrics dataframe
  3124. 2022-01-17 14:22:50,419:INFO:Uploading results into container
  3125. 2022-01-17 14:22:50,419:INFO:Uploading model into container now
  3126. 2022-01-17 14:22:50,420:INFO:create_model_container: 14
  3127. 2022-01-17 14:22:50,420:INFO:master_model_container: 14
  3128. 2022-01-17 14:22:50,420:INFO:display_container: 2
  3129. 2022-01-17 14:22:50,420:INFO:DummyClassifier(constant=None, random_state=4642, strategy='prior')
  3130. 2022-01-17 14:22:50,420:INFO:create_model() succesfully completed......................................
  3131. 2022-01-17 14:22:50,488:INFO:SubProcess create_model() end ==================================
  3132. 2022-01-17 14:22:50,488:INFO:Creating metrics dataframe
  3133. 2022-01-17 14:22:50,513:INFO:Initializing create_model()
  3134. 2022-01-17 14:22:50,514:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  3135. criterion='gini', max_depth=None, max_features='auto',
  3136. max_leaf_nodes=None, max_samples=None,
  3137. min_impurity_decrease=0.0, min_impurity_split=None,
  3138. min_samples_leaf=1, min_samples_split=2,
  3139. min_weight_fraction_leaf=0.0, n_estimators=100,
  3140. n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
  3141. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  3142. 2022-01-17 14:22:50,514:INFO:Checking exceptions
  3143. 2022-01-17 14:22:50,514:INFO:Importing libraries
  3144. 2022-01-17 14:22:50,514:INFO:Copying training dataset
  3145. 2022-01-17 14:22:50,515:INFO:Defining folds
  3146. 2022-01-17 14:22:50,515:INFO:Declaring metric variables
  3147. 2022-01-17 14:22:50,515:INFO:Importing untrained model
  3148. 2022-01-17 14:22:50,515:INFO:Declaring custom model
  3149. 2022-01-17 14:22:50,516:INFO:Random Forest Classifier Imported succesfully
  3150. 2022-01-17 14:22:50,516:INFO:Cross validation set to False
  3151. 2022-01-17 14:22:50,516:INFO:Fitting Model
  3152. 2022-01-17 14:22:50,801:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  3153. criterion='gini', max_depth=None, max_features='auto',
  3154. max_leaf_nodes=None, max_samples=None,
  3155. min_impurity_decrease=0.0, min_impurity_split=None,
  3156. min_samples_leaf=1, min_samples_split=2,
  3157. min_weight_fraction_leaf=0.0, n_estimators=100,
  3158. n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
  3159. warm_start=False)
  3160. 2022-01-17 14:22:50,801:INFO:create_models() succesfully completed......................................
  3161. 2022-01-17 14:22:50,901:INFO:create_model_container: 14
  3162. 2022-01-17 14:22:50,902:INFO:master_model_container: 14
  3163. 2022-01-17 14:22:50,902:INFO:display_container: 2
  3164. 2022-01-17 14:22:50,902:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  3165. criterion='gini', max_depth=None, max_features='auto',
  3166. max_leaf_nodes=None, max_samples=None,
  3167. min_impurity_decrease=0.0, min_impurity_split=None,
  3168. min_samples_leaf=1, min_samples_split=2,
  3169. min_weight_fraction_leaf=0.0, n_estimators=100,
  3170. n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
  3171. warm_start=False)
  3172. 2022-01-17 14:22:50,902:INFO:compare_models() succesfully completed......................................
  3173. 2022-01-17 14:23:54,486:INFO:Initializing create_model()
  3174. 2022-01-17 14:23:54,486:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  3175. 2022-01-17 14:23:54,487:INFO:Checking exceptions
  3176. 2022-01-17 14:23:54,487:INFO:Preparing display monitor
  3177. 2022-01-17 14:23:54,498:INFO:Importing libraries
  3178. 2022-01-17 14:23:54,498:INFO:Copying training dataset
  3179. 2022-01-17 14:23:54,499:INFO:Defining folds
  3180. 2022-01-17 14:23:54,499:INFO:Declaring metric variables
  3181. 2022-01-17 14:23:54,504:INFO:Importing untrained model
  3182. 2022-01-17 14:23:54,509:INFO:Decision Tree Classifier Imported succesfully
  3183. 2022-01-17 14:23:54,520:INFO:Starting cross validation
  3184. 2022-01-17 14:23:54,520:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3185. 2022-01-17 14:23:54,773:INFO:Calculating mean and std
  3186. 2022-01-17 14:23:54,774:INFO:Creating metrics dataframe
  3187. 2022-01-17 14:23:54,783:INFO:Finalizing model
  3188. 2022-01-17 14:23:54,805:INFO:Uploading results into container
  3189. 2022-01-17 14:23:54,805:INFO:Uploading model into container now
  3190. 2022-01-17 14:23:54,814:INFO:create_model_container: 15
  3191. 2022-01-17 14:23:54,815:INFO:master_model_container: 15
  3192. 2022-01-17 14:23:54,815:INFO:display_container: 3
  3193. 2022-01-17 14:23:54,815:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3194. max_depth=None, max_features=None, max_leaf_nodes=None,
  3195. min_impurity_decrease=0.0, min_impurity_split=None,
  3196. min_samples_leaf=1, min_samples_split=2,
  3197. min_weight_fraction_leaf=0.0, presort='deprecated',
  3198. random_state=4642, splitter='best')
  3199. 2022-01-17 14:23:54,815:INFO:create_model() succesfully completed......................................
  3200. 2022-01-17 14:23:58,352:INFO:Initializing tune_model()
  3201. 2022-01-17 14:23:58,352:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3202. max_depth=None, max_features=None, max_leaf_nodes=None,
  3203. min_impurity_decrease=0.0, min_impurity_split=None,
  3204. min_samples_leaf=1, min_samples_split=2,
  3205. min_weight_fraction_leaf=0.0, presort='deprecated',
  3206. random_state=4642, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  3207. 2022-01-17 14:23:58,353:INFO:Checking exceptions
  3208. 2022-01-17 14:23:58,353:INFO:Preparing display monitor
  3209. 2022-01-17 14:23:58,364:INFO:Copying training dataset
  3210. 2022-01-17 14:23:58,365:INFO:Checking base model
  3211. 2022-01-17 14:23:58,366:INFO:Base model : Decision Tree Classifier
  3212. 2022-01-17 14:23:58,371:INFO:Declaring metric variables
  3213. 2022-01-17 14:23:58,376:INFO:Defining Hyperparameters
  3214. 2022-01-17 14:23:58,454:INFO:Tuning with n_jobs=-1
  3215. 2022-01-17 14:23:58,455:INFO:Initializing RandomizedSearchCV
  3216. 2022-01-17 14:23:59,650:INFO:best_params: {'actual_estimator__min_samples_split': 10, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.001, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 16, 'actual_estimator__criterion': 'entropy'}
  3217. 2022-01-17 14:23:59,651:INFO:Hyperparameter search completed
  3218. 2022-01-17 14:23:59,651:INFO:SubProcess create_model() called ==================================
  3219. 2022-01-17 14:23:59,652:INFO:Initializing create_model()
  3220. 2022-01-17 14:23:59,652:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3221. max_depth=None, max_features=None, max_leaf_nodes=None,
  3222. min_impurity_decrease=0.0, min_impurity_split=None,
  3223. min_samples_leaf=1, min_samples_split=2,
  3224. min_weight_fraction_leaf=0.0, presort='deprecated',
  3225. random_state=4642, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd992869d30>, kwargs={'min_samples_split': 10, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.001, 'max_features': 1.0, 'max_depth': 16, 'criterion': 'entropy'})
  3226. 2022-01-17 14:23:59,652:INFO:Checking exceptions
  3227. 2022-01-17 14:23:59,652:INFO:Importing libraries
  3228. 2022-01-17 14:23:59,652:INFO:Copying training dataset
  3229. 2022-01-17 14:23:59,653:INFO:Defining folds
  3230. 2022-01-17 14:23:59,653:INFO:Declaring metric variables
  3231. 2022-01-17 14:23:59,659:INFO:Importing untrained model
  3232. 2022-01-17 14:23:59,659:INFO:Declaring custom model
  3233. 2022-01-17 14:23:59,664:INFO:Decision Tree Classifier Imported succesfully
  3234. 2022-01-17 14:23:59,675:INFO:Starting cross validation
  3235. 2022-01-17 14:23:59,675:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3236. 2022-01-17 14:23:59,872:INFO:Calculating mean and std
  3237. 2022-01-17 14:23:59,873:INFO:Creating metrics dataframe
  3238. 2022-01-17 14:23:59,880:INFO:Finalizing model
  3239. 2022-01-17 14:23:59,895:INFO:Uploading results into container
  3240. 2022-01-17 14:23:59,895:INFO:Uploading model into container now
  3241. 2022-01-17 14:23:59,895:INFO:create_model_container: 16
  3242. 2022-01-17 14:23:59,895:INFO:master_model_container: 16
  3243. 2022-01-17 14:23:59,896:INFO:display_container: 4
  3244. 2022-01-17 14:23:59,896:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  3245. max_depth=16, max_features=1.0, max_leaf_nodes=None,
  3246. min_impurity_decrease=0.001, min_impurity_split=None,
  3247. min_samples_leaf=5, min_samples_split=10,
  3248. min_weight_fraction_leaf=0.0, presort='deprecated',
  3249. random_state=4642, splitter='best')
  3250. 2022-01-17 14:23:59,896:INFO:create_model() succesfully completed......................................
  3251. 2022-01-17 14:23:59,964:INFO:SubProcess create_model() end ==================================
  3252. 2022-01-17 14:23:59,973:INFO:create_model_container: 16
  3253. 2022-01-17 14:23:59,974:INFO:master_model_container: 16
  3254. 2022-01-17 14:23:59,974:INFO:display_container: 4
  3255. 2022-01-17 14:23:59,974:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  3256. max_depth=16, max_features=1.0, max_leaf_nodes=None,
  3257. min_impurity_decrease=0.001, min_impurity_split=None,
  3258. min_samples_leaf=5, min_samples_split=10,
  3259. min_weight_fraction_leaf=0.0, presort='deprecated',
  3260. random_state=4642, splitter='best')
  3261. 2022-01-17 14:23:59,974:INFO:tune_model() succesfully completed......................................
  3262. 2022-01-17 14:24:05,989:INFO:Initializing create_model()
  3263. 2022-01-17 14:24:05,990:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  3264. 2022-01-17 14:24:05,990:INFO:Checking exceptions
  3265. 2022-01-17 14:24:05,990:INFO:Preparing display monitor
  3266. 2022-01-17 14:24:06,002:INFO:Importing libraries
  3267. 2022-01-17 14:24:06,002:INFO:Copying training dataset
  3268. 2022-01-17 14:24:06,003:INFO:Defining folds
  3269. 2022-01-17 14:24:06,003:INFO:Declaring metric variables
  3270. 2022-01-17 14:24:06,008:INFO:Importing untrained model
  3271. 2022-01-17 14:24:06,013:INFO:Decision Tree Classifier Imported succesfully
  3272. 2022-01-17 14:24:06,023:INFO:Starting cross validation
  3273. 2022-01-17 14:24:06,024:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3274. 2022-01-17 14:24:06,275:INFO:Calculating mean and std
  3275. 2022-01-17 14:24:06,276:INFO:Creating metrics dataframe
  3276. 2022-01-17 14:24:06,283:INFO:Finalizing model
  3277. 2022-01-17 14:24:06,304:INFO:Uploading results into container
  3278. 2022-01-17 14:24:06,305:INFO:Uploading model into container now
  3279. 2022-01-17 14:24:06,315:INFO:create_model_container: 17
  3280. 2022-01-17 14:24:06,315:INFO:master_model_container: 17
  3281. 2022-01-17 14:24:06,315:INFO:display_container: 5
  3282. 2022-01-17 14:24:06,315:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3283. max_depth=None, max_features=None, max_leaf_nodes=None,
  3284. min_impurity_decrease=0.0, min_impurity_split=None,
  3285. min_samples_leaf=1, min_samples_split=2,
  3286. min_weight_fraction_leaf=0.0, presort='deprecated',
  3287. random_state=4642, splitter='best')
  3288. 2022-01-17 14:24:06,316:INFO:create_model() succesfully completed......................................
  3289. 2022-01-17 14:24:09,698:INFO:Initializing evaluate_model()
  3290. 2022-01-17 14:24:09,699:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3291. max_depth=None, max_features=None, max_leaf_nodes=None,
  3292. min_impurity_decrease=0.0, min_impurity_split=None,
  3293. min_samples_leaf=1, min_samples_split=2,
  3294. min_weight_fraction_leaf=0.0, presort='deprecated',
  3295. random_state=4642, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  3296. 2022-01-17 14:24:09,711:INFO:Initializing plot_model()
  3297. 2022-01-17 14:24:09,711:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3298. max_depth=None, max_features=None, max_leaf_nodes=None,
  3299. min_impurity_decrease=0.0, min_impurity_split=None,
  3300. min_samples_leaf=1, min_samples_split=2,
  3301. min_weight_fraction_leaf=0.0, presort='deprecated',
  3302. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  3303. 2022-01-17 14:24:09,712:INFO:Checking exceptions
  3304. 2022-01-17 14:24:09,712:INFO:Preparing display monitor
  3305. 2022-01-17 14:24:09,717:INFO:Preloading libraries
  3306. 2022-01-17 14:24:09,718:INFO:Copying training dataset
  3307. 2022-01-17 14:24:09,718:INFO:Copying test dataset
  3308. 2022-01-17 14:24:09,719:INFO:Plot type: parameter
  3309. 2022-01-17 14:24:09,723:INFO:Visual Rendered Successfully
  3310. 2022-01-17 14:24:09,797:INFO:plot_model() succesfully completed......................................
  3311. 2022-01-17 14:24:11,637:INFO:Initializing plot_model()
  3312. 2022-01-17 14:24:11,637:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3313. max_depth=None, max_features=None, max_leaf_nodes=None,
  3314. min_impurity_decrease=0.0, min_impurity_split=None,
  3315. min_samples_leaf=1, min_samples_split=2,
  3316. min_weight_fraction_leaf=0.0, presort='deprecated',
  3317. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  3318. 2022-01-17 14:24:11,638:INFO:Checking exceptions
  3319. 2022-01-17 14:24:11,638:INFO:Preparing display monitor
  3320. 2022-01-17 14:24:11,642:INFO:Preloading libraries
  3321. 2022-01-17 14:24:11,643:INFO:Copying training dataset
  3322. 2022-01-17 14:24:11,644:INFO:Copying test dataset
  3323. 2022-01-17 14:24:11,644:INFO:Plot type: auc
  3324. 2022-01-17 14:24:11,645:INFO:Initializing get_config()
  3325. 2022-01-17 14:24:11,645:INFO:get_config(variable=prep_pipe)
  3326. 2022-01-17 14:24:11,648:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3327. steps=[('dtypes',
  3328. DataTypes_Auto_infer(categorical_features=[],
  3329. display_types=True, features_todrop=[],
  3330. id_columns=[],
  3331. ml_usecase='classification',
  3332. numerical_features=[], target='label',
  3333. time_features=[])),
  3334. ('imputer',
  3335. Simple_Imputer(categorical_strategy='not_available',
  3336. fill_value_categorical=None,
  3337. fill_value_numerical=None,
  3338. numeric_strate...
  3339. target='label')),
  3340. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3341. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3342. ('dummy', Dummify(target='label')),
  3343. ('fix_perfect', Remove_100(target='label')),
  3344. ('clean_names', Clean_Colum_Names()),
  3345. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3346. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3347. verbose=False)
  3348. 2022-01-17 14:24:11,648:INFO:get_config() succesfully completed......................................
  3349. 2022-01-17 14:24:11,649:INFO:Fitting Model
  3350. 2022-01-17 14:24:11,651:INFO:Scoring test/hold-out set
  3351. 2022-01-17 14:24:11,757:INFO:Visual Rendered Successfully
  3352. 2022-01-17 14:24:11,827:INFO:plot_model() succesfully completed......................................
  3353. 2022-01-17 14:24:13,482:INFO:Initializing plot_model()
  3354. 2022-01-17 14:24:13,483:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3355. max_depth=None, max_features=None, max_leaf_nodes=None,
  3356. min_impurity_decrease=0.0, min_impurity_split=None,
  3357. min_samples_leaf=1, min_samples_split=2,
  3358. min_weight_fraction_leaf=0.0, presort='deprecated',
  3359. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  3360. 2022-01-17 14:24:13,483:INFO:Checking exceptions
  3361. 2022-01-17 14:24:13,484:INFO:Preparing display monitor
  3362. 2022-01-17 14:24:13,487:INFO:Preloading libraries
  3363. 2022-01-17 14:24:13,488:INFO:Copying training dataset
  3364. 2022-01-17 14:24:13,489:INFO:Copying test dataset
  3365. 2022-01-17 14:24:13,489:INFO:Plot type: confusion_matrix
  3366. 2022-01-17 14:24:13,490:INFO:Initializing get_config()
  3367. 2022-01-17 14:24:13,490:INFO:get_config(variable=prep_pipe)
  3368. 2022-01-17 14:24:13,493:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3369. steps=[('dtypes',
  3370. DataTypes_Auto_infer(categorical_features=[],
  3371. display_types=True, features_todrop=[],
  3372. id_columns=[],
  3373. ml_usecase='classification',
  3374. numerical_features=[], target='label',
  3375. time_features=[])),
  3376. ('imputer',
  3377. Simple_Imputer(categorical_strategy='not_available',
  3378. fill_value_categorical=None,
  3379. fill_value_numerical=None,
  3380. numeric_strate...
  3381. target='label')),
  3382. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3383. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3384. ('dummy', Dummify(target='label')),
  3385. ('fix_perfect', Remove_100(target='label')),
  3386. ('clean_names', Clean_Colum_Names()),
  3387. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3388. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3389. verbose=False)
  3390. 2022-01-17 14:24:13,493:INFO:get_config() succesfully completed......................................
  3391. 2022-01-17 14:24:13,494:INFO:Fitting Model
  3392. 2022-01-17 14:24:13,495:INFO:Scoring test/hold-out set
  3393. 2022-01-17 14:24:13,566:INFO:Visual Rendered Successfully
  3394. 2022-01-17 14:24:13,637:INFO:plot_model() succesfully completed......................................
  3395. 2022-01-17 14:24:20,670:INFO:Initializing plot_model()
  3396. 2022-01-17 14:24:20,670:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3397. max_depth=None, max_features=None, max_leaf_nodes=None,
  3398. min_impurity_decrease=0.0, min_impurity_split=None,
  3399. min_samples_leaf=1, min_samples_split=2,
  3400. min_weight_fraction_leaf=0.0, presort='deprecated',
  3401. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  3402. 2022-01-17 14:24:20,670:INFO:Checking exceptions
  3403. 2022-01-17 14:24:20,671:INFO:Preparing display monitor
  3404. 2022-01-17 14:24:20,675:INFO:Preloading libraries
  3405. 2022-01-17 14:24:20,676:INFO:Copying training dataset
  3406. 2022-01-17 14:24:20,676:INFO:Copying test dataset
  3407. 2022-01-17 14:24:20,676:INFO:Plot type: threshold
  3408. 2022-01-17 14:24:20,678:INFO:Fitting Model
  3409. 2022-01-17 14:24:21,766:INFO:Scoring test/hold-out set
  3410. 2022-01-17 14:24:21,929:INFO:Visual Rendered Successfully
  3411. 2022-01-17 14:24:21,996:INFO:plot_model() succesfully completed......................................
  3412. 2022-01-17 14:24:24,082:INFO:Initializing plot_model()
  3413. 2022-01-17 14:24:24,082:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3414. max_depth=None, max_features=None, max_leaf_nodes=None,
  3415. min_impurity_decrease=0.0, min_impurity_split=None,
  3416. min_samples_leaf=1, min_samples_split=2,
  3417. min_weight_fraction_leaf=0.0, presort='deprecated',
  3418. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  3419. 2022-01-17 14:24:24,082:INFO:Checking exceptions
  3420. 2022-01-17 14:24:24,083:INFO:Preparing display monitor
  3421. 2022-01-17 14:24:24,087:INFO:Preloading libraries
  3422. 2022-01-17 14:24:24,087:INFO:Copying training dataset
  3423. 2022-01-17 14:24:24,088:INFO:Copying test dataset
  3424. 2022-01-17 14:24:24,088:INFO:Plot type: pr
  3425. 2022-01-17 14:24:24,089:INFO:Fitting Model
  3426. 2022-01-17 14:24:24,090:INFO:Scoring test/hold-out set
  3427. 2022-01-17 14:24:24,183:INFO:Visual Rendered Successfully
  3428. 2022-01-17 14:24:24,248:INFO:plot_model() succesfully completed......................................
  3429. 2022-01-17 14:24:31,421:INFO:Initializing plot_model()
  3430. 2022-01-17 14:24:31,422:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3431. max_depth=None, max_features=None, max_leaf_nodes=None,
  3432. min_impurity_decrease=0.0, min_impurity_split=None,
  3433. min_samples_leaf=1, min_samples_split=2,
  3434. min_weight_fraction_leaf=0.0, presort='deprecated',
  3435. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  3436. 2022-01-17 14:24:31,422:INFO:Checking exceptions
  3437. 2022-01-17 14:24:31,423:INFO:Preparing display monitor
  3438. 2022-01-17 14:24:31,427:INFO:Preloading libraries
  3439. 2022-01-17 14:24:31,428:INFO:Copying training dataset
  3440. 2022-01-17 14:24:31,428:INFO:Copying test dataset
  3441. 2022-01-17 14:24:31,429:INFO:Plot type: error
  3442. 2022-01-17 14:24:31,430:INFO:Initializing get_config()
  3443. 2022-01-17 14:24:31,430:INFO:get_config(variable=prep_pipe)
  3444. 2022-01-17 14:24:31,433:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3445. steps=[('dtypes',
  3446. DataTypes_Auto_infer(categorical_features=[],
  3447. display_types=True, features_todrop=[],
  3448. id_columns=[],
  3449. ml_usecase='classification',
  3450. numerical_features=[], target='label',
  3451. time_features=[])),
  3452. ('imputer',
  3453. Simple_Imputer(categorical_strategy='not_available',
  3454. fill_value_categorical=None,
  3455. fill_value_numerical=None,
  3456. numeric_strate...
  3457. target='label')),
  3458. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3459. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3460. ('dummy', Dummify(target='label')),
  3461. ('fix_perfect', Remove_100(target='label')),
  3462. ('clean_names', Clean_Colum_Names()),
  3463. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3464. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3465. verbose=False)
  3466. 2022-01-17 14:24:31,433:INFO:get_config() succesfully completed......................................
  3467. 2022-01-17 14:24:31,434:INFO:Fitting Model
  3468. 2022-01-17 14:24:31,435:INFO:Scoring test/hold-out set
  3469. 2022-01-17 14:24:31,520:INFO:Visual Rendered Successfully
  3470. 2022-01-17 14:24:31,593:INFO:plot_model() succesfully completed......................................
  3471. 2022-01-17 14:24:37,681:INFO:Initializing plot_model()
  3472. 2022-01-17 14:24:37,681:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3473. max_depth=None, max_features=None, max_leaf_nodes=None,
  3474. min_impurity_decrease=0.0, min_impurity_split=None,
  3475. min_samples_leaf=1, min_samples_split=2,
  3476. min_weight_fraction_leaf=0.0, presort='deprecated',
  3477. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  3478. 2022-01-17 14:24:37,682:INFO:Checking exceptions
  3479. 2022-01-17 14:24:37,682:INFO:Preparing display monitor
  3480. 2022-01-17 14:24:37,686:INFO:Preloading libraries
  3481. 2022-01-17 14:24:37,687:INFO:Copying training dataset
  3482. 2022-01-17 14:24:37,687:INFO:Copying test dataset
  3483. 2022-01-17 14:24:37,688:INFO:Plot type: class_report
  3484. 2022-01-17 14:24:37,688:INFO:Initializing get_config()
  3485. 2022-01-17 14:24:37,689:INFO:get_config(variable=prep_pipe)
  3486. 2022-01-17 14:24:37,692:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3487. steps=[('dtypes',
  3488. DataTypes_Auto_infer(categorical_features=[],
  3489. display_types=True, features_todrop=[],
  3490. id_columns=[],
  3491. ml_usecase='classification',
  3492. numerical_features=[], target='label',
  3493. time_features=[])),
  3494. ('imputer',
  3495. Simple_Imputer(categorical_strategy='not_available',
  3496. fill_value_categorical=None,
  3497. fill_value_numerical=None,
  3498. numeric_strate...
  3499. target='label')),
  3500. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3501. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3502. ('dummy', Dummify(target='label')),
  3503. ('fix_perfect', Remove_100(target='label')),
  3504. ('clean_names', Clean_Colum_Names()),
  3505. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3506. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3507. verbose=False)
  3508. 2022-01-17 14:24:37,692:INFO:get_config() succesfully completed......................................
  3509. 2022-01-17 14:24:37,692:INFO:Fitting Model
  3510. 2022-01-17 14:24:37,693:INFO:Scoring test/hold-out set
  3511. 2022-01-17 14:24:37,806:INFO:Visual Rendered Successfully
  3512. 2022-01-17 14:24:37,875:INFO:plot_model() succesfully completed......................................
  3513. 2022-01-17 14:25:49,619:INFO:Initializing plot_model()
  3514. 2022-01-17 14:25:49,619:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3515. max_depth=None, max_features=None, max_leaf_nodes=None,
  3516. min_impurity_decrease=0.0, min_impurity_split=None,
  3517. min_samples_leaf=1, min_samples_split=2,
  3518. min_weight_fraction_leaf=0.0, presort='deprecated',
  3519. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=learning, plot_kwargs={}, save=False, scale=1, system=True)
  3520. 2022-01-17 14:25:49,619:INFO:Checking exceptions
  3521. 2022-01-17 14:25:49,620:INFO:Preparing display monitor
  3522. 2022-01-17 14:25:49,624:INFO:Preloading libraries
  3523. 2022-01-17 14:25:49,625:INFO:Copying training dataset
  3524. 2022-01-17 14:25:49,625:INFO:Copying test dataset
  3525. 2022-01-17 14:25:49,626:INFO:Plot type: learning
  3526. 2022-01-17 14:25:49,628:INFO:Fitting Model
  3527. 2022-01-17 14:25:51,324:INFO:Visual Rendered Successfully
  3528. 2022-01-17 14:25:51,399:INFO:plot_model() succesfully completed......................................
  3529. 2022-01-17 14:26:06,504:INFO:Initializing plot_model()
  3530. 2022-01-17 14:26:06,504:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3531. max_depth=None, max_features=None, max_leaf_nodes=None,
  3532. min_impurity_decrease=0.0, min_impurity_split=None,
  3533. min_samples_leaf=1, min_samples_split=2,
  3534. min_weight_fraction_leaf=0.0, presort='deprecated',
  3535. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  3536. 2022-01-17 14:26:06,504:INFO:Checking exceptions
  3537. 2022-01-17 14:26:06,505:INFO:Preparing display monitor
  3538. 2022-01-17 14:26:06,509:INFO:Preloading libraries
  3539. 2022-01-17 14:26:06,509:INFO:Copying training dataset
  3540. 2022-01-17 14:26:06,510:INFO:Copying test dataset
  3541. 2022-01-17 14:26:06,511:INFO:Plot type: feature
  3542. 2022-01-17 14:26:06,511:WARNING:No coef_ found. Trying feature_importances_
  3543. 2022-01-17 14:26:06,589:INFO:Visual Rendered Successfully
  3544. 2022-01-17 14:26:06,663:INFO:plot_model() succesfully completed......................................
  3545. 2022-01-17 14:26:08,431:INFO:Initializing plot_model()
  3546. 2022-01-17 14:26:08,431:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3547. max_depth=None, max_features=None, max_leaf_nodes=None,
  3548. min_impurity_decrease=0.0, min_impurity_split=None,
  3549. min_samples_leaf=1, min_samples_split=2,
  3550. min_weight_fraction_leaf=0.0, presort='deprecated',
  3551. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  3552. 2022-01-17 14:26:08,432:INFO:Checking exceptions
  3553. 2022-01-17 14:26:08,432:INFO:Preparing display monitor
  3554. 2022-01-17 14:26:08,436:INFO:Preloading libraries
  3555. 2022-01-17 14:26:08,437:INFO:Copying training dataset
  3556. 2022-01-17 14:26:08,437:INFO:Copying test dataset
  3557. 2022-01-17 14:26:08,438:INFO:Plot type: feature_all
  3558. 2022-01-17 14:26:08,438:WARNING:No coef_ found. Trying feature_importances_
  3559. 2022-01-17 14:26:08,609:INFO:Visual Rendered Successfully
  3560. 2022-01-17 14:26:08,687:INFO:plot_model() succesfully completed......................................
  3561. 2022-01-17 14:26:39,249:INFO:Initializing plot_model()
  3562. 2022-01-17 14:26:39,249:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3563. max_depth=None, max_features=None, max_leaf_nodes=None,
  3564. min_impurity_decrease=0.0, min_impurity_split=None,
  3565. min_samples_leaf=1, min_samples_split=2,
  3566. min_weight_fraction_leaf=0.0, presort='deprecated',
  3567. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
  3568. 2022-01-17 14:26:39,250:INFO:Checking exceptions
  3569. 2022-01-17 14:26:39,250:INFO:Preparing display monitor
  3570. 2022-01-17 14:26:39,254:INFO:Preloading libraries
  3571. 2022-01-17 14:26:39,255:INFO:Copying training dataset
  3572. 2022-01-17 14:26:39,256:INFO:Copying test dataset
  3573. 2022-01-17 14:26:39,256:INFO:Plot type: boundary
  3574. 2022-01-17 14:26:39,259:INFO:Fitting StandardScaler()
  3575. 2022-01-17 14:26:39,268:INFO:Fitting PCA()
  3576. 2022-01-17 14:26:39,349:INFO:Initializing get_config()
  3577. 2022-01-17 14:26:39,350:INFO:get_config(variable=prep_pipe)
  3578. 2022-01-17 14:26:39,355:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3579. steps=[('dtypes',
  3580. DataTypes_Auto_infer(categorical_features=[],
  3581. display_types=True, features_todrop=[],
  3582. id_columns=[],
  3583. ml_usecase='classification',
  3584. numerical_features=[], target='label',
  3585. time_features=[])),
  3586. ('imputer',
  3587. Simple_Imputer(categorical_strategy='not_available',
  3588. fill_value_categorical=None,
  3589. fill_value_numerical=None,
  3590. numeric_strate...
  3591. target='label')),
  3592. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3593. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3594. ('dummy', Dummify(target='label')),
  3595. ('fix_perfect', Remove_100(target='label')),
  3596. ('clean_names', Clean_Colum_Names()),
  3597. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3598. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3599. verbose=False)
  3600. 2022-01-17 14:26:39,360:INFO:get_config() succesfully completed......................................
  3601. 2022-01-17 14:26:39,361:INFO:Fitting Model
  3602. 2022-01-17 14:26:40,158:INFO:Visual Rendered Successfully
  3603. 2022-01-17 14:26:40,263:INFO:plot_model() succesfully completed......................................
  3604. 2022-01-17 14:26:43,961:INFO:Initializing plot_model()
  3605. 2022-01-17 14:26:43,961:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3606. max_depth=None, max_features=None, max_leaf_nodes=None,
  3607. min_impurity_decrease=0.0, min_impurity_split=None,
  3608. min_samples_leaf=1, min_samples_split=2,
  3609. min_weight_fraction_leaf=0.0, presort='deprecated',
  3610. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  3611. 2022-01-17 14:26:43,961:INFO:Checking exceptions
  3612. 2022-01-17 14:26:43,962:INFO:Preparing display monitor
  3613. 2022-01-17 14:26:43,966:INFO:Preloading libraries
  3614. 2022-01-17 14:26:43,967:INFO:Copying training dataset
  3615. 2022-01-17 14:26:43,968:INFO:Copying test dataset
  3616. 2022-01-17 14:26:43,968:INFO:Plot type: lift
  3617. 2022-01-17 14:26:43,969:INFO:Generating predictions / predict_proba on X_test
  3618. 2022-01-17 14:26:44,060:INFO:Visual Rendered Successfully
  3619. 2022-01-17 14:26:44,134:INFO:plot_model() succesfully completed......................................
  3620. 2022-01-17 14:26:50,029:INFO:Initializing plot_model()
  3621. 2022-01-17 14:26:50,029:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3622. max_depth=None, max_features=None, max_leaf_nodes=None,
  3623. min_impurity_decrease=0.0, min_impurity_split=None,
  3624. min_samples_leaf=1, min_samples_split=2,
  3625. min_weight_fraction_leaf=0.0, presort='deprecated',
  3626. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
  3627. 2022-01-17 14:26:50,030:INFO:Checking exceptions
  3628. 2022-01-17 14:26:50,030:INFO:Preparing display monitor
  3629. 2022-01-17 14:26:50,034:INFO:Preloading libraries
  3630. 2022-01-17 14:26:50,035:INFO:Copying training dataset
  3631. 2022-01-17 14:26:50,035:INFO:Copying test dataset
  3632. 2022-01-17 14:26:50,036:INFO:Plot type: ks
  3633. 2022-01-17 14:26:50,037:INFO:Generating predictions / predict_proba on X_test
  3634. 2022-01-17 14:26:50,141:INFO:Visual Rendered Successfully
  3635. 2022-01-17 14:26:50,216:INFO:plot_model() succesfully completed......................................
  3636. 2022-01-17 14:26:54,074:INFO:Initializing plot_model()
  3637. 2022-01-17 14:26:54,075:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3638. max_depth=None, max_features=None, max_leaf_nodes=None,
  3639. min_impurity_decrease=0.0, min_impurity_split=None,
  3640. min_samples_leaf=1, min_samples_split=2,
  3641. min_weight_fraction_leaf=0.0, presort='deprecated',
  3642. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  3643. 2022-01-17 14:26:54,075:INFO:Checking exceptions
  3644. 2022-01-17 14:26:54,076:INFO:Preparing display monitor
  3645. 2022-01-17 14:26:54,079:INFO:Preloading libraries
  3646. 2022-01-17 14:26:54,080:INFO:Copying training dataset
  3647. 2022-01-17 14:26:54,081:INFO:Copying test dataset
  3648. 2022-01-17 14:26:54,081:INFO:Plot type: tree
  3649. 2022-01-17 14:26:54,091:INFO:Plotting decision trees
  3650. 2022-01-17 14:26:54,092:INFO:Plotting tree 0
  3651. 2022-01-17 14:27:09,443:INFO:Visual Rendered Successfully
  3652. 2022-01-17 14:27:09,530:INFO:plot_model() succesfully completed......................................
  3653. 2022-01-17 14:27:09,544:INFO:Initializing plot_model()
  3654. 2022-01-17 14:27:09,544:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3655. max_depth=None, max_features=None, max_leaf_nodes=None,
  3656. min_impurity_decrease=0.0, min_impurity_split=None,
  3657. min_samples_leaf=1, min_samples_split=2,
  3658. min_weight_fraction_leaf=0.0, presort='deprecated',
  3659. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
  3660. 2022-01-17 14:27:09,544:INFO:Checking exceptions
  3661. 2022-01-17 14:27:09,545:INFO:Preparing display monitor
  3662. 2022-01-17 14:27:09,549:INFO:Preloading libraries
  3663. 2022-01-17 14:27:09,550:INFO:Copying training dataset
  3664. 2022-01-17 14:27:09,550:INFO:Copying test dataset
  3665. 2022-01-17 14:27:09,550:INFO:Plot type: boundary
  3666. 2022-01-17 14:27:09,553:INFO:Fitting StandardScaler()
  3667. 2022-01-17 14:27:09,561:INFO:Fitting PCA()
  3668. 2022-01-17 14:27:09,602:INFO:Initializing get_config()
  3669. 2022-01-17 14:27:09,602:INFO:get_config(variable=prep_pipe)
  3670. 2022-01-17 14:27:09,607:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3671. steps=[('dtypes',
  3672. DataTypes_Auto_infer(categorical_features=[],
  3673. display_types=True, features_todrop=[],
  3674. id_columns=[],
  3675. ml_usecase='classification',
  3676. numerical_features=[], target='label',
  3677. time_features=[])),
  3678. ('imputer',
  3679. Simple_Imputer(categorical_strategy='not_available',
  3680. fill_value_categorical=None,
  3681. fill_value_numerical=None,
  3682. numeric_strate...
  3683. target='label')),
  3684. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3685. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3686. ('dummy', Dummify(target='label')),
  3687. ('fix_perfect', Remove_100(target='label')),
  3688. ('clean_names', Clean_Colum_Names()),
  3689. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3690. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3691. verbose=False)
  3692. 2022-01-17 14:27:09,607:INFO:get_config() succesfully completed......................................
  3693. 2022-01-17 14:27:09,608:INFO:Fitting Model
  3694. 2022-01-17 14:27:10,407:INFO:Visual Rendered Successfully
  3695. 2022-01-17 14:27:10,518:INFO:plot_model() succesfully completed......................................
  3696. 2022-01-17 14:27:11,486:INFO:Initializing plot_model()
  3697. 2022-01-17 14:27:11,486:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3698. max_depth=None, max_features=None, max_leaf_nodes=None,
  3699. min_impurity_decrease=0.0, min_impurity_split=None,
  3700. min_samples_leaf=1, min_samples_split=2,
  3701. min_weight_fraction_leaf=0.0, presort='deprecated',
  3702. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  3703. 2022-01-17 14:27:11,486:INFO:Checking exceptions
  3704. 2022-01-17 14:27:11,487:INFO:Preparing display monitor
  3705. 2022-01-17 14:27:11,491:INFO:Preloading libraries
  3706. 2022-01-17 14:27:11,491:INFO:Copying training dataset
  3707. 2022-01-17 14:27:11,492:INFO:Copying test dataset
  3708. 2022-01-17 14:27:11,492:INFO:Plot type: tree
  3709. 2022-01-17 14:27:11,503:INFO:Plotting decision trees
  3710. 2022-01-17 14:27:11,503:INFO:Plotting tree 0
  3711. 2022-01-17 14:27:26,819:INFO:Visual Rendered Successfully
  3712. 2022-01-17 14:27:26,898:INFO:plot_model() succesfully completed......................................
  3713. 2022-01-17 14:39:43,027:INFO:Initializing plot_model()
  3714. 2022-01-17 14:39:43,027:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3715. max_depth=None, max_features=None, max_leaf_nodes=None,
  3716. min_impurity_decrease=0.0, min_impurity_split=None,
  3717. min_samples_leaf=1, min_samples_split=2,
  3718. min_weight_fraction_leaf=0.0, presort='deprecated',
  3719. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  3720. 2022-01-17 14:39:43,027:INFO:Checking exceptions
  3721. 2022-01-17 14:39:43,028:INFO:Preparing display monitor
  3722. 2022-01-17 14:39:43,032:INFO:Preloading libraries
  3723. 2022-01-17 14:39:43,033:INFO:Copying training dataset
  3724. 2022-01-17 14:39:43,034:INFO:Copying test dataset
  3725. 2022-01-17 14:39:43,034:INFO:Plot type: confusion_matrix
  3726. 2022-01-17 14:39:43,035:INFO:Initializing get_config()
  3727. 2022-01-17 14:39:43,035:INFO:get_config(variable=prep_pipe)
  3728. 2022-01-17 14:39:43,038:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3729. steps=[('dtypes',
  3730. DataTypes_Auto_infer(categorical_features=[],
  3731. display_types=True, features_todrop=[],
  3732. id_columns=[],
  3733. ml_usecase='classification',
  3734. numerical_features=[], target='label',
  3735. time_features=[])),
  3736. ('imputer',
  3737. Simple_Imputer(categorical_strategy='not_available',
  3738. fill_value_categorical=None,
  3739. fill_value_numerical=None,
  3740. numeric_strate...
  3741. target='label')),
  3742. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3743. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3744. ('dummy', Dummify(target='label')),
  3745. ('fix_perfect', Remove_100(target='label')),
  3746. ('clean_names', Clean_Colum_Names()),
  3747. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3748. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3749. verbose=False)
  3750. 2022-01-17 14:39:43,038:INFO:get_config() succesfully completed......................................
  3751. 2022-01-17 14:39:43,039:INFO:Fitting Model
  3752. 2022-01-17 14:39:43,040:INFO:Scoring test/hold-out set
  3753. 2022-01-17 14:39:43,111:INFO:Visual Rendered Successfully
  3754. 2022-01-17 14:39:43,193:INFO:plot_model() succesfully completed......................................
  3755. 2022-01-17 14:42:54,885:INFO:Initializing plot_model()
  3756. 2022-01-17 14:42:54,886:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3757. max_depth=None, max_features=None, max_leaf_nodes=None,
  3758. min_impurity_decrease=0.0, min_impurity_split=None,
  3759. min_samples_leaf=1, min_samples_split=2,
  3760. min_weight_fraction_leaf=0.0, presort='deprecated',
  3761. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  3762. 2022-01-17 14:42:54,886:INFO:Checking exceptions
  3763. 2022-01-17 14:42:54,887:INFO:Preparing display monitor
  3764. 2022-01-17 14:42:54,890:INFO:Preloading libraries
  3765. 2022-01-17 14:42:54,891:INFO:Copying training dataset
  3766. 2022-01-17 14:42:54,892:INFO:Copying test dataset
  3767. 2022-01-17 14:42:54,892:INFO:Plot type: class_report
  3768. 2022-01-17 14:42:54,893:INFO:Initializing get_config()
  3769. 2022-01-17 14:42:54,893:INFO:get_config(variable=prep_pipe)
  3770. 2022-01-17 14:42:54,896:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3771. steps=[('dtypes',
  3772. DataTypes_Auto_infer(categorical_features=[],
  3773. display_types=True, features_todrop=[],
  3774. id_columns=[],
  3775. ml_usecase='classification',
  3776. numerical_features=[], target='label',
  3777. time_features=[])),
  3778. ('imputer',
  3779. Simple_Imputer(categorical_strategy='not_available',
  3780. fill_value_categorical=None,
  3781. fill_value_numerical=None,
  3782. numeric_strate...
  3783. target='label')),
  3784. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3785. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3786. ('dummy', Dummify(target='label')),
  3787. ('fix_perfect', Remove_100(target='label')),
  3788. ('clean_names', Clean_Colum_Names()),
  3789. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3790. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3791. verbose=False)
  3792. 2022-01-17 14:42:54,896:INFO:get_config() succesfully completed......................................
  3793. 2022-01-17 14:42:54,897:INFO:Fitting Model
  3794. 2022-01-17 14:42:54,897:INFO:Scoring test/hold-out set
  3795. 2022-01-17 14:42:55,006:INFO:Visual Rendered Successfully
  3796. 2022-01-17 14:42:55,073:INFO:plot_model() succesfully completed......................................
  3797. 2022-01-17 14:52:11,844:INFO:Initializing plot_model()
  3798. 2022-01-17 14:52:11,844:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3799. max_depth=None, max_features=None, max_leaf_nodes=None,
  3800. min_impurity_decrease=0.0, min_impurity_split=None,
  3801. min_samples_leaf=1, min_samples_split=2,
  3802. min_weight_fraction_leaf=0.0, presort='deprecated',
  3803. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  3804. 2022-01-17 14:52:11,844:INFO:Checking exceptions
  3805. 2022-01-17 14:52:11,845:INFO:Preparing display monitor
  3806. 2022-01-17 14:52:11,849:INFO:Preloading libraries
  3807. 2022-01-17 14:52:11,850:INFO:Copying training dataset
  3808. 2022-01-17 14:52:11,851:INFO:Copying test dataset
  3809. 2022-01-17 14:52:11,851:INFO:Plot type: feature
  3810. 2022-01-17 14:52:11,852:WARNING:No coef_ found. Trying feature_importances_
  3811. 2022-01-17 14:52:11,925:INFO:Visual Rendered Successfully
  3812. 2022-01-17 14:52:12,001:INFO:plot_model() succesfully completed......................................
  3813. 2022-01-17 15:25:30,496:INFO:Initializing plot_model()
  3814. 2022-01-17 15:25:30,496:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3815. max_depth=None, max_features=None, max_leaf_nodes=None,
  3816. min_impurity_decrease=0.0, min_impurity_split=None,
  3817. min_samples_leaf=1, min_samples_split=2,
  3818. min_weight_fraction_leaf=0.0, presort='deprecated',
  3819. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  3820. 2022-01-17 15:25:30,496:INFO:Checking exceptions
  3821. 2022-01-17 15:25:30,497:INFO:Preparing display monitor
  3822. 2022-01-17 15:25:30,501:INFO:Preloading libraries
  3823. 2022-01-17 15:25:30,502:INFO:Copying training dataset
  3824. 2022-01-17 15:25:30,502:INFO:Copying test dataset
  3825. 2022-01-17 15:25:30,502:INFO:Plot type: parameter
  3826. 2022-01-17 15:25:30,506:INFO:Visual Rendered Successfully
  3827. 2022-01-17 15:25:30,583:INFO:plot_model() succesfully completed......................................
  3828. 2022-01-17 15:25:38,490:INFO:Initializing plot_model()
  3829. 2022-01-17 15:25:38,491:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3830. max_depth=None, max_features=None, max_leaf_nodes=None,
  3831. min_impurity_decrease=0.0, min_impurity_split=None,
  3832. min_samples_leaf=1, min_samples_split=2,
  3833. min_weight_fraction_leaf=0.0, presort='deprecated',
  3834. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  3835. 2022-01-17 15:25:38,491:INFO:Checking exceptions
  3836. 2022-01-17 15:25:38,492:INFO:Preparing display monitor
  3837. 2022-01-17 15:25:38,495:INFO:Preloading libraries
  3838. 2022-01-17 15:25:38,496:INFO:Copying training dataset
  3839. 2022-01-17 15:25:38,497:INFO:Copying test dataset
  3840. 2022-01-17 15:25:38,497:INFO:Plot type: feature
  3841. 2022-01-17 15:25:38,498:WARNING:No coef_ found. Trying feature_importances_
  3842. 2022-01-17 15:25:38,574:INFO:Visual Rendered Successfully
  3843. 2022-01-17 15:25:38,652:INFO:plot_model() succesfully completed......................................
  3844. 2022-01-17 15:25:42,961:INFO:Initializing plot_model()
  3845. 2022-01-17 15:25:42,962:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3846. max_depth=None, max_features=None, max_leaf_nodes=None,
  3847. min_impurity_decrease=0.0, min_impurity_split=None,
  3848. min_samples_leaf=1, min_samples_split=2,
  3849. min_weight_fraction_leaf=0.0, presort='deprecated',
  3850. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  3851. 2022-01-17 15:25:42,962:INFO:Checking exceptions
  3852. 2022-01-17 15:25:42,963:INFO:Preparing display monitor
  3853. 2022-01-17 15:25:42,966:INFO:Preloading libraries
  3854. 2022-01-17 15:25:42,967:INFO:Copying training dataset
  3855. 2022-01-17 15:25:42,967:INFO:Copying test dataset
  3856. 2022-01-17 15:25:42,968:INFO:Plot type: feature_all
  3857. 2022-01-17 15:25:42,969:WARNING:No coef_ found. Trying feature_importances_
  3858. 2022-01-17 15:25:43,129:INFO:Visual Rendered Successfully
  3859. 2022-01-17 15:25:43,205:INFO:plot_model() succesfully completed......................................
  3860. 2022-01-17 15:34:27,571:INFO:Initializing plot_model()
  3861. 2022-01-17 15:34:27,571:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3862. max_depth=None, max_features=None, max_leaf_nodes=None,
  3863. min_impurity_decrease=0.0, min_impurity_split=None,
  3864. min_samples_leaf=1, min_samples_split=2,
  3865. min_weight_fraction_leaf=0.0, presort='deprecated',
  3866. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  3867. 2022-01-17 15:34:27,572:INFO:Checking exceptions
  3868. 2022-01-17 15:34:27,572:INFO:Preparing display monitor
  3869. 2022-01-17 15:34:27,576:INFO:Preloading libraries
  3870. 2022-01-17 15:34:27,577:INFO:Copying training dataset
  3871. 2022-01-17 15:34:27,577:INFO:Copying test dataset
  3872. 2022-01-17 15:34:27,578:INFO:Plot type: confusion_matrix
  3873. 2022-01-17 15:34:27,578:INFO:Initializing get_config()
  3874. 2022-01-17 15:34:27,579:INFO:get_config(variable=prep_pipe)
  3875. 2022-01-17 15:34:27,581:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3876. steps=[('dtypes',
  3877. DataTypes_Auto_infer(categorical_features=[],
  3878. display_types=True, features_todrop=[],
  3879. id_columns=[],
  3880. ml_usecase='classification',
  3881. numerical_features=[], target='label',
  3882. time_features=[])),
  3883. ('imputer',
  3884. Simple_Imputer(categorical_strategy='not_available',
  3885. fill_value_categorical=None,
  3886. fill_value_numerical=None,
  3887. numeric_strate...
  3888. target='label')),
  3889. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3890. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3891. ('dummy', Dummify(target='label')),
  3892. ('fix_perfect', Remove_100(target='label')),
  3893. ('clean_names', Clean_Colum_Names()),
  3894. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3895. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3896. verbose=False)
  3897. 2022-01-17 15:34:27,582:INFO:get_config() succesfully completed......................................
  3898. 2022-01-17 15:34:27,582:INFO:Fitting Model
  3899. 2022-01-17 15:34:27,583:INFO:Scoring test/hold-out set
  3900. 2022-01-17 15:34:27,648:INFO:Visual Rendered Successfully
  3901. 2022-01-17 15:34:27,724:INFO:plot_model() succesfully completed......................................
  3902. 2022-01-17 15:34:53,720:INFO:Initializing plot_model()
  3903. 2022-01-17 15:34:53,720:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3904. max_depth=None, max_features=None, max_leaf_nodes=None,
  3905. min_impurity_decrease=0.0, min_impurity_split=None,
  3906. min_samples_leaf=1, min_samples_split=2,
  3907. min_weight_fraction_leaf=0.0, presort='deprecated',
  3908. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  3909. 2022-01-17 15:34:53,720:INFO:Checking exceptions
  3910. 2022-01-17 15:34:53,721:INFO:Preparing display monitor
  3911. 2022-01-17 15:34:53,724:INFO:Preloading libraries
  3912. 2022-01-17 15:34:53,725:INFO:Copying training dataset
  3913. 2022-01-17 15:34:53,726:INFO:Copying test dataset
  3914. 2022-01-17 15:34:53,726:INFO:Plot type: pr
  3915. 2022-01-17 15:34:53,727:INFO:Fitting Model
  3916. 2022-01-17 15:34:53,728:INFO:Scoring test/hold-out set
  3917. 2022-01-17 15:34:53,808:INFO:Visual Rendered Successfully
  3918. 2022-01-17 15:34:53,880:INFO:plot_model() succesfully completed......................................
  3919. 2022-01-17 15:34:57,619:INFO:Initializing plot_model()
  3920. 2022-01-17 15:34:57,619:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3921. max_depth=None, max_features=None, max_leaf_nodes=None,
  3922. min_impurity_decrease=0.0, min_impurity_split=None,
  3923. min_samples_leaf=1, min_samples_split=2,
  3924. min_weight_fraction_leaf=0.0, presort='deprecated',
  3925. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  3926. 2022-01-17 15:34:57,619:INFO:Checking exceptions
  3927. 2022-01-17 15:34:57,620:INFO:Preparing display monitor
  3928. 2022-01-17 15:34:57,624:INFO:Preloading libraries
  3929. 2022-01-17 15:34:57,625:INFO:Copying training dataset
  3930. 2022-01-17 15:34:57,626:INFO:Copying test dataset
  3931. 2022-01-17 15:34:57,626:INFO:Plot type: auc
  3932. 2022-01-17 15:34:57,627:INFO:Initializing get_config()
  3933. 2022-01-17 15:34:57,627:INFO:get_config(variable=prep_pipe)
  3934. 2022-01-17 15:34:57,630:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3935. steps=[('dtypes',
  3936. DataTypes_Auto_infer(categorical_features=[],
  3937. display_types=True, features_todrop=[],
  3938. id_columns=[],
  3939. ml_usecase='classification',
  3940. numerical_features=[], target='label',
  3941. time_features=[])),
  3942. ('imputer',
  3943. Simple_Imputer(categorical_strategy='not_available',
  3944. fill_value_categorical=None,
  3945. fill_value_numerical=None,
  3946. numeric_strate...
  3947. target='label')),
  3948. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3949. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3950. ('dummy', Dummify(target='label')),
  3951. ('fix_perfect', Remove_100(target='label')),
  3952. ('clean_names', Clean_Colum_Names()),
  3953. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3954. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3955. verbose=False)
  3956. 2022-01-17 15:34:57,630:INFO:get_config() succesfully completed......................................
  3957. 2022-01-17 15:34:57,631:INFO:Fitting Model
  3958. 2022-01-17 15:34:57,632:INFO:Scoring test/hold-out set
  3959. 2022-01-17 15:34:57,724:INFO:Visual Rendered Successfully
  3960. 2022-01-17 15:34:57,795:INFO:plot_model() succesfully completed......................................
  3961. 2022-01-17 15:35:41,997:INFO:Initializing plot_model()
  3962. 2022-01-17 15:35:41,997:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3963. max_depth=None, max_features=None, max_leaf_nodes=None,
  3964. min_impurity_decrease=0.0, min_impurity_split=None,
  3965. min_samples_leaf=1, min_samples_split=2,
  3966. min_weight_fraction_leaf=0.0, presort='deprecated',
  3967. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  3968. 2022-01-17 15:35:41,997:INFO:Checking exceptions
  3969. 2022-01-17 15:35:41,998:INFO:Preparing display monitor
  3970. 2022-01-17 15:35:42,001:INFO:Preloading libraries
  3971. 2022-01-17 15:35:42,002:INFO:Copying training dataset
  3972. 2022-01-17 15:35:42,003:INFO:Copying test dataset
  3973. 2022-01-17 15:35:42,003:INFO:Plot type: feature
  3974. 2022-01-17 15:35:42,004:WARNING:No coef_ found. Trying feature_importances_
  3975. 2022-01-17 15:35:42,081:INFO:Visual Rendered Successfully
  3976. 2022-01-17 15:35:42,156:INFO:plot_model() succesfully completed......................................
  3977. 2022-01-17 15:36:22,164:INFO:Initializing plot_model()
  3978. 2022-01-17 15:36:22,164:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3979. max_depth=None, max_features=None, max_leaf_nodes=None,
  3980. min_impurity_decrease=0.0, min_impurity_split=None,
  3981. min_samples_leaf=1, min_samples_split=2,
  3982. min_weight_fraction_leaf=0.0, presort='deprecated',
  3983. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  3984. 2022-01-17 15:36:22,164:INFO:Checking exceptions
  3985. 2022-01-17 15:36:22,165:INFO:Preparing display monitor
  3986. 2022-01-17 15:36:22,169:INFO:Preloading libraries
  3987. 2022-01-17 15:36:22,170:INFO:Copying training dataset
  3988. 2022-01-17 15:36:22,171:INFO:Copying test dataset
  3989. 2022-01-17 15:36:22,171:INFO:Plot type: tree
  3990. 2022-01-17 15:36:22,181:INFO:Plotting decision trees
  3991. 2022-01-17 15:36:22,181:INFO:Plotting tree 0
  3992. 2022-01-17 15:36:37,267:INFO:Visual Rendered Successfully
  3993. 2022-01-17 15:36:37,358:INFO:plot_model() succesfully completed......................................
  3994. 2022-01-17 16:05:47,165:INFO:PyCaret Supervised Module
  3995. 2022-01-17 16:05:47,165:INFO:ML Usecase: classification
  3996. 2022-01-17 16:05:47,165:INFO:version 2.3.6
  3997. 2022-01-17 16:05:47,165:INFO:Initializing setup()
  3998. 2022-01-17 16:05:47,165:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  3999. 2022-01-17 16:05:47,165:INFO:Checking environment
  4000. 2022-01-17 16:05:47,166:INFO:python_version: 3.8.8
  4001. 2022-01-17 16:05:47,166:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  4002. 2022-01-17 16:05:47,166:INFO:machine: x86_64
  4003. 2022-01-17 16:05:47,166:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  4004. 2022-01-17 16:05:47,166:INFO:Memory: svmem(total=33619935232, available=29945696256, percent=10.9, used=2828460032, free=27356975104, active=1214738432, inactive=4452962304, buffers=605200384, cached=2829299712, shared=383582208, slab=300781568)
  4005. 2022-01-17 16:05:47,167:INFO:Physical Core: 16
  4006. 2022-01-17 16:05:47,167:INFO:Logical Core: 32
  4007. 2022-01-17 16:05:47,167:INFO:Checking libraries
  4008. 2022-01-17 16:05:47,167:INFO:pd==1.2.4
  4009. 2022-01-17 16:05:47,167:INFO:numpy==1.19.5
  4010. 2022-01-17 16:05:47,168:INFO:sklearn==0.23.2
  4011. 2022-01-17 16:05:47,168:INFO:lightgbm==3.3.2
  4012. 2022-01-17 16:05:47,168:WARNING:catboost not found
  4013. 2022-01-17 16:05:47,169:WARNING:xgboost not found
  4014. 2022-01-17 16:05:47,287:INFO:mlflow==1.22.0
  4015. 2022-01-17 16:05:47,288:INFO:Checking Exceptions
  4016. 2022-01-17 16:05:47,288:INFO:Declaring global variables
  4017. 2022-01-17 16:05:47,289:INFO:USI: 95c8
  4018. 2022-01-17 16:05:47,289:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  4019. 2022-01-17 16:05:47,289:INFO:Preparing display monitor
  4020. 2022-01-17 16:05:47,289:INFO:Preparing display monitor
  4021. 2022-01-17 16:05:47,298:INFO:Importing libraries
  4022. 2022-01-17 16:05:47,299:INFO:Copying data for preprocessing
  4023. 2022-01-17 16:05:47,304:INFO:Declaring preprocessing parameters
  4024. 2022-01-17 16:05:47,304:WARNING:cuML not found
  4025. 2022-01-17 16:05:47,305:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  4026. 2022-01-17 16:05:47,307:INFO:Creating preprocessing pipeline
  4027. 2022-01-17 16:05:47,333:INFO:Preprocessing pipeline created successfully
  4028. 2022-01-17 16:05:47,334:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  4029. 2022-01-17 16:05:47,334:INFO:Creating global containers
  4030. 2022-01-17 16:05:47,334:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  4031. 2022-01-17 16:06:03,093:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  4032. 2022-01-17 16:06:03,120:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  4033. 2022-01-17 16:06:03,121:WARNING:Couldn't import cuml.MBSGDClassifier
  4034. 2022-01-17 16:06:03,122:WARNING:Couldn't import cuml.svm.SVC
  4035. 2022-01-17 16:06:03,137:WARNING:Couldn't import cuml.linear_model
  4036. 2022-01-17 16:06:03,140:WARNING:Couldn't import cuml.ensemble
  4037. 2022-01-17 16:06:03,142:WARNING:Couldn't import xgboost.XGBClassifier
  4038. 2022-01-17 16:06:03,147:WARNING:Couldn't import catboost.CatBoostClassifier
  4039. 2022-01-17 16:06:03,148:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  4040. 2022-01-17 16:06:03,177:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  4041. 2022-01-17 16:06:03,177:WARNING:Couldn't import cuml.MBSGDClassifier
  4042. 2022-01-17 16:06:03,178:WARNING:Couldn't import cuml.svm.SVC
  4043. 2022-01-17 16:06:03,192:WARNING:Couldn't import cuml.linear_model
  4044. 2022-01-17 16:06:03,195:WARNING:Couldn't import cuml.ensemble
  4045. 2022-01-17 16:06:03,196:WARNING:Couldn't import xgboost.XGBClassifier
  4046. 2022-01-17 16:06:03,200:WARNING:Couldn't import catboost.CatBoostClassifier
  4047. 2022-01-17 16:06:03,201:INFO:Creating grid variables
  4048. 2022-01-17 16:06:03,212:INFO:create_model_container: 0
  4049. 2022-01-17 16:06:03,213:INFO:master_model_container: 0
  4050. 2022-01-17 16:06:03,213:INFO:display_container: 1
  4051. 2022-01-17 16:06:03,216:INFO:Pipeline(memory=None,
  4052. steps=[('dtypes',
  4053. DataTypes_Auto_infer(categorical_features=[],
  4054. display_types=True, features_todrop=[],
  4055. id_columns=[],
  4056. ml_usecase='classification',
  4057. numerical_features=[], target='label',
  4058. time_features=[])),
  4059. ('imputer',
  4060. Simple_Imputer(categorical_strategy='not_available',
  4061. fill_value_categorical=None,
  4062. fill_value_numerical=None,
  4063. numeric_strate...
  4064. target='label')),
  4065. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  4066. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  4067. ('dummy', Dummify(target='label')),
  4068. ('fix_perfect', Remove_100(target='label')),
  4069. ('clean_names', Clean_Colum_Names()),
  4070. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  4071. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  4072. verbose=False)
  4073. 2022-01-17 16:06:03,216:INFO:setup() succesfully completed......................................
  4074. 2022-01-17 16:06:14,364:INFO:Initializing compare_models()
  4075. 2022-01-17 16:06:14,364:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  4076. 2022-01-17 16:06:14,364:INFO:Checking exceptions
  4077. 2022-01-17 16:06:14,365:INFO:Preparing display monitor
  4078. 2022-01-17 16:06:14,366:INFO:Preparing display monitor
  4079. 2022-01-17 16:06:14,382:INFO:Initializing Logistic Regression
  4080. 2022-01-17 16:06:14,383:INFO:Total runtime is 5.551179250081381e-06 minutes
  4081. 2022-01-17 16:06:14,388:INFO:SubProcess create_model() called ==================================
  4082. 2022-01-17 16:06:14,388:INFO:Initializing create_model()
  4083. 2022-01-17 16:06:14,388:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4084. 2022-01-17 16:06:14,388:INFO:Checking exceptions
  4085. 2022-01-17 16:06:14,389:INFO:Importing libraries
  4086. 2022-01-17 16:06:14,389:INFO:Copying training dataset
  4087. 2022-01-17 16:06:14,390:INFO:Defining folds
  4088. 2022-01-17 16:06:14,390:INFO:Declaring metric variables
  4089. 2022-01-17 16:06:14,395:INFO:Importing untrained model
  4090. 2022-01-17 16:06:14,400:INFO:Logistic Regression Imported succesfully
  4091. 2022-01-17 16:06:14,410:INFO:Starting cross validation
  4092. 2022-01-17 16:06:14,411:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4093. 2022-01-17 16:06:19,206:INFO:Calculating mean and std
  4094. 2022-01-17 16:06:19,210:INFO:Creating metrics dataframe
  4095. 2022-01-17 16:06:19,217:INFO:Uploading results into container
  4096. 2022-01-17 16:06:19,217:INFO:Uploading model into container now
  4097. 2022-01-17 16:06:19,218:INFO:create_model_container: 1
  4098. 2022-01-17 16:06:19,218:INFO:master_model_container: 1
  4099. 2022-01-17 16:06:19,218:INFO:display_container: 2
  4100. 2022-01-17 16:06:19,219:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  4101. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  4102. multi_class='auto', n_jobs=None, penalty='l2',
  4103. random_state=2572, solver='lbfgs', tol=0.0001, verbose=0,
  4104. warm_start=False)
  4105. 2022-01-17 16:06:19,219:INFO:create_model() succesfully completed......................................
  4106. 2022-01-17 16:06:19,300:INFO:SubProcess create_model() end ==================================
  4107. 2022-01-17 16:06:19,300:INFO:Creating metrics dataframe
  4108. 2022-01-17 16:06:19,309:INFO:Initializing K Neighbors Classifier
  4109. 2022-01-17 16:06:19,309:INFO:Total runtime is 0.08211646477381389 minutes
  4110. 2022-01-17 16:06:19,314:INFO:SubProcess create_model() called ==================================
  4111. 2022-01-17 16:06:19,315:INFO:Initializing create_model()
  4112. 2022-01-17 16:06:19,315:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4113. 2022-01-17 16:06:19,315:INFO:Checking exceptions
  4114. 2022-01-17 16:06:19,315:INFO:Importing libraries
  4115. 2022-01-17 16:06:19,315:INFO:Copying training dataset
  4116. 2022-01-17 16:06:19,316:INFO:Defining folds
  4117. 2022-01-17 16:06:19,317:INFO:Declaring metric variables
  4118. 2022-01-17 16:06:19,321:INFO:Importing untrained model
  4119. 2022-01-17 16:06:19,326:INFO:K Neighbors Classifier Imported succesfully
  4120. 2022-01-17 16:06:19,336:INFO:Starting cross validation
  4121. 2022-01-17 16:06:19,337:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4122. 2022-01-17 16:06:28,500:INFO:Calculating mean and std
  4123. 2022-01-17 16:06:28,501:INFO:Creating metrics dataframe
  4124. 2022-01-17 16:06:28,504:INFO:Uploading results into container
  4125. 2022-01-17 16:06:28,505:INFO:Uploading model into container now
  4126. 2022-01-17 16:06:28,505:INFO:create_model_container: 2
  4127. 2022-01-17 16:06:28,505:INFO:master_model_container: 2
  4128. 2022-01-17 16:06:28,505:INFO:display_container: 2
  4129. 2022-01-17 16:06:28,505:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  4130. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  4131. weights='uniform')
  4132. 2022-01-17 16:06:28,505:INFO:create_model() succesfully completed......................................
  4133. 2022-01-17 16:06:28,583:INFO:SubProcess create_model() end ==================================
  4134. 2022-01-17 16:06:28,584:INFO:Creating metrics dataframe
  4135. 2022-01-17 16:06:28,595:INFO:Initializing Naive Bayes
  4136. 2022-01-17 16:06:28,595:INFO:Total runtime is 0.23687418699264529 minutes
  4137. 2022-01-17 16:06:28,600:INFO:SubProcess create_model() called ==================================
  4138. 2022-01-17 16:06:28,600:INFO:Initializing create_model()
  4139. 2022-01-17 16:06:28,601:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4140. 2022-01-17 16:06:28,601:INFO:Checking exceptions
  4141. 2022-01-17 16:06:28,601:INFO:Importing libraries
  4142. 2022-01-17 16:06:28,601:INFO:Copying training dataset
  4143. 2022-01-17 16:06:28,602:INFO:Defining folds
  4144. 2022-01-17 16:06:28,602:INFO:Declaring metric variables
  4145. 2022-01-17 16:06:28,607:INFO:Importing untrained model
  4146. 2022-01-17 16:06:28,612:INFO:Naive Bayes Imported succesfully
  4147. 2022-01-17 16:06:28,622:INFO:Starting cross validation
  4148. 2022-01-17 16:06:28,622:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4149. 2022-01-17 16:06:28,788:INFO:Calculating mean and std
  4150. 2022-01-17 16:06:28,789:INFO:Creating metrics dataframe
  4151. 2022-01-17 16:06:28,791:INFO:Uploading results into container
  4152. 2022-01-17 16:06:28,792:INFO:Uploading model into container now
  4153. 2022-01-17 16:06:28,792:INFO:create_model_container: 3
  4154. 2022-01-17 16:06:28,792:INFO:master_model_container: 3
  4155. 2022-01-17 16:06:28,792:INFO:display_container: 2
  4156. 2022-01-17 16:06:28,792:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  4157. 2022-01-17 16:06:28,793:INFO:create_model() succesfully completed......................................
  4158. 2022-01-17 16:06:28,860:INFO:SubProcess create_model() end ==================================
  4159. 2022-01-17 16:06:28,860:INFO:Creating metrics dataframe
  4160. 2022-01-17 16:06:28,871:INFO:Initializing Decision Tree Classifier
  4161. 2022-01-17 16:06:28,872:INFO:Total runtime is 0.241489048798879 minutes
  4162. 2022-01-17 16:06:28,877:INFO:SubProcess create_model() called ==================================
  4163. 2022-01-17 16:06:28,878:INFO:Initializing create_model()
  4164. 2022-01-17 16:06:28,878:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4165. 2022-01-17 16:06:28,878:INFO:Checking exceptions
  4166. 2022-01-17 16:06:28,878:INFO:Importing libraries
  4167. 2022-01-17 16:06:28,878:INFO:Copying training dataset
  4168. 2022-01-17 16:06:28,879:INFO:Defining folds
  4169. 2022-01-17 16:06:28,879:INFO:Declaring metric variables
  4170. 2022-01-17 16:06:28,884:INFO:Importing untrained model
  4171. 2022-01-17 16:06:28,889:INFO:Decision Tree Classifier Imported succesfully
  4172. 2022-01-17 16:06:28,899:INFO:Starting cross validation
  4173. 2022-01-17 16:06:28,900:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4174. 2022-01-17 16:06:29,472:INFO:Calculating mean and std
  4175. 2022-01-17 16:06:29,473:INFO:Creating metrics dataframe
  4176. 2022-01-17 16:06:29,476:INFO:Uploading results into container
  4177. 2022-01-17 16:06:29,476:INFO:Uploading model into container now
  4178. 2022-01-17 16:06:29,476:INFO:create_model_container: 4
  4179. 2022-01-17 16:06:29,476:INFO:master_model_container: 4
  4180. 2022-01-17 16:06:29,477:INFO:display_container: 2
  4181. 2022-01-17 16:06:29,477:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4182. max_depth=None, max_features=None, max_leaf_nodes=None,
  4183. min_impurity_decrease=0.0, min_impurity_split=None,
  4184. min_samples_leaf=1, min_samples_split=2,
  4185. min_weight_fraction_leaf=0.0, presort='deprecated',
  4186. random_state=2572, splitter='best')
  4187. 2022-01-17 16:06:29,477:INFO:create_model() succesfully completed......................................
  4188. 2022-01-17 16:06:29,543:INFO:SubProcess create_model() end ==================================
  4189. 2022-01-17 16:06:29,543:INFO:Creating metrics dataframe
  4190. 2022-01-17 16:06:29,555:INFO:Initializing SVM - Linear Kernel
  4191. 2022-01-17 16:06:29,555:INFO:Total runtime is 0.25287699699401855 minutes
  4192. 2022-01-17 16:06:29,560:INFO:SubProcess create_model() called ==================================
  4193. 2022-01-17 16:06:29,561:INFO:Initializing create_model()
  4194. 2022-01-17 16:06:29,561:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4195. 2022-01-17 16:06:29,561:INFO:Checking exceptions
  4196. 2022-01-17 16:06:29,561:INFO:Importing libraries
  4197. 2022-01-17 16:06:29,562:INFO:Copying training dataset
  4198. 2022-01-17 16:06:29,563:INFO:Defining folds
  4199. 2022-01-17 16:06:29,563:INFO:Declaring metric variables
  4200. 2022-01-17 16:06:29,567:INFO:Importing untrained model
  4201. 2022-01-17 16:06:29,572:INFO:SVM - Linear Kernel Imported succesfully
  4202. 2022-01-17 16:06:29,582:INFO:Starting cross validation
  4203. 2022-01-17 16:06:29,583:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4204. 2022-01-17 16:06:30,453:INFO:Calculating mean and std
  4205. 2022-01-17 16:06:30,455:INFO:Creating metrics dataframe
  4206. 2022-01-17 16:06:30,458:INFO:Uploading results into container
  4207. 2022-01-17 16:06:30,459:INFO:Uploading model into container now
  4208. 2022-01-17 16:06:30,459:INFO:create_model_container: 5
  4209. 2022-01-17 16:06:30,459:INFO:master_model_container: 5
  4210. 2022-01-17 16:06:30,460:INFO:display_container: 2
  4211. 2022-01-17 16:06:30,466:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  4212. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  4213. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  4214. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  4215. power_t=0.5, random_state=2572, shuffle=True, tol=0.001,
  4216. validation_fraction=0.1, verbose=0, warm_start=False)
  4217. 2022-01-17 16:06:30,466:INFO:create_model() succesfully completed......................................
  4218. 2022-01-17 16:06:30,549:INFO:SubProcess create_model() end ==================================
  4219. 2022-01-17 16:06:30,550:INFO:Creating metrics dataframe
  4220. 2022-01-17 16:06:30,562:INFO:Initializing Ridge Classifier
  4221. 2022-01-17 16:06:30,562:INFO:Total runtime is 0.26966045300165814 minutes
  4222. 2022-01-17 16:06:30,567:INFO:SubProcess create_model() called ==================================
  4223. 2022-01-17 16:06:30,567:INFO:Initializing create_model()
  4224. 2022-01-17 16:06:30,568:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4225. 2022-01-17 16:06:30,568:INFO:Checking exceptions
  4226. 2022-01-17 16:06:30,568:INFO:Importing libraries
  4227. 2022-01-17 16:06:30,568:INFO:Copying training dataset
  4228. 2022-01-17 16:06:30,569:INFO:Defining folds
  4229. 2022-01-17 16:06:30,569:INFO:Declaring metric variables
  4230. 2022-01-17 16:06:30,574:INFO:Importing untrained model
  4231. 2022-01-17 16:06:30,578:INFO:Ridge Classifier Imported succesfully
  4232. 2022-01-17 16:06:30,589:INFO:Starting cross validation
  4233. 2022-01-17 16:06:30,589:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4234. 2022-01-17 16:06:30,942:INFO:Calculating mean and std
  4235. 2022-01-17 16:06:30,943:INFO:Creating metrics dataframe
  4236. 2022-01-17 16:06:30,947:INFO:Uploading results into container
  4237. 2022-01-17 16:06:30,947:INFO:Uploading model into container now
  4238. 2022-01-17 16:06:30,947:INFO:create_model_container: 6
  4239. 2022-01-17 16:06:30,947:INFO:master_model_container: 6
  4240. 2022-01-17 16:06:30,948:INFO:display_container: 2
  4241. 2022-01-17 16:06:30,948:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  4242. max_iter=None, normalize=False, random_state=2572,
  4243. solver='auto', tol=0.001)
  4244. 2022-01-17 16:06:30,948:INFO:create_model() succesfully completed......................................
  4245. 2022-01-17 16:06:31,054:INFO:SubProcess create_model() end ==================================
  4246. 2022-01-17 16:06:31,054:INFO:Creating metrics dataframe
  4247. 2022-01-17 16:06:31,066:INFO:Initializing Random Forest Classifier
  4248. 2022-01-17 16:06:31,067:INFO:Total runtime is 0.27807333072026574 minutes
  4249. 2022-01-17 16:06:31,072:INFO:SubProcess create_model() called ==================================
  4250. 2022-01-17 16:06:31,072:INFO:Initializing create_model()
  4251. 2022-01-17 16:06:31,072:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4252. 2022-01-17 16:06:31,073:INFO:Checking exceptions
  4253. 2022-01-17 16:06:31,073:INFO:Importing libraries
  4254. 2022-01-17 16:06:31,073:INFO:Copying training dataset
  4255. 2022-01-17 16:06:31,074:INFO:Defining folds
  4256. 2022-01-17 16:06:31,074:INFO:Declaring metric variables
  4257. 2022-01-17 16:06:31,079:INFO:Importing untrained model
  4258. 2022-01-17 16:06:31,084:INFO:Random Forest Classifier Imported succesfully
  4259. 2022-01-17 16:06:31,094:INFO:Starting cross validation
  4260. 2022-01-17 16:06:31,094:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4261. 2022-01-17 16:06:37,143:INFO:Calculating mean and std
  4262. 2022-01-17 16:06:37,144:INFO:Creating metrics dataframe
  4263. 2022-01-17 16:06:37,147:INFO:Uploading results into container
  4264. 2022-01-17 16:06:37,147:INFO:Uploading model into container now
  4265. 2022-01-17 16:06:37,147:INFO:create_model_container: 7
  4266. 2022-01-17 16:06:37,147:INFO:master_model_container: 7
  4267. 2022-01-17 16:06:37,147:INFO:display_container: 2
  4268. 2022-01-17 16:06:37,148:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4269. criterion='gini', max_depth=None, max_features='auto',
  4270. max_leaf_nodes=None, max_samples=None,
  4271. min_impurity_decrease=0.0, min_impurity_split=None,
  4272. min_samples_leaf=1, min_samples_split=2,
  4273. min_weight_fraction_leaf=0.0, n_estimators=100,
  4274. n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
  4275. warm_start=False)
  4276. 2022-01-17 16:06:37,148:INFO:create_model() succesfully completed......................................
  4277. 2022-01-17 16:06:37,216:INFO:SubProcess create_model() end ==================================
  4278. 2022-01-17 16:06:37,217:INFO:Creating metrics dataframe
  4279. 2022-01-17 16:06:37,228:INFO:Initializing Quadratic Discriminant Analysis
  4280. 2022-01-17 16:06:37,229:INFO:Total runtime is 0.3807707866032919 minutes
  4281. 2022-01-17 16:06:37,234:INFO:SubProcess create_model() called ==================================
  4282. 2022-01-17 16:06:37,235:INFO:Initializing create_model()
  4283. 2022-01-17 16:06:37,235:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4284. 2022-01-17 16:06:37,235:INFO:Checking exceptions
  4285. 2022-01-17 16:06:37,235:INFO:Importing libraries
  4286. 2022-01-17 16:06:37,235:INFO:Copying training dataset
  4287. 2022-01-17 16:06:37,236:INFO:Defining folds
  4288. 2022-01-17 16:06:37,236:INFO:Declaring metric variables
  4289. 2022-01-17 16:06:37,241:INFO:Importing untrained model
  4290. 2022-01-17 16:06:37,246:INFO:Quadratic Discriminant Analysis Imported succesfully
  4291. 2022-01-17 16:06:37,256:INFO:Starting cross validation
  4292. 2022-01-17 16:06:37,257:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4293. 2022-01-17 16:06:37,770:INFO:Calculating mean and std
  4294. 2022-01-17 16:06:37,771:INFO:Creating metrics dataframe
  4295. 2022-01-17 16:06:37,778:INFO:Uploading results into container
  4296. 2022-01-17 16:06:37,778:INFO:Uploading model into container now
  4297. 2022-01-17 16:06:37,780:INFO:create_model_container: 8
  4298. 2022-01-17 16:06:37,781:INFO:master_model_container: 8
  4299. 2022-01-17 16:06:37,781:INFO:display_container: 2
  4300. 2022-01-17 16:06:37,782:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  4301. store_covariance=False, tol=0.0001)
  4302. 2022-01-17 16:06:37,782:INFO:create_model() succesfully completed......................................
  4303. 2022-01-17 16:06:37,865:INFO:SubProcess create_model() end ==================================
  4304. 2022-01-17 16:06:37,865:INFO:Creating metrics dataframe
  4305. 2022-01-17 16:06:37,877:INFO:Initializing Ada Boost Classifier
  4306. 2022-01-17 16:06:37,878:INFO:Total runtime is 0.39158812761306766 minutes
  4307. 2022-01-17 16:06:37,883:INFO:SubProcess create_model() called ==================================
  4308. 2022-01-17 16:06:37,884:INFO:Initializing create_model()
  4309. 2022-01-17 16:06:37,884:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4310. 2022-01-17 16:06:37,884:INFO:Checking exceptions
  4311. 2022-01-17 16:06:37,884:INFO:Importing libraries
  4312. 2022-01-17 16:06:37,885:INFO:Copying training dataset
  4313. 2022-01-17 16:06:37,886:INFO:Defining folds
  4314. 2022-01-17 16:06:37,886:INFO:Declaring metric variables
  4315. 2022-01-17 16:06:37,891:INFO:Importing untrained model
  4316. 2022-01-17 16:06:37,897:INFO:Ada Boost Classifier Imported succesfully
  4317. 2022-01-17 16:06:37,909:INFO:Starting cross validation
  4318. 2022-01-17 16:06:37,910:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4319. 2022-01-17 16:06:42,135:INFO:Calculating mean and std
  4320. 2022-01-17 16:06:42,136:INFO:Creating metrics dataframe
  4321. 2022-01-17 16:06:42,139:INFO:Uploading results into container
  4322. 2022-01-17 16:06:42,139:INFO:Uploading model into container now
  4323. 2022-01-17 16:06:42,139:INFO:create_model_container: 9
  4324. 2022-01-17 16:06:42,139:INFO:master_model_container: 9
  4325. 2022-01-17 16:06:42,139:INFO:display_container: 2
  4326. 2022-01-17 16:06:42,140:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  4327. n_estimators=50, random_state=2572)
  4328. 2022-01-17 16:06:42,140:INFO:create_model() succesfully completed......................................
  4329. 2022-01-17 16:06:42,215:INFO:SubProcess create_model() end ==================================
  4330. 2022-01-17 16:06:42,215:INFO:Creating metrics dataframe
  4331. 2022-01-17 16:06:42,228:INFO:Initializing Gradient Boosting Classifier
  4332. 2022-01-17 16:06:42,228:INFO:Total runtime is 0.4641005595525106 minutes
  4333. 2022-01-17 16:06:42,234:INFO:SubProcess create_model() called ==================================
  4334. 2022-01-17 16:06:42,234:INFO:Initializing create_model()
  4335. 2022-01-17 16:06:42,234:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4336. 2022-01-17 16:06:42,234:INFO:Checking exceptions
  4337. 2022-01-17 16:06:42,234:INFO:Importing libraries
  4338. 2022-01-17 16:06:42,235:INFO:Copying training dataset
  4339. 2022-01-17 16:06:42,236:INFO:Defining folds
  4340. 2022-01-17 16:06:42,236:INFO:Declaring metric variables
  4341. 2022-01-17 16:06:42,240:INFO:Importing untrained model
  4342. 2022-01-17 16:06:42,246:INFO:Gradient Boosting Classifier Imported succesfully
  4343. 2022-01-17 16:06:42,255:INFO:Starting cross validation
  4344. 2022-01-17 16:06:42,256:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4345. 2022-01-17 16:06:55,382:INFO:Calculating mean and std
  4346. 2022-01-17 16:06:55,383:INFO:Creating metrics dataframe
  4347. 2022-01-17 16:06:55,386:INFO:Uploading results into container
  4348. 2022-01-17 16:06:55,386:INFO:Uploading model into container now
  4349. 2022-01-17 16:06:55,386:INFO:create_model_container: 10
  4350. 2022-01-17 16:06:55,386:INFO:master_model_container: 10
  4351. 2022-01-17 16:06:55,386:INFO:display_container: 2
  4352. 2022-01-17 16:06:55,387:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  4353. learning_rate=0.1, loss='deviance', max_depth=3,
  4354. max_features=None, max_leaf_nodes=None,
  4355. min_impurity_decrease=0.0, min_impurity_split=None,
  4356. min_samples_leaf=1, min_samples_split=2,
  4357. min_weight_fraction_leaf=0.0, n_estimators=100,
  4358. n_iter_no_change=None, presort='deprecated',
  4359. random_state=2572, subsample=1.0, tol=0.0001,
  4360. validation_fraction=0.1, verbose=0,
  4361. warm_start=False)
  4362. 2022-01-17 16:06:55,387:INFO:create_model() succesfully completed......................................
  4363. 2022-01-17 16:06:55,453:INFO:SubProcess create_model() end ==================================
  4364. 2022-01-17 16:06:55,453:INFO:Creating metrics dataframe
  4365. 2022-01-17 16:06:55,466:INFO:Initializing Linear Discriminant Analysis
  4366. 2022-01-17 16:06:55,466:INFO:Total runtime is 0.68473326365153 minutes
  4367. 2022-01-17 16:06:55,472:INFO:SubProcess create_model() called ==================================
  4368. 2022-01-17 16:06:55,472:INFO:Initializing create_model()
  4369. 2022-01-17 16:06:55,472:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4370. 2022-01-17 16:06:55,472:INFO:Checking exceptions
  4371. 2022-01-17 16:06:55,473:INFO:Importing libraries
  4372. 2022-01-17 16:06:55,473:INFO:Copying training dataset
  4373. 2022-01-17 16:06:55,474:INFO:Defining folds
  4374. 2022-01-17 16:06:55,474:INFO:Declaring metric variables
  4375. 2022-01-17 16:06:55,479:INFO:Importing untrained model
  4376. 2022-01-17 16:06:55,484:INFO:Linear Discriminant Analysis Imported succesfully
  4377. 2022-01-17 16:06:55,494:INFO:Starting cross validation
  4378. 2022-01-17 16:06:55,495:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4379. 2022-01-17 16:06:56,723:INFO:Calculating mean and std
  4380. 2022-01-17 16:06:56,727:INFO:Creating metrics dataframe
  4381. 2022-01-17 16:06:56,732:INFO:Uploading results into container
  4382. 2022-01-17 16:06:56,732:INFO:Uploading model into container now
  4383. 2022-01-17 16:06:56,732:INFO:create_model_container: 11
  4384. 2022-01-17 16:06:56,733:INFO:master_model_container: 11
  4385. 2022-01-17 16:06:56,733:INFO:display_container: 2
  4386. 2022-01-17 16:06:56,733:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  4387. solver='svd', store_covariance=False, tol=0.0001)
  4388. 2022-01-17 16:06:56,733:INFO:create_model() succesfully completed......................................
  4389. 2022-01-17 16:06:56,827:INFO:SubProcess create_model() end ==================================
  4390. 2022-01-17 16:06:56,828:INFO:Creating metrics dataframe
  4391. 2022-01-17 16:06:56,840:INFO:Initializing Extra Trees Classifier
  4392. 2022-01-17 16:06:56,841:INFO:Total runtime is 0.7076396306355794 minutes
  4393. 2022-01-17 16:06:56,846:INFO:SubProcess create_model() called ==================================
  4394. 2022-01-17 16:06:56,846:INFO:Initializing create_model()
  4395. 2022-01-17 16:06:56,847:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4396. 2022-01-17 16:06:56,847:INFO:Checking exceptions
  4397. 2022-01-17 16:06:56,847:INFO:Importing libraries
  4398. 2022-01-17 16:06:56,847:INFO:Copying training dataset
  4399. 2022-01-17 16:06:56,848:INFO:Defining folds
  4400. 2022-01-17 16:06:56,848:INFO:Declaring metric variables
  4401. 2022-01-17 16:06:56,853:INFO:Importing untrained model
  4402. 2022-01-17 16:06:56,858:INFO:Extra Trees Classifier Imported succesfully
  4403. 2022-01-17 16:06:56,868:INFO:Starting cross validation
  4404. 2022-01-17 16:06:56,868:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4405. 2022-01-17 16:07:02,994:INFO:Calculating mean and std
  4406. 2022-01-17 16:07:02,995:INFO:Creating metrics dataframe
  4407. 2022-01-17 16:07:02,998:INFO:Uploading results into container
  4408. 2022-01-17 16:07:02,998:INFO:Uploading model into container now
  4409. 2022-01-17 16:07:02,998:INFO:create_model_container: 12
  4410. 2022-01-17 16:07:02,998:INFO:master_model_container: 12
  4411. 2022-01-17 16:07:02,998:INFO:display_container: 2
  4412. 2022-01-17 16:07:02,999:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  4413. criterion='gini', max_depth=None, max_features='auto',
  4414. max_leaf_nodes=None, max_samples=None,
  4415. min_impurity_decrease=0.0, min_impurity_split=None,
  4416. min_samples_leaf=1, min_samples_split=2,
  4417. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  4418. oob_score=False, random_state=2572, verbose=0,
  4419. warm_start=False)
  4420. 2022-01-17 16:07:02,999:INFO:create_model() succesfully completed......................................
  4421. 2022-01-17 16:07:03,071:INFO:SubProcess create_model() end ==================================
  4422. 2022-01-17 16:07:03,072:INFO:Creating metrics dataframe
  4423. 2022-01-17 16:07:03,085:INFO:Initializing Light Gradient Boosting Machine
  4424. 2022-01-17 16:07:03,085:INFO:Total runtime is 0.8117074847221375 minutes
  4425. 2022-01-17 16:07:03,090:INFO:SubProcess create_model() called ==================================
  4426. 2022-01-17 16:07:03,090:INFO:Initializing create_model()
  4427. 2022-01-17 16:07:03,091:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4428. 2022-01-17 16:07:03,091:INFO:Checking exceptions
  4429. 2022-01-17 16:07:03,091:INFO:Importing libraries
  4430. 2022-01-17 16:07:03,091:INFO:Copying training dataset
  4431. 2022-01-17 16:07:03,092:INFO:Defining folds
  4432. 2022-01-17 16:07:03,093:INFO:Declaring metric variables
  4433. 2022-01-17 16:07:03,098:INFO:Importing untrained model
  4434. 2022-01-17 16:07:03,103:INFO:Light Gradient Boosting Machine Imported succesfully
  4435. 2022-01-17 16:07:03,113:INFO:Starting cross validation
  4436. 2022-01-17 16:07:03,114:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4437. 2022-01-17 16:07:05,386:INFO:Calculating mean and std
  4438. 2022-01-17 16:07:05,387:INFO:Creating metrics dataframe
  4439. 2022-01-17 16:07:05,390:INFO:Uploading results into container
  4440. 2022-01-17 16:07:05,390:INFO:Uploading model into container now
  4441. 2022-01-17 16:07:05,390:INFO:create_model_container: 13
  4442. 2022-01-17 16:07:05,390:INFO:master_model_container: 13
  4443. 2022-01-17 16:07:05,390:INFO:display_container: 2
  4444. 2022-01-17 16:07:05,391:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  4445. importance_type='split', learning_rate=0.1, max_depth=-1,
  4446. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  4447. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  4448. random_state=2572, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  4449. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  4450. 2022-01-17 16:07:05,391:INFO:create_model() succesfully completed......................................
  4451. 2022-01-17 16:07:05,458:INFO:SubProcess create_model() end ==================================
  4452. 2022-01-17 16:07:05,459:INFO:Creating metrics dataframe
  4453. 2022-01-17 16:07:05,472:INFO:Initializing Dummy Classifier
  4454. 2022-01-17 16:07:05,472:INFO:Total runtime is 0.851492468516032 minutes
  4455. 2022-01-17 16:07:05,478:INFO:SubProcess create_model() called ==================================
  4456. 2022-01-17 16:07:05,478:INFO:Initializing create_model()
  4457. 2022-01-17 16:07:05,478:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4458. 2022-01-17 16:07:05,478:INFO:Checking exceptions
  4459. 2022-01-17 16:07:05,478:INFO:Importing libraries
  4460. 2022-01-17 16:07:05,479:INFO:Copying training dataset
  4461. 2022-01-17 16:07:05,480:INFO:Defining folds
  4462. 2022-01-17 16:07:05,480:INFO:Declaring metric variables
  4463. 2022-01-17 16:07:05,484:INFO:Importing untrained model
  4464. 2022-01-17 16:07:05,489:INFO:Dummy Classifier Imported succesfully
  4465. 2022-01-17 16:07:05,499:INFO:Starting cross validation
  4466. 2022-01-17 16:07:05,500:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4467. 2022-01-17 16:07:05,587:INFO:Calculating mean and std
  4468. 2022-01-17 16:07:05,587:INFO:Creating metrics dataframe
  4469. 2022-01-17 16:07:05,590:INFO:Uploading results into container
  4470. 2022-01-17 16:07:05,590:INFO:Uploading model into container now
  4471. 2022-01-17 16:07:05,590:INFO:create_model_container: 14
  4472. 2022-01-17 16:07:05,590:INFO:master_model_container: 14
  4473. 2022-01-17 16:07:05,590:INFO:display_container: 2
  4474. 2022-01-17 16:07:05,591:INFO:DummyClassifier(constant=None, random_state=2572, strategy='prior')
  4475. 2022-01-17 16:07:05,591:INFO:create_model() succesfully completed......................................
  4476. 2022-01-17 16:07:05,656:INFO:SubProcess create_model() end ==================================
  4477. 2022-01-17 16:07:05,656:INFO:Creating metrics dataframe
  4478. 2022-01-17 16:07:05,683:INFO:Initializing create_model()
  4479. 2022-01-17 16:07:05,684:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4480. criterion='gini', max_depth=None, max_features='auto',
  4481. max_leaf_nodes=None, max_samples=None,
  4482. min_impurity_decrease=0.0, min_impurity_split=None,
  4483. min_samples_leaf=1, min_samples_split=2,
  4484. min_weight_fraction_leaf=0.0, n_estimators=100,
  4485. n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
  4486. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  4487. 2022-01-17 16:07:05,684:INFO:Checking exceptions
  4488. 2022-01-17 16:07:05,684:INFO:Importing libraries
  4489. 2022-01-17 16:07:05,684:INFO:Copying training dataset
  4490. 2022-01-17 16:07:05,685:INFO:Defining folds
  4491. 2022-01-17 16:07:05,685:INFO:Declaring metric variables
  4492. 2022-01-17 16:07:05,685:INFO:Importing untrained model
  4493. 2022-01-17 16:07:05,685:INFO:Declaring custom model
  4494. 2022-01-17 16:07:05,686:INFO:Random Forest Classifier Imported succesfully
  4495. 2022-01-17 16:07:05,686:INFO:Cross validation set to False
  4496. 2022-01-17 16:07:05,686:INFO:Fitting Model
  4497. 2022-01-17 16:07:06,011:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4498. criterion='gini', max_depth=None, max_features='auto',
  4499. max_leaf_nodes=None, max_samples=None,
  4500. min_impurity_decrease=0.0, min_impurity_split=None,
  4501. min_samples_leaf=1, min_samples_split=2,
  4502. min_weight_fraction_leaf=0.0, n_estimators=100,
  4503. n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
  4504. warm_start=False)
  4505. 2022-01-17 16:07:06,012:INFO:create_models() succesfully completed......................................
  4506. 2022-01-17 16:07:06,114:INFO:create_model_container: 14
  4507. 2022-01-17 16:07:06,114:INFO:master_model_container: 14
  4508. 2022-01-17 16:07:06,114:INFO:display_container: 2
  4509. 2022-01-17 16:07:06,115:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4510. criterion='gini', max_depth=None, max_features='auto',
  4511. max_leaf_nodes=None, max_samples=None,
  4512. min_impurity_decrease=0.0, min_impurity_split=None,
  4513. min_samples_leaf=1, min_samples_split=2,
  4514. min_weight_fraction_leaf=0.0, n_estimators=100,
  4515. n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
  4516. warm_start=False)
  4517. 2022-01-17 16:07:06,115:INFO:compare_models() succesfully completed......................................
  4518. 2022-01-17 16:07:30,718:INFO:Initializing create_model()
  4519. 2022-01-17 16:07:30,719:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  4520. 2022-01-17 16:07:30,719:INFO:Checking exceptions
  4521. 2022-01-17 16:07:30,719:INFO:Preparing display monitor
  4522. 2022-01-17 16:07:30,730:INFO:Importing libraries
  4523. 2022-01-17 16:07:30,730:INFO:Copying training dataset
  4524. 2022-01-17 16:07:30,731:INFO:Defining folds
  4525. 2022-01-17 16:07:30,731:INFO:Declaring metric variables
  4526. 2022-01-17 16:07:30,736:INFO:Importing untrained model
  4527. 2022-01-17 16:07:30,741:INFO:Decision Tree Classifier Imported succesfully
  4528. 2022-01-17 16:07:30,752:INFO:Starting cross validation
  4529. 2022-01-17 16:07:30,752:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4530. 2022-01-17 16:07:31,324:INFO:Calculating mean and std
  4531. 2022-01-17 16:07:31,325:INFO:Creating metrics dataframe
  4532. 2022-01-17 16:07:31,332:INFO:Finalizing model
  4533. 2022-01-17 16:07:31,386:INFO:Uploading results into container
  4534. 2022-01-17 16:07:31,386:INFO:Uploading model into container now
  4535. 2022-01-17 16:07:31,397:INFO:create_model_container: 15
  4536. 2022-01-17 16:07:31,397:INFO:master_model_container: 15
  4537. 2022-01-17 16:07:31,397:INFO:display_container: 3
  4538. 2022-01-17 16:07:31,397:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4539. max_depth=None, max_features=None, max_leaf_nodes=None,
  4540. min_impurity_decrease=0.0, min_impurity_split=None,
  4541. min_samples_leaf=1, min_samples_split=2,
  4542. min_weight_fraction_leaf=0.0, presort='deprecated',
  4543. random_state=2572, splitter='best')
  4544. 2022-01-17 16:07:31,398:INFO:create_model() succesfully completed......................................
  4545. 2022-01-17 16:08:27,484:INFO:Initializing evaluate_model()
  4546. 2022-01-17 16:08:27,484:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4547. max_depth=None, max_features=None, max_leaf_nodes=None,
  4548. min_impurity_decrease=0.0, min_impurity_split=None,
  4549. min_samples_leaf=1, min_samples_split=2,
  4550. min_weight_fraction_leaf=0.0, presort='deprecated',
  4551. random_state=2572, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  4552. 2022-01-17 16:08:27,496:INFO:Initializing plot_model()
  4553. 2022-01-17 16:08:27,497:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4554. max_depth=None, max_features=None, max_leaf_nodes=None,
  4555. min_impurity_decrease=0.0, min_impurity_split=None,
  4556. min_samples_leaf=1, min_samples_split=2,
  4557. min_weight_fraction_leaf=0.0, presort='deprecated',
  4558. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  4559. 2022-01-17 16:08:27,497:INFO:Checking exceptions
  4560. 2022-01-17 16:08:27,498:INFO:Preparing display monitor
  4561. 2022-01-17 16:08:27,502:INFO:Preloading libraries
  4562. 2022-01-17 16:08:27,503:INFO:Copying training dataset
  4563. 2022-01-17 16:08:27,503:INFO:Copying test dataset
  4564. 2022-01-17 16:08:27,504:INFO:Plot type: parameter
  4565. 2022-01-17 16:08:27,508:INFO:Visual Rendered Successfully
  4566. 2022-01-17 16:08:27,581:INFO:plot_model() succesfully completed......................................
  4567. 2022-01-17 16:08:34,477:INFO:Initializing plot_model()
  4568. 2022-01-17 16:08:34,477:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4569. max_depth=None, max_features=None, max_leaf_nodes=None,
  4570. min_impurity_decrease=0.0, min_impurity_split=None,
  4571. min_samples_leaf=1, min_samples_split=2,
  4572. min_weight_fraction_leaf=0.0, presort='deprecated',
  4573. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  4574. 2022-01-17 16:08:34,478:INFO:Checking exceptions
  4575. 2022-01-17 16:08:34,478:INFO:Preparing display monitor
  4576. 2022-01-17 16:08:34,482:INFO:Preloading libraries
  4577. 2022-01-17 16:08:34,483:INFO:Copying training dataset
  4578. 2022-01-17 16:08:34,484:INFO:Copying test dataset
  4579. 2022-01-17 16:08:34,484:INFO:Plot type: auc
  4580. 2022-01-17 16:08:34,485:INFO:Initializing get_config()
  4581. 2022-01-17 16:08:34,485:INFO:get_config(variable=prep_pipe)
  4582. 2022-01-17 16:08:34,488:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  4583. steps=[('dtypes',
  4584. DataTypes_Auto_infer(categorical_features=[],
  4585. display_types=True, features_todrop=[],
  4586. id_columns=[],
  4587. ml_usecase='classification',
  4588. numerical_features=[], target='label',
  4589. time_features=[])),
  4590. ('imputer',
  4591. Simple_Imputer(categorical_strategy='not_available',
  4592. fill_value_categorical=None,
  4593. fill_value_numerical=None,
  4594. numeric_strate...
  4595. target='label')),
  4596. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  4597. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  4598. ('dummy', Dummify(target='label')),
  4599. ('fix_perfect', Remove_100(target='label')),
  4600. ('clean_names', Clean_Colum_Names()),
  4601. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  4602. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  4603. verbose=False)
  4604. 2022-01-17 16:08:34,489:INFO:get_config() succesfully completed......................................
  4605. 2022-01-17 16:08:34,489:INFO:Fitting Model
  4606. 2022-01-17 16:08:34,491:INFO:Scoring test/hold-out set
  4607. 2022-01-17 16:08:34,605:INFO:Visual Rendered Successfully
  4608. 2022-01-17 16:08:34,676:INFO:plot_model() succesfully completed......................................
  4609. 2022-01-17 16:08:37,545:INFO:Initializing plot_model()
  4610. 2022-01-17 16:08:37,546:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4611. max_depth=None, max_features=None, max_leaf_nodes=None,
  4612. min_impurity_decrease=0.0, min_impurity_split=None,
  4613. min_samples_leaf=1, min_samples_split=2,
  4614. min_weight_fraction_leaf=0.0, presort='deprecated',
  4615. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  4616. 2022-01-17 16:08:37,546:INFO:Checking exceptions
  4617. 2022-01-17 16:08:37,547:INFO:Preparing display monitor
  4618. 2022-01-17 16:08:37,550:INFO:Preloading libraries
  4619. 2022-01-17 16:08:37,551:INFO:Copying training dataset
  4620. 2022-01-17 16:08:37,552:INFO:Copying test dataset
  4621. 2022-01-17 16:08:37,552:INFO:Plot type: confusion_matrix
  4622. 2022-01-17 16:08:37,553:INFO:Initializing get_config()
  4623. 2022-01-17 16:08:37,553:INFO:get_config(variable=prep_pipe)
  4624. 2022-01-17 16:08:37,557:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  4625. steps=[('dtypes',
  4626. DataTypes_Auto_infer(categorical_features=[],
  4627. display_types=True, features_todrop=[],
  4628. id_columns=[],
  4629. ml_usecase='classification',
  4630. numerical_features=[], target='label',
  4631. time_features=[])),
  4632. ('imputer',
  4633. Simple_Imputer(categorical_strategy='not_available',
  4634. fill_value_categorical=None,
  4635. fill_value_numerical=None,
  4636. numeric_strate...
  4637. target='label')),
  4638. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  4639. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  4640. ('dummy', Dummify(target='label')),
  4641. ('fix_perfect', Remove_100(target='label')),
  4642. ('clean_names', Clean_Colum_Names()),
  4643. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  4644. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  4645. verbose=False)
  4646. 2022-01-17 16:08:37,557:INFO:get_config() succesfully completed......................................
  4647. 2022-01-17 16:08:37,557:INFO:Fitting Model
  4648. 2022-01-17 16:08:37,558:INFO:Scoring test/hold-out set
  4649. 2022-01-17 16:08:37,638:INFO:Visual Rendered Successfully
  4650. 2022-01-17 16:08:37,708:INFO:plot_model() succesfully completed......................................
  4651. 2022-01-17 16:09:01,636:INFO:Initializing plot_model()
  4652. 2022-01-17 16:09:01,636:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4653. max_depth=None, max_features=None, max_leaf_nodes=None,
  4654. min_impurity_decrease=0.0, min_impurity_split=None,
  4655. min_samples_leaf=1, min_samples_split=2,
  4656. min_weight_fraction_leaf=0.0, presort='deprecated',
  4657. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  4658. 2022-01-17 16:09:01,637:INFO:Checking exceptions
  4659. 2022-01-17 16:09:01,637:INFO:Preparing display monitor
  4660. 2022-01-17 16:09:01,641:INFO:Preloading libraries
  4661. 2022-01-17 16:09:01,642:INFO:Copying training dataset
  4662. 2022-01-17 16:09:01,643:INFO:Copying test dataset
  4663. 2022-01-17 16:09:01,643:INFO:Plot type: pr
  4664. 2022-01-17 16:09:01,644:INFO:Fitting Model
  4665. 2022-01-17 16:09:01,646:INFO:Scoring test/hold-out set
  4666. 2022-01-17 16:09:01,732:INFO:Visual Rendered Successfully
  4667. 2022-01-17 16:09:01,803:INFO:plot_model() succesfully completed......................................
  4668. 2022-01-17 16:09:05,381:INFO:Initializing plot_model()
  4669. 2022-01-17 16:09:05,382:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4670. max_depth=None, max_features=None, max_leaf_nodes=None,
  4671. min_impurity_decrease=0.0, min_impurity_split=None,
  4672. min_samples_leaf=1, min_samples_split=2,
  4673. min_weight_fraction_leaf=0.0, presort='deprecated',
  4674. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  4675. 2022-01-17 16:09:05,382:INFO:Checking exceptions
  4676. 2022-01-17 16:09:05,383:INFO:Preparing display monitor
  4677. 2022-01-17 16:09:05,386:INFO:Preloading libraries
  4678. 2022-01-17 16:09:05,387:INFO:Copying training dataset
  4679. 2022-01-17 16:09:05,388:INFO:Copying test dataset
  4680. 2022-01-17 16:09:05,388:INFO:Plot type: feature
  4681. 2022-01-17 16:09:05,389:WARNING:No coef_ found. Trying feature_importances_
  4682. 2022-01-17 16:09:05,470:INFO:Visual Rendered Successfully
  4683. 2022-01-17 16:09:05,538:INFO:plot_model() succesfully completed......................................
  4684. 2022-01-17 16:15:33,936:INFO:PyCaret Supervised Module
  4685. 2022-01-17 16:15:33,937:INFO:ML Usecase: classification
  4686. 2022-01-17 16:15:33,937:INFO:version 2.3.6
  4687. 2022-01-17 16:15:33,937:INFO:Initializing setup()
  4688. 2022-01-17 16:15:33,937:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  4689. 2022-01-17 16:15:33,937:INFO:Checking environment
  4690. 2022-01-17 16:15:33,937:INFO:python_version: 3.8.8
  4691. 2022-01-17 16:15:33,938:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  4692. 2022-01-17 16:15:33,938:INFO:machine: x86_64
  4693. 2022-01-17 16:15:33,938:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  4694. 2022-01-17 16:15:33,938:INFO:Memory: svmem(total=33619935232, available=28995649536, percent=13.8, used=3777806336, free=26403004416, active=1217720320, inactive=5390462976, buffers=606359552, cached=2832764928, shared=383610880, slab=303616000)
  4695. 2022-01-17 16:15:33,939:INFO:Physical Core: 16
  4696. 2022-01-17 16:15:33,939:INFO:Logical Core: 32
  4697. 2022-01-17 16:15:33,939:INFO:Checking libraries
  4698. 2022-01-17 16:15:33,939:INFO:pd==1.2.4
  4699. 2022-01-17 16:15:33,940:INFO:numpy==1.19.5
  4700. 2022-01-17 16:15:33,940:INFO:sklearn==0.23.2
  4701. 2022-01-17 16:15:33,940:INFO:lightgbm==3.3.2
  4702. 2022-01-17 16:15:33,941:WARNING:catboost not found
  4703. 2022-01-17 16:15:33,941:WARNING:xgboost not found
  4704. 2022-01-17 16:15:33,941:INFO:mlflow==1.22.0
  4705. 2022-01-17 16:15:33,942:INFO:Checking Exceptions
  4706. 2022-01-17 16:15:33,942:INFO:Declaring global variables
  4707. 2022-01-17 16:15:33,942:INFO:USI: bd4e
  4708. 2022-01-17 16:15:33,942:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  4709. 2022-01-17 16:15:33,942:INFO:Preparing display monitor
  4710. 2022-01-17 16:15:33,943:INFO:Preparing display monitor
  4711. 2022-01-17 16:15:33,954:INFO:Importing libraries
  4712. 2022-01-17 16:15:33,954:INFO:Copying data for preprocessing
  4713. 2022-01-17 16:15:33,962:INFO:Declaring preprocessing parameters
  4714. 2022-01-17 16:15:33,962:WARNING:cuML not found
  4715. 2022-01-17 16:15:33,963:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  4716. 2022-01-17 16:15:33,967:INFO:Creating preprocessing pipeline
  4717. 2022-01-17 16:15:34,012:INFO:Preprocessing pipeline created successfully
  4718. 2022-01-17 16:15:34,012:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  4719. 2022-01-17 16:15:34,013:INFO:Creating global containers
  4720. 2022-01-17 16:15:34,013:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  4721. 2022-01-17 16:15:37,107:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  4722. 2022-01-17 16:15:37,137:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  4723. 2022-01-17 16:15:37,138:WARNING:Couldn't import cuml.MBSGDClassifier
  4724. 2022-01-17 16:15:37,139:WARNING:Couldn't import cuml.svm.SVC
  4725. 2022-01-17 16:15:37,154:WARNING:Couldn't import cuml.linear_model
  4726. 2022-01-17 16:15:37,157:WARNING:Couldn't import cuml.ensemble
  4727. 2022-01-17 16:15:37,159:WARNING:Couldn't import xgboost.XGBClassifier
  4728. 2022-01-17 16:15:37,166:WARNING:Couldn't import catboost.CatBoostClassifier
  4729. 2022-01-17 16:15:37,167:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  4730. 2022-01-17 16:15:37,198:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  4731. 2022-01-17 16:15:37,199:WARNING:Couldn't import cuml.MBSGDClassifier
  4732. 2022-01-17 16:15:37,200:WARNING:Couldn't import cuml.svm.SVC
  4733. 2022-01-17 16:15:37,215:WARNING:Couldn't import cuml.linear_model
  4734. 2022-01-17 16:15:37,218:WARNING:Couldn't import cuml.ensemble
  4735. 2022-01-17 16:15:37,220:WARNING:Couldn't import xgboost.XGBClassifier
  4736. 2022-01-17 16:15:37,224:WARNING:Couldn't import catboost.CatBoostClassifier
  4737. 2022-01-17 16:15:37,224:INFO:Creating grid variables
  4738. 2022-01-17 16:15:37,237:INFO:create_model_container: 0
  4739. 2022-01-17 16:15:37,238:INFO:master_model_container: 0
  4740. 2022-01-17 16:15:37,238:INFO:display_container: 1
  4741. 2022-01-17 16:15:37,241:INFO:Pipeline(memory=None,
  4742. steps=[('dtypes',
  4743. DataTypes_Auto_infer(categorical_features=[],
  4744. display_types=True, features_todrop=[],
  4745. id_columns=[],
  4746. ml_usecase='classification',
  4747. numerical_features=[], target='label',
  4748. time_features=[])),
  4749. ('imputer',
  4750. Simple_Imputer(categorical_strategy='not_available',
  4751. fill_value_categorical=None,
  4752. fill_value_numerical=None,
  4753. numeric_strate...
  4754. target='label')),
  4755. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  4756. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  4757. ('dummy', Dummify(target='label')),
  4758. ('fix_perfect', Remove_100(target='label')),
  4759. ('clean_names', Clean_Colum_Names()),
  4760. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  4761. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  4762. verbose=False)
  4763. 2022-01-17 16:15:37,241:INFO:setup() succesfully completed......................................
  4764. 2022-01-17 16:15:52,465:INFO:Initializing compare_models()
  4765. 2022-01-17 16:15:52,465:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  4766. 2022-01-17 16:15:52,466:INFO:Checking exceptions
  4767. 2022-01-17 16:15:52,467:INFO:Preparing display monitor
  4768. 2022-01-17 16:15:52,467:INFO:Preparing display monitor
  4769. 2022-01-17 16:15:52,483:INFO:Initializing Logistic Regression
  4770. 2022-01-17 16:15:52,484:INFO:Total runtime is 5.070368448893229e-06 minutes
  4771. 2022-01-17 16:15:52,489:INFO:SubProcess create_model() called ==================================
  4772. 2022-01-17 16:15:52,489:INFO:Initializing create_model()
  4773. 2022-01-17 16:15:52,489:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4774. 2022-01-17 16:15:52,489:INFO:Checking exceptions
  4775. 2022-01-17 16:15:52,490:INFO:Importing libraries
  4776. 2022-01-17 16:15:52,490:INFO:Copying training dataset
  4777. 2022-01-17 16:15:52,491:INFO:Defining folds
  4778. 2022-01-17 16:15:52,491:INFO:Declaring metric variables
  4779. 2022-01-17 16:15:52,496:INFO:Importing untrained model
  4780. 2022-01-17 16:15:52,503:INFO:Logistic Regression Imported succesfully
  4781. 2022-01-17 16:15:52,514:INFO:Starting cross validation
  4782. 2022-01-17 16:15:52,515:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4783. 2022-01-17 16:16:01,519:INFO:Calculating mean and std
  4784. 2022-01-17 16:16:01,520:INFO:Creating metrics dataframe
  4785. 2022-01-17 16:16:01,527:INFO:Uploading results into container
  4786. 2022-01-17 16:16:01,527:INFO:Uploading model into container now
  4787. 2022-01-17 16:16:01,527:INFO:create_model_container: 1
  4788. 2022-01-17 16:16:01,528:INFO:master_model_container: 1
  4789. 2022-01-17 16:16:01,528:INFO:display_container: 2
  4790. 2022-01-17 16:16:01,529:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  4791. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  4792. multi_class='auto', n_jobs=None, penalty='l2',
  4793. random_state=2932, solver='lbfgs', tol=0.0001, verbose=0,
  4794. warm_start=False)
  4795. 2022-01-17 16:16:01,529:INFO:create_model() succesfully completed......................................
  4796. 2022-01-17 16:16:01,610:INFO:SubProcess create_model() end ==================================
  4797. 2022-01-17 16:16:01,611:INFO:Creating metrics dataframe
  4798. 2022-01-17 16:16:01,620:INFO:Initializing K Neighbors Classifier
  4799. 2022-01-17 16:16:01,621:INFO:Total runtime is 0.1522886912027995 minutes
  4800. 2022-01-17 16:16:01,626:INFO:SubProcess create_model() called ==================================
  4801. 2022-01-17 16:16:01,626:INFO:Initializing create_model()
  4802. 2022-01-17 16:16:01,627:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4803. 2022-01-17 16:16:01,627:INFO:Checking exceptions
  4804. 2022-01-17 16:16:01,627:INFO:Importing libraries
  4805. 2022-01-17 16:16:01,627:INFO:Copying training dataset
  4806. 2022-01-17 16:16:01,628:INFO:Defining folds
  4807. 2022-01-17 16:16:01,628:INFO:Declaring metric variables
  4808. 2022-01-17 16:16:01,633:INFO:Importing untrained model
  4809. 2022-01-17 16:16:01,638:INFO:K Neighbors Classifier Imported succesfully
  4810. 2022-01-17 16:16:01,647:INFO:Starting cross validation
  4811. 2022-01-17 16:16:01,648:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4812. 2022-01-17 16:16:18,763:INFO:Calculating mean and std
  4813. 2022-01-17 16:16:18,764:INFO:Creating metrics dataframe
  4814. 2022-01-17 16:16:18,767:INFO:Uploading results into container
  4815. 2022-01-17 16:16:18,767:INFO:Uploading model into container now
  4816. 2022-01-17 16:16:18,767:INFO:create_model_container: 2
  4817. 2022-01-17 16:16:18,768:INFO:master_model_container: 2
  4818. 2022-01-17 16:16:18,768:INFO:display_container: 2
  4819. 2022-01-17 16:16:18,768:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  4820. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  4821. weights='uniform')
  4822. 2022-01-17 16:16:18,768:INFO:create_model() succesfully completed......................................
  4823. 2022-01-17 16:16:18,845:INFO:SubProcess create_model() end ==================================
  4824. 2022-01-17 16:16:18,845:INFO:Creating metrics dataframe
  4825. 2022-01-17 16:16:18,856:INFO:Initializing Naive Bayes
  4826. 2022-01-17 16:16:18,856:INFO:Total runtime is 0.43954106569290163 minutes
  4827. 2022-01-17 16:16:18,861:INFO:SubProcess create_model() called ==================================
  4828. 2022-01-17 16:16:18,862:INFO:Initializing create_model()
  4829. 2022-01-17 16:16:18,862:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4830. 2022-01-17 16:16:18,862:INFO:Checking exceptions
  4831. 2022-01-17 16:16:18,862:INFO:Importing libraries
  4832. 2022-01-17 16:16:18,862:INFO:Copying training dataset
  4833. 2022-01-17 16:16:18,864:INFO:Defining folds
  4834. 2022-01-17 16:16:18,864:INFO:Declaring metric variables
  4835. 2022-01-17 16:16:18,869:INFO:Importing untrained model
  4836. 2022-01-17 16:16:18,874:INFO:Naive Bayes Imported succesfully
  4837. 2022-01-17 16:16:18,884:INFO:Starting cross validation
  4838. 2022-01-17 16:16:18,885:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4839. 2022-01-17 16:16:19,117:INFO:Calculating mean and std
  4840. 2022-01-17 16:16:19,118:INFO:Creating metrics dataframe
  4841. 2022-01-17 16:16:19,120:INFO:Uploading results into container
  4842. 2022-01-17 16:16:19,120:INFO:Uploading model into container now
  4843. 2022-01-17 16:16:19,121:INFO:create_model_container: 3
  4844. 2022-01-17 16:16:19,121:INFO:master_model_container: 3
  4845. 2022-01-17 16:16:19,121:INFO:display_container: 2
  4846. 2022-01-17 16:16:19,121:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  4847. 2022-01-17 16:16:19,121:INFO:create_model() succesfully completed......................................
  4848. 2022-01-17 16:16:19,188:INFO:SubProcess create_model() end ==================================
  4849. 2022-01-17 16:16:19,188:INFO:Creating metrics dataframe
  4850. 2022-01-17 16:16:19,199:INFO:Initializing Decision Tree Classifier
  4851. 2022-01-17 16:16:19,199:INFO:Total runtime is 0.4452617923418681 minutes
  4852. 2022-01-17 16:16:19,204:INFO:SubProcess create_model() called ==================================
  4853. 2022-01-17 16:16:19,205:INFO:Initializing create_model()
  4854. 2022-01-17 16:16:19,205:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4855. 2022-01-17 16:16:19,205:INFO:Checking exceptions
  4856. 2022-01-17 16:16:19,205:INFO:Importing libraries
  4857. 2022-01-17 16:16:19,205:INFO:Copying training dataset
  4858. 2022-01-17 16:16:19,206:INFO:Defining folds
  4859. 2022-01-17 16:16:19,207:INFO:Declaring metric variables
  4860. 2022-01-17 16:16:19,211:INFO:Importing untrained model
  4861. 2022-01-17 16:16:19,216:INFO:Decision Tree Classifier Imported succesfully
  4862. 2022-01-17 16:16:19,226:INFO:Starting cross validation
  4863. 2022-01-17 16:16:19,226:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4864. 2022-01-17 16:16:20,417:INFO:Calculating mean and std
  4865. 2022-01-17 16:16:20,418:INFO:Creating metrics dataframe
  4866. 2022-01-17 16:16:20,421:INFO:Uploading results into container
  4867. 2022-01-17 16:16:20,421:INFO:Uploading model into container now
  4868. 2022-01-17 16:16:20,421:INFO:create_model_container: 4
  4869. 2022-01-17 16:16:20,421:INFO:master_model_container: 4
  4870. 2022-01-17 16:16:20,421:INFO:display_container: 2
  4871. 2022-01-17 16:16:20,422:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4872. max_depth=None, max_features=None, max_leaf_nodes=None,
  4873. min_impurity_decrease=0.0, min_impurity_split=None,
  4874. min_samples_leaf=1, min_samples_split=2,
  4875. min_weight_fraction_leaf=0.0, presort='deprecated',
  4876. random_state=2932, splitter='best')
  4877. 2022-01-17 16:16:20,422:INFO:create_model() succesfully completed......................................
  4878. 2022-01-17 16:16:20,493:INFO:SubProcess create_model() end ==================================
  4879. 2022-01-17 16:16:20,493:INFO:Creating metrics dataframe
  4880. 2022-01-17 16:16:20,504:INFO:Initializing SVM - Linear Kernel
  4881. 2022-01-17 16:16:20,504:INFO:Total runtime is 0.46700976689656576 minutes
  4882. 2022-01-17 16:16:20,509:INFO:SubProcess create_model() called ==================================
  4883. 2022-01-17 16:16:20,510:INFO:Initializing create_model()
  4884. 2022-01-17 16:16:20,510:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4885. 2022-01-17 16:16:20,510:INFO:Checking exceptions
  4886. 2022-01-17 16:16:20,510:INFO:Importing libraries
  4887. 2022-01-17 16:16:20,511:INFO:Copying training dataset
  4888. 2022-01-17 16:16:20,512:INFO:Defining folds
  4889. 2022-01-17 16:16:20,512:INFO:Declaring metric variables
  4890. 2022-01-17 16:16:20,517:INFO:Importing untrained model
  4891. 2022-01-17 16:16:20,522:INFO:SVM - Linear Kernel Imported succesfully
  4892. 2022-01-17 16:16:20,532:INFO:Starting cross validation
  4893. 2022-01-17 16:16:20,532:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4894. 2022-01-17 16:16:21,849:INFO:Calculating mean and std
  4895. 2022-01-17 16:16:21,851:INFO:Creating metrics dataframe
  4896. 2022-01-17 16:16:21,856:INFO:Uploading results into container
  4897. 2022-01-17 16:16:21,858:INFO:Uploading model into container now
  4898. 2022-01-17 16:16:21,862:INFO:create_model_container: 5
  4899. 2022-01-17 16:16:21,864:INFO:master_model_container: 5
  4900. 2022-01-17 16:16:21,865:INFO:display_container: 2
  4901. 2022-01-17 16:16:21,865:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  4902. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  4903. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  4904. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  4905. power_t=0.5, random_state=2932, shuffle=True, tol=0.001,
  4906. validation_fraction=0.1, verbose=0, warm_start=False)
  4907. 2022-01-17 16:16:21,868:INFO:create_model() succesfully completed......................................
  4908. 2022-01-17 16:16:21,954:INFO:SubProcess create_model() end ==================================
  4909. 2022-01-17 16:16:21,954:INFO:Creating metrics dataframe
  4910. 2022-01-17 16:16:21,966:INFO:Initializing Ridge Classifier
  4911. 2022-01-17 16:16:21,967:INFO:Total runtime is 0.49138774871826174 minutes
  4912. 2022-01-17 16:16:21,972:INFO:SubProcess create_model() called ==================================
  4913. 2022-01-17 16:16:21,972:INFO:Initializing create_model()
  4914. 2022-01-17 16:16:21,972:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4915. 2022-01-17 16:16:21,972:INFO:Checking exceptions
  4916. 2022-01-17 16:16:21,973:INFO:Importing libraries
  4917. 2022-01-17 16:16:21,973:INFO:Copying training dataset
  4918. 2022-01-17 16:16:21,974:INFO:Defining folds
  4919. 2022-01-17 16:16:21,974:INFO:Declaring metric variables
  4920. 2022-01-17 16:16:21,979:INFO:Importing untrained model
  4921. 2022-01-17 16:16:21,984:INFO:Ridge Classifier Imported succesfully
  4922. 2022-01-17 16:16:21,994:INFO:Starting cross validation
  4923. 2022-01-17 16:16:21,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4924. 2022-01-17 16:16:22,546:INFO:Calculating mean and std
  4925. 2022-01-17 16:16:22,548:INFO:Creating metrics dataframe
  4926. 2022-01-17 16:16:22,553:INFO:Uploading results into container
  4927. 2022-01-17 16:16:22,553:INFO:Uploading model into container now
  4928. 2022-01-17 16:16:22,555:INFO:create_model_container: 6
  4929. 2022-01-17 16:16:22,555:INFO:master_model_container: 6
  4930. 2022-01-17 16:16:22,556:INFO:display_container: 2
  4931. 2022-01-17 16:16:22,558:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  4932. max_iter=None, normalize=False, random_state=2932,
  4933. solver='auto', tol=0.001)
  4934. 2022-01-17 16:16:22,559:INFO:create_model() succesfully completed......................................
  4935. 2022-01-17 16:16:22,650:INFO:SubProcess create_model() end ==================================
  4936. 2022-01-17 16:16:22,650:INFO:Creating metrics dataframe
  4937. 2022-01-17 16:16:22,661:INFO:Initializing Random Forest Classifier
  4938. 2022-01-17 16:16:22,661:INFO:Total runtime is 0.5029676636060079 minutes
  4939. 2022-01-17 16:16:22,667:INFO:SubProcess create_model() called ==================================
  4940. 2022-01-17 16:16:22,667:INFO:Initializing create_model()
  4941. 2022-01-17 16:16:22,667:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4942. 2022-01-17 16:16:22,667:INFO:Checking exceptions
  4943. 2022-01-17 16:16:22,667:INFO:Importing libraries
  4944. 2022-01-17 16:16:22,668:INFO:Copying training dataset
  4945. 2022-01-17 16:16:22,669:INFO:Defining folds
  4946. 2022-01-17 16:16:22,669:INFO:Declaring metric variables
  4947. 2022-01-17 16:16:22,674:INFO:Importing untrained model
  4948. 2022-01-17 16:16:22,679:INFO:Random Forest Classifier Imported succesfully
  4949. 2022-01-17 16:16:22,690:INFO:Starting cross validation
  4950. 2022-01-17 16:16:22,690:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4951. 2022-01-17 16:16:29,214:INFO:Calculating mean and std
  4952. 2022-01-17 16:16:29,215:INFO:Creating metrics dataframe
  4953. 2022-01-17 16:16:29,217:INFO:Uploading results into container
  4954. 2022-01-17 16:16:29,218:INFO:Uploading model into container now
  4955. 2022-01-17 16:16:29,218:INFO:create_model_container: 7
  4956. 2022-01-17 16:16:29,218:INFO:master_model_container: 7
  4957. 2022-01-17 16:16:29,218:INFO:display_container: 2
  4958. 2022-01-17 16:16:29,218:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4959. criterion='gini', max_depth=None, max_features='auto',
  4960. max_leaf_nodes=None, max_samples=None,
  4961. min_impurity_decrease=0.0, min_impurity_split=None,
  4962. min_samples_leaf=1, min_samples_split=2,
  4963. min_weight_fraction_leaf=0.0, n_estimators=100,
  4964. n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
  4965. warm_start=False)
  4966. 2022-01-17 16:16:29,219:INFO:create_model() succesfully completed......................................
  4967. 2022-01-17 16:16:29,294:INFO:SubProcess create_model() end ==================================
  4968. 2022-01-17 16:16:29,295:INFO:Creating metrics dataframe
  4969. 2022-01-17 16:16:29,306:INFO:Initializing Quadratic Discriminant Analysis
  4970. 2022-01-17 16:16:29,306:INFO:Total runtime is 0.6137184937795003 minutes
  4971. 2022-01-17 16:16:29,312:INFO:SubProcess create_model() called ==================================
  4972. 2022-01-17 16:16:29,312:INFO:Initializing create_model()
  4973. 2022-01-17 16:16:29,312:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4974. 2022-01-17 16:16:29,312:INFO:Checking exceptions
  4975. 2022-01-17 16:16:29,313:INFO:Importing libraries
  4976. 2022-01-17 16:16:29,313:INFO:Copying training dataset
  4977. 2022-01-17 16:16:29,314:INFO:Defining folds
  4978. 2022-01-17 16:16:29,314:INFO:Declaring metric variables
  4979. 2022-01-17 16:16:29,319:INFO:Importing untrained model
  4980. 2022-01-17 16:16:29,323:INFO:Quadratic Discriminant Analysis Imported succesfully
  4981. 2022-01-17 16:16:29,333:INFO:Starting cross validation
  4982. 2022-01-17 16:16:29,334:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4983. 2022-01-17 16:16:30,168:INFO:Calculating mean and std
  4984. 2022-01-17 16:16:30,170:INFO:Creating metrics dataframe
  4985. 2022-01-17 16:16:30,177:INFO:Uploading results into container
  4986. 2022-01-17 16:16:30,178:INFO:Uploading model into container now
  4987. 2022-01-17 16:16:30,179:INFO:create_model_container: 8
  4988. 2022-01-17 16:16:30,179:INFO:master_model_container: 8
  4989. 2022-01-17 16:16:30,180:INFO:display_container: 2
  4990. 2022-01-17 16:16:30,180:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  4991. store_covariance=False, tol=0.0001)
  4992. 2022-01-17 16:16:30,181:INFO:create_model() succesfully completed......................................
  4993. 2022-01-17 16:16:30,265:INFO:SubProcess create_model() end ==================================
  4994. 2022-01-17 16:16:30,266:INFO:Creating metrics dataframe
  4995. 2022-01-17 16:16:30,278:INFO:Initializing Ada Boost Classifier
  4996. 2022-01-17 16:16:30,278:INFO:Total runtime is 0.6299135565757751 minutes
  4997. 2022-01-17 16:16:30,283:INFO:SubProcess create_model() called ==================================
  4998. 2022-01-17 16:16:30,284:INFO:Initializing create_model()
  4999. 2022-01-17 16:16:30,284:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5000. 2022-01-17 16:16:30,284:INFO:Checking exceptions
  5001. 2022-01-17 16:16:30,285:INFO:Importing libraries
  5002. 2022-01-17 16:16:30,285:INFO:Copying training dataset
  5003. 2022-01-17 16:16:30,286:INFO:Defining folds
  5004. 2022-01-17 16:16:30,286:INFO:Declaring metric variables
  5005. 2022-01-17 16:16:30,291:INFO:Importing untrained model
  5006. 2022-01-17 16:16:30,296:INFO:Ada Boost Classifier Imported succesfully
  5007. 2022-01-17 16:16:30,306:INFO:Starting cross validation
  5008. 2022-01-17 16:16:30,306:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5009. 2022-01-17 16:16:38,093:INFO:Calculating mean and std
  5010. 2022-01-17 16:16:38,094:INFO:Creating metrics dataframe
  5011. 2022-01-17 16:16:38,096:INFO:Uploading results into container
  5012. 2022-01-17 16:16:38,096:INFO:Uploading model into container now
  5013. 2022-01-17 16:16:38,097:INFO:create_model_container: 9
  5014. 2022-01-17 16:16:38,097:INFO:master_model_container: 9
  5015. 2022-01-17 16:16:38,097:INFO:display_container: 2
  5016. 2022-01-17 16:16:38,097:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  5017. n_estimators=50, random_state=2932)
  5018. 2022-01-17 16:16:38,097:INFO:create_model() succesfully completed......................................
  5019. 2022-01-17 16:16:38,167:INFO:SubProcess create_model() end ==================================
  5020. 2022-01-17 16:16:38,167:INFO:Creating metrics dataframe
  5021. 2022-01-17 16:16:38,180:INFO:Initializing Gradient Boosting Classifier
  5022. 2022-01-17 16:16:38,180:INFO:Total runtime is 0.7616098801294962 minutes
  5023. 2022-01-17 16:16:38,185:INFO:SubProcess create_model() called ==================================
  5024. 2022-01-17 16:16:38,186:INFO:Initializing create_model()
  5025. 2022-01-17 16:16:38,186:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5026. 2022-01-17 16:16:38,186:INFO:Checking exceptions
  5027. 2022-01-17 16:16:38,186:INFO:Importing libraries
  5028. 2022-01-17 16:16:38,186:INFO:Copying training dataset
  5029. 2022-01-17 16:16:38,187:INFO:Defining folds
  5030. 2022-01-17 16:16:38,187:INFO:Declaring metric variables
  5031. 2022-01-17 16:16:38,192:INFO:Importing untrained model
  5032. 2022-01-17 16:16:38,197:INFO:Gradient Boosting Classifier Imported succesfully
  5033. 2022-01-17 16:16:38,207:INFO:Starting cross validation
  5034. 2022-01-17 16:16:38,208:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5035. 2022-01-17 16:17:05,514:INFO:Calculating mean and std
  5036. 2022-01-17 16:17:05,515:INFO:Creating metrics dataframe
  5037. 2022-01-17 16:17:05,517:INFO:Uploading results into container
  5038. 2022-01-17 16:17:05,518:INFO:Uploading model into container now
  5039. 2022-01-17 16:17:05,518:INFO:create_model_container: 10
  5040. 2022-01-17 16:17:05,518:INFO:master_model_container: 10
  5041. 2022-01-17 16:17:05,518:INFO:display_container: 2
  5042. 2022-01-17 16:17:05,518:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  5043. learning_rate=0.1, loss='deviance', max_depth=3,
  5044. max_features=None, max_leaf_nodes=None,
  5045. min_impurity_decrease=0.0, min_impurity_split=None,
  5046. min_samples_leaf=1, min_samples_split=2,
  5047. min_weight_fraction_leaf=0.0, n_estimators=100,
  5048. n_iter_no_change=None, presort='deprecated',
  5049. random_state=2932, subsample=1.0, tol=0.0001,
  5050. validation_fraction=0.1, verbose=0,
  5051. warm_start=False)
  5052. 2022-01-17 16:17:05,519:INFO:create_model() succesfully completed......................................
  5053. 2022-01-17 16:17:05,594:INFO:SubProcess create_model() end ==================================
  5054. 2022-01-17 16:17:05,594:INFO:Creating metrics dataframe
  5055. 2022-01-17 16:17:05,607:INFO:Initializing Linear Discriminant Analysis
  5056. 2022-01-17 16:17:05,607:INFO:Total runtime is 1.218723444143931 minutes
  5057. 2022-01-17 16:17:05,612:INFO:SubProcess create_model() called ==================================
  5058. 2022-01-17 16:17:05,612:INFO:Initializing create_model()
  5059. 2022-01-17 16:17:05,613:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5060. 2022-01-17 16:17:05,613:INFO:Checking exceptions
  5061. 2022-01-17 16:17:05,613:INFO:Importing libraries
  5062. 2022-01-17 16:17:05,613:INFO:Copying training dataset
  5063. 2022-01-17 16:17:05,614:INFO:Defining folds
  5064. 2022-01-17 16:17:05,614:INFO:Declaring metric variables
  5065. 2022-01-17 16:17:05,619:INFO:Importing untrained model
  5066. 2022-01-17 16:17:05,624:INFO:Linear Discriminant Analysis Imported succesfully
  5067. 2022-01-17 16:17:05,634:INFO:Starting cross validation
  5068. 2022-01-17 16:17:05,635:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5069. 2022-01-17 16:17:07,409:INFO:Calculating mean and std
  5070. 2022-01-17 16:17:07,410:INFO:Creating metrics dataframe
  5071. 2022-01-17 16:17:07,414:INFO:Uploading results into container
  5072. 2022-01-17 16:17:07,414:INFO:Uploading model into container now
  5073. 2022-01-17 16:17:07,414:INFO:create_model_container: 11
  5074. 2022-01-17 16:17:07,415:INFO:master_model_container: 11
  5075. 2022-01-17 16:17:07,415:INFO:display_container: 2
  5076. 2022-01-17 16:17:07,415:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  5077. solver='svd', store_covariance=False, tol=0.0001)
  5078. 2022-01-17 16:17:07,415:INFO:create_model() succesfully completed......................................
  5079. 2022-01-17 16:17:07,513:INFO:SubProcess create_model() end ==================================
  5080. 2022-01-17 16:17:07,513:INFO:Creating metrics dataframe
  5081. 2022-01-17 16:17:07,526:INFO:Initializing Extra Trees Classifier
  5082. 2022-01-17 16:17:07,526:INFO:Total runtime is 1.2507105032602945 minutes
  5083. 2022-01-17 16:17:07,531:INFO:SubProcess create_model() called ==================================
  5084. 2022-01-17 16:17:07,531:INFO:Initializing create_model()
  5085. 2022-01-17 16:17:07,532:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5086. 2022-01-17 16:17:07,532:INFO:Checking exceptions
  5087. 2022-01-17 16:17:07,532:INFO:Importing libraries
  5088. 2022-01-17 16:17:07,532:INFO:Copying training dataset
  5089. 2022-01-17 16:17:07,533:INFO:Defining folds
  5090. 2022-01-17 16:17:07,534:INFO:Declaring metric variables
  5091. 2022-01-17 16:17:07,538:INFO:Importing untrained model
  5092. 2022-01-17 16:17:07,543:INFO:Extra Trees Classifier Imported succesfully
  5093. 2022-01-17 16:17:07,554:INFO:Starting cross validation
  5094. 2022-01-17 16:17:07,555:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5095. 2022-01-17 16:17:14,192:INFO:Calculating mean and std
  5096. 2022-01-17 16:17:14,193:INFO:Creating metrics dataframe
  5097. 2022-01-17 16:17:14,196:INFO:Uploading results into container
  5098. 2022-01-17 16:17:14,196:INFO:Uploading model into container now
  5099. 2022-01-17 16:17:14,196:INFO:create_model_container: 12
  5100. 2022-01-17 16:17:14,196:INFO:master_model_container: 12
  5101. 2022-01-17 16:17:14,196:INFO:display_container: 2
  5102. 2022-01-17 16:17:14,197:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  5103. criterion='gini', max_depth=None, max_features='auto',
  5104. max_leaf_nodes=None, max_samples=None,
  5105. min_impurity_decrease=0.0, min_impurity_split=None,
  5106. min_samples_leaf=1, min_samples_split=2,
  5107. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  5108. oob_score=False, random_state=2932, verbose=0,
  5109. warm_start=False)
  5110. 2022-01-17 16:17:14,197:INFO:create_model() succesfully completed......................................
  5111. 2022-01-17 16:17:14,274:INFO:SubProcess create_model() end ==================================
  5112. 2022-01-17 16:17:14,275:INFO:Creating metrics dataframe
  5113. 2022-01-17 16:17:14,288:INFO:Initializing Light Gradient Boosting Machine
  5114. 2022-01-17 16:17:14,289:INFO:Total runtime is 1.3634196678797403 minutes
  5115. 2022-01-17 16:17:14,295:INFO:SubProcess create_model() called ==================================
  5116. 2022-01-17 16:17:14,295:INFO:Initializing create_model()
  5117. 2022-01-17 16:17:14,295:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5118. 2022-01-17 16:17:14,295:INFO:Checking exceptions
  5119. 2022-01-17 16:17:14,296:INFO:Importing libraries
  5120. 2022-01-17 16:17:14,296:INFO:Copying training dataset
  5121. 2022-01-17 16:17:14,297:INFO:Defining folds
  5122. 2022-01-17 16:17:14,297:INFO:Declaring metric variables
  5123. 2022-01-17 16:17:14,302:INFO:Importing untrained model
  5124. 2022-01-17 16:17:14,307:INFO:Light Gradient Boosting Machine Imported succesfully
  5125. 2022-01-17 16:17:14,319:INFO:Starting cross validation
  5126. 2022-01-17 16:17:14,319:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5127. 2022-01-17 16:17:18,130:INFO:Calculating mean and std
  5128. 2022-01-17 16:17:18,131:INFO:Creating metrics dataframe
  5129. 2022-01-17 16:17:18,134:INFO:Uploading results into container
  5130. 2022-01-17 16:17:18,134:INFO:Uploading model into container now
  5131. 2022-01-17 16:17:18,134:INFO:create_model_container: 13
  5132. 2022-01-17 16:17:18,134:INFO:master_model_container: 13
  5133. 2022-01-17 16:17:18,135:INFO:display_container: 2
  5134. 2022-01-17 16:17:18,135:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  5135. importance_type='split', learning_rate=0.1, max_depth=-1,
  5136. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  5137. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  5138. random_state=2932, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  5139. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  5140. 2022-01-17 16:17:18,135:INFO:create_model() succesfully completed......................................
  5141. 2022-01-17 16:17:18,218:INFO:SubProcess create_model() end ==================================
  5142. 2022-01-17 16:17:18,218:INFO:Creating metrics dataframe
  5143. 2022-01-17 16:17:18,231:INFO:Initializing Dummy Classifier
  5144. 2022-01-17 16:17:18,231:INFO:Total runtime is 1.429133172829946 minutes
  5145. 2022-01-17 16:17:18,237:INFO:SubProcess create_model() called ==================================
  5146. 2022-01-17 16:17:18,237:INFO:Initializing create_model()
  5147. 2022-01-17 16:17:18,237:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5148. 2022-01-17 16:17:18,238:INFO:Checking exceptions
  5149. 2022-01-17 16:17:18,238:INFO:Importing libraries
  5150. 2022-01-17 16:17:18,238:INFO:Copying training dataset
  5151. 2022-01-17 16:17:18,239:INFO:Defining folds
  5152. 2022-01-17 16:17:18,240:INFO:Declaring metric variables
  5153. 2022-01-17 16:17:18,245:INFO:Importing untrained model
  5154. 2022-01-17 16:17:18,250:INFO:Dummy Classifier Imported succesfully
  5155. 2022-01-17 16:17:18,260:INFO:Starting cross validation
  5156. 2022-01-17 16:17:18,260:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5157. 2022-01-17 16:17:18,373:INFO:Calculating mean and std
  5158. 2022-01-17 16:17:18,374:INFO:Creating metrics dataframe
  5159. 2022-01-17 16:17:18,377:INFO:Uploading results into container
  5160. 2022-01-17 16:17:18,377:INFO:Uploading model into container now
  5161. 2022-01-17 16:17:18,378:INFO:create_model_container: 14
  5162. 2022-01-17 16:17:18,378:INFO:master_model_container: 14
  5163. 2022-01-17 16:17:18,378:INFO:display_container: 2
  5164. 2022-01-17 16:17:18,378:INFO:DummyClassifier(constant=None, random_state=2932, strategy='prior')
  5165. 2022-01-17 16:17:18,378:INFO:create_model() succesfully completed......................................
  5166. 2022-01-17 16:17:18,447:INFO:SubProcess create_model() end ==================================
  5167. 2022-01-17 16:17:18,447:INFO:Creating metrics dataframe
  5168. 2022-01-17 16:17:18,472:INFO:Initializing create_model()
  5169. 2022-01-17 16:17:18,472:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5170. criterion='gini', max_depth=None, max_features='auto',
  5171. max_leaf_nodes=None, max_samples=None,
  5172. min_impurity_decrease=0.0, min_impurity_split=None,
  5173. min_samples_leaf=1, min_samples_split=2,
  5174. min_weight_fraction_leaf=0.0, n_estimators=100,
  5175. n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
  5176. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  5177. 2022-01-17 16:17:18,472:INFO:Checking exceptions
  5178. 2022-01-17 16:17:18,472:INFO:Importing libraries
  5179. 2022-01-17 16:17:18,473:INFO:Copying training dataset
  5180. 2022-01-17 16:17:18,473:INFO:Defining folds
  5181. 2022-01-17 16:17:18,474:INFO:Declaring metric variables
  5182. 2022-01-17 16:17:18,474:INFO:Importing untrained model
  5183. 2022-01-17 16:17:18,474:INFO:Declaring custom model
  5184. 2022-01-17 16:17:18,474:INFO:Random Forest Classifier Imported succesfully
  5185. 2022-01-17 16:17:18,475:INFO:Cross validation set to False
  5186. 2022-01-17 16:17:18,475:INFO:Fitting Model
  5187. 2022-01-17 16:17:18,854:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5188. criterion='gini', max_depth=None, max_features='auto',
  5189. max_leaf_nodes=None, max_samples=None,
  5190. min_impurity_decrease=0.0, min_impurity_split=None,
  5191. min_samples_leaf=1, min_samples_split=2,
  5192. min_weight_fraction_leaf=0.0, n_estimators=100,
  5193. n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
  5194. warm_start=False)
  5195. 2022-01-17 16:17:18,854:INFO:create_models() succesfully completed......................................
  5196. 2022-01-17 16:17:18,955:INFO:create_model_container: 14
  5197. 2022-01-17 16:17:18,956:INFO:master_model_container: 14
  5198. 2022-01-17 16:17:18,956:INFO:display_container: 2
  5199. 2022-01-17 16:17:18,956:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5200. criterion='gini', max_depth=None, max_features='auto',
  5201. max_leaf_nodes=None, max_samples=None,
  5202. min_impurity_decrease=0.0, min_impurity_split=None,
  5203. min_samples_leaf=1, min_samples_split=2,
  5204. min_weight_fraction_leaf=0.0, n_estimators=100,
  5205. n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
  5206. warm_start=False)
  5207. 2022-01-17 16:17:18,956:INFO:compare_models() succesfully completed......................................
  5208. 2022-01-17 16:17:33,729:INFO:Initializing create_model()
  5209. 2022-01-17 16:17:33,729:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  5210. 2022-01-17 16:17:33,729:INFO:Checking exceptions
  5211. 2022-01-17 16:17:33,730:INFO:Preparing display monitor
  5212. 2022-01-17 16:17:33,741:INFO:Importing libraries
  5213. 2022-01-17 16:17:33,741:INFO:Copying training dataset
  5214. 2022-01-17 16:17:33,742:INFO:Defining folds
  5215. 2022-01-17 16:17:33,742:INFO:Declaring metric variables
  5216. 2022-01-17 16:17:33,747:INFO:Importing untrained model
  5217. 2022-01-17 16:17:33,753:INFO:Decision Tree Classifier Imported succesfully
  5218. 2022-01-17 16:17:33,764:INFO:Starting cross validation
  5219. 2022-01-17 16:17:33,764:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5220. 2022-01-17 16:17:34,955:INFO:Calculating mean and std
  5221. 2022-01-17 16:17:34,956:INFO:Creating metrics dataframe
  5222. 2022-01-17 16:17:34,964:INFO:Finalizing model
  5223. 2022-01-17 16:17:35,090:INFO:Uploading results into container
  5224. 2022-01-17 16:17:35,091:INFO:Uploading model into container now
  5225. 2022-01-17 16:17:35,101:INFO:create_model_container: 15
  5226. 2022-01-17 16:17:35,101:INFO:master_model_container: 15
  5227. 2022-01-17 16:17:35,101:INFO:display_container: 3
  5228. 2022-01-17 16:17:35,102:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5229. max_depth=None, max_features=None, max_leaf_nodes=None,
  5230. min_impurity_decrease=0.0, min_impurity_split=None,
  5231. min_samples_leaf=1, min_samples_split=2,
  5232. min_weight_fraction_leaf=0.0, presort='deprecated',
  5233. random_state=2932, splitter='best')
  5234. 2022-01-17 16:17:35,102:INFO:create_model() succesfully completed......................................
  5235. 2022-01-17 16:17:48,039:INFO:Initializing evaluate_model()
  5236. 2022-01-17 16:17:48,039:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5237. max_depth=None, max_features=None, max_leaf_nodes=None,
  5238. min_impurity_decrease=0.0, min_impurity_split=None,
  5239. min_samples_leaf=1, min_samples_split=2,
  5240. min_weight_fraction_leaf=0.0, presort='deprecated',
  5241. random_state=2932, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  5242. 2022-01-17 16:17:48,051:INFO:Initializing plot_model()
  5243. 2022-01-17 16:17:48,051:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5244. max_depth=None, max_features=None, max_leaf_nodes=None,
  5245. min_impurity_decrease=0.0, min_impurity_split=None,
  5246. min_samples_leaf=1, min_samples_split=2,
  5247. min_weight_fraction_leaf=0.0, presort='deprecated',
  5248. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  5249. 2022-01-17 16:17:48,051:INFO:Checking exceptions
  5250. 2022-01-17 16:17:48,052:INFO:Preparing display monitor
  5251. 2022-01-17 16:17:48,056:INFO:Preloading libraries
  5252. 2022-01-17 16:17:48,057:INFO:Copying training dataset
  5253. 2022-01-17 16:17:48,058:INFO:Copying test dataset
  5254. 2022-01-17 16:17:48,059:INFO:Plot type: parameter
  5255. 2022-01-17 16:17:48,064:INFO:Visual Rendered Successfully
  5256. 2022-01-17 16:17:48,141:INFO:plot_model() succesfully completed......................................
  5257. 2022-01-17 16:17:50,658:INFO:Initializing plot_model()
  5258. 2022-01-17 16:17:50,658:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5259. max_depth=None, max_features=None, max_leaf_nodes=None,
  5260. min_impurity_decrease=0.0, min_impurity_split=None,
  5261. min_samples_leaf=1, min_samples_split=2,
  5262. min_weight_fraction_leaf=0.0, presort='deprecated',
  5263. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  5264. 2022-01-17 16:17:50,658:INFO:Checking exceptions
  5265. 2022-01-17 16:17:50,659:INFO:Preparing display monitor
  5266. 2022-01-17 16:17:50,664:INFO:Preloading libraries
  5267. 2022-01-17 16:17:50,665:INFO:Copying training dataset
  5268. 2022-01-17 16:17:50,666:INFO:Copying test dataset
  5269. 2022-01-17 16:17:50,667:INFO:Plot type: confusion_matrix
  5270. 2022-01-17 16:17:50,668:INFO:Initializing get_config()
  5271. 2022-01-17 16:17:50,668:INFO:get_config(variable=prep_pipe)
  5272. 2022-01-17 16:17:50,672:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  5273. steps=[('dtypes',
  5274. DataTypes_Auto_infer(categorical_features=[],
  5275. display_types=True, features_todrop=[],
  5276. id_columns=[],
  5277. ml_usecase='classification',
  5278. numerical_features=[], target='label',
  5279. time_features=[])),
  5280. ('imputer',
  5281. Simple_Imputer(categorical_strategy='not_available',
  5282. fill_value_categorical=None,
  5283. fill_value_numerical=None,
  5284. numeric_strate...
  5285. target='label')),
  5286. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  5287. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  5288. ('dummy', Dummify(target='label')),
  5289. ('fix_perfect', Remove_100(target='label')),
  5290. ('clean_names', Clean_Colum_Names()),
  5291. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  5292. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  5293. verbose=False)
  5294. 2022-01-17 16:17:50,672:INFO:get_config() succesfully completed......................................
  5295. 2022-01-17 16:17:50,673:INFO:Fitting Model
  5296. 2022-01-17 16:17:50,674:INFO:Scoring test/hold-out set
  5297. 2022-01-17 16:17:50,761:INFO:Visual Rendered Successfully
  5298. 2022-01-17 16:17:50,831:INFO:plot_model() succesfully completed......................................
  5299. 2022-01-17 16:18:01,358:INFO:Initializing plot_model()
  5300. 2022-01-17 16:18:01,358:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5301. max_depth=None, max_features=None, max_leaf_nodes=None,
  5302. min_impurity_decrease=0.0, min_impurity_split=None,
  5303. min_samples_leaf=1, min_samples_split=2,
  5304. min_weight_fraction_leaf=0.0, presort='deprecated',
  5305. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  5306. 2022-01-17 16:18:01,358:INFO:Checking exceptions
  5307. 2022-01-17 16:18:01,359:INFO:Preparing display monitor
  5308. 2022-01-17 16:18:01,363:INFO:Preloading libraries
  5309. 2022-01-17 16:18:01,364:INFO:Copying training dataset
  5310. 2022-01-17 16:18:01,365:INFO:Copying test dataset
  5311. 2022-01-17 16:18:01,365:INFO:Plot type: pr
  5312. 2022-01-17 16:18:01,366:INFO:Fitting Model
  5313. 2022-01-17 16:18:01,368:INFO:Scoring test/hold-out set
  5314. 2022-01-17 16:18:01,454:INFO:Visual Rendered Successfully
  5315. 2022-01-17 16:18:01,529:INFO:plot_model() succesfully completed......................................
  5316. 2022-01-17 16:18:03,783:INFO:Initializing plot_model()
  5317. 2022-01-17 16:18:03,784:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5318. max_depth=None, max_features=None, max_leaf_nodes=None,
  5319. min_impurity_decrease=0.0, min_impurity_split=None,
  5320. min_samples_leaf=1, min_samples_split=2,
  5321. min_weight_fraction_leaf=0.0, presort='deprecated',
  5322. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  5323. 2022-01-17 16:18:03,784:INFO:Checking exceptions
  5324. 2022-01-17 16:18:03,785:INFO:Preparing display monitor
  5325. 2022-01-17 16:18:03,788:INFO:Preloading libraries
  5326. 2022-01-17 16:18:03,789:INFO:Copying training dataset
  5327. 2022-01-17 16:18:03,790:INFO:Copying test dataset
  5328. 2022-01-17 16:18:03,790:INFO:Plot type: error
  5329. 2022-01-17 16:18:03,791:INFO:Initializing get_config()
  5330. 2022-01-17 16:18:03,791:INFO:get_config(variable=prep_pipe)
  5331. 2022-01-17 16:18:03,794:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  5332. steps=[('dtypes',
  5333. DataTypes_Auto_infer(categorical_features=[],
  5334. display_types=True, features_todrop=[],
  5335. id_columns=[],
  5336. ml_usecase='classification',
  5337. numerical_features=[], target='label',
  5338. time_features=[])),
  5339. ('imputer',
  5340. Simple_Imputer(categorical_strategy='not_available',
  5341. fill_value_categorical=None,
  5342. fill_value_numerical=None,
  5343. numeric_strate...
  5344. target='label')),
  5345. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  5346. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  5347. ('dummy', Dummify(target='label')),
  5348. ('fix_perfect', Remove_100(target='label')),
  5349. ('clean_names', Clean_Colum_Names()),
  5350. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  5351. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  5352. verbose=False)
  5353. 2022-01-17 16:18:03,795:INFO:get_config() succesfully completed......................................
  5354. 2022-01-17 16:18:03,795:INFO:Fitting Model
  5355. 2022-01-17 16:18:03,796:INFO:Scoring test/hold-out set
  5356. 2022-01-17 16:18:03,890:INFO:Visual Rendered Successfully
  5357. 2022-01-17 16:18:03,965:INFO:plot_model() succesfully completed......................................
  5358. 2022-01-17 16:18:07,067:INFO:Initializing plot_model()
  5359. 2022-01-17 16:18:07,067:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5360. max_depth=None, max_features=None, max_leaf_nodes=None,
  5361. min_impurity_decrease=0.0, min_impurity_split=None,
  5362. min_samples_leaf=1, min_samples_split=2,
  5363. min_weight_fraction_leaf=0.0, presort='deprecated',
  5364. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  5365. 2022-01-17 16:18:07,068:INFO:Checking exceptions
  5366. 2022-01-17 16:18:07,068:INFO:Preparing display monitor
  5367. 2022-01-17 16:18:07,073:INFO:Preloading libraries
  5368. 2022-01-17 16:18:07,074:INFO:Copying training dataset
  5369. 2022-01-17 16:18:07,075:INFO:Copying test dataset
  5370. 2022-01-17 16:18:07,075:INFO:Plot type: class_report
  5371. 2022-01-17 16:18:07,076:INFO:Initializing get_config()
  5372. 2022-01-17 16:18:07,076:INFO:get_config(variable=prep_pipe)
  5373. 2022-01-17 16:18:07,079:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  5374. steps=[('dtypes',
  5375. DataTypes_Auto_infer(categorical_features=[],
  5376. display_types=True, features_todrop=[],
  5377. id_columns=[],
  5378. ml_usecase='classification',
  5379. numerical_features=[], target='label',
  5380. time_features=[])),
  5381. ('imputer',
  5382. Simple_Imputer(categorical_strategy='not_available',
  5383. fill_value_categorical=None,
  5384. fill_value_numerical=None,
  5385. numeric_strate...
  5386. target='label')),
  5387. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  5388. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  5389. ('dummy', Dummify(target='label')),
  5390. ('fix_perfect', Remove_100(target='label')),
  5391. ('clean_names', Clean_Colum_Names()),
  5392. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  5393. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  5394. verbose=False)
  5395. 2022-01-17 16:18:07,079:INFO:get_config() succesfully completed......................................
  5396. 2022-01-17 16:18:07,080:INFO:Fitting Model
  5397. 2022-01-17 16:18:07,081:INFO:Scoring test/hold-out set
  5398. 2022-01-17 16:18:07,197:INFO:Visual Rendered Successfully
  5399. 2022-01-17 16:18:07,277:INFO:plot_model() succesfully completed......................................
  5400. 2022-01-17 16:18:12,516:INFO:Initializing plot_model()
  5401. 2022-01-17 16:18:12,516:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5402. max_depth=None, max_features=None, max_leaf_nodes=None,
  5403. min_impurity_decrease=0.0, min_impurity_split=None,
  5404. min_samples_leaf=1, min_samples_split=2,
  5405. min_weight_fraction_leaf=0.0, presort='deprecated',
  5406. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  5407. 2022-01-17 16:18:12,517:INFO:Checking exceptions
  5408. 2022-01-17 16:18:12,517:INFO:Preparing display monitor
  5409. 2022-01-17 16:18:12,521:INFO:Preloading libraries
  5410. 2022-01-17 16:18:12,522:INFO:Copying training dataset
  5411. 2022-01-17 16:18:12,523:INFO:Copying test dataset
  5412. 2022-01-17 16:18:12,523:INFO:Plot type: feature
  5413. 2022-01-17 16:18:12,524:WARNING:No coef_ found. Trying feature_importances_
  5414. 2022-01-17 16:18:12,600:INFO:Visual Rendered Successfully
  5415. 2022-01-17 16:18:12,672:INFO:plot_model() succesfully completed......................................
  5416. 2022-01-17 16:18:16,408:INFO:Initializing plot_model()
  5417. 2022-01-17 16:18:16,408:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5418. max_depth=None, max_features=None, max_leaf_nodes=None,
  5419. min_impurity_decrease=0.0, min_impurity_split=None,
  5420. min_samples_leaf=1, min_samples_split=2,
  5421. min_weight_fraction_leaf=0.0, presort='deprecated',
  5422. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  5423. 2022-01-17 16:18:16,408:INFO:Checking exceptions
  5424. 2022-01-17 16:18:16,409:INFO:Preparing display monitor
  5425. 2022-01-17 16:18:16,413:INFO:Preloading libraries
  5426. 2022-01-17 16:18:16,414:INFO:Copying training dataset
  5427. 2022-01-17 16:18:16,415:INFO:Copying test dataset
  5428. 2022-01-17 16:18:16,416:INFO:Plot type: feature_all
  5429. 2022-01-17 16:18:16,417:WARNING:No coef_ found. Trying feature_importances_
  5430. 2022-01-17 16:18:16,649:INFO:Visual Rendered Successfully
  5431. 2022-01-17 16:18:16,725:INFO:plot_model() succesfully completed......................................
  5432. 2022-01-17 16:18:54,542:INFO:PyCaret Supervised Module
  5433. 2022-01-17 16:18:54,543:INFO:ML Usecase: classification
  5434. 2022-01-17 16:18:54,543:INFO:version 2.3.6
  5435. 2022-01-17 16:18:54,543:INFO:Initializing setup()
  5436. 2022-01-17 16:18:54,543:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  5437. 2022-01-17 16:18:54,543:INFO:Checking environment
  5438. 2022-01-17 16:18:54,543:INFO:python_version: 3.8.8
  5439. 2022-01-17 16:18:54,543:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  5440. 2022-01-17 16:18:54,544:INFO:machine: x86_64
  5441. 2022-01-17 16:18:54,544:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  5442. 2022-01-17 16:18:54,544:INFO:Memory: svmem(total=33619935232, available=27131334656, percent=19.3, used=5641605120, free=24539742208, active=1218359296, inactive=7216082944, buffers=606724096, cached=2831863808, shared=383741952, slab=313683968)
  5443. 2022-01-17 16:18:54,545:INFO:Physical Core: 16
  5444. 2022-01-17 16:18:54,545:INFO:Logical Core: 32
  5445. 2022-01-17 16:18:54,545:INFO:Checking libraries
  5446. 2022-01-17 16:18:54,545:INFO:pd==1.2.4
  5447. 2022-01-17 16:18:54,545:INFO:numpy==1.19.5
  5448. 2022-01-17 16:18:54,545:INFO:sklearn==0.23.2
  5449. 2022-01-17 16:18:54,546:INFO:lightgbm==3.3.2
  5450. 2022-01-17 16:18:54,546:WARNING:catboost not found
  5451. 2022-01-17 16:18:54,546:WARNING:xgboost not found
  5452. 2022-01-17 16:18:54,547:INFO:mlflow==1.22.0
  5453. 2022-01-17 16:18:54,547:INFO:Checking Exceptions
  5454. 2022-01-17 16:18:54,547:INFO:Declaring global variables
  5455. 2022-01-17 16:18:54,547:INFO:USI: 2819
  5456. 2022-01-17 16:18:54,547:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  5457. 2022-01-17 16:18:54,547:INFO:Preparing display monitor
  5458. 2022-01-17 16:18:54,548:INFO:Preparing display monitor
  5459. 2022-01-17 16:18:54,555:INFO:Importing libraries
  5460. 2022-01-17 16:18:54,555:INFO:Copying data for preprocessing
  5461. 2022-01-17 16:18:54,561:INFO:Declaring preprocessing parameters
  5462. 2022-01-17 16:18:54,562:WARNING:cuML not found
  5463. 2022-01-17 16:18:54,562:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  5464. 2022-01-17 16:18:54,564:INFO:Creating preprocessing pipeline
  5465. 2022-01-17 16:18:54,594:INFO:Preprocessing pipeline created successfully
  5466. 2022-01-17 16:18:54,595:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  5467. 2022-01-17 16:18:54,595:INFO:Creating global containers
  5468. 2022-01-17 16:18:54,595:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  5469. 2022-01-17 16:19:11,428:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  5470. 2022-01-17 16:19:11,455:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  5471. 2022-01-17 16:19:11,456:WARNING:Couldn't import cuml.MBSGDClassifier
  5472. 2022-01-17 16:19:11,457:WARNING:Couldn't import cuml.svm.SVC
  5473. 2022-01-17 16:19:11,470:WARNING:Couldn't import cuml.linear_model
  5474. 2022-01-17 16:19:11,474:WARNING:Couldn't import cuml.ensemble
  5475. 2022-01-17 16:19:11,475:WARNING:Couldn't import xgboost.XGBClassifier
  5476. 2022-01-17 16:19:11,480:WARNING:Couldn't import catboost.CatBoostClassifier
  5477. 2022-01-17 16:19:11,481:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  5478. 2022-01-17 16:19:11,512:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  5479. 2022-01-17 16:19:11,512:WARNING:Couldn't import cuml.MBSGDClassifier
  5480. 2022-01-17 16:19:11,513:WARNING:Couldn't import cuml.svm.SVC
  5481. 2022-01-17 16:19:11,527:WARNING:Couldn't import cuml.linear_model
  5482. 2022-01-17 16:19:11,530:WARNING:Couldn't import cuml.ensemble
  5483. 2022-01-17 16:19:11,531:WARNING:Couldn't import xgboost.XGBClassifier
  5484. 2022-01-17 16:19:11,534:WARNING:Couldn't import catboost.CatBoostClassifier
  5485. 2022-01-17 16:19:11,535:INFO:Creating grid variables
  5486. 2022-01-17 16:19:11,548:INFO:create_model_container: 0
  5487. 2022-01-17 16:19:11,548:INFO:master_model_container: 0
  5488. 2022-01-17 16:19:11,548:INFO:display_container: 1
  5489. 2022-01-17 16:19:11,551:INFO:Pipeline(memory=None,
  5490. steps=[('dtypes',
  5491. DataTypes_Auto_infer(categorical_features=[],
  5492. display_types=True, features_todrop=[],
  5493. id_columns=[],
  5494. ml_usecase='classification',
  5495. numerical_features=[], target='label',
  5496. time_features=[])),
  5497. ('imputer',
  5498. Simple_Imputer(categorical_strategy='not_available',
  5499. fill_value_categorical=None,
  5500. fill_value_numerical=None,
  5501. numeric_strate...
  5502. target='label')),
  5503. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  5504. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  5505. ('dummy', Dummify(target='label')),
  5506. ('fix_perfect', Remove_100(target='label')),
  5507. ('clean_names', Clean_Colum_Names()),
  5508. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  5509. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  5510. verbose=False)
  5511. 2022-01-17 16:19:11,551:INFO:setup() succesfully completed......................................
  5512. 2022-01-17 16:19:50,281:INFO:Initializing compare_models()
  5513. 2022-01-17 16:19:50,281:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  5514. 2022-01-17 16:19:50,282:INFO:Checking exceptions
  5515. 2022-01-17 16:19:50,282:INFO:Preparing display monitor
  5516. 2022-01-17 16:19:50,283:INFO:Preparing display monitor
  5517. 2022-01-17 16:19:50,298:INFO:Initializing Logistic Regression
  5518. 2022-01-17 16:19:50,299:INFO:Total runtime is 4.923343658447265e-06 minutes
  5519. 2022-01-17 16:19:50,304:INFO:SubProcess create_model() called ==================================
  5520. 2022-01-17 16:19:50,304:INFO:Initializing create_model()
  5521. 2022-01-17 16:19:50,304:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5522. 2022-01-17 16:19:50,305:INFO:Checking exceptions
  5523. 2022-01-17 16:19:50,305:INFO:Importing libraries
  5524. 2022-01-17 16:19:50,305:INFO:Copying training dataset
  5525. 2022-01-17 16:19:50,306:INFO:Defining folds
  5526. 2022-01-17 16:19:50,306:INFO:Declaring metric variables
  5527. 2022-01-17 16:19:50,311:INFO:Importing untrained model
  5528. 2022-01-17 16:19:50,316:INFO:Logistic Regression Imported succesfully
  5529. 2022-01-17 16:19:50,327:INFO:Starting cross validation
  5530. 2022-01-17 16:19:50,327:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5531. 2022-01-17 16:19:56,519:INFO:Calculating mean and std
  5532. 2022-01-17 16:19:56,520:INFO:Creating metrics dataframe
  5533. 2022-01-17 16:19:56,526:INFO:Uploading results into container
  5534. 2022-01-17 16:19:56,528:INFO:Uploading model into container now
  5535. 2022-01-17 16:19:56,528:INFO:create_model_container: 1
  5536. 2022-01-17 16:19:56,528:INFO:master_model_container: 1
  5537. 2022-01-17 16:19:56,528:INFO:display_container: 2
  5538. 2022-01-17 16:19:56,529:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  5539. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  5540. multi_class='auto', n_jobs=None, penalty='l2',
  5541. random_state=424, solver='lbfgs', tol=0.0001, verbose=0,
  5542. warm_start=False)
  5543. 2022-01-17 16:19:56,529:INFO:create_model() succesfully completed......................................
  5544. 2022-01-17 16:19:56,615:INFO:SubProcess create_model() end ==================================
  5545. 2022-01-17 16:19:56,616:INFO:Creating metrics dataframe
  5546. 2022-01-17 16:19:56,625:INFO:Initializing K Neighbors Classifier
  5547. 2022-01-17 16:19:56,625:INFO:Total runtime is 0.10544798374176026 minutes
  5548. 2022-01-17 16:19:56,631:INFO:SubProcess create_model() called ==================================
  5549. 2022-01-17 16:19:56,631:INFO:Initializing create_model()
  5550. 2022-01-17 16:19:56,631:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5551. 2022-01-17 16:19:56,632:INFO:Checking exceptions
  5552. 2022-01-17 16:19:56,632:INFO:Importing libraries
  5553. 2022-01-17 16:19:56,632:INFO:Copying training dataset
  5554. 2022-01-17 16:19:56,633:INFO:Defining folds
  5555. 2022-01-17 16:19:56,633:INFO:Declaring metric variables
  5556. 2022-01-17 16:19:56,638:INFO:Importing untrained model
  5557. 2022-01-17 16:19:56,643:INFO:K Neighbors Classifier Imported succesfully
  5558. 2022-01-17 16:19:56,654:INFO:Starting cross validation
  5559. 2022-01-17 16:19:56,654:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5560. 2022-01-17 16:20:13,378:INFO:Calculating mean and std
  5561. 2022-01-17 16:20:13,379:INFO:Creating metrics dataframe
  5562. 2022-01-17 16:20:13,382:INFO:Uploading results into container
  5563. 2022-01-17 16:20:13,382:INFO:Uploading model into container now
  5564. 2022-01-17 16:20:13,382:INFO:create_model_container: 2
  5565. 2022-01-17 16:20:13,382:INFO:master_model_container: 2
  5566. 2022-01-17 16:20:13,382:INFO:display_container: 2
  5567. 2022-01-17 16:20:13,383:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  5568. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  5569. weights='uniform')
  5570. 2022-01-17 16:20:13,383:INFO:create_model() succesfully completed......................................
  5571. 2022-01-17 16:20:13,454:INFO:SubProcess create_model() end ==================================
  5572. 2022-01-17 16:20:13,455:INFO:Creating metrics dataframe
  5573. 2022-01-17 16:20:13,465:INFO:Initializing Naive Bayes
  5574. 2022-01-17 16:20:13,466:INFO:Total runtime is 0.38611943721771236 minutes
  5575. 2022-01-17 16:20:13,471:INFO:SubProcess create_model() called ==================================
  5576. 2022-01-17 16:20:13,471:INFO:Initializing create_model()
  5577. 2022-01-17 16:20:13,471:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5578. 2022-01-17 16:20:13,471:INFO:Checking exceptions
  5579. 2022-01-17 16:20:13,471:INFO:Importing libraries
  5580. 2022-01-17 16:20:13,472:INFO:Copying training dataset
  5581. 2022-01-17 16:20:13,473:INFO:Defining folds
  5582. 2022-01-17 16:20:13,473:INFO:Declaring metric variables
  5583. 2022-01-17 16:20:13,478:INFO:Importing untrained model
  5584. 2022-01-17 16:20:13,483:INFO:Naive Bayes Imported succesfully
  5585. 2022-01-17 16:20:13,492:INFO:Starting cross validation
  5586. 2022-01-17 16:20:13,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5587. 2022-01-17 16:20:13,717:INFO:Calculating mean and std
  5588. 2022-01-17 16:20:13,718:INFO:Creating metrics dataframe
  5589. 2022-01-17 16:20:13,721:INFO:Uploading results into container
  5590. 2022-01-17 16:20:13,721:INFO:Uploading model into container now
  5591. 2022-01-17 16:20:13,721:INFO:create_model_container: 3
  5592. 2022-01-17 16:20:13,721:INFO:master_model_container: 3
  5593. 2022-01-17 16:20:13,721:INFO:display_container: 2
  5594. 2022-01-17 16:20:13,722:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  5595. 2022-01-17 16:20:13,722:INFO:create_model() succesfully completed......................................
  5596. 2022-01-17 16:20:13,792:INFO:SubProcess create_model() end ==================================
  5597. 2022-01-17 16:20:13,793:INFO:Creating metrics dataframe
  5598. 2022-01-17 16:20:13,803:INFO:Initializing Decision Tree Classifier
  5599. 2022-01-17 16:20:13,804:INFO:Total runtime is 0.39175337553024286 minutes
  5600. 2022-01-17 16:20:13,809:INFO:SubProcess create_model() called ==================================
  5601. 2022-01-17 16:20:13,809:INFO:Initializing create_model()
  5602. 2022-01-17 16:20:13,809:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5603. 2022-01-17 16:20:13,809:INFO:Checking exceptions
  5604. 2022-01-17 16:20:13,809:INFO:Importing libraries
  5605. 2022-01-17 16:20:13,810:INFO:Copying training dataset
  5606. 2022-01-17 16:20:13,811:INFO:Defining folds
  5607. 2022-01-17 16:20:13,811:INFO:Declaring metric variables
  5608. 2022-01-17 16:20:13,816:INFO:Importing untrained model
  5609. 2022-01-17 16:20:13,820:INFO:Decision Tree Classifier Imported succesfully
  5610. 2022-01-17 16:20:13,831:INFO:Starting cross validation
  5611. 2022-01-17 16:20:13,831:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5612. 2022-01-17 16:20:14,772:INFO:Calculating mean and std
  5613. 2022-01-17 16:20:14,773:INFO:Creating metrics dataframe
  5614. 2022-01-17 16:20:14,775:INFO:Uploading results into container
  5615. 2022-01-17 16:20:14,776:INFO:Uploading model into container now
  5616. 2022-01-17 16:20:14,776:INFO:create_model_container: 4
  5617. 2022-01-17 16:20:14,776:INFO:master_model_container: 4
  5618. 2022-01-17 16:20:14,776:INFO:display_container: 2
  5619. 2022-01-17 16:20:14,776:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5620. max_depth=None, max_features=None, max_leaf_nodes=None,
  5621. min_impurity_decrease=0.0, min_impurity_split=None,
  5622. min_samples_leaf=1, min_samples_split=2,
  5623. min_weight_fraction_leaf=0.0, presort='deprecated',
  5624. random_state=424, splitter='best')
  5625. 2022-01-17 16:20:14,777:INFO:create_model() succesfully completed......................................
  5626. 2022-01-17 16:20:14,845:INFO:SubProcess create_model() end ==================================
  5627. 2022-01-17 16:20:14,846:INFO:Creating metrics dataframe
  5628. 2022-01-17 16:20:14,856:INFO:Initializing SVM - Linear Kernel
  5629. 2022-01-17 16:20:14,856:INFO:Total runtime is 0.4093016187349955 minutes
  5630. 2022-01-17 16:20:14,862:INFO:SubProcess create_model() called ==================================
  5631. 2022-01-17 16:20:14,862:INFO:Initializing create_model()
  5632. 2022-01-17 16:20:14,862:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5633. 2022-01-17 16:20:14,862:INFO:Checking exceptions
  5634. 2022-01-17 16:20:14,863:INFO:Importing libraries
  5635. 2022-01-17 16:20:14,863:INFO:Copying training dataset
  5636. 2022-01-17 16:20:14,864:INFO:Defining folds
  5637. 2022-01-17 16:20:14,864:INFO:Declaring metric variables
  5638. 2022-01-17 16:20:14,869:INFO:Importing untrained model
  5639. 2022-01-17 16:20:14,874:INFO:SVM - Linear Kernel Imported succesfully
  5640. 2022-01-17 16:20:14,885:INFO:Starting cross validation
  5641. 2022-01-17 16:20:14,886:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5642. 2022-01-17 16:20:16,016:INFO:Calculating mean and std
  5643. 2022-01-17 16:20:16,017:INFO:Creating metrics dataframe
  5644. 2022-01-17 16:20:16,022:INFO:Uploading results into container
  5645. 2022-01-17 16:20:16,022:INFO:Uploading model into container now
  5646. 2022-01-17 16:20:16,022:INFO:create_model_container: 5
  5647. 2022-01-17 16:20:16,024:INFO:master_model_container: 5
  5648. 2022-01-17 16:20:16,025:INFO:display_container: 2
  5649. 2022-01-17 16:20:16,028:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  5650. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  5651. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  5652. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  5653. power_t=0.5, random_state=424, shuffle=True, tol=0.001,
  5654. validation_fraction=0.1, verbose=0, warm_start=False)
  5655. 2022-01-17 16:20:16,028:INFO:create_model() succesfully completed......................................
  5656. 2022-01-17 16:20:16,122:INFO:SubProcess create_model() end ==================================
  5657. 2022-01-17 16:20:16,122:INFO:Creating metrics dataframe
  5658. 2022-01-17 16:20:16,133:INFO:Initializing Ridge Classifier
  5659. 2022-01-17 16:20:16,134:INFO:Total runtime is 0.43058832089106236 minutes
  5660. 2022-01-17 16:20:16,141:INFO:SubProcess create_model() called ==================================
  5661. 2022-01-17 16:20:16,142:INFO:Initializing create_model()
  5662. 2022-01-17 16:20:16,142:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5663. 2022-01-17 16:20:16,142:INFO:Checking exceptions
  5664. 2022-01-17 16:20:16,142:INFO:Importing libraries
  5665. 2022-01-17 16:20:16,142:INFO:Copying training dataset
  5666. 2022-01-17 16:20:16,144:INFO:Defining folds
  5667. 2022-01-17 16:20:16,144:INFO:Declaring metric variables
  5668. 2022-01-17 16:20:16,153:INFO:Importing untrained model
  5669. 2022-01-17 16:20:16,159:INFO:Ridge Classifier Imported succesfully
  5670. 2022-01-17 16:20:16,173:INFO:Starting cross validation
  5671. 2022-01-17 16:20:16,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5672. 2022-01-17 16:20:16,879:INFO:Calculating mean and std
  5673. 2022-01-17 16:20:16,892:INFO:Creating metrics dataframe
  5674. 2022-01-17 16:20:16,897:INFO:Uploading results into container
  5675. 2022-01-17 16:20:16,900:INFO:Uploading model into container now
  5676. 2022-01-17 16:20:16,900:INFO:create_model_container: 6
  5677. 2022-01-17 16:20:16,900:INFO:master_model_container: 6
  5678. 2022-01-17 16:20:16,901:INFO:display_container: 2
  5679. 2022-01-17 16:20:16,901:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  5680. max_iter=None, normalize=False, random_state=424, solver='auto',
  5681. tol=0.001)
  5682. 2022-01-17 16:20:16,901:INFO:create_model() succesfully completed......................................
  5683. 2022-01-17 16:20:16,994:INFO:SubProcess create_model() end ==================================
  5684. 2022-01-17 16:20:16,994:INFO:Creating metrics dataframe
  5685. 2022-01-17 16:20:17,005:INFO:Initializing Random Forest Classifier
  5686. 2022-01-17 16:20:17,005:INFO:Total runtime is 0.44511662721633904 minutes
  5687. 2022-01-17 16:20:17,011:INFO:SubProcess create_model() called ==================================
  5688. 2022-01-17 16:20:17,011:INFO:Initializing create_model()
  5689. 2022-01-17 16:20:17,011:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5690. 2022-01-17 16:20:17,011:INFO:Checking exceptions
  5691. 2022-01-17 16:20:17,011:INFO:Importing libraries
  5692. 2022-01-17 16:20:17,012:INFO:Copying training dataset
  5693. 2022-01-17 16:20:17,013:INFO:Defining folds
  5694. 2022-01-17 16:20:17,013:INFO:Declaring metric variables
  5695. 2022-01-17 16:20:17,018:INFO:Importing untrained model
  5696. 2022-01-17 16:20:17,022:INFO:Random Forest Classifier Imported succesfully
  5697. 2022-01-17 16:20:17,033:INFO:Starting cross validation
  5698. 2022-01-17 16:20:17,033:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5699. 2022-01-17 16:20:23,517:INFO:Calculating mean and std
  5700. 2022-01-17 16:20:23,518:INFO:Creating metrics dataframe
  5701. 2022-01-17 16:20:23,520:INFO:Uploading results into container
  5702. 2022-01-17 16:20:23,520:INFO:Uploading model into container now
  5703. 2022-01-17 16:20:23,521:INFO:create_model_container: 7
  5704. 2022-01-17 16:20:23,521:INFO:master_model_container: 7
  5705. 2022-01-17 16:20:23,521:INFO:display_container: 2
  5706. 2022-01-17 16:20:23,521:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5707. criterion='gini', max_depth=None, max_features='auto',
  5708. max_leaf_nodes=None, max_samples=None,
  5709. min_impurity_decrease=0.0, min_impurity_split=None,
  5710. min_samples_leaf=1, min_samples_split=2,
  5711. min_weight_fraction_leaf=0.0, n_estimators=100,
  5712. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  5713. warm_start=False)
  5714. 2022-01-17 16:20:23,521:INFO:create_model() succesfully completed......................................
  5715. 2022-01-17 16:20:23,600:INFO:SubProcess create_model() end ==================================
  5716. 2022-01-17 16:20:23,600:INFO:Creating metrics dataframe
  5717. 2022-01-17 16:20:23,612:INFO:Initializing Quadratic Discriminant Analysis
  5718. 2022-01-17 16:20:23,612:INFO:Total runtime is 0.555225106080373 minutes
  5719. 2022-01-17 16:20:23,617:INFO:SubProcess create_model() called ==================================
  5720. 2022-01-17 16:20:23,617:INFO:Initializing create_model()
  5721. 2022-01-17 16:20:23,617:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5722. 2022-01-17 16:20:23,618:INFO:Checking exceptions
  5723. 2022-01-17 16:20:23,618:INFO:Importing libraries
  5724. 2022-01-17 16:20:23,618:INFO:Copying training dataset
  5725. 2022-01-17 16:20:23,619:INFO:Defining folds
  5726. 2022-01-17 16:20:23,619:INFO:Declaring metric variables
  5727. 2022-01-17 16:20:23,624:INFO:Importing untrained model
  5728. 2022-01-17 16:20:23,630:INFO:Quadratic Discriminant Analysis Imported succesfully
  5729. 2022-01-17 16:20:23,640:INFO:Starting cross validation
  5730. 2022-01-17 16:20:23,641:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5731. 2022-01-17 16:20:24,483:INFO:Calculating mean and std
  5732. 2022-01-17 16:20:24,484:INFO:Creating metrics dataframe
  5733. 2022-01-17 16:20:24,489:INFO:Uploading results into container
  5734. 2022-01-17 16:20:24,492:INFO:Uploading model into container now
  5735. 2022-01-17 16:20:24,493:INFO:create_model_container: 8
  5736. 2022-01-17 16:20:24,494:INFO:master_model_container: 8
  5737. 2022-01-17 16:20:24,494:INFO:display_container: 2
  5738. 2022-01-17 16:20:24,495:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  5739. store_covariance=False, tol=0.0001)
  5740. 2022-01-17 16:20:24,495:INFO:create_model() succesfully completed......................................
  5741. 2022-01-17 16:20:24,582:INFO:SubProcess create_model() end ==================================
  5742. 2022-01-17 16:20:24,583:INFO:Creating metrics dataframe
  5743. 2022-01-17 16:20:24,594:INFO:Initializing Ada Boost Classifier
  5744. 2022-01-17 16:20:24,594:INFO:Total runtime is 0.5716010252634683 minutes
  5745. 2022-01-17 16:20:24,600:INFO:SubProcess create_model() called ==================================
  5746. 2022-01-17 16:20:24,600:INFO:Initializing create_model()
  5747. 2022-01-17 16:20:24,600:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5748. 2022-01-17 16:20:24,600:INFO:Checking exceptions
  5749. 2022-01-17 16:20:24,600:INFO:Importing libraries
  5750. 2022-01-17 16:20:24,601:INFO:Copying training dataset
  5751. 2022-01-17 16:20:24,602:INFO:Defining folds
  5752. 2022-01-17 16:20:24,602:INFO:Declaring metric variables
  5753. 2022-01-17 16:20:24,607:INFO:Importing untrained model
  5754. 2022-01-17 16:20:24,612:INFO:Ada Boost Classifier Imported succesfully
  5755. 2022-01-17 16:20:24,622:INFO:Starting cross validation
  5756. 2022-01-17 16:20:24,623:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5757. 2022-01-17 16:20:31,369:INFO:Calculating mean and std
  5758. 2022-01-17 16:20:31,370:INFO:Creating metrics dataframe
  5759. 2022-01-17 16:20:31,373:INFO:Uploading results into container
  5760. 2022-01-17 16:20:31,373:INFO:Uploading model into container now
  5761. 2022-01-17 16:20:31,373:INFO:create_model_container: 9
  5762. 2022-01-17 16:20:31,373:INFO:master_model_container: 9
  5763. 2022-01-17 16:20:31,373:INFO:display_container: 2
  5764. 2022-01-17 16:20:31,374:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  5765. n_estimators=50, random_state=424)
  5766. 2022-01-17 16:20:31,374:INFO:create_model() succesfully completed......................................
  5767. 2022-01-17 16:20:31,444:INFO:SubProcess create_model() end ==================================
  5768. 2022-01-17 16:20:31,445:INFO:Creating metrics dataframe
  5769. 2022-01-17 16:20:31,457:INFO:Initializing Gradient Boosting Classifier
  5770. 2022-01-17 16:20:31,457:INFO:Total runtime is 0.6859723726908366 minutes
  5771. 2022-01-17 16:20:31,462:INFO:SubProcess create_model() called ==================================
  5772. 2022-01-17 16:20:31,462:INFO:Initializing create_model()
  5773. 2022-01-17 16:20:31,462:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5774. 2022-01-17 16:20:31,463:INFO:Checking exceptions
  5775. 2022-01-17 16:20:31,463:INFO:Importing libraries
  5776. 2022-01-17 16:20:31,463:INFO:Copying training dataset
  5777. 2022-01-17 16:20:31,464:INFO:Defining folds
  5778. 2022-01-17 16:20:31,464:INFO:Declaring metric variables
  5779. 2022-01-17 16:20:31,469:INFO:Importing untrained model
  5780. 2022-01-17 16:20:31,473:INFO:Gradient Boosting Classifier Imported succesfully
  5781. 2022-01-17 16:20:31,484:INFO:Starting cross validation
  5782. 2022-01-17 16:20:31,484:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5783. 2022-01-17 16:20:53,555:INFO:Calculating mean and std
  5784. 2022-01-17 16:20:53,555:INFO:Creating metrics dataframe
  5785. 2022-01-17 16:20:53,558:INFO:Uploading results into container
  5786. 2022-01-17 16:20:53,558:INFO:Uploading model into container now
  5787. 2022-01-17 16:20:53,558:INFO:create_model_container: 10
  5788. 2022-01-17 16:20:53,559:INFO:master_model_container: 10
  5789. 2022-01-17 16:20:53,559:INFO:display_container: 2
  5790. 2022-01-17 16:20:53,559:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  5791. learning_rate=0.1, loss='deviance', max_depth=3,
  5792. max_features=None, max_leaf_nodes=None,
  5793. min_impurity_decrease=0.0, min_impurity_split=None,
  5794. min_samples_leaf=1, min_samples_split=2,
  5795. min_weight_fraction_leaf=0.0, n_estimators=100,
  5796. n_iter_no_change=None, presort='deprecated',
  5797. random_state=424, subsample=1.0, tol=0.0001,
  5798. validation_fraction=0.1, verbose=0,
  5799. warm_start=False)
  5800. 2022-01-17 16:20:53,560:INFO:create_model() succesfully completed......................................
  5801. 2022-01-17 16:20:53,627:INFO:SubProcess create_model() end ==================================
  5802. 2022-01-17 16:20:53,627:INFO:Creating metrics dataframe
  5803. 2022-01-17 16:20:53,640:INFO:Initializing Linear Discriminant Analysis
  5804. 2022-01-17 16:20:53,640:INFO:Total runtime is 1.0557005564371744 minutes
  5805. 2022-01-17 16:20:53,646:INFO:SubProcess create_model() called ==================================
  5806. 2022-01-17 16:20:53,646:INFO:Initializing create_model()
  5807. 2022-01-17 16:20:53,646:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5808. 2022-01-17 16:20:53,646:INFO:Checking exceptions
  5809. 2022-01-17 16:20:53,647:INFO:Importing libraries
  5810. 2022-01-17 16:20:53,647:INFO:Copying training dataset
  5811. 2022-01-17 16:20:53,648:INFO:Defining folds
  5812. 2022-01-17 16:20:53,648:INFO:Declaring metric variables
  5813. 2022-01-17 16:20:53,653:INFO:Importing untrained model
  5814. 2022-01-17 16:20:53,657:INFO:Linear Discriminant Analysis Imported succesfully
  5815. 2022-01-17 16:20:53,668:INFO:Starting cross validation
  5816. 2022-01-17 16:20:53,668:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5817. 2022-01-17 16:20:55,366:INFO:Calculating mean and std
  5818. 2022-01-17 16:20:55,367:INFO:Creating metrics dataframe
  5819. 2022-01-17 16:20:55,371:INFO:Uploading results into container
  5820. 2022-01-17 16:20:55,371:INFO:Uploading model into container now
  5821. 2022-01-17 16:20:55,371:INFO:create_model_container: 11
  5822. 2022-01-17 16:20:55,371:INFO:master_model_container: 11
  5823. 2022-01-17 16:20:55,371:INFO:display_container: 2
  5824. 2022-01-17 16:20:55,372:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  5825. solver='svd', store_covariance=False, tol=0.0001)
  5826. 2022-01-17 16:20:55,372:INFO:create_model() succesfully completed......................................
  5827. 2022-01-17 16:20:55,470:INFO:SubProcess create_model() end ==================================
  5828. 2022-01-17 16:20:55,470:INFO:Creating metrics dataframe
  5829. 2022-01-17 16:20:55,483:INFO:Initializing Extra Trees Classifier
  5830. 2022-01-17 16:20:55,483:INFO:Total runtime is 1.0864083329836527 minutes
  5831. 2022-01-17 16:20:55,488:INFO:SubProcess create_model() called ==================================
  5832. 2022-01-17 16:20:55,488:INFO:Initializing create_model()
  5833. 2022-01-17 16:20:55,489:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5834. 2022-01-17 16:20:55,489:INFO:Checking exceptions
  5835. 2022-01-17 16:20:55,489:INFO:Importing libraries
  5836. 2022-01-17 16:20:55,489:INFO:Copying training dataset
  5837. 2022-01-17 16:20:55,490:INFO:Defining folds
  5838. 2022-01-17 16:20:55,490:INFO:Declaring metric variables
  5839. 2022-01-17 16:20:55,495:INFO:Importing untrained model
  5840. 2022-01-17 16:20:55,500:INFO:Extra Trees Classifier Imported succesfully
  5841. 2022-01-17 16:20:55,509:INFO:Starting cross validation
  5842. 2022-01-17 16:20:55,510:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5843. 2022-01-17 16:21:02,191:INFO:Calculating mean and std
  5844. 2022-01-17 16:21:02,191:INFO:Creating metrics dataframe
  5845. 2022-01-17 16:21:02,194:INFO:Uploading results into container
  5846. 2022-01-17 16:21:02,194:INFO:Uploading model into container now
  5847. 2022-01-17 16:21:02,195:INFO:create_model_container: 12
  5848. 2022-01-17 16:21:02,195:INFO:master_model_container: 12
  5849. 2022-01-17 16:21:02,195:INFO:display_container: 2
  5850. 2022-01-17 16:21:02,195:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  5851. criterion='gini', max_depth=None, max_features='auto',
  5852. max_leaf_nodes=None, max_samples=None,
  5853. min_impurity_decrease=0.0, min_impurity_split=None,
  5854. min_samples_leaf=1, min_samples_split=2,
  5855. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  5856. oob_score=False, random_state=424, verbose=0,
  5857. warm_start=False)
  5858. 2022-01-17 16:21:02,195:INFO:create_model() succesfully completed......................................
  5859. 2022-01-17 16:21:02,273:INFO:SubProcess create_model() end ==================================
  5860. 2022-01-17 16:21:02,274:INFO:Creating metrics dataframe
  5861. 2022-01-17 16:21:02,287:INFO:Initializing Light Gradient Boosting Machine
  5862. 2022-01-17 16:21:02,287:INFO:Total runtime is 1.199817915757497 minutes
  5863. 2022-01-17 16:21:02,293:INFO:SubProcess create_model() called ==================================
  5864. 2022-01-17 16:21:02,293:INFO:Initializing create_model()
  5865. 2022-01-17 16:21:02,294:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5866. 2022-01-17 16:21:02,294:INFO:Checking exceptions
  5867. 2022-01-17 16:21:02,294:INFO:Importing libraries
  5868. 2022-01-17 16:21:02,294:INFO:Copying training dataset
  5869. 2022-01-17 16:21:02,295:INFO:Defining folds
  5870. 2022-01-17 16:21:02,295:INFO:Declaring metric variables
  5871. 2022-01-17 16:21:02,300:INFO:Importing untrained model
  5872. 2022-01-17 16:21:02,305:INFO:Light Gradient Boosting Machine Imported succesfully
  5873. 2022-01-17 16:21:02,315:INFO:Starting cross validation
  5874. 2022-01-17 16:21:02,316:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5875. 2022-01-17 16:21:05,313:INFO:Calculating mean and std
  5876. 2022-01-17 16:21:05,313:INFO:Creating metrics dataframe
  5877. 2022-01-17 16:21:05,316:INFO:Uploading results into container
  5878. 2022-01-17 16:21:05,316:INFO:Uploading model into container now
  5879. 2022-01-17 16:21:05,316:INFO:create_model_container: 13
  5880. 2022-01-17 16:21:05,316:INFO:master_model_container: 13
  5881. 2022-01-17 16:21:05,317:INFO:display_container: 2
  5882. 2022-01-17 16:21:05,317:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  5883. importance_type='split', learning_rate=0.1, max_depth=-1,
  5884. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  5885. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  5886. random_state=424, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  5887. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  5888. 2022-01-17 16:21:05,317:INFO:create_model() succesfully completed......................................
  5889. 2022-01-17 16:21:05,387:INFO:SubProcess create_model() end ==================================
  5890. 2022-01-17 16:21:05,387:INFO:Creating metrics dataframe
  5891. 2022-01-17 16:21:05,401:INFO:Initializing Dummy Classifier
  5892. 2022-01-17 16:21:05,401:INFO:Total runtime is 1.2517123500506082 minutes
  5893. 2022-01-17 16:21:05,406:INFO:SubProcess create_model() called ==================================
  5894. 2022-01-17 16:21:05,407:INFO:Initializing create_model()
  5895. 2022-01-17 16:21:05,407:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5896. 2022-01-17 16:21:05,407:INFO:Checking exceptions
  5897. 2022-01-17 16:21:05,407:INFO:Importing libraries
  5898. 2022-01-17 16:21:05,407:INFO:Copying training dataset
  5899. 2022-01-17 16:21:05,409:INFO:Defining folds
  5900. 2022-01-17 16:21:05,409:INFO:Declaring metric variables
  5901. 2022-01-17 16:21:05,414:INFO:Importing untrained model
  5902. 2022-01-17 16:21:05,418:INFO:Dummy Classifier Imported succesfully
  5903. 2022-01-17 16:21:05,428:INFO:Starting cross validation
  5904. 2022-01-17 16:21:05,429:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5905. 2022-01-17 16:21:05,540:INFO:Calculating mean and std
  5906. 2022-01-17 16:21:05,540:INFO:Creating metrics dataframe
  5907. 2022-01-17 16:21:05,543:INFO:Uploading results into container
  5908. 2022-01-17 16:21:05,543:INFO:Uploading model into container now
  5909. 2022-01-17 16:21:05,543:INFO:create_model_container: 14
  5910. 2022-01-17 16:21:05,544:INFO:master_model_container: 14
  5911. 2022-01-17 16:21:05,544:INFO:display_container: 2
  5912. 2022-01-17 16:21:05,544:INFO:DummyClassifier(constant=None, random_state=424, strategy='prior')
  5913. 2022-01-17 16:21:05,544:INFO:create_model() succesfully completed......................................
  5914. 2022-01-17 16:21:05,616:INFO:SubProcess create_model() end ==================================
  5915. 2022-01-17 16:21:05,616:INFO:Creating metrics dataframe
  5916. 2022-01-17 16:21:05,641:INFO:Initializing create_model()
  5917. 2022-01-17 16:21:05,641:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5918. criterion='gini', max_depth=None, max_features='auto',
  5919. max_leaf_nodes=None, max_samples=None,
  5920. min_impurity_decrease=0.0, min_impurity_split=None,
  5921. min_samples_leaf=1, min_samples_split=2,
  5922. min_weight_fraction_leaf=0.0, n_estimators=100,
  5923. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  5924. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  5925. 2022-01-17 16:21:05,642:INFO:Checking exceptions
  5926. 2022-01-17 16:21:05,642:INFO:Importing libraries
  5927. 2022-01-17 16:21:05,642:INFO:Copying training dataset
  5928. 2022-01-17 16:21:05,643:INFO:Defining folds
  5929. 2022-01-17 16:21:05,643:INFO:Declaring metric variables
  5930. 2022-01-17 16:21:05,643:INFO:Importing untrained model
  5931. 2022-01-17 16:21:05,643:INFO:Declaring custom model
  5932. 2022-01-17 16:21:05,644:INFO:Random Forest Classifier Imported succesfully
  5933. 2022-01-17 16:21:05,644:INFO:Cross validation set to False
  5934. 2022-01-17 16:21:05,644:INFO:Fitting Model
  5935. 2022-01-17 16:21:06,028:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5936. criterion='gini', max_depth=None, max_features='auto',
  5937. max_leaf_nodes=None, max_samples=None,
  5938. min_impurity_decrease=0.0, min_impurity_split=None,
  5939. min_samples_leaf=1, min_samples_split=2,
  5940. min_weight_fraction_leaf=0.0, n_estimators=100,
  5941. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  5942. warm_start=False)
  5943. 2022-01-17 16:21:06,028:INFO:create_models() succesfully completed......................................
  5944. 2022-01-17 16:21:06,141:INFO:create_model_container: 14
  5945. 2022-01-17 16:21:06,142:INFO:master_model_container: 14
  5946. 2022-01-17 16:21:06,142:INFO:display_container: 2
  5947. 2022-01-17 16:21:06,142:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5948. criterion='gini', max_depth=None, max_features='auto',
  5949. max_leaf_nodes=None, max_samples=None,
  5950. min_impurity_decrease=0.0, min_impurity_split=None,
  5951. min_samples_leaf=1, min_samples_split=2,
  5952. min_weight_fraction_leaf=0.0, n_estimators=100,
  5953. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  5954. warm_start=False)
  5955. 2022-01-17 16:21:06,142:INFO:compare_models() succesfully completed......................................
  5956. 2022-01-17 16:21:25,578:INFO:Initializing create_model()
  5957. 2022-01-17 16:21:25,578:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  5958. 2022-01-17 16:21:25,578:INFO:Checking exceptions
  5959. 2022-01-17 16:21:25,578:INFO:Preparing display monitor
  5960. 2022-01-17 16:21:25,589:INFO:Importing libraries
  5961. 2022-01-17 16:21:25,589:INFO:Copying training dataset
  5962. 2022-01-17 16:21:25,590:INFO:Defining folds
  5963. 2022-01-17 16:21:25,591:INFO:Declaring metric variables
  5964. 2022-01-17 16:21:25,595:INFO:Importing untrained model
  5965. 2022-01-17 16:21:25,600:INFO:Decision Tree Classifier Imported succesfully
  5966. 2022-01-17 16:21:25,610:INFO:Starting cross validation
  5967. 2022-01-17 16:21:25,611:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5968. 2022-01-17 16:21:26,551:INFO:Calculating mean and std
  5969. 2022-01-17 16:21:26,552:INFO:Creating metrics dataframe
  5970. 2022-01-17 16:21:26,559:INFO:Finalizing model
  5971. 2022-01-17 16:21:26,651:INFO:Uploading results into container
  5972. 2022-01-17 16:21:26,651:INFO:Uploading model into container now
  5973. 2022-01-17 16:21:26,661:INFO:create_model_container: 15
  5974. 2022-01-17 16:21:26,661:INFO:master_model_container: 15
  5975. 2022-01-17 16:21:26,661:INFO:display_container: 3
  5976. 2022-01-17 16:21:26,662:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5977. max_depth=None, max_features=None, max_leaf_nodes=None,
  5978. min_impurity_decrease=0.0, min_impurity_split=None,
  5979. min_samples_leaf=1, min_samples_split=2,
  5980. min_weight_fraction_leaf=0.0, presort='deprecated',
  5981. random_state=424, splitter='best')
  5982. 2022-01-17 16:21:26,662:INFO:create_model() succesfully completed......................................
  5983. 2022-01-17 16:21:31,473:INFO:Initializing evaluate_model()
  5984. 2022-01-17 16:21:31,473:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5985. max_depth=None, max_features=None, max_leaf_nodes=None,
  5986. min_impurity_decrease=0.0, min_impurity_split=None,
  5987. min_samples_leaf=1, min_samples_split=2,
  5988. min_weight_fraction_leaf=0.0, presort='deprecated',
  5989. random_state=424, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  5990. 2022-01-17 16:21:31,484:INFO:Initializing plot_model()
  5991. 2022-01-17 16:21:31,484:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5992. max_depth=None, max_features=None, max_leaf_nodes=None,
  5993. min_impurity_decrease=0.0, min_impurity_split=None,
  5994. min_samples_leaf=1, min_samples_split=2,
  5995. min_weight_fraction_leaf=0.0, presort='deprecated',
  5996. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  5997. 2022-01-17 16:21:31,484:INFO:Checking exceptions
  5998. 2022-01-17 16:21:31,485:INFO:Preparing display monitor
  5999. 2022-01-17 16:21:31,489:INFO:Preloading libraries
  6000. 2022-01-17 16:21:31,490:INFO:Copying training dataset
  6001. 2022-01-17 16:21:31,491:INFO:Copying test dataset
  6002. 2022-01-17 16:21:31,491:INFO:Plot type: parameter
  6003. 2022-01-17 16:21:31,496:INFO:Visual Rendered Successfully
  6004. 2022-01-17 16:21:31,577:INFO:plot_model() succesfully completed......................................
  6005. 2022-01-17 16:21:40,997:INFO:Initializing plot_model()
  6006. 2022-01-17 16:21:40,998:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6007. max_depth=None, max_features=None, max_leaf_nodes=None,
  6008. min_impurity_decrease=0.0, min_impurity_split=None,
  6009. min_samples_leaf=1, min_samples_split=2,
  6010. min_weight_fraction_leaf=0.0, presort='deprecated',
  6011. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6012. 2022-01-17 16:21:40,998:INFO:Checking exceptions
  6013. 2022-01-17 16:21:40,999:INFO:Preparing display monitor
  6014. 2022-01-17 16:21:41,003:INFO:Preloading libraries
  6015. 2022-01-17 16:21:41,004:INFO:Copying training dataset
  6016. 2022-01-17 16:21:41,005:INFO:Copying test dataset
  6017. 2022-01-17 16:21:41,006:INFO:Plot type: feature
  6018. 2022-01-17 16:21:41,007:WARNING:No coef_ found. Trying feature_importances_
  6019. 2022-01-17 16:21:41,081:INFO:Visual Rendered Successfully
  6020. 2022-01-17 16:21:41,162:INFO:plot_model() succesfully completed......................................
  6021. 2022-01-17 16:21:57,784:INFO:Initializing create_model()
  6022. 2022-01-17 16:21:57,785:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6023. 2022-01-17 16:21:57,785:INFO:Checking exceptions
  6024. 2022-01-17 16:21:57,785:INFO:Preparing display monitor
  6025. 2022-01-17 16:21:57,796:INFO:Importing libraries
  6026. 2022-01-17 16:21:57,796:INFO:Copying training dataset
  6027. 2022-01-17 16:21:57,797:INFO:Defining folds
  6028. 2022-01-17 16:21:57,798:INFO:Declaring metric variables
  6029. 2022-01-17 16:21:57,803:INFO:Importing untrained model
  6030. 2022-01-17 16:21:57,807:INFO:Decision Tree Classifier Imported succesfully
  6031. 2022-01-17 16:21:57,817:INFO:Starting cross validation
  6032. 2022-01-17 16:21:57,818:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6033. 2022-01-17 16:21:58,752:INFO:Calculating mean and std
  6034. 2022-01-17 16:21:58,753:INFO:Creating metrics dataframe
  6035. 2022-01-17 16:21:58,759:INFO:Finalizing model
  6036. 2022-01-17 16:21:58,850:INFO:Uploading results into container
  6037. 2022-01-17 16:21:58,851:INFO:Uploading model into container now
  6038. 2022-01-17 16:21:58,860:INFO:create_model_container: 16
  6039. 2022-01-17 16:21:58,860:INFO:master_model_container: 16
  6040. 2022-01-17 16:21:58,861:INFO:display_container: 4
  6041. 2022-01-17 16:21:58,861:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6042. max_depth=None, max_features=None, max_leaf_nodes=None,
  6043. min_impurity_decrease=0.0, min_impurity_split=None,
  6044. min_samples_leaf=1, min_samples_split=2,
  6045. min_weight_fraction_leaf=0.0, presort='deprecated',
  6046. random_state=424, splitter='best')
  6047. 2022-01-17 16:21:58,861:INFO:create_model() succesfully completed......................................
  6048. 2022-01-17 16:22:01,309:INFO:Initializing tune_model()
  6049. 2022-01-17 16:22:01,309:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6050. max_depth=None, max_features=None, max_leaf_nodes=None,
  6051. min_impurity_decrease=0.0, min_impurity_split=None,
  6052. min_samples_leaf=1, min_samples_split=2,
  6053. min_weight_fraction_leaf=0.0, presort='deprecated',
  6054. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6055. 2022-01-17 16:22:01,310:INFO:Checking exceptions
  6056. 2022-01-17 16:22:01,311:INFO:Preparing display monitor
  6057. 2022-01-17 16:22:01,324:INFO:Copying training dataset
  6058. 2022-01-17 16:22:01,325:INFO:Checking base model
  6059. 2022-01-17 16:22:01,325:INFO:Base model : Decision Tree Classifier
  6060. 2022-01-17 16:22:01,331:INFO:Declaring metric variables
  6061. 2022-01-17 16:22:01,337:INFO:Defining Hyperparameters
  6062. 2022-01-17 16:22:01,419:INFO:Tuning with n_jobs=-1
  6063. 2022-01-17 16:22:01,420:INFO:Initializing RandomizedSearchCV
  6064. 2022-01-17 16:22:02,741:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 2, 'actual_estimator__min_impurity_decrease': 0, 'actual_estimator__max_features': 'log2', 'actual_estimator__max_depth': 14, 'actual_estimator__criterion': 'entropy'}
  6065. 2022-01-17 16:22:02,742:INFO:Hyperparameter search completed
  6066. 2022-01-17 16:22:02,742:INFO:SubProcess create_model() called ==================================
  6067. 2022-01-17 16:22:02,742:INFO:Initializing create_model()
  6068. 2022-01-17 16:22:02,742:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6069. max_depth=None, max_features=None, max_leaf_nodes=None,
  6070. min_impurity_decrease=0.0, min_impurity_split=None,
  6071. min_samples_leaf=1, min_samples_split=2,
  6072. min_weight_fraction_leaf=0.0, presort='deprecated',
  6073. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582e37fa0>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 2, 'min_impurity_decrease': 0, 'max_features': 'log2', 'max_depth': 14, 'criterion': 'entropy'})
  6074. 2022-01-17 16:22:02,743:INFO:Checking exceptions
  6075. 2022-01-17 16:22:02,743:INFO:Importing libraries
  6076. 2022-01-17 16:22:02,743:INFO:Copying training dataset
  6077. 2022-01-17 16:22:02,744:INFO:Defining folds
  6078. 2022-01-17 16:22:02,744:INFO:Declaring metric variables
  6079. 2022-01-17 16:22:02,749:INFO:Importing untrained model
  6080. 2022-01-17 16:22:02,749:INFO:Declaring custom model
  6081. 2022-01-17 16:22:02,754:INFO:Decision Tree Classifier Imported succesfully
  6082. 2022-01-17 16:22:02,765:INFO:Starting cross validation
  6083. 2022-01-17 16:22:02,765:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6084. 2022-01-17 16:22:03,022:INFO:Calculating mean and std
  6085. 2022-01-17 16:22:03,022:INFO:Creating metrics dataframe
  6086. 2022-01-17 16:22:03,029:INFO:Finalizing model
  6087. 2022-01-17 16:22:03,047:INFO:Uploading results into container
  6088. 2022-01-17 16:22:03,048:INFO:Uploading model into container now
  6089. 2022-01-17 16:22:03,048:INFO:create_model_container: 17
  6090. 2022-01-17 16:22:03,048:INFO:master_model_container: 17
  6091. 2022-01-17 16:22:03,048:INFO:display_container: 5
  6092. 2022-01-17 16:22:03,049:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6093. max_depth=14, max_features='log2', max_leaf_nodes=None,
  6094. min_impurity_decrease=0, min_impurity_split=None,
  6095. min_samples_leaf=2, min_samples_split=5,
  6096. min_weight_fraction_leaf=0.0, presort='deprecated',
  6097. random_state=424, splitter='best')
  6098. 2022-01-17 16:22:03,049:INFO:create_model() succesfully completed......................................
  6099. 2022-01-17 16:22:03,129:INFO:SubProcess create_model() end ==================================
  6100. 2022-01-17 16:22:03,138:INFO:create_model_container: 17
  6101. 2022-01-17 16:22:03,139:INFO:master_model_container: 17
  6102. 2022-01-17 16:22:03,139:INFO:display_container: 5
  6103. 2022-01-17 16:22:03,139:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6104. max_depth=14, max_features='log2', max_leaf_nodes=None,
  6105. min_impurity_decrease=0, min_impurity_split=None,
  6106. min_samples_leaf=2, min_samples_split=5,
  6107. min_weight_fraction_leaf=0.0, presort='deprecated',
  6108. random_state=424, splitter='best')
  6109. 2022-01-17 16:22:03,139:INFO:tune_model() succesfully completed......................................
  6110. 2022-01-17 16:22:20,303:INFO:Initializing create_model()
  6111. 2022-01-17 16:22:20,304:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6112. 2022-01-17 16:22:20,304:INFO:Checking exceptions
  6113. 2022-01-17 16:22:20,304:INFO:Preparing display monitor
  6114. 2022-01-17 16:22:20,315:INFO:Importing libraries
  6115. 2022-01-17 16:22:20,315:INFO:Copying training dataset
  6116. 2022-01-17 16:22:20,316:INFO:Defining folds
  6117. 2022-01-17 16:22:20,316:INFO:Declaring metric variables
  6118. 2022-01-17 16:22:20,321:INFO:Importing untrained model
  6119. 2022-01-17 16:22:20,326:INFO:Decision Tree Classifier Imported succesfully
  6120. 2022-01-17 16:22:20,336:INFO:Starting cross validation
  6121. 2022-01-17 16:22:20,336:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6122. 2022-01-17 16:22:21,284:INFO:Calculating mean and std
  6123. 2022-01-17 16:22:21,285:INFO:Creating metrics dataframe
  6124. 2022-01-17 16:22:21,291:INFO:Finalizing model
  6125. 2022-01-17 16:22:21,386:INFO:Uploading results into container
  6126. 2022-01-17 16:22:21,386:INFO:Uploading model into container now
  6127. 2022-01-17 16:22:21,396:INFO:create_model_container: 18
  6128. 2022-01-17 16:22:21,396:INFO:master_model_container: 18
  6129. 2022-01-17 16:22:21,396:INFO:display_container: 6
  6130. 2022-01-17 16:22:21,396:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6131. max_depth=None, max_features=None, max_leaf_nodes=None,
  6132. min_impurity_decrease=0.0, min_impurity_split=None,
  6133. min_samples_leaf=1, min_samples_split=2,
  6134. min_weight_fraction_leaf=0.0, presort='deprecated',
  6135. random_state=424, splitter='best')
  6136. 2022-01-17 16:22:21,396:INFO:create_model() succesfully completed......................................
  6137. 2022-01-17 16:22:25,374:INFO:Initializing create_model()
  6138. 2022-01-17 16:22:25,374:INFO:create_model(estimator=knn, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6139. 2022-01-17 16:22:25,374:INFO:Checking exceptions
  6140. 2022-01-17 16:22:25,374:INFO:Preparing display monitor
  6141. 2022-01-17 16:22:25,385:INFO:Importing libraries
  6142. 2022-01-17 16:22:25,386:INFO:Copying training dataset
  6143. 2022-01-17 16:22:25,387:INFO:Defining folds
  6144. 2022-01-17 16:22:25,387:INFO:Declaring metric variables
  6145. 2022-01-17 16:22:25,393:INFO:Importing untrained model
  6146. 2022-01-17 16:22:25,398:INFO:K Neighbors Classifier Imported succesfully
  6147. 2022-01-17 16:22:25,408:INFO:Starting cross validation
  6148. 2022-01-17 16:22:25,409:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6149. 2022-01-17 16:22:41,934:INFO:Calculating mean and std
  6150. 2022-01-17 16:22:41,935:INFO:Creating metrics dataframe
  6151. 2022-01-17 16:22:41,942:INFO:Finalizing model
  6152. 2022-01-17 16:22:43,431:INFO:Uploading results into container
  6153. 2022-01-17 16:22:43,431:INFO:Uploading model into container now
  6154. 2022-01-17 16:22:43,440:INFO:create_model_container: 19
  6155. 2022-01-17 16:22:43,440:INFO:master_model_container: 19
  6156. 2022-01-17 16:22:43,440:INFO:display_container: 7
  6157. 2022-01-17 16:22:43,441:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6158. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6159. weights='uniform')
  6160. 2022-01-17 16:22:43,441:INFO:create_model() succesfully completed......................................
  6161. 2022-01-17 16:22:51,041:INFO:Initializing evaluate_model()
  6162. 2022-01-17 16:22:51,041:INFO:evaluate_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6163. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6164. weights='uniform'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  6165. 2022-01-17 16:22:51,053:INFO:Initializing plot_model()
  6166. 2022-01-17 16:22:51,054:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6167. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6168. weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  6169. 2022-01-17 16:22:51,054:INFO:Checking exceptions
  6170. 2022-01-17 16:22:51,055:INFO:Preparing display monitor
  6171. 2022-01-17 16:22:51,060:INFO:Preloading libraries
  6172. 2022-01-17 16:22:51,063:INFO:Copying training dataset
  6173. 2022-01-17 16:22:51,064:INFO:Copying test dataset
  6174. 2022-01-17 16:22:51,064:INFO:Plot type: parameter
  6175. 2022-01-17 16:22:51,068:INFO:Visual Rendered Successfully
  6176. 2022-01-17 16:22:51,155:INFO:plot_model() succesfully completed......................................
  6177. 2022-01-17 16:22:53,286:INFO:Initializing plot_model()
  6178. 2022-01-17 16:22:53,287:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6179. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6180. weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  6181. 2022-01-17 16:22:53,287:INFO:Checking exceptions
  6182. 2022-01-17 16:22:53,288:INFO:Preparing display monitor
  6183. 2022-01-17 16:22:53,291:INFO:Preloading libraries
  6184. 2022-01-17 16:22:53,294:INFO:Copying training dataset
  6185. 2022-01-17 16:22:53,295:INFO:Copying test dataset
  6186. 2022-01-17 16:22:53,295:INFO:Plot type: confusion_matrix
  6187. 2022-01-17 16:22:53,296:INFO:Initializing get_config()
  6188. 2022-01-17 16:22:53,296:INFO:get_config(variable=prep_pipe)
  6189. 2022-01-17 16:22:53,299:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  6190. steps=[('dtypes',
  6191. DataTypes_Auto_infer(categorical_features=[],
  6192. display_types=True, features_todrop=[],
  6193. id_columns=[],
  6194. ml_usecase='classification',
  6195. numerical_features=[], target='label',
  6196. time_features=[])),
  6197. ('imputer',
  6198. Simple_Imputer(categorical_strategy='not_available',
  6199. fill_value_categorical=None,
  6200. fill_value_numerical=None,
  6201. numeric_strate...
  6202. target='label')),
  6203. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  6204. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  6205. ('dummy', Dummify(target='label')),
  6206. ('fix_perfect', Remove_100(target='label')),
  6207. ('clean_names', Clean_Colum_Names()),
  6208. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  6209. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  6210. verbose=False)
  6211. 2022-01-17 16:22:53,299:INFO:get_config() succesfully completed......................................
  6212. 2022-01-17 16:22:53,300:INFO:Fitting Model
  6213. 2022-01-17 16:22:53,306:INFO:Scoring test/hold-out set
  6214. 2022-01-17 16:22:58,388:INFO:Visual Rendered Successfully
  6215. 2022-01-17 16:22:58,458:INFO:plot_model() succesfully completed......................................
  6216. 2022-01-17 16:23:02,216:INFO:Initializing plot_model()
  6217. 2022-01-17 16:23:02,216:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6218. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6219. weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6220. 2022-01-17 16:23:02,216:INFO:Checking exceptions
  6221. 2022-01-17 16:23:04,690:INFO:Initializing plot_model()
  6222. 2022-01-17 16:23:04,691:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6223. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6224. weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6225. 2022-01-17 16:23:04,691:INFO:Checking exceptions
  6226. 2022-01-17 16:23:10,866:INFO:Initializing create_model()
  6227. 2022-01-17 16:23:10,866:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6228. 2022-01-17 16:23:10,866:INFO:Checking exceptions
  6229. 2022-01-17 16:23:10,867:INFO:Preparing display monitor
  6230. 2022-01-17 16:23:10,877:INFO:Importing libraries
  6231. 2022-01-17 16:23:10,878:INFO:Copying training dataset
  6232. 2022-01-17 16:23:10,879:INFO:Defining folds
  6233. 2022-01-17 16:23:10,879:INFO:Declaring metric variables
  6234. 2022-01-17 16:23:10,884:INFO:Importing untrained model
  6235. 2022-01-17 16:23:10,889:INFO:Decision Tree Classifier Imported succesfully
  6236. 2022-01-17 16:23:10,899:INFO:Starting cross validation
  6237. 2022-01-17 16:23:10,900:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6238. 2022-01-17 16:23:11,844:INFO:Calculating mean and std
  6239. 2022-01-17 16:23:11,845:INFO:Creating metrics dataframe
  6240. 2022-01-17 16:23:11,852:INFO:Finalizing model
  6241. 2022-01-17 16:23:11,947:INFO:Uploading results into container
  6242. 2022-01-17 16:23:11,947:INFO:Uploading model into container now
  6243. 2022-01-17 16:23:11,957:INFO:create_model_container: 20
  6244. 2022-01-17 16:23:11,957:INFO:master_model_container: 20
  6245. 2022-01-17 16:23:11,957:INFO:display_container: 8
  6246. 2022-01-17 16:23:11,957:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6247. max_depth=None, max_features=None, max_leaf_nodes=None,
  6248. min_impurity_decrease=0.0, min_impurity_split=None,
  6249. min_samples_leaf=1, min_samples_split=2,
  6250. min_weight_fraction_leaf=0.0, presort='deprecated',
  6251. random_state=424, splitter='best')
  6252. 2022-01-17 16:23:11,957:INFO:create_model() succesfully completed......................................
  6253. 2022-01-17 16:23:16,238:INFO:Initializing evaluate_model()
  6254. 2022-01-17 16:23:16,238:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6255. max_depth=None, max_features=None, max_leaf_nodes=None,
  6256. min_impurity_decrease=0.0, min_impurity_split=None,
  6257. min_samples_leaf=1, min_samples_split=2,
  6258. min_weight_fraction_leaf=0.0, presort='deprecated',
  6259. random_state=424, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  6260. 2022-01-17 16:23:16,249:INFO:Initializing plot_model()
  6261. 2022-01-17 16:23:16,249:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6262. max_depth=None, max_features=None, max_leaf_nodes=None,
  6263. min_impurity_decrease=0.0, min_impurity_split=None,
  6264. min_samples_leaf=1, min_samples_split=2,
  6265. min_weight_fraction_leaf=0.0, presort='deprecated',
  6266. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  6267. 2022-01-17 16:23:16,249:INFO:Checking exceptions
  6268. 2022-01-17 16:23:16,250:INFO:Preparing display monitor
  6269. 2022-01-17 16:23:16,254:INFO:Preloading libraries
  6270. 2022-01-17 16:23:16,255:INFO:Copying training dataset
  6271. 2022-01-17 16:23:16,256:INFO:Copying test dataset
  6272. 2022-01-17 16:23:16,256:INFO:Plot type: parameter
  6273. 2022-01-17 16:23:16,261:INFO:Visual Rendered Successfully
  6274. 2022-01-17 16:23:16,339:INFO:plot_model() succesfully completed......................................
  6275. 2022-01-17 16:23:18,308:INFO:Initializing plot_model()
  6276. 2022-01-17 16:23:18,308:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6277. max_depth=None, max_features=None, max_leaf_nodes=None,
  6278. min_impurity_decrease=0.0, min_impurity_split=None,
  6279. min_samples_leaf=1, min_samples_split=2,
  6280. min_weight_fraction_leaf=0.0, presort='deprecated',
  6281. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6282. 2022-01-17 16:23:18,308:INFO:Checking exceptions
  6283. 2022-01-17 16:23:18,309:INFO:Preparing display monitor
  6284. 2022-01-17 16:23:18,313:INFO:Preloading libraries
  6285. 2022-01-17 16:23:18,314:INFO:Copying training dataset
  6286. 2022-01-17 16:23:18,315:INFO:Copying test dataset
  6287. 2022-01-17 16:23:18,315:INFO:Plot type: feature
  6288. 2022-01-17 16:23:18,316:WARNING:No coef_ found. Trying feature_importances_
  6289. 2022-01-17 16:23:18,390:INFO:Visual Rendered Successfully
  6290. 2022-01-17 16:23:18,465:INFO:plot_model() succesfully completed......................................
  6291. 2022-01-17 16:23:20,332:INFO:Initializing plot_model()
  6292. 2022-01-17 16:23:20,332:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6293. max_depth=None, max_features=None, max_leaf_nodes=None,
  6294. min_impurity_decrease=0.0, min_impurity_split=None,
  6295. min_samples_leaf=1, min_samples_split=2,
  6296. min_weight_fraction_leaf=0.0, presort='deprecated',
  6297. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6298. 2022-01-17 16:23:20,333:INFO:Checking exceptions
  6299. 2022-01-17 16:23:20,333:INFO:Preparing display monitor
  6300. 2022-01-17 16:23:20,338:INFO:Preloading libraries
  6301. 2022-01-17 16:23:20,338:INFO:Copying training dataset
  6302. 2022-01-17 16:23:20,339:INFO:Copying test dataset
  6303. 2022-01-17 16:23:20,340:INFO:Plot type: feature_all
  6304. 2022-01-17 16:23:20,341:WARNING:No coef_ found. Trying feature_importances_
  6305. 2022-01-17 16:23:20,551:INFO:Visual Rendered Successfully
  6306. 2022-01-17 16:23:20,630:INFO:plot_model() succesfully completed......................................
  6307. 2022-01-17 16:23:23,527:INFO:Initializing plot_model()
  6308. 2022-01-17 16:23:23,527:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6309. max_depth=None, max_features=None, max_leaf_nodes=None,
  6310. min_impurity_decrease=0.0, min_impurity_split=None,
  6311. min_samples_leaf=1, min_samples_split=2,
  6312. min_weight_fraction_leaf=0.0, presort='deprecated',
  6313. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6314. 2022-01-17 16:23:23,527:INFO:Checking exceptions
  6315. 2022-01-17 16:23:23,528:INFO:Preparing display monitor
  6316. 2022-01-17 16:23:23,532:INFO:Preloading libraries
  6317. 2022-01-17 16:23:23,533:INFO:Copying training dataset
  6318. 2022-01-17 16:23:23,534:INFO:Copying test dataset
  6319. 2022-01-17 16:23:23,534:INFO:Plot type: feature
  6320. 2022-01-17 16:23:23,535:WARNING:No coef_ found. Trying feature_importances_
  6321. 2022-01-17 16:23:23,608:INFO:Visual Rendered Successfully
  6322. 2022-01-17 16:23:23,685:INFO:plot_model() succesfully completed......................................
  6323. 2022-01-17 16:25:43,316:INFO:Initializing plot_model()
  6324. 2022-01-17 16:25:43,316:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6325. max_depth=None, max_features=None, max_leaf_nodes=None,
  6326. min_impurity_decrease=0.0, min_impurity_split=None,
  6327. min_samples_leaf=1, min_samples_split=2,
  6328. min_weight_fraction_leaf=0.0, presort='deprecated',
  6329. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6330. 2022-01-17 16:25:43,316:INFO:Checking exceptions
  6331. 2022-01-17 16:25:43,317:INFO:Preparing display monitor
  6332. 2022-01-17 16:25:43,321:INFO:Preloading libraries
  6333. 2022-01-17 16:25:43,322:INFO:Copying training dataset
  6334. 2022-01-17 16:25:43,322:INFO:Copying test dataset
  6335. 2022-01-17 16:25:43,323:INFO:Plot type: feature_all
  6336. 2022-01-17 16:25:43,324:WARNING:No coef_ found. Trying feature_importances_
  6337. 2022-01-17 16:25:43,535:INFO:Visual Rendered Successfully
  6338. 2022-01-17 16:25:43,610:INFO:plot_model() succesfully completed......................................
  6339. 2022-01-17 16:29:27,421:INFO:Initializing plot_model()
  6340. 2022-01-17 16:29:27,421:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6341. max_depth=None, max_features=None, max_leaf_nodes=None,
  6342. min_impurity_decrease=0.0, min_impurity_split=None,
  6343. min_samples_leaf=1, min_samples_split=2,
  6344. min_weight_fraction_leaf=0.0, presort='deprecated',
  6345. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6346. 2022-01-17 16:29:27,421:INFO:Checking exceptions
  6347. 2022-01-17 16:29:27,422:INFO:Preparing display monitor
  6348. 2022-01-17 16:29:27,426:INFO:Preloading libraries
  6349. 2022-01-17 16:29:27,427:INFO:Copying training dataset
  6350. 2022-01-17 16:29:27,428:INFO:Copying test dataset
  6351. 2022-01-17 16:29:27,428:INFO:Plot type: feature
  6352. 2022-01-17 16:29:27,429:WARNING:No coef_ found. Trying feature_importances_
  6353. 2022-01-17 16:29:27,505:INFO:Visual Rendered Successfully
  6354. 2022-01-17 16:29:27,591:INFO:plot_model() succesfully completed......................................
  6355. 2022-01-17 16:30:26,479:INFO:Initializing plot_model()
  6356. 2022-01-17 16:30:26,480:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6357. max_depth=None, max_features=None, max_leaf_nodes=None,
  6358. min_impurity_decrease=0.0, min_impurity_split=None,
  6359. min_samples_leaf=1, min_samples_split=2,
  6360. min_weight_fraction_leaf=0.0, presort='deprecated',
  6361. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  6362. 2022-01-17 16:30:26,480:INFO:Checking exceptions
  6363. 2022-01-17 16:30:26,481:INFO:Preparing display monitor
  6364. 2022-01-17 16:30:26,484:INFO:Preloading libraries
  6365. 2022-01-17 16:30:26,485:INFO:Copying training dataset
  6366. 2022-01-17 16:30:26,486:INFO:Copying test dataset
  6367. 2022-01-17 16:30:26,486:INFO:Plot type: confusion_matrix
  6368. 2022-01-17 16:30:26,487:INFO:Initializing get_config()
  6369. 2022-01-17 16:30:26,487:INFO:get_config(variable=prep_pipe)
  6370. 2022-01-17 16:30:26,491:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  6371. steps=[('dtypes',
  6372. DataTypes_Auto_infer(categorical_features=[],
  6373. display_types=True, features_todrop=[],
  6374. id_columns=[],
  6375. ml_usecase='classification',
  6376. numerical_features=[], target='label',
  6377. time_features=[])),
  6378. ('imputer',
  6379. Simple_Imputer(categorical_strategy='not_available',
  6380. fill_value_categorical=None,
  6381. fill_value_numerical=None,
  6382. numeric_strate...
  6383. target='label')),
  6384. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  6385. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  6386. ('dummy', Dummify(target='label')),
  6387. ('fix_perfect', Remove_100(target='label')),
  6388. ('clean_names', Clean_Colum_Names()),
  6389. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  6390. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  6391. verbose=False)
  6392. 2022-01-17 16:30:26,491:INFO:get_config() succesfully completed......................................
  6393. 2022-01-17 16:30:26,491:INFO:Fitting Model
  6394. 2022-01-17 16:30:26,492:INFO:Scoring test/hold-out set
  6395. 2022-01-17 16:30:26,577:INFO:Visual Rendered Successfully
  6396. 2022-01-17 16:30:26,650:INFO:plot_model() succesfully completed......................................
  6397. 2022-01-17 16:30:54,379:INFO:Initializing plot_model()
  6398. 2022-01-17 16:30:54,379:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6399. max_depth=None, max_features=None, max_leaf_nodes=None,
  6400. min_impurity_decrease=0.0, min_impurity_split=None,
  6401. min_samples_leaf=1, min_samples_split=2,
  6402. min_weight_fraction_leaf=0.0, presort='deprecated',
  6403. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6404. 2022-01-17 16:30:54,379:INFO:Checking exceptions
  6405. 2022-01-17 16:30:54,380:INFO:Preparing display monitor
  6406. 2022-01-17 16:30:54,384:INFO:Preloading libraries
  6407. 2022-01-17 16:30:54,385:INFO:Copying training dataset
  6408. 2022-01-17 16:30:54,386:INFO:Copying test dataset
  6409. 2022-01-17 16:30:54,386:INFO:Plot type: feature
  6410. 2022-01-17 16:30:54,387:WARNING:No coef_ found. Trying feature_importances_
  6411. 2022-01-17 16:30:54,461:INFO:Visual Rendered Successfully
  6412. 2022-01-17 16:30:54,542:INFO:plot_model() succesfully completed......................................
  6413. 2022-01-17 16:30:58,346:INFO:Initializing plot_model()
  6414. 2022-01-17 16:30:58,346:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6415. max_depth=None, max_features=None, max_leaf_nodes=None,
  6416. min_impurity_decrease=0.0, min_impurity_split=None,
  6417. min_samples_leaf=1, min_samples_split=2,
  6418. min_weight_fraction_leaf=0.0, presort='deprecated',
  6419. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6420. 2022-01-17 16:30:58,346:INFO:Checking exceptions
  6421. 2022-01-17 16:30:58,347:INFO:Preparing display monitor
  6422. 2022-01-17 16:30:58,351:INFO:Preloading libraries
  6423. 2022-01-17 16:30:58,352:INFO:Copying training dataset
  6424. 2022-01-17 16:30:58,352:INFO:Copying test dataset
  6425. 2022-01-17 16:30:58,353:INFO:Plot type: feature_all
  6426. 2022-01-17 16:30:58,354:WARNING:No coef_ found. Trying feature_importances_
  6427. 2022-01-17 16:30:58,568:INFO:Visual Rendered Successfully
  6428. 2022-01-17 16:30:58,648:INFO:plot_model() succesfully completed......................................
  6429. 2022-01-17 16:31:23,578:INFO:Initializing plot_model()
  6430. 2022-01-17 16:31:23,578:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6431. max_depth=None, max_features=None, max_leaf_nodes=None,
  6432. min_impurity_decrease=0.0, min_impurity_split=None,
  6433. min_samples_leaf=1, min_samples_split=2,
  6434. min_weight_fraction_leaf=0.0, presort='deprecated',
  6435. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6436. 2022-01-17 16:31:23,578:INFO:Checking exceptions
  6437. 2022-01-17 16:31:23,579:INFO:Preparing display monitor
  6438. 2022-01-17 16:31:23,583:INFO:Preloading libraries
  6439. 2022-01-17 16:31:23,584:INFO:Copying training dataset
  6440. 2022-01-17 16:31:23,585:INFO:Copying test dataset
  6441. 2022-01-17 16:31:23,586:INFO:Plot type: feature
  6442. 2022-01-17 16:31:23,587:WARNING:No coef_ found. Trying feature_importances_
  6443. 2022-01-17 16:31:23,662:INFO:Visual Rendered Successfully
  6444. 2022-01-17 16:31:23,741:INFO:plot_model() succesfully completed......................................
  6445. 2022-01-17 16:33:31,624:INFO:Initializing plot_model()
  6446. 2022-01-17 16:33:31,624:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6447. max_depth=None, max_features=None, max_leaf_nodes=None,
  6448. min_impurity_decrease=0.0, min_impurity_split=None,
  6449. min_samples_leaf=1, min_samples_split=2,
  6450. min_weight_fraction_leaf=0.0, presort='deprecated',
  6451. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6452. 2022-01-17 16:33:31,624:INFO:Checking exceptions
  6453. 2022-01-17 16:33:31,625:INFO:Preparing display monitor
  6454. 2022-01-17 16:33:31,630:INFO:Preloading libraries
  6455. 2022-01-17 16:33:31,631:INFO:Copying training dataset
  6456. 2022-01-17 16:33:31,632:INFO:Copying test dataset
  6457. 2022-01-17 16:33:31,632:INFO:Plot type: feature_all
  6458. 2022-01-17 16:33:31,633:WARNING:No coef_ found. Trying feature_importances_
  6459. 2022-01-17 16:33:31,871:INFO:Visual Rendered Successfully
  6460. 2022-01-17 16:33:31,956:INFO:plot_model() succesfully completed......................................
  6461. 2022-01-17 16:42:17,265:INFO:Initializing plot_model()
  6462. 2022-01-17 16:42:17,265:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6463. max_depth=None, max_features=None, max_leaf_nodes=None,
  6464. min_impurity_decrease=0.0, min_impurity_split=None,
  6465. min_samples_leaf=1, min_samples_split=2,
  6466. min_weight_fraction_leaf=0.0, presort='deprecated',
  6467. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
  6468. 2022-01-17 16:42:17,265:INFO:Checking exceptions
  6469. 2022-01-17 16:42:17,266:INFO:Preparing display monitor
  6470. 2022-01-17 16:42:17,271:INFO:Preloading libraries
  6471. 2022-01-17 16:42:17,271:INFO:Copying training dataset
  6472. 2022-01-17 16:42:17,272:INFO:Copying test dataset
  6473. 2022-01-17 16:42:17,273:INFO:Plot type: boundary
  6474. 2022-01-17 16:42:17,277:INFO:Fitting StandardScaler()
  6475. 2022-01-17 16:42:17,296:INFO:Fitting PCA()
  6476. 2022-01-17 16:42:17,487:INFO:Initializing get_config()
  6477. 2022-01-17 16:42:17,490:INFO:get_config(variable=prep_pipe)
  6478. 2022-01-17 16:42:17,495:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  6479. steps=[('dtypes',
  6480. DataTypes_Auto_infer(categorical_features=[],
  6481. display_types=True, features_todrop=[],
  6482. id_columns=[],
  6483. ml_usecase='classification',
  6484. numerical_features=[], target='label',
  6485. time_features=[])),
  6486. ('imputer',
  6487. Simple_Imputer(categorical_strategy='not_available',
  6488. fill_value_categorical=None,
  6489. fill_value_numerical=None,
  6490. numeric_strate...
  6491. target='label')),
  6492. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  6493. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  6494. ('dummy', Dummify(target='label')),
  6495. ('fix_perfect', Remove_100(target='label')),
  6496. ('clean_names', Clean_Colum_Names()),
  6497. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  6498. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  6499. verbose=False)
  6500. 2022-01-17 16:42:17,501:INFO:get_config() succesfully completed......................................
  6501. 2022-01-17 16:42:17,502:INFO:Fitting Model
  6502. 2022-01-17 16:42:18,546:INFO:Visual Rendered Successfully
  6503. 2022-01-17 16:42:18,654:INFO:plot_model() succesfully completed......................................
  6504. 2022-01-17 16:47:25,336:INFO:Initializing plot_model()
  6505. 2022-01-17 16:47:25,336:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6506. max_depth=None, max_features=None, max_leaf_nodes=None,
  6507. min_impurity_decrease=0.0, min_impurity_split=None,
  6508. min_samples_leaf=1, min_samples_split=2,
  6509. min_weight_fraction_leaf=0.0, presort='deprecated',
  6510. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  6511. 2022-01-17 16:47:25,336:INFO:Checking exceptions
  6512. 2022-01-17 16:47:25,337:INFO:Preparing display monitor
  6513. 2022-01-17 16:47:25,341:INFO:Preloading libraries
  6514. 2022-01-17 16:47:25,342:INFO:Copying training dataset
  6515. 2022-01-17 16:47:25,343:INFO:Copying test dataset
  6516. 2022-01-17 16:47:25,343:INFO:Plot type: gain
  6517. 2022-01-17 16:47:25,344:INFO:Generating predictions / predict_proba on X_test
  6518. 2022-01-17 16:47:25,438:INFO:Visual Rendered Successfully
  6519. 2022-01-17 16:47:25,525:INFO:plot_model() succesfully completed......................................
  6520. 2022-01-17 16:47:27,740:INFO:Initializing plot_model()
  6521. 2022-01-17 16:47:27,740:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6522. max_depth=None, max_features=None, max_leaf_nodes=None,
  6523. min_impurity_decrease=0.0, min_impurity_split=None,
  6524. min_samples_leaf=1, min_samples_split=2,
  6525. min_weight_fraction_leaf=0.0, presort='deprecated',
  6526. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  6527. 2022-01-17 16:47:27,740:INFO:Checking exceptions
  6528. 2022-01-17 16:47:27,741:INFO:Preparing display monitor
  6529. 2022-01-17 16:47:27,745:INFO:Preloading libraries
  6530. 2022-01-17 16:47:27,746:INFO:Copying training dataset
  6531. 2022-01-17 16:47:27,747:INFO:Copying test dataset
  6532. 2022-01-17 16:47:27,747:INFO:Plot type: tree
  6533. 2022-01-17 16:47:27,756:INFO:Plotting decision trees
  6534. 2022-01-17 16:47:27,756:INFO:Plotting tree 0
  6535. 2022-01-17 16:48:17,096:INFO:Visual Rendered Successfully
  6536. 2022-01-17 16:48:17,209:INFO:plot_model() succesfully completed......................................
  6537. 2022-01-17 16:51:12,283:INFO:Initializing plot_model()
  6538. 2022-01-17 16:51:12,283:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6539. max_depth=None, max_features=None, max_leaf_nodes=None,
  6540. min_impurity_decrease=0.0, min_impurity_split=None,
  6541. min_samples_leaf=1, min_samples_split=2,
  6542. min_weight_fraction_leaf=0.0, presort='deprecated',
  6543. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
  6544. 2022-01-17 16:51:12,283:INFO:Checking exceptions
  6545. 2022-01-17 16:51:12,284:INFO:Preparing display monitor
  6546. 2022-01-17 16:51:12,288:INFO:Preloading libraries
  6547. 2022-01-17 16:51:12,289:INFO:Copying training dataset
  6548. 2022-01-17 16:51:12,290:INFO:Copying test dataset
  6549. 2022-01-17 16:51:12,290:INFO:Plot type: ks
  6550. 2022-01-17 16:51:12,291:INFO:Generating predictions / predict_proba on X_test
  6551. 2022-01-17 16:51:12,401:INFO:Visual Rendered Successfully
  6552. 2022-01-17 16:51:12,488:INFO:plot_model() succesfully completed......................................
  6553. 2022-01-17 16:51:17,944:INFO:Initializing plot_model()
  6554. 2022-01-17 16:51:17,944:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6555. max_depth=None, max_features=None, max_leaf_nodes=None,
  6556. min_impurity_decrease=0.0, min_impurity_split=None,
  6557. min_samples_leaf=1, min_samples_split=2,
  6558. min_weight_fraction_leaf=0.0, presort='deprecated',
  6559. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  6560. 2022-01-17 16:51:17,944:INFO:Checking exceptions
  6561. 2022-01-17 16:51:17,945:INFO:Preparing display monitor
  6562. 2022-01-17 16:51:17,949:INFO:Preloading libraries
  6563. 2022-01-17 16:51:17,950:INFO:Copying training dataset
  6564. 2022-01-17 16:51:17,951:INFO:Copying test dataset
  6565. 2022-01-17 16:51:17,952:INFO:Plot type: class_report
  6566. 2022-01-17 16:51:17,953:INFO:Initializing get_config()
  6567. 2022-01-17 16:51:17,953:INFO:get_config(variable=prep_pipe)
  6568. 2022-01-17 16:51:17,956:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  6569. steps=[('dtypes',
  6570. DataTypes_Auto_infer(categorical_features=[],
  6571. display_types=True, features_todrop=[],
  6572. id_columns=[],
  6573. ml_usecase='classification',
  6574. numerical_features=[], target='label',
  6575. time_features=[])),
  6576. ('imputer',
  6577. Simple_Imputer(categorical_strategy='not_available',
  6578. fill_value_categorical=None,
  6579. fill_value_numerical=None,
  6580. numeric_strate...
  6581. target='label')),
  6582. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  6583. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  6584. ('dummy', Dummify(target='label')),
  6585. ('fix_perfect', Remove_100(target='label')),
  6586. ('clean_names', Clean_Colum_Names()),
  6587. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  6588. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  6589. verbose=False)
  6590. 2022-01-17 16:51:17,956:INFO:get_config() succesfully completed......................................
  6591. 2022-01-17 16:51:17,956:INFO:Fitting Model
  6592. 2022-01-17 16:51:17,957:INFO:Scoring test/hold-out set
  6593. 2022-01-17 16:51:18,078:INFO:Visual Rendered Successfully
  6594. 2022-01-17 16:51:18,148:INFO:plot_model() succesfully completed......................................
  6595. 2022-01-17 16:51:20,295:INFO:Initializing plot_model()
  6596. 2022-01-17 16:51:20,296:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6597. max_depth=None, max_features=None, max_leaf_nodes=None,
  6598. min_impurity_decrease=0.0, min_impurity_split=None,
  6599. min_samples_leaf=1, min_samples_split=2,
  6600. min_weight_fraction_leaf=0.0, presort='deprecated',
  6601. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
  6602. 2022-01-17 16:51:20,296:INFO:Checking exceptions
  6603. 2022-01-17 16:51:20,297:INFO:Preparing display monitor
  6604. 2022-01-17 16:51:20,300:INFO:Preloading libraries
  6605. 2022-01-17 16:51:20,301:INFO:Copying training dataset
  6606. 2022-01-17 16:51:20,302:INFO:Copying test dataset
  6607. 2022-01-17 16:51:20,303:INFO:Plot type: rfe
  6608. 2022-01-17 16:51:20,305:INFO:Fitting Model
  6609. 2022-01-17 17:00:37,512:INFO:Visual Rendered Successfully
  6610. 2022-01-17 17:00:37,586:INFO:plot_model() succesfully completed......................................
  6611. 2022-01-18 14:14:57,081:INFO:Initializing create_model()
  6612. 2022-01-18 14:14:57,081:INFO:create_model(estimator=rt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6613. 2022-01-18 14:14:57,082:INFO:Checking exceptions
  6614. 2022-01-18 14:15:10,182:INFO:Initializing create_model()
  6615. 2022-01-18 14:15:10,183:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6616. 2022-01-18 14:15:10,183:INFO:Checking exceptions
  6617. 2022-01-18 14:15:10,183:INFO:Preparing display monitor
  6618. 2022-01-18 14:15:10,197:INFO:Importing libraries
  6619. 2022-01-18 14:15:10,197:INFO:Copying training dataset
  6620. 2022-01-18 14:15:10,199:INFO:Defining folds
  6621. 2022-01-18 14:15:10,199:INFO:Declaring metric variables
  6622. 2022-01-18 14:15:10,205:INFO:Importing untrained model
  6623. 2022-01-18 14:15:10,210:INFO:Random Forest Classifier Imported succesfully
  6624. 2022-01-18 14:15:10,220:INFO:Starting cross validation
  6625. 2022-01-18 14:15:10,221:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6626. 2022-01-18 14:15:17,630:INFO:Calculating mean and std
  6627. 2022-01-18 14:15:17,631:INFO:Creating metrics dataframe
  6628. 2022-01-18 14:15:17,639:INFO:Finalizing model
  6629. 2022-01-18 14:15:18,022:INFO:Uploading results into container
  6630. 2022-01-18 14:15:18,022:INFO:Uploading model into container now
  6631. 2022-01-18 14:15:18,033:INFO:create_model_container: 21
  6632. 2022-01-18 14:15:18,033:INFO:master_model_container: 21
  6633. 2022-01-18 14:15:18,033:INFO:display_container: 9
  6634. 2022-01-18 14:15:18,034:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  6635. criterion='gini', max_depth=None, max_features='auto',
  6636. max_leaf_nodes=None, max_samples=None,
  6637. min_impurity_decrease=0.0, min_impurity_split=None,
  6638. min_samples_leaf=1, min_samples_split=2,
  6639. min_weight_fraction_leaf=0.0, n_estimators=100,
  6640. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  6641. warm_start=False)
  6642. 2022-01-18 14:15:18,034:INFO:create_model() succesfully completed......................................
  6643. 2022-01-18 14:17:27,784:INFO:Initializing create_model()
  6644. 2022-01-18 14:17:27,785:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6645. 2022-01-18 14:17:27,785:INFO:Checking exceptions
  6646. 2022-01-18 14:18:02,077:INFO:Initializing create_model()
  6647. 2022-01-18 14:18:02,077:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6648. 2022-01-18 14:18:02,078:INFO:Checking exceptions
  6649. 2022-01-18 14:18:02,078:INFO:Preparing display monitor
  6650. 2022-01-18 14:18:02,089:INFO:Importing libraries
  6651. 2022-01-18 14:18:02,090:INFO:Copying training dataset
  6652. 2022-01-18 14:18:02,092:INFO:Defining folds
  6653. 2022-01-18 14:18:02,092:INFO:Declaring metric variables
  6654. 2022-01-18 14:18:02,096:INFO:Importing untrained model
  6655. 2022-01-18 14:18:02,101:INFO:Random Forest Classifier Imported succesfully
  6656. 2022-01-18 14:18:02,112:INFO:Starting cross validation
  6657. 2022-01-18 14:18:02,112:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6658. 2022-01-18 14:18:08,661:INFO:Calculating mean and std
  6659. 2022-01-18 14:18:08,662:INFO:Creating metrics dataframe
  6660. 2022-01-18 14:18:08,669:INFO:Finalizing model
  6661. 2022-01-18 14:18:09,045:INFO:Uploading results into container
  6662. 2022-01-18 14:18:09,045:INFO:Uploading model into container now
  6663. 2022-01-18 14:18:09,055:INFO:create_model_container: 22
  6664. 2022-01-18 14:18:09,055:INFO:master_model_container: 22
  6665. 2022-01-18 14:18:09,056:INFO:display_container: 10
  6666. 2022-01-18 14:18:09,056:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  6667. criterion='gini', max_depth=None, max_features='auto',
  6668. max_leaf_nodes=None, max_samples=None,
  6669. min_impurity_decrease=0.0, min_impurity_split=None,
  6670. min_samples_leaf=1, min_samples_split=2,
  6671. min_weight_fraction_leaf=0.0, n_estimators=100,
  6672. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  6673. warm_start=False)
  6674. 2022-01-18 14:18:09,056:INFO:create_model() succesfully completed......................................
  6675. 2022-01-18 14:21:49,983:INFO:Initializing tune_model()
  6676. 2022-01-18 14:21:49,983:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  6677. criterion='gini', max_depth=None, max_features='auto',
  6678. max_leaf_nodes=None, max_samples=None,
  6679. min_impurity_decrease=0.0, min_impurity_split=None,
  6680. min_samples_leaf=1, min_samples_split=2,
  6681. min_weight_fraction_leaf=0.0, n_estimators=100,
  6682. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  6683. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6684. 2022-01-18 14:21:49,984:INFO:Checking exceptions
  6685. 2022-01-18 14:21:49,985:INFO:Preparing display monitor
  6686. 2022-01-18 14:21:49,996:INFO:Copying training dataset
  6687. 2022-01-18 14:21:49,997:INFO:Checking base model
  6688. 2022-01-18 14:21:49,997:INFO:Base model : Random Forest Classifier
  6689. 2022-01-18 14:21:50,002:INFO:Declaring metric variables
  6690. 2022-01-18 14:21:50,007:INFO:Defining Hyperparameters
  6691. 2022-01-18 14:21:50,099:INFO:Tuning with n_jobs=-1
  6692. 2022-01-18 14:21:50,099:INFO:Initializing RandomizedSearchCV
  6693. 2022-01-18 14:22:05,924:INFO:best_params: {'actual_estimator__n_estimators': 30, 'actual_estimator__min_samples_split': 10, 'actual_estimator__min_samples_leaf': 3, 'actual_estimator__min_impurity_decrease': 0.002, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 10, 'actual_estimator__criterion': 'entropy', 'actual_estimator__class_weight': 'balanced_subsample', 'actual_estimator__bootstrap': True}
  6694. 2022-01-18 14:22:05,925:INFO:Hyperparameter search completed
  6695. 2022-01-18 14:22:05,925:INFO:SubProcess create_model() called ==================================
  6696. 2022-01-18 14:22:05,925:INFO:Initializing create_model()
  6697. 2022-01-18 14:22:05,926:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  6698. criterion='gini', max_depth=None, max_features='auto',
  6699. max_leaf_nodes=None, max_samples=None,
  6700. min_impurity_decrease=0.0, min_impurity_split=None,
  6701. min_samples_leaf=1, min_samples_split=2,
  6702. min_weight_fraction_leaf=0.0, n_estimators=100,
  6703. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  6704. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cbe370>, kwargs={'n_estimators': 30, 'min_samples_split': 10, 'min_samples_leaf': 3, 'min_impurity_decrease': 0.002, 'max_features': 'sqrt', 'max_depth': 10, 'criterion': 'entropy', 'class_weight': 'balanced_subsample', 'bootstrap': True})
  6705. 2022-01-18 14:22:05,926:INFO:Checking exceptions
  6706. 2022-01-18 14:22:05,926:INFO:Importing libraries
  6707. 2022-01-18 14:22:05,926:INFO:Copying training dataset
  6708. 2022-01-18 14:22:05,927:INFO:Defining folds
  6709. 2022-01-18 14:22:05,927:INFO:Declaring metric variables
  6710. 2022-01-18 14:22:05,933:INFO:Importing untrained model
  6711. 2022-01-18 14:22:05,933:INFO:Declaring custom model
  6712. 2022-01-18 14:22:05,938:INFO:Random Forest Classifier Imported succesfully
  6713. 2022-01-18 14:22:05,948:INFO:Starting cross validation
  6714. 2022-01-18 14:22:05,949:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6715. 2022-01-18 14:22:08,767:INFO:Calculating mean and std
  6716. 2022-01-18 14:22:08,768:INFO:Creating metrics dataframe
  6717. 2022-01-18 14:22:08,776:INFO:Finalizing model
  6718. 2022-01-18 14:22:08,998:INFO:Uploading results into container
  6719. 2022-01-18 14:22:08,999:INFO:Uploading model into container now
  6720. 2022-01-18 14:22:08,999:INFO:create_model_container: 23
  6721. 2022-01-18 14:22:08,999:INFO:master_model_container: 23
  6722. 2022-01-18 14:22:08,999:INFO:display_container: 11
  6723. 2022-01-18 14:22:09,000:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
  6724. class_weight='balanced_subsample', criterion='entropy',
  6725. max_depth=10, max_features='sqrt', max_leaf_nodes=None,
  6726. max_samples=None, min_impurity_decrease=0.002,
  6727. min_impurity_split=None, min_samples_leaf=3,
  6728. min_samples_split=10, min_weight_fraction_leaf=0.0,
  6729. n_estimators=30, n_jobs=-1, oob_score=False,
  6730. random_state=424, verbose=0, warm_start=False)
  6731. 2022-01-18 14:22:09,000:INFO:create_model() succesfully completed......................................
  6732. 2022-01-18 14:22:09,072:INFO:SubProcess create_model() end ==================================
  6733. 2022-01-18 14:22:09,082:INFO:create_model_container: 23
  6734. 2022-01-18 14:22:09,082:INFO:master_model_container: 23
  6735. 2022-01-18 14:22:09,082:INFO:display_container: 11
  6736. 2022-01-18 14:22:09,083:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
  6737. class_weight='balanced_subsample', criterion='entropy',
  6738. max_depth=10, max_features='sqrt', max_leaf_nodes=None,
  6739. max_samples=None, min_impurity_decrease=0.002,
  6740. min_impurity_split=None, min_samples_leaf=3,
  6741. min_samples_split=10, min_weight_fraction_leaf=0.0,
  6742. n_estimators=30, n_jobs=-1, oob_score=False,
  6743. random_state=424, verbose=0, warm_start=False)
  6744. 2022-01-18 14:22:09,083:INFO:tune_model() succesfully completed......................................
  6745. 2022-01-18 14:22:41,168:INFO:Initializing create_model()
  6746. 2022-01-18 14:22:41,169:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6747. 2022-01-18 14:22:41,169:INFO:Checking exceptions
  6748. 2022-01-18 14:22:41,169:INFO:Preparing display monitor
  6749. 2022-01-18 14:22:41,180:INFO:Importing libraries
  6750. 2022-01-18 14:22:41,180:INFO:Copying training dataset
  6751. 2022-01-18 14:22:41,182:INFO:Defining folds
  6752. 2022-01-18 14:22:41,182:INFO:Declaring metric variables
  6753. 2022-01-18 14:22:41,187:INFO:Importing untrained model
  6754. 2022-01-18 14:22:41,192:INFO:Decision Tree Classifier Imported succesfully
  6755. 2022-01-18 14:22:41,203:INFO:Starting cross validation
  6756. 2022-01-18 14:22:41,204:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6757. 2022-01-18 14:22:42,162:INFO:Calculating mean and std
  6758. 2022-01-18 14:22:42,163:INFO:Creating metrics dataframe
  6759. 2022-01-18 14:22:42,170:INFO:Finalizing model
  6760. 2022-01-18 14:22:42,263:INFO:Uploading results into container
  6761. 2022-01-18 14:22:42,264:INFO:Uploading model into container now
  6762. 2022-01-18 14:22:42,273:INFO:create_model_container: 24
  6763. 2022-01-18 14:22:42,273:INFO:master_model_container: 24
  6764. 2022-01-18 14:22:42,273:INFO:display_container: 12
  6765. 2022-01-18 14:22:42,274:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6766. max_depth=None, max_features=None, max_leaf_nodes=None,
  6767. min_impurity_decrease=0.0, min_impurity_split=None,
  6768. min_samples_leaf=1, min_samples_split=2,
  6769. min_weight_fraction_leaf=0.0, presort='deprecated',
  6770. random_state=424, splitter='best')
  6771. 2022-01-18 14:22:42,274:INFO:create_model() succesfully completed......................................
  6772. 2022-01-18 14:22:45,644:INFO:Initializing tune_model()
  6773. 2022-01-18 14:22:45,645:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6774. max_depth=None, max_features=None, max_leaf_nodes=None,
  6775. min_impurity_decrease=0.0, min_impurity_split=None,
  6776. min_samples_leaf=1, min_samples_split=2,
  6777. min_weight_fraction_leaf=0.0, presort='deprecated',
  6778. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6779. 2022-01-18 14:22:45,645:INFO:Checking exceptions
  6780. 2022-01-18 14:22:45,646:INFO:Preparing display monitor
  6781. 2022-01-18 14:22:45,657:INFO:Copying training dataset
  6782. 2022-01-18 14:22:45,658:INFO:Checking base model
  6783. 2022-01-18 14:22:45,658:INFO:Base model : Decision Tree Classifier
  6784. 2022-01-18 14:22:45,663:INFO:Declaring metric variables
  6785. 2022-01-18 14:22:45,668:INFO:Defining Hyperparameters
  6786. 2022-01-18 14:22:45,746:INFO:Tuning with n_jobs=-1
  6787. 2022-01-18 14:22:45,746:INFO:Initializing RandomizedSearchCV
  6788. 2022-01-18 14:22:46,171:INFO:best_params: {'actual_estimator__min_samples_split': 9, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.01, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 4, 'actual_estimator__criterion': 'entropy'}
  6789. 2022-01-18 14:22:46,171:INFO:Hyperparameter search completed
  6790. 2022-01-18 14:22:46,172:INFO:SubProcess create_model() called ==================================
  6791. 2022-01-18 14:22:46,172:INFO:Initializing create_model()
  6792. 2022-01-18 14:22:46,172:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6793. max_depth=None, max_features=None, max_leaf_nodes=None,
  6794. min_impurity_decrease=0.0, min_impurity_split=None,
  6795. min_samples_leaf=1, min_samples_split=2,
  6796. min_weight_fraction_leaf=0.0, presort='deprecated',
  6797. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582d0a130>, kwargs={'min_samples_split': 9, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.01, 'max_features': 1.0, 'max_depth': 4, 'criterion': 'entropy'})
  6798. 2022-01-18 14:22:46,173:INFO:Checking exceptions
  6799. 2022-01-18 14:22:46,173:INFO:Importing libraries
  6800. 2022-01-18 14:22:46,173:INFO:Copying training dataset
  6801. 2022-01-18 14:22:46,174:INFO:Defining folds
  6802. 2022-01-18 14:22:46,174:INFO:Declaring metric variables
  6803. 2022-01-18 14:22:46,180:INFO:Importing untrained model
  6804. 2022-01-18 14:22:46,180:INFO:Declaring custom model
  6805. 2022-01-18 14:22:46,186:INFO:Decision Tree Classifier Imported succesfully
  6806. 2022-01-18 14:22:46,196:INFO:Starting cross validation
  6807. 2022-01-18 14:22:46,196:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6808. 2022-01-18 14:22:46,517:INFO:Calculating mean and std
  6809. 2022-01-18 14:22:46,518:INFO:Creating metrics dataframe
  6810. 2022-01-18 14:22:46,525:INFO:Finalizing model
  6811. 2022-01-18 14:22:46,548:INFO:Uploading results into container
  6812. 2022-01-18 14:22:46,549:INFO:Uploading model into container now
  6813. 2022-01-18 14:22:46,549:INFO:create_model_container: 25
  6814. 2022-01-18 14:22:46,549:INFO:master_model_container: 25
  6815. 2022-01-18 14:22:46,549:INFO:display_container: 13
  6816. 2022-01-18 14:22:46,550:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6817. max_depth=4, max_features=1.0, max_leaf_nodes=None,
  6818. min_impurity_decrease=0.01, min_impurity_split=None,
  6819. min_samples_leaf=4, min_samples_split=9,
  6820. min_weight_fraction_leaf=0.0, presort='deprecated',
  6821. random_state=424, splitter='best')
  6822. 2022-01-18 14:22:46,550:INFO:create_model() succesfully completed......................................
  6823. 2022-01-18 14:22:46,631:INFO:SubProcess create_model() end ==================================
  6824. 2022-01-18 14:22:46,640:INFO:create_model_container: 25
  6825. 2022-01-18 14:22:46,640:INFO:master_model_container: 25
  6826. 2022-01-18 14:22:46,641:INFO:display_container: 13
  6827. 2022-01-18 14:22:46,641:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6828. max_depth=4, max_features=1.0, max_leaf_nodes=None,
  6829. min_impurity_decrease=0.01, min_impurity_split=None,
  6830. min_samples_leaf=4, min_samples_split=9,
  6831. min_weight_fraction_leaf=0.0, presort='deprecated',
  6832. random_state=424, splitter='best')
  6833. 2022-01-18 14:22:46,641:INFO:tune_model() succesfully completed......................................
  6834. 2022-01-18 14:23:00,551:INFO:Initializing tune_model()
  6835. 2022-01-18 14:23:00,552:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6836. max_depth=None, max_features=None, max_leaf_nodes=None,
  6837. min_impurity_decrease=0.0, min_impurity_split=None,
  6838. min_samples_leaf=1, min_samples_split=2,
  6839. min_weight_fraction_leaf=0.0, presort='deprecated',
  6840. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=prec, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6841. 2022-01-18 14:23:00,552:INFO:Checking exceptions
  6842. 2022-01-18 14:23:04,002:INFO:Initializing tune_model()
  6843. 2022-01-18 14:23:04,002:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6844. max_depth=None, max_features=None, max_leaf_nodes=None,
  6845. min_impurity_decrease=0.0, min_impurity_split=None,
  6846. min_samples_leaf=1, min_samples_split=2,
  6847. min_weight_fraction_leaf=0.0, presort='deprecated',
  6848. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=prec., custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6849. 2022-01-18 14:23:04,002:INFO:Checking exceptions
  6850. 2022-01-18 14:23:08,098:INFO:Initializing tune_model()
  6851. 2022-01-18 14:23:08,098:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6852. max_depth=None, max_features=None, max_leaf_nodes=None,
  6853. min_impurity_decrease=0.0, min_impurity_split=None,
  6854. min_samples_leaf=1, min_samples_split=2,
  6855. min_weight_fraction_leaf=0.0, presort='deprecated',
  6856. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Prec., custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6857. 2022-01-18 14:23:08,099:INFO:Checking exceptions
  6858. 2022-01-18 14:23:08,100:INFO:Preparing display monitor
  6859. 2022-01-18 14:23:08,112:INFO:Copying training dataset
  6860. 2022-01-18 14:23:08,113:INFO:Checking base model
  6861. 2022-01-18 14:23:08,113:INFO:Base model : Decision Tree Classifier
  6862. 2022-01-18 14:23:08,119:INFO:Declaring metric variables
  6863. 2022-01-18 14:23:08,124:INFO:Defining Hyperparameters
  6864. 2022-01-18 14:23:08,207:INFO:Tuning with n_jobs=-1
  6865. 2022-01-18 14:23:08,207:INFO:Initializing RandomizedSearchCV
  6866. 2022-01-18 14:23:08,636:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 2, 'actual_estimator__min_impurity_decrease': 0, 'actual_estimator__max_features': 'log2', 'actual_estimator__max_depth': 14, 'actual_estimator__criterion': 'entropy'}
  6867. 2022-01-18 14:23:08,636:INFO:Hyperparameter search completed
  6868. 2022-01-18 14:23:08,636:INFO:SubProcess create_model() called ==================================
  6869. 2022-01-18 14:23:08,637:INFO:Initializing create_model()
  6870. 2022-01-18 14:23:08,637:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6871. max_depth=None, max_features=None, max_leaf_nodes=None,
  6872. min_impurity_decrease=0.0, min_impurity_split=None,
  6873. min_samples_leaf=1, min_samples_split=2,
  6874. min_weight_fraction_leaf=0.0, presort='deprecated',
  6875. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858441ccd0>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 2, 'min_impurity_decrease': 0, 'max_features': 'log2', 'max_depth': 14, 'criterion': 'entropy'})
  6876. 2022-01-18 14:23:08,637:INFO:Checking exceptions
  6877. 2022-01-18 14:23:08,637:INFO:Importing libraries
  6878. 2022-01-18 14:23:08,637:INFO:Copying training dataset
  6879. 2022-01-18 14:23:08,639:INFO:Defining folds
  6880. 2022-01-18 14:23:08,639:INFO:Declaring metric variables
  6881. 2022-01-18 14:23:08,644:INFO:Importing untrained model
  6882. 2022-01-18 14:23:08,644:INFO:Declaring custom model
  6883. 2022-01-18 14:23:08,649:INFO:Decision Tree Classifier Imported succesfully
  6884. 2022-01-18 14:23:08,658:INFO:Starting cross validation
  6885. 2022-01-18 14:23:08,659:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6886. 2022-01-18 14:23:08,921:INFO:Calculating mean and std
  6887. 2022-01-18 14:23:08,921:INFO:Creating metrics dataframe
  6888. 2022-01-18 14:23:08,928:INFO:Finalizing model
  6889. 2022-01-18 14:23:08,944:INFO:Uploading results into container
  6890. 2022-01-18 14:23:08,944:INFO:Uploading model into container now
  6891. 2022-01-18 14:23:08,944:INFO:create_model_container: 26
  6892. 2022-01-18 14:23:08,944:INFO:master_model_container: 26
  6893. 2022-01-18 14:23:08,944:INFO:display_container: 14
  6894. 2022-01-18 14:23:08,945:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6895. max_depth=14, max_features='log2', max_leaf_nodes=None,
  6896. min_impurity_decrease=0, min_impurity_split=None,
  6897. min_samples_leaf=2, min_samples_split=5,
  6898. min_weight_fraction_leaf=0.0, presort='deprecated',
  6899. random_state=424, splitter='best')
  6900. 2022-01-18 14:23:08,945:INFO:create_model() succesfully completed......................................
  6901. 2022-01-18 14:23:09,029:INFO:SubProcess create_model() end ==================================
  6902. 2022-01-18 14:23:09,039:INFO:create_model_container: 26
  6903. 2022-01-18 14:23:09,039:INFO:master_model_container: 26
  6904. 2022-01-18 14:23:09,039:INFO:display_container: 14
  6905. 2022-01-18 14:23:09,040:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6906. max_depth=14, max_features='log2', max_leaf_nodes=None,
  6907. min_impurity_decrease=0, min_impurity_split=None,
  6908. min_samples_leaf=2, min_samples_split=5,
  6909. min_weight_fraction_leaf=0.0, presort='deprecated',
  6910. random_state=424, splitter='best')
  6911. 2022-01-18 14:23:09,040:INFO:tune_model() succesfully completed......................................
  6912. 2022-01-18 14:23:19,531:INFO:Initializing tune_model()
  6913. 2022-01-18 14:23:19,531:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6914. max_depth=None, max_features=None, max_leaf_nodes=None,
  6915. min_impurity_decrease=0.0, min_impurity_split=None,
  6916. min_samples_leaf=1, min_samples_split=2,
  6917. min_weight_fraction_leaf=0.0, presort='deprecated',
  6918. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=AUC, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6919. 2022-01-18 14:23:19,532:INFO:Checking exceptions
  6920. 2022-01-18 14:23:19,532:INFO:Preparing display monitor
  6921. 2022-01-18 14:23:19,544:INFO:Copying training dataset
  6922. 2022-01-18 14:23:19,545:INFO:Checking base model
  6923. 2022-01-18 14:23:19,545:INFO:Base model : Decision Tree Classifier
  6924. 2022-01-18 14:23:19,551:INFO:Declaring metric variables
  6925. 2022-01-18 14:23:19,557:INFO:Defining Hyperparameters
  6926. 2022-01-18 14:23:19,640:INFO:Tuning with n_jobs=-1
  6927. 2022-01-18 14:23:19,641:INFO:Initializing RandomizedSearchCV
  6928. 2022-01-18 14:23:20,078:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.0001, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 13, 'actual_estimator__criterion': 'entropy'}
  6929. 2022-01-18 14:23:20,079:INFO:Hyperparameter search completed
  6930. 2022-01-18 14:23:20,079:INFO:SubProcess create_model() called ==================================
  6931. 2022-01-18 14:23:20,079:INFO:Initializing create_model()
  6932. 2022-01-18 14:23:20,080:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6933. max_depth=None, max_features=None, max_leaf_nodes=None,
  6934. min_impurity_decrease=0.0, min_impurity_split=None,
  6935. min_samples_leaf=1, min_samples_split=2,
  6936. min_weight_fraction_leaf=0.0, presort='deprecated',
  6937. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cbe370>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.0001, 'max_features': 'sqrt', 'max_depth': 13, 'criterion': 'entropy'})
  6938. 2022-01-18 14:23:20,080:INFO:Checking exceptions
  6939. 2022-01-18 14:23:20,080:INFO:Importing libraries
  6940. 2022-01-18 14:23:20,080:INFO:Copying training dataset
  6941. 2022-01-18 14:23:20,081:INFO:Defining folds
  6942. 2022-01-18 14:23:20,081:INFO:Declaring metric variables
  6943. 2022-01-18 14:23:20,087:INFO:Importing untrained model
  6944. 2022-01-18 14:23:20,087:INFO:Declaring custom model
  6945. 2022-01-18 14:23:20,092:INFO:Decision Tree Classifier Imported succesfully
  6946. 2022-01-18 14:23:20,102:INFO:Starting cross validation
  6947. 2022-01-18 14:23:20,103:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6948. 2022-01-18 14:23:20,376:INFO:Calculating mean and std
  6949. 2022-01-18 14:23:20,377:INFO:Creating metrics dataframe
  6950. 2022-01-18 14:23:20,384:INFO:Finalizing model
  6951. 2022-01-18 14:23:20,400:INFO:Uploading results into container
  6952. 2022-01-18 14:23:20,400:INFO:Uploading model into container now
  6953. 2022-01-18 14:23:20,400:INFO:create_model_container: 27
  6954. 2022-01-18 14:23:20,401:INFO:master_model_container: 27
  6955. 2022-01-18 14:23:20,401:INFO:display_container: 15
  6956. 2022-01-18 14:23:20,401:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6957. max_depth=13, max_features='sqrt', max_leaf_nodes=None,
  6958. min_impurity_decrease=0.0001, min_impurity_split=None,
  6959. min_samples_leaf=5, min_samples_split=5,
  6960. min_weight_fraction_leaf=0.0, presort='deprecated',
  6961. random_state=424, splitter='best')
  6962. 2022-01-18 14:23:20,401:INFO:create_model() succesfully completed......................................
  6963. 2022-01-18 14:23:20,478:INFO:SubProcess create_model() end ==================================
  6964. 2022-01-18 14:23:20,487:INFO:create_model_container: 27
  6965. 2022-01-18 14:23:20,488:INFO:master_model_container: 27
  6966. 2022-01-18 14:23:20,488:INFO:display_container: 15
  6967. 2022-01-18 14:23:20,488:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6968. max_depth=13, max_features='sqrt', max_leaf_nodes=None,
  6969. min_impurity_decrease=0.0001, min_impurity_split=None,
  6970. min_samples_leaf=5, min_samples_split=5,
  6971. min_weight_fraction_leaf=0.0, presort='deprecated',
  6972. random_state=424, splitter='best')
  6973. 2022-01-18 14:23:20,488:INFO:tune_model() succesfully completed......................................
  6974. 2022-01-18 14:23:32,000:INFO:Initializing tune_model()
  6975. 2022-01-18 14:23:32,001:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6976. max_depth=None, max_features=None, max_leaf_nodes=None,
  6977. min_impurity_decrease=0.0, min_impurity_split=None,
  6978. min_samples_leaf=1, min_samples_split=2,
  6979. min_weight_fraction_leaf=0.0, presort='deprecated',
  6980. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6981. 2022-01-18 14:23:32,001:INFO:Checking exceptions
  6982. 2022-01-18 14:23:32,002:INFO:Preparing display monitor
  6983. 2022-01-18 14:23:32,014:INFO:Copying training dataset
  6984. 2022-01-18 14:23:32,015:INFO:Checking base model
  6985. 2022-01-18 14:23:32,015:INFO:Base model : Decision Tree Classifier
  6986. 2022-01-18 14:23:32,021:INFO:Declaring metric variables
  6987. 2022-01-18 14:23:32,026:INFO:Defining Hyperparameters
  6988. 2022-01-18 14:23:32,109:INFO:Tuning with n_jobs=-1
  6989. 2022-01-18 14:23:32,109:INFO:Initializing RandomizedSearchCV
  6990. 2022-01-18 14:23:32,532:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 2, 'actual_estimator__min_impurity_decrease': 0, 'actual_estimator__max_features': 'log2', 'actual_estimator__max_depth': 14, 'actual_estimator__criterion': 'entropy'}
  6991. 2022-01-18 14:23:32,533:INFO:Hyperparameter search completed
  6992. 2022-01-18 14:23:32,533:INFO:SubProcess create_model() called ==================================
  6993. 2022-01-18 14:23:32,534:INFO:Initializing create_model()
  6994. 2022-01-18 14:23:32,534:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6995. max_depth=None, max_features=None, max_leaf_nodes=None,
  6996. min_impurity_decrease=0.0, min_impurity_split=None,
  6997. min_samples_leaf=1, min_samples_split=2,
  6998. min_weight_fraction_leaf=0.0, presort='deprecated',
  6999. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8583cc6a90>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 2, 'min_impurity_decrease': 0, 'max_features': 'log2', 'max_depth': 14, 'criterion': 'entropy'})
  7000. 2022-01-18 14:23:32,534:INFO:Checking exceptions
  7001. 2022-01-18 14:23:32,534:INFO:Importing libraries
  7002. 2022-01-18 14:23:32,534:INFO:Copying training dataset
  7003. 2022-01-18 14:23:32,536:INFO:Defining folds
  7004. 2022-01-18 14:23:32,536:INFO:Declaring metric variables
  7005. 2022-01-18 14:23:32,541:INFO:Importing untrained model
  7006. 2022-01-18 14:23:32,541:INFO:Declaring custom model
  7007. 2022-01-18 14:23:32,546:INFO:Decision Tree Classifier Imported succesfully
  7008. 2022-01-18 14:23:32,557:INFO:Starting cross validation
  7009. 2022-01-18 14:23:32,558:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7010. 2022-01-18 14:23:32,827:INFO:Calculating mean and std
  7011. 2022-01-18 14:23:32,828:INFO:Creating metrics dataframe
  7012. 2022-01-18 14:23:32,835:INFO:Finalizing model
  7013. 2022-01-18 14:23:32,851:INFO:Uploading results into container
  7014. 2022-01-18 14:23:32,851:INFO:Uploading model into container now
  7015. 2022-01-18 14:23:32,851:INFO:create_model_container: 28
  7016. 2022-01-18 14:23:32,851:INFO:master_model_container: 28
  7017. 2022-01-18 14:23:32,851:INFO:display_container: 16
  7018. 2022-01-18 14:23:32,852:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7019. max_depth=14, max_features='log2', max_leaf_nodes=None,
  7020. min_impurity_decrease=0, min_impurity_split=None,
  7021. min_samples_leaf=2, min_samples_split=5,
  7022. min_weight_fraction_leaf=0.0, presort='deprecated',
  7023. random_state=424, splitter='best')
  7024. 2022-01-18 14:23:32,852:INFO:create_model() succesfully completed......................................
  7025. 2022-01-18 14:23:32,936:INFO:SubProcess create_model() end ==================================
  7026. 2022-01-18 14:23:32,946:INFO:create_model_container: 28
  7027. 2022-01-18 14:23:32,946:INFO:master_model_container: 28
  7028. 2022-01-18 14:23:32,946:INFO:display_container: 16
  7029. 2022-01-18 14:23:32,946:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7030. max_depth=14, max_features='log2', max_leaf_nodes=None,
  7031. min_impurity_decrease=0, min_impurity_split=None,
  7032. min_samples_leaf=2, min_samples_split=5,
  7033. min_weight_fraction_leaf=0.0, presort='deprecated',
  7034. random_state=424, splitter='best')
  7035. 2022-01-18 14:23:32,947:INFO:tune_model() succesfully completed......................................
  7036. 2022-01-18 14:23:38,968:INFO:Initializing tune_model()
  7037. 2022-01-18 14:23:38,968:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7038. max_depth=None, max_features=None, max_leaf_nodes=None,
  7039. min_impurity_decrease=0.0, min_impurity_split=None,
  7040. min_samples_leaf=1, min_samples_split=2,
  7041. min_weight_fraction_leaf=0.0, presort='deprecated',
  7042. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=MCC, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  7043. 2022-01-18 14:23:38,969:INFO:Checking exceptions
  7044. 2022-01-18 14:23:38,970:INFO:Preparing display monitor
  7045. 2022-01-18 14:23:38,980:INFO:Copying training dataset
  7046. 2022-01-18 14:23:38,982:INFO:Checking base model
  7047. 2022-01-18 14:23:38,982:INFO:Base model : Decision Tree Classifier
  7048. 2022-01-18 14:23:38,988:INFO:Declaring metric variables
  7049. 2022-01-18 14:23:38,992:INFO:Defining Hyperparameters
  7050. 2022-01-18 14:23:39,072:INFO:Tuning with n_jobs=-1
  7051. 2022-01-18 14:23:39,072:INFO:Initializing RandomizedSearchCV
  7052. 2022-01-18 14:23:39,510:INFO:best_params: {'actual_estimator__min_samples_split': 9, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.01, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 4, 'actual_estimator__criterion': 'entropy'}
  7053. 2022-01-18 14:23:39,511:INFO:Hyperparameter search completed
  7054. 2022-01-18 14:23:39,511:INFO:SubProcess create_model() called ==================================
  7055. 2022-01-18 14:23:39,512:INFO:Initializing create_model()
  7056. 2022-01-18 14:23:39,512:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7057. max_depth=None, max_features=None, max_leaf_nodes=None,
  7058. min_impurity_decrease=0.0, min_impurity_split=None,
  7059. min_samples_leaf=1, min_samples_split=2,
  7060. min_weight_fraction_leaf=0.0, presort='deprecated',
  7061. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582febbb0>, kwargs={'min_samples_split': 9, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.01, 'max_features': 1.0, 'max_depth': 4, 'criterion': 'entropy'})
  7062. 2022-01-18 14:23:39,512:INFO:Checking exceptions
  7063. 2022-01-18 14:23:39,512:INFO:Importing libraries
  7064. 2022-01-18 14:23:39,512:INFO:Copying training dataset
  7065. 2022-01-18 14:23:39,513:INFO:Defining folds
  7066. 2022-01-18 14:23:39,514:INFO:Declaring metric variables
  7067. 2022-01-18 14:23:39,519:INFO:Importing untrained model
  7068. 2022-01-18 14:23:39,519:INFO:Declaring custom model
  7069. 2022-01-18 14:23:39,525:INFO:Decision Tree Classifier Imported succesfully
  7070. 2022-01-18 14:23:39,535:INFO:Starting cross validation
  7071. 2022-01-18 14:23:39,535:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7072. 2022-01-18 14:23:39,858:INFO:Calculating mean and std
  7073. 2022-01-18 14:23:39,858:INFO:Creating metrics dataframe
  7074. 2022-01-18 14:23:39,865:INFO:Finalizing model
  7075. 2022-01-18 14:23:39,889:INFO:Uploading results into container
  7076. 2022-01-18 14:23:39,890:INFO:Uploading model into container now
  7077. 2022-01-18 14:23:39,890:INFO:create_model_container: 29
  7078. 2022-01-18 14:23:39,890:INFO:master_model_container: 29
  7079. 2022-01-18 14:23:39,890:INFO:display_container: 17
  7080. 2022-01-18 14:23:39,890:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7081. max_depth=4, max_features=1.0, max_leaf_nodes=None,
  7082. min_impurity_decrease=0.01, min_impurity_split=None,
  7083. min_samples_leaf=4, min_samples_split=9,
  7084. min_weight_fraction_leaf=0.0, presort='deprecated',
  7085. random_state=424, splitter='best')
  7086. 2022-01-18 14:23:39,891:INFO:create_model() succesfully completed......................................
  7087. 2022-01-18 14:23:39,976:INFO:SubProcess create_model() end ==================================
  7088. 2022-01-18 14:23:39,987:INFO:create_model_container: 29
  7089. 2022-01-18 14:23:39,987:INFO:master_model_container: 29
  7090. 2022-01-18 14:23:39,987:INFO:display_container: 17
  7091. 2022-01-18 14:23:39,988:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7092. max_depth=4, max_features=1.0, max_leaf_nodes=None,
  7093. min_impurity_decrease=0.01, min_impurity_split=None,
  7094. min_samples_leaf=4, min_samples_split=9,
  7095. min_weight_fraction_leaf=0.0, presort='deprecated',
  7096. random_state=424, splitter='best')
  7097. 2022-01-18 14:23:39,988:INFO:tune_model() succesfully completed......................................
  7098. 2022-01-18 14:23:46,047:INFO:Initializing tune_model()
  7099. 2022-01-18 14:23:46,047:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7100. max_depth=None, max_features=None, max_leaf_nodes=None,
  7101. min_impurity_decrease=0.0, min_impurity_split=None,
  7102. min_samples_leaf=1, min_samples_split=2,
  7103. min_weight_fraction_leaf=0.0, presort='deprecated',
  7104. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Kappa, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  7105. 2022-01-18 14:23:46,048:INFO:Checking exceptions
  7106. 2022-01-18 14:23:46,049:INFO:Preparing display monitor
  7107. 2022-01-18 14:23:46,059:INFO:Copying training dataset
  7108. 2022-01-18 14:23:46,060:INFO:Checking base model
  7109. 2022-01-18 14:23:46,060:INFO:Base model : Decision Tree Classifier
  7110. 2022-01-18 14:23:46,066:INFO:Declaring metric variables
  7111. 2022-01-18 14:23:46,070:INFO:Defining Hyperparameters
  7112. 2022-01-18 14:23:46,150:INFO:Tuning with n_jobs=-1
  7113. 2022-01-18 14:23:46,150:INFO:Initializing RandomizedSearchCV
  7114. 2022-01-18 14:23:46,582:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.0001, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 13, 'actual_estimator__criterion': 'entropy'}
  7115. 2022-01-18 14:23:46,583:INFO:Hyperparameter search completed
  7116. 2022-01-18 14:23:46,584:INFO:SubProcess create_model() called ==================================
  7117. 2022-01-18 14:23:46,584:INFO:Initializing create_model()
  7118. 2022-01-18 14:23:46,584:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7119. max_depth=None, max_features=None, max_leaf_nodes=None,
  7120. min_impurity_decrease=0.0, min_impurity_split=None,
  7121. min_samples_leaf=1, min_samples_split=2,
  7122. min_weight_fraction_leaf=0.0, presort='deprecated',
  7123. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582febbb0>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.0001, 'max_features': 'sqrt', 'max_depth': 13, 'criterion': 'entropy'})
  7124. 2022-01-18 14:23:46,584:INFO:Checking exceptions
  7125. 2022-01-18 14:23:46,585:INFO:Importing libraries
  7126. 2022-01-18 14:23:46,585:INFO:Copying training dataset
  7127. 2022-01-18 14:23:46,586:INFO:Defining folds
  7128. 2022-01-18 14:23:46,586:INFO:Declaring metric variables
  7129. 2022-01-18 14:23:46,592:INFO:Importing untrained model
  7130. 2022-01-18 14:23:46,592:INFO:Declaring custom model
  7131. 2022-01-18 14:23:46,597:INFO:Decision Tree Classifier Imported succesfully
  7132. 2022-01-18 14:23:46,607:INFO:Starting cross validation
  7133. 2022-01-18 14:23:46,608:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7134. 2022-01-18 14:23:46,871:INFO:Calculating mean and std
  7135. 2022-01-18 14:23:46,872:INFO:Creating metrics dataframe
  7136. 2022-01-18 14:23:46,879:INFO:Finalizing model
  7137. 2022-01-18 14:23:46,894:INFO:Uploading results into container
  7138. 2022-01-18 14:23:46,894:INFO:Uploading model into container now
  7139. 2022-01-18 14:23:46,894:INFO:create_model_container: 30
  7140. 2022-01-18 14:23:46,894:INFO:master_model_container: 30
  7141. 2022-01-18 14:23:46,895:INFO:display_container: 18
  7142. 2022-01-18 14:23:46,895:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7143. max_depth=13, max_features='sqrt', max_leaf_nodes=None,
  7144. min_impurity_decrease=0.0001, min_impurity_split=None,
  7145. min_samples_leaf=5, min_samples_split=5,
  7146. min_weight_fraction_leaf=0.0, presort='deprecated',
  7147. random_state=424, splitter='best')
  7148. 2022-01-18 14:23:46,895:INFO:create_model() succesfully completed......................................
  7149. 2022-01-18 14:23:46,985:INFO:SubProcess create_model() end ==================================
  7150. 2022-01-18 14:23:46,995:INFO:create_model_container: 30
  7151. 2022-01-18 14:23:46,995:INFO:master_model_container: 30
  7152. 2022-01-18 14:23:46,996:INFO:display_container: 18
  7153. 2022-01-18 14:23:46,996:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7154. max_depth=13, max_features='sqrt', max_leaf_nodes=None,
  7155. min_impurity_decrease=0.0001, min_impurity_split=None,
  7156. min_samples_leaf=5, min_samples_split=5,
  7157. min_weight_fraction_leaf=0.0, presort='deprecated',
  7158. random_state=424, splitter='best')
  7159. 2022-01-18 14:23:46,996:INFO:tune_model() succesfully completed......................................
  7160. 2022-01-18 14:23:53,610:INFO:Initializing create_model()
  7161. 2022-01-18 14:23:53,610:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  7162. 2022-01-18 14:23:53,610:INFO:Checking exceptions
  7163. 2022-01-18 14:23:53,611:INFO:Preparing display monitor
  7164. 2022-01-18 14:23:53,621:INFO:Importing libraries
  7165. 2022-01-18 14:23:53,622:INFO:Copying training dataset
  7166. 2022-01-18 14:23:53,623:INFO:Defining folds
  7167. 2022-01-18 14:23:53,623:INFO:Declaring metric variables
  7168. 2022-01-18 14:23:53,628:INFO:Importing untrained model
  7169. 2022-01-18 14:23:53,632:INFO:Decision Tree Classifier Imported succesfully
  7170. 2022-01-18 14:23:53,643:INFO:Starting cross validation
  7171. 2022-01-18 14:23:53,643:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7172. 2022-01-18 14:23:54,577:INFO:Calculating mean and std
  7173. 2022-01-18 14:23:54,578:INFO:Creating metrics dataframe
  7174. 2022-01-18 14:23:54,585:INFO:Finalizing model
  7175. 2022-01-18 14:23:54,678:INFO:Uploading results into container
  7176. 2022-01-18 14:23:54,678:INFO:Uploading model into container now
  7177. 2022-01-18 14:23:54,688:INFO:create_model_container: 31
  7178. 2022-01-18 14:23:54,688:INFO:master_model_container: 31
  7179. 2022-01-18 14:23:54,688:INFO:display_container: 19
  7180. 2022-01-18 14:23:54,689:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7181. max_depth=None, max_features=None, max_leaf_nodes=None,
  7182. min_impurity_decrease=0.0, min_impurity_split=None,
  7183. min_samples_leaf=1, min_samples_split=2,
  7184. min_weight_fraction_leaf=0.0, presort='deprecated',
  7185. random_state=424, splitter='best')
  7186. 2022-01-18 14:23:54,689:INFO:create_model() succesfully completed......................................
  7187. 2022-01-18 14:38:11,874:INFO:PyCaret Supervised Module
  7188. 2022-01-18 14:38:11,874:INFO:ML Usecase: classification
  7189. 2022-01-18 14:38:11,874:INFO:version 2.3.6
  7190. 2022-01-18 14:38:11,875:INFO:Initializing setup()
  7191. 2022-01-18 14:38:11,875:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  7192. 2022-01-18 14:38:11,875:INFO:Checking environment
  7193. 2022-01-18 14:38:11,875:INFO:python_version: 3.8.8
  7194. 2022-01-18 14:38:11,875:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  7195. 2022-01-18 14:38:11,875:INFO:machine: x86_64
  7196. 2022-01-18 14:38:11,875:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  7197. 2022-01-18 14:38:11,876:INFO:Memory: svmem(total=33619935232, available=28521803776, percent=15.2, used=4249128960, free=25853870080, active=1292222464, inactive=5859094528, buffers=680517632, cached=2836418560, shared=383610880, slab=312184832)
  7198. 2022-01-18 14:38:11,876:INFO:Physical Core: 16
  7199. 2022-01-18 14:38:11,876:INFO:Logical Core: 32
  7200. 2022-01-18 14:38:11,877:INFO:Checking libraries
  7201. 2022-01-18 14:38:11,877:INFO:pd==1.2.4
  7202. 2022-01-18 14:38:11,877:INFO:numpy==1.19.5
  7203. 2022-01-18 14:38:11,877:INFO:sklearn==0.23.2
  7204. 2022-01-18 14:38:11,877:INFO:lightgbm==3.3.2
  7205. 2022-01-18 14:38:11,878:WARNING:catboost not found
  7206. 2022-01-18 14:38:11,878:WARNING:xgboost not found
  7207. 2022-01-18 14:38:11,878:INFO:mlflow==1.22.0
  7208. 2022-01-18 14:38:11,878:INFO:Checking Exceptions
  7209. 2022-01-18 14:38:11,879:INFO:Declaring global variables
  7210. 2022-01-18 14:38:11,879:INFO:USI: b2d4
  7211. 2022-01-18 14:38:11,879:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  7212. 2022-01-18 14:38:11,879:INFO:Preparing display monitor
  7213. 2022-01-18 14:38:11,879:INFO:Preparing display monitor
  7214. 2022-01-18 14:38:11,886:INFO:Importing libraries
  7215. 2022-01-18 14:38:11,886:INFO:Copying data for preprocessing
  7216. 2022-01-18 14:38:11,892:INFO:Declaring preprocessing parameters
  7217. 2022-01-18 14:38:11,893:WARNING:cuML not found
  7218. 2022-01-18 14:38:11,893:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  7219. 2022-01-18 14:38:11,897:INFO:Creating preprocessing pipeline
  7220. 2022-01-18 14:38:11,928:INFO:Preprocessing pipeline created successfully
  7221. 2022-01-18 14:38:11,928:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  7222. 2022-01-18 14:38:11,928:INFO:Creating global containers
  7223. 2022-01-18 14:38:11,928:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  7224. 2022-01-18 14:38:17,510:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  7225. 2022-01-18 14:38:17,539:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  7226. 2022-01-18 14:38:17,540:WARNING:Couldn't import cuml.MBSGDClassifier
  7227. 2022-01-18 14:38:17,540:WARNING:Couldn't import cuml.svm.SVC
  7228. 2022-01-18 14:38:17,555:WARNING:Couldn't import cuml.linear_model
  7229. 2022-01-18 14:38:17,558:WARNING:Couldn't import cuml.ensemble
  7230. 2022-01-18 14:38:17,559:WARNING:Couldn't import xgboost.XGBClassifier
  7231. 2022-01-18 14:38:17,562:WARNING:Couldn't import catboost.CatBoostClassifier
  7232. 2022-01-18 14:38:17,563:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  7233. 2022-01-18 14:38:17,593:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  7234. 2022-01-18 14:38:17,594:WARNING:Couldn't import cuml.MBSGDClassifier
  7235. 2022-01-18 14:38:17,595:WARNING:Couldn't import cuml.svm.SVC
  7236. 2022-01-18 14:38:17,609:WARNING:Couldn't import cuml.linear_model
  7237. 2022-01-18 14:38:17,612:WARNING:Couldn't import cuml.ensemble
  7238. 2022-01-18 14:38:17,613:WARNING:Couldn't import xgboost.XGBClassifier
  7239. 2022-01-18 14:38:17,618:WARNING:Couldn't import catboost.CatBoostClassifier
  7240. 2022-01-18 14:38:17,618:INFO:Creating grid variables
  7241. 2022-01-18 14:38:17,631:INFO:create_model_container: 0
  7242. 2022-01-18 14:38:17,631:INFO:master_model_container: 0
  7243. 2022-01-18 14:38:17,631:INFO:display_container: 1
  7244. 2022-01-18 14:38:17,634:INFO:Pipeline(memory=None,
  7245. steps=[('dtypes',
  7246. DataTypes_Auto_infer(categorical_features=[],
  7247. display_types=True, features_todrop=[],
  7248. id_columns=[],
  7249. ml_usecase='classification',
  7250. numerical_features=[], target='label',
  7251. time_features=[])),
  7252. ('imputer',
  7253. Simple_Imputer(categorical_strategy='not_available',
  7254. fill_value_categorical=None,
  7255. fill_value_numerical=None,
  7256. numeric_strate...
  7257. ('fix_perfect', Remove_100(target='label')),
  7258. ('clean_names', Clean_Colum_Names()),
  7259. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  7260. ('dfs',
  7261. DFS_Classic(interactions=['multiply'],
  7262. ml_usecase='classification', n_jobs=-1,
  7263. random_state=3582, subclass='binary',
  7264. target='label',
  7265. top_features_to_pick_percentage=None)),
  7266. ('pca', 'passthrough')],
  7267. verbose=False)
  7268. 2022-01-18 14:38:17,635:INFO:setup() succesfully completed......................................
  7269. 2022-01-18 14:38:24,983:INFO:Initializing compare_models()
  7270. 2022-01-18 14:38:24,983:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  7271. 2022-01-18 14:38:24,983:INFO:Checking exceptions
  7272. 2022-01-18 14:38:24,985:INFO:Preparing display monitor
  7273. 2022-01-18 14:38:24,985:INFO:Preparing display monitor
  7274. 2022-01-18 14:38:25,002:INFO:Initializing Logistic Regression
  7275. 2022-01-18 14:38:25,002:INFO:Total runtime is 5.404154459635417e-06 minutes
  7276. 2022-01-18 14:38:25,008:INFO:SubProcess create_model() called ==================================
  7277. 2022-01-18 14:38:25,008:INFO:Initializing create_model()
  7278. 2022-01-18 14:38:25,009:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7279. 2022-01-18 14:38:25,009:INFO:Checking exceptions
  7280. 2022-01-18 14:38:25,009:INFO:Importing libraries
  7281. 2022-01-18 14:38:25,009:INFO:Copying training dataset
  7282. 2022-01-18 14:38:25,011:INFO:Defining folds
  7283. 2022-01-18 14:38:25,011:INFO:Declaring metric variables
  7284. 2022-01-18 14:38:25,016:INFO:Importing untrained model
  7285. 2022-01-18 14:38:25,021:INFO:Logistic Regression Imported succesfully
  7286. 2022-01-18 14:38:25,031:INFO:Starting cross validation
  7287. 2022-01-18 14:38:25,032:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7288. 2022-01-18 14:38:41,771:INFO:Calculating mean and std
  7289. 2022-01-18 14:38:41,772:INFO:Creating metrics dataframe
  7290. 2022-01-18 14:38:41,778:INFO:Uploading results into container
  7291. 2022-01-18 14:38:41,779:INFO:Uploading model into container now
  7292. 2022-01-18 14:38:41,780:INFO:create_model_container: 1
  7293. 2022-01-18 14:38:41,780:INFO:master_model_container: 1
  7294. 2022-01-18 14:38:41,780:INFO:display_container: 2
  7295. 2022-01-18 14:38:41,781:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  7296. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  7297. multi_class='auto', n_jobs=None, penalty='l2',
  7298. random_state=3582, solver='lbfgs', tol=0.0001, verbose=0,
  7299. warm_start=False)
  7300. 2022-01-18 14:38:41,781:INFO:create_model() succesfully completed......................................
  7301. 2022-01-18 14:38:41,891:INFO:SubProcess create_model() end ==================================
  7302. 2022-01-18 14:38:41,892:INFO:Creating metrics dataframe
  7303. 2022-01-18 14:38:41,901:INFO:Initializing K Neighbors Classifier
  7304. 2022-01-18 14:38:41,901:INFO:Total runtime is 0.2816558917363485 minutes
  7305. 2022-01-18 14:38:41,907:INFO:SubProcess create_model() called ==================================
  7306. 2022-01-18 14:38:41,907:INFO:Initializing create_model()
  7307. 2022-01-18 14:38:41,907:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7308. 2022-01-18 14:38:41,907:INFO:Checking exceptions
  7309. 2022-01-18 14:38:41,907:INFO:Importing libraries
  7310. 2022-01-18 14:38:41,908:INFO:Copying training dataset
  7311. 2022-01-18 14:38:41,909:INFO:Defining folds
  7312. 2022-01-18 14:38:41,909:INFO:Declaring metric variables
  7313. 2022-01-18 14:38:41,913:INFO:Importing untrained model
  7314. 2022-01-18 14:38:41,919:INFO:K Neighbors Classifier Imported succesfully
  7315. 2022-01-18 14:38:41,929:INFO:Starting cross validation
  7316. 2022-01-18 14:38:41,929:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7317. 2022-01-18 14:38:49,643:INFO:Calculating mean and std
  7318. 2022-01-18 14:38:49,644:INFO:Creating metrics dataframe
  7319. 2022-01-18 14:38:49,647:INFO:Uploading results into container
  7320. 2022-01-18 14:38:49,647:INFO:Uploading model into container now
  7321. 2022-01-18 14:38:49,648:INFO:create_model_container: 2
  7322. 2022-01-18 14:38:49,648:INFO:master_model_container: 2
  7323. 2022-01-18 14:38:49,648:INFO:display_container: 2
  7324. 2022-01-18 14:38:49,648:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  7325. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  7326. weights='uniform')
  7327. 2022-01-18 14:38:49,648:INFO:create_model() succesfully completed......................................
  7328. 2022-01-18 14:38:49,728:INFO:SubProcess create_model() end ==================================
  7329. 2022-01-18 14:38:49,728:INFO:Creating metrics dataframe
  7330. 2022-01-18 14:38:49,739:INFO:Initializing Naive Bayes
  7331. 2022-01-18 14:38:49,739:INFO:Total runtime is 0.4122879465421041 minutes
  7332. 2022-01-18 14:38:49,744:INFO:SubProcess create_model() called ==================================
  7333. 2022-01-18 14:38:49,745:INFO:Initializing create_model()
  7334. 2022-01-18 14:38:49,745:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7335. 2022-01-18 14:38:49,745:INFO:Checking exceptions
  7336. 2022-01-18 14:38:49,745:INFO:Importing libraries
  7337. 2022-01-18 14:38:49,745:INFO:Copying training dataset
  7338. 2022-01-18 14:38:49,747:INFO:Defining folds
  7339. 2022-01-18 14:38:49,747:INFO:Declaring metric variables
  7340. 2022-01-18 14:38:49,752:INFO:Importing untrained model
  7341. 2022-01-18 14:38:49,757:INFO:Naive Bayes Imported succesfully
  7342. 2022-01-18 14:38:49,767:INFO:Starting cross validation
  7343. 2022-01-18 14:38:49,767:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7344. 2022-01-18 14:38:50,052:INFO:Calculating mean and std
  7345. 2022-01-18 14:38:50,052:INFO:Creating metrics dataframe
  7346. 2022-01-18 14:38:50,055:INFO:Uploading results into container
  7347. 2022-01-18 14:38:50,055:INFO:Uploading model into container now
  7348. 2022-01-18 14:38:50,055:INFO:create_model_container: 3
  7349. 2022-01-18 14:38:50,055:INFO:master_model_container: 3
  7350. 2022-01-18 14:38:50,056:INFO:display_container: 2
  7351. 2022-01-18 14:38:50,056:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  7352. 2022-01-18 14:38:50,056:INFO:create_model() succesfully completed......................................
  7353. 2022-01-18 14:38:50,127:INFO:SubProcess create_model() end ==================================
  7354. 2022-01-18 14:38:50,128:INFO:Creating metrics dataframe
  7355. 2022-01-18 14:38:50,138:INFO:Initializing Decision Tree Classifier
  7356. 2022-01-18 14:38:50,139:INFO:Total runtime is 0.4189460674921672 minutes
  7357. 2022-01-18 14:38:50,144:INFO:SubProcess create_model() called ==================================
  7358. 2022-01-18 14:38:50,144:INFO:Initializing create_model()
  7359. 2022-01-18 14:38:50,144:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7360. 2022-01-18 14:38:50,144:INFO:Checking exceptions
  7361. 2022-01-18 14:38:50,145:INFO:Importing libraries
  7362. 2022-01-18 14:38:50,145:INFO:Copying training dataset
  7363. 2022-01-18 14:38:50,146:INFO:Defining folds
  7364. 2022-01-18 14:38:50,146:INFO:Declaring metric variables
  7365. 2022-01-18 14:38:50,151:INFO:Importing untrained model
  7366. 2022-01-18 14:38:50,156:INFO:Decision Tree Classifier Imported succesfully
  7367. 2022-01-18 14:38:50,167:INFO:Starting cross validation
  7368. 2022-01-18 14:38:50,167:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7369. 2022-01-18 14:38:52,978:INFO:Calculating mean and std
  7370. 2022-01-18 14:38:52,979:INFO:Creating metrics dataframe
  7371. 2022-01-18 14:38:52,982:INFO:Uploading results into container
  7372. 2022-01-18 14:38:52,982:INFO:Uploading model into container now
  7373. 2022-01-18 14:38:52,982:INFO:create_model_container: 4
  7374. 2022-01-18 14:38:52,982:INFO:master_model_container: 4
  7375. 2022-01-18 14:38:52,982:INFO:display_container: 2
  7376. 2022-01-18 14:38:52,983:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7377. max_depth=None, max_features=None, max_leaf_nodes=None,
  7378. min_impurity_decrease=0.0, min_impurity_split=None,
  7379. min_samples_leaf=1, min_samples_split=2,
  7380. min_weight_fraction_leaf=0.0, presort='deprecated',
  7381. random_state=3582, splitter='best')
  7382. 2022-01-18 14:38:52,983:INFO:create_model() succesfully completed......................................
  7383. 2022-01-18 14:38:53,057:INFO:SubProcess create_model() end ==================================
  7384. 2022-01-18 14:38:53,058:INFO:Creating metrics dataframe
  7385. 2022-01-18 14:38:53,069:INFO:Initializing SVM - Linear Kernel
  7386. 2022-01-18 14:38:53,069:INFO:Total runtime is 0.4677824258804322 minutes
  7387. 2022-01-18 14:38:53,074:INFO:SubProcess create_model() called ==================================
  7388. 2022-01-18 14:38:53,074:INFO:Initializing create_model()
  7389. 2022-01-18 14:38:53,074:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7390. 2022-01-18 14:38:53,075:INFO:Checking exceptions
  7391. 2022-01-18 14:38:53,075:INFO:Importing libraries
  7392. 2022-01-18 14:38:53,075:INFO:Copying training dataset
  7393. 2022-01-18 14:38:53,076:INFO:Defining folds
  7394. 2022-01-18 14:38:53,076:INFO:Declaring metric variables
  7395. 2022-01-18 14:38:53,081:INFO:Importing untrained model
  7396. 2022-01-18 14:38:53,086:INFO:SVM - Linear Kernel Imported succesfully
  7397. 2022-01-18 14:38:53,098:INFO:Starting cross validation
  7398. 2022-01-18 14:38:53,098:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7399. 2022-01-18 14:38:55,192:INFO:Calculating mean and std
  7400. 2022-01-18 14:38:55,193:INFO:Creating metrics dataframe
  7401. 2022-01-18 14:38:55,197:INFO:Uploading results into container
  7402. 2022-01-18 14:38:55,199:INFO:Uploading model into container now
  7403. 2022-01-18 14:38:55,201:INFO:create_model_container: 5
  7404. 2022-01-18 14:38:55,204:INFO:master_model_container: 5
  7405. 2022-01-18 14:38:55,205:INFO:display_container: 2
  7406. 2022-01-18 14:38:55,208:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  7407. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  7408. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  7409. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  7410. power_t=0.5, random_state=3582, shuffle=True, tol=0.001,
  7411. validation_fraction=0.1, verbose=0, warm_start=False)
  7412. 2022-01-18 14:38:55,209:INFO:create_model() succesfully completed......................................
  7413. 2022-01-18 14:38:55,296:INFO:SubProcess create_model() end ==================================
  7414. 2022-01-18 14:38:55,296:INFO:Creating metrics dataframe
  7415. 2022-01-18 14:38:55,308:INFO:Initializing Ridge Classifier
  7416. 2022-01-18 14:38:55,308:INFO:Total runtime is 0.5051049113273621 minutes
  7417. 2022-01-18 14:38:55,314:INFO:SubProcess create_model() called ==================================
  7418. 2022-01-18 14:38:55,314:INFO:Initializing create_model()
  7419. 2022-01-18 14:38:55,314:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7420. 2022-01-18 14:38:55,314:INFO:Checking exceptions
  7421. 2022-01-18 14:38:55,315:INFO:Importing libraries
  7422. 2022-01-18 14:38:55,315:INFO:Copying training dataset
  7423. 2022-01-18 14:38:55,316:INFO:Defining folds
  7424. 2022-01-18 14:38:55,317:INFO:Declaring metric variables
  7425. 2022-01-18 14:38:55,322:INFO:Importing untrained model
  7426. 2022-01-18 14:38:55,327:INFO:Ridge Classifier Imported succesfully
  7427. 2022-01-18 14:38:55,338:INFO:Starting cross validation
  7428. 2022-01-18 14:38:55,338:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7429. 2022-01-18 14:38:56,106:INFO:Calculating mean and std
  7430. 2022-01-18 14:38:56,107:INFO:Creating metrics dataframe
  7431. 2022-01-18 14:38:56,111:INFO:Uploading results into container
  7432. 2022-01-18 14:38:56,112:INFO:Uploading model into container now
  7433. 2022-01-18 14:38:56,113:INFO:create_model_container: 6
  7434. 2022-01-18 14:38:56,113:INFO:master_model_container: 6
  7435. 2022-01-18 14:38:56,113:INFO:display_container: 2
  7436. 2022-01-18 14:38:56,114:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  7437. max_iter=None, normalize=False, random_state=3582,
  7438. solver='auto', tol=0.001)
  7439. 2022-01-18 14:38:56,114:INFO:create_model() succesfully completed......................................
  7440. 2022-01-18 14:38:56,216:INFO:SubProcess create_model() end ==================================
  7441. 2022-01-18 14:38:56,217:INFO:Creating metrics dataframe
  7442. 2022-01-18 14:38:56,228:INFO:Initializing Random Forest Classifier
  7443. 2022-01-18 14:38:56,228:INFO:Total runtime is 0.5204451243082683 minutes
  7444. 2022-01-18 14:38:56,234:INFO:SubProcess create_model() called ==================================
  7445. 2022-01-18 14:38:56,234:INFO:Initializing create_model()
  7446. 2022-01-18 14:38:56,234:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7447. 2022-01-18 14:38:56,234:INFO:Checking exceptions
  7448. 2022-01-18 14:38:56,235:INFO:Importing libraries
  7449. 2022-01-18 14:38:56,235:INFO:Copying training dataset
  7450. 2022-01-18 14:38:56,236:INFO:Defining folds
  7451. 2022-01-18 14:38:56,237:INFO:Declaring metric variables
  7452. 2022-01-18 14:38:56,241:INFO:Importing untrained model
  7453. 2022-01-18 14:38:56,246:INFO:Random Forest Classifier Imported succesfully
  7454. 2022-01-18 14:38:56,255:INFO:Starting cross validation
  7455. 2022-01-18 14:38:56,256:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7456. 2022-01-18 14:39:03,247:INFO:Calculating mean and std
  7457. 2022-01-18 14:39:03,248:INFO:Creating metrics dataframe
  7458. 2022-01-18 14:39:03,251:INFO:Uploading results into container
  7459. 2022-01-18 14:39:03,251:INFO:Uploading model into container now
  7460. 2022-01-18 14:39:03,251:INFO:create_model_container: 7
  7461. 2022-01-18 14:39:03,252:INFO:master_model_container: 7
  7462. 2022-01-18 14:39:03,252:INFO:display_container: 2
  7463. 2022-01-18 14:39:03,252:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7464. criterion='gini', max_depth=None, max_features='auto',
  7465. max_leaf_nodes=None, max_samples=None,
  7466. min_impurity_decrease=0.0, min_impurity_split=None,
  7467. min_samples_leaf=1, min_samples_split=2,
  7468. min_weight_fraction_leaf=0.0, n_estimators=100,
  7469. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7470. warm_start=False)
  7471. 2022-01-18 14:39:03,252:INFO:create_model() succesfully completed......................................
  7472. 2022-01-18 14:39:03,329:INFO:SubProcess create_model() end ==================================
  7473. 2022-01-18 14:39:03,329:INFO:Creating metrics dataframe
  7474. 2022-01-18 14:39:03,341:INFO:Initializing Quadratic Discriminant Analysis
  7475. 2022-01-18 14:39:03,341:INFO:Total runtime is 0.6389830907185873 minutes
  7476. 2022-01-18 14:39:03,346:INFO:SubProcess create_model() called ==================================
  7477. 2022-01-18 14:39:03,346:INFO:Initializing create_model()
  7478. 2022-01-18 14:39:03,346:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7479. 2022-01-18 14:39:03,347:INFO:Checking exceptions
  7480. 2022-01-18 14:39:03,347:INFO:Importing libraries
  7481. 2022-01-18 14:39:03,347:INFO:Copying training dataset
  7482. 2022-01-18 14:39:03,348:INFO:Defining folds
  7483. 2022-01-18 14:39:03,348:INFO:Declaring metric variables
  7484. 2022-01-18 14:39:03,354:INFO:Importing untrained model
  7485. 2022-01-18 14:39:03,359:INFO:Quadratic Discriminant Analysis Imported succesfully
  7486. 2022-01-18 14:39:03,369:INFO:Starting cross validation
  7487. 2022-01-18 14:39:03,370:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7488. 2022-01-18 14:39:04,734:INFO:Calculating mean and std
  7489. 2022-01-18 14:39:04,735:INFO:Creating metrics dataframe
  7490. 2022-01-18 14:39:04,745:INFO:Uploading results into container
  7491. 2022-01-18 14:39:04,746:INFO:Uploading model into container now
  7492. 2022-01-18 14:39:04,749:INFO:create_model_container: 8
  7493. 2022-01-18 14:39:04,749:INFO:master_model_container: 8
  7494. 2022-01-18 14:39:04,749:INFO:display_container: 2
  7495. 2022-01-18 14:39:04,750:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  7496. store_covariance=False, tol=0.0001)
  7497. 2022-01-18 14:39:04,750:INFO:create_model() succesfully completed......................................
  7498. 2022-01-18 14:39:04,833:INFO:SubProcess create_model() end ==================================
  7499. 2022-01-18 14:39:04,833:INFO:Creating metrics dataframe
  7500. 2022-01-18 14:39:04,845:INFO:Initializing Ada Boost Classifier
  7501. 2022-01-18 14:39:04,845:INFO:Total runtime is 0.6640598138173421 minutes
  7502. 2022-01-18 14:39:04,851:INFO:SubProcess create_model() called ==================================
  7503. 2022-01-18 14:39:04,851:INFO:Initializing create_model()
  7504. 2022-01-18 14:39:04,852:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7505. 2022-01-18 14:39:04,852:INFO:Checking exceptions
  7506. 2022-01-18 14:39:04,852:INFO:Importing libraries
  7507. 2022-01-18 14:39:04,852:INFO:Copying training dataset
  7508. 2022-01-18 14:39:04,854:INFO:Defining folds
  7509. 2022-01-18 14:39:04,854:INFO:Declaring metric variables
  7510. 2022-01-18 14:39:04,859:INFO:Importing untrained model
  7511. 2022-01-18 14:39:04,864:INFO:Ada Boost Classifier Imported succesfully
  7512. 2022-01-18 14:39:04,874:INFO:Starting cross validation
  7513. 2022-01-18 14:39:04,875:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7514. 2022-01-18 14:39:17,712:INFO:Calculating mean and std
  7515. 2022-01-18 14:39:17,713:INFO:Creating metrics dataframe
  7516. 2022-01-18 14:39:17,716:INFO:Uploading results into container
  7517. 2022-01-18 14:39:17,716:INFO:Uploading model into container now
  7518. 2022-01-18 14:39:17,716:INFO:create_model_container: 9
  7519. 2022-01-18 14:39:17,716:INFO:master_model_container: 9
  7520. 2022-01-18 14:39:17,716:INFO:display_container: 2
  7521. 2022-01-18 14:39:17,717:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  7522. n_estimators=50, random_state=3582)
  7523. 2022-01-18 14:39:17,717:INFO:create_model() succesfully completed......................................
  7524. 2022-01-18 14:39:17,787:INFO:SubProcess create_model() end ==================================
  7525. 2022-01-18 14:39:17,788:INFO:Creating metrics dataframe
  7526. 2022-01-18 14:39:17,800:INFO:Initializing Gradient Boosting Classifier
  7527. 2022-01-18 14:39:17,800:INFO:Total runtime is 0.8799694895744323 minutes
  7528. 2022-01-18 14:39:17,805:INFO:SubProcess create_model() called ==================================
  7529. 2022-01-18 14:39:17,806:INFO:Initializing create_model()
  7530. 2022-01-18 14:39:17,806:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7531. 2022-01-18 14:39:17,806:INFO:Checking exceptions
  7532. 2022-01-18 14:39:17,806:INFO:Importing libraries
  7533. 2022-01-18 14:39:17,806:INFO:Copying training dataset
  7534. 2022-01-18 14:39:17,808:INFO:Defining folds
  7535. 2022-01-18 14:39:17,808:INFO:Declaring metric variables
  7536. 2022-01-18 14:39:17,813:INFO:Importing untrained model
  7537. 2022-01-18 14:39:17,818:INFO:Gradient Boosting Classifier Imported succesfully
  7538. 2022-01-18 14:39:17,828:INFO:Starting cross validation
  7539. 2022-01-18 14:39:17,829:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7540. 2022-01-18 14:40:11,468:INFO:Calculating mean and std
  7541. 2022-01-18 14:40:11,469:INFO:Creating metrics dataframe
  7542. 2022-01-18 14:40:11,471:INFO:Uploading results into container
  7543. 2022-01-18 14:40:11,471:INFO:Uploading model into container now
  7544. 2022-01-18 14:40:11,472:INFO:create_model_container: 10
  7545. 2022-01-18 14:40:11,472:INFO:master_model_container: 10
  7546. 2022-01-18 14:40:11,472:INFO:display_container: 2
  7547. 2022-01-18 14:40:11,472:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  7548. learning_rate=0.1, loss='deviance', max_depth=3,
  7549. max_features=None, max_leaf_nodes=None,
  7550. min_impurity_decrease=0.0, min_impurity_split=None,
  7551. min_samples_leaf=1, min_samples_split=2,
  7552. min_weight_fraction_leaf=0.0, n_estimators=100,
  7553. n_iter_no_change=None, presort='deprecated',
  7554. random_state=3582, subsample=1.0, tol=0.0001,
  7555. validation_fraction=0.1, verbose=0,
  7556. warm_start=False)
  7557. 2022-01-18 14:40:11,472:INFO:create_model() succesfully completed......................................
  7558. 2022-01-18 14:40:11,543:INFO:SubProcess create_model() end ==================================
  7559. 2022-01-18 14:40:11,544:INFO:Creating metrics dataframe
  7560. 2022-01-18 14:40:11,556:INFO:Initializing Linear Discriminant Analysis
  7561. 2022-01-18 14:40:11,556:INFO:Total runtime is 1.7759081284205118 minutes
  7562. 2022-01-18 14:40:11,562:INFO:SubProcess create_model() called ==================================
  7563. 2022-01-18 14:40:11,562:INFO:Initializing create_model()
  7564. 2022-01-18 14:40:11,562:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7565. 2022-01-18 14:40:11,562:INFO:Checking exceptions
  7566. 2022-01-18 14:40:11,562:INFO:Importing libraries
  7567. 2022-01-18 14:40:11,562:INFO:Copying training dataset
  7568. 2022-01-18 14:40:11,564:INFO:Defining folds
  7569. 2022-01-18 14:40:11,564:INFO:Declaring metric variables
  7570. 2022-01-18 14:40:11,569:INFO:Importing untrained model
  7571. 2022-01-18 14:40:11,576:INFO:Linear Discriminant Analysis Imported succesfully
  7572. 2022-01-18 14:40:11,586:INFO:Starting cross validation
  7573. 2022-01-18 14:40:11,586:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7574. 2022-01-18 14:40:14,122:INFO:Calculating mean and std
  7575. 2022-01-18 14:40:14,123:INFO:Creating metrics dataframe
  7576. 2022-01-18 14:40:14,127:INFO:Uploading results into container
  7577. 2022-01-18 14:40:14,131:INFO:Uploading model into container now
  7578. 2022-01-18 14:40:14,132:INFO:create_model_container: 11
  7579. 2022-01-18 14:40:14,132:INFO:master_model_container: 11
  7580. 2022-01-18 14:40:14,132:INFO:display_container: 2
  7581. 2022-01-18 14:40:14,133:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  7582. solver='svd', store_covariance=False, tol=0.0001)
  7583. 2022-01-18 14:40:14,133:INFO:create_model() succesfully completed......................................
  7584. 2022-01-18 14:40:14,218:INFO:SubProcess create_model() end ==================================
  7585. 2022-01-18 14:40:14,219:INFO:Creating metrics dataframe
  7586. 2022-01-18 14:40:14,231:INFO:Initializing Extra Trees Classifier
  7587. 2022-01-18 14:40:14,232:INFO:Total runtime is 1.8204961260159809 minutes
  7588. 2022-01-18 14:40:14,237:INFO:SubProcess create_model() called ==================================
  7589. 2022-01-18 14:40:14,237:INFO:Initializing create_model()
  7590. 2022-01-18 14:40:14,237:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7591. 2022-01-18 14:40:14,237:INFO:Checking exceptions
  7592. 2022-01-18 14:40:14,238:INFO:Importing libraries
  7593. 2022-01-18 14:40:14,238:INFO:Copying training dataset
  7594. 2022-01-18 14:40:14,239:INFO:Defining folds
  7595. 2022-01-18 14:40:14,239:INFO:Declaring metric variables
  7596. 2022-01-18 14:40:14,244:INFO:Importing untrained model
  7597. 2022-01-18 14:40:14,249:INFO:Extra Trees Classifier Imported succesfully
  7598. 2022-01-18 14:40:14,259:INFO:Starting cross validation
  7599. 2022-01-18 14:40:14,260:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7600. 2022-01-18 14:40:21,111:INFO:Calculating mean and std
  7601. 2022-01-18 14:40:21,112:INFO:Creating metrics dataframe
  7602. 2022-01-18 14:40:21,115:INFO:Uploading results into container
  7603. 2022-01-18 14:40:21,115:INFO:Uploading model into container now
  7604. 2022-01-18 14:40:21,115:INFO:create_model_container: 12
  7605. 2022-01-18 14:40:21,115:INFO:master_model_container: 12
  7606. 2022-01-18 14:40:21,115:INFO:display_container: 2
  7607. 2022-01-18 14:40:21,116:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  7608. criterion='gini', max_depth=None, max_features='auto',
  7609. max_leaf_nodes=None, max_samples=None,
  7610. min_impurity_decrease=0.0, min_impurity_split=None,
  7611. min_samples_leaf=1, min_samples_split=2,
  7612. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  7613. oob_score=False, random_state=3582, verbose=0,
  7614. warm_start=False)
  7615. 2022-01-18 14:40:21,116:INFO:create_model() succesfully completed......................................
  7616. 2022-01-18 14:40:21,201:INFO:SubProcess create_model() end ==================================
  7617. 2022-01-18 14:40:21,201:INFO:Creating metrics dataframe
  7618. 2022-01-18 14:40:21,214:INFO:Initializing Light Gradient Boosting Machine
  7619. 2022-01-18 14:40:21,214:INFO:Total runtime is 1.936876054604848 minutes
  7620. 2022-01-18 14:40:21,220:INFO:SubProcess create_model() called ==================================
  7621. 2022-01-18 14:40:21,220:INFO:Initializing create_model()
  7622. 2022-01-18 14:40:21,220:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7623. 2022-01-18 14:40:21,221:INFO:Checking exceptions
  7624. 2022-01-18 14:40:21,221:INFO:Importing libraries
  7625. 2022-01-18 14:40:21,221:INFO:Copying training dataset
  7626. 2022-01-18 14:40:21,222:INFO:Defining folds
  7627. 2022-01-18 14:40:21,223:INFO:Declaring metric variables
  7628. 2022-01-18 14:40:21,228:INFO:Importing untrained model
  7629. 2022-01-18 14:40:21,232:INFO:Light Gradient Boosting Machine Imported succesfully
  7630. 2022-01-18 14:40:21,242:INFO:Starting cross validation
  7631. 2022-01-18 14:40:21,243:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7632. 2022-01-18 14:40:26,314:INFO:Calculating mean and std
  7633. 2022-01-18 14:40:26,315:INFO:Creating metrics dataframe
  7634. 2022-01-18 14:40:26,318:INFO:Uploading results into container
  7635. 2022-01-18 14:40:26,318:INFO:Uploading model into container now
  7636. 2022-01-18 14:40:26,318:INFO:create_model_container: 13
  7637. 2022-01-18 14:40:26,319:INFO:master_model_container: 13
  7638. 2022-01-18 14:40:26,319:INFO:display_container: 2
  7639. 2022-01-18 14:40:26,319:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  7640. importance_type='split', learning_rate=0.1, max_depth=-1,
  7641. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  7642. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  7643. random_state=3582, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  7644. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  7645. 2022-01-18 14:40:26,319:INFO:create_model() succesfully completed......................................
  7646. 2022-01-18 14:40:26,390:INFO:SubProcess create_model() end ==================================
  7647. 2022-01-18 14:40:26,390:INFO:Creating metrics dataframe
  7648. 2022-01-18 14:40:26,404:INFO:Initializing Dummy Classifier
  7649. 2022-01-18 14:40:26,404:INFO:Total runtime is 2.023368187745412 minutes
  7650. 2022-01-18 14:40:26,409:INFO:SubProcess create_model() called ==================================
  7651. 2022-01-18 14:40:26,409:INFO:Initializing create_model()
  7652. 2022-01-18 14:40:26,409:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7653. 2022-01-18 14:40:26,410:INFO:Checking exceptions
  7654. 2022-01-18 14:40:26,410:INFO:Importing libraries
  7655. 2022-01-18 14:40:26,410:INFO:Copying training dataset
  7656. 2022-01-18 14:40:26,411:INFO:Defining folds
  7657. 2022-01-18 14:40:26,411:INFO:Declaring metric variables
  7658. 2022-01-18 14:40:26,416:INFO:Importing untrained model
  7659. 2022-01-18 14:40:26,421:INFO:Dummy Classifier Imported succesfully
  7660. 2022-01-18 14:40:26,431:INFO:Starting cross validation
  7661. 2022-01-18 14:40:26,432:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7662. 2022-01-18 14:40:26,555:INFO:Calculating mean and std
  7663. 2022-01-18 14:40:26,556:INFO:Creating metrics dataframe
  7664. 2022-01-18 14:40:26,559:INFO:Uploading results into container
  7665. 2022-01-18 14:40:26,559:INFO:Uploading model into container now
  7666. 2022-01-18 14:40:26,559:INFO:create_model_container: 14
  7667. 2022-01-18 14:40:26,559:INFO:master_model_container: 14
  7668. 2022-01-18 14:40:26,559:INFO:display_container: 2
  7669. 2022-01-18 14:40:26,560:INFO:DummyClassifier(constant=None, random_state=3582, strategy='prior')
  7670. 2022-01-18 14:40:26,560:INFO:create_model() succesfully completed......................................
  7671. 2022-01-18 14:40:26,648:INFO:SubProcess create_model() end ==================================
  7672. 2022-01-18 14:40:26,649:INFO:Creating metrics dataframe
  7673. 2022-01-18 14:40:26,675:INFO:Initializing create_model()
  7674. 2022-01-18 14:40:26,676:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7675. criterion='gini', max_depth=None, max_features='auto',
  7676. max_leaf_nodes=None, max_samples=None,
  7677. min_impurity_decrease=0.0, min_impurity_split=None,
  7678. min_samples_leaf=1, min_samples_split=2,
  7679. min_weight_fraction_leaf=0.0, n_estimators=100,
  7680. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7681. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  7682. 2022-01-18 14:40:26,676:INFO:Checking exceptions
  7683. 2022-01-18 14:40:26,676:INFO:Importing libraries
  7684. 2022-01-18 14:40:26,676:INFO:Copying training dataset
  7685. 2022-01-18 14:40:26,677:INFO:Defining folds
  7686. 2022-01-18 14:40:26,678:INFO:Declaring metric variables
  7687. 2022-01-18 14:40:26,678:INFO:Importing untrained model
  7688. 2022-01-18 14:40:26,678:INFO:Declaring custom model
  7689. 2022-01-18 14:40:26,678:INFO:Random Forest Classifier Imported succesfully
  7690. 2022-01-18 14:40:26,679:INFO:Cross validation set to False
  7691. 2022-01-18 14:40:26,679:INFO:Fitting Model
  7692. 2022-01-18 14:40:27,072:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7693. criterion='gini', max_depth=None, max_features='auto',
  7694. max_leaf_nodes=None, max_samples=None,
  7695. min_impurity_decrease=0.0, min_impurity_split=None,
  7696. min_samples_leaf=1, min_samples_split=2,
  7697. min_weight_fraction_leaf=0.0, n_estimators=100,
  7698. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7699. warm_start=False)
  7700. 2022-01-18 14:40:27,073:INFO:create_models() succesfully completed......................................
  7701. 2022-01-18 14:40:27,175:INFO:create_model_container: 14
  7702. 2022-01-18 14:40:27,175:INFO:master_model_container: 14
  7703. 2022-01-18 14:40:27,175:INFO:display_container: 2
  7704. 2022-01-18 14:40:27,176:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7705. criterion='gini', max_depth=None, max_features='auto',
  7706. max_leaf_nodes=None, max_samples=None,
  7707. min_impurity_decrease=0.0, min_impurity_split=None,
  7708. min_samples_leaf=1, min_samples_split=2,
  7709. min_weight_fraction_leaf=0.0, n_estimators=100,
  7710. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7711. warm_start=False)
  7712. 2022-01-18 14:40:27,176:INFO:compare_models() succesfully completed......................................
  7713. 2022-01-18 14:41:08,681:INFO:Initializing create_model()
  7714. 2022-01-18 14:41:08,682:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  7715. 2022-01-18 14:41:08,682:INFO:Checking exceptions
  7716. 2022-01-18 14:41:08,682:INFO:Preparing display monitor
  7717. 2022-01-18 14:41:08,694:INFO:Importing libraries
  7718. 2022-01-18 14:41:08,694:INFO:Copying training dataset
  7719. 2022-01-18 14:41:08,695:INFO:Defining folds
  7720. 2022-01-18 14:41:08,696:INFO:Declaring metric variables
  7721. 2022-01-18 14:41:08,701:INFO:Importing untrained model
  7722. 2022-01-18 14:41:08,706:INFO:Decision Tree Classifier Imported succesfully
  7723. 2022-01-18 14:41:08,716:INFO:Starting cross validation
  7724. 2022-01-18 14:41:08,717:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7725. 2022-01-18 14:41:11,604:INFO:Calculating mean and std
  7726. 2022-01-18 14:41:11,605:INFO:Creating metrics dataframe
  7727. 2022-01-18 14:41:11,612:INFO:Finalizing model
  7728. 2022-01-18 14:41:11,926:INFO:Uploading results into container
  7729. 2022-01-18 14:41:11,926:INFO:Uploading model into container now
  7730. 2022-01-18 14:41:11,936:INFO:create_model_container: 15
  7731. 2022-01-18 14:41:11,937:INFO:master_model_container: 15
  7732. 2022-01-18 14:41:11,937:INFO:display_container: 3
  7733. 2022-01-18 14:41:11,937:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7734. max_depth=None, max_features=None, max_leaf_nodes=None,
  7735. min_impurity_decrease=0.0, min_impurity_split=None,
  7736. min_samples_leaf=1, min_samples_split=2,
  7737. min_weight_fraction_leaf=0.0, presort='deprecated',
  7738. random_state=3582, splitter='best')
  7739. 2022-01-18 14:41:11,937:INFO:create_model() succesfully completed......................................
  7740. 2022-01-18 14:41:22,556:INFO:Initializing evaluate_model()
  7741. 2022-01-18 14:41:22,556:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7742. max_depth=None, max_features=None, max_leaf_nodes=None,
  7743. min_impurity_decrease=0.0, min_impurity_split=None,
  7744. min_samples_leaf=1, min_samples_split=2,
  7745. min_weight_fraction_leaf=0.0, presort='deprecated',
  7746. random_state=3582, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  7747. 2022-01-18 14:41:22,567:INFO:Initializing plot_model()
  7748. 2022-01-18 14:41:22,567:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7749. max_depth=None, max_features=None, max_leaf_nodes=None,
  7750. min_impurity_decrease=0.0, min_impurity_split=None,
  7751. min_samples_leaf=1, min_samples_split=2,
  7752. min_weight_fraction_leaf=0.0, presort='deprecated',
  7753. random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  7754. 2022-01-18 14:41:22,568:INFO:Checking exceptions
  7755. 2022-01-18 14:41:22,569:INFO:Preparing display monitor
  7756. 2022-01-18 14:41:22,573:INFO:Preloading libraries
  7757. 2022-01-18 14:41:22,574:INFO:Copying training dataset
  7758. 2022-01-18 14:41:22,575:INFO:Copying test dataset
  7759. 2022-01-18 14:41:22,576:INFO:Plot type: parameter
  7760. 2022-01-18 14:41:22,580:INFO:Visual Rendered Successfully
  7761. 2022-01-18 14:41:22,662:INFO:plot_model() succesfully completed......................................
  7762. 2022-01-18 14:41:24,609:INFO:Initializing plot_model()
  7763. 2022-01-18 14:41:24,609:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7764. max_depth=None, max_features=None, max_leaf_nodes=None,
  7765. min_impurity_decrease=0.0, min_impurity_split=None,
  7766. min_samples_leaf=1, min_samples_split=2,
  7767. min_weight_fraction_leaf=0.0, presort='deprecated',
  7768. random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  7769. 2022-01-18 14:41:24,610:INFO:Checking exceptions
  7770. 2022-01-18 14:41:24,610:INFO:Preparing display monitor
  7771. 2022-01-18 14:41:24,614:INFO:Preloading libraries
  7772. 2022-01-18 14:41:24,615:INFO:Copying training dataset
  7773. 2022-01-18 14:41:24,616:INFO:Copying test dataset
  7774. 2022-01-18 14:41:24,617:INFO:Plot type: auc
  7775. 2022-01-18 14:41:24,618:INFO:Initializing get_config()
  7776. 2022-01-18 14:41:24,618:INFO:get_config(variable=prep_pipe)
  7777. 2022-01-18 14:41:24,622:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  7778. steps=[('dtypes',
  7779. DataTypes_Auto_infer(categorical_features=[],
  7780. display_types=True, features_todrop=[],
  7781. id_columns=[],
  7782. ml_usecase='classification',
  7783. numerical_features=[], target='label',
  7784. time_features=[])),
  7785. ('imputer',
  7786. Simple_Imputer(categorical_strategy='not_available',
  7787. fill_value_categorical=None,
  7788. fill_value_numerical=None,
  7789. numeric_strate...
  7790. ('fix_perfect', Remove_100(target='label')),
  7791. ('clean_names', Clean_Colum_Names()),
  7792. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  7793. ('dfs',
  7794. DFS_Classic(interactions=['multiply'],
  7795. ml_usecase='classification', n_jobs=-1,
  7796. random_state=3582, subclass='binary',
  7797. target='label',
  7798. top_features_to_pick_percentage=None)),
  7799. ('pca', 'passthrough')],
  7800. verbose=False)
  7801. 2022-01-18 14:41:24,622:INFO:get_config() succesfully completed......................................
  7802. 2022-01-18 14:41:24,623:INFO:Fitting Model
  7803. 2022-01-18 14:41:24,624:INFO:Scoring test/hold-out set
  7804. 2022-01-18 14:41:24,726:INFO:Visual Rendered Successfully
  7805. 2022-01-18 14:41:24,803:INFO:plot_model() succesfully completed......................................
  7806. 2022-01-18 14:41:27,522:INFO:Initializing plot_model()
  7807. 2022-01-18 14:41:27,523:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7808. max_depth=None, max_features=None, max_leaf_nodes=None,
  7809. min_impurity_decrease=0.0, min_impurity_split=None,
  7810. min_samples_leaf=1, min_samples_split=2,
  7811. min_weight_fraction_leaf=0.0, presort='deprecated',
  7812. random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  7813. 2022-01-18 14:41:27,523:INFO:Checking exceptions
  7814. 2022-01-18 14:41:27,524:INFO:Preparing display monitor
  7815. 2022-01-18 14:41:27,528:INFO:Preloading libraries
  7816. 2022-01-18 14:41:27,530:INFO:Copying training dataset
  7817. 2022-01-18 14:41:27,531:INFO:Copying test dataset
  7818. 2022-01-18 14:41:27,532:INFO:Plot type: feature_all
  7819. 2022-01-18 14:41:27,533:WARNING:No coef_ found. Trying feature_importances_
  7820. 2022-01-18 14:41:28,026:INFO:Visual Rendered Successfully
  7821. 2022-01-18 14:41:28,106:INFO:plot_model() succesfully completed......................................
  7822. 2022-01-18 14:42:20,889:INFO:Initializing create_model()
  7823. 2022-01-18 14:42:20,889:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  7824. 2022-01-18 14:42:20,889:INFO:Checking exceptions
  7825. 2022-01-18 14:42:20,889:INFO:Preparing display monitor
  7826. 2022-01-18 14:42:20,901:INFO:Importing libraries
  7827. 2022-01-18 14:42:20,901:INFO:Copying training dataset
  7828. 2022-01-18 14:42:20,903:INFO:Defining folds
  7829. 2022-01-18 14:42:20,903:INFO:Declaring metric variables
  7830. 2022-01-18 14:42:20,908:INFO:Importing untrained model
  7831. 2022-01-18 14:42:20,913:INFO:Random Forest Classifier Imported succesfully
  7832. 2022-01-18 14:42:20,925:INFO:Starting cross validation
  7833. 2022-01-18 14:42:20,926:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7834. 2022-01-18 14:42:27,863:INFO:Calculating mean and std
  7835. 2022-01-18 14:42:27,864:INFO:Creating metrics dataframe
  7836. 2022-01-18 14:42:27,872:INFO:Finalizing model
  7837. 2022-01-18 14:42:28,265:INFO:Uploading results into container
  7838. 2022-01-18 14:42:28,266:INFO:Uploading model into container now
  7839. 2022-01-18 14:42:28,276:INFO:create_model_container: 16
  7840. 2022-01-18 14:42:28,277:INFO:master_model_container: 16
  7841. 2022-01-18 14:42:28,277:INFO:display_container: 4
  7842. 2022-01-18 14:42:28,277:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7843. criterion='gini', max_depth=None, max_features='auto',
  7844. max_leaf_nodes=None, max_samples=None,
  7845. min_impurity_decrease=0.0, min_impurity_split=None,
  7846. min_samples_leaf=1, min_samples_split=2,
  7847. min_weight_fraction_leaf=0.0, n_estimators=100,
  7848. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7849. warm_start=False)
  7850. 2022-01-18 14:42:28,278:INFO:create_model() succesfully completed......................................
  7851. 2022-01-18 14:42:33,938:INFO:Initializing evaluate_model()
  7852. 2022-01-18 14:42:33,938:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7853. criterion='gini', max_depth=None, max_features='auto',
  7854. max_leaf_nodes=None, max_samples=None,
  7855. min_impurity_decrease=0.0, min_impurity_split=None,
  7856. min_samples_leaf=1, min_samples_split=2,
  7857. min_weight_fraction_leaf=0.0, n_estimators=100,
  7858. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7859. warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  7860. 2022-01-18 14:42:33,949:INFO:Initializing plot_model()
  7861. 2022-01-18 14:42:33,949:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7862. criterion='gini', max_depth=None, max_features='auto',
  7863. max_leaf_nodes=None, max_samples=None,
  7864. min_impurity_decrease=0.0, min_impurity_split=None,
  7865. min_samples_leaf=1, min_samples_split=2,
  7866. min_weight_fraction_leaf=0.0, n_estimators=100,
  7867. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7868. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  7869. 2022-01-18 14:42:33,949:INFO:Checking exceptions
  7870. 2022-01-18 14:42:33,965:INFO:Preparing display monitor
  7871. 2022-01-18 14:42:33,970:INFO:Preloading libraries
  7872. 2022-01-18 14:42:33,980:INFO:Copying training dataset
  7873. 2022-01-18 14:42:33,981:INFO:Copying test dataset
  7874. 2022-01-18 14:42:33,982:INFO:Plot type: parameter
  7875. 2022-01-18 14:42:34,017:INFO:Visual Rendered Successfully
  7876. 2022-01-18 14:42:34,097:INFO:plot_model() succesfully completed......................................
  7877. 2022-01-18 14:42:36,916:INFO:Initializing plot_model()
  7878. 2022-01-18 14:42:36,917:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7879. criterion='gini', max_depth=None, max_features='auto',
  7880. max_leaf_nodes=None, max_samples=None,
  7881. min_impurity_decrease=0.0, min_impurity_split=None,
  7882. min_samples_leaf=1, min_samples_split=2,
  7883. min_weight_fraction_leaf=0.0, n_estimators=100,
  7884. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7885. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  7886. 2022-01-18 14:42:36,917:INFO:Checking exceptions
  7887. 2022-01-18 14:42:36,933:INFO:Preparing display monitor
  7888. 2022-01-18 14:42:36,938:INFO:Preloading libraries
  7889. 2022-01-18 14:42:36,947:INFO:Copying training dataset
  7890. 2022-01-18 14:42:36,948:INFO:Copying test dataset
  7891. 2022-01-18 14:42:36,949:INFO:Plot type: feature
  7892. 2022-01-18 14:42:36,977:WARNING:No coef_ found. Trying feature_importances_
  7893. 2022-01-18 14:42:37,076:INFO:Visual Rendered Successfully
  7894. 2022-01-18 14:42:37,151:INFO:plot_model() succesfully completed......................................
  7895. 2022-01-18 14:42:46,976:INFO:Initializing plot_model()
  7896. 2022-01-18 14:42:46,976:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7897. criterion='gini', max_depth=None, max_features='auto',
  7898. max_leaf_nodes=None, max_samples=None,
  7899. min_impurity_decrease=0.0, min_impurity_split=None,
  7900. min_samples_leaf=1, min_samples_split=2,
  7901. min_weight_fraction_leaf=0.0, n_estimators=100,
  7902. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7903. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  7904. 2022-01-18 14:42:46,977:INFO:Checking exceptions
  7905. 2022-01-18 14:42:46,993:INFO:Preparing display monitor
  7906. 2022-01-18 14:42:46,998:INFO:Preloading libraries
  7907. 2022-01-18 14:42:47,008:INFO:Copying training dataset
  7908. 2022-01-18 14:42:47,009:INFO:Copying test dataset
  7909. 2022-01-18 14:42:47,010:INFO:Plot type: feature_all
  7910. 2022-01-18 14:42:47,043:WARNING:No coef_ found. Trying feature_importances_
  7911. 2022-01-18 14:42:47,566:INFO:Visual Rendered Successfully
  7912. 2022-01-18 14:42:47,648:INFO:plot_model() succesfully completed......................................
  7913. 2022-01-18 15:11:14,651:INFO:Initializing tune_model()
  7914. 2022-01-18 15:11:14,651:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7915. criterion='gini', max_depth=None, max_features='auto',
  7916. max_leaf_nodes=None, max_samples=None,
  7917. min_impurity_decrease=0.0, min_impurity_split=None,
  7918. min_samples_leaf=1, min_samples_split=2,
  7919. min_weight_fraction_leaf=0.0, n_estimators=100,
  7920. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7921. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Kappa, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  7922. 2022-01-18 15:11:14,652:INFO:Checking exceptions
  7923. 2022-01-18 15:11:14,653:INFO:Preparing display monitor
  7924. 2022-01-18 15:11:14,663:INFO:Copying training dataset
  7925. 2022-01-18 15:11:14,664:INFO:Checking base model
  7926. 2022-01-18 15:11:14,665:INFO:Base model : Random Forest Classifier
  7927. 2022-01-18 15:11:14,670:INFO:Declaring metric variables
  7928. 2022-01-18 15:11:14,675:INFO:Defining Hyperparameters
  7929. 2022-01-18 15:11:14,757:INFO:Tuning with n_jobs=-1
  7930. 2022-01-18 15:11:14,757:INFO:Initializing RandomizedSearchCV
  7931. 2022-01-18 15:11:53,323:INFO:best_params: {'actual_estimator__n_estimators': 240, 'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 2, 'actual_estimator__min_impurity_decrease': 0.0005, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 11, 'actual_estimator__criterion': 'gini', 'actual_estimator__class_weight': {}, 'actual_estimator__bootstrap': False}
  7932. 2022-01-18 15:11:53,324:INFO:Hyperparameter search completed
  7933. 2022-01-18 15:11:53,324:INFO:SubProcess create_model() called ==================================
  7934. 2022-01-18 15:11:53,325:INFO:Initializing create_model()
  7935. 2022-01-18 15:11:53,325:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7936. criterion='gini', max_depth=None, max_features='auto',
  7937. max_leaf_nodes=None, max_samples=None,
  7938. min_impurity_decrease=0.0, min_impurity_split=None,
  7939. min_samples_leaf=1, min_samples_split=2,
  7940. min_weight_fraction_leaf=0.0, n_estimators=100,
  7941. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7942. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cbe340>, kwargs={'n_estimators': 240, 'min_samples_split': 5, 'min_samples_leaf': 2, 'min_impurity_decrease': 0.0005, 'max_features': 1.0, 'max_depth': 11, 'criterion': 'gini', 'class_weight': {}, 'bootstrap': False})
  7943. 2022-01-18 15:11:53,325:INFO:Checking exceptions
  7944. 2022-01-18 15:11:53,325:INFO:Importing libraries
  7945. 2022-01-18 15:11:53,325:INFO:Copying training dataset
  7946. 2022-01-18 15:11:53,328:INFO:Defining folds
  7947. 2022-01-18 15:11:53,328:INFO:Declaring metric variables
  7948. 2022-01-18 15:11:53,334:INFO:Importing untrained model
  7949. 2022-01-18 15:11:53,334:INFO:Declaring custom model
  7950. 2022-01-18 15:11:53,340:INFO:Random Forest Classifier Imported succesfully
  7951. 2022-01-18 15:11:53,351:INFO:Starting cross validation
  7952. 2022-01-18 15:11:53,352:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7953. 2022-01-18 15:12:14,789:INFO:Calculating mean and std
  7954. 2022-01-18 15:12:14,790:INFO:Creating metrics dataframe
  7955. 2022-01-18 15:12:14,797:INFO:Finalizing model
  7956. 2022-01-18 15:12:16,314:INFO:Uploading results into container
  7957. 2022-01-18 15:12:16,315:INFO:Uploading model into container now
  7958. 2022-01-18 15:12:16,315:INFO:create_model_container: 17
  7959. 2022-01-18 15:12:16,315:INFO:master_model_container: 17
  7960. 2022-01-18 15:12:16,315:INFO:display_container: 5
  7961. 2022-01-18 15:12:16,316:INFO:RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  7962. criterion='gini', max_depth=11, max_features=1.0,
  7963. max_leaf_nodes=None, max_samples=None,
  7964. min_impurity_decrease=0.0005, min_impurity_split=None,
  7965. min_samples_leaf=2, min_samples_split=5,
  7966. min_weight_fraction_leaf=0.0, n_estimators=240,
  7967. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7968. warm_start=False)
  7969. 2022-01-18 15:12:16,316:INFO:create_model() succesfully completed......................................
  7970. 2022-01-18 15:12:16,412:INFO:SubProcess create_model() end ==================================
  7971. 2022-01-18 15:12:16,423:INFO:create_model_container: 17
  7972. 2022-01-18 15:12:16,423:INFO:master_model_container: 17
  7973. 2022-01-18 15:12:16,423:INFO:display_container: 5
  7974. 2022-01-18 15:12:16,424:INFO:RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  7975. criterion='gini', max_depth=11, max_features=1.0,
  7976. max_leaf_nodes=None, max_samples=None,
  7977. min_impurity_decrease=0.0005, min_impurity_split=None,
  7978. min_samples_leaf=2, min_samples_split=5,
  7979. min_weight_fraction_leaf=0.0, n_estimators=240,
  7980. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7981. warm_start=False)
  7982. 2022-01-18 15:12:16,424:INFO:tune_model() succesfully completed......................................
  7983. 2022-01-18 15:13:14,147:INFO:PyCaret Supervised Module
  7984. 2022-01-18 15:13:14,148:INFO:ML Usecase: classification
  7985. 2022-01-18 15:13:14,148:INFO:version 2.3.6
  7986. 2022-01-18 15:13:14,148:INFO:Initializing setup()
  7987. 2022-01-18 15:13:14,148:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.1, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  7988. 2022-01-18 15:13:14,148:INFO:Checking environment
  7989. 2022-01-18 15:13:14,149:INFO:python_version: 3.8.8
  7990. 2022-01-18 15:13:14,149:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  7991. 2022-01-18 15:13:14,149:INFO:machine: x86_64
  7992. 2022-01-18 15:13:14,149:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  7993. 2022-01-18 15:13:14,149:INFO:Memory: svmem(total=33619935232, available=20244910080, percent=39.8, used=12524711936, free=17569738752, active=1295994880, inactive=14082088960, buffers=683974656, cached=2841509888, shared=383741952, slab=326787072)
  7994. 2022-01-18 15:13:14,150:INFO:Physical Core: 16
  7995. 2022-01-18 15:13:14,150:INFO:Logical Core: 32
  7996. 2022-01-18 15:13:14,150:INFO:Checking libraries
  7997. 2022-01-18 15:13:14,150:INFO:pd==1.2.4
  7998. 2022-01-18 15:13:14,151:INFO:numpy==1.19.5
  7999. 2022-01-18 15:13:14,151:INFO:sklearn==0.23.2
  8000. 2022-01-18 15:13:14,151:INFO:lightgbm==3.3.2
  8001. 2022-01-18 15:13:14,151:WARNING:catboost not found
  8002. 2022-01-18 15:13:14,152:WARNING:xgboost not found
  8003. 2022-01-18 15:13:14,152:INFO:mlflow==1.22.0
  8004. 2022-01-18 15:13:14,152:INFO:Checking Exceptions
  8005. 2022-01-18 15:13:14,153:INFO:Declaring global variables
  8006. 2022-01-18 15:13:14,153:INFO:USI: c638
  8007. 2022-01-18 15:13:14,153:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  8008. 2022-01-18 15:13:14,153:INFO:Preparing display monitor
  8009. 2022-01-18 15:13:14,153:INFO:Preparing display monitor
  8010. 2022-01-18 15:13:14,161:INFO:Importing libraries
  8011. 2022-01-18 15:13:14,161:INFO:Copying data for preprocessing
  8012. 2022-01-18 15:13:14,166:INFO:Declaring preprocessing parameters
  8013. 2022-01-18 15:13:14,167:WARNING:cuML not found
  8014. 2022-01-18 15:13:14,168:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  8015. 2022-01-18 15:13:14,171:INFO:Creating preprocessing pipeline
  8016. 2022-01-18 15:13:14,202:INFO:Preprocessing pipeline created successfully
  8017. 2022-01-18 15:13:14,202:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  8018. 2022-01-18 15:13:14,202:INFO:Creating global containers
  8019. 2022-01-18 15:13:14,203:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  8020. 2022-01-18 15:13:19,745:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8021. 2022-01-18 15:13:19,775:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8022. 2022-01-18 15:13:19,776:WARNING:Couldn't import cuml.MBSGDClassifier
  8023. 2022-01-18 15:13:19,776:WARNING:Couldn't import cuml.svm.SVC
  8024. 2022-01-18 15:13:19,791:WARNING:Couldn't import cuml.linear_model
  8025. 2022-01-18 15:13:19,795:WARNING:Couldn't import cuml.ensemble
  8026. 2022-01-18 15:13:19,796:WARNING:Couldn't import xgboost.XGBClassifier
  8027. 2022-01-18 15:13:19,799:WARNING:Couldn't import catboost.CatBoostClassifier
  8028. 2022-01-18 15:13:19,799:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8029. 2022-01-18 15:13:19,830:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8030. 2022-01-18 15:13:19,831:WARNING:Couldn't import cuml.MBSGDClassifier
  8031. 2022-01-18 15:13:19,832:WARNING:Couldn't import cuml.svm.SVC
  8032. 2022-01-18 15:13:19,847:WARNING:Couldn't import cuml.linear_model
  8033. 2022-01-18 15:13:19,850:WARNING:Couldn't import cuml.ensemble
  8034. 2022-01-18 15:13:19,852:WARNING:Couldn't import xgboost.XGBClassifier
  8035. 2022-01-18 15:13:19,856:WARNING:Couldn't import catboost.CatBoostClassifier
  8036. 2022-01-18 15:13:19,857:INFO:Creating grid variables
  8037. 2022-01-18 15:13:19,870:INFO:create_model_container: 0
  8038. 2022-01-18 15:13:19,871:INFO:master_model_container: 0
  8039. 2022-01-18 15:13:19,871:INFO:display_container: 1
  8040. 2022-01-18 15:13:19,874:INFO:Pipeline(memory=None,
  8041. steps=[('dtypes',
  8042. DataTypes_Auto_infer(categorical_features=[],
  8043. display_types=True, features_todrop=[],
  8044. id_columns=[],
  8045. ml_usecase='classification',
  8046. numerical_features=[], target='label',
  8047. time_features=[])),
  8048. ('imputer',
  8049. Simple_Imputer(categorical_strategy='not_available',
  8050. fill_value_categorical=None,
  8051. fill_value_numerical=None,
  8052. numeric_strate...
  8053. ('fix_perfect', Remove_100(target='label')),
  8054. ('clean_names', Clean_Colum_Names()),
  8055. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  8056. ('dfs',
  8057. DFS_Classic(interactions=['multiply', 'divide'],
  8058. ml_usecase='classification', n_jobs=-1,
  8059. random_state=654, subclass='binary',
  8060. target='label',
  8061. top_features_to_pick_percentage=None)),
  8062. ('pca', 'passthrough')],
  8063. verbose=False)
  8064. 2022-01-18 15:13:19,874:INFO:setup() succesfully completed......................................
  8065. 2022-01-18 15:13:54,849:INFO:PyCaret Supervised Module
  8066. 2022-01-18 15:13:54,850:INFO:ML Usecase: classification
  8067. 2022-01-18 15:13:54,850:INFO:version 2.3.6
  8068. 2022-01-18 15:13:54,850:INFO:Initializing setup()
  8069. 2022-01-18 15:13:54,850:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  8070. 2022-01-18 15:13:54,851:INFO:Checking environment
  8071. 2022-01-18 15:13:54,851:INFO:python_version: 3.8.8
  8072. 2022-01-18 15:13:54,851:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  8073. 2022-01-18 15:13:54,851:INFO:machine: x86_64
  8074. 2022-01-18 15:13:54,851:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  8075. 2022-01-18 15:13:54,851:INFO:Memory: svmem(total=33619935232, available=20177162240, percent=40.0, used=12592431104, free=17504124928, active=1296068608, inactive=14146760704, buffers=684048384, cached=2839330816, shared=383741952, slab=326754304)
  8076. 2022-01-18 15:13:54,852:INFO:Physical Core: 16
  8077. 2022-01-18 15:13:54,852:INFO:Logical Core: 32
  8078. 2022-01-18 15:13:54,852:INFO:Checking libraries
  8079. 2022-01-18 15:13:54,853:INFO:pd==1.2.4
  8080. 2022-01-18 15:13:54,853:INFO:numpy==1.19.5
  8081. 2022-01-18 15:13:54,853:INFO:sklearn==0.23.2
  8082. 2022-01-18 15:13:54,853:INFO:lightgbm==3.3.2
  8083. 2022-01-18 15:13:54,853:WARNING:catboost not found
  8084. 2022-01-18 15:13:54,854:WARNING:xgboost not found
  8085. 2022-01-18 15:13:54,854:INFO:mlflow==1.22.0
  8086. 2022-01-18 15:13:54,854:INFO:Checking Exceptions
  8087. 2022-01-18 15:13:54,854:INFO:Declaring global variables
  8088. 2022-01-18 15:13:54,854:INFO:USI: 3c9d
  8089. 2022-01-18 15:13:54,855:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  8090. 2022-01-18 15:13:54,855:INFO:Preparing display monitor
  8091. 2022-01-18 15:13:54,855:INFO:Preparing display monitor
  8092. 2022-01-18 15:13:54,862:INFO:Importing libraries
  8093. 2022-01-18 15:13:54,862:INFO:Copying data for preprocessing
  8094. 2022-01-18 15:13:54,868:INFO:Declaring preprocessing parameters
  8095. 2022-01-18 15:13:54,869:WARNING:cuML not found
  8096. 2022-01-18 15:13:54,869:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  8097. 2022-01-18 15:13:54,872:INFO:Creating preprocessing pipeline
  8098. 2022-01-18 15:13:54,901:INFO:Preprocessing pipeline created successfully
  8099. 2022-01-18 15:13:54,901:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  8100. 2022-01-18 15:13:54,902:INFO:Creating global containers
  8101. 2022-01-18 15:13:54,902:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  8102. 2022-01-18 15:13:59,373:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8103. 2022-01-18 15:13:59,401:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8104. 2022-01-18 15:13:59,402:WARNING:Couldn't import cuml.MBSGDClassifier
  8105. 2022-01-18 15:13:59,403:WARNING:Couldn't import cuml.svm.SVC
  8106. 2022-01-18 15:13:59,417:WARNING:Couldn't import cuml.linear_model
  8107. 2022-01-18 15:13:59,421:WARNING:Couldn't import cuml.ensemble
  8108. 2022-01-18 15:13:59,422:WARNING:Couldn't import xgboost.XGBClassifier
  8109. 2022-01-18 15:13:59,425:WARNING:Couldn't import catboost.CatBoostClassifier
  8110. 2022-01-18 15:13:59,426:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8111. 2022-01-18 15:13:59,458:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8112. 2022-01-18 15:13:59,459:WARNING:Couldn't import cuml.MBSGDClassifier
  8113. 2022-01-18 15:13:59,460:WARNING:Couldn't import cuml.svm.SVC
  8114. 2022-01-18 15:13:59,474:WARNING:Couldn't import cuml.linear_model
  8115. 2022-01-18 15:13:59,477:WARNING:Couldn't import cuml.ensemble
  8116. 2022-01-18 15:13:59,479:WARNING:Couldn't import xgboost.XGBClassifier
  8117. 2022-01-18 15:13:59,484:WARNING:Couldn't import catboost.CatBoostClassifier
  8118. 2022-01-18 15:13:59,485:INFO:Creating grid variables
  8119. 2022-01-18 15:13:59,498:INFO:create_model_container: 0
  8120. 2022-01-18 15:13:59,499:INFO:master_model_container: 0
  8121. 2022-01-18 15:13:59,499:INFO:display_container: 1
  8122. 2022-01-18 15:13:59,502:INFO:Pipeline(memory=None,
  8123. steps=[('dtypes',
  8124. DataTypes_Auto_infer(categorical_features=[],
  8125. display_types=True, features_todrop=[],
  8126. id_columns=[],
  8127. ml_usecase='classification',
  8128. numerical_features=[], target='label',
  8129. time_features=[])),
  8130. ('imputer',
  8131. Simple_Imputer(categorical_strategy='not_available',
  8132. fill_value_categorical=None,
  8133. fill_value_numerical=None,
  8134. numeric_strate...
  8135. ('fix_perfect', Remove_100(target='label')),
  8136. ('clean_names', Clean_Colum_Names()),
  8137. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  8138. ('dfs',
  8139. DFS_Classic(interactions=['multiply', 'divide'],
  8140. ml_usecase='classification', n_jobs=-1,
  8141. random_state=4084, subclass='binary',
  8142. target='label',
  8143. top_features_to_pick_percentage=None)),
  8144. ('pca', 'passthrough')],
  8145. verbose=False)
  8146. 2022-01-18 15:13:59,502:INFO:setup() succesfully completed......................................
  8147. 2022-01-18 15:14:05,396:INFO:Initializing compare_models()
  8148. 2022-01-18 15:14:05,397:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  8149. 2022-01-18 15:14:05,397:INFO:Checking exceptions
  8150. 2022-01-18 15:14:05,398:INFO:Preparing display monitor
  8151. 2022-01-18 15:14:05,398:INFO:Preparing display monitor
  8152. 2022-01-18 15:14:05,414:INFO:Initializing Logistic Regression
  8153. 2022-01-18 15:14:05,414:INFO:Total runtime is 5.638599395751953e-06 minutes
  8154. 2022-01-18 15:14:05,420:INFO:SubProcess create_model() called ==================================
  8155. 2022-01-18 15:14:05,420:INFO:Initializing create_model()
  8156. 2022-01-18 15:14:05,421:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8157. 2022-01-18 15:14:05,421:INFO:Checking exceptions
  8158. 2022-01-18 15:14:05,421:INFO:Importing libraries
  8159. 2022-01-18 15:14:05,421:INFO:Copying training dataset
  8160. 2022-01-18 15:14:05,423:INFO:Defining folds
  8161. 2022-01-18 15:14:05,423:INFO:Declaring metric variables
  8162. 2022-01-18 15:14:05,428:INFO:Importing untrained model
  8163. 2022-01-18 15:14:05,433:INFO:Logistic Regression Imported succesfully
  8164. 2022-01-18 15:14:05,443:INFO:Starting cross validation
  8165. 2022-01-18 15:14:05,444:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8166. 2022-01-18 15:14:41,073:INFO:Calculating mean and std
  8167. 2022-01-18 15:14:41,074:INFO:Creating metrics dataframe
  8168. 2022-01-18 15:14:41,080:INFO:Uploading results into container
  8169. 2022-01-18 15:14:41,081:INFO:Uploading model into container now
  8170. 2022-01-18 15:14:41,083:INFO:create_model_container: 1
  8171. 2022-01-18 15:14:41,087:INFO:master_model_container: 1
  8172. 2022-01-18 15:14:41,087:INFO:display_container: 2
  8173. 2022-01-18 15:14:41,088:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  8174. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  8175. multi_class='auto', n_jobs=None, penalty='l2',
  8176. random_state=4084, solver='lbfgs', tol=0.0001, verbose=0,
  8177. warm_start=False)
  8178. 2022-01-18 15:14:41,088:INFO:create_model() succesfully completed......................................
  8179. 2022-01-18 15:14:41,176:INFO:SubProcess create_model() end ==================================
  8180. 2022-01-18 15:14:41,176:INFO:Creating metrics dataframe
  8181. 2022-01-18 15:14:41,186:INFO:Initializing K Neighbors Classifier
  8182. 2022-01-18 15:14:41,186:INFO:Total runtime is 0.5961978197097778 minutes
  8183. 2022-01-18 15:14:41,191:INFO:SubProcess create_model() called ==================================
  8184. 2022-01-18 15:14:41,191:INFO:Initializing create_model()
  8185. 2022-01-18 15:14:41,191:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8186. 2022-01-18 15:14:41,192:INFO:Checking exceptions
  8187. 2022-01-18 15:14:41,192:INFO:Importing libraries
  8188. 2022-01-18 15:14:41,192:INFO:Copying training dataset
  8189. 2022-01-18 15:14:41,193:INFO:Defining folds
  8190. 2022-01-18 15:14:41,194:INFO:Declaring metric variables
  8191. 2022-01-18 15:14:41,198:INFO:Importing untrained model
  8192. 2022-01-18 15:14:41,203:INFO:K Neighbors Classifier Imported succesfully
  8193. 2022-01-18 15:14:41,213:INFO:Starting cross validation
  8194. 2022-01-18 15:14:41,214:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8195. 2022-01-18 15:14:47,283:INFO:Calculating mean and std
  8196. 2022-01-18 15:14:47,284:INFO:Creating metrics dataframe
  8197. 2022-01-18 15:14:47,287:INFO:Uploading results into container
  8198. 2022-01-18 15:14:47,287:INFO:Uploading model into container now
  8199. 2022-01-18 15:14:47,287:INFO:create_model_container: 2
  8200. 2022-01-18 15:14:47,288:INFO:master_model_container: 2
  8201. 2022-01-18 15:14:47,288:INFO:display_container: 2
  8202. 2022-01-18 15:14:47,288:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  8203. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  8204. weights='uniform')
  8205. 2022-01-18 15:14:47,288:INFO:create_model() succesfully completed......................................
  8206. 2022-01-18 15:14:47,362:INFO:SubProcess create_model() end ==================================
  8207. 2022-01-18 15:14:47,363:INFO:Creating metrics dataframe
  8208. 2022-01-18 15:14:47,373:INFO:Initializing Naive Bayes
  8209. 2022-01-18 15:14:47,373:INFO:Total runtime is 0.6993180314699808 minutes
  8210. 2022-01-18 15:14:47,378:INFO:SubProcess create_model() called ==================================
  8211. 2022-01-18 15:14:47,379:INFO:Initializing create_model()
  8212. 2022-01-18 15:14:47,379:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8213. 2022-01-18 15:14:47,379:INFO:Checking exceptions
  8214. 2022-01-18 15:14:47,379:INFO:Importing libraries
  8215. 2022-01-18 15:14:47,379:INFO:Copying training dataset
  8216. 2022-01-18 15:14:47,381:INFO:Defining folds
  8217. 2022-01-18 15:14:47,381:INFO:Declaring metric variables
  8218. 2022-01-18 15:14:47,387:INFO:Importing untrained model
  8219. 2022-01-18 15:14:47,391:INFO:Naive Bayes Imported succesfully
  8220. 2022-01-18 15:14:47,401:INFO:Starting cross validation
  8221. 2022-01-18 15:14:47,402:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8222. 2022-01-18 15:14:47,721:INFO:Calculating mean and std
  8223. 2022-01-18 15:14:47,722:INFO:Creating metrics dataframe
  8224. 2022-01-18 15:14:47,725:INFO:Uploading results into container
  8225. 2022-01-18 15:14:47,725:INFO:Uploading model into container now
  8226. 2022-01-18 15:14:47,725:INFO:create_model_container: 3
  8227. 2022-01-18 15:14:47,725:INFO:master_model_container: 3
  8228. 2022-01-18 15:14:47,726:INFO:display_container: 2
  8229. 2022-01-18 15:14:47,726:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  8230. 2022-01-18 15:14:47,726:INFO:create_model() succesfully completed......................................
  8231. 2022-01-18 15:14:47,799:INFO:SubProcess create_model() end ==================================
  8232. 2022-01-18 15:14:47,799:INFO:Creating metrics dataframe
  8233. 2022-01-18 15:14:47,810:INFO:Initializing Decision Tree Classifier
  8234. 2022-01-18 15:14:47,810:INFO:Total runtime is 0.7066030661265055 minutes
  8235. 2022-01-18 15:14:47,815:INFO:SubProcess create_model() called ==================================
  8236. 2022-01-18 15:14:47,816:INFO:Initializing create_model()
  8237. 2022-01-18 15:14:47,816:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8238. 2022-01-18 15:14:47,816:INFO:Checking exceptions
  8239. 2022-01-18 15:14:47,816:INFO:Importing libraries
  8240. 2022-01-18 15:14:47,816:INFO:Copying training dataset
  8241. 2022-01-18 15:14:47,818:INFO:Defining folds
  8242. 2022-01-18 15:14:47,818:INFO:Declaring metric variables
  8243. 2022-01-18 15:14:47,824:INFO:Importing untrained model
  8244. 2022-01-18 15:14:47,829:INFO:Decision Tree Classifier Imported succesfully
  8245. 2022-01-18 15:14:47,840:INFO:Starting cross validation
  8246. 2022-01-18 15:14:47,841:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8247. 2022-01-18 15:14:50,645:INFO:Calculating mean and std
  8248. 2022-01-18 15:14:50,646:INFO:Creating metrics dataframe
  8249. 2022-01-18 15:14:50,648:INFO:Uploading results into container
  8250. 2022-01-18 15:14:50,649:INFO:Uploading model into container now
  8251. 2022-01-18 15:14:50,649:INFO:create_model_container: 4
  8252. 2022-01-18 15:14:50,649:INFO:master_model_container: 4
  8253. 2022-01-18 15:14:50,649:INFO:display_container: 2
  8254. 2022-01-18 15:14:50,650:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  8255. max_depth=None, max_features=None, max_leaf_nodes=None,
  8256. min_impurity_decrease=0.0, min_impurity_split=None,
  8257. min_samples_leaf=1, min_samples_split=2,
  8258. min_weight_fraction_leaf=0.0, presort='deprecated',
  8259. random_state=4084, splitter='best')
  8260. 2022-01-18 15:14:50,650:INFO:create_model() succesfully completed......................................
  8261. 2022-01-18 15:14:50,721:INFO:SubProcess create_model() end ==================================
  8262. 2022-01-18 15:14:50,721:INFO:Creating metrics dataframe
  8263. 2022-01-18 15:14:50,732:INFO:Initializing SVM - Linear Kernel
  8264. 2022-01-18 15:14:50,733:INFO:Total runtime is 0.7553091088930766 minutes
  8265. 2022-01-18 15:14:50,738:INFO:SubProcess create_model() called ==================================
  8266. 2022-01-18 15:14:50,739:INFO:Initializing create_model()
  8267. 2022-01-18 15:14:50,739:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8268. 2022-01-18 15:14:50,739:INFO:Checking exceptions
  8269. 2022-01-18 15:14:50,739:INFO:Importing libraries
  8270. 2022-01-18 15:14:50,740:INFO:Copying training dataset
  8271. 2022-01-18 15:14:50,741:INFO:Defining folds
  8272. 2022-01-18 15:14:50,742:INFO:Declaring metric variables
  8273. 2022-01-18 15:14:50,747:INFO:Importing untrained model
  8274. 2022-01-18 15:14:50,753:INFO:SVM - Linear Kernel Imported succesfully
  8275. 2022-01-18 15:14:50,764:INFO:Starting cross validation
  8276. 2022-01-18 15:14:50,765:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8277. 2022-01-18 15:14:52,948:INFO:Calculating mean and std
  8278. 2022-01-18 15:14:52,949:INFO:Creating metrics dataframe
  8279. 2022-01-18 15:14:52,953:INFO:Uploading results into container
  8280. 2022-01-18 15:14:52,954:INFO:Uploading model into container now
  8281. 2022-01-18 15:14:52,955:INFO:create_model_container: 5
  8282. 2022-01-18 15:14:52,960:INFO:master_model_container: 5
  8283. 2022-01-18 15:14:52,961:INFO:display_container: 2
  8284. 2022-01-18 15:14:52,962:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  8285. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  8286. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  8287. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  8288. power_t=0.5, random_state=4084, shuffle=True, tol=0.001,
  8289. validation_fraction=0.1, verbose=0, warm_start=False)
  8290. 2022-01-18 15:14:52,962:INFO:create_model() succesfully completed......................................
  8291. 2022-01-18 15:14:53,064:INFO:SubProcess create_model() end ==================================
  8292. 2022-01-18 15:14:53,065:INFO:Creating metrics dataframe
  8293. 2022-01-18 15:14:53,077:INFO:Initializing Ridge Classifier
  8294. 2022-01-18 15:14:53,077:INFO:Total runtime is 0.7943800727526347 minutes
  8295. 2022-01-18 15:14:53,082:INFO:SubProcess create_model() called ==================================
  8296. 2022-01-18 15:14:53,082:INFO:Initializing create_model()
  8297. 2022-01-18 15:14:53,083:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8298. 2022-01-18 15:14:53,083:INFO:Checking exceptions
  8299. 2022-01-18 15:14:53,083:INFO:Importing libraries
  8300. 2022-01-18 15:14:53,083:INFO:Copying training dataset
  8301. 2022-01-18 15:14:53,085:INFO:Defining folds
  8302. 2022-01-18 15:14:53,085:INFO:Declaring metric variables
  8303. 2022-01-18 15:14:53,090:INFO:Importing untrained model
  8304. 2022-01-18 15:14:53,095:INFO:Ridge Classifier Imported succesfully
  8305. 2022-01-18 15:14:53,105:INFO:Starting cross validation
  8306. 2022-01-18 15:14:53,105:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8307. 2022-01-18 15:14:53,722:INFO:Calculating mean and std
  8308. 2022-01-18 15:14:53,723:INFO:Creating metrics dataframe
  8309. 2022-01-18 15:14:53,727:INFO:Uploading results into container
  8310. 2022-01-18 15:14:53,728:INFO:Uploading model into container now
  8311. 2022-01-18 15:14:53,730:INFO:create_model_container: 6
  8312. 2022-01-18 15:14:53,731:INFO:master_model_container: 6
  8313. 2022-01-18 15:14:53,734:INFO:display_container: 2
  8314. 2022-01-18 15:14:53,736:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  8315. max_iter=None, normalize=False, random_state=4084,
  8316. solver='auto', tol=0.001)
  8317. 2022-01-18 15:14:53,736:INFO:create_model() succesfully completed......................................
  8318. 2022-01-18 15:14:53,839:INFO:SubProcess create_model() end ==================================
  8319. 2022-01-18 15:14:53,839:INFO:Creating metrics dataframe
  8320. 2022-01-18 15:14:53,851:INFO:Initializing Random Forest Classifier
  8321. 2022-01-18 15:14:53,851:INFO:Total runtime is 0.8072850068410238 minutes
  8322. 2022-01-18 15:14:53,857:INFO:SubProcess create_model() called ==================================
  8323. 2022-01-18 15:14:53,857:INFO:Initializing create_model()
  8324. 2022-01-18 15:14:53,857:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8325. 2022-01-18 15:14:53,857:INFO:Checking exceptions
  8326. 2022-01-18 15:14:53,857:INFO:Importing libraries
  8327. 2022-01-18 15:14:53,858:INFO:Copying training dataset
  8328. 2022-01-18 15:14:53,859:INFO:Defining folds
  8329. 2022-01-18 15:14:53,859:INFO:Declaring metric variables
  8330. 2022-01-18 15:14:53,864:INFO:Importing untrained model
  8331. 2022-01-18 15:14:53,869:INFO:Random Forest Classifier Imported succesfully
  8332. 2022-01-18 15:14:53,879:INFO:Starting cross validation
  8333. 2022-01-18 15:14:53,880:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8334. 2022-01-18 15:15:00,996:INFO:Calculating mean and std
  8335. 2022-01-18 15:15:00,997:INFO:Creating metrics dataframe
  8336. 2022-01-18 15:15:00,999:INFO:Uploading results into container
  8337. 2022-01-18 15:15:00,999:INFO:Uploading model into container now
  8338. 2022-01-18 15:15:01,000:INFO:create_model_container: 7
  8339. 2022-01-18 15:15:01,000:INFO:master_model_container: 7
  8340. 2022-01-18 15:15:01,000:INFO:display_container: 2
  8341. 2022-01-18 15:15:01,001:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8342. criterion='gini', max_depth=None, max_features='auto',
  8343. max_leaf_nodes=None, max_samples=None,
  8344. min_impurity_decrease=0.0, min_impurity_split=None,
  8345. min_samples_leaf=1, min_samples_split=2,
  8346. min_weight_fraction_leaf=0.0, n_estimators=100,
  8347. n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
  8348. warm_start=False)
  8349. 2022-01-18 15:15:01,001:INFO:create_model() succesfully completed......................................
  8350. 2022-01-18 15:15:01,081:INFO:SubProcess create_model() end ==================================
  8351. 2022-01-18 15:15:01,081:INFO:Creating metrics dataframe
  8352. 2022-01-18 15:15:01,092:INFO:Initializing Quadratic Discriminant Analysis
  8353. 2022-01-18 15:15:01,092:INFO:Total runtime is 0.927973997592926 minutes
  8354. 2022-01-18 15:15:01,097:INFO:SubProcess create_model() called ==================================
  8355. 2022-01-18 15:15:01,098:INFO:Initializing create_model()
  8356. 2022-01-18 15:15:01,098:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8357. 2022-01-18 15:15:01,098:INFO:Checking exceptions
  8358. 2022-01-18 15:15:01,098:INFO:Importing libraries
  8359. 2022-01-18 15:15:01,098:INFO:Copying training dataset
  8360. 2022-01-18 15:15:01,100:INFO:Defining folds
  8361. 2022-01-18 15:15:01,100:INFO:Declaring metric variables
  8362. 2022-01-18 15:15:01,105:INFO:Importing untrained model
  8363. 2022-01-18 15:15:01,110:INFO:Quadratic Discriminant Analysis Imported succesfully
  8364. 2022-01-18 15:15:01,119:INFO:Starting cross validation
  8365. 2022-01-18 15:15:01,120:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8366. 2022-01-18 15:15:02,652:INFO:Calculating mean and std
  8367. 2022-01-18 15:15:02,653:INFO:Creating metrics dataframe
  8368. 2022-01-18 15:15:02,657:INFO:Uploading results into container
  8369. 2022-01-18 15:15:02,658:INFO:Uploading model into container now
  8370. 2022-01-18 15:15:02,658:INFO:create_model_container: 8
  8371. 2022-01-18 15:15:02,658:INFO:master_model_container: 8
  8372. 2022-01-18 15:15:02,658:INFO:display_container: 2
  8373. 2022-01-18 15:15:02,659:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  8374. store_covariance=False, tol=0.0001)
  8375. 2022-01-18 15:15:02,659:INFO:create_model() succesfully completed......................................
  8376. 2022-01-18 15:15:02,748:INFO:SubProcess create_model() end ==================================
  8377. 2022-01-18 15:15:02,749:INFO:Creating metrics dataframe
  8378. 2022-01-18 15:15:02,761:INFO:Initializing Ada Boost Classifier
  8379. 2022-01-18 15:15:02,761:INFO:Total runtime is 0.9557802319526671 minutes
  8380. 2022-01-18 15:15:02,766:INFO:SubProcess create_model() called ==================================
  8381. 2022-01-18 15:15:02,766:INFO:Initializing create_model()
  8382. 2022-01-18 15:15:02,767:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8383. 2022-01-18 15:15:02,767:INFO:Checking exceptions
  8384. 2022-01-18 15:15:02,767:INFO:Importing libraries
  8385. 2022-01-18 15:15:02,767:INFO:Copying training dataset
  8386. 2022-01-18 15:15:02,769:INFO:Defining folds
  8387. 2022-01-18 15:15:02,769:INFO:Declaring metric variables
  8388. 2022-01-18 15:15:02,774:INFO:Importing untrained model
  8389. 2022-01-18 15:15:02,779:INFO:Ada Boost Classifier Imported succesfully
  8390. 2022-01-18 15:15:02,790:INFO:Starting cross validation
  8391. 2022-01-18 15:15:02,790:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8392. 2022-01-18 15:15:17,483:INFO:Calculating mean and std
  8393. 2022-01-18 15:15:17,484:INFO:Creating metrics dataframe
  8394. 2022-01-18 15:15:17,487:INFO:Uploading results into container
  8395. 2022-01-18 15:15:17,487:INFO:Uploading model into container now
  8396. 2022-01-18 15:15:17,487:INFO:create_model_container: 9
  8397. 2022-01-18 15:15:17,487:INFO:master_model_container: 9
  8398. 2022-01-18 15:15:17,488:INFO:display_container: 2
  8399. 2022-01-18 15:15:17,488:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  8400. n_estimators=50, random_state=4084)
  8401. 2022-01-18 15:15:17,488:INFO:create_model() succesfully completed......................................
  8402. 2022-01-18 15:15:17,561:INFO:SubProcess create_model() end ==================================
  8403. 2022-01-18 15:15:17,561:INFO:Creating metrics dataframe
  8404. 2022-01-18 15:15:17,573:INFO:Initializing Gradient Boosting Classifier
  8405. 2022-01-18 15:15:17,573:INFO:Total runtime is 1.2026562372843423 minutes
  8406. 2022-01-18 15:15:17,579:INFO:SubProcess create_model() called ==================================
  8407. 2022-01-18 15:15:17,579:INFO:Initializing create_model()
  8408. 2022-01-18 15:15:17,579:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8409. 2022-01-18 15:15:17,579:INFO:Checking exceptions
  8410. 2022-01-18 15:15:17,580:INFO:Importing libraries
  8411. 2022-01-18 15:15:17,580:INFO:Copying training dataset
  8412. 2022-01-18 15:15:17,581:INFO:Defining folds
  8413. 2022-01-18 15:15:17,581:INFO:Declaring metric variables
  8414. 2022-01-18 15:15:17,587:INFO:Importing untrained model
  8415. 2022-01-18 15:15:17,592:INFO:Gradient Boosting Classifier Imported succesfully
  8416. 2022-01-18 15:15:17,604:INFO:Starting cross validation
  8417. 2022-01-18 15:15:17,604:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8418. 2022-01-18 15:16:20,030:INFO:Calculating mean and std
  8419. 2022-01-18 15:16:20,031:INFO:Creating metrics dataframe
  8420. 2022-01-18 15:16:20,034:INFO:Uploading results into container
  8421. 2022-01-18 15:16:20,034:INFO:Uploading model into container now
  8422. 2022-01-18 15:16:20,034:INFO:create_model_container: 10
  8423. 2022-01-18 15:16:20,034:INFO:master_model_container: 10
  8424. 2022-01-18 15:16:20,035:INFO:display_container: 2
  8425. 2022-01-18 15:16:20,035:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  8426. learning_rate=0.1, loss='deviance', max_depth=3,
  8427. max_features=None, max_leaf_nodes=None,
  8428. min_impurity_decrease=0.0, min_impurity_split=None,
  8429. min_samples_leaf=1, min_samples_split=2,
  8430. min_weight_fraction_leaf=0.0, n_estimators=100,
  8431. n_iter_no_change=None, presort='deprecated',
  8432. random_state=4084, subsample=1.0, tol=0.0001,
  8433. validation_fraction=0.1, verbose=0,
  8434. warm_start=False)
  8435. 2022-01-18 15:16:20,035:INFO:create_model() succesfully completed......................................
  8436. 2022-01-18 15:16:20,117:INFO:SubProcess create_model() end ==================================
  8437. 2022-01-18 15:16:20,117:INFO:Creating metrics dataframe
  8438. 2022-01-18 15:16:20,129:INFO:Initializing Linear Discriminant Analysis
  8439. 2022-01-18 15:16:20,130:INFO:Total runtime is 2.2452584147453307 minutes
  8440. 2022-01-18 15:16:20,135:INFO:SubProcess create_model() called ==================================
  8441. 2022-01-18 15:16:20,135:INFO:Initializing create_model()
  8442. 2022-01-18 15:16:20,135:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8443. 2022-01-18 15:16:20,136:INFO:Checking exceptions
  8444. 2022-01-18 15:16:20,136:INFO:Importing libraries
  8445. 2022-01-18 15:16:20,136:INFO:Copying training dataset
  8446. 2022-01-18 15:16:20,137:INFO:Defining folds
  8447. 2022-01-18 15:16:20,138:INFO:Declaring metric variables
  8448. 2022-01-18 15:16:20,143:INFO:Importing untrained model
  8449. 2022-01-18 15:16:20,147:INFO:Linear Discriminant Analysis Imported succesfully
  8450. 2022-01-18 15:16:20,158:INFO:Starting cross validation
  8451. 2022-01-18 15:16:20,158:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8452. 2022-01-18 15:16:22,678:INFO:Calculating mean and std
  8453. 2022-01-18 15:16:22,680:INFO:Creating metrics dataframe
  8454. 2022-01-18 15:16:22,684:INFO:Uploading results into container
  8455. 2022-01-18 15:16:22,685:INFO:Uploading model into container now
  8456. 2022-01-18 15:16:22,686:INFO:create_model_container: 11
  8457. 2022-01-18 15:16:22,686:INFO:master_model_container: 11
  8458. 2022-01-18 15:16:22,686:INFO:display_container: 2
  8459. 2022-01-18 15:16:22,687:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  8460. solver='svd', store_covariance=False, tol=0.0001)
  8461. 2022-01-18 15:16:22,687:INFO:create_model() succesfully completed......................................
  8462. 2022-01-18 15:16:22,776:INFO:SubProcess create_model() end ==================================
  8463. 2022-01-18 15:16:22,776:INFO:Creating metrics dataframe
  8464. 2022-01-18 15:16:22,789:INFO:Initializing Extra Trees Classifier
  8465. 2022-01-18 15:16:22,790:INFO:Total runtime is 2.289591606458028 minutes
  8466. 2022-01-18 15:16:22,795:INFO:SubProcess create_model() called ==================================
  8467. 2022-01-18 15:16:22,795:INFO:Initializing create_model()
  8468. 2022-01-18 15:16:22,795:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8469. 2022-01-18 15:16:22,796:INFO:Checking exceptions
  8470. 2022-01-18 15:16:22,796:INFO:Importing libraries
  8471. 2022-01-18 15:16:22,796:INFO:Copying training dataset
  8472. 2022-01-18 15:16:22,798:INFO:Defining folds
  8473. 2022-01-18 15:16:22,798:INFO:Declaring metric variables
  8474. 2022-01-18 15:16:22,803:INFO:Importing untrained model
  8475. 2022-01-18 15:16:22,808:INFO:Extra Trees Classifier Imported succesfully
  8476. 2022-01-18 15:16:22,818:INFO:Starting cross validation
  8477. 2022-01-18 15:16:22,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8478. 2022-01-18 15:16:29,748:INFO:Calculating mean and std
  8479. 2022-01-18 15:16:29,749:INFO:Creating metrics dataframe
  8480. 2022-01-18 15:16:29,752:INFO:Uploading results into container
  8481. 2022-01-18 15:16:29,752:INFO:Uploading model into container now
  8482. 2022-01-18 15:16:29,752:INFO:create_model_container: 12
  8483. 2022-01-18 15:16:29,753:INFO:master_model_container: 12
  8484. 2022-01-18 15:16:29,753:INFO:display_container: 2
  8485. 2022-01-18 15:16:29,753:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  8486. criterion='gini', max_depth=None, max_features='auto',
  8487. max_leaf_nodes=None, max_samples=None,
  8488. min_impurity_decrease=0.0, min_impurity_split=None,
  8489. min_samples_leaf=1, min_samples_split=2,
  8490. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  8491. oob_score=False, random_state=4084, verbose=0,
  8492. warm_start=False)
  8493. 2022-01-18 15:16:29,753:INFO:create_model() succesfully completed......................................
  8494. 2022-01-18 15:16:29,842:INFO:SubProcess create_model() end ==================================
  8495. 2022-01-18 15:16:29,843:INFO:Creating metrics dataframe
  8496. 2022-01-18 15:16:29,856:INFO:Initializing Light Gradient Boosting Machine
  8497. 2022-01-18 15:16:29,856:INFO:Total runtime is 2.4073742190996805 minutes
  8498. 2022-01-18 15:16:29,862:INFO:SubProcess create_model() called ==================================
  8499. 2022-01-18 15:16:29,862:INFO:Initializing create_model()
  8500. 2022-01-18 15:16:29,862:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8501. 2022-01-18 15:16:29,862:INFO:Checking exceptions
  8502. 2022-01-18 15:16:29,863:INFO:Importing libraries
  8503. 2022-01-18 15:16:29,863:INFO:Copying training dataset
  8504. 2022-01-18 15:16:29,864:INFO:Defining folds
  8505. 2022-01-18 15:16:29,864:INFO:Declaring metric variables
  8506. 2022-01-18 15:16:29,869:INFO:Importing untrained model
  8507. 2022-01-18 15:16:29,875:INFO:Light Gradient Boosting Machine Imported succesfully
  8508. 2022-01-18 15:16:29,886:INFO:Starting cross validation
  8509. 2022-01-18 15:16:29,886:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8510. 2022-01-18 15:16:35,728:INFO:Calculating mean and std
  8511. 2022-01-18 15:16:35,729:INFO:Creating metrics dataframe
  8512. 2022-01-18 15:16:35,732:INFO:Uploading results into container
  8513. 2022-01-18 15:16:35,732:INFO:Uploading model into container now
  8514. 2022-01-18 15:16:35,732:INFO:create_model_container: 13
  8515. 2022-01-18 15:16:35,732:INFO:master_model_container: 13
  8516. 2022-01-18 15:16:35,733:INFO:display_container: 2
  8517. 2022-01-18 15:16:35,733:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  8518. importance_type='split', learning_rate=0.1, max_depth=-1,
  8519. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  8520. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  8521. random_state=4084, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  8522. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  8523. 2022-01-18 15:16:35,733:INFO:create_model() succesfully completed......................................
  8524. 2022-01-18 15:16:35,811:INFO:SubProcess create_model() end ==================================
  8525. 2022-01-18 15:16:35,812:INFO:Creating metrics dataframe
  8526. 2022-01-18 15:16:35,825:INFO:Initializing Dummy Classifier
  8527. 2022-01-18 15:16:35,825:INFO:Total runtime is 2.506855265299479 minutes
  8528. 2022-01-18 15:16:35,831:INFO:SubProcess create_model() called ==================================
  8529. 2022-01-18 15:16:35,831:INFO:Initializing create_model()
  8530. 2022-01-18 15:16:35,831:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8531. 2022-01-18 15:16:35,831:INFO:Checking exceptions
  8532. 2022-01-18 15:16:35,832:INFO:Importing libraries
  8533. 2022-01-18 15:16:35,832:INFO:Copying training dataset
  8534. 2022-01-18 15:16:35,834:INFO:Defining folds
  8535. 2022-01-18 15:16:35,834:INFO:Declaring metric variables
  8536. 2022-01-18 15:16:35,839:INFO:Importing untrained model
  8537. 2022-01-18 15:16:35,844:INFO:Dummy Classifier Imported succesfully
  8538. 2022-01-18 15:16:35,854:INFO:Starting cross validation
  8539. 2022-01-18 15:16:35,855:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8540. 2022-01-18 15:16:35,986:INFO:Calculating mean and std
  8541. 2022-01-18 15:16:35,987:INFO:Creating metrics dataframe
  8542. 2022-01-18 15:16:35,990:INFO:Uploading results into container
  8543. 2022-01-18 15:16:35,990:INFO:Uploading model into container now
  8544. 2022-01-18 15:16:35,990:INFO:create_model_container: 14
  8545. 2022-01-18 15:16:35,990:INFO:master_model_container: 14
  8546. 2022-01-18 15:16:35,990:INFO:display_container: 2
  8547. 2022-01-18 15:16:35,991:INFO:DummyClassifier(constant=None, random_state=4084, strategy='prior')
  8548. 2022-01-18 15:16:35,991:INFO:create_model() succesfully completed......................................
  8549. 2022-01-18 15:16:36,072:INFO:SubProcess create_model() end ==================================
  8550. 2022-01-18 15:16:36,073:INFO:Creating metrics dataframe
  8551. 2022-01-18 15:16:36,100:INFO:Initializing create_model()
  8552. 2022-01-18 15:16:36,100:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8553. criterion='gini', max_depth=None, max_features='auto',
  8554. max_leaf_nodes=None, max_samples=None,
  8555. min_impurity_decrease=0.0, min_impurity_split=None,
  8556. min_samples_leaf=1, min_samples_split=2,
  8557. min_weight_fraction_leaf=0.0, n_estimators=100,
  8558. n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
  8559. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  8560. 2022-01-18 15:16:36,100:INFO:Checking exceptions
  8561. 2022-01-18 15:16:36,101:INFO:Importing libraries
  8562. 2022-01-18 15:16:36,101:INFO:Copying training dataset
  8563. 2022-01-18 15:16:36,102:INFO:Defining folds
  8564. 2022-01-18 15:16:36,103:INFO:Declaring metric variables
  8565. 2022-01-18 15:16:36,103:INFO:Importing untrained model
  8566. 2022-01-18 15:16:36,103:INFO:Declaring custom model
  8567. 2022-01-18 15:16:36,104:INFO:Random Forest Classifier Imported succesfully
  8568. 2022-01-18 15:16:36,104:INFO:Cross validation set to False
  8569. 2022-01-18 15:16:36,104:INFO:Fitting Model
  8570. 2022-01-18 15:16:36,529:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8571. criterion='gini', max_depth=None, max_features='auto',
  8572. max_leaf_nodes=None, max_samples=None,
  8573. min_impurity_decrease=0.0, min_impurity_split=None,
  8574. min_samples_leaf=1, min_samples_split=2,
  8575. min_weight_fraction_leaf=0.0, n_estimators=100,
  8576. n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
  8577. warm_start=False)
  8578. 2022-01-18 15:16:36,529:INFO:create_models() succesfully completed......................................
  8579. 2022-01-18 15:16:36,635:INFO:create_model_container: 14
  8580. 2022-01-18 15:16:36,636:INFO:master_model_container: 14
  8581. 2022-01-18 15:16:36,636:INFO:display_container: 2
  8582. 2022-01-18 15:16:36,636:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8583. criterion='gini', max_depth=None, max_features='auto',
  8584. max_leaf_nodes=None, max_samples=None,
  8585. min_impurity_decrease=0.0, min_impurity_split=None,
  8586. min_samples_leaf=1, min_samples_split=2,
  8587. min_weight_fraction_leaf=0.0, n_estimators=100,
  8588. n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
  8589. warm_start=False)
  8590. 2022-01-18 15:16:36,636:INFO:compare_models() succesfully completed......................................
  8591. 2022-01-18 15:17:05,159:INFO:PyCaret Supervised Module
  8592. 2022-01-18 15:17:05,159:INFO:ML Usecase: classification
  8593. 2022-01-18 15:17:05,159:INFO:version 2.3.6
  8594. 2022-01-18 15:17:05,159:INFO:Initializing setup()
  8595. 2022-01-18 15:17:05,160:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  8596. 2022-01-18 15:17:05,160:INFO:Checking environment
  8597. 2022-01-18 15:17:05,160:INFO:python_version: 3.8.8
  8598. 2022-01-18 15:17:05,160:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  8599. 2022-01-18 15:17:05,160:INFO:machine: x86_64
  8600. 2022-01-18 15:17:05,160:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  8601. 2022-01-18 15:17:05,161:INFO:Memory: svmem(total=33619935232, available=20268515328, percent=39.7, used=12500918272, free=17588752384, active=1296396288, inactive=14060224512, buffers=684359680, cached=2845904896, shared=383741952, slab=326909952)
  8602. 2022-01-18 15:17:05,162:INFO:Physical Core: 16
  8603. 2022-01-18 15:17:05,162:INFO:Logical Core: 32
  8604. 2022-01-18 15:17:05,162:INFO:Checking libraries
  8605. 2022-01-18 15:17:05,162:INFO:pd==1.2.4
  8606. 2022-01-18 15:17:05,162:INFO:numpy==1.19.5
  8607. 2022-01-18 15:17:05,162:INFO:sklearn==0.23.2
  8608. 2022-01-18 15:17:05,163:INFO:lightgbm==3.3.2
  8609. 2022-01-18 15:17:05,163:WARNING:catboost not found
  8610. 2022-01-18 15:17:05,164:WARNING:xgboost not found
  8611. 2022-01-18 15:17:05,164:INFO:mlflow==1.22.0
  8612. 2022-01-18 15:17:05,164:INFO:Checking Exceptions
  8613. 2022-01-18 15:17:05,164:INFO:Declaring global variables
  8614. 2022-01-18 15:17:05,164:INFO:USI: 7a56
  8615. 2022-01-18 15:17:05,165:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  8616. 2022-01-18 15:17:05,165:INFO:Preparing display monitor
  8617. 2022-01-18 15:17:05,165:INFO:Preparing display monitor
  8618. 2022-01-18 15:17:05,176:INFO:Importing libraries
  8619. 2022-01-18 15:17:05,176:INFO:Copying data for preprocessing
  8620. 2022-01-18 15:17:05,184:INFO:Declaring preprocessing parameters
  8621. 2022-01-18 15:17:05,184:WARNING:cuML not found
  8622. 2022-01-18 15:17:05,185:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  8623. 2022-01-18 15:17:05,191:INFO:Creating preprocessing pipeline
  8624. 2022-01-18 15:17:05,235:INFO:Preprocessing pipeline created successfully
  8625. 2022-01-18 15:17:05,236:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  8626. 2022-01-18 15:17:05,236:INFO:Creating global containers
  8627. 2022-01-18 15:17:05,236:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  8628. 2022-01-18 15:17:10,966:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8629. 2022-01-18 15:17:10,996:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8630. 2022-01-18 15:17:10,997:WARNING:Couldn't import cuml.MBSGDClassifier
  8631. 2022-01-18 15:17:10,998:WARNING:Couldn't import cuml.svm.SVC
  8632. 2022-01-18 15:17:11,012:WARNING:Couldn't import cuml.linear_model
  8633. 2022-01-18 15:17:11,016:WARNING:Couldn't import cuml.ensemble
  8634. 2022-01-18 15:17:11,017:WARNING:Couldn't import xgboost.XGBClassifier
  8635. 2022-01-18 15:17:11,021:WARNING:Couldn't import catboost.CatBoostClassifier
  8636. 2022-01-18 15:17:11,022:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8637. 2022-01-18 15:17:11,053:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8638. 2022-01-18 15:17:11,054:WARNING:Couldn't import cuml.MBSGDClassifier
  8639. 2022-01-18 15:17:11,055:WARNING:Couldn't import cuml.svm.SVC
  8640. 2022-01-18 15:17:11,069:WARNING:Couldn't import cuml.linear_model
  8641. 2022-01-18 15:17:11,073:WARNING:Couldn't import cuml.ensemble
  8642. 2022-01-18 15:17:11,074:WARNING:Couldn't import xgboost.XGBClassifier
  8643. 2022-01-18 15:17:11,077:WARNING:Couldn't import catboost.CatBoostClassifier
  8644. 2022-01-18 15:17:11,077:INFO:Creating grid variables
  8645. 2022-01-18 15:17:11,091:INFO:create_model_container: 0
  8646. 2022-01-18 15:17:11,091:INFO:master_model_container: 0
  8647. 2022-01-18 15:17:11,091:INFO:display_container: 1
  8648. 2022-01-18 15:17:11,095:INFO:Pipeline(memory=None,
  8649. steps=[('dtypes',
  8650. DataTypes_Auto_infer(categorical_features=[],
  8651. display_types=True, features_todrop=[],
  8652. id_columns=[],
  8653. ml_usecase='classification',
  8654. numerical_features=[], target='label',
  8655. time_features=[])),
  8656. ('imputer',
  8657. Simple_Imputer(categorical_strategy='not_available',
  8658. fill_value_categorical=None,
  8659. fill_value_numerical=None,
  8660. numeric_strate...
  8661. ('fix_perfect', Remove_100(target='label')),
  8662. ('clean_names', Clean_Colum_Names()),
  8663. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  8664. ('dfs',
  8665. DFS_Classic(interactions=['multiply', 'divide'],
  8666. ml_usecase='classification', n_jobs=-1,
  8667. random_state=695, subclass='binary',
  8668. target='label',
  8669. top_features_to_pick_percentage=None)),
  8670. ('pca', 'passthrough')],
  8671. verbose=False)
  8672. 2022-01-18 15:17:11,095:INFO:setup() succesfully completed......................................
  8673. 2022-01-18 15:17:27,163:INFO:Initializing compare_models()
  8674. 2022-01-18 15:17:27,164:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  8675. 2022-01-18 15:17:27,164:INFO:Checking exceptions
  8676. 2022-01-18 15:17:27,165:INFO:Preparing display monitor
  8677. 2022-01-18 15:17:27,165:INFO:Preparing display monitor
  8678. 2022-01-18 15:17:27,181:INFO:Initializing Logistic Regression
  8679. 2022-01-18 15:17:27,181:INFO:Total runtime is 5.185604095458984e-06 minutes
  8680. 2022-01-18 15:17:27,187:INFO:SubProcess create_model() called ==================================
  8681. 2022-01-18 15:17:27,187:INFO:Initializing create_model()
  8682. 2022-01-18 15:17:27,187:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8683. 2022-01-18 15:17:27,188:INFO:Checking exceptions
  8684. 2022-01-18 15:17:27,188:INFO:Importing libraries
  8685. 2022-01-18 15:17:27,188:INFO:Copying training dataset
  8686. 2022-01-18 15:17:27,189:INFO:Defining folds
  8687. 2022-01-18 15:17:27,189:INFO:Declaring metric variables
  8688. 2022-01-18 15:17:27,194:INFO:Importing untrained model
  8689. 2022-01-18 15:17:27,199:INFO:Logistic Regression Imported succesfully
  8690. 2022-01-18 15:17:27,210:INFO:Starting cross validation
  8691. 2022-01-18 15:17:27,211:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8692. 2022-01-18 15:18:04,486:INFO:Calculating mean and std
  8693. 2022-01-18 15:18:04,487:INFO:Creating metrics dataframe
  8694. 2022-01-18 15:18:04,493:INFO:Uploading results into container
  8695. 2022-01-18 15:18:04,493:INFO:Uploading model into container now
  8696. 2022-01-18 15:18:04,493:INFO:create_model_container: 1
  8697. 2022-01-18 15:18:04,494:INFO:master_model_container: 1
  8698. 2022-01-18 15:18:04,494:INFO:display_container: 2
  8699. 2022-01-18 15:18:04,495:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  8700. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  8701. multi_class='auto', n_jobs=None, penalty='l2',
  8702. random_state=695, solver='lbfgs', tol=0.0001, verbose=0,
  8703. warm_start=False)
  8704. 2022-01-18 15:18:04,495:INFO:create_model() succesfully completed......................................
  8705. 2022-01-18 15:18:04,602:INFO:SubProcess create_model() end ==================================
  8706. 2022-01-18 15:18:04,603:INFO:Creating metrics dataframe
  8707. 2022-01-18 15:18:04,612:INFO:Initializing K Neighbors Classifier
  8708. 2022-01-18 15:18:04,612:INFO:Total runtime is 0.6238506356875102 minutes
  8709. 2022-01-18 15:18:04,617:INFO:SubProcess create_model() called ==================================
  8710. 2022-01-18 15:18:04,618:INFO:Initializing create_model()
  8711. 2022-01-18 15:18:04,618:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8712. 2022-01-18 15:18:04,618:INFO:Checking exceptions
  8713. 2022-01-18 15:18:04,618:INFO:Importing libraries
  8714. 2022-01-18 15:18:04,618:INFO:Copying training dataset
  8715. 2022-01-18 15:18:04,620:INFO:Defining folds
  8716. 2022-01-18 15:18:04,620:INFO:Declaring metric variables
  8717. 2022-01-18 15:18:04,625:INFO:Importing untrained model
  8718. 2022-01-18 15:18:04,631:INFO:K Neighbors Classifier Imported succesfully
  8719. 2022-01-18 15:18:04,643:INFO:Starting cross validation
  8720. 2022-01-18 15:18:04,643:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8721. 2022-01-18 15:18:10,604:INFO:Calculating mean and std
  8722. 2022-01-18 15:18:10,605:INFO:Creating metrics dataframe
  8723. 2022-01-18 15:18:10,608:INFO:Uploading results into container
  8724. 2022-01-18 15:18:10,608:INFO:Uploading model into container now
  8725. 2022-01-18 15:18:10,608:INFO:create_model_container: 2
  8726. 2022-01-18 15:18:10,608:INFO:master_model_container: 2
  8727. 2022-01-18 15:18:10,608:INFO:display_container: 2
  8728. 2022-01-18 15:18:10,609:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  8729. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  8730. weights='uniform')
  8731. 2022-01-18 15:18:10,609:INFO:create_model() succesfully completed......................................
  8732. 2022-01-18 15:18:10,687:INFO:SubProcess create_model() end ==================================
  8733. 2022-01-18 15:18:10,687:INFO:Creating metrics dataframe
  8734. 2022-01-18 15:18:10,698:INFO:Initializing Naive Bayes
  8735. 2022-01-18 15:18:10,698:INFO:Total runtime is 0.7252870837847392 minutes
  8736. 2022-01-18 15:18:10,704:INFO:SubProcess create_model() called ==================================
  8737. 2022-01-18 15:18:10,704:INFO:Initializing create_model()
  8738. 2022-01-18 15:18:10,705:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8739. 2022-01-18 15:18:10,705:INFO:Checking exceptions
  8740. 2022-01-18 15:18:10,705:INFO:Importing libraries
  8741. 2022-01-18 15:18:10,705:INFO:Copying training dataset
  8742. 2022-01-18 15:18:10,707:INFO:Defining folds
  8743. 2022-01-18 15:18:10,707:INFO:Declaring metric variables
  8744. 2022-01-18 15:18:10,711:INFO:Importing untrained model
  8745. 2022-01-18 15:18:10,716:INFO:Naive Bayes Imported succesfully
  8746. 2022-01-18 15:18:10,726:INFO:Starting cross validation
  8747. 2022-01-18 15:18:10,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8748. 2022-01-18 15:18:11,054:INFO:Calculating mean and std
  8749. 2022-01-18 15:18:11,055:INFO:Creating metrics dataframe
  8750. 2022-01-18 15:18:11,058:INFO:Uploading results into container
  8751. 2022-01-18 15:18:11,058:INFO:Uploading model into container now
  8752. 2022-01-18 15:18:11,058:INFO:create_model_container: 3
  8753. 2022-01-18 15:18:11,058:INFO:master_model_container: 3
  8754. 2022-01-18 15:18:11,058:INFO:display_container: 2
  8755. 2022-01-18 15:18:11,059:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  8756. 2022-01-18 15:18:11,059:INFO:create_model() succesfully completed......................................
  8757. 2022-01-18 15:18:11,138:INFO:SubProcess create_model() end ==================================
  8758. 2022-01-18 15:18:11,139:INFO:Creating metrics dataframe
  8759. 2022-01-18 15:18:11,149:INFO:Initializing Decision Tree Classifier
  8760. 2022-01-18 15:18:11,149:INFO:Total runtime is 0.7328077356020609 minutes
  8761. 2022-01-18 15:18:11,155:INFO:SubProcess create_model() called ==================================
  8762. 2022-01-18 15:18:11,155:INFO:Initializing create_model()
  8763. 2022-01-18 15:18:11,155:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8764. 2022-01-18 15:18:11,155:INFO:Checking exceptions
  8765. 2022-01-18 15:18:11,155:INFO:Importing libraries
  8766. 2022-01-18 15:18:11,156:INFO:Copying training dataset
  8767. 2022-01-18 15:18:11,157:INFO:Defining folds
  8768. 2022-01-18 15:18:11,157:INFO:Declaring metric variables
  8769. 2022-01-18 15:18:11,162:INFO:Importing untrained model
  8770. 2022-01-18 15:18:11,167:INFO:Decision Tree Classifier Imported succesfully
  8771. 2022-01-18 15:18:11,177:INFO:Starting cross validation
  8772. 2022-01-18 15:18:11,178:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8773. 2022-01-18 15:18:14,351:INFO:Calculating mean and std
  8774. 2022-01-18 15:18:14,352:INFO:Creating metrics dataframe
  8775. 2022-01-18 15:18:14,355:INFO:Uploading results into container
  8776. 2022-01-18 15:18:14,355:INFO:Uploading model into container now
  8777. 2022-01-18 15:18:14,355:INFO:create_model_container: 4
  8778. 2022-01-18 15:18:14,355:INFO:master_model_container: 4
  8779. 2022-01-18 15:18:14,356:INFO:display_container: 2
  8780. 2022-01-18 15:18:14,356:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  8781. max_depth=None, max_features=None, max_leaf_nodes=None,
  8782. min_impurity_decrease=0.0, min_impurity_split=None,
  8783. min_samples_leaf=1, min_samples_split=2,
  8784. min_weight_fraction_leaf=0.0, presort='deprecated',
  8785. random_state=695, splitter='best')
  8786. 2022-01-18 15:18:14,356:INFO:create_model() succesfully completed......................................
  8787. 2022-01-18 15:18:14,429:INFO:SubProcess create_model() end ==================================
  8788. 2022-01-18 15:18:14,430:INFO:Creating metrics dataframe
  8789. 2022-01-18 15:18:14,440:INFO:Initializing SVM - Linear Kernel
  8790. 2022-01-18 15:18:14,441:INFO:Total runtime is 0.7876601576805115 minutes
  8791. 2022-01-18 15:18:14,446:INFO:SubProcess create_model() called ==================================
  8792. 2022-01-18 15:18:14,446:INFO:Initializing create_model()
  8793. 2022-01-18 15:18:14,446:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8794. 2022-01-18 15:18:14,446:INFO:Checking exceptions
  8795. 2022-01-18 15:18:14,447:INFO:Importing libraries
  8796. 2022-01-18 15:18:14,447:INFO:Copying training dataset
  8797. 2022-01-18 15:18:14,448:INFO:Defining folds
  8798. 2022-01-18 15:18:14,448:INFO:Declaring metric variables
  8799. 2022-01-18 15:18:14,454:INFO:Importing untrained model
  8800. 2022-01-18 15:18:14,458:INFO:SVM - Linear Kernel Imported succesfully
  8801. 2022-01-18 15:18:14,469:INFO:Starting cross validation
  8802. 2022-01-18 15:18:14,470:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8803. 2022-01-18 15:18:16,001:INFO:Calculating mean and std
  8804. 2022-01-18 15:18:16,005:INFO:Creating metrics dataframe
  8805. 2022-01-18 15:18:16,010:INFO:Uploading results into container
  8806. 2022-01-18 15:18:16,011:INFO:Uploading model into container now
  8807. 2022-01-18 15:18:16,011:INFO:create_model_container: 5
  8808. 2022-01-18 15:18:16,011:INFO:master_model_container: 5
  8809. 2022-01-18 15:18:16,011:INFO:display_container: 2
  8810. 2022-01-18 15:18:16,012:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  8811. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  8812. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  8813. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  8814. power_t=0.5, random_state=695, shuffle=True, tol=0.001,
  8815. validation_fraction=0.1, verbose=0, warm_start=False)
  8816. 2022-01-18 15:18:16,012:INFO:create_model() succesfully completed......................................
  8817. 2022-01-18 15:18:16,104:INFO:SubProcess create_model() end ==================================
  8818. 2022-01-18 15:18:16,105:INFO:Creating metrics dataframe
  8819. 2022-01-18 15:18:16,115:INFO:Initializing Ridge Classifier
  8820. 2022-01-18 15:18:16,116:INFO:Total runtime is 0.8155773639678955 minutes
  8821. 2022-01-18 15:18:16,121:INFO:SubProcess create_model() called ==================================
  8822. 2022-01-18 15:18:16,121:INFO:Initializing create_model()
  8823. 2022-01-18 15:18:16,121:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8824. 2022-01-18 15:18:16,122:INFO:Checking exceptions
  8825. 2022-01-18 15:18:16,122:INFO:Importing libraries
  8826. 2022-01-18 15:18:16,122:INFO:Copying training dataset
  8827. 2022-01-18 15:18:16,124:INFO:Defining folds
  8828. 2022-01-18 15:18:16,124:INFO:Declaring metric variables
  8829. 2022-01-18 15:18:16,129:INFO:Importing untrained model
  8830. 2022-01-18 15:18:16,135:INFO:Ridge Classifier Imported succesfully
  8831. 2022-01-18 15:18:16,145:INFO:Starting cross validation
  8832. 2022-01-18 15:18:16,145:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8833. 2022-01-18 15:18:17,035:INFO:Calculating mean and std
  8834. 2022-01-18 15:18:17,049:INFO:Creating metrics dataframe
  8835. 2022-01-18 15:18:17,058:INFO:Uploading results into container
  8836. 2022-01-18 15:18:17,058:INFO:Uploading model into container now
  8837. 2022-01-18 15:18:17,059:INFO:create_model_container: 6
  8838. 2022-01-18 15:18:17,059:INFO:master_model_container: 6
  8839. 2022-01-18 15:18:17,059:INFO:display_container: 2
  8840. 2022-01-18 15:18:17,059:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  8841. max_iter=None, normalize=False, random_state=695, solver='auto',
  8842. tol=0.001)
  8843. 2022-01-18 15:18:17,060:INFO:create_model() succesfully completed......................................
  8844. 2022-01-18 15:18:17,143:INFO:SubProcess create_model() end ==================================
  8845. 2022-01-18 15:18:17,144:INFO:Creating metrics dataframe
  8846. 2022-01-18 15:18:17,156:INFO:Initializing Random Forest Classifier
  8847. 2022-01-18 15:18:17,156:INFO:Total runtime is 0.8329163511594136 minutes
  8848. 2022-01-18 15:18:17,161:INFO:SubProcess create_model() called ==================================
  8849. 2022-01-18 15:18:17,162:INFO:Initializing create_model()
  8850. 2022-01-18 15:18:17,162:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8851. 2022-01-18 15:18:17,162:INFO:Checking exceptions
  8852. 2022-01-18 15:18:17,162:INFO:Importing libraries
  8853. 2022-01-18 15:18:17,162:INFO:Copying training dataset
  8854. 2022-01-18 15:18:17,164:INFO:Defining folds
  8855. 2022-01-18 15:18:17,164:INFO:Declaring metric variables
  8856. 2022-01-18 15:18:17,170:INFO:Importing untrained model
  8857. 2022-01-18 15:18:17,174:INFO:Random Forest Classifier Imported succesfully
  8858. 2022-01-18 15:18:17,185:INFO:Starting cross validation
  8859. 2022-01-18 15:18:17,185:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8860. 2022-01-18 15:18:24,439:INFO:Calculating mean and std
  8861. 2022-01-18 15:18:24,440:INFO:Creating metrics dataframe
  8862. 2022-01-18 15:18:24,442:INFO:Uploading results into container
  8863. 2022-01-18 15:18:24,442:INFO:Uploading model into container now
  8864. 2022-01-18 15:18:24,443:INFO:create_model_container: 7
  8865. 2022-01-18 15:18:24,443:INFO:master_model_container: 7
  8866. 2022-01-18 15:18:24,443:INFO:display_container: 2
  8867. 2022-01-18 15:18:24,443:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8868. criterion='gini', max_depth=None, max_features='auto',
  8869. max_leaf_nodes=None, max_samples=None,
  8870. min_impurity_decrease=0.0, min_impurity_split=None,
  8871. min_samples_leaf=1, min_samples_split=2,
  8872. min_weight_fraction_leaf=0.0, n_estimators=100,
  8873. n_jobs=-1, oob_score=False, random_state=695, verbose=0,
  8874. warm_start=False)
  8875. 2022-01-18 15:18:24,444:INFO:create_model() succesfully completed......................................
  8876. 2022-01-18 15:18:24,529:INFO:SubProcess create_model() end ==================================
  8877. 2022-01-18 15:18:24,529:INFO:Creating metrics dataframe
  8878. 2022-01-18 15:18:24,541:INFO:Initializing Quadratic Discriminant Analysis
  8879. 2022-01-18 15:18:24,541:INFO:Total runtime is 0.95600665807724 minutes
  8880. 2022-01-18 15:18:24,547:INFO:SubProcess create_model() called ==================================
  8881. 2022-01-18 15:18:24,547:INFO:Initializing create_model()
  8882. 2022-01-18 15:18:24,547:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8883. 2022-01-18 15:18:24,547:INFO:Checking exceptions
  8884. 2022-01-18 15:18:24,547:INFO:Importing libraries
  8885. 2022-01-18 15:18:24,548:INFO:Copying training dataset
  8886. 2022-01-18 15:18:24,549:INFO:Defining folds
  8887. 2022-01-18 15:18:24,549:INFO:Declaring metric variables
  8888. 2022-01-18 15:18:24,555:INFO:Importing untrained model
  8889. 2022-01-18 15:18:24,559:INFO:Quadratic Discriminant Analysis Imported succesfully
  8890. 2022-01-18 15:18:24,570:INFO:Starting cross validation
  8891. 2022-01-18 15:18:24,571:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8892. 2022-01-18 15:18:25,969:INFO:Calculating mean and std
  8893. 2022-01-18 15:18:25,970:INFO:Creating metrics dataframe
  8894. 2022-01-18 15:18:25,976:INFO:Uploading results into container
  8895. 2022-01-18 15:18:25,976:INFO:Uploading model into container now
  8896. 2022-01-18 15:18:25,976:INFO:create_model_container: 8
  8897. 2022-01-18 15:18:25,976:INFO:master_model_container: 8
  8898. 2022-01-18 15:18:25,976:INFO:display_container: 2
  8899. 2022-01-18 15:18:25,977:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  8900. store_covariance=False, tol=0.0001)
  8901. 2022-01-18 15:18:25,977:INFO:create_model() succesfully completed......................................
  8902. 2022-01-18 15:18:26,070:INFO:SubProcess create_model() end ==================================
  8903. 2022-01-18 15:18:26,070:INFO:Creating metrics dataframe
  8904. 2022-01-18 15:18:26,083:INFO:Initializing Ada Boost Classifier
  8905. 2022-01-18 15:18:26,083:INFO:Total runtime is 0.9816992163658141 minutes
  8906. 2022-01-18 15:18:26,089:INFO:SubProcess create_model() called ==================================
  8907. 2022-01-18 15:18:26,089:INFO:Initializing create_model()
  8908. 2022-01-18 15:18:26,089:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8909. 2022-01-18 15:18:26,090:INFO:Checking exceptions
  8910. 2022-01-18 15:18:26,090:INFO:Importing libraries
  8911. 2022-01-18 15:18:26,090:INFO:Copying training dataset
  8912. 2022-01-18 15:18:26,091:INFO:Defining folds
  8913. 2022-01-18 15:18:26,092:INFO:Declaring metric variables
  8914. 2022-01-18 15:18:26,096:INFO:Importing untrained model
  8915. 2022-01-18 15:18:26,101:INFO:Ada Boost Classifier Imported succesfully
  8916. 2022-01-18 15:18:26,114:INFO:Starting cross validation
  8917. 2022-01-18 15:18:26,114:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8918. 2022-01-18 15:18:41,878:INFO:Calculating mean and std
  8919. 2022-01-18 15:18:41,879:INFO:Creating metrics dataframe
  8920. 2022-01-18 15:18:41,881:INFO:Uploading results into container
  8921. 2022-01-18 15:18:41,882:INFO:Uploading model into container now
  8922. 2022-01-18 15:18:41,882:INFO:create_model_container: 9
  8923. 2022-01-18 15:18:41,882:INFO:master_model_container: 9
  8924. 2022-01-18 15:18:41,882:INFO:display_container: 2
  8925. 2022-01-18 15:18:41,882:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  8926. n_estimators=50, random_state=695)
  8927. 2022-01-18 15:18:41,883:INFO:create_model() succesfully completed......................................
  8928. 2022-01-18 15:18:41,956:INFO:SubProcess create_model() end ==================================
  8929. 2022-01-18 15:18:41,956:INFO:Creating metrics dataframe
  8930. 2022-01-18 15:18:41,969:INFO:Initializing Gradient Boosting Classifier
  8931. 2022-01-18 15:18:41,969:INFO:Total runtime is 1.2464656352996826 minutes
  8932. 2022-01-18 15:18:41,974:INFO:SubProcess create_model() called ==================================
  8933. 2022-01-18 15:18:41,975:INFO:Initializing create_model()
  8934. 2022-01-18 15:18:41,975:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8935. 2022-01-18 15:18:41,975:INFO:Checking exceptions
  8936. 2022-01-18 15:18:41,975:INFO:Importing libraries
  8937. 2022-01-18 15:18:41,975:INFO:Copying training dataset
  8938. 2022-01-18 15:18:41,977:INFO:Defining folds
  8939. 2022-01-18 15:18:41,977:INFO:Declaring metric variables
  8940. 2022-01-18 15:18:41,981:INFO:Importing untrained model
  8941. 2022-01-18 15:18:41,986:INFO:Gradient Boosting Classifier Imported succesfully
  8942. 2022-01-18 15:18:41,996:INFO:Starting cross validation
  8943. 2022-01-18 15:18:41,997:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8944. 2022-01-18 15:19:49,755:INFO:Calculating mean and std
  8945. 2022-01-18 15:19:49,756:INFO:Creating metrics dataframe
  8946. 2022-01-18 15:19:49,759:INFO:Uploading results into container
  8947. 2022-01-18 15:19:49,759:INFO:Uploading model into container now
  8948. 2022-01-18 15:19:49,759:INFO:create_model_container: 10
  8949. 2022-01-18 15:19:49,759:INFO:master_model_container: 10
  8950. 2022-01-18 15:19:49,759:INFO:display_container: 2
  8951. 2022-01-18 15:19:49,760:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  8952. learning_rate=0.1, loss='deviance', max_depth=3,
  8953. max_features=None, max_leaf_nodes=None,
  8954. min_impurity_decrease=0.0, min_impurity_split=None,
  8955. min_samples_leaf=1, min_samples_split=2,
  8956. min_weight_fraction_leaf=0.0, n_estimators=100,
  8957. n_iter_no_change=None, presort='deprecated',
  8958. random_state=695, subsample=1.0, tol=0.0001,
  8959. validation_fraction=0.1, verbose=0,
  8960. warm_start=False)
  8961. 2022-01-18 15:19:49,760:INFO:create_model() succesfully completed......................................
  8962. 2022-01-18 15:19:49,835:INFO:SubProcess create_model() end ==================================
  8963. 2022-01-18 15:19:49,836:INFO:Creating metrics dataframe
  8964. 2022-01-18 15:19:49,848:INFO:Initializing Linear Discriminant Analysis
  8965. 2022-01-18 15:19:49,848:INFO:Total runtime is 2.377783437569936 minutes
  8966. 2022-01-18 15:19:49,853:INFO:SubProcess create_model() called ==================================
  8967. 2022-01-18 15:19:49,854:INFO:Initializing create_model()
  8968. 2022-01-18 15:19:49,854:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8969. 2022-01-18 15:19:49,854:INFO:Checking exceptions
  8970. 2022-01-18 15:19:49,854:INFO:Importing libraries
  8971. 2022-01-18 15:19:49,854:INFO:Copying training dataset
  8972. 2022-01-18 15:19:49,856:INFO:Defining folds
  8973. 2022-01-18 15:19:49,856:INFO:Declaring metric variables
  8974. 2022-01-18 15:19:49,861:INFO:Importing untrained model
  8975. 2022-01-18 15:19:49,865:INFO:Linear Discriminant Analysis Imported succesfully
  8976. 2022-01-18 15:19:49,876:INFO:Starting cross validation
  8977. 2022-01-18 15:19:49,876:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8978. 2022-01-18 15:19:52,429:INFO:Calculating mean and std
  8979. 2022-01-18 15:19:52,431:INFO:Creating metrics dataframe
  8980. 2022-01-18 15:19:52,437:INFO:Uploading results into container
  8981. 2022-01-18 15:19:52,437:INFO:Uploading model into container now
  8982. 2022-01-18 15:19:52,437:INFO:create_model_container: 11
  8983. 2022-01-18 15:19:52,439:INFO:master_model_container: 11
  8984. 2022-01-18 15:19:52,439:INFO:display_container: 2
  8985. 2022-01-18 15:19:52,440:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  8986. solver='svd', store_covariance=False, tol=0.0001)
  8987. 2022-01-18 15:19:52,440:INFO:create_model() succesfully completed......................................
  8988. 2022-01-18 15:19:52,532:INFO:SubProcess create_model() end ==================================
  8989. 2022-01-18 15:19:52,532:INFO:Creating metrics dataframe
  8990. 2022-01-18 15:19:52,546:INFO:Initializing Extra Trees Classifier
  8991. 2022-01-18 15:19:52,546:INFO:Total runtime is 2.422754371166229 minutes
  8992. 2022-01-18 15:19:52,552:INFO:SubProcess create_model() called ==================================
  8993. 2022-01-18 15:19:52,552:INFO:Initializing create_model()
  8994. 2022-01-18 15:19:52,552:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8995. 2022-01-18 15:19:52,553:INFO:Checking exceptions
  8996. 2022-01-18 15:19:52,553:INFO:Importing libraries
  8997. 2022-01-18 15:19:52,553:INFO:Copying training dataset
  8998. 2022-01-18 15:19:52,554:INFO:Defining folds
  8999. 2022-01-18 15:19:52,555:INFO:Declaring metric variables
  9000. 2022-01-18 15:19:52,560:INFO:Importing untrained model
  9001. 2022-01-18 15:19:52,564:INFO:Extra Trees Classifier Imported succesfully
  9002. 2022-01-18 15:19:52,574:INFO:Starting cross validation
  9003. 2022-01-18 15:19:52,575:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9004. 2022-01-18 15:19:59,467:INFO:Calculating mean and std
  9005. 2022-01-18 15:19:59,468:INFO:Creating metrics dataframe
  9006. 2022-01-18 15:19:59,471:INFO:Uploading results into container
  9007. 2022-01-18 15:19:59,471:INFO:Uploading model into container now
  9008. 2022-01-18 15:19:59,471:INFO:create_model_container: 12
  9009. 2022-01-18 15:19:59,471:INFO:master_model_container: 12
  9010. 2022-01-18 15:19:59,472:INFO:display_container: 2
  9011. 2022-01-18 15:19:59,472:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  9012. criterion='gini', max_depth=None, max_features='auto',
  9013. max_leaf_nodes=None, max_samples=None,
  9014. min_impurity_decrease=0.0, min_impurity_split=None,
  9015. min_samples_leaf=1, min_samples_split=2,
  9016. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  9017. oob_score=False, random_state=695, verbose=0,
  9018. warm_start=False)
  9019. 2022-01-18 15:19:59,472:INFO:create_model() succesfully completed......................................
  9020. 2022-01-18 15:19:59,552:INFO:SubProcess create_model() end ==================================
  9021. 2022-01-18 15:19:59,552:INFO:Creating metrics dataframe
  9022. 2022-01-18 15:19:59,565:INFO:Initializing Light Gradient Boosting Machine
  9023. 2022-01-18 15:19:59,566:INFO:Total runtime is 2.5397435386975604 minutes
  9024. 2022-01-18 15:19:59,571:INFO:SubProcess create_model() called ==================================
  9025. 2022-01-18 15:19:59,571:INFO:Initializing create_model()
  9026. 2022-01-18 15:19:59,571:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  9027. 2022-01-18 15:19:59,571:INFO:Checking exceptions
  9028. 2022-01-18 15:19:59,572:INFO:Importing libraries
  9029. 2022-01-18 15:19:59,572:INFO:Copying training dataset
  9030. 2022-01-18 15:19:59,574:INFO:Defining folds
  9031. 2022-01-18 15:19:59,574:INFO:Declaring metric variables
  9032. 2022-01-18 15:19:59,579:INFO:Importing untrained model
  9033. 2022-01-18 15:19:59,584:INFO:Light Gradient Boosting Machine Imported succesfully
  9034. 2022-01-18 15:19:59,596:INFO:Starting cross validation
  9035. 2022-01-18 15:19:59,597:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9036. 2022-01-18 15:20:04,722:INFO:Calculating mean and std
  9037. 2022-01-18 15:20:04,723:INFO:Creating metrics dataframe
  9038. 2022-01-18 15:20:04,726:INFO:Uploading results into container
  9039. 2022-01-18 15:20:04,726:INFO:Uploading model into container now
  9040. 2022-01-18 15:20:04,726:INFO:create_model_container: 13
  9041. 2022-01-18 15:20:04,726:INFO:master_model_container: 13
  9042. 2022-01-18 15:20:04,726:INFO:display_container: 2
  9043. 2022-01-18 15:20:04,727:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  9044. importance_type='split', learning_rate=0.1, max_depth=-1,
  9045. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  9046. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  9047. random_state=695, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  9048. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  9049. 2022-01-18 15:20:04,727:INFO:create_model() succesfully completed......................................
  9050. 2022-01-18 15:20:04,794:INFO:SubProcess create_model() end ==================================
  9051. 2022-01-18 15:20:04,795:INFO:Creating metrics dataframe
  9052. 2022-01-18 15:20:04,808:INFO:Initializing Dummy Classifier
  9053. 2022-01-18 15:20:04,808:INFO:Total runtime is 2.627113389968872 minutes
  9054. 2022-01-18 15:20:04,813:INFO:SubProcess create_model() called ==================================
  9055. 2022-01-18 15:20:04,813:INFO:Initializing create_model()
  9056. 2022-01-18 15:20:04,813:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  9057. 2022-01-18 15:20:04,814:INFO:Checking exceptions
  9058. 2022-01-18 15:20:04,814:INFO:Importing libraries
  9059. 2022-01-18 15:20:04,814:INFO:Copying training dataset
  9060. 2022-01-18 15:20:04,816:INFO:Defining folds
  9061. 2022-01-18 15:20:04,816:INFO:Declaring metric variables
  9062. 2022-01-18 15:20:04,821:INFO:Importing untrained model
  9063. 2022-01-18 15:20:04,826:INFO:Dummy Classifier Imported succesfully
  9064. 2022-01-18 15:20:04,836:INFO:Starting cross validation
  9065. 2022-01-18 15:20:04,837:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9066. 2022-01-18 15:20:04,957:INFO:Calculating mean and std
  9067. 2022-01-18 15:20:04,958:INFO:Creating metrics dataframe
  9068. 2022-01-18 15:20:04,960:INFO:Uploading results into container
  9069. 2022-01-18 15:20:04,961:INFO:Uploading model into container now
  9070. 2022-01-18 15:20:04,961:INFO:create_model_container: 14
  9071. 2022-01-18 15:20:04,961:INFO:master_model_container: 14
  9072. 2022-01-18 15:20:04,961:INFO:display_container: 2
  9073. 2022-01-18 15:20:04,961:INFO:DummyClassifier(constant=None, random_state=695, strategy='prior')
  9074. 2022-01-18 15:20:04,961:INFO:create_model() succesfully completed......................................
  9075. 2022-01-18 15:20:05,030:INFO:SubProcess create_model() end ==================================
  9076. 2022-01-18 15:20:05,030:INFO:Creating metrics dataframe
  9077. 2022-01-18 15:20:05,056:INFO:Initializing create_model()
  9078. 2022-01-18 15:20:05,056:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9079. criterion='gini', max_depth=None, max_features='auto',
  9080. max_leaf_nodes=None, max_samples=None,
  9081. min_impurity_decrease=0.0, min_impurity_split=None,
  9082. min_samples_leaf=1, min_samples_split=2,
  9083. min_weight_fraction_leaf=0.0, n_estimators=100,
  9084. n_jobs=-1, oob_score=False, random_state=695, verbose=0,
  9085. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  9086. 2022-01-18 15:20:05,056:INFO:Checking exceptions
  9087. 2022-01-18 15:20:05,056:INFO:Importing libraries
  9088. 2022-01-18 15:20:05,057:INFO:Copying training dataset
  9089. 2022-01-18 15:20:05,058:INFO:Defining folds
  9090. 2022-01-18 15:20:05,058:INFO:Declaring metric variables
  9091. 2022-01-18 15:20:05,058:INFO:Importing untrained model
  9092. 2022-01-18 15:20:05,058:INFO:Declaring custom model
  9093. 2022-01-18 15:20:05,059:INFO:Random Forest Classifier Imported succesfully
  9094. 2022-01-18 15:20:05,059:INFO:Cross validation set to False
  9095. 2022-01-18 15:20:05,060:INFO:Fitting Model
  9096. 2022-01-18 15:20:05,482:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9097. criterion='gini', max_depth=None, max_features='auto',
  9098. max_leaf_nodes=None, max_samples=None,
  9099. min_impurity_decrease=0.0, min_impurity_split=None,
  9100. min_samples_leaf=1, min_samples_split=2,
  9101. min_weight_fraction_leaf=0.0, n_estimators=100,
  9102. n_jobs=-1, oob_score=False, random_state=695, verbose=0,
  9103. warm_start=False)
  9104. 2022-01-18 15:20:05,483:INFO:create_models() succesfully completed......................................
  9105. 2022-01-18 15:20:05,583:INFO:create_model_container: 14
  9106. 2022-01-18 15:20:05,583:INFO:master_model_container: 14
  9107. 2022-01-18 15:20:05,583:INFO:display_container: 2
  9108. 2022-01-18 15:20:05,584:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9109. criterion='gini', max_depth=None, max_features='auto',
  9110. max_leaf_nodes=None, max_samples=None,
  9111. min_impurity_decrease=0.0, min_impurity_split=None,
  9112. min_samples_leaf=1, min_samples_split=2,
  9113. min_weight_fraction_leaf=0.0, n_estimators=100,
  9114. n_jobs=-1, oob_score=False, random_state=695, verbose=0,
  9115. warm_start=False)
  9116. 2022-01-18 15:20:05,584:INFO:compare_models() succesfully completed......................................
  9117. 2022-01-18 15:21:50,815:INFO:PyCaret Supervised Module
  9118. 2022-01-18 15:21:50,816:INFO:ML Usecase: classification
  9119. 2022-01-18 15:21:50,816:INFO:version 2.3.6
  9120. 2022-01-18 15:21:50,816:INFO:Initializing setup()
  9121. 2022-01-18 15:21:50,816:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['illum', 'dayofweek'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9122. 2022-01-18 15:21:50,816:INFO:Checking environment
  9123. 2022-01-18 15:21:50,817:INFO:python_version: 3.8.8
  9124. 2022-01-18 15:21:50,817:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9125. 2022-01-18 15:21:50,817:INFO:machine: x86_64
  9126. 2022-01-18 15:21:50,817:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9127. 2022-01-18 15:21:50,817:INFO:Memory: svmem(total=33619935232, available=20104994816, percent=40.2, used=12664442880, free=17430978560, active=1296986112, inactive=14214119424, buffers=684834816, cached=2839678976, shared=383741952, slab=327352320)
  9128. 2022-01-18 15:21:50,818:INFO:Physical Core: 16
  9129. 2022-01-18 15:21:50,818:INFO:Logical Core: 32
  9130. 2022-01-18 15:21:50,818:INFO:Checking libraries
  9131. 2022-01-18 15:21:50,818:INFO:pd==1.2.4
  9132. 2022-01-18 15:21:50,819:INFO:numpy==1.19.5
  9133. 2022-01-18 15:21:50,819:INFO:sklearn==0.23.2
  9134. 2022-01-18 15:21:50,819:INFO:lightgbm==3.3.2
  9135. 2022-01-18 15:21:50,820:WARNING:catboost not found
  9136. 2022-01-18 15:21:50,820:WARNING:xgboost not found
  9137. 2022-01-18 15:21:50,820:INFO:mlflow==1.22.0
  9138. 2022-01-18 15:21:50,821:INFO:Checking Exceptions
  9139. 2022-01-18 15:21:50,821:INFO:Declaring global variables
  9140. 2022-01-18 15:21:50,821:INFO:USI: 3dbb
  9141. 2022-01-18 15:21:50,821:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9142. 2022-01-18 15:21:50,821:INFO:Preparing display monitor
  9143. 2022-01-18 15:21:50,821:INFO:Preparing display monitor
  9144. 2022-01-18 15:21:50,828:INFO:Importing libraries
  9145. 2022-01-18 15:21:50,829:INFO:Copying data for preprocessing
  9146. 2022-01-18 15:21:50,834:INFO:Declaring preprocessing parameters
  9147. 2022-01-18 15:21:50,835:WARNING:cuML not found
  9148. 2022-01-18 15:21:50,835:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9149. 2022-01-18 15:21:50,838:INFO:Creating preprocessing pipeline
  9150. 2022-01-18 15:21:50,867:INFO:Preprocessing pipeline created successfully
  9151. 2022-01-18 15:21:50,867:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9152. 2022-01-18 15:21:50,867:INFO:Creating global containers
  9153. 2022-01-18 15:21:50,867:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9154. 2022-01-18 15:22:17,940:INFO:PyCaret Supervised Module
  9155. 2022-01-18 15:22:17,940:INFO:ML Usecase: classification
  9156. 2022-01-18 15:22:17,940:INFO:version 2.3.6
  9157. 2022-01-18 15:22:17,941:INFO:Initializing setup()
  9158. 2022-01-18 15:22:17,941:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['illum', 'dayofweek'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9159. 2022-01-18 15:22:17,941:INFO:Checking environment
  9160. 2022-01-18 15:22:17,941:INFO:python_version: 3.8.8
  9161. 2022-01-18 15:22:17,942:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9162. 2022-01-18 15:22:17,942:INFO:machine: x86_64
  9163. 2022-01-18 15:22:17,942:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9164. 2022-01-18 15:22:17,942:INFO:Memory: svmem(total=33619935232, available=20153151488, percent=40.1, used=12616368128, free=17479147520, active=1297051648, inactive=14163095552, buffers=684883968, cached=2839535616, shared=383741952, slab=327176192)
  9165. 2022-01-18 15:22:17,943:INFO:Physical Core: 16
  9166. 2022-01-18 15:22:17,943:INFO:Logical Core: 32
  9167. 2022-01-18 15:22:17,943:INFO:Checking libraries
  9168. 2022-01-18 15:22:17,943:INFO:pd==1.2.4
  9169. 2022-01-18 15:22:17,943:INFO:numpy==1.19.5
  9170. 2022-01-18 15:22:17,944:INFO:sklearn==0.23.2
  9171. 2022-01-18 15:22:17,944:INFO:lightgbm==3.3.2
  9172. 2022-01-18 15:22:17,944:WARNING:catboost not found
  9173. 2022-01-18 15:22:17,945:WARNING:xgboost not found
  9174. 2022-01-18 15:22:17,945:INFO:mlflow==1.22.0
  9175. 2022-01-18 15:22:17,945:INFO:Checking Exceptions
  9176. 2022-01-18 15:22:17,945:INFO:Declaring global variables
  9177. 2022-01-18 15:22:17,945:INFO:USI: 32fb
  9178. 2022-01-18 15:22:17,946:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9179. 2022-01-18 15:22:17,946:INFO:Preparing display monitor
  9180. 2022-01-18 15:22:17,946:INFO:Preparing display monitor
  9181. 2022-01-18 15:22:17,955:INFO:Importing libraries
  9182. 2022-01-18 15:22:17,956:INFO:Copying data for preprocessing
  9183. 2022-01-18 15:22:17,962:INFO:Declaring preprocessing parameters
  9184. 2022-01-18 15:22:17,963:WARNING:cuML not found
  9185. 2022-01-18 15:22:17,963:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9186. 2022-01-18 15:22:17,967:INFO:Creating preprocessing pipeline
  9187. 2022-01-18 15:22:18,001:INFO:Preprocessing pipeline created successfully
  9188. 2022-01-18 15:22:18,002:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9189. 2022-01-18 15:22:18,002:INFO:Creating global containers
  9190. 2022-01-18 15:22:18,003:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9191. 2022-01-18 15:22:43,448:INFO:PyCaret Supervised Module
  9192. 2022-01-18 15:22:43,448:INFO:ML Usecase: classification
  9193. 2022-01-18 15:22:43,449:INFO:version 2.3.6
  9194. 2022-01-18 15:22:43,449:INFO:Initializing setup()
  9195. 2022-01-18 15:22:43,449:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['dayofweek'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9196. 2022-01-18 15:22:43,449:INFO:Checking environment
  9197. 2022-01-18 15:22:43,449:INFO:python_version: 3.8.8
  9198. 2022-01-18 15:22:43,449:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9199. 2022-01-18 15:22:43,449:INFO:machine: x86_64
  9200. 2022-01-18 15:22:43,450:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9201. 2022-01-18 15:22:43,450:INFO:Memory: svmem(total=33619935232, available=20304928768, percent=39.6, used=12464582656, free=17630846976, active=1297108992, inactive=14016237568, buffers=684933120, cached=2839572480, shared=383741952, slab=327213056)
  9202. 2022-01-18 15:22:43,451:INFO:Physical Core: 16
  9203. 2022-01-18 15:22:43,451:INFO:Logical Core: 32
  9204. 2022-01-18 15:22:43,451:INFO:Checking libraries
  9205. 2022-01-18 15:22:43,451:INFO:pd==1.2.4
  9206. 2022-01-18 15:22:43,451:INFO:numpy==1.19.5
  9207. 2022-01-18 15:22:43,451:INFO:sklearn==0.23.2
  9208. 2022-01-18 15:22:43,451:INFO:lightgbm==3.3.2
  9209. 2022-01-18 15:22:43,452:WARNING:catboost not found
  9210. 2022-01-18 15:22:43,452:WARNING:xgboost not found
  9211. 2022-01-18 15:22:43,452:INFO:mlflow==1.22.0
  9212. 2022-01-18 15:22:43,453:INFO:Checking Exceptions
  9213. 2022-01-18 15:22:43,453:INFO:Declaring global variables
  9214. 2022-01-18 15:22:43,453:INFO:USI: 3074
  9215. 2022-01-18 15:22:43,453:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9216. 2022-01-18 15:22:43,453:INFO:Preparing display monitor
  9217. 2022-01-18 15:22:43,454:INFO:Preparing display monitor
  9218. 2022-01-18 15:22:43,461:INFO:Importing libraries
  9219. 2022-01-18 15:22:43,462:INFO:Copying data for preprocessing
  9220. 2022-01-18 15:22:43,468:INFO:Declaring preprocessing parameters
  9221. 2022-01-18 15:22:43,469:WARNING:cuML not found
  9222. 2022-01-18 15:22:43,469:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9223. 2022-01-18 15:22:43,472:INFO:Creating preprocessing pipeline
  9224. 2022-01-18 15:22:43,501:INFO:Preprocessing pipeline created successfully
  9225. 2022-01-18 15:22:43,501:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9226. 2022-01-18 15:22:43,502:INFO:Creating global containers
  9227. 2022-01-18 15:22:43,502:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9228. 2022-01-18 15:23:03,219:INFO:PyCaret Supervised Module
  9229. 2022-01-18 15:23:03,219:INFO:ML Usecase: classification
  9230. 2022-01-18 15:23:03,219:INFO:version 2.3.6
  9231. 2022-01-18 15:23:03,220:INFO:Initializing setup()
  9232. 2022-01-18 15:23:03,220:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['illum'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9233. 2022-01-18 15:23:03,220:INFO:Checking environment
  9234. 2022-01-18 15:23:03,220:INFO:python_version: 3.8.8
  9235. 2022-01-18 15:23:03,220:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9236. 2022-01-18 15:23:03,220:INFO:machine: x86_64
  9237. 2022-01-18 15:23:03,221:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9238. 2022-01-18 15:23:03,221:INFO:Memory: svmem(total=33619935232, available=20266770432, percent=39.7, used=12502732800, free=17592672256, active=1297125376, inactive=14055038976, buffers=684965888, cached=2839564288, shared=383741952, slab=327200768)
  9239. 2022-01-18 15:23:03,221:INFO:Physical Core: 16
  9240. 2022-01-18 15:23:03,222:INFO:Logical Core: 32
  9241. 2022-01-18 15:23:03,222:INFO:Checking libraries
  9242. 2022-01-18 15:23:03,222:INFO:pd==1.2.4
  9243. 2022-01-18 15:23:03,222:INFO:numpy==1.19.5
  9244. 2022-01-18 15:23:03,222:INFO:sklearn==0.23.2
  9245. 2022-01-18 15:23:03,222:INFO:lightgbm==3.3.2
  9246. 2022-01-18 15:23:03,223:WARNING:catboost not found
  9247. 2022-01-18 15:23:03,224:WARNING:xgboost not found
  9248. 2022-01-18 15:23:03,224:INFO:mlflow==1.22.0
  9249. 2022-01-18 15:23:03,224:INFO:Checking Exceptions
  9250. 2022-01-18 15:23:03,224:INFO:Declaring global variables
  9251. 2022-01-18 15:23:03,224:INFO:USI: 7d33
  9252. 2022-01-18 15:23:03,224:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9253. 2022-01-18 15:23:03,225:INFO:Preparing display monitor
  9254. 2022-01-18 15:23:03,225:INFO:Preparing display monitor
  9255. 2022-01-18 15:23:03,234:INFO:Importing libraries
  9256. 2022-01-18 15:23:03,235:INFO:Copying data for preprocessing
  9257. 2022-01-18 15:23:03,241:INFO:Declaring preprocessing parameters
  9258. 2022-01-18 15:23:03,241:WARNING:cuML not found
  9259. 2022-01-18 15:23:03,241:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9260. 2022-01-18 15:23:03,244:INFO:Creating preprocessing pipeline
  9261. 2022-01-18 15:23:03,273:INFO:Preprocessing pipeline created successfully
  9262. 2022-01-18 15:23:03,273:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9263. 2022-01-18 15:23:03,273:INFO:Creating global containers
  9264. 2022-01-18 15:23:03,273:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9265. 2022-01-18 15:23:11,088:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9266. 2022-01-18 15:23:11,116:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9267. 2022-01-18 15:23:11,117:WARNING:Couldn't import cuml.MBSGDClassifier
  9268. 2022-01-18 15:23:11,118:WARNING:Couldn't import cuml.svm.SVC
  9269. 2022-01-18 15:23:11,132:WARNING:Couldn't import cuml.linear_model
  9270. 2022-01-18 15:23:11,135:WARNING:Couldn't import cuml.ensemble
  9271. 2022-01-18 15:23:11,136:WARNING:Couldn't import xgboost.XGBClassifier
  9272. 2022-01-18 15:23:11,139:WARNING:Couldn't import catboost.CatBoostClassifier
  9273. 2022-01-18 15:23:11,140:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9274. 2022-01-18 15:23:11,171:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9275. 2022-01-18 15:23:11,172:WARNING:Couldn't import cuml.MBSGDClassifier
  9276. 2022-01-18 15:23:11,173:WARNING:Couldn't import cuml.svm.SVC
  9277. 2022-01-18 15:23:11,187:WARNING:Couldn't import cuml.linear_model
  9278. 2022-01-18 15:23:11,190:WARNING:Couldn't import cuml.ensemble
  9279. 2022-01-18 15:23:11,191:WARNING:Couldn't import xgboost.XGBClassifier
  9280. 2022-01-18 15:23:11,194:WARNING:Couldn't import catboost.CatBoostClassifier
  9281. 2022-01-18 15:23:11,195:INFO:Creating grid variables
  9282. 2022-01-18 15:23:11,208:INFO:create_model_container: 0
  9283. 2022-01-18 15:23:11,208:INFO:master_model_container: 0
  9284. 2022-01-18 15:23:11,208:INFO:display_container: 1
  9285. 2022-01-18 15:23:11,212:INFO:Pipeline(memory=None,
  9286. steps=[('dtypes',
  9287. DataTypes_Auto_infer(categorical_features=[],
  9288. display_types=True, features_todrop=[],
  9289. id_columns=[],
  9290. ml_usecase='classification',
  9291. numerical_features=[], target='label',
  9292. time_features=[])),
  9293. ('imputer',
  9294. Simple_Imputer(categorical_strategy='not_available',
  9295. fill_value_categorical=None,
  9296. fill_value_numerical=None,
  9297. numeric_strate...
  9298. ('fix_perfect', Remove_100(target='label')),
  9299. ('clean_names', Clean_Colum_Names()),
  9300. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  9301. ('dfs',
  9302. DFS_Classic(interactions=['multiply', 'divide'],
  9303. ml_usecase='classification', n_jobs=-1,
  9304. random_state=1797, subclass='binary',
  9305. target='label',
  9306. top_features_to_pick_percentage=None)),
  9307. ('pca', 'passthrough')],
  9308. verbose=False)
  9309. 2022-01-18 15:23:11,212:INFO:setup() succesfully completed......................................
  9310. 2022-01-18 15:27:40,371:INFO:PyCaret Supervised Module
  9311. 2022-01-18 15:27:40,371:INFO:ML Usecase: classification
  9312. 2022-01-18 15:27:40,371:INFO:version 2.3.6
  9313. 2022-01-18 15:27:40,372:INFO:Initializing setup()
  9314. 2022-01-18 15:27:40,372:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['illum'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9315. 2022-01-18 15:27:40,372:INFO:Checking environment
  9316. 2022-01-18 15:27:40,372:INFO:python_version: 3.8.8
  9317. 2022-01-18 15:27:40,372:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9318. 2022-01-18 15:27:40,373:INFO:machine: x86_64
  9319. 2022-01-18 15:27:40,373:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9320. 2022-01-18 15:27:40,373:INFO:Memory: svmem(total=33619935232, available=27902365696, percent=17.0, used=4868083712, free=25228607488, active=1297395712, inactive=6469472256, buffers=685457408, cached=2837786624, shared=383610880, slab=314028032)
  9321. 2022-01-18 15:27:40,374:INFO:Physical Core: 16
  9322. 2022-01-18 15:27:40,374:INFO:Logical Core: 32
  9323. 2022-01-18 15:27:40,374:INFO:Checking libraries
  9324. 2022-01-18 15:27:40,374:INFO:pd==1.2.4
  9325. 2022-01-18 15:27:40,374:INFO:numpy==1.19.5
  9326. 2022-01-18 15:27:40,374:INFO:sklearn==0.23.2
  9327. 2022-01-18 15:27:40,375:INFO:lightgbm==3.3.2
  9328. 2022-01-18 15:27:40,375:WARNING:catboost not found
  9329. 2022-01-18 15:27:40,376:WARNING:xgboost not found
  9330. 2022-01-18 15:27:40,376:INFO:mlflow==1.22.0
  9331. 2022-01-18 15:27:40,376:INFO:Checking Exceptions
  9332. 2022-01-18 15:27:40,376:INFO:Declaring global variables
  9333. 2022-01-18 15:27:40,376:INFO:USI: aef0
  9334. 2022-01-18 15:27:40,377:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9335. 2022-01-18 15:27:40,377:INFO:Preparing display monitor
  9336. 2022-01-18 15:27:40,377:INFO:Preparing display monitor
  9337. 2022-01-18 15:27:40,385:INFO:Importing libraries
  9338. 2022-01-18 15:27:40,385:INFO:Copying data for preprocessing
  9339. 2022-01-18 15:27:40,392:INFO:Declaring preprocessing parameters
  9340. 2022-01-18 15:27:40,393:WARNING:cuML not found
  9341. 2022-01-18 15:27:40,393:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9342. 2022-01-18 15:27:40,396:INFO:Creating preprocessing pipeline
  9343. 2022-01-18 15:27:40,428:INFO:Preprocessing pipeline created successfully
  9344. 2022-01-18 15:27:40,428:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9345. 2022-01-18 15:27:40,428:INFO:Creating global containers
  9346. 2022-01-18 15:27:40,429:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9347. 2022-01-18 15:30:12,715:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9348. 2022-01-18 15:30:12,743:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9349. 2022-01-18 15:30:12,743:WARNING:Couldn't import cuml.MBSGDClassifier
  9350. 2022-01-18 15:30:12,744:WARNING:Couldn't import cuml.svm.SVC
  9351. 2022-01-18 15:30:12,759:WARNING:Couldn't import cuml.linear_model
  9352. 2022-01-18 15:30:12,762:WARNING:Couldn't import cuml.ensemble
  9353. 2022-01-18 15:30:12,763:WARNING:Couldn't import xgboost.XGBClassifier
  9354. 2022-01-18 15:30:12,766:WARNING:Couldn't import catboost.CatBoostClassifier
  9355. 2022-01-18 15:30:12,766:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9356. 2022-01-18 15:30:12,797:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9357. 2022-01-18 15:30:12,797:WARNING:Couldn't import cuml.MBSGDClassifier
  9358. 2022-01-18 15:30:12,798:WARNING:Couldn't import cuml.svm.SVC
  9359. 2022-01-18 15:30:12,812:WARNING:Couldn't import cuml.linear_model
  9360. 2022-01-18 15:30:12,815:WARNING:Couldn't import cuml.ensemble
  9361. 2022-01-18 15:30:12,817:WARNING:Couldn't import xgboost.XGBClassifier
  9362. 2022-01-18 15:30:12,821:WARNING:Couldn't import catboost.CatBoostClassifier
  9363. 2022-01-18 15:30:12,821:INFO:Creating grid variables
  9364. 2022-01-18 15:30:12,834:INFO:create_model_container: 0
  9365. 2022-01-18 15:30:12,834:INFO:master_model_container: 0
  9366. 2022-01-18 15:30:12,834:INFO:display_container: 1
  9367. 2022-01-18 15:30:12,838:INFO:Pipeline(memory=None,
  9368. steps=[('dtypes',
  9369. DataTypes_Auto_infer(categorical_features=[],
  9370. display_types=True, features_todrop=[],
  9371. id_columns=[],
  9372. ml_usecase='classification',
  9373. numerical_features=[], target='label',
  9374. time_features=[])),
  9375. ('imputer',
  9376. Simple_Imputer(categorical_strategy='not_available',
  9377. fill_value_categorical=None,
  9378. fill_value_numerical=None,
  9379. numeric_strate...
  9380. ('fix_perfect', Remove_100(target='label')),
  9381. ('clean_names', Clean_Colum_Names()),
  9382. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  9383. ('dfs',
  9384. DFS_Classic(interactions=['multiply', 'divide'],
  9385. ml_usecase='classification', n_jobs=-1,
  9386. random_state=2651, subclass='binary',
  9387. target='label',
  9388. top_features_to_pick_percentage=None)),
  9389. ('pca', 'passthrough')],
  9390. verbose=False)
  9391. 2022-01-18 15:30:12,838:INFO:setup() succesfully completed......................................
  9392. 2022-01-18 15:31:50,249:INFO:PyCaret Supervised Module
  9393. 2022-01-18 15:31:50,249:INFO:ML Usecase: classification
  9394. 2022-01-18 15:31:50,249:INFO:version 2.3.6
  9395. 2022-01-18 15:31:50,249:INFO:Initializing setup()
  9396. 2022-01-18 15:31:50,250:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9397. 2022-01-18 15:31:50,250:INFO:Checking environment
  9398. 2022-01-18 15:31:50,250:INFO:python_version: 3.8.8
  9399. 2022-01-18 15:31:50,250:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9400. 2022-01-18 15:31:50,250:INFO:machine: x86_64
  9401. 2022-01-18 15:31:50,250:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9402. 2022-01-18 15:31:50,251:INFO:Memory: svmem(total=33619935232, available=27551952896, percent=18.0, used=5218504704, free=24876834816, active=1298132992, inactive=6822612992, buffers=686075904, cached=2838519808, shared=383610880, slab=313921536)
  9403. 2022-01-18 15:31:50,251:INFO:Physical Core: 16
  9404. 2022-01-18 15:31:50,251:INFO:Logical Core: 32
  9405. 2022-01-18 15:31:50,251:INFO:Checking libraries
  9406. 2022-01-18 15:31:50,252:INFO:pd==1.2.4
  9407. 2022-01-18 15:31:50,252:INFO:numpy==1.19.5
  9408. 2022-01-18 15:31:50,252:INFO:sklearn==0.23.2
  9409. 2022-01-18 15:31:50,252:INFO:lightgbm==3.3.2
  9410. 2022-01-18 15:31:50,253:WARNING:catboost not found
  9411. 2022-01-18 15:31:50,253:WARNING:xgboost not found
  9412. 2022-01-18 15:31:50,253:INFO:mlflow==1.22.0
  9413. 2022-01-18 15:31:50,253:INFO:Checking Exceptions
  9414. 2022-01-18 15:31:50,254:INFO:Declaring global variables
  9415. 2022-01-18 15:31:50,254:INFO:USI: 8799
  9416. 2022-01-18 15:31:50,254:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9417. 2022-01-18 15:31:50,254:INFO:Preparing display monitor
  9418. 2022-01-18 15:31:50,254:INFO:Preparing display monitor
  9419. 2022-01-18 15:31:50,261:INFO:Importing libraries
  9420. 2022-01-18 15:31:50,262:INFO:Copying data for preprocessing
  9421. 2022-01-18 15:31:50,268:INFO:Declaring preprocessing parameters
  9422. 2022-01-18 15:31:50,269:WARNING:cuML not found
  9423. 2022-01-18 15:31:50,269:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9424. 2022-01-18 15:31:50,272:INFO:Creating preprocessing pipeline
  9425. 2022-01-18 15:31:50,301:INFO:Preprocessing pipeline created successfully
  9426. 2022-01-18 15:31:50,301:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9427. 2022-01-18 15:31:50,301:INFO:Creating global containers
  9428. 2022-01-18 15:31:50,302:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9429. 2022-01-18 15:31:52,904:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9430. 2022-01-18 15:31:52,935:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9431. 2022-01-18 15:31:52,935:WARNING:Couldn't import cuml.MBSGDClassifier
  9432. 2022-01-18 15:31:52,936:WARNING:Couldn't import cuml.svm.SVC
  9433. 2022-01-18 15:31:52,951:WARNING:Couldn't import cuml.linear_model
  9434. 2022-01-18 15:31:52,955:WARNING:Couldn't import cuml.ensemble
  9435. 2022-01-18 15:31:52,956:WARNING:Couldn't import xgboost.XGBClassifier
  9436. 2022-01-18 15:31:52,991:WARNING:Couldn't import catboost.CatBoostClassifier
  9437. 2022-01-18 15:31:52,992:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9438. 2022-01-18 15:31:53,022:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9439. 2022-01-18 15:31:53,023:WARNING:Couldn't import cuml.MBSGDClassifier
  9440. 2022-01-18 15:31:53,024:WARNING:Couldn't import cuml.svm.SVC
  9441. 2022-01-18 15:31:53,039:WARNING:Couldn't import cuml.linear_model
  9442. 2022-01-18 15:31:53,043:WARNING:Couldn't import cuml.ensemble
  9443. 2022-01-18 15:31:53,044:WARNING:Couldn't import xgboost.XGBClassifier
  9444. 2022-01-18 15:31:53,048:WARNING:Couldn't import catboost.CatBoostClassifier
  9445. 2022-01-18 15:31:53,048:INFO:Creating grid variables
  9446. 2022-01-18 15:31:53,062:INFO:create_model_container: 0
  9447. 2022-01-18 15:31:53,063:INFO:master_model_container: 0
  9448. 2022-01-18 15:31:53,063:INFO:display_container: 1
  9449. 2022-01-18 15:31:53,066:INFO:Pipeline(memory=None,
  9450. steps=[('dtypes',
  9451. DataTypes_Auto_infer(categorical_features=[],
  9452. display_types=True, features_todrop=[],
  9453. id_columns=[],
  9454. ml_usecase='classification',
  9455. numerical_features=[], target='label',
  9456. time_features=[])),
  9457. ('imputer',
  9458. Simple_Imputer(categorical_strategy='not_available',
  9459. fill_value_categorical=None,
  9460. fill_value_numerical=None,
  9461. numeric_strate...
  9462. target='label')),
  9463. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  9464. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  9465. ('dummy', Dummify(target='label')),
  9466. ('fix_perfect', Remove_100(target='label')),
  9467. ('clean_names', Clean_Colum_Names()),
  9468. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  9469. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  9470. verbose=False)
  9471. 2022-01-18 15:31:53,066:INFO:setup() succesfully completed......................................
  9472. 2022-01-18 15:41:05,679:INFO:PyCaret Supervised Module
  9473. 2022-01-18 15:41:05,679:INFO:ML Usecase: classification
  9474. 2022-01-18 15:41:05,679:INFO:version 2.3.6
  9475. 2022-01-18 15:41:05,680:INFO:Initializing setup()
  9476. 2022-01-18 15:41:05,680:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9477. 2022-01-18 15:41:05,680:INFO:Checking environment
  9478. 2022-01-18 15:41:05,680:INFO:python_version: 3.8.8
  9479. 2022-01-18 15:41:05,680:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9480. 2022-01-18 15:41:05,680:INFO:machine: x86_64
  9481. 2022-01-18 15:41:05,680:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9482. 2022-01-18 15:41:05,681:INFO:Memory: svmem(total=33619935232, available=27558707200, percent=18.0, used=5211738112, free=24882642944, active=1299042304, inactive=6820036608, buffers=686993408, cached=2838560768, shared=383610880, slab=313868288)
  9483. 2022-01-18 15:41:05,681:INFO:Physical Core: 16
  9484. 2022-01-18 15:41:05,681:INFO:Logical Core: 32
  9485. 2022-01-18 15:41:05,682:INFO:Checking libraries
  9486. 2022-01-18 15:41:05,682:INFO:pd==1.2.4
  9487. 2022-01-18 15:41:05,682:INFO:numpy==1.19.5
  9488. 2022-01-18 15:41:05,682:INFO:sklearn==0.23.2
  9489. 2022-01-18 15:41:05,682:INFO:lightgbm==3.3.2
  9490. 2022-01-18 15:41:05,683:WARNING:catboost not found
  9491. 2022-01-18 15:41:05,683:WARNING:xgboost not found
  9492. 2022-01-18 15:41:05,683:INFO:mlflow==1.22.0
  9493. 2022-01-18 15:41:05,684:INFO:Checking Exceptions
  9494. 2022-01-18 15:41:05,684:INFO:Declaring global variables
  9495. 2022-01-18 15:41:05,684:INFO:USI: ab39
  9496. 2022-01-18 15:41:05,684:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9497. 2022-01-18 15:41:05,684:INFO:Preparing display monitor
  9498. 2022-01-18 15:41:05,684:INFO:Preparing display monitor
  9499. 2022-01-18 15:41:05,692:INFO:Importing libraries
  9500. 2022-01-18 15:41:05,693:INFO:Copying data for preprocessing
  9501. 2022-01-18 15:41:05,698:INFO:Declaring preprocessing parameters
  9502. 2022-01-18 15:41:05,699:WARNING:cuML not found
  9503. 2022-01-18 15:41:05,699:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9504. 2022-01-18 15:41:05,701:INFO:Creating preprocessing pipeline
  9505. 2022-01-18 15:41:05,730:INFO:Preprocessing pipeline created successfully
  9506. 2022-01-18 15:41:05,730:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9507. 2022-01-18 15:41:05,730:INFO:Creating global containers
  9508. 2022-01-18 15:41:05,731:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9509. 2022-01-18 15:41:07,474:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9510. 2022-01-18 15:41:07,502:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9511. 2022-01-18 15:41:07,503:WARNING:Couldn't import cuml.MBSGDClassifier
  9512. 2022-01-18 15:41:07,504:WARNING:Couldn't import cuml.svm.SVC
  9513. 2022-01-18 15:41:07,518:WARNING:Couldn't import cuml.linear_model
  9514. 2022-01-18 15:41:07,521:WARNING:Couldn't import cuml.ensemble
  9515. 2022-01-18 15:41:07,522:WARNING:Couldn't import xgboost.XGBClassifier
  9516. 2022-01-18 15:41:07,525:WARNING:Couldn't import catboost.CatBoostClassifier
  9517. 2022-01-18 15:41:07,526:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9518. 2022-01-18 15:41:07,556:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9519. 2022-01-18 15:41:07,557:WARNING:Couldn't import cuml.MBSGDClassifier
  9520. 2022-01-18 15:41:07,557:WARNING:Couldn't import cuml.svm.SVC
  9521. 2022-01-18 15:41:07,572:WARNING:Couldn't import cuml.linear_model
  9522. 2022-01-18 15:41:07,576:WARNING:Couldn't import cuml.ensemble
  9523. 2022-01-18 15:41:07,577:WARNING:Couldn't import xgboost.XGBClassifier
  9524. 2022-01-18 15:41:07,580:WARNING:Couldn't import catboost.CatBoostClassifier
  9525. 2022-01-18 15:41:07,580:INFO:Creating grid variables
  9526. 2022-01-18 15:41:07,593:INFO:create_model_container: 0
  9527. 2022-01-18 15:41:07,593:INFO:master_model_container: 0
  9528. 2022-01-18 15:41:07,594:INFO:display_container: 1
  9529. 2022-01-18 15:41:07,597:INFO:Pipeline(memory=None,
  9530. steps=[('dtypes',
  9531. DataTypes_Auto_infer(categorical_features=[],
  9532. display_types=True, features_todrop=[],
  9533. id_columns=[],
  9534. ml_usecase='classification',
  9535. numerical_features=[], target='label',
  9536. time_features=[])),
  9537. ('imputer',
  9538. Simple_Imputer(categorical_strategy='not_available',
  9539. fill_value_categorical=None,
  9540. fill_value_numerical=None,
  9541. numeric_strate...
  9542. target='label')),
  9543. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  9544. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  9545. ('dummy', Dummify(target='label')),
  9546. ('fix_perfect', Remove_100(target='label')),
  9547. ('clean_names', Clean_Colum_Names()),
  9548. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  9549. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  9550. verbose=False)
  9551. 2022-01-18 15:41:07,597:INFO:setup() succesfully completed......................................
  9552. 2022-01-18 15:41:13,467:INFO:Initializing compare_models()
  9553. 2022-01-18 15:41:13,467:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  9554. 2022-01-18 15:41:13,467:INFO:Checking exceptions
  9555. 2022-01-18 15:41:13,468:INFO:Preparing display monitor
  9556. 2022-01-18 15:41:13,469:INFO:Preparing display monitor
  9557. 2022-01-18 15:41:13,485:INFO:Initializing Logistic Regression
  9558. 2022-01-18 15:41:13,485:INFO:Total runtime is 5.93264897664388e-06 minutes
  9559. 2022-01-18 15:41:13,491:INFO:SubProcess create_model() called ==================================
  9560. 2022-01-18 15:41:13,491:INFO:Initializing create_model()
  9561. 2022-01-18 15:41:13,491:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9562. 2022-01-18 15:41:13,491:INFO:Checking exceptions
  9563. 2022-01-18 15:41:13,492:INFO:Importing libraries
  9564. 2022-01-18 15:41:13,492:INFO:Copying training dataset
  9565. 2022-01-18 15:41:13,493:INFO:Defining folds
  9566. 2022-01-18 15:41:13,493:INFO:Declaring metric variables
  9567. 2022-01-18 15:41:13,498:INFO:Importing untrained model
  9568. 2022-01-18 15:41:13,503:INFO:Logistic Regression Imported succesfully
  9569. 2022-01-18 15:41:13,514:INFO:Starting cross validation
  9570. 2022-01-18 15:41:13,515:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9571. 2022-01-18 15:41:20,325:INFO:Calculating mean and std
  9572. 2022-01-18 15:41:20,330:INFO:Creating metrics dataframe
  9573. 2022-01-18 15:41:20,343:INFO:Uploading results into container
  9574. 2022-01-18 15:41:20,343:INFO:Uploading model into container now
  9575. 2022-01-18 15:41:20,344:INFO:create_model_container: 1
  9576. 2022-01-18 15:41:20,347:INFO:master_model_container: 1
  9577. 2022-01-18 15:41:20,348:INFO:display_container: 2
  9578. 2022-01-18 15:41:20,350:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  9579. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  9580. multi_class='auto', n_jobs=None, penalty='l2',
  9581. random_state=7473, solver='lbfgs', tol=0.0001, verbose=0,
  9582. warm_start=False)
  9583. 2022-01-18 15:41:20,351:INFO:create_model() succesfully completed......................................
  9584. 2022-01-18 15:41:20,444:INFO:SubProcess create_model() end ==================================
  9585. 2022-01-18 15:41:20,444:INFO:Creating metrics dataframe
  9586. 2022-01-18 15:41:20,453:INFO:Initializing K Neighbors Classifier
  9587. 2022-01-18 15:41:20,453:INFO:Total runtime is 0.11613946358362834 minutes
  9588. 2022-01-18 15:41:20,458:INFO:SubProcess create_model() called ==================================
  9589. 2022-01-18 15:41:20,459:INFO:Initializing create_model()
  9590. 2022-01-18 15:41:20,459:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9591. 2022-01-18 15:41:20,459:INFO:Checking exceptions
  9592. 2022-01-18 15:41:20,459:INFO:Importing libraries
  9593. 2022-01-18 15:41:20,459:INFO:Copying training dataset
  9594. 2022-01-18 15:41:20,460:INFO:Defining folds
  9595. 2022-01-18 15:41:20,460:INFO:Declaring metric variables
  9596. 2022-01-18 15:41:20,465:INFO:Importing untrained model
  9597. 2022-01-18 15:41:20,470:INFO:K Neighbors Classifier Imported succesfully
  9598. 2022-01-18 15:41:20,480:INFO:Starting cross validation
  9599. 2022-01-18 15:41:20,480:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9600. 2022-01-18 15:41:37,977:INFO:Calculating mean and std
  9601. 2022-01-18 15:41:37,978:INFO:Creating metrics dataframe
  9602. 2022-01-18 15:41:37,981:INFO:Uploading results into container
  9603. 2022-01-18 15:41:37,981:INFO:Uploading model into container now
  9604. 2022-01-18 15:41:37,981:INFO:create_model_container: 2
  9605. 2022-01-18 15:41:37,981:INFO:master_model_container: 2
  9606. 2022-01-18 15:41:37,981:INFO:display_container: 2
  9607. 2022-01-18 15:41:37,982:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  9608. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  9609. weights='uniform')
  9610. 2022-01-18 15:41:37,982:INFO:create_model() succesfully completed......................................
  9611. 2022-01-18 15:41:38,066:INFO:SubProcess create_model() end ==================================
  9612. 2022-01-18 15:41:38,066:INFO:Creating metrics dataframe
  9613. 2022-01-18 15:41:38,076:INFO:Initializing Naive Bayes
  9614. 2022-01-18 15:41:38,077:INFO:Total runtime is 0.40986427466074626 minutes
  9615. 2022-01-18 15:41:38,082:INFO:SubProcess create_model() called ==================================
  9616. 2022-01-18 15:41:38,082:INFO:Initializing create_model()
  9617. 2022-01-18 15:41:38,082:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9618. 2022-01-18 15:41:38,083:INFO:Checking exceptions
  9619. 2022-01-18 15:41:38,083:INFO:Importing libraries
  9620. 2022-01-18 15:41:38,083:INFO:Copying training dataset
  9621. 2022-01-18 15:41:38,086:INFO:Defining folds
  9622. 2022-01-18 15:41:38,086:INFO:Declaring metric variables
  9623. 2022-01-18 15:41:38,091:INFO:Importing untrained model
  9624. 2022-01-18 15:41:38,096:INFO:Naive Bayes Imported succesfully
  9625. 2022-01-18 15:41:38,105:INFO:Starting cross validation
  9626. 2022-01-18 15:41:38,106:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9627. 2022-01-18 15:41:38,359:INFO:Calculating mean and std
  9628. 2022-01-18 15:41:38,360:INFO:Creating metrics dataframe
  9629. 2022-01-18 15:41:38,363:INFO:Uploading results into container
  9630. 2022-01-18 15:41:38,363:INFO:Uploading model into container now
  9631. 2022-01-18 15:41:38,363:INFO:create_model_container: 3
  9632. 2022-01-18 15:41:38,363:INFO:master_model_container: 3
  9633. 2022-01-18 15:41:38,363:INFO:display_container: 2
  9634. 2022-01-18 15:41:38,364:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  9635. 2022-01-18 15:41:38,364:INFO:create_model() succesfully completed......................................
  9636. 2022-01-18 15:41:38,453:INFO:SubProcess create_model() end ==================================
  9637. 2022-01-18 15:41:38,453:INFO:Creating metrics dataframe
  9638. 2022-01-18 15:41:38,464:INFO:Initializing Decision Tree Classifier
  9639. 2022-01-18 15:41:38,464:INFO:Total runtime is 0.41632137695948285 minutes
  9640. 2022-01-18 15:41:38,470:INFO:SubProcess create_model() called ==================================
  9641. 2022-01-18 15:41:38,470:INFO:Initializing create_model()
  9642. 2022-01-18 15:41:38,470:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9643. 2022-01-18 15:41:38,470:INFO:Checking exceptions
  9644. 2022-01-18 15:41:38,471:INFO:Importing libraries
  9645. 2022-01-18 15:41:38,471:INFO:Copying training dataset
  9646. 2022-01-18 15:41:38,472:INFO:Defining folds
  9647. 2022-01-18 15:41:38,472:INFO:Declaring metric variables
  9648. 2022-01-18 15:41:38,477:INFO:Importing untrained model
  9649. 2022-01-18 15:41:38,482:INFO:Decision Tree Classifier Imported succesfully
  9650. 2022-01-18 15:41:38,492:INFO:Starting cross validation
  9651. 2022-01-18 15:41:38,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9652. 2022-01-18 15:41:39,401:INFO:Calculating mean and std
  9653. 2022-01-18 15:41:39,402:INFO:Creating metrics dataframe
  9654. 2022-01-18 15:41:39,404:INFO:Uploading results into container
  9655. 2022-01-18 15:41:39,405:INFO:Uploading model into container now
  9656. 2022-01-18 15:41:39,405:INFO:create_model_container: 4
  9657. 2022-01-18 15:41:39,405:INFO:master_model_container: 4
  9658. 2022-01-18 15:41:39,405:INFO:display_container: 2
  9659. 2022-01-18 15:41:39,406:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  9660. max_depth=None, max_features=None, max_leaf_nodes=None,
  9661. min_impurity_decrease=0.0, min_impurity_split=None,
  9662. min_samples_leaf=1, min_samples_split=2,
  9663. min_weight_fraction_leaf=0.0, presort='deprecated',
  9664. random_state=7473, splitter='best')
  9665. 2022-01-18 15:41:39,406:INFO:create_model() succesfully completed......................................
  9666. 2022-01-18 15:41:39,482:INFO:SubProcess create_model() end ==================================
  9667. 2022-01-18 15:41:39,482:INFO:Creating metrics dataframe
  9668. 2022-01-18 15:41:39,493:INFO:Initializing SVM - Linear Kernel
  9669. 2022-01-18 15:41:39,494:INFO:Total runtime is 0.433481498559316 minutes
  9670. 2022-01-18 15:41:39,499:INFO:SubProcess create_model() called ==================================
  9671. 2022-01-18 15:41:39,500:INFO:Initializing create_model()
  9672. 2022-01-18 15:41:39,500:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9673. 2022-01-18 15:41:39,500:INFO:Checking exceptions
  9674. 2022-01-18 15:41:39,500:INFO:Importing libraries
  9675. 2022-01-18 15:41:39,500:INFO:Copying training dataset
  9676. 2022-01-18 15:41:39,502:INFO:Defining folds
  9677. 2022-01-18 15:41:39,502:INFO:Declaring metric variables
  9678. 2022-01-18 15:41:39,507:INFO:Importing untrained model
  9679. 2022-01-18 15:41:39,512:INFO:SVM - Linear Kernel Imported succesfully
  9680. 2022-01-18 15:41:39,524:INFO:Starting cross validation
  9681. 2022-01-18 15:41:39,524:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9682. 2022-01-18 15:41:40,722:INFO:Calculating mean and std
  9683. 2022-01-18 15:41:40,725:INFO:Creating metrics dataframe
  9684. 2022-01-18 15:41:40,729:INFO:Uploading results into container
  9685. 2022-01-18 15:41:40,729:INFO:Uploading model into container now
  9686. 2022-01-18 15:41:40,733:INFO:create_model_container: 5
  9687. 2022-01-18 15:41:40,734:INFO:master_model_container: 5
  9688. 2022-01-18 15:41:40,734:INFO:display_container: 2
  9689. 2022-01-18 15:41:40,735:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  9690. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  9691. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  9692. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  9693. power_t=0.5, random_state=7473, shuffle=True, tol=0.001,
  9694. validation_fraction=0.1, verbose=0, warm_start=False)
  9695. 2022-01-18 15:41:40,735:INFO:create_model() succesfully completed......................................
  9696. 2022-01-18 15:41:40,827:INFO:SubProcess create_model() end ==================================
  9697. 2022-01-18 15:41:40,827:INFO:Creating metrics dataframe
  9698. 2022-01-18 15:41:40,838:INFO:Initializing Ridge Classifier
  9699. 2022-01-18 15:41:40,838:INFO:Total runtime is 0.45589210987091067 minutes
  9700. 2022-01-18 15:41:40,843:INFO:SubProcess create_model() called ==================================
  9701. 2022-01-18 15:41:40,844:INFO:Initializing create_model()
  9702. 2022-01-18 15:41:40,844:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9703. 2022-01-18 15:41:40,844:INFO:Checking exceptions
  9704. 2022-01-18 15:41:40,844:INFO:Importing libraries
  9705. 2022-01-18 15:41:40,844:INFO:Copying training dataset
  9706. 2022-01-18 15:41:40,846:INFO:Defining folds
  9707. 2022-01-18 15:41:40,846:INFO:Declaring metric variables
  9708. 2022-01-18 15:41:40,851:INFO:Importing untrained model
  9709. 2022-01-18 15:41:40,856:INFO:Ridge Classifier Imported succesfully
  9710. 2022-01-18 15:41:40,866:INFO:Starting cross validation
  9711. 2022-01-18 15:41:40,866:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9712. 2022-01-18 15:41:41,493:INFO:Calculating mean and std
  9713. 2022-01-18 15:41:41,494:INFO:Creating metrics dataframe
  9714. 2022-01-18 15:41:41,500:INFO:Uploading results into container
  9715. 2022-01-18 15:41:41,500:INFO:Uploading model into container now
  9716. 2022-01-18 15:41:41,500:INFO:create_model_container: 6
  9717. 2022-01-18 15:41:41,500:INFO:master_model_container: 6
  9718. 2022-01-18 15:41:41,501:INFO:display_container: 2
  9719. 2022-01-18 15:41:41,501:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  9720. max_iter=None, normalize=False, random_state=7473,
  9721. solver='auto', tol=0.001)
  9722. 2022-01-18 15:41:41,501:INFO:create_model() succesfully completed......................................
  9723. 2022-01-18 15:41:41,598:INFO:SubProcess create_model() end ==================================
  9724. 2022-01-18 15:41:41,598:INFO:Creating metrics dataframe
  9725. 2022-01-18 15:41:41,610:INFO:Initializing Random Forest Classifier
  9726. 2022-01-18 15:41:41,610:INFO:Total runtime is 0.4687506755193075 minutes
  9727. 2022-01-18 15:41:41,615:INFO:SubProcess create_model() called ==================================
  9728. 2022-01-18 15:41:41,615:INFO:Initializing create_model()
  9729. 2022-01-18 15:41:41,615:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9730. 2022-01-18 15:41:41,615:INFO:Checking exceptions
  9731. 2022-01-18 15:41:41,616:INFO:Importing libraries
  9732. 2022-01-18 15:41:41,616:INFO:Copying training dataset
  9733. 2022-01-18 15:41:41,617:INFO:Defining folds
  9734. 2022-01-18 15:41:41,617:INFO:Declaring metric variables
  9735. 2022-01-18 15:41:41,623:INFO:Importing untrained model
  9736. 2022-01-18 15:41:41,627:INFO:Random Forest Classifier Imported succesfully
  9737. 2022-01-18 15:41:41,638:INFO:Starting cross validation
  9738. 2022-01-18 15:41:41,638:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9739. 2022-01-18 15:41:48,145:INFO:Calculating mean and std
  9740. 2022-01-18 15:41:48,146:INFO:Creating metrics dataframe
  9741. 2022-01-18 15:41:48,148:INFO:Uploading results into container
  9742. 2022-01-18 15:41:48,149:INFO:Uploading model into container now
  9743. 2022-01-18 15:41:48,149:INFO:create_model_container: 7
  9744. 2022-01-18 15:41:48,149:INFO:master_model_container: 7
  9745. 2022-01-18 15:41:48,149:INFO:display_container: 2
  9746. 2022-01-18 15:41:48,150:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9747. criterion='gini', max_depth=None, max_features='auto',
  9748. max_leaf_nodes=None, max_samples=None,
  9749. min_impurity_decrease=0.0, min_impurity_split=None,
  9750. min_samples_leaf=1, min_samples_split=2,
  9751. min_weight_fraction_leaf=0.0, n_estimators=100,
  9752. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  9753. warm_start=False)
  9754. 2022-01-18 15:41:48,150:INFO:create_model() succesfully completed......................................
  9755. 2022-01-18 15:41:48,237:INFO:SubProcess create_model() end ==================================
  9756. 2022-01-18 15:41:48,237:INFO:Creating metrics dataframe
  9757. 2022-01-18 15:41:48,248:INFO:Initializing Quadratic Discriminant Analysis
  9758. 2022-01-18 15:41:48,248:INFO:Total runtime is 0.5793914993604025 minutes
  9759. 2022-01-18 15:41:48,253:INFO:SubProcess create_model() called ==================================
  9760. 2022-01-18 15:41:48,254:INFO:Initializing create_model()
  9761. 2022-01-18 15:41:48,254:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9762. 2022-01-18 15:41:48,254:INFO:Checking exceptions
  9763. 2022-01-18 15:41:48,254:INFO:Importing libraries
  9764. 2022-01-18 15:41:48,254:INFO:Copying training dataset
  9765. 2022-01-18 15:41:48,256:INFO:Defining folds
  9766. 2022-01-18 15:41:48,256:INFO:Declaring metric variables
  9767. 2022-01-18 15:41:48,261:INFO:Importing untrained model
  9768. 2022-01-18 15:41:48,266:INFO:Quadratic Discriminant Analysis Imported succesfully
  9769. 2022-01-18 15:41:48,276:INFO:Starting cross validation
  9770. 2022-01-18 15:41:48,276:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9771. 2022-01-18 15:41:49,361:INFO:Calculating mean and std
  9772. 2022-01-18 15:41:49,362:INFO:Creating metrics dataframe
  9773. 2022-01-18 15:41:49,369:INFO:Uploading results into container
  9774. 2022-01-18 15:41:49,371:INFO:Uploading model into container now
  9775. 2022-01-18 15:41:49,371:INFO:create_model_container: 8
  9776. 2022-01-18 15:41:49,372:INFO:master_model_container: 8
  9777. 2022-01-18 15:41:49,372:INFO:display_container: 2
  9778. 2022-01-18 15:41:49,373:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  9779. store_covariance=False, tol=0.0001)
  9780. 2022-01-18 15:41:49,373:INFO:create_model() succesfully completed......................................
  9781. 2022-01-18 15:41:49,472:INFO:SubProcess create_model() end ==================================
  9782. 2022-01-18 15:41:49,472:INFO:Creating metrics dataframe
  9783. 2022-01-18 15:41:49,484:INFO:Initializing Ada Boost Classifier
  9784. 2022-01-18 15:41:49,484:INFO:Total runtime is 0.5999911546707154 minutes
  9785. 2022-01-18 15:41:49,490:INFO:SubProcess create_model() called ==================================
  9786. 2022-01-18 15:41:49,490:INFO:Initializing create_model()
  9787. 2022-01-18 15:41:49,491:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9788. 2022-01-18 15:41:49,491:INFO:Checking exceptions
  9789. 2022-01-18 15:41:49,491:INFO:Importing libraries
  9790. 2022-01-18 15:41:49,491:INFO:Copying training dataset
  9791. 2022-01-18 15:41:49,493:INFO:Defining folds
  9792. 2022-01-18 15:41:49,493:INFO:Declaring metric variables
  9793. 2022-01-18 15:41:49,498:INFO:Importing untrained model
  9794. 2022-01-18 15:41:49,503:INFO:Ada Boost Classifier Imported succesfully
  9795. 2022-01-18 15:41:49,513:INFO:Starting cross validation
  9796. 2022-01-18 15:41:49,514:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9797. 2022-01-18 15:41:56,412:INFO:Calculating mean and std
  9798. 2022-01-18 15:41:56,413:INFO:Creating metrics dataframe
  9799. 2022-01-18 15:41:56,416:INFO:Uploading results into container
  9800. 2022-01-18 15:41:56,416:INFO:Uploading model into container now
  9801. 2022-01-18 15:41:56,416:INFO:create_model_container: 9
  9802. 2022-01-18 15:41:56,416:INFO:master_model_container: 9
  9803. 2022-01-18 15:41:56,417:INFO:display_container: 2
  9804. 2022-01-18 15:41:56,417:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  9805. n_estimators=50, random_state=7473)
  9806. 2022-01-18 15:41:56,417:INFO:create_model() succesfully completed......................................
  9807. 2022-01-18 15:41:56,500:INFO:SubProcess create_model() end ==================================
  9808. 2022-01-18 15:41:56,501:INFO:Creating metrics dataframe
  9809. 2022-01-18 15:41:56,514:INFO:Initializing Gradient Boosting Classifier
  9810. 2022-01-18 15:41:56,514:INFO:Total runtime is 0.7171598156293234 minutes
  9811. 2022-01-18 15:41:56,521:INFO:SubProcess create_model() called ==================================
  9812. 2022-01-18 15:41:56,522:INFO:Initializing create_model()
  9813. 2022-01-18 15:41:56,522:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9814. 2022-01-18 15:41:56,522:INFO:Checking exceptions
  9815. 2022-01-18 15:41:56,522:INFO:Importing libraries
  9816. 2022-01-18 15:41:56,522:INFO:Copying training dataset
  9817. 2022-01-18 15:41:56,524:INFO:Defining folds
  9818. 2022-01-18 15:41:56,524:INFO:Declaring metric variables
  9819. 2022-01-18 15:41:56,529:INFO:Importing untrained model
  9820. 2022-01-18 15:41:56,534:INFO:Gradient Boosting Classifier Imported succesfully
  9821. 2022-01-18 15:41:56,544:INFO:Starting cross validation
  9822. 2022-01-18 15:41:56,545:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9823. 2022-01-18 15:42:18,613:INFO:Calculating mean and std
  9824. 2022-01-18 15:42:18,614:INFO:Creating metrics dataframe
  9825. 2022-01-18 15:42:18,616:INFO:Uploading results into container
  9826. 2022-01-18 15:42:18,616:INFO:Uploading model into container now
  9827. 2022-01-18 15:42:18,617:INFO:create_model_container: 10
  9828. 2022-01-18 15:42:18,617:INFO:master_model_container: 10
  9829. 2022-01-18 15:42:18,617:INFO:display_container: 2
  9830. 2022-01-18 15:42:18,618:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  9831. learning_rate=0.1, loss='deviance', max_depth=3,
  9832. max_features=None, max_leaf_nodes=None,
  9833. min_impurity_decrease=0.0, min_impurity_split=None,
  9834. min_samples_leaf=1, min_samples_split=2,
  9835. min_weight_fraction_leaf=0.0, n_estimators=100,
  9836. n_iter_no_change=None, presort='deprecated',
  9837. random_state=7473, subsample=1.0, tol=0.0001,
  9838. validation_fraction=0.1, verbose=0,
  9839. warm_start=False)
  9840. 2022-01-18 15:42:18,618:INFO:create_model() succesfully completed......................................
  9841. 2022-01-18 15:42:18,700:INFO:SubProcess create_model() end ==================================
  9842. 2022-01-18 15:42:18,701:INFO:Creating metrics dataframe
  9843. 2022-01-18 15:42:18,713:INFO:Initializing Linear Discriminant Analysis
  9844. 2022-01-18 15:42:18,713:INFO:Total runtime is 1.0871387481689454 minutes
  9845. 2022-01-18 15:42:18,719:INFO:SubProcess create_model() called ==================================
  9846. 2022-01-18 15:42:18,719:INFO:Initializing create_model()
  9847. 2022-01-18 15:42:18,719:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9848. 2022-01-18 15:42:18,719:INFO:Checking exceptions
  9849. 2022-01-18 15:42:18,720:INFO:Importing libraries
  9850. 2022-01-18 15:42:18,720:INFO:Copying training dataset
  9851. 2022-01-18 15:42:18,721:INFO:Defining folds
  9852. 2022-01-18 15:42:18,721:INFO:Declaring metric variables
  9853. 2022-01-18 15:42:18,726:INFO:Importing untrained model
  9854. 2022-01-18 15:42:18,731:INFO:Linear Discriminant Analysis Imported succesfully
  9855. 2022-01-18 15:42:18,741:INFO:Starting cross validation
  9856. 2022-01-18 15:42:18,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9857. 2022-01-18 15:42:20,528:INFO:Calculating mean and std
  9858. 2022-01-18 15:42:20,529:INFO:Creating metrics dataframe
  9859. 2022-01-18 15:42:20,536:INFO:Uploading results into container
  9860. 2022-01-18 15:42:20,537:INFO:Uploading model into container now
  9861. 2022-01-18 15:42:20,538:INFO:create_model_container: 11
  9862. 2022-01-18 15:42:20,538:INFO:master_model_container: 11
  9863. 2022-01-18 15:42:20,538:INFO:display_container: 2
  9864. 2022-01-18 15:42:20,538:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  9865. solver='svd', store_covariance=False, tol=0.0001)
  9866. 2022-01-18 15:42:20,539:INFO:create_model() succesfully completed......................................
  9867. 2022-01-18 15:42:20,639:INFO:SubProcess create_model() end ==================================
  9868. 2022-01-18 15:42:20,639:INFO:Creating metrics dataframe
  9869. 2022-01-18 15:42:20,652:INFO:Initializing Extra Trees Classifier
  9870. 2022-01-18 15:42:20,652:INFO:Total runtime is 1.1194572885831198 minutes
  9871. 2022-01-18 15:42:20,657:INFO:SubProcess create_model() called ==================================
  9872. 2022-01-18 15:42:20,658:INFO:Initializing create_model()
  9873. 2022-01-18 15:42:20,658:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9874. 2022-01-18 15:42:20,658:INFO:Checking exceptions
  9875. 2022-01-18 15:42:20,658:INFO:Importing libraries
  9876. 2022-01-18 15:42:20,658:INFO:Copying training dataset
  9877. 2022-01-18 15:42:20,660:INFO:Defining folds
  9878. 2022-01-18 15:42:20,660:INFO:Declaring metric variables
  9879. 2022-01-18 15:42:20,665:INFO:Importing untrained model
  9880. 2022-01-18 15:42:20,669:INFO:Extra Trees Classifier Imported succesfully
  9881. 2022-01-18 15:42:20,679:INFO:Starting cross validation
  9882. 2022-01-18 15:42:20,680:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9883. 2022-01-18 15:42:27,358:INFO:Calculating mean and std
  9884. 2022-01-18 15:42:27,359:INFO:Creating metrics dataframe
  9885. 2022-01-18 15:42:27,361:INFO:Uploading results into container
  9886. 2022-01-18 15:42:27,361:INFO:Uploading model into container now
  9887. 2022-01-18 15:42:27,362:INFO:create_model_container: 12
  9888. 2022-01-18 15:42:27,362:INFO:master_model_container: 12
  9889. 2022-01-18 15:42:27,362:INFO:display_container: 2
  9890. 2022-01-18 15:42:27,362:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  9891. criterion='gini', max_depth=None, max_features='auto',
  9892. max_leaf_nodes=None, max_samples=None,
  9893. min_impurity_decrease=0.0, min_impurity_split=None,
  9894. min_samples_leaf=1, min_samples_split=2,
  9895. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  9896. oob_score=False, random_state=7473, verbose=0,
  9897. warm_start=False)
  9898. 2022-01-18 15:42:27,363:INFO:create_model() succesfully completed......................................
  9899. 2022-01-18 15:42:27,457:INFO:SubProcess create_model() end ==================================
  9900. 2022-01-18 15:42:27,457:INFO:Creating metrics dataframe
  9901. 2022-01-18 15:42:27,471:INFO:Initializing Light Gradient Boosting Machine
  9902. 2022-01-18 15:42:27,471:INFO:Total runtime is 1.2331105828285218 minutes
  9903. 2022-01-18 15:42:27,477:INFO:SubProcess create_model() called ==================================
  9904. 2022-01-18 15:42:27,478:INFO:Initializing create_model()
  9905. 2022-01-18 15:42:27,478:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9906. 2022-01-18 15:42:27,478:INFO:Checking exceptions
  9907. 2022-01-18 15:42:27,478:INFO:Importing libraries
  9908. 2022-01-18 15:42:27,478:INFO:Copying training dataset
  9909. 2022-01-18 15:42:27,480:INFO:Defining folds
  9910. 2022-01-18 15:42:27,480:INFO:Declaring metric variables
  9911. 2022-01-18 15:42:27,485:INFO:Importing untrained model
  9912. 2022-01-18 15:42:27,491:INFO:Light Gradient Boosting Machine Imported succesfully
  9913. 2022-01-18 15:42:27,501:INFO:Starting cross validation
  9914. 2022-01-18 15:42:27,502:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9915. 2022-01-18 15:42:31,599:INFO:Calculating mean and std
  9916. 2022-01-18 15:42:31,600:INFO:Creating metrics dataframe
  9917. 2022-01-18 15:42:31,603:INFO:Uploading results into container
  9918. 2022-01-18 15:42:31,603:INFO:Uploading model into container now
  9919. 2022-01-18 15:42:31,603:INFO:create_model_container: 13
  9920. 2022-01-18 15:42:31,603:INFO:master_model_container: 13
  9921. 2022-01-18 15:42:31,603:INFO:display_container: 2
  9922. 2022-01-18 15:42:31,604:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  9923. importance_type='split', learning_rate=0.1, max_depth=-1,
  9924. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  9925. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  9926. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  9927. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  9928. 2022-01-18 15:42:31,604:INFO:create_model() succesfully completed......................................
  9929. 2022-01-18 15:42:31,685:INFO:SubProcess create_model() end ==================================
  9930. 2022-01-18 15:42:31,685:INFO:Creating metrics dataframe
  9931. 2022-01-18 15:42:31,699:INFO:Initializing Dummy Classifier
  9932. 2022-01-18 15:42:31,699:INFO:Total runtime is 1.3035667260487875 minutes
  9933. 2022-01-18 15:42:31,704:INFO:SubProcess create_model() called ==================================
  9934. 2022-01-18 15:42:31,705:INFO:Initializing create_model()
  9935. 2022-01-18 15:42:31,705:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9936. 2022-01-18 15:42:31,705:INFO:Checking exceptions
  9937. 2022-01-18 15:42:31,705:INFO:Importing libraries
  9938. 2022-01-18 15:42:31,705:INFO:Copying training dataset
  9939. 2022-01-18 15:42:31,707:INFO:Defining folds
  9940. 2022-01-18 15:42:31,707:INFO:Declaring metric variables
  9941. 2022-01-18 15:42:31,712:INFO:Importing untrained model
  9942. 2022-01-18 15:42:31,717:INFO:Dummy Classifier Imported succesfully
  9943. 2022-01-18 15:42:31,730:INFO:Starting cross validation
  9944. 2022-01-18 15:42:31,731:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9945. 2022-01-18 15:42:31,859:INFO:Calculating mean and std
  9946. 2022-01-18 15:42:31,860:INFO:Creating metrics dataframe
  9947. 2022-01-18 15:42:31,863:INFO:Uploading results into container
  9948. 2022-01-18 15:42:31,863:INFO:Uploading model into container now
  9949. 2022-01-18 15:42:31,863:INFO:create_model_container: 14
  9950. 2022-01-18 15:42:31,863:INFO:master_model_container: 14
  9951. 2022-01-18 15:42:31,863:INFO:display_container: 2
  9952. 2022-01-18 15:42:31,864:INFO:DummyClassifier(constant=None, random_state=7473, strategy='prior')
  9953. 2022-01-18 15:42:31,864:INFO:create_model() succesfully completed......................................
  9954. 2022-01-18 15:42:31,951:INFO:SubProcess create_model() end ==================================
  9955. 2022-01-18 15:42:31,951:INFO:Creating metrics dataframe
  9956. 2022-01-18 15:42:31,976:INFO:Initializing create_model()
  9957. 2022-01-18 15:42:31,976:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9958. criterion='gini', max_depth=None, max_features='auto',
  9959. max_leaf_nodes=None, max_samples=None,
  9960. min_impurity_decrease=0.0, min_impurity_split=None,
  9961. min_samples_leaf=1, min_samples_split=2,
  9962. min_weight_fraction_leaf=0.0, n_estimators=100,
  9963. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  9964. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  9965. 2022-01-18 15:42:31,976:INFO:Checking exceptions
  9966. 2022-01-18 15:42:31,976:INFO:Importing libraries
  9967. 2022-01-18 15:42:31,977:INFO:Copying training dataset
  9968. 2022-01-18 15:42:31,977:INFO:Defining folds
  9969. 2022-01-18 15:42:31,978:INFO:Declaring metric variables
  9970. 2022-01-18 15:42:31,978:INFO:Importing untrained model
  9971. 2022-01-18 15:42:31,978:INFO:Declaring custom model
  9972. 2022-01-18 15:42:31,979:INFO:Random Forest Classifier Imported succesfully
  9973. 2022-01-18 15:42:31,979:INFO:Cross validation set to False
  9974. 2022-01-18 15:42:31,979:INFO:Fitting Model
  9975. 2022-01-18 15:42:32,363:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9976. criterion='gini', max_depth=None, max_features='auto',
  9977. max_leaf_nodes=None, max_samples=None,
  9978. min_impurity_decrease=0.0, min_impurity_split=None,
  9979. min_samples_leaf=1, min_samples_split=2,
  9980. min_weight_fraction_leaf=0.0, n_estimators=100,
  9981. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  9982. warm_start=False)
  9983. 2022-01-18 15:42:32,364:INFO:create_models() succesfully completed......................................
  9984. 2022-01-18 15:42:32,473:INFO:create_model_container: 14
  9985. 2022-01-18 15:42:32,474:INFO:master_model_container: 14
  9986. 2022-01-18 15:42:32,474:INFO:display_container: 2
  9987. 2022-01-18 15:42:32,474:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9988. criterion='gini', max_depth=None, max_features='auto',
  9989. max_leaf_nodes=None, max_samples=None,
  9990. min_impurity_decrease=0.0, min_impurity_split=None,
  9991. min_samples_leaf=1, min_samples_split=2,
  9992. min_weight_fraction_leaf=0.0, n_estimators=100,
  9993. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  9994. warm_start=False)
  9995. 2022-01-18 15:42:32,474:INFO:compare_models() succesfully completed......................................
  9996. 2022-01-18 15:44:30,879:INFO:Initializing compare_models()
  9997. 2022-01-18 15:44:30,879:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  9998. 2022-01-18 15:44:30,879:INFO:Checking exceptions
  9999. 2022-01-18 15:44:30,880:INFO:Preparing display monitor
  10000. 2022-01-18 15:44:30,881:INFO:Preparing display monitor
  10001. 2022-01-18 15:44:30,897:INFO:Initializing Logistic Regression
  10002. 2022-01-18 15:44:30,897:INFO:Total runtime is 5.618731180826823e-06 minutes
  10003. 2022-01-18 15:44:30,903:INFO:SubProcess create_model() called ==================================
  10004. 2022-01-18 15:44:30,903:INFO:Initializing create_model()
  10005. 2022-01-18 15:44:30,903:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10006. 2022-01-18 15:44:30,904:INFO:Checking exceptions
  10007. 2022-01-18 15:44:30,904:INFO:Importing libraries
  10008. 2022-01-18 15:44:30,904:INFO:Copying training dataset
  10009. 2022-01-18 15:44:30,905:INFO:Defining folds
  10010. 2022-01-18 15:44:30,906:INFO:Declaring metric variables
  10011. 2022-01-18 15:44:30,911:INFO:Importing untrained model
  10012. 2022-01-18 15:44:30,916:INFO:Logistic Regression Imported succesfully
  10013. 2022-01-18 15:44:30,926:INFO:Starting cross validation
  10014. 2022-01-18 15:44:30,927:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10015. 2022-01-18 15:44:37,887:INFO:Calculating mean and std
  10016. 2022-01-18 15:44:37,888:INFO:Creating metrics dataframe
  10017. 2022-01-18 15:44:37,893:INFO:Uploading results into container
  10018. 2022-01-18 15:44:37,893:INFO:Uploading model into container now
  10019. 2022-01-18 15:44:37,893:INFO:create_model_container: 15
  10020. 2022-01-18 15:44:37,894:INFO:master_model_container: 15
  10021. 2022-01-18 15:44:37,894:INFO:display_container: 3
  10022. 2022-01-18 15:44:37,895:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  10023. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  10024. multi_class='auto', n_jobs=None, penalty='l2',
  10025. random_state=7473, solver='lbfgs', tol=0.0001, verbose=0,
  10026. warm_start=False)
  10027. 2022-01-18 15:44:37,895:INFO:create_model() succesfully completed......................................
  10028. 2022-01-18 15:44:37,993:INFO:SubProcess create_model() end ==================================
  10029. 2022-01-18 15:44:37,993:INFO:Creating metrics dataframe
  10030. 2022-01-18 15:44:38,003:INFO:Initializing K Neighbors Classifier
  10031. 2022-01-18 15:44:38,003:INFO:Total runtime is 0.11843294302622477 minutes
  10032. 2022-01-18 15:44:38,008:INFO:SubProcess create_model() called ==================================
  10033. 2022-01-18 15:44:38,009:INFO:Initializing create_model()
  10034. 2022-01-18 15:44:38,009:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10035. 2022-01-18 15:44:38,009:INFO:Checking exceptions
  10036. 2022-01-18 15:44:38,009:INFO:Importing libraries
  10037. 2022-01-18 15:44:38,009:INFO:Copying training dataset
  10038. 2022-01-18 15:44:38,011:INFO:Defining folds
  10039. 2022-01-18 15:44:38,011:INFO:Declaring metric variables
  10040. 2022-01-18 15:44:38,016:INFO:Importing untrained model
  10041. 2022-01-18 15:44:38,021:INFO:K Neighbors Classifier Imported succesfully
  10042. 2022-01-18 15:44:38,031:INFO:Starting cross validation
  10043. 2022-01-18 15:44:38,032:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10044. 2022-01-18 15:44:54,098:INFO:Calculating mean and std
  10045. 2022-01-18 15:44:54,099:INFO:Creating metrics dataframe
  10046. 2022-01-18 15:44:54,102:INFO:Uploading results into container
  10047. 2022-01-18 15:44:54,102:INFO:Uploading model into container now
  10048. 2022-01-18 15:44:54,102:INFO:create_model_container: 16
  10049. 2022-01-18 15:44:54,102:INFO:master_model_container: 16
  10050. 2022-01-18 15:44:54,102:INFO:display_container: 3
  10051. 2022-01-18 15:44:54,103:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10052. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10053. weights='uniform')
  10054. 2022-01-18 15:44:54,103:INFO:create_model() succesfully completed......................................
  10055. 2022-01-18 15:44:54,180:INFO:SubProcess create_model() end ==================================
  10056. 2022-01-18 15:44:54,180:INFO:Creating metrics dataframe
  10057. 2022-01-18 15:44:54,191:INFO:Initializing Naive Bayes
  10058. 2022-01-18 15:44:54,191:INFO:Total runtime is 0.3882308006286621 minutes
  10059. 2022-01-18 15:44:54,196:INFO:SubProcess create_model() called ==================================
  10060. 2022-01-18 15:44:54,196:INFO:Initializing create_model()
  10061. 2022-01-18 15:44:54,196:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10062. 2022-01-18 15:44:54,197:INFO:Checking exceptions
  10063. 2022-01-18 15:44:54,197:INFO:Importing libraries
  10064. 2022-01-18 15:44:54,197:INFO:Copying training dataset
  10065. 2022-01-18 15:44:54,198:INFO:Defining folds
  10066. 2022-01-18 15:44:54,198:INFO:Declaring metric variables
  10067. 2022-01-18 15:44:54,203:INFO:Importing untrained model
  10068. 2022-01-18 15:44:54,208:INFO:Naive Bayes Imported succesfully
  10069. 2022-01-18 15:44:54,218:INFO:Starting cross validation
  10070. 2022-01-18 15:44:54,219:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10071. 2022-01-18 15:44:54,482:INFO:Calculating mean and std
  10072. 2022-01-18 15:44:54,482:INFO:Creating metrics dataframe
  10073. 2022-01-18 15:44:54,485:INFO:Uploading results into container
  10074. 2022-01-18 15:44:54,485:INFO:Uploading model into container now
  10075. 2022-01-18 15:44:54,485:INFO:create_model_container: 17
  10076. 2022-01-18 15:44:54,485:INFO:master_model_container: 17
  10077. 2022-01-18 15:44:54,486:INFO:display_container: 3
  10078. 2022-01-18 15:44:54,486:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  10079. 2022-01-18 15:44:54,486:INFO:create_model() succesfully completed......................................
  10080. 2022-01-18 15:44:54,568:INFO:SubProcess create_model() end ==================================
  10081. 2022-01-18 15:44:54,568:INFO:Creating metrics dataframe
  10082. 2022-01-18 15:44:54,579:INFO:Initializing Decision Tree Classifier
  10083. 2022-01-18 15:44:54,580:INFO:Total runtime is 0.3947117765744527 minutes
  10084. 2022-01-18 15:44:54,585:INFO:SubProcess create_model() called ==================================
  10085. 2022-01-18 15:44:54,586:INFO:Initializing create_model()
  10086. 2022-01-18 15:44:54,586:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10087. 2022-01-18 15:44:54,586:INFO:Checking exceptions
  10088. 2022-01-18 15:44:54,586:INFO:Importing libraries
  10089. 2022-01-18 15:44:54,587:INFO:Copying training dataset
  10090. 2022-01-18 15:44:54,588:INFO:Defining folds
  10091. 2022-01-18 15:44:54,588:INFO:Declaring metric variables
  10092. 2022-01-18 15:44:54,593:INFO:Importing untrained model
  10093. 2022-01-18 15:44:54,598:INFO:Decision Tree Classifier Imported succesfully
  10094. 2022-01-18 15:44:54,609:INFO:Starting cross validation
  10095. 2022-01-18 15:44:54,609:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10096. 2022-01-18 15:44:55,506:INFO:Calculating mean and std
  10097. 2022-01-18 15:44:55,507:INFO:Creating metrics dataframe
  10098. 2022-01-18 15:44:55,510:INFO:Uploading results into container
  10099. 2022-01-18 15:44:55,510:INFO:Uploading model into container now
  10100. 2022-01-18 15:44:55,510:INFO:create_model_container: 18
  10101. 2022-01-18 15:44:55,510:INFO:master_model_container: 18
  10102. 2022-01-18 15:44:55,511:INFO:display_container: 3
  10103. 2022-01-18 15:44:55,511:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10104. max_depth=None, max_features=None, max_leaf_nodes=None,
  10105. min_impurity_decrease=0.0, min_impurity_split=None,
  10106. min_samples_leaf=1, min_samples_split=2,
  10107. min_weight_fraction_leaf=0.0, presort='deprecated',
  10108. random_state=7473, splitter='best')
  10109. 2022-01-18 15:44:55,511:INFO:create_model() succesfully completed......................................
  10110. 2022-01-18 15:44:55,591:INFO:SubProcess create_model() end ==================================
  10111. 2022-01-18 15:44:55,591:INFO:Creating metrics dataframe
  10112. 2022-01-18 15:44:55,602:INFO:Initializing SVM - Linear Kernel
  10113. 2022-01-18 15:44:55,602:INFO:Total runtime is 0.41175559361775715 minutes
  10114. 2022-01-18 15:44:55,608:INFO:SubProcess create_model() called ==================================
  10115. 2022-01-18 15:44:55,608:INFO:Initializing create_model()
  10116. 2022-01-18 15:44:55,608:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10117. 2022-01-18 15:44:55,608:INFO:Checking exceptions
  10118. 2022-01-18 15:44:55,609:INFO:Importing libraries
  10119. 2022-01-18 15:44:55,609:INFO:Copying training dataset
  10120. 2022-01-18 15:44:55,610:INFO:Defining folds
  10121. 2022-01-18 15:44:55,610:INFO:Declaring metric variables
  10122. 2022-01-18 15:44:55,615:INFO:Importing untrained model
  10123. 2022-01-18 15:44:55,620:INFO:SVM - Linear Kernel Imported succesfully
  10124. 2022-01-18 15:44:55,629:INFO:Starting cross validation
  10125. 2022-01-18 15:44:55,630:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10126. 2022-01-18 15:44:56,888:INFO:Calculating mean and std
  10127. 2022-01-18 15:44:56,889:INFO:Creating metrics dataframe
  10128. 2022-01-18 15:44:56,893:INFO:Uploading results into container
  10129. 2022-01-18 15:44:56,897:INFO:Uploading model into container now
  10130. 2022-01-18 15:44:56,899:INFO:create_model_container: 19
  10131. 2022-01-18 15:44:56,899:INFO:master_model_container: 19
  10132. 2022-01-18 15:44:56,899:INFO:display_container: 3
  10133. 2022-01-18 15:44:56,900:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  10134. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  10135. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  10136. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  10137. power_t=0.5, random_state=7473, shuffle=True, tol=0.001,
  10138. validation_fraction=0.1, verbose=0, warm_start=False)
  10139. 2022-01-18 15:44:56,902:INFO:create_model() succesfully completed......................................
  10140. 2022-01-18 15:44:56,999:INFO:SubProcess create_model() end ==================================
  10141. 2022-01-18 15:44:56,999:INFO:Creating metrics dataframe
  10142. 2022-01-18 15:44:57,011:INFO:Initializing Ridge Classifier
  10143. 2022-01-18 15:44:57,011:INFO:Total runtime is 0.43523983160654706 minutes
  10144. 2022-01-18 15:44:57,018:INFO:SubProcess create_model() called ==================================
  10145. 2022-01-18 15:44:57,018:INFO:Initializing create_model()
  10146. 2022-01-18 15:44:57,019:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10147. 2022-01-18 15:44:57,019:INFO:Checking exceptions
  10148. 2022-01-18 15:44:57,019:INFO:Importing libraries
  10149. 2022-01-18 15:44:57,019:INFO:Copying training dataset
  10150. 2022-01-18 15:44:57,021:INFO:Defining folds
  10151. 2022-01-18 15:44:57,021:INFO:Declaring metric variables
  10152. 2022-01-18 15:44:57,029:INFO:Importing untrained model
  10153. 2022-01-18 15:44:57,036:INFO:Ridge Classifier Imported succesfully
  10154. 2022-01-18 15:44:57,053:INFO:Starting cross validation
  10155. 2022-01-18 15:44:57,054:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10156. 2022-01-18 15:44:57,608:INFO:Calculating mean and std
  10157. 2022-01-18 15:44:57,611:INFO:Creating metrics dataframe
  10158. 2022-01-18 15:44:57,616:INFO:Uploading results into container
  10159. 2022-01-18 15:44:57,617:INFO:Uploading model into container now
  10160. 2022-01-18 15:44:57,622:INFO:create_model_container: 20
  10161. 2022-01-18 15:44:57,624:INFO:master_model_container: 20
  10162. 2022-01-18 15:44:57,627:INFO:display_container: 3
  10163. 2022-01-18 15:44:57,629:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  10164. max_iter=None, normalize=False, random_state=7473,
  10165. solver='auto', tol=0.001)
  10166. 2022-01-18 15:44:57,631:INFO:create_model() succesfully completed......................................
  10167. 2022-01-18 15:44:57,730:INFO:SubProcess create_model() end ==================================
  10168. 2022-01-18 15:44:57,730:INFO:Creating metrics dataframe
  10169. 2022-01-18 15:44:57,741:INFO:Initializing Random Forest Classifier
  10170. 2022-01-18 15:44:57,741:INFO:Total runtime is 0.4474069118499756 minutes
  10171. 2022-01-18 15:44:57,747:INFO:SubProcess create_model() called ==================================
  10172. 2022-01-18 15:44:57,747:INFO:Initializing create_model()
  10173. 2022-01-18 15:44:57,747:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10174. 2022-01-18 15:44:57,747:INFO:Checking exceptions
  10175. 2022-01-18 15:44:57,748:INFO:Importing libraries
  10176. 2022-01-18 15:44:57,748:INFO:Copying training dataset
  10177. 2022-01-18 15:44:57,749:INFO:Defining folds
  10178. 2022-01-18 15:44:57,749:INFO:Declaring metric variables
  10179. 2022-01-18 15:44:57,755:INFO:Importing untrained model
  10180. 2022-01-18 15:44:57,760:INFO:Random Forest Classifier Imported succesfully
  10181. 2022-01-18 15:44:57,769:INFO:Starting cross validation
  10182. 2022-01-18 15:44:57,770:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10183. 2022-01-18 15:45:04,305:INFO:Calculating mean and std
  10184. 2022-01-18 15:45:04,307:INFO:Creating metrics dataframe
  10185. 2022-01-18 15:45:04,309:INFO:Uploading results into container
  10186. 2022-01-18 15:45:04,310:INFO:Uploading model into container now
  10187. 2022-01-18 15:45:04,310:INFO:create_model_container: 21
  10188. 2022-01-18 15:45:04,310:INFO:master_model_container: 21
  10189. 2022-01-18 15:45:04,310:INFO:display_container: 3
  10190. 2022-01-18 15:45:04,311:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10191. criterion='gini', max_depth=None, max_features='auto',
  10192. max_leaf_nodes=None, max_samples=None,
  10193. min_impurity_decrease=0.0, min_impurity_split=None,
  10194. min_samples_leaf=1, min_samples_split=2,
  10195. min_weight_fraction_leaf=0.0, n_estimators=100,
  10196. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10197. warm_start=False)
  10198. 2022-01-18 15:45:04,311:INFO:create_model() succesfully completed......................................
  10199. 2022-01-18 15:45:04,398:INFO:SubProcess create_model() end ==================================
  10200. 2022-01-18 15:45:04,399:INFO:Creating metrics dataframe
  10201. 2022-01-18 15:45:04,410:INFO:Initializing Quadratic Discriminant Analysis
  10202. 2022-01-18 15:45:04,410:INFO:Total runtime is 0.5585548082987468 minutes
  10203. 2022-01-18 15:45:04,416:INFO:SubProcess create_model() called ==================================
  10204. 2022-01-18 15:45:04,416:INFO:Initializing create_model()
  10205. 2022-01-18 15:45:04,416:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10206. 2022-01-18 15:45:04,416:INFO:Checking exceptions
  10207. 2022-01-18 15:45:04,416:INFO:Importing libraries
  10208. 2022-01-18 15:45:04,416:INFO:Copying training dataset
  10209. 2022-01-18 15:45:04,418:INFO:Defining folds
  10210. 2022-01-18 15:45:04,418:INFO:Declaring metric variables
  10211. 2022-01-18 15:45:04,422:INFO:Importing untrained model
  10212. 2022-01-18 15:45:04,427:INFO:Quadratic Discriminant Analysis Imported succesfully
  10213. 2022-01-18 15:45:04,437:INFO:Starting cross validation
  10214. 2022-01-18 15:45:04,437:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10215. 2022-01-18 15:45:05,629:INFO:Calculating mean and std
  10216. 2022-01-18 15:45:05,630:INFO:Creating metrics dataframe
  10217. 2022-01-18 15:45:05,635:INFO:Uploading results into container
  10218. 2022-01-18 15:45:05,635:INFO:Uploading model into container now
  10219. 2022-01-18 15:45:05,636:INFO:create_model_container: 22
  10220. 2022-01-18 15:45:05,636:INFO:master_model_container: 22
  10221. 2022-01-18 15:45:05,637:INFO:display_container: 3
  10222. 2022-01-18 15:45:05,638:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  10223. store_covariance=False, tol=0.0001)
  10224. 2022-01-18 15:45:05,641:INFO:create_model() succesfully completed......................................
  10225. 2022-01-18 15:45:05,734:INFO:SubProcess create_model() end ==================================
  10226. 2022-01-18 15:45:05,734:INFO:Creating metrics dataframe
  10227. 2022-01-18 15:45:05,747:INFO:Initializing Ada Boost Classifier
  10228. 2022-01-18 15:45:05,747:INFO:Total runtime is 0.5808298667271933 minutes
  10229. 2022-01-18 15:45:05,752:INFO:SubProcess create_model() called ==================================
  10230. 2022-01-18 15:45:05,753:INFO:Initializing create_model()
  10231. 2022-01-18 15:45:05,753:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10232. 2022-01-18 15:45:05,753:INFO:Checking exceptions
  10233. 2022-01-18 15:45:05,754:INFO:Importing libraries
  10234. 2022-01-18 15:45:05,754:INFO:Copying training dataset
  10235. 2022-01-18 15:45:05,755:INFO:Defining folds
  10236. 2022-01-18 15:45:05,755:INFO:Declaring metric variables
  10237. 2022-01-18 15:45:05,761:INFO:Importing untrained model
  10238. 2022-01-18 15:45:05,766:INFO:Ada Boost Classifier Imported succesfully
  10239. 2022-01-18 15:45:05,778:INFO:Starting cross validation
  10240. 2022-01-18 15:45:05,779:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10241. 2022-01-18 15:45:12,606:INFO:Calculating mean and std
  10242. 2022-01-18 15:45:12,607:INFO:Creating metrics dataframe
  10243. 2022-01-18 15:45:12,610:INFO:Uploading results into container
  10244. 2022-01-18 15:45:12,610:INFO:Uploading model into container now
  10245. 2022-01-18 15:45:12,610:INFO:create_model_container: 23
  10246. 2022-01-18 15:45:12,610:INFO:master_model_container: 23
  10247. 2022-01-18 15:45:12,610:INFO:display_container: 3
  10248. 2022-01-18 15:45:12,610:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  10249. n_estimators=50, random_state=7473)
  10250. 2022-01-18 15:45:12,611:INFO:create_model() succesfully completed......................................
  10251. 2022-01-18 15:45:12,687:INFO:SubProcess create_model() end ==================================
  10252. 2022-01-18 15:45:12,687:INFO:Creating metrics dataframe
  10253. 2022-01-18 15:45:12,699:INFO:Initializing Gradient Boosting Classifier
  10254. 2022-01-18 15:45:12,699:INFO:Total runtime is 0.6967039148012798 minutes
  10255. 2022-01-18 15:45:12,705:INFO:SubProcess create_model() called ==================================
  10256. 2022-01-18 15:45:12,705:INFO:Initializing create_model()
  10257. 2022-01-18 15:45:12,706:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10258. 2022-01-18 15:45:12,706:INFO:Checking exceptions
  10259. 2022-01-18 15:45:12,706:INFO:Importing libraries
  10260. 2022-01-18 15:45:12,706:INFO:Copying training dataset
  10261. 2022-01-18 15:45:12,707:INFO:Defining folds
  10262. 2022-01-18 15:45:12,707:INFO:Declaring metric variables
  10263. 2022-01-18 15:45:12,712:INFO:Importing untrained model
  10264. 2022-01-18 15:45:12,717:INFO:Gradient Boosting Classifier Imported succesfully
  10265. 2022-01-18 15:45:12,727:INFO:Starting cross validation
  10266. 2022-01-18 15:45:12,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10267. 2022-01-18 15:45:34,929:INFO:Calculating mean and std
  10268. 2022-01-18 15:45:34,930:INFO:Creating metrics dataframe
  10269. 2022-01-18 15:45:34,932:INFO:Uploading results into container
  10270. 2022-01-18 15:45:34,932:INFO:Uploading model into container now
  10271. 2022-01-18 15:45:34,932:INFO:create_model_container: 24
  10272. 2022-01-18 15:45:34,932:INFO:master_model_container: 24
  10273. 2022-01-18 15:45:34,933:INFO:display_container: 3
  10274. 2022-01-18 15:45:34,933:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10275. learning_rate=0.1, loss='deviance', max_depth=3,
  10276. max_features=None, max_leaf_nodes=None,
  10277. min_impurity_decrease=0.0, min_impurity_split=None,
  10278. min_samples_leaf=1, min_samples_split=2,
  10279. min_weight_fraction_leaf=0.0, n_estimators=100,
  10280. n_iter_no_change=None, presort='deprecated',
  10281. random_state=7473, subsample=1.0, tol=0.0001,
  10282. validation_fraction=0.1, verbose=0,
  10283. warm_start=False)
  10284. 2022-01-18 15:45:34,933:INFO:create_model() succesfully completed......................................
  10285. 2022-01-18 15:45:35,009:INFO:SubProcess create_model() end ==================================
  10286. 2022-01-18 15:45:35,009:INFO:Creating metrics dataframe
  10287. 2022-01-18 15:45:35,021:INFO:Initializing Linear Discriminant Analysis
  10288. 2022-01-18 15:45:35,021:INFO:Total runtime is 1.0687391678492228 minutes
  10289. 2022-01-18 15:45:35,027:INFO:SubProcess create_model() called ==================================
  10290. 2022-01-18 15:45:35,027:INFO:Initializing create_model()
  10291. 2022-01-18 15:45:35,027:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10292. 2022-01-18 15:45:35,027:INFO:Checking exceptions
  10293. 2022-01-18 15:45:35,028:INFO:Importing libraries
  10294. 2022-01-18 15:45:35,028:INFO:Copying training dataset
  10295. 2022-01-18 15:45:35,029:INFO:Defining folds
  10296. 2022-01-18 15:45:35,029:INFO:Declaring metric variables
  10297. 2022-01-18 15:45:35,035:INFO:Importing untrained model
  10298. 2022-01-18 15:45:35,040:INFO:Linear Discriminant Analysis Imported succesfully
  10299. 2022-01-18 15:45:35,049:INFO:Starting cross validation
  10300. 2022-01-18 15:45:35,050:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10301. 2022-01-18 15:45:36,973:INFO:Calculating mean and std
  10302. 2022-01-18 15:45:36,975:INFO:Creating metrics dataframe
  10303. 2022-01-18 15:45:36,978:INFO:Uploading results into container
  10304. 2022-01-18 15:45:36,982:INFO:Uploading model into container now
  10305. 2022-01-18 15:45:36,982:INFO:create_model_container: 25
  10306. 2022-01-18 15:45:36,982:INFO:master_model_container: 25
  10307. 2022-01-18 15:45:36,982:INFO:display_container: 3
  10308. 2022-01-18 15:45:36,983:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  10309. solver='svd', store_covariance=False, tol=0.0001)
  10310. 2022-01-18 15:45:36,983:INFO:create_model() succesfully completed......................................
  10311. 2022-01-18 15:45:37,091:INFO:SubProcess create_model() end ==================================
  10312. 2022-01-18 15:45:37,091:INFO:Creating metrics dataframe
  10313. 2022-01-18 15:45:37,104:INFO:Initializing Extra Trees Classifier
  10314. 2022-01-18 15:45:37,104:INFO:Total runtime is 1.103451669216156 minutes
  10315. 2022-01-18 15:45:37,110:INFO:SubProcess create_model() called ==================================
  10316. 2022-01-18 15:45:37,110:INFO:Initializing create_model()
  10317. 2022-01-18 15:45:37,110:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10318. 2022-01-18 15:45:37,110:INFO:Checking exceptions
  10319. 2022-01-18 15:45:37,110:INFO:Importing libraries
  10320. 2022-01-18 15:45:37,110:INFO:Copying training dataset
  10321. 2022-01-18 15:45:37,112:INFO:Defining folds
  10322. 2022-01-18 15:45:37,112:INFO:Declaring metric variables
  10323. 2022-01-18 15:45:37,117:INFO:Importing untrained model
  10324. 2022-01-18 15:45:37,122:INFO:Extra Trees Classifier Imported succesfully
  10325. 2022-01-18 15:45:37,132:INFO:Starting cross validation
  10326. 2022-01-18 15:45:37,133:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10327. 2022-01-18 15:45:43,860:INFO:Calculating mean and std
  10328. 2022-01-18 15:45:43,860:INFO:Creating metrics dataframe
  10329. 2022-01-18 15:45:43,863:INFO:Uploading results into container
  10330. 2022-01-18 15:45:43,863:INFO:Uploading model into container now
  10331. 2022-01-18 15:45:43,863:INFO:create_model_container: 26
  10332. 2022-01-18 15:45:43,863:INFO:master_model_container: 26
  10333. 2022-01-18 15:45:43,864:INFO:display_container: 3
  10334. 2022-01-18 15:45:43,864:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10335. criterion='gini', max_depth=None, max_features='auto',
  10336. max_leaf_nodes=None, max_samples=None,
  10337. min_impurity_decrease=0.0, min_impurity_split=None,
  10338. min_samples_leaf=1, min_samples_split=2,
  10339. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10340. oob_score=False, random_state=7473, verbose=0,
  10341. warm_start=False)
  10342. 2022-01-18 15:45:43,864:INFO:create_model() succesfully completed......................................
  10343. 2022-01-18 15:45:43,951:INFO:SubProcess create_model() end ==================================
  10344. 2022-01-18 15:45:43,952:INFO:Creating metrics dataframe
  10345. 2022-01-18 15:45:43,965:INFO:Initializing Light Gradient Boosting Machine
  10346. 2022-01-18 15:45:43,965:INFO:Total runtime is 1.2178025285402934 minutes
  10347. 2022-01-18 15:45:43,970:INFO:SubProcess create_model() called ==================================
  10348. 2022-01-18 15:45:43,971:INFO:Initializing create_model()
  10349. 2022-01-18 15:45:43,971:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10350. 2022-01-18 15:45:43,971:INFO:Checking exceptions
  10351. 2022-01-18 15:45:43,971:INFO:Importing libraries
  10352. 2022-01-18 15:45:43,971:INFO:Copying training dataset
  10353. 2022-01-18 15:45:43,973:INFO:Defining folds
  10354. 2022-01-18 15:45:43,973:INFO:Declaring metric variables
  10355. 2022-01-18 15:45:43,978:INFO:Importing untrained model
  10356. 2022-01-18 15:45:43,983:INFO:Light Gradient Boosting Machine Imported succesfully
  10357. 2022-01-18 15:45:43,993:INFO:Starting cross validation
  10358. 2022-01-18 15:45:43,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10359. 2022-01-18 15:45:47,319:INFO:Calculating mean and std
  10360. 2022-01-18 15:45:47,320:INFO:Creating metrics dataframe
  10361. 2022-01-18 15:45:47,323:INFO:Uploading results into container
  10362. 2022-01-18 15:45:47,323:INFO:Uploading model into container now
  10363. 2022-01-18 15:45:47,323:INFO:create_model_container: 27
  10364. 2022-01-18 15:45:47,323:INFO:master_model_container: 27
  10365. 2022-01-18 15:45:47,324:INFO:display_container: 3
  10366. 2022-01-18 15:45:47,324:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10367. importance_type='split', learning_rate=0.1, max_depth=-1,
  10368. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10369. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10370. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10371. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  10372. 2022-01-18 15:45:47,324:INFO:create_model() succesfully completed......................................
  10373. 2022-01-18 15:45:47,400:INFO:SubProcess create_model() end ==================================
  10374. 2022-01-18 15:45:47,401:INFO:Creating metrics dataframe
  10375. 2022-01-18 15:45:47,414:INFO:Initializing Dummy Classifier
  10376. 2022-01-18 15:45:47,414:INFO:Total runtime is 1.275287119547526 minutes
  10377. 2022-01-18 15:45:47,420:INFO:SubProcess create_model() called ==================================
  10378. 2022-01-18 15:45:47,420:INFO:Initializing create_model()
  10379. 2022-01-18 15:45:47,420:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10380. 2022-01-18 15:45:47,420:INFO:Checking exceptions
  10381. 2022-01-18 15:45:47,421:INFO:Importing libraries
  10382. 2022-01-18 15:45:47,421:INFO:Copying training dataset
  10383. 2022-01-18 15:45:47,422:INFO:Defining folds
  10384. 2022-01-18 15:45:47,422:INFO:Declaring metric variables
  10385. 2022-01-18 15:45:47,427:INFO:Importing untrained model
  10386. 2022-01-18 15:45:47,432:INFO:Dummy Classifier Imported succesfully
  10387. 2022-01-18 15:45:47,442:INFO:Starting cross validation
  10388. 2022-01-18 15:45:47,442:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10389. 2022-01-18 15:45:47,561:INFO:Calculating mean and std
  10390. 2022-01-18 15:45:47,561:INFO:Creating metrics dataframe
  10391. 2022-01-18 15:45:47,564:INFO:Uploading results into container
  10392. 2022-01-18 15:45:47,564:INFO:Uploading model into container now
  10393. 2022-01-18 15:45:47,564:INFO:create_model_container: 28
  10394. 2022-01-18 15:45:47,564:INFO:master_model_container: 28
  10395. 2022-01-18 15:45:47,565:INFO:display_container: 3
  10396. 2022-01-18 15:45:47,565:INFO:DummyClassifier(constant=None, random_state=7473, strategy='prior')
  10397. 2022-01-18 15:45:47,565:INFO:create_model() succesfully completed......................................
  10398. 2022-01-18 15:45:47,649:INFO:SubProcess create_model() end ==================================
  10399. 2022-01-18 15:45:47,649:INFO:Creating metrics dataframe
  10400. 2022-01-18 15:45:47,676:INFO:Initializing create_model()
  10401. 2022-01-18 15:45:47,676:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10402. criterion='gini', max_depth=None, max_features='auto',
  10403. max_leaf_nodes=None, max_samples=None,
  10404. min_impurity_decrease=0.0, min_impurity_split=None,
  10405. min_samples_leaf=1, min_samples_split=2,
  10406. min_weight_fraction_leaf=0.0, n_estimators=100,
  10407. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10408. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10409. 2022-01-18 15:45:47,676:INFO:Checking exceptions
  10410. 2022-01-18 15:45:47,676:INFO:Importing libraries
  10411. 2022-01-18 15:45:47,677:INFO:Copying training dataset
  10412. 2022-01-18 15:45:47,678:INFO:Defining folds
  10413. 2022-01-18 15:45:47,678:INFO:Declaring metric variables
  10414. 2022-01-18 15:45:47,678:INFO:Importing untrained model
  10415. 2022-01-18 15:45:47,678:INFO:Declaring custom model
  10416. 2022-01-18 15:45:47,679:INFO:Random Forest Classifier Imported succesfully
  10417. 2022-01-18 15:45:47,679:INFO:Cross validation set to False
  10418. 2022-01-18 15:45:47,679:INFO:Fitting Model
  10419. 2022-01-18 15:45:48,093:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10420. criterion='gini', max_depth=None, max_features='auto',
  10421. max_leaf_nodes=None, max_samples=None,
  10422. min_impurity_decrease=0.0, min_impurity_split=None,
  10423. min_samples_leaf=1, min_samples_split=2,
  10424. min_weight_fraction_leaf=0.0, n_estimators=100,
  10425. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10426. warm_start=False)
  10427. 2022-01-18 15:45:48,093:INFO:create_models() succesfully completed......................................
  10428. 2022-01-18 15:45:48,180:INFO:Initializing create_model()
  10429. 2022-01-18 15:45:48,180:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10430. criterion='gini', max_depth=None, max_features='auto',
  10431. max_leaf_nodes=None, max_samples=None,
  10432. min_impurity_decrease=0.0, min_impurity_split=None,
  10433. min_samples_leaf=1, min_samples_split=2,
  10434. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10435. oob_score=False, random_state=7473, verbose=0,
  10436. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10437. 2022-01-18 15:45:48,180:INFO:Checking exceptions
  10438. 2022-01-18 15:45:48,181:INFO:Importing libraries
  10439. 2022-01-18 15:45:48,181:INFO:Copying training dataset
  10440. 2022-01-18 15:45:48,182:INFO:Defining folds
  10441. 2022-01-18 15:45:48,182:INFO:Declaring metric variables
  10442. 2022-01-18 15:45:48,182:INFO:Importing untrained model
  10443. 2022-01-18 15:45:48,182:INFO:Declaring custom model
  10444. 2022-01-18 15:45:48,183:INFO:Extra Trees Classifier Imported succesfully
  10445. 2022-01-18 15:45:48,183:INFO:Cross validation set to False
  10446. 2022-01-18 15:45:48,183:INFO:Fitting Model
  10447. 2022-01-18 15:45:48,504:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10448. criterion='gini', max_depth=None, max_features='auto',
  10449. max_leaf_nodes=None, max_samples=None,
  10450. min_impurity_decrease=0.0, min_impurity_split=None,
  10451. min_samples_leaf=1, min_samples_split=2,
  10452. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10453. oob_score=False, random_state=7473, verbose=0,
  10454. warm_start=False)
  10455. 2022-01-18 15:45:48,504:INFO:create_models() succesfully completed......................................
  10456. 2022-01-18 15:45:48,587:INFO:Initializing create_model()
  10457. 2022-01-18 15:45:48,587:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10458. max_depth=None, max_features=None, max_leaf_nodes=None,
  10459. min_impurity_decrease=0.0, min_impurity_split=None,
  10460. min_samples_leaf=1, min_samples_split=2,
  10461. min_weight_fraction_leaf=0.0, presort='deprecated',
  10462. random_state=7473, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10463. 2022-01-18 15:45:48,588:INFO:Checking exceptions
  10464. 2022-01-18 15:45:48,588:INFO:Importing libraries
  10465. 2022-01-18 15:45:48,588:INFO:Copying training dataset
  10466. 2022-01-18 15:45:48,589:INFO:Defining folds
  10467. 2022-01-18 15:45:48,589:INFO:Declaring metric variables
  10468. 2022-01-18 15:45:48,589:INFO:Importing untrained model
  10469. 2022-01-18 15:45:48,589:INFO:Declaring custom model
  10470. 2022-01-18 15:45:48,590:INFO:Decision Tree Classifier Imported succesfully
  10471. 2022-01-18 15:45:48,590:INFO:Cross validation set to False
  10472. 2022-01-18 15:45:48,590:INFO:Fitting Model
  10473. 2022-01-18 15:45:48,676:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10474. max_depth=None, max_features=None, max_leaf_nodes=None,
  10475. min_impurity_decrease=0.0, min_impurity_split=None,
  10476. min_samples_leaf=1, min_samples_split=2,
  10477. min_weight_fraction_leaf=0.0, presort='deprecated',
  10478. random_state=7473, splitter='best')
  10479. 2022-01-18 15:45:48,676:INFO:create_models() succesfully completed......................................
  10480. 2022-01-18 15:45:48,759:INFO:Initializing create_model()
  10481. 2022-01-18 15:45:48,759:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10482. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10483. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10484. 2022-01-18 15:45:48,759:INFO:Checking exceptions
  10485. 2022-01-18 15:45:48,759:INFO:Importing libraries
  10486. 2022-01-18 15:45:48,760:INFO:Copying training dataset
  10487. 2022-01-18 15:45:48,760:INFO:Defining folds
  10488. 2022-01-18 15:45:48,761:INFO:Declaring metric variables
  10489. 2022-01-18 15:45:48,761:INFO:Importing untrained model
  10490. 2022-01-18 15:45:48,761:INFO:Declaring custom model
  10491. 2022-01-18 15:45:48,761:INFO:K Neighbors Classifier Imported succesfully
  10492. 2022-01-18 15:45:48,762:INFO:Cross validation set to False
  10493. 2022-01-18 15:45:48,762:INFO:Fitting Model
  10494. 2022-01-18 15:45:50,213:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10495. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10496. weights='uniform')
  10497. 2022-01-18 15:45:50,213:INFO:create_models() succesfully completed......................................
  10498. 2022-01-18 15:45:50,295:INFO:Initializing create_model()
  10499. 2022-01-18 15:45:50,295:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10500. importance_type='split', learning_rate=0.1, max_depth=-1,
  10501. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10502. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10503. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10504. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10505. 2022-01-18 15:45:50,296:INFO:Checking exceptions
  10506. 2022-01-18 15:45:50,296:INFO:Importing libraries
  10507. 2022-01-18 15:45:50,296:INFO:Copying training dataset
  10508. 2022-01-18 15:45:50,297:INFO:Defining folds
  10509. 2022-01-18 15:45:50,297:INFO:Declaring metric variables
  10510. 2022-01-18 15:45:50,297:INFO:Importing untrained model
  10511. 2022-01-18 15:45:50,297:INFO:Declaring custom model
  10512. 2022-01-18 15:45:50,298:INFO:Light Gradient Boosting Machine Imported succesfully
  10513. 2022-01-18 15:45:50,298:INFO:Cross validation set to False
  10514. 2022-01-18 15:45:50,298:INFO:Fitting Model
  10515. 2022-01-18 15:45:50,656:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10516. importance_type='split', learning_rate=0.1, max_depth=-1,
  10517. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10518. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10519. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10520. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  10521. 2022-01-18 15:45:50,657:INFO:create_models() succesfully completed......................................
  10522. 2022-01-18 15:45:50,739:INFO:Initializing create_model()
  10523. 2022-01-18 15:45:50,740:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10524. learning_rate=0.1, loss='deviance', max_depth=3,
  10525. max_features=None, max_leaf_nodes=None,
  10526. min_impurity_decrease=0.0, min_impurity_split=None,
  10527. min_samples_leaf=1, min_samples_split=2,
  10528. min_weight_fraction_leaf=0.0, n_estimators=100,
  10529. n_iter_no_change=None, presort='deprecated',
  10530. random_state=7473, subsample=1.0, tol=0.0001,
  10531. validation_fraction=0.1, verbose=0,
  10532. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10533. 2022-01-18 15:45:50,740:INFO:Checking exceptions
  10534. 2022-01-18 15:45:50,740:INFO:Importing libraries
  10535. 2022-01-18 15:45:50,740:INFO:Copying training dataset
  10536. 2022-01-18 15:45:50,741:INFO:Defining folds
  10537. 2022-01-18 15:45:50,741:INFO:Declaring metric variables
  10538. 2022-01-18 15:45:50,741:INFO:Importing untrained model
  10539. 2022-01-18 15:45:50,742:INFO:Declaring custom model
  10540. 2022-01-18 15:45:50,742:INFO:Gradient Boosting Classifier Imported succesfully
  10541. 2022-01-18 15:45:50,742:INFO:Cross validation set to False
  10542. 2022-01-18 15:45:50,743:INFO:Fitting Model
  10543. 2022-01-18 15:45:53,222:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10544. learning_rate=0.1, loss='deviance', max_depth=3,
  10545. max_features=None, max_leaf_nodes=None,
  10546. min_impurity_decrease=0.0, min_impurity_split=None,
  10547. min_samples_leaf=1, min_samples_split=2,
  10548. min_weight_fraction_leaf=0.0, n_estimators=100,
  10549. n_iter_no_change=None, presort='deprecated',
  10550. random_state=7473, subsample=1.0, tol=0.0001,
  10551. validation_fraction=0.1, verbose=0,
  10552. warm_start=False)
  10553. 2022-01-18 15:45:53,223:INFO:create_models() succesfully completed......................................
  10554. 2022-01-18 15:45:53,331:INFO:create_model_container: 28
  10555. 2022-01-18 15:45:53,331:INFO:master_model_container: 28
  10556. 2022-01-18 15:45:53,331:INFO:display_container: 3
  10557. 2022-01-18 15:45:53,332:INFO:[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10558. criterion='gini', max_depth=None, max_features='auto',
  10559. max_leaf_nodes=None, max_samples=None,
  10560. min_impurity_decrease=0.0, min_impurity_split=None,
  10561. min_samples_leaf=1, min_samples_split=2,
  10562. min_weight_fraction_leaf=0.0, n_estimators=100,
  10563. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10564. warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10565. criterion='gini', max_depth=None, max_features='auto',
  10566. max_leaf_nodes=None, max_samples=None,
  10567. min_impurity_decrease=0.0, min_impurity_split=None,
  10568. min_samples_leaf=1, min_samples_split=2,
  10569. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10570. oob_score=False, random_state=7473, verbose=0,
  10571. warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10572. max_depth=None, max_features=None, max_leaf_nodes=None,
  10573. min_impurity_decrease=0.0, min_impurity_split=None,
  10574. min_samples_leaf=1, min_samples_split=2,
  10575. min_weight_fraction_leaf=0.0, presort='deprecated',
  10576. random_state=7473, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10577. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10578. weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10579. importance_type='split', learning_rate=0.1, max_depth=-1,
  10580. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10581. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10582. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10583. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10584. learning_rate=0.1, loss='deviance', max_depth=3,
  10585. max_features=None, max_leaf_nodes=None,
  10586. min_impurity_decrease=0.0, min_impurity_split=None,
  10587. min_samples_leaf=1, min_samples_split=2,
  10588. min_weight_fraction_leaf=0.0, n_estimators=100,
  10589. n_iter_no_change=None, presort='deprecated',
  10590. random_state=7473, subsample=1.0, tol=0.0001,
  10591. validation_fraction=0.1, verbose=0,
  10592. warm_start=False)]
  10593. 2022-01-18 15:45:53,332:INFO:compare_models() succesfully completed......................................
  10594. 2022-01-18 15:47:39,933:INFO:Initializing tune_model()
  10595. 2022-01-18 15:47:39,933:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10596. criterion='gini', max_depth=None, max_features='auto',
  10597. max_leaf_nodes=None, max_samples=None,
  10598. min_impurity_decrease=0.0, min_impurity_split=None,
  10599. min_samples_leaf=1, min_samples_split=2,
  10600. min_weight_fraction_leaf=0.0, n_estimators=100,
  10601. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10602. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10603. 2022-01-18 15:47:39,933:INFO:Checking exceptions
  10604. 2022-01-18 15:47:39,934:INFO:Preparing display monitor
  10605. 2022-01-18 15:47:39,945:INFO:Copying training dataset
  10606. 2022-01-18 15:47:39,946:INFO:Checking base model
  10607. 2022-01-18 15:47:39,947:INFO:Base model : Random Forest Classifier
  10608. 2022-01-18 15:47:39,952:INFO:Declaring metric variables
  10609. 2022-01-18 15:47:39,956:INFO:Defining Hyperparameters
  10610. 2022-01-18 15:47:40,044:INFO:Tuning with n_jobs=-1
  10611. 2022-01-18 15:47:40,044:INFO:Initializing RandomizedSearchCV
  10612. 2022-01-18 15:48:00,237:INFO:best_params: {'actual_estimator__n_estimators': 30, 'actual_estimator__min_samples_split': 9, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.002, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 11, 'actual_estimator__criterion': 'entropy', 'actual_estimator__class_weight': {}, 'actual_estimator__bootstrap': True}
  10613. 2022-01-18 15:48:00,237:INFO:Hyperparameter search completed
  10614. 2022-01-18 15:48:00,237:INFO:SubProcess create_model() called ==================================
  10615. 2022-01-18 15:48:00,238:INFO:Initializing create_model()
  10616. 2022-01-18 15:48:00,238:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10617. criterion='gini', max_depth=None, max_features='auto',
  10618. max_leaf_nodes=None, max_samples=None,
  10619. min_impurity_decrease=0.0, min_impurity_split=None,
  10620. min_samples_leaf=1, min_samples_split=2,
  10621. min_weight_fraction_leaf=0.0, n_estimators=100,
  10622. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10623. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8583cd4ca0>, kwargs={'n_estimators': 30, 'min_samples_split': 9, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.002, 'max_features': 'sqrt', 'max_depth': 11, 'criterion': 'entropy', 'class_weight': {}, 'bootstrap': True})
  10624. 2022-01-18 15:48:00,238:INFO:Checking exceptions
  10625. 2022-01-18 15:48:00,238:INFO:Importing libraries
  10626. 2022-01-18 15:48:00,239:INFO:Copying training dataset
  10627. 2022-01-18 15:48:00,240:INFO:Defining folds
  10628. 2022-01-18 15:48:00,240:INFO:Declaring metric variables
  10629. 2022-01-18 15:48:00,245:INFO:Importing untrained model
  10630. 2022-01-18 15:48:00,245:INFO:Declaring custom model
  10631. 2022-01-18 15:48:00,251:INFO:Random Forest Classifier Imported succesfully
  10632. 2022-01-18 15:48:00,264:INFO:Starting cross validation
  10633. 2022-01-18 15:48:00,265:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10634. 2022-01-18 15:48:03,098:INFO:Calculating mean and std
  10635. 2022-01-18 15:48:03,099:INFO:Creating metrics dataframe
  10636. 2022-01-18 15:48:03,106:INFO:Finalizing model
  10637. 2022-01-18 15:48:03,220:INFO:Uploading results into container
  10638. 2022-01-18 15:48:03,220:INFO:Uploading model into container now
  10639. 2022-01-18 15:48:03,220:INFO:create_model_container: 29
  10640. 2022-01-18 15:48:03,221:INFO:master_model_container: 29
  10641. 2022-01-18 15:48:03,221:INFO:display_container: 4
  10642. 2022-01-18 15:48:03,221:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10643. criterion='entropy', max_depth=11, max_features='sqrt',
  10644. max_leaf_nodes=None, max_samples=None,
  10645. min_impurity_decrease=0.002, min_impurity_split=None,
  10646. min_samples_leaf=5, min_samples_split=9,
  10647. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10648. oob_score=False, random_state=7473, verbose=0,
  10649. warm_start=False)
  10650. 2022-01-18 15:48:03,222:INFO:create_model() succesfully completed......................................
  10651. 2022-01-18 15:48:03,302:INFO:SubProcess create_model() end ==================================
  10652. 2022-01-18 15:48:03,312:INFO:create_model_container: 29
  10653. 2022-01-18 15:48:03,312:INFO:master_model_container: 29
  10654. 2022-01-18 15:48:03,312:INFO:display_container: 4
  10655. 2022-01-18 15:48:03,312:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10656. criterion='entropy', max_depth=11, max_features='sqrt',
  10657. max_leaf_nodes=None, max_samples=None,
  10658. min_impurity_decrease=0.002, min_impurity_split=None,
  10659. min_samples_leaf=5, min_samples_split=9,
  10660. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10661. oob_score=False, random_state=7473, verbose=0,
  10662. warm_start=False)
  10663. 2022-01-18 15:48:03,313:INFO:tune_model() succesfully completed......................................
  10664. 2022-01-18 15:48:03,398:INFO:Initializing tune_model()
  10665. 2022-01-18 15:48:03,398:INFO:tune_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10666. criterion='gini', max_depth=None, max_features='auto',
  10667. max_leaf_nodes=None, max_samples=None,
  10668. min_impurity_decrease=0.0, min_impurity_split=None,
  10669. min_samples_leaf=1, min_samples_split=2,
  10670. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10671. oob_score=False, random_state=7473, verbose=0,
  10672. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10673. 2022-01-18 15:48:03,398:INFO:Checking exceptions
  10674. 2022-01-18 15:48:03,399:INFO:Preparing display monitor
  10675. 2022-01-18 15:48:03,410:INFO:Copying training dataset
  10676. 2022-01-18 15:48:03,411:INFO:Checking base model
  10677. 2022-01-18 15:48:03,411:INFO:Base model : Extra Trees Classifier
  10678. 2022-01-18 15:48:03,416:INFO:Declaring metric variables
  10679. 2022-01-18 15:48:03,421:INFO:Defining Hyperparameters
  10680. 2022-01-18 15:48:03,510:INFO:Tuning with n_jobs=-1
  10681. 2022-01-18 15:48:03,510:INFO:Initializing RandomizedSearchCV
  10682. 2022-01-18 15:48:21,992:INFO:best_params: {'actual_estimator__n_estimators': 30, 'actual_estimator__min_samples_split': 9, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.002, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 11, 'actual_estimator__criterion': 'entropy', 'actual_estimator__class_weight': {}, 'actual_estimator__bootstrap': True}
  10683. 2022-01-18 15:48:21,992:INFO:Hyperparameter search completed
  10684. 2022-01-18 15:48:21,992:INFO:SubProcess create_model() called ==================================
  10685. 2022-01-18 15:48:21,993:INFO:Initializing create_model()
  10686. 2022-01-18 15:48:21,993:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10687. criterion='gini', max_depth=None, max_features='auto',
  10688. max_leaf_nodes=None, max_samples=None,
  10689. min_impurity_decrease=0.0, min_impurity_split=None,
  10690. min_samples_leaf=1, min_samples_split=2,
  10691. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10692. oob_score=False, random_state=7473, verbose=0,
  10693. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582b745e0>, kwargs={'n_estimators': 30, 'min_samples_split': 9, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.002, 'max_features': 'sqrt', 'max_depth': 11, 'criterion': 'entropy', 'class_weight': {}, 'bootstrap': True})
  10694. 2022-01-18 15:48:21,993:INFO:Checking exceptions
  10695. 2022-01-18 15:48:21,993:INFO:Importing libraries
  10696. 2022-01-18 15:48:21,993:INFO:Copying training dataset
  10697. 2022-01-18 15:48:21,995:INFO:Defining folds
  10698. 2022-01-18 15:48:21,995:INFO:Declaring metric variables
  10699. 2022-01-18 15:48:22,000:INFO:Importing untrained model
  10700. 2022-01-18 15:48:22,000:INFO:Declaring custom model
  10701. 2022-01-18 15:48:22,005:INFO:Extra Trees Classifier Imported succesfully
  10702. 2022-01-18 15:48:22,015:INFO:Starting cross validation
  10703. 2022-01-18 15:48:22,016:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10704. 2022-01-18 15:48:24,852:INFO:Calculating mean and std
  10705. 2022-01-18 15:48:24,853:INFO:Creating metrics dataframe
  10706. 2022-01-18 15:48:24,861:INFO:Finalizing model
  10707. 2022-01-18 15:48:24,977:INFO:Uploading results into container
  10708. 2022-01-18 15:48:24,978:INFO:Uploading model into container now
  10709. 2022-01-18 15:48:24,978:INFO:create_model_container: 30
  10710. 2022-01-18 15:48:24,978:INFO:master_model_container: 30
  10711. 2022-01-18 15:48:24,978:INFO:display_container: 5
  10712. 2022-01-18 15:48:24,979:INFO:ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10713. criterion='entropy', max_depth=11, max_features='sqrt',
  10714. max_leaf_nodes=None, max_samples=None,
  10715. min_impurity_decrease=0.002, min_impurity_split=None,
  10716. min_samples_leaf=5, min_samples_split=9,
  10717. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10718. oob_score=False, random_state=7473, verbose=0,
  10719. warm_start=False)
  10720. 2022-01-18 15:48:24,979:INFO:create_model() succesfully completed......................................
  10721. 2022-01-18 15:48:25,057:INFO:SubProcess create_model() end ==================================
  10722. 2022-01-18 15:48:25,067:INFO:create_model_container: 30
  10723. 2022-01-18 15:48:25,067:INFO:master_model_container: 30
  10724. 2022-01-18 15:48:25,067:INFO:display_container: 5
  10725. 2022-01-18 15:48:25,068:INFO:ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10726. criterion='entropy', max_depth=11, max_features='sqrt',
  10727. max_leaf_nodes=None, max_samples=None,
  10728. min_impurity_decrease=0.002, min_impurity_split=None,
  10729. min_samples_leaf=5, min_samples_split=9,
  10730. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10731. oob_score=False, random_state=7473, verbose=0,
  10732. warm_start=False)
  10733. 2022-01-18 15:48:25,068:INFO:tune_model() succesfully completed......................................
  10734. 2022-01-18 15:48:25,150:INFO:Initializing tune_model()
  10735. 2022-01-18 15:48:25,150:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10736. max_depth=None, max_features=None, max_leaf_nodes=None,
  10737. min_impurity_decrease=0.0, min_impurity_split=None,
  10738. min_samples_leaf=1, min_samples_split=2,
  10739. min_weight_fraction_leaf=0.0, presort='deprecated',
  10740. random_state=7473, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10741. 2022-01-18 15:48:25,151:INFO:Checking exceptions
  10742. 2022-01-18 15:48:25,152:INFO:Preparing display monitor
  10743. 2022-01-18 15:48:25,163:INFO:Copying training dataset
  10744. 2022-01-18 15:48:25,164:INFO:Checking base model
  10745. 2022-01-18 15:48:25,164:INFO:Base model : Decision Tree Classifier
  10746. 2022-01-18 15:48:25,169:INFO:Declaring metric variables
  10747. 2022-01-18 15:48:25,173:INFO:Defining Hyperparameters
  10748. 2022-01-18 15:48:25,273:INFO:Tuning with n_jobs=-1
  10749. 2022-01-18 15:48:25,274:INFO:Initializing RandomizedSearchCV
  10750. 2022-01-18 15:48:25,733:INFO:best_params: {'actual_estimator__min_samples_split': 2, 'actual_estimator__min_samples_leaf': 6, 'actual_estimator__min_impurity_decrease': 0.0005, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 11, 'actual_estimator__criterion': 'gini'}
  10751. 2022-01-18 15:48:25,733:INFO:Hyperparameter search completed
  10752. 2022-01-18 15:48:25,734:INFO:SubProcess create_model() called ==================================
  10753. 2022-01-18 15:48:25,734:INFO:Initializing create_model()
  10754. 2022-01-18 15:48:25,734:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10755. max_depth=None, max_features=None, max_leaf_nodes=None,
  10756. min_impurity_decrease=0.0, min_impurity_split=None,
  10757. min_samples_leaf=1, min_samples_split=2,
  10758. min_weight_fraction_leaf=0.0, presort='deprecated',
  10759. random_state=7473, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582d125b0>, kwargs={'min_samples_split': 2, 'min_samples_leaf': 6, 'min_impurity_decrease': 0.0005, 'max_features': 1.0, 'max_depth': 11, 'criterion': 'gini'})
  10760. 2022-01-18 15:48:25,734:INFO:Checking exceptions
  10761. 2022-01-18 15:48:25,735:INFO:Importing libraries
  10762. 2022-01-18 15:48:25,735:INFO:Copying training dataset
  10763. 2022-01-18 15:48:25,736:INFO:Defining folds
  10764. 2022-01-18 15:48:25,736:INFO:Declaring metric variables
  10765. 2022-01-18 15:48:25,741:INFO:Importing untrained model
  10766. 2022-01-18 15:48:25,741:INFO:Declaring custom model
  10767. 2022-01-18 15:48:25,746:INFO:Decision Tree Classifier Imported succesfully
  10768. 2022-01-18 15:48:25,756:INFO:Starting cross validation
  10769. 2022-01-18 15:48:25,757:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10770. 2022-01-18 15:48:26,246:INFO:Calculating mean and std
  10771. 2022-01-18 15:48:26,246:INFO:Creating metrics dataframe
  10772. 2022-01-18 15:48:26,253:INFO:Finalizing model
  10773. 2022-01-18 15:48:26,298:INFO:Uploading results into container
  10774. 2022-01-18 15:48:26,298:INFO:Uploading model into container now
  10775. 2022-01-18 15:48:26,299:INFO:create_model_container: 31
  10776. 2022-01-18 15:48:26,299:INFO:master_model_container: 31
  10777. 2022-01-18 15:48:26,299:INFO:display_container: 6
  10778. 2022-01-18 15:48:26,299:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10779. max_depth=11, max_features=1.0, max_leaf_nodes=None,
  10780. min_impurity_decrease=0.0005, min_impurity_split=None,
  10781. min_samples_leaf=6, min_samples_split=2,
  10782. min_weight_fraction_leaf=0.0, presort='deprecated',
  10783. random_state=7473, splitter='best')
  10784. 2022-01-18 15:48:26,299:INFO:create_model() succesfully completed......................................
  10785. 2022-01-18 15:48:26,385:INFO:SubProcess create_model() end ==================================
  10786. 2022-01-18 15:48:26,395:INFO:create_model_container: 31
  10787. 2022-01-18 15:48:26,396:INFO:master_model_container: 31
  10788. 2022-01-18 15:48:26,396:INFO:display_container: 6
  10789. 2022-01-18 15:48:26,396:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10790. max_depth=11, max_features=1.0, max_leaf_nodes=None,
  10791. min_impurity_decrease=0.0005, min_impurity_split=None,
  10792. min_samples_leaf=6, min_samples_split=2,
  10793. min_weight_fraction_leaf=0.0, presort='deprecated',
  10794. random_state=7473, splitter='best')
  10795. 2022-01-18 15:48:26,396:INFO:tune_model() succesfully completed......................................
  10796. 2022-01-18 15:48:26,481:INFO:Initializing tune_model()
  10797. 2022-01-18 15:48:26,482:INFO:tune_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10798. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10799. weights='uniform'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10800. 2022-01-18 15:48:26,482:INFO:Checking exceptions
  10801. 2022-01-18 15:48:26,483:INFO:Preparing display monitor
  10802. 2022-01-18 15:48:26,494:INFO:Copying training dataset
  10803. 2022-01-18 15:48:26,495:INFO:Checking base model
  10804. 2022-01-18 15:48:26,495:INFO:Base model : K Neighbors Classifier
  10805. 2022-01-18 15:48:26,500:INFO:Declaring metric variables
  10806. 2022-01-18 15:48:26,505:INFO:Defining Hyperparameters
  10807. 2022-01-18 15:48:26,594:INFO:Tuning with n_jobs=-1
  10808. 2022-01-18 15:48:26,595:INFO:Initializing RandomizedSearchCV
  10809. 2022-01-18 15:49:12,011:INFO:best_params: {'actual_estimator__weights': 'distance', 'actual_estimator__n_neighbors': 32, 'actual_estimator__metric': 'manhattan'}
  10810. 2022-01-18 15:49:12,012:INFO:Hyperparameter search completed
  10811. 2022-01-18 15:49:12,012:INFO:SubProcess create_model() called ==================================
  10812. 2022-01-18 15:49:12,013:INFO:Initializing create_model()
  10813. 2022-01-18 15:49:12,013:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10814. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10815. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385a8b0>, kwargs={'weights': 'distance', 'n_neighbors': 32, 'metric': 'manhattan'})
  10816. 2022-01-18 15:49:12,013:INFO:Checking exceptions
  10817. 2022-01-18 15:49:12,014:INFO:Importing libraries
  10818. 2022-01-18 15:49:12,014:INFO:Copying training dataset
  10819. 2022-01-18 15:49:12,016:INFO:Defining folds
  10820. 2022-01-18 15:49:12,016:INFO:Declaring metric variables
  10821. 2022-01-18 15:49:12,024:INFO:Importing untrained model
  10822. 2022-01-18 15:49:12,024:INFO:Declaring custom model
  10823. 2022-01-18 15:49:12,030:INFO:K Neighbors Classifier Imported succesfully
  10824. 2022-01-18 15:49:12,043:INFO:Starting cross validation
  10825. 2022-01-18 15:49:12,044:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10826. 2022-01-18 15:49:31,378:INFO:Calculating mean and std
  10827. 2022-01-18 15:49:31,379:INFO:Creating metrics dataframe
  10828. 2022-01-18 15:49:31,386:INFO:Finalizing model
  10829. 2022-01-18 15:49:32,865:INFO:Uploading results into container
  10830. 2022-01-18 15:49:32,866:INFO:Uploading model into container now
  10831. 2022-01-18 15:49:32,866:INFO:create_model_container: 32
  10832. 2022-01-18 15:49:32,866:INFO:master_model_container: 32
  10833. 2022-01-18 15:49:32,866:INFO:display_container: 7
  10834. 2022-01-18 15:49:32,867:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
  10835. metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
  10836. weights='distance')
  10837. 2022-01-18 15:49:32,867:INFO:create_model() succesfully completed......................................
  10838. 2022-01-18 15:49:32,961:INFO:SubProcess create_model() end ==================================
  10839. 2022-01-18 15:49:32,971:INFO:create_model_container: 32
  10840. 2022-01-18 15:49:32,971:INFO:master_model_container: 32
  10841. 2022-01-18 15:49:32,971:INFO:display_container: 7
  10842. 2022-01-18 15:49:32,972:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
  10843. metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
  10844. weights='distance')
  10845. 2022-01-18 15:49:32,972:INFO:tune_model() succesfully completed......................................
  10846. 2022-01-18 15:49:33,065:INFO:Initializing tune_model()
  10847. 2022-01-18 15:49:33,065:INFO:tune_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10848. importance_type='split', learning_rate=0.1, max_depth=-1,
  10849. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10850. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10851. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10852. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10853. 2022-01-18 15:49:33,065:INFO:Checking exceptions
  10854. 2022-01-18 15:49:33,066:INFO:Preparing display monitor
  10855. 2022-01-18 15:49:33,077:INFO:Copying training dataset
  10856. 2022-01-18 15:49:33,079:INFO:Checking base model
  10857. 2022-01-18 15:49:33,079:INFO:Base model : Light Gradient Boosting Machine
  10858. 2022-01-18 15:49:33,084:INFO:Declaring metric variables
  10859. 2022-01-18 15:49:33,089:INFO:Defining Hyperparameters
  10860. 2022-01-18 15:49:33,178:INFO:Tuning with n_jobs=-1
  10861. 2022-01-18 15:49:33,178:INFO:Initializing RandomizedSearchCV
  10862. 2022-01-18 15:49:38,670:INFO:best_params: {'actual_estimator__reg_lambda': 0.0005, 'actual_estimator__reg_alpha': 0.4, 'actual_estimator__num_leaves': 90, 'actual_estimator__n_estimators': 120, 'actual_estimator__min_split_gain': 0.5, 'actual_estimator__min_child_samples': 61, 'actual_estimator__learning_rate': 0.15, 'actual_estimator__feature_fraction': 0.9, 'actual_estimator__bagging_freq': 3, 'actual_estimator__bagging_fraction': 0.5}
  10863. 2022-01-18 15:49:38,670:INFO:Hyperparameter search completed
  10864. 2022-01-18 15:49:38,671:INFO:SubProcess create_model() called ==================================
  10865. 2022-01-18 15:49:38,671:INFO:Initializing create_model()
  10866. 2022-01-18 15:49:38,671:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10867. importance_type='split', learning_rate=0.1, max_depth=-1,
  10868. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10869. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10870. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10871. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8584430fd0>, kwargs={'reg_lambda': 0.0005, 'reg_alpha': 0.4, 'num_leaves': 90, 'n_estimators': 120, 'min_split_gain': 0.5, 'min_child_samples': 61, 'learning_rate': 0.15, 'feature_fraction': 0.9, 'bagging_freq': 3, 'bagging_fraction': 0.5})
  10872. 2022-01-18 15:49:38,672:INFO:Checking exceptions
  10873. 2022-01-18 15:49:38,672:INFO:Importing libraries
  10874. 2022-01-18 15:49:38,672:INFO:Copying training dataset
  10875. 2022-01-18 15:49:38,674:INFO:Defining folds
  10876. 2022-01-18 15:49:38,674:INFO:Declaring metric variables
  10877. 2022-01-18 15:49:38,680:INFO:Importing untrained model
  10878. 2022-01-18 15:49:38,680:INFO:Declaring custom model
  10879. 2022-01-18 15:49:38,685:INFO:Light Gradient Boosting Machine Imported succesfully
  10880. 2022-01-18 15:49:38,695:INFO:Starting cross validation
  10881. 2022-01-18 15:49:38,696:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10882. 2022-01-18 15:49:45,456:INFO:Calculating mean and std
  10883. 2022-01-18 15:49:45,457:INFO:Creating metrics dataframe
  10884. 2022-01-18 15:49:45,465:INFO:Finalizing model
  10885. 2022-01-18 15:49:46,425:INFO:Uploading results into container
  10886. 2022-01-18 15:49:46,426:INFO:Uploading model into container now
  10887. 2022-01-18 15:49:46,426:INFO:create_model_container: 33
  10888. 2022-01-18 15:49:46,426:INFO:master_model_container: 33
  10889. 2022-01-18 15:49:46,427:INFO:display_container: 8
  10890. 2022-01-18 15:49:46,428:INFO:LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
  10891. class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
  10892. importance_type='split', learning_rate=0.15, max_depth=-1,
  10893. min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
  10894. n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
  10895. random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
  10896. silent='warn', subsample=1.0, subsample_for_bin=200000,
  10897. subsample_freq=0)
  10898. 2022-01-18 15:49:46,428:INFO:create_model() succesfully completed......................................
  10899. 2022-01-18 15:49:46,515:INFO:SubProcess create_model() end ==================================
  10900. 2022-01-18 15:49:46,525:INFO:create_model_container: 33
  10901. 2022-01-18 15:49:46,526:INFO:master_model_container: 33
  10902. 2022-01-18 15:49:46,526:INFO:display_container: 8
  10903. 2022-01-18 15:49:46,527:INFO:LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
  10904. class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
  10905. importance_type='split', learning_rate=0.15, max_depth=-1,
  10906. min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
  10907. n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
  10908. random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
  10909. silent='warn', subsample=1.0, subsample_for_bin=200000,
  10910. subsample_freq=0)
  10911. 2022-01-18 15:49:46,527:INFO:tune_model() succesfully completed......................................
  10912. 2022-01-18 15:49:46,612:INFO:Initializing tune_model()
  10913. 2022-01-18 15:49:46,612:INFO:tune_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10914. learning_rate=0.1, loss='deviance', max_depth=3,
  10915. max_features=None, max_leaf_nodes=None,
  10916. min_impurity_decrease=0.0, min_impurity_split=None,
  10917. min_samples_leaf=1, min_samples_split=2,
  10918. min_weight_fraction_leaf=0.0, n_estimators=100,
  10919. n_iter_no_change=None, presort='deprecated',
  10920. random_state=7473, subsample=1.0, tol=0.0001,
  10921. validation_fraction=0.1, verbose=0,
  10922. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10923. 2022-01-18 15:49:46,612:INFO:Checking exceptions
  10924. 2022-01-18 15:49:46,613:INFO:Preparing display monitor
  10925. 2022-01-18 15:49:46,624:INFO:Copying training dataset
  10926. 2022-01-18 15:49:46,625:INFO:Checking base model
  10927. 2022-01-18 15:49:46,625:INFO:Base model : Gradient Boosting Classifier
  10928. 2022-01-18 15:49:46,631:INFO:Declaring metric variables
  10929. 2022-01-18 15:49:46,636:INFO:Defining Hyperparameters
  10930. 2022-01-18 15:49:46,726:INFO:Tuning with n_jobs=-1
  10931. 2022-01-18 15:49:46,726:INFO:Initializing RandomizedSearchCV
  10932. 2022-01-18 15:50:10,793:INFO:best_params: {'actual_estimator__subsample': 0.75, 'actual_estimator__n_estimators': 60, 'actual_estimator__min_samples_split': 2, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.1, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 11, 'actual_estimator__learning_rate': 0.2}
  10933. 2022-01-18 15:50:10,794:INFO:Hyperparameter search completed
  10934. 2022-01-18 15:50:10,794:INFO:SubProcess create_model() called ==================================
  10935. 2022-01-18 15:50:10,795:INFO:Initializing create_model()
  10936. 2022-01-18 15:50:10,795:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10937. learning_rate=0.1, loss='deviance', max_depth=3,
  10938. max_features=None, max_leaf_nodes=None,
  10939. min_impurity_decrease=0.0, min_impurity_split=None,
  10940. min_samples_leaf=1, min_samples_split=2,
  10941. min_weight_fraction_leaf=0.0, n_estimators=100,
  10942. n_iter_no_change=None, presort='deprecated',
  10943. random_state=7473, subsample=1.0, tol=0.0001,
  10944. validation_fraction=0.1, verbose=0,
  10945. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385a220>, kwargs={'subsample': 0.75, 'n_estimators': 60, 'min_samples_split': 2, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.1, 'max_features': 1.0, 'max_depth': 11, 'learning_rate': 0.2})
  10946. 2022-01-18 15:50:10,795:INFO:Checking exceptions
  10947. 2022-01-18 15:50:10,796:INFO:Importing libraries
  10948. 2022-01-18 15:50:10,796:INFO:Copying training dataset
  10949. 2022-01-18 15:50:10,798:INFO:Defining folds
  10950. 2022-01-18 15:50:10,798:INFO:Declaring metric variables
  10951. 2022-01-18 15:50:10,804:INFO:Importing untrained model
  10952. 2022-01-18 15:50:10,804:INFO:Declaring custom model
  10953. 2022-01-18 15:50:10,810:INFO:Gradient Boosting Classifier Imported succesfully
  10954. 2022-01-18 15:50:10,821:INFO:Starting cross validation
  10955. 2022-01-18 15:50:10,821:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10956. 2022-01-18 15:50:28,561:INFO:Calculating mean and std
  10957. 2022-01-18 15:50:28,562:INFO:Creating metrics dataframe
  10958. 2022-01-18 15:50:28,569:INFO:Finalizing model
  10959. 2022-01-18 15:50:30,563:INFO:Uploading results into container
  10960. 2022-01-18 15:50:30,563:INFO:Uploading model into container now
  10961. 2022-01-18 15:50:30,563:INFO:create_model_container: 34
  10962. 2022-01-18 15:50:30,564:INFO:master_model_container: 34
  10963. 2022-01-18 15:50:30,564:INFO:display_container: 9
  10964. 2022-01-18 15:50:30,564:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10965. learning_rate=0.2, loss='deviance', max_depth=11,
  10966. max_features=1.0, max_leaf_nodes=None,
  10967. min_impurity_decrease=0.1, min_impurity_split=None,
  10968. min_samples_leaf=5, min_samples_split=2,
  10969. min_weight_fraction_leaf=0.0, n_estimators=60,
  10970. n_iter_no_change=None, presort='deprecated',
  10971. random_state=7473, subsample=0.75, tol=0.0001,
  10972. validation_fraction=0.1, verbose=0,
  10973. warm_start=False)
  10974. 2022-01-18 15:50:30,564:INFO:create_model() succesfully completed......................................
  10975. 2022-01-18 15:50:30,648:INFO:SubProcess create_model() end ==================================
  10976. 2022-01-18 15:50:30,658:INFO:create_model_container: 34
  10977. 2022-01-18 15:50:30,658:INFO:master_model_container: 34
  10978. 2022-01-18 15:50:30,659:INFO:display_container: 9
  10979. 2022-01-18 15:50:30,659:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10980. learning_rate=0.2, loss='deviance', max_depth=11,
  10981. max_features=1.0, max_leaf_nodes=None,
  10982. min_impurity_decrease=0.1, min_impurity_split=None,
  10983. min_samples_leaf=5, min_samples_split=2,
  10984. min_weight_fraction_leaf=0.0, n_estimators=60,
  10985. n_iter_no_change=None, presort='deprecated',
  10986. random_state=7473, subsample=0.75, tol=0.0001,
  10987. validation_fraction=0.1, verbose=0,
  10988. warm_start=False)
  10989. 2022-01-18 15:50:30,659:INFO:tune_model() succesfully completed......................................
  10990. 2022-01-18 15:51:00,750:INFO:Initializing ensemble_model()
  10991. 2022-01-18 15:51:00,751:INFO:ensemble_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10992. criterion='entropy', max_depth=11, max_features='sqrt',
  10993. max_leaf_nodes=None, max_samples=None,
  10994. min_impurity_decrease=0.002, min_impurity_split=None,
  10995. min_samples_leaf=5, min_samples_split=9,
  10996. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10997. oob_score=False, random_state=7473, verbose=0,
  10998. warm_start=False), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  10999. 2022-01-18 15:51:00,751:INFO:Checking exceptions
  11000. 2022-01-18 15:51:00,752:INFO:Preparing display monitor
  11001. 2022-01-18 15:51:00,764:INFO:Importing libraries
  11002. 2022-01-18 15:51:00,764:INFO:Copying training dataset
  11003. 2022-01-18 15:51:00,766:INFO:Checking base model
  11004. 2022-01-18 15:51:00,766:INFO:Base model : Random Forest Classifier
  11005. 2022-01-18 15:51:00,776:INFO:Importing untrained ensembler
  11006. 2022-01-18 15:51:00,777:INFO:Ensemble method set to Bagging
  11007. 2022-01-18 15:51:00,777:INFO:SubProcess create_model() called ==================================
  11008. 2022-01-18 15:51:00,778:INFO:Initializing create_model()
  11009. 2022-01-18 15:51:00,778:INFO:create_model(estimator=BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
  11010. ccp_alpha=0.0,
  11011. class_weight={},
  11012. criterion='entropy',
  11013. max_depth=11,
  11014. max_features='sqrt',
  11015. max_leaf_nodes=None,
  11016. max_samples=None,
  11017. min_impurity_decrease=0.002,
  11018. min_impurity_split=None,
  11019. min_samples_leaf=5,
  11020. min_samples_split=9,
  11021. min_weight_fraction_leaf=0.0,
  11022. n_estimators=30,
  11023. n_jobs=-1,
  11024. oob_score=False,
  11025. random_state=7473,
  11026. verbose=0,
  11027. warm_start=False),
  11028. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11029. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11030. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582a375e0>, kwargs={})
  11031. 2022-01-18 15:51:00,778:INFO:Checking exceptions
  11032. 2022-01-18 15:51:00,779:INFO:Importing libraries
  11033. 2022-01-18 15:51:00,779:INFO:Copying training dataset
  11034. 2022-01-18 15:51:00,780:INFO:Defining folds
  11035. 2022-01-18 15:51:00,780:INFO:Declaring metric variables
  11036. 2022-01-18 15:51:00,785:INFO:Importing untrained model
  11037. 2022-01-18 15:51:00,786:INFO:Declaring custom model
  11038. 2022-01-18 15:51:00,791:INFO:Random Forest Classifier Imported succesfully
  11039. 2022-01-18 15:51:00,804:INFO:Starting cross validation
  11040. 2022-01-18 15:51:00,805:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11041. 2022-01-18 15:51:19,688:INFO:Calculating mean and std
  11042. 2022-01-18 15:51:19,689:INFO:Creating metrics dataframe
  11043. 2022-01-18 15:51:19,696:INFO:Finalizing model
  11044. 2022-01-18 15:51:21,400:INFO:Uploading results into container
  11045. 2022-01-18 15:51:21,400:INFO:Uploading model into container now
  11046. 2022-01-18 15:51:21,400:INFO:create_model_container: 35
  11047. 2022-01-18 15:51:21,400:INFO:master_model_container: 35
  11048. 2022-01-18 15:51:21,401:INFO:display_container: 10
  11049. 2022-01-18 15:51:21,401:INFO:BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
  11050. ccp_alpha=0.0,
  11051. class_weight={},
  11052. criterion='entropy',
  11053. max_depth=11,
  11054. max_features='sqrt',
  11055. max_leaf_nodes=None,
  11056. max_samples=None,
  11057. min_impurity_decrease=0.002,
  11058. min_impurity_split=None,
  11059. min_samples_leaf=5,
  11060. min_samples_split=9,
  11061. min_weight_fraction_leaf=0.0,
  11062. n_estimators=30,
  11063. n_jobs=-1,
  11064. oob_score=False,
  11065. random_state=7473,
  11066. verbose=0,
  11067. warm_start=False),
  11068. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11069. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11070. random_state=7473, verbose=0, warm_start=False)
  11071. 2022-01-18 15:51:21,402:INFO:create_model() succesfully completed......................................
  11072. 2022-01-18 15:51:21,487:INFO:SubProcess create_model() end ==================================
  11073. 2022-01-18 15:51:21,497:INFO:create_model_container: 35
  11074. 2022-01-18 15:51:21,497:INFO:master_model_container: 35
  11075. 2022-01-18 15:51:21,497:INFO:display_container: 10
  11076. 2022-01-18 15:51:21,498:INFO:BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
  11077. ccp_alpha=0.0,
  11078. class_weight={},
  11079. criterion='entropy',
  11080. max_depth=11,
  11081. max_features='sqrt',
  11082. max_leaf_nodes=None,
  11083. max_samples=None,
  11084. min_impurity_decrease=0.002,
  11085. min_impurity_split=None,
  11086. min_samples_leaf=5,
  11087. min_samples_split=9,
  11088. min_weight_fraction_leaf=0.0,
  11089. n_estimators=30,
  11090. n_jobs=-1,
  11091. oob_score=False,
  11092. random_state=7473,
  11093. verbose=0,
  11094. warm_start=False),
  11095. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11096. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11097. random_state=7473, verbose=0, warm_start=False)
  11098. 2022-01-18 15:51:21,498:INFO:ensemble_model() succesfully completed......................................
  11099. 2022-01-18 15:51:21,585:INFO:Initializing ensemble_model()
  11100. 2022-01-18 15:51:21,585:INFO:ensemble_model(estimator=ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  11101. criterion='entropy', max_depth=11, max_features='sqrt',
  11102. max_leaf_nodes=None, max_samples=None,
  11103. min_impurity_decrease=0.002, min_impurity_split=None,
  11104. min_samples_leaf=5, min_samples_split=9,
  11105. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  11106. oob_score=False, random_state=7473, verbose=0,
  11107. warm_start=False), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11108. 2022-01-18 15:51:21,585:INFO:Checking exceptions
  11109. 2022-01-18 15:51:21,586:INFO:Preparing display monitor
  11110. 2022-01-18 15:51:21,597:INFO:Importing libraries
  11111. 2022-01-18 15:51:21,597:INFO:Copying training dataset
  11112. 2022-01-18 15:51:21,598:INFO:Checking base model
  11113. 2022-01-18 15:51:21,598:INFO:Base model : Extra Trees Classifier
  11114. 2022-01-18 15:51:21,608:INFO:Importing untrained ensembler
  11115. 2022-01-18 15:51:21,608:INFO:Ensemble method set to Bagging
  11116. 2022-01-18 15:51:21,609:INFO:SubProcess create_model() called ==================================
  11117. 2022-01-18 15:51:21,610:INFO:Initializing create_model()
  11118. 2022-01-18 15:51:21,610:INFO:create_model(estimator=BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
  11119. ccp_alpha=0.0,
  11120. class_weight={},
  11121. criterion='entropy',
  11122. max_depth=11,
  11123. max_features='sqrt',
  11124. max_leaf_nodes=None,
  11125. max_samples=None,
  11126. min_impurity_decrease=0.002,
  11127. min_impurity_split=None,
  11128. min_samples_leaf=5,
  11129. min_samples_split=9,
  11130. min_weight_fraction_leaf=0.0,
  11131. n_estimators=30,
  11132. n_jobs=-1,
  11133. oob_score=False,
  11134. random_state=7473,
  11135. verbose=0,
  11136. warm_start=False),
  11137. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11138. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11139. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8583851ee0>, kwargs={})
  11140. 2022-01-18 15:51:21,610:INFO:Checking exceptions
  11141. 2022-01-18 15:51:21,610:INFO:Importing libraries
  11142. 2022-01-18 15:51:21,610:INFO:Copying training dataset
  11143. 2022-01-18 15:51:21,611:INFO:Defining folds
  11144. 2022-01-18 15:51:21,612:INFO:Declaring metric variables
  11145. 2022-01-18 15:51:21,616:INFO:Importing untrained model
  11146. 2022-01-18 15:51:21,617:INFO:Declaring custom model
  11147. 2022-01-18 15:51:21,622:INFO:Extra Trees Classifier Imported succesfully
  11148. 2022-01-18 15:51:21,632:INFO:Starting cross validation
  11149. 2022-01-18 15:51:21,633:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11150. 2022-01-18 15:51:40,344:INFO:Calculating mean and std
  11151. 2022-01-18 15:51:40,345:INFO:Creating metrics dataframe
  11152. 2022-01-18 15:51:40,352:INFO:Finalizing model
  11153. 2022-01-18 15:51:42,023:INFO:Uploading results into container
  11154. 2022-01-18 15:51:42,024:INFO:Uploading model into container now
  11155. 2022-01-18 15:51:42,024:INFO:create_model_container: 36
  11156. 2022-01-18 15:51:42,024:INFO:master_model_container: 36
  11157. 2022-01-18 15:51:42,024:INFO:display_container: 11
  11158. 2022-01-18 15:51:42,025:INFO:BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
  11159. ccp_alpha=0.0,
  11160. class_weight={},
  11161. criterion='entropy',
  11162. max_depth=11,
  11163. max_features='sqrt',
  11164. max_leaf_nodes=None,
  11165. max_samples=None,
  11166. min_impurity_decrease=0.002,
  11167. min_impurity_split=None,
  11168. min_samples_leaf=5,
  11169. min_samples_split=9,
  11170. min_weight_fraction_leaf=0.0,
  11171. n_estimators=30,
  11172. n_jobs=-1,
  11173. oob_score=False,
  11174. random_state=7473,
  11175. verbose=0,
  11176. warm_start=False),
  11177. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11178. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11179. random_state=7473, verbose=0, warm_start=False)
  11180. 2022-01-18 15:51:42,025:INFO:create_model() succesfully completed......................................
  11181. 2022-01-18 15:51:42,108:INFO:SubProcess create_model() end ==================================
  11182. 2022-01-18 15:51:42,117:INFO:create_model_container: 36
  11183. 2022-01-18 15:51:42,118:INFO:master_model_container: 36
  11184. 2022-01-18 15:51:42,118:INFO:display_container: 11
  11185. 2022-01-18 15:51:42,119:INFO:BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
  11186. ccp_alpha=0.0,
  11187. class_weight={},
  11188. criterion='entropy',
  11189. max_depth=11,
  11190. max_features='sqrt',
  11191. max_leaf_nodes=None,
  11192. max_samples=None,
  11193. min_impurity_decrease=0.002,
  11194. min_impurity_split=None,
  11195. min_samples_leaf=5,
  11196. min_samples_split=9,
  11197. min_weight_fraction_leaf=0.0,
  11198. n_estimators=30,
  11199. n_jobs=-1,
  11200. oob_score=False,
  11201. random_state=7473,
  11202. verbose=0,
  11203. warm_start=False),
  11204. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11205. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11206. random_state=7473, verbose=0, warm_start=False)
  11207. 2022-01-18 15:51:42,119:INFO:ensemble_model() succesfully completed......................................
  11208. 2022-01-18 15:51:42,205:INFO:Initializing ensemble_model()
  11209. 2022-01-18 15:51:42,205:INFO:ensemble_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  11210. max_depth=11, max_features=1.0, max_leaf_nodes=None,
  11211. min_impurity_decrease=0.0005, min_impurity_split=None,
  11212. min_samples_leaf=6, min_samples_split=2,
  11213. min_weight_fraction_leaf=0.0, presort='deprecated',
  11214. random_state=7473, splitter='best'), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11215. 2022-01-18 15:51:42,205:INFO:Checking exceptions
  11216. 2022-01-18 15:51:42,206:INFO:Preparing display monitor
  11217. 2022-01-18 15:51:42,217:INFO:Importing libraries
  11218. 2022-01-18 15:51:42,217:INFO:Copying training dataset
  11219. 2022-01-18 15:51:42,218:INFO:Checking base model
  11220. 2022-01-18 15:51:42,218:INFO:Base model : Decision Tree Classifier
  11221. 2022-01-18 15:51:42,228:INFO:Importing untrained ensembler
  11222. 2022-01-18 15:51:42,228:INFO:Ensemble method set to Bagging
  11223. 2022-01-18 15:51:42,228:INFO:SubProcess create_model() called ==================================
  11224. 2022-01-18 15:51:42,229:INFO:Initializing create_model()
  11225. 2022-01-18 15:51:42,229:INFO:create_model(estimator=BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
  11226. class_weight=None,
  11227. criterion='gini',
  11228. max_depth=11,
  11229. max_features=1.0,
  11230. max_leaf_nodes=None,
  11231. min_impurity_decrease=0.0005,
  11232. min_impurity_split=None,
  11233. min_samples_leaf=6,
  11234. min_samples_split=2,
  11235. min_weight_fraction_leaf=0.0,
  11236. presort='deprecated',
  11237. random_state=7473,
  11238. splitter='best'),
  11239. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11240. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11241. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582a567f0>, kwargs={})
  11242. 2022-01-18 15:51:42,229:INFO:Checking exceptions
  11243. 2022-01-18 15:51:42,229:INFO:Importing libraries
  11244. 2022-01-18 15:51:42,230:INFO:Copying training dataset
  11245. 2022-01-18 15:51:42,231:INFO:Defining folds
  11246. 2022-01-18 15:51:42,231:INFO:Declaring metric variables
  11247. 2022-01-18 15:51:42,236:INFO:Importing untrained model
  11248. 2022-01-18 15:51:42,236:INFO:Declaring custom model
  11249. 2022-01-18 15:51:42,241:INFO:Decision Tree Classifier Imported succesfully
  11250. 2022-01-18 15:51:42,252:INFO:Starting cross validation
  11251. 2022-01-18 15:51:42,252:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11252. 2022-01-18 15:51:45,143:INFO:Calculating mean and std
  11253. 2022-01-18 15:51:45,143:INFO:Creating metrics dataframe
  11254. 2022-01-18 15:51:45,150:INFO:Finalizing model
  11255. 2022-01-18 15:51:45,443:INFO:Uploading results into container
  11256. 2022-01-18 15:51:45,443:INFO:Uploading model into container now
  11257. 2022-01-18 15:51:45,443:INFO:create_model_container: 37
  11258. 2022-01-18 15:51:45,443:INFO:master_model_container: 37
  11259. 2022-01-18 15:51:45,444:INFO:display_container: 12
  11260. 2022-01-18 15:51:45,444:INFO:BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
  11261. class_weight=None,
  11262. criterion='gini',
  11263. max_depth=11,
  11264. max_features=1.0,
  11265. max_leaf_nodes=None,
  11266. min_impurity_decrease=0.0005,
  11267. min_impurity_split=None,
  11268. min_samples_leaf=6,
  11269. min_samples_split=2,
  11270. min_weight_fraction_leaf=0.0,
  11271. presort='deprecated',
  11272. random_state=7473,
  11273. splitter='best'),
  11274. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11275. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11276. random_state=7473, verbose=0, warm_start=False)
  11277. 2022-01-18 15:51:45,445:INFO:create_model() succesfully completed......................................
  11278. 2022-01-18 15:51:45,528:INFO:SubProcess create_model() end ==================================
  11279. 2022-01-18 15:51:45,539:INFO:create_model_container: 37
  11280. 2022-01-18 15:51:45,539:INFO:master_model_container: 37
  11281. 2022-01-18 15:51:45,539:INFO:display_container: 12
  11282. 2022-01-18 15:51:45,540:INFO:BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
  11283. class_weight=None,
  11284. criterion='gini',
  11285. max_depth=11,
  11286. max_features=1.0,
  11287. max_leaf_nodes=None,
  11288. min_impurity_decrease=0.0005,
  11289. min_impurity_split=None,
  11290. min_samples_leaf=6,
  11291. min_samples_split=2,
  11292. min_weight_fraction_leaf=0.0,
  11293. presort='deprecated',
  11294. random_state=7473,
  11295. splitter='best'),
  11296. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11297. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11298. random_state=7473, verbose=0, warm_start=False)
  11299. 2022-01-18 15:51:45,540:INFO:ensemble_model() succesfully completed......................................
  11300. 2022-01-18 15:51:45,624:INFO:Initializing ensemble_model()
  11301. 2022-01-18 15:51:45,625:INFO:ensemble_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
  11302. metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
  11303. weights='distance'), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11304. 2022-01-18 15:51:45,625:INFO:Checking exceptions
  11305. 2022-01-18 15:51:45,626:INFO:Preparing display monitor
  11306. 2022-01-18 15:51:45,636:INFO:Importing libraries
  11307. 2022-01-18 15:51:45,637:INFO:Copying training dataset
  11308. 2022-01-18 15:51:45,638:INFO:Checking base model
  11309. 2022-01-18 15:51:45,638:INFO:Base model : K Neighbors Classifier
  11310. 2022-01-18 15:51:45,647:INFO:Importing untrained ensembler
  11311. 2022-01-18 15:51:45,648:INFO:Ensemble method set to Bagging
  11312. 2022-01-18 15:51:45,648:INFO:SubProcess create_model() called ==================================
  11313. 2022-01-18 15:51:45,649:INFO:Initializing create_model()
  11314. 2022-01-18 15:51:45,649:INFO:create_model(estimator=BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
  11315. leaf_size=30,
  11316. metric='manhattan',
  11317. metric_params=None,
  11318. n_jobs=-1, n_neighbors=32,
  11319. p=2, weights='distance'),
  11320. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11321. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11322. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582e5c820>, kwargs={})
  11323. 2022-01-18 15:51:45,649:INFO:Checking exceptions
  11324. 2022-01-18 15:51:45,649:INFO:Importing libraries
  11325. 2022-01-18 15:51:45,650:INFO:Copying training dataset
  11326. 2022-01-18 15:51:45,651:INFO:Defining folds
  11327. 2022-01-18 15:51:45,651:INFO:Declaring metric variables
  11328. 2022-01-18 15:51:45,656:INFO:Importing untrained model
  11329. 2022-01-18 15:51:45,656:INFO:Declaring custom model
  11330. 2022-01-18 15:51:45,662:INFO:K Neighbors Classifier Imported succesfully
  11331. 2022-01-18 15:51:45,673:INFO:Starting cross validation
  11332. 2022-01-18 15:51:45,673:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11333. 2022-01-18 15:54:41,160:INFO:Calculating mean and std
  11334. 2022-01-18 15:54:41,161:INFO:Creating metrics dataframe
  11335. 2022-01-18 15:54:41,168:INFO:Finalizing model
  11336. 2022-01-18 15:54:55,488:INFO:Uploading results into container
  11337. 2022-01-18 15:54:55,489:INFO:Uploading model into container now
  11338. 2022-01-18 15:54:55,489:INFO:create_model_container: 38
  11339. 2022-01-18 15:54:55,489:INFO:master_model_container: 38
  11340. 2022-01-18 15:54:55,489:INFO:display_container: 13
  11341. 2022-01-18 15:54:55,490:INFO:BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
  11342. leaf_size=30,
  11343. metric='manhattan',
  11344. metric_params=None,
  11345. n_jobs=-1, n_neighbors=32,
  11346. p=2, weights='distance'),
  11347. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11348. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11349. random_state=7473, verbose=0, warm_start=False)
  11350. 2022-01-18 15:54:55,490:INFO:create_model() succesfully completed......................................
  11351. 2022-01-18 15:54:55,575:INFO:SubProcess create_model() end ==================================
  11352. 2022-01-18 15:54:55,585:INFO:create_model_container: 38
  11353. 2022-01-18 15:54:55,585:INFO:master_model_container: 38
  11354. 2022-01-18 15:54:55,586:INFO:display_container: 13
  11355. 2022-01-18 15:54:55,586:INFO:BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
  11356. leaf_size=30,
  11357. metric='manhattan',
  11358. metric_params=None,
  11359. n_jobs=-1, n_neighbors=32,
  11360. p=2, weights='distance'),
  11361. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11362. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11363. random_state=7473, verbose=0, warm_start=False)
  11364. 2022-01-18 15:54:55,586:INFO:ensemble_model() succesfully completed......................................
  11365. 2022-01-18 15:54:55,680:INFO:Initializing ensemble_model()
  11366. 2022-01-18 15:54:55,681:INFO:ensemble_model(estimator=LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
  11367. class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
  11368. importance_type='split', learning_rate=0.15, max_depth=-1,
  11369. min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
  11370. n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
  11371. random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
  11372. silent='warn', subsample=1.0, subsample_for_bin=200000,
  11373. subsample_freq=0), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11374. 2022-01-18 15:54:55,681:INFO:Checking exceptions
  11375. 2022-01-18 15:54:55,682:INFO:Preparing display monitor
  11376. 2022-01-18 15:54:55,692:INFO:Importing libraries
  11377. 2022-01-18 15:54:55,692:INFO:Copying training dataset
  11378. 2022-01-18 15:54:55,694:INFO:Checking base model
  11379. 2022-01-18 15:54:55,694:INFO:Base model : Light Gradient Boosting Machine
  11380. 2022-01-18 15:54:55,704:INFO:Importing untrained ensembler
  11381. 2022-01-18 15:54:55,704:INFO:Ensemble method set to Bagging
  11382. 2022-01-18 15:54:55,705:INFO:SubProcess create_model() called ==================================
  11383. 2022-01-18 15:54:55,706:INFO:Initializing create_model()
  11384. 2022-01-18 15:54:55,706:INFO:create_model(estimator=BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
  11385. bagging_freq=3,
  11386. boosting_type='gbdt',
  11387. class_weight=None,
  11388. colsample_bytree=1.0,
  11389. feature_fraction=0.9,
  11390. importance_type='split',
  11391. learning_rate=0.15,
  11392. max_depth=-1,
  11393. min_child_samples=61,
  11394. min_child_weight=0.001,
  11395. min_split_gain=0.5,
  11396. n_estimators=120, n_jobs=-1,
  11397. num_leaves=90, objective=None,
  11398. random_state=7473,
  11399. reg_alpha=0.4,
  11400. reg_lambda=0.0005,
  11401. silent='warn', subsample=1.0,
  11402. subsample_for_bin=200000,
  11403. subsample_freq=0),
  11404. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11405. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11406. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8584510d90>, kwargs={})
  11407. 2022-01-18 15:54:55,706:INFO:Checking exceptions
  11408. 2022-01-18 15:54:55,707:INFO:Importing libraries
  11409. 2022-01-18 15:54:55,707:INFO:Copying training dataset
  11410. 2022-01-18 15:54:55,708:INFO:Defining folds
  11411. 2022-01-18 15:54:55,708:INFO:Declaring metric variables
  11412. 2022-01-18 15:54:55,713:INFO:Importing untrained model
  11413. 2022-01-18 15:54:55,713:INFO:Declaring custom model
  11414. 2022-01-18 15:54:55,719:INFO:Light Gradient Boosting Machine Imported succesfully
  11415. 2022-01-18 15:54:55,729:INFO:Starting cross validation
  11416. 2022-01-18 15:54:55,730:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11417. 2022-01-18 15:55:56,691:INFO:Calculating mean and std
  11418. 2022-01-18 15:55:56,692:INFO:Creating metrics dataframe
  11419. 2022-01-18 15:55:56,699:INFO:Finalizing model
  11420. 2022-01-18 15:56:03,239:INFO:Uploading results into container
  11421. 2022-01-18 15:56:03,239:INFO:Uploading model into container now
  11422. 2022-01-18 15:56:03,240:INFO:create_model_container: 39
  11423. 2022-01-18 15:56:03,240:INFO:master_model_container: 39
  11424. 2022-01-18 15:56:03,240:INFO:display_container: 14
  11425. 2022-01-18 15:56:03,241:INFO:BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
  11426. bagging_freq=3,
  11427. boosting_type='gbdt',
  11428. class_weight=None,
  11429. colsample_bytree=1.0,
  11430. feature_fraction=0.9,
  11431. importance_type='split',
  11432. learning_rate=0.15,
  11433. max_depth=-1,
  11434. min_child_samples=61,
  11435. min_child_weight=0.001,
  11436. min_split_gain=0.5,
  11437. n_estimators=120, n_jobs=-1,
  11438. num_leaves=90, objective=None,
  11439. random_state=7473,
  11440. reg_alpha=0.4,
  11441. reg_lambda=0.0005,
  11442. silent='warn', subsample=1.0,
  11443. subsample_for_bin=200000,
  11444. subsample_freq=0),
  11445. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11446. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11447. random_state=7473, verbose=0, warm_start=False)
  11448. 2022-01-18 15:56:03,241:INFO:create_model() succesfully completed......................................
  11449. 2022-01-18 15:56:03,320:INFO:SubProcess create_model() end ==================================
  11450. 2022-01-18 15:56:03,330:INFO:create_model_container: 39
  11451. 2022-01-18 15:56:03,330:INFO:master_model_container: 39
  11452. 2022-01-18 15:56:03,330:INFO:display_container: 14
  11453. 2022-01-18 15:56:03,331:INFO:BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
  11454. bagging_freq=3,
  11455. boosting_type='gbdt',
  11456. class_weight=None,
  11457. colsample_bytree=1.0,
  11458. feature_fraction=0.9,
  11459. importance_type='split',
  11460. learning_rate=0.15,
  11461. max_depth=-1,
  11462. min_child_samples=61,
  11463. min_child_weight=0.001,
  11464. min_split_gain=0.5,
  11465. n_estimators=120, n_jobs=-1,
  11466. num_leaves=90, objective=None,
  11467. random_state=7473,
  11468. reg_alpha=0.4,
  11469. reg_lambda=0.0005,
  11470. silent='warn', subsample=1.0,
  11471. subsample_for_bin=200000,
  11472. subsample_freq=0),
  11473. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11474. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11475. random_state=7473, verbose=0, warm_start=False)
  11476. 2022-01-18 15:56:03,331:INFO:ensemble_model() succesfully completed......................................
  11477. 2022-01-18 15:56:03,430:INFO:Initializing ensemble_model()
  11478. 2022-01-18 15:56:03,430:INFO:ensemble_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  11479. learning_rate=0.2, loss='deviance', max_depth=11,
  11480. max_features=1.0, max_leaf_nodes=None,
  11481. min_impurity_decrease=0.1, min_impurity_split=None,
  11482. min_samples_leaf=5, min_samples_split=2,
  11483. min_weight_fraction_leaf=0.0, n_estimators=60,
  11484. n_iter_no_change=None, presort='deprecated',
  11485. random_state=7473, subsample=0.75, tol=0.0001,
  11486. validation_fraction=0.1, verbose=0,
  11487. warm_start=False), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11488. 2022-01-18 15:56:03,431:INFO:Checking exceptions
  11489. 2022-01-18 15:56:03,432:INFO:Preparing display monitor
  11490. 2022-01-18 15:56:03,442:INFO:Importing libraries
  11491. 2022-01-18 15:56:03,443:INFO:Copying training dataset
  11492. 2022-01-18 15:56:03,444:INFO:Checking base model
  11493. 2022-01-18 15:56:03,444:INFO:Base model : Gradient Boosting Classifier
  11494. 2022-01-18 15:56:03,454:INFO:Importing untrained ensembler
  11495. 2022-01-18 15:56:03,454:INFO:Ensemble method set to Bagging
  11496. 2022-01-18 15:56:03,454:INFO:SubProcess create_model() called ==================================
  11497. 2022-01-18 15:56:03,455:INFO:Initializing create_model()
  11498. 2022-01-18 15:56:03,456:INFO:create_model(estimator=BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
  11499. criterion='friedman_mse',
  11500. init=None,
  11501. learning_rate=0.2,
  11502. loss='deviance',
  11503. max_depth=11,
  11504. max_features=1.0,
  11505. max_leaf_nodes=None,
  11506. min_impurity_decrease=0.1,
  11507. min_impurity_split=None,
  11508. min_samples_leaf=5,
  11509. min_samples_split=2,
  11510. min_weight_fraction_leaf=0.0,
  11511. n_estimators=60,
  11512. n_iter_no_change=None,
  11513. presort='deprecated',
  11514. random_state=7473,
  11515. subsample=0.75,
  11516. tol=0.0001,
  11517. validation_fraction=0.1,
  11518. verbose=0,
  11519. warm_start=False),
  11520. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11521. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11522. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8568f4a340>, kwargs={})
  11523. 2022-01-18 15:56:03,456:INFO:Checking exceptions
  11524. 2022-01-18 15:56:03,456:INFO:Importing libraries
  11525. 2022-01-18 15:56:03,456:INFO:Copying training dataset
  11526. 2022-01-18 15:56:03,457:INFO:Defining folds
  11527. 2022-01-18 15:56:03,458:INFO:Declaring metric variables
  11528. 2022-01-18 15:56:03,463:INFO:Importing untrained model
  11529. 2022-01-18 15:56:03,463:INFO:Declaring custom model
  11530. 2022-01-18 15:56:03,468:INFO:Gradient Boosting Classifier Imported succesfully
  11531. 2022-01-18 15:56:03,479:INFO:Starting cross validation
  11532. 2022-01-18 15:56:03,479:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11533. 2022-01-18 15:58:16,629:INFO:Calculating mean and std
  11534. 2022-01-18 15:58:16,630:INFO:Creating metrics dataframe
  11535. 2022-01-18 15:58:16,637:INFO:Finalizing model
  11536. 2022-01-18 15:58:31,795:INFO:Uploading results into container
  11537. 2022-01-18 15:58:31,796:INFO:Uploading model into container now
  11538. 2022-01-18 15:58:31,796:INFO:create_model_container: 40
  11539. 2022-01-18 15:58:31,796:INFO:master_model_container: 40
  11540. 2022-01-18 15:58:31,796:INFO:display_container: 15
  11541. 2022-01-18 15:58:31,797:INFO:BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
  11542. criterion='friedman_mse',
  11543. init=None,
  11544. learning_rate=0.2,
  11545. loss='deviance',
  11546. max_depth=11,
  11547. max_features=1.0,
  11548. max_leaf_nodes=None,
  11549. min_impurity_decrease=0.1,
  11550. min_impurity_split=None,
  11551. min_samples_leaf=5,
  11552. min_samples_split=2,
  11553. min_weight_fraction_leaf=0.0,
  11554. n_estimators=60,
  11555. n_iter_no_change=None,
  11556. presort='deprecated',
  11557. random_state=7473,
  11558. subsample=0.75,
  11559. tol=0.0001,
  11560. validation_fraction=0.1,
  11561. verbose=0,
  11562. warm_start=False),
  11563. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11564. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11565. random_state=7473, verbose=0, warm_start=False)
  11566. 2022-01-18 15:58:31,797:INFO:create_model() succesfully completed......................................
  11567. 2022-01-18 15:58:31,876:INFO:SubProcess create_model() end ==================================
  11568. 2022-01-18 15:58:31,885:INFO:create_model_container: 40
  11569. 2022-01-18 15:58:31,886:INFO:master_model_container: 40
  11570. 2022-01-18 15:58:31,886:INFO:display_container: 15
  11571. 2022-01-18 15:58:31,887:INFO:BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
  11572. criterion='friedman_mse',
  11573. init=None,
  11574. learning_rate=0.2,
  11575. loss='deviance',
  11576. max_depth=11,
  11577. max_features=1.0,
  11578. max_leaf_nodes=None,
  11579. min_impurity_decrease=0.1,
  11580. min_impurity_split=None,
  11581. min_samples_leaf=5,
  11582. min_samples_split=2,
  11583. min_weight_fraction_leaf=0.0,
  11584. n_estimators=60,
  11585. n_iter_no_change=None,
  11586. presort='deprecated',
  11587. random_state=7473,
  11588. subsample=0.75,
  11589. tol=0.0001,
  11590. validation_fraction=0.1,
  11591. verbose=0,
  11592. warm_start=False),
  11593. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11594. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11595. random_state=7473, verbose=0, warm_start=False)
  11596. 2022-01-18 15:58:31,887:INFO:ensemble_model() succesfully completed......................................
  11597. 2022-01-18 15:58:31,977:INFO:Initializing blend_models()
  11598. 2022-01-18 15:58:31,977:INFO:blend_models(estimator_list=[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  11599. criterion='gini', max_depth=None, max_features='auto',
  11600. max_leaf_nodes=None, max_samples=None,
  11601. min_impurity_decrease=0.0, min_impurity_split=None,
  11602. min_samples_leaf=1, min_samples_split=2,
  11603. min_weight_fraction_leaf=0.0, n_estimators=100,
  11604. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  11605. warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  11606. criterion='gini', max_depth=None, max_features='auto',
  11607. max_leaf_nodes=None, max_samples=None,
  11608. min_impurity_decrease=0.0, min_impurity_split=None,
  11609. min_samples_leaf=1, min_samples_split=2,
  11610. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  11611. oob_score=False, random_state=7473, verbose=0,
  11612. warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  11613. max_depth=None, max_features=None, max_leaf_nodes=None,
  11614. min_impurity_decrease=0.0, min_impurity_split=None,
  11615. min_samples_leaf=1, min_samples_split=2,
  11616. min_weight_fraction_leaf=0.0, presort='deprecated',
  11617. random_state=7473, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  11618. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  11619. weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  11620. importance_type='split', learning_rate=0.1, max_depth=-1,
  11621. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  11622. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  11623. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  11624. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  11625. learning_rate=0.1, loss='deviance', max_depth=3,
  11626. max_features=None, max_leaf_nodes=None,
  11627. min_impurity_decrease=0.0, min_impurity_split=None,
  11628. min_samples_leaf=1, min_samples_split=2,
  11629. min_weight_fraction_leaf=0.0, n_estimators=100,
  11630. n_iter_no_change=None, presort='deprecated',
  11631. random_state=7473, subsample=1.0, tol=0.0001,
  11632. validation_fraction=0.1, verbose=0,
  11633. warm_start=False)], fold=None, round=4, choose_better=False, optimize=Accuracy, method=auto, weights=None, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11634. 2022-01-18 15:58:31,977:INFO:Checking exceptions
  11635. 2022-01-18 15:58:31,978:INFO:Preparing display monitor
  11636. 2022-01-18 15:58:31,988:INFO:Importing libraries
  11637. 2022-01-18 15:58:31,989:INFO:Copying training dataset
  11638. 2022-01-18 15:58:31,995:INFO:Getting model names
  11639. 2022-01-18 15:58:32,000:INFO:SubProcess create_model() called ==================================
  11640. 2022-01-18 15:58:32,004:INFO:Initializing create_model()
  11641. 2022-01-18 15:58:32,005:INFO:create_model(estimator=VotingClassifier(estimators=[('rf',
  11642. RandomForestClassifier(bootstrap=True,
  11643. ccp_alpha=0.0,
  11644. class_weight=None,
  11645. criterion='gini',
  11646. max_depth=None,
  11647. max_features='auto',
  11648. max_leaf_nodes=None,
  11649. max_samples=None,
  11650. min_impurity_decrease=0.0,
  11651. min_impurity_split=None,
  11652. min_samples_leaf=1,
  11653. min_samples_split=2,
  11654. min_weight_fraction_leaf=0.0,
  11655. n_estimators=100,
  11656. n_jobs=-1, oob_score=F...
  11657. max_leaf_nodes=None,
  11658. min_impurity_decrease=0.0,
  11659. min_impurity_split=None,
  11660. min_samples_leaf=1,
  11661. min_samples_split=2,
  11662. min_weight_fraction_leaf=0.0,
  11663. n_estimators=100,
  11664. n_iter_no_change=None,
  11665. presort='deprecated',
  11666. random_state=7473,
  11667. subsample=1.0,
  11668. tol=0.0001,
  11669. validation_fraction=0.1,
  11670. verbose=0,
  11671. warm_start=False))],
  11672. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11673. weights=None), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8584510d90>, kwargs={})
  11674. 2022-01-18 15:58:32,005:INFO:Checking exceptions
  11675. 2022-01-18 15:58:32,005:INFO:Importing libraries
  11676. 2022-01-18 15:58:32,005:INFO:Copying training dataset
  11677. 2022-01-18 15:58:32,007:INFO:Defining folds
  11678. 2022-01-18 15:58:32,007:INFO:Declaring metric variables
  11679. 2022-01-18 15:58:32,012:INFO:Importing untrained model
  11680. 2022-01-18 15:58:32,013:INFO:Declaring custom model
  11681. 2022-01-18 15:58:32,020:INFO:Voting Classifier Imported succesfully
  11682. 2022-01-18 15:58:32,031:INFO:Starting cross validation
  11683. 2022-01-18 15:58:32,031:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11684. 2022-01-18 15:59:19,663:INFO:Calculating mean and std
  11685. 2022-01-18 15:59:19,664:INFO:Creating metrics dataframe
  11686. 2022-01-18 15:59:19,671:INFO:Finalizing model
  11687. 2022-01-18 15:59:24,372:INFO:Uploading results into container
  11688. 2022-01-18 15:59:24,373:INFO:Uploading model into container now
  11689. 2022-01-18 15:59:24,373:INFO:create_model_container: 41
  11690. 2022-01-18 15:59:24,373:INFO:master_model_container: 41
  11691. 2022-01-18 15:59:24,373:INFO:display_container: 16
  11692. 2022-01-18 15:59:24,377:INFO:VotingClassifier(estimators=[('rf',
  11693. RandomForestClassifier(bootstrap=True,
  11694. ccp_alpha=0.0,
  11695. class_weight=None,
  11696. criterion='gini',
  11697. max_depth=None,
  11698. max_features='auto',
  11699. max_leaf_nodes=None,
  11700. max_samples=None,
  11701. min_impurity_decrease=0.0,
  11702. min_impurity_split=None,
  11703. min_samples_leaf=1,
  11704. min_samples_split=2,
  11705. min_weight_fraction_leaf=0.0,
  11706. n_estimators=100,
  11707. n_jobs=-1, oob_score=F...
  11708. max_leaf_nodes=None,
  11709. min_impurity_decrease=0.0,
  11710. min_impurity_split=None,
  11711. min_samples_leaf=1,
  11712. min_samples_split=2,
  11713. min_weight_fraction_leaf=0.0,
  11714. n_estimators=100,
  11715. n_iter_no_change=None,
  11716. presort='deprecated',
  11717. random_state=7473,
  11718. subsample=1.0,
  11719. tol=0.0001,
  11720. validation_fraction=0.1,
  11721. verbose=0,
  11722. warm_start=False))],
  11723. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11724. weights=None)
  11725. 2022-01-18 15:59:24,378:INFO:create_model() succesfully completed......................................
  11726. 2022-01-18 15:59:24,458:INFO:SubProcess create_model() end ==================================
  11727. 2022-01-18 15:59:24,468:INFO:create_model_container: 41
  11728. 2022-01-18 15:59:24,468:INFO:master_model_container: 41
  11729. 2022-01-18 15:59:24,468:INFO:display_container: 16
  11730. 2022-01-18 15:59:24,473:INFO:VotingClassifier(estimators=[('rf',
  11731. RandomForestClassifier(bootstrap=True,
  11732. ccp_alpha=0.0,
  11733. class_weight=None,
  11734. criterion='gini',
  11735. max_depth=None,
  11736. max_features='auto',
  11737. max_leaf_nodes=None,
  11738. max_samples=None,
  11739. min_impurity_decrease=0.0,
  11740. min_impurity_split=None,
  11741. min_samples_leaf=1,
  11742. min_samples_split=2,
  11743. min_weight_fraction_leaf=0.0,
  11744. n_estimators=100,
  11745. n_jobs=-1, oob_score=F...
  11746. max_leaf_nodes=None,
  11747. min_impurity_decrease=0.0,
  11748. min_impurity_split=None,
  11749. min_samples_leaf=1,
  11750. min_samples_split=2,
  11751. min_weight_fraction_leaf=0.0,
  11752. n_estimators=100,
  11753. n_iter_no_change=None,
  11754. presort='deprecated',
  11755. random_state=7473,
  11756. subsample=1.0,
  11757. tol=0.0001,
  11758. validation_fraction=0.1,
  11759. verbose=0,
  11760. warm_start=False))],
  11761. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11762. weights=None)
  11763. 2022-01-18 15:59:24,473:INFO:blend_models() succesfully completed......................................
  11764. 2022-01-18 15:59:24,557:INFO:Initializing automl()
  11765. 2022-01-18 15:59:24,557:INFO:automl(optimize=F1, use_holdout=False)
  11766. 2022-01-18 15:59:24,558:INFO:Model Selection Basis : CV Results on Training set
  11767. 2022-01-18 15:59:24,565:INFO:Initializing create_model()
  11768. 2022-01-18 15:59:24,565:INFO:create_model(estimator=VotingClassifier(estimators=[('rf',
  11769. RandomForestClassifier(bootstrap=True,
  11770. ccp_alpha=0.0,
  11771. class_weight=None,
  11772. criterion='gini',
  11773. max_depth=None,
  11774. max_features='auto',
  11775. max_leaf_nodes=None,
  11776. max_samples=None,
  11777. min_impurity_decrease=0.0,
  11778. min_impurity_split=None,
  11779. min_samples_leaf=1,
  11780. min_samples_split=2,
  11781. min_weight_fraction_leaf=0.0,
  11782. n_estimators=100,
  11783. n_jobs=-1, oob_score=F...
  11784. max_leaf_nodes=None,
  11785. min_impurity_decrease=0.0,
  11786. min_impurity_split=None,
  11787. min_samples_leaf=1,
  11788. min_samples_split=2,
  11789. min_weight_fraction_leaf=0.0,
  11790. n_estimators=100,
  11791. n_iter_no_change=None,
  11792. presort='deprecated',
  11793. random_state=7473,
  11794. subsample=1.0,
  11795. tol=0.0001,
  11796. validation_fraction=0.1,
  11797. verbose=0,
  11798. warm_start=False))],
  11799. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11800. weights=None), fold=None, round=4, cross_validation=False, predict=False, fit_kwargs=None, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  11801. 2022-01-18 15:59:24,566:INFO:Checking exceptions
  11802. 2022-01-18 15:59:24,566:INFO:Importing libraries
  11803. 2022-01-18 15:59:24,566:INFO:Copying training dataset
  11804. 2022-01-18 15:59:24,567:INFO:Defining folds
  11805. 2022-01-18 15:59:24,567:INFO:Declaring metric variables
  11806. 2022-01-18 15:59:24,567:INFO:Importing untrained model
  11807. 2022-01-18 15:59:24,567:INFO:Declaring custom model
  11808. 2022-01-18 15:59:24,569:INFO:Voting Classifier Imported succesfully
  11809. 2022-01-18 15:59:24,569:INFO:Cross validation set to False
  11810. 2022-01-18 15:59:24,570:INFO:Fitting Model
  11811. 2022-01-18 15:59:29,312:INFO:VotingClassifier(estimators=[('rf',
  11812. RandomForestClassifier(bootstrap=True,
  11813. ccp_alpha=0.0,
  11814. class_weight=None,
  11815. criterion='gini',
  11816. max_depth=None,
  11817. max_features='auto',
  11818. max_leaf_nodes=None,
  11819. max_samples=None,
  11820. min_impurity_decrease=0.0,
  11821. min_impurity_split=None,
  11822. min_samples_leaf=1,
  11823. min_samples_split=2,
  11824. min_weight_fraction_leaf=0.0,
  11825. n_estimators=100,
  11826. n_jobs=-1, oob_score=F...
  11827. max_leaf_nodes=None,
  11828. min_impurity_decrease=0.0,
  11829. min_impurity_split=None,
  11830. min_samples_leaf=1,
  11831. min_samples_split=2,
  11832. min_weight_fraction_leaf=0.0,
  11833. n_estimators=100,
  11834. n_iter_no_change=None,
  11835. presort='deprecated',
  11836. random_state=7473,
  11837. subsample=1.0,
  11838. tol=0.0001,
  11839. validation_fraction=0.1,
  11840. verbose=0,
  11841. warm_start=False))],
  11842. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11843. weights=None)
  11844. 2022-01-18 15:59:29,312:INFO:create_models() succesfully completed......................................
  11845. 2022-01-18 15:59:29,395:INFO:VotingClassifier(estimators=[('rf',
  11846. RandomForestClassifier(bootstrap=True,
  11847. ccp_alpha=0.0,
  11848. class_weight=None,
  11849. criterion='gini',
  11850. max_depth=None,
  11851. max_features='auto',
  11852. max_leaf_nodes=None,
  11853. max_samples=None,
  11854. min_impurity_decrease=0.0,
  11855. min_impurity_split=None,
  11856. min_samples_leaf=1,
  11857. min_samples_split=2,
  11858. min_weight_fraction_leaf=0.0,
  11859. n_estimators=100,
  11860. n_jobs=-1, oob_score=F...
  11861. max_leaf_nodes=None,
  11862. min_impurity_decrease=0.0,
  11863. min_impurity_split=None,
  11864. min_samples_leaf=1,
  11865. min_samples_split=2,
  11866. min_weight_fraction_leaf=0.0,
  11867. n_estimators=100,
  11868. n_iter_no_change=None,
  11869. presort='deprecated',
  11870. random_state=7473,
  11871. subsample=1.0,
  11872. tol=0.0001,
  11873. validation_fraction=0.1,
  11874. verbose=0,
  11875. warm_start=False))],
  11876. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11877. weights=None)
  11878. 2022-01-18 15:59:29,395:INFO:automl() succesfully completed......................................
  11879. 2022-01-24 17:00:57,351:INFO:PyCaret Supervised Module
  11880. 2022-01-24 17:00:57,352:INFO:ML Usecase: classification
  11881. 2022-01-24 17:00:57,352:INFO:version 2.3.6
  11882. 2022-01-24 17:00:57,352:INFO:Initializing setup()
  11883. 2022-01-24 17:00:57,352:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  11884. 2022-01-24 17:00:57,353:INFO:Checking environment
  11885. 2022-01-24 17:00:57,353:INFO:python_version: 3.8.8
  11886. 2022-01-24 17:00:57,353:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  11887. 2022-01-24 17:00:57,353:INFO:machine: x86_64
  11888. 2022-01-24 17:00:57,353:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  11889. 2022-01-24 17:00:57,353:INFO:Memory: svmem(total=33619935232, available=27133919232, percent=19.3, used=5633220608, free=24227573760, active=1520721920, inactive=7199526912, buffers=907464704, cached=2851676160, shared=383610880, slab=321990656)
  11890. 2022-01-24 17:00:57,354:INFO:Physical Core: 16
  11891. 2022-01-24 17:00:57,354:INFO:Logical Core: 32
  11892. 2022-01-24 17:00:57,354:INFO:Checking libraries
  11893. 2022-01-24 17:00:57,355:INFO:pd==1.2.4
  11894. 2022-01-24 17:00:57,355:INFO:numpy==1.19.5
  11895. 2022-01-24 17:00:57,355:INFO:sklearn==0.23.2
  11896. 2022-01-24 17:00:57,355:INFO:lightgbm==3.3.2
  11897. 2022-01-24 17:00:57,356:WARNING:catboost not found
  11898. 2022-01-24 17:00:57,356:WARNING:xgboost not found
  11899. 2022-01-24 17:00:57,356:INFO:mlflow==1.22.0
  11900. 2022-01-24 17:00:57,356:INFO:Checking Exceptions
  11901. 2022-01-24 17:00:57,357:INFO:Declaring global variables
  11902. 2022-01-24 17:00:57,357:INFO:USI: 5f8a
  11903. 2022-01-24 17:00:57,357:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  11904. 2022-01-24 17:00:57,357:INFO:Preparing display monitor
  11905. 2022-01-24 17:00:57,357:INFO:Preparing display monitor
  11906. 2022-01-24 17:00:57,365:INFO:Importing libraries
  11907. 2022-01-24 17:00:57,366:INFO:Copying data for preprocessing
  11908. 2022-01-24 17:00:57,372:INFO:Declaring preprocessing parameters
  11909. 2022-01-24 17:00:57,372:WARNING:cuML not found
  11910. 2022-01-24 17:00:57,372:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  11911. 2022-01-24 17:00:57,375:INFO:Creating preprocessing pipeline
  11912. 2022-01-24 17:00:57,404:INFO:Preprocessing pipeline created successfully
  11913. 2022-01-24 17:00:57,404:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  11914. 2022-01-24 17:00:57,405:INFO:Creating global containers
  11915. 2022-01-24 17:00:57,405:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  11916. 2022-01-24 17:01:00,466:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  11917. 2022-01-24 17:01:00,493:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  11918. 2022-01-24 17:01:00,494:WARNING:Couldn't import cuml.MBSGDClassifier
  11919. 2022-01-24 17:01:00,495:WARNING:Couldn't import cuml.svm.SVC
  11920. 2022-01-24 17:01:00,509:WARNING:Couldn't import cuml.linear_model
  11921. 2022-01-24 17:01:00,512:WARNING:Couldn't import cuml.ensemble
  11922. 2022-01-24 17:01:00,513:WARNING:Couldn't import xgboost.XGBClassifier
  11923. 2022-01-24 17:01:00,516:WARNING:Couldn't import catboost.CatBoostClassifier
  11924. 2022-01-24 17:01:00,517:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  11925. 2022-01-24 17:01:00,551:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  11926. 2022-01-24 17:01:00,552:WARNING:Couldn't import cuml.MBSGDClassifier
  11927. 2022-01-24 17:01:00,553:WARNING:Couldn't import cuml.svm.SVC
  11928. 2022-01-24 17:01:00,567:WARNING:Couldn't import cuml.linear_model
  11929. 2022-01-24 17:01:00,571:WARNING:Couldn't import cuml.ensemble
  11930. 2022-01-24 17:01:00,572:WARNING:Couldn't import xgboost.XGBClassifier
  11931. 2022-01-24 17:01:00,576:WARNING:Couldn't import catboost.CatBoostClassifier
  11932. 2022-01-24 17:01:00,577:INFO:Creating grid variables
  11933. 2022-01-24 17:01:00,590:INFO:create_model_container: 0
  11934. 2022-01-24 17:01:00,590:INFO:master_model_container: 0
  11935. 2022-01-24 17:01:00,591:INFO:display_container: 1
  11936. 2022-01-24 17:01:00,593:INFO:Pipeline(memory=None,
  11937. steps=[('dtypes',
  11938. DataTypes_Auto_infer(categorical_features=[],
  11939. display_types=True, features_todrop=[],
  11940. id_columns=[],
  11941. ml_usecase='classification',
  11942. numerical_features=[], target='label',
  11943. time_features=[])),
  11944. ('imputer',
  11945. Simple_Imputer(categorical_strategy='not_available',
  11946. fill_value_categorical=None,
  11947. fill_value_numerical=None,
  11948. numeric_strate...
  11949. target='label')),
  11950. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  11951. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  11952. ('dummy', Dummify(target='label')),
  11953. ('fix_perfect', Remove_100(target='label')),
  11954. ('clean_names', Clean_Colum_Names()),
  11955. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  11956. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  11957. verbose=False)
  11958. 2022-01-24 17:01:00,594:INFO:setup() succesfully completed......................................
  11959. 2022-01-24 17:08:20,805:INFO:Initializing compare_models()
  11960. 2022-01-24 17:08:20,805:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  11961. 2022-01-24 17:08:20,806:INFO:Checking exceptions
  11962. 2022-01-24 17:08:20,807:INFO:Preparing display monitor
  11963. 2022-01-24 17:08:20,807:INFO:Preparing display monitor
  11964. 2022-01-24 17:08:20,823:INFO:Initializing Logistic Regression
  11965. 2022-01-24 17:08:20,823:INFO:Total runtime is 6.004174550374349e-06 minutes
  11966. 2022-01-24 17:08:20,829:INFO:SubProcess create_model() called ==================================
  11967. 2022-01-24 17:08:20,829:INFO:Initializing create_model()
  11968. 2022-01-24 17:08:20,829:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  11969. 2022-01-24 17:08:20,829:INFO:Checking exceptions
  11970. 2022-01-24 17:08:20,829:INFO:Importing libraries
  11971. 2022-01-24 17:08:20,830:INFO:Copying training dataset
  11972. 2022-01-24 17:08:20,832:INFO:Defining folds
  11973. 2022-01-24 17:08:20,832:INFO:Declaring metric variables
  11974. 2022-01-24 17:08:20,837:INFO:Importing untrained model
  11975. 2022-01-24 17:08:20,842:INFO:Logistic Regression Imported succesfully
  11976. 2022-01-24 17:08:20,852:INFO:Starting cross validation
  11977. 2022-01-24 17:08:20,853:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11978. 2022-01-24 17:08:28,104:INFO:Calculating mean and std
  11979. 2022-01-24 17:08:28,107:INFO:Creating metrics dataframe
  11980. 2022-01-24 17:08:28,115:INFO:Uploading results into container
  11981. 2022-01-24 17:08:28,116:INFO:Uploading model into container now
  11982. 2022-01-24 17:08:28,117:INFO:create_model_container: 1
  11983. 2022-01-24 17:08:28,117:INFO:master_model_container: 1
  11984. 2022-01-24 17:08:28,117:INFO:display_container: 2
  11985. 2022-01-24 17:08:28,118:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  11986. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  11987. multi_class='auto', n_jobs=None, penalty='l2',
  11988. random_state=6174, solver='lbfgs', tol=0.0001, verbose=0,
  11989. warm_start=False)
  11990. 2022-01-24 17:08:28,118:INFO:create_model() succesfully completed......................................
  11991. 2022-01-24 17:08:28,216:INFO:SubProcess create_model() end ==================================
  11992. 2022-01-24 17:08:28,216:INFO:Creating metrics dataframe
  11993. 2022-01-24 17:08:28,225:INFO:Initializing K Neighbors Classifier
  11994. 2022-01-24 17:08:28,225:INFO:Total runtime is 0.12337379852930705 minutes
  11995. 2022-01-24 17:08:28,231:INFO:SubProcess create_model() called ==================================
  11996. 2022-01-24 17:08:28,231:INFO:Initializing create_model()
  11997. 2022-01-24 17:08:28,231:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  11998. 2022-01-24 17:08:28,231:INFO:Checking exceptions
  11999. 2022-01-24 17:08:28,232:INFO:Importing libraries
  12000. 2022-01-24 17:08:28,232:INFO:Copying training dataset
  12001. 2022-01-24 17:08:28,233:INFO:Defining folds
  12002. 2022-01-24 17:08:28,233:INFO:Declaring metric variables
  12003. 2022-01-24 17:08:28,238:INFO:Importing untrained model
  12004. 2022-01-24 17:08:28,242:INFO:K Neighbors Classifier Imported succesfully
  12005. 2022-01-24 17:08:28,252:INFO:Starting cross validation
  12006. 2022-01-24 17:08:28,253:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12007. 2022-01-24 17:08:46,894:INFO:Calculating mean and std
  12008. 2022-01-24 17:08:46,895:INFO:Creating metrics dataframe
  12009. 2022-01-24 17:08:46,898:INFO:Uploading results into container
  12010. 2022-01-24 17:08:46,898:INFO:Uploading model into container now
  12011. 2022-01-24 17:08:46,898:INFO:create_model_container: 2
  12012. 2022-01-24 17:08:46,898:INFO:master_model_container: 2
  12013. 2022-01-24 17:08:46,898:INFO:display_container: 2
  12014. 2022-01-24 17:08:46,899:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12015. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12016. weights='uniform')
  12017. 2022-01-24 17:08:46,899:INFO:create_model() succesfully completed......................................
  12018. 2022-01-24 17:08:46,995:INFO:SubProcess create_model() end ==================================
  12019. 2022-01-24 17:08:46,996:INFO:Creating metrics dataframe
  12020. 2022-01-24 17:08:47,006:INFO:Initializing Naive Bayes
  12021. 2022-01-24 17:08:47,007:INFO:Total runtime is 0.43639185825983684 minutes
  12022. 2022-01-24 17:08:47,012:INFO:SubProcess create_model() called ==================================
  12023. 2022-01-24 17:08:47,013:INFO:Initializing create_model()
  12024. 2022-01-24 17:08:47,013:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12025. 2022-01-24 17:08:47,013:INFO:Checking exceptions
  12026. 2022-01-24 17:08:47,013:INFO:Importing libraries
  12027. 2022-01-24 17:08:47,013:INFO:Copying training dataset
  12028. 2022-01-24 17:08:47,016:INFO:Defining folds
  12029. 2022-01-24 17:08:47,016:INFO:Declaring metric variables
  12030. 2022-01-24 17:08:47,022:INFO:Importing untrained model
  12031. 2022-01-24 17:08:47,026:INFO:Naive Bayes Imported succesfully
  12032. 2022-01-24 17:08:47,038:INFO:Starting cross validation
  12033. 2022-01-24 17:08:47,038:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12034. 2022-01-24 17:08:47,286:INFO:Calculating mean and std
  12035. 2022-01-24 17:08:47,287:INFO:Creating metrics dataframe
  12036. 2022-01-24 17:08:47,290:INFO:Uploading results into container
  12037. 2022-01-24 17:08:47,290:INFO:Uploading model into container now
  12038. 2022-01-24 17:08:47,290:INFO:create_model_container: 3
  12039. 2022-01-24 17:08:47,290:INFO:master_model_container: 3
  12040. 2022-01-24 17:08:47,291:INFO:display_container: 2
  12041. 2022-01-24 17:08:47,291:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  12042. 2022-01-24 17:08:47,291:INFO:create_model() succesfully completed......................................
  12043. 2022-01-24 17:08:47,374:INFO:SubProcess create_model() end ==================================
  12044. 2022-01-24 17:08:47,374:INFO:Creating metrics dataframe
  12045. 2022-01-24 17:08:47,385:INFO:Initializing Decision Tree Classifier
  12046. 2022-01-24 17:08:47,385:INFO:Total runtime is 0.442702062924703 minutes
  12047. 2022-01-24 17:08:47,390:INFO:SubProcess create_model() called ==================================
  12048. 2022-01-24 17:08:47,391:INFO:Initializing create_model()
  12049. 2022-01-24 17:08:47,391:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12050. 2022-01-24 17:08:47,391:INFO:Checking exceptions
  12051. 2022-01-24 17:08:47,391:INFO:Importing libraries
  12052. 2022-01-24 17:08:47,391:INFO:Copying training dataset
  12053. 2022-01-24 17:08:47,393:INFO:Defining folds
  12054. 2022-01-24 17:08:47,393:INFO:Declaring metric variables
  12055. 2022-01-24 17:08:47,397:INFO:Importing untrained model
  12056. 2022-01-24 17:08:47,403:INFO:Decision Tree Classifier Imported succesfully
  12057. 2022-01-24 17:08:47,413:INFO:Starting cross validation
  12058. 2022-01-24 17:08:47,414:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12059. 2022-01-24 17:08:48,371:INFO:Calculating mean and std
  12060. 2022-01-24 17:08:48,372:INFO:Creating metrics dataframe
  12061. 2022-01-24 17:08:48,374:INFO:Uploading results into container
  12062. 2022-01-24 17:08:48,374:INFO:Uploading model into container now
  12063. 2022-01-24 17:08:48,375:INFO:create_model_container: 4
  12064. 2022-01-24 17:08:48,375:INFO:master_model_container: 4
  12065. 2022-01-24 17:08:48,375:INFO:display_container: 2
  12066. 2022-01-24 17:08:48,375:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12067. max_depth=None, max_features=None, max_leaf_nodes=None,
  12068. min_impurity_decrease=0.0, min_impurity_split=None,
  12069. min_samples_leaf=1, min_samples_split=2,
  12070. min_weight_fraction_leaf=0.0, presort='deprecated',
  12071. random_state=6174, splitter='best')
  12072. 2022-01-24 17:08:48,376:INFO:create_model() succesfully completed......................................
  12073. 2022-01-24 17:08:48,452:INFO:SubProcess create_model() end ==================================
  12074. 2022-01-24 17:08:48,452:INFO:Creating metrics dataframe
  12075. 2022-01-24 17:08:48,463:INFO:Initializing SVM - Linear Kernel
  12076. 2022-01-24 17:08:48,464:INFO:Total runtime is 0.46067760785420736 minutes
  12077. 2022-01-24 17:08:48,469:INFO:SubProcess create_model() called ==================================
  12078. 2022-01-24 17:08:48,469:INFO:Initializing create_model()
  12079. 2022-01-24 17:08:48,469:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12080. 2022-01-24 17:08:48,470:INFO:Checking exceptions
  12081. 2022-01-24 17:08:48,470:INFO:Importing libraries
  12082. 2022-01-24 17:08:48,470:INFO:Copying training dataset
  12083. 2022-01-24 17:08:48,471:INFO:Defining folds
  12084. 2022-01-24 17:08:48,471:INFO:Declaring metric variables
  12085. 2022-01-24 17:08:48,476:INFO:Importing untrained model
  12086. 2022-01-24 17:08:48,481:INFO:SVM - Linear Kernel Imported succesfully
  12087. 2022-01-24 17:08:48,491:INFO:Starting cross validation
  12088. 2022-01-24 17:08:48,491:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12089. 2022-01-24 17:08:49,731:INFO:Calculating mean and std
  12090. 2022-01-24 17:08:49,732:INFO:Creating metrics dataframe
  12091. 2022-01-24 17:08:49,736:INFO:Uploading results into container
  12092. 2022-01-24 17:08:49,737:INFO:Uploading model into container now
  12093. 2022-01-24 17:08:49,738:INFO:create_model_container: 5
  12094. 2022-01-24 17:08:49,738:INFO:master_model_container: 5
  12095. 2022-01-24 17:08:49,738:INFO:display_container: 2
  12096. 2022-01-24 17:08:49,739:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  12097. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  12098. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  12099. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  12100. power_t=0.5, random_state=6174, shuffle=True, tol=0.001,
  12101. validation_fraction=0.1, verbose=0, warm_start=False)
  12102. 2022-01-24 17:08:49,739:INFO:create_model() succesfully completed......................................
  12103. 2022-01-24 17:08:49,847:INFO:SubProcess create_model() end ==================================
  12104. 2022-01-24 17:08:49,847:INFO:Creating metrics dataframe
  12105. 2022-01-24 17:08:49,858:INFO:Initializing Ridge Classifier
  12106. 2022-01-24 17:08:49,858:INFO:Total runtime is 0.48392358620961506 minutes
  12107. 2022-01-24 17:08:49,864:INFO:SubProcess create_model() called ==================================
  12108. 2022-01-24 17:08:49,864:INFO:Initializing create_model()
  12109. 2022-01-24 17:08:49,865:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12110. 2022-01-24 17:08:49,865:INFO:Checking exceptions
  12111. 2022-01-24 17:08:49,865:INFO:Importing libraries
  12112. 2022-01-24 17:08:49,865:INFO:Copying training dataset
  12113. 2022-01-24 17:08:49,866:INFO:Defining folds
  12114. 2022-01-24 17:08:49,866:INFO:Declaring metric variables
  12115. 2022-01-24 17:08:49,871:INFO:Importing untrained model
  12116. 2022-01-24 17:08:49,877:INFO:Ridge Classifier Imported succesfully
  12117. 2022-01-24 17:08:49,887:INFO:Starting cross validation
  12118. 2022-01-24 17:08:49,887:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12119. 2022-01-24 17:08:50,464:INFO:Calculating mean and std
  12120. 2022-01-24 17:08:50,465:INFO:Creating metrics dataframe
  12121. 2022-01-24 17:08:50,475:INFO:Uploading results into container
  12122. 2022-01-24 17:08:50,475:INFO:Uploading model into container now
  12123. 2022-01-24 17:08:50,475:INFO:create_model_container: 6
  12124. 2022-01-24 17:08:50,475:INFO:master_model_container: 6
  12125. 2022-01-24 17:08:50,475:INFO:display_container: 2
  12126. 2022-01-24 17:08:50,476:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  12127. max_iter=None, normalize=False, random_state=6174,
  12128. solver='auto', tol=0.001)
  12129. 2022-01-24 17:08:50,476:INFO:create_model() succesfully completed......................................
  12130. 2022-01-24 17:08:50,576:INFO:SubProcess create_model() end ==================================
  12131. 2022-01-24 17:08:50,576:INFO:Creating metrics dataframe
  12132. 2022-01-24 17:08:50,588:INFO:Initializing Random Forest Classifier
  12133. 2022-01-24 17:08:50,588:INFO:Total runtime is 0.49608110984166465 minutes
  12134. 2022-01-24 17:08:50,593:INFO:SubProcess create_model() called ==================================
  12135. 2022-01-24 17:08:50,593:INFO:Initializing create_model()
  12136. 2022-01-24 17:08:50,593:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12137. 2022-01-24 17:08:50,594:INFO:Checking exceptions
  12138. 2022-01-24 17:08:50,594:INFO:Importing libraries
  12139. 2022-01-24 17:08:50,594:INFO:Copying training dataset
  12140. 2022-01-24 17:08:50,595:INFO:Defining folds
  12141. 2022-01-24 17:08:50,595:INFO:Declaring metric variables
  12142. 2022-01-24 17:08:50,600:INFO:Importing untrained model
  12143. 2022-01-24 17:08:50,605:INFO:Random Forest Classifier Imported succesfully
  12144. 2022-01-24 17:08:50,615:INFO:Starting cross validation
  12145. 2022-01-24 17:08:50,616:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12146. 2022-01-24 17:08:57,023:INFO:Calculating mean and std
  12147. 2022-01-24 17:08:57,024:INFO:Creating metrics dataframe
  12148. 2022-01-24 17:08:57,027:INFO:Uploading results into container
  12149. 2022-01-24 17:08:57,027:INFO:Uploading model into container now
  12150. 2022-01-24 17:08:57,027:INFO:create_model_container: 7
  12151. 2022-01-24 17:08:57,027:INFO:master_model_container: 7
  12152. 2022-01-24 17:08:57,027:INFO:display_container: 2
  12153. 2022-01-24 17:08:57,028:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12154. criterion='gini', max_depth=None, max_features='auto',
  12155. max_leaf_nodes=None, max_samples=None,
  12156. min_impurity_decrease=0.0, min_impurity_split=None,
  12157. min_samples_leaf=1, min_samples_split=2,
  12158. min_weight_fraction_leaf=0.0, n_estimators=100,
  12159. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12160. warm_start=False)
  12161. 2022-01-24 17:08:57,028:INFO:create_model() succesfully completed......................................
  12162. 2022-01-24 17:08:57,113:INFO:SubProcess create_model() end ==================================
  12163. 2022-01-24 17:08:57,113:INFO:Creating metrics dataframe
  12164. 2022-01-24 17:08:57,125:INFO:Initializing Quadratic Discriminant Analysis
  12165. 2022-01-24 17:08:57,125:INFO:Total runtime is 0.6050358931223552 minutes
  12166. 2022-01-24 17:08:57,131:INFO:SubProcess create_model() called ==================================
  12167. 2022-01-24 17:08:57,131:INFO:Initializing create_model()
  12168. 2022-01-24 17:08:57,131:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12169. 2022-01-24 17:08:57,131:INFO:Checking exceptions
  12170. 2022-01-24 17:08:57,131:INFO:Importing libraries
  12171. 2022-01-24 17:08:57,132:INFO:Copying training dataset
  12172. 2022-01-24 17:08:57,133:INFO:Defining folds
  12173. 2022-01-24 17:08:57,133:INFO:Declaring metric variables
  12174. 2022-01-24 17:08:57,137:INFO:Importing untrained model
  12175. 2022-01-24 17:08:57,142:INFO:Quadratic Discriminant Analysis Imported succesfully
  12176. 2022-01-24 17:08:57,153:INFO:Starting cross validation
  12177. 2022-01-24 17:08:57,153:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12178. 2022-01-24 17:08:58,319:INFO:Calculating mean and std
  12179. 2022-01-24 17:08:58,320:INFO:Creating metrics dataframe
  12180. 2022-01-24 17:08:58,324:INFO:Uploading results into container
  12181. 2022-01-24 17:08:58,328:INFO:Uploading model into container now
  12182. 2022-01-24 17:08:58,329:INFO:create_model_container: 8
  12183. 2022-01-24 17:08:58,330:INFO:master_model_container: 8
  12184. 2022-01-24 17:08:58,331:INFO:display_container: 2
  12185. 2022-01-24 17:08:58,331:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  12186. store_covariance=False, tol=0.0001)
  12187. 2022-01-24 17:08:58,331:INFO:create_model() succesfully completed......................................
  12188. 2022-01-24 17:08:58,427:INFO:SubProcess create_model() end ==================================
  12189. 2022-01-24 17:08:58,427:INFO:Creating metrics dataframe
  12190. 2022-01-24 17:08:58,439:INFO:Initializing Ada Boost Classifier
  12191. 2022-01-24 17:08:58,439:INFO:Total runtime is 0.6269395073254903 minutes
  12192. 2022-01-24 17:08:58,445:INFO:SubProcess create_model() called ==================================
  12193. 2022-01-24 17:08:58,445:INFO:Initializing create_model()
  12194. 2022-01-24 17:08:58,445:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12195. 2022-01-24 17:08:58,446:INFO:Checking exceptions
  12196. 2022-01-24 17:08:58,446:INFO:Importing libraries
  12197. 2022-01-24 17:08:58,446:INFO:Copying training dataset
  12198. 2022-01-24 17:08:58,447:INFO:Defining folds
  12199. 2022-01-24 17:08:58,447:INFO:Declaring metric variables
  12200. 2022-01-24 17:08:58,453:INFO:Importing untrained model
  12201. 2022-01-24 17:08:58,458:INFO:Ada Boost Classifier Imported succesfully
  12202. 2022-01-24 17:08:58,469:INFO:Starting cross validation
  12203. 2022-01-24 17:08:58,470:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12204. 2022-01-24 17:09:05,168:INFO:Calculating mean and std
  12205. 2022-01-24 17:09:05,169:INFO:Creating metrics dataframe
  12206. 2022-01-24 17:09:05,171:INFO:Uploading results into container
  12207. 2022-01-24 17:09:05,171:INFO:Uploading model into container now
  12208. 2022-01-24 17:09:05,171:INFO:create_model_container: 9
  12209. 2022-01-24 17:09:05,172:INFO:master_model_container: 9
  12210. 2022-01-24 17:09:05,172:INFO:display_container: 2
  12211. 2022-01-24 17:09:05,172:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  12212. n_estimators=50, random_state=6174)
  12213. 2022-01-24 17:09:05,172:INFO:create_model() succesfully completed......................................
  12214. 2022-01-24 17:09:05,261:INFO:SubProcess create_model() end ==================================
  12215. 2022-01-24 17:09:05,262:INFO:Creating metrics dataframe
  12216. 2022-01-24 17:09:05,274:INFO:Initializing Gradient Boosting Classifier
  12217. 2022-01-24 17:09:05,274:INFO:Total runtime is 0.7408567150433858 minutes
  12218. 2022-01-24 17:09:05,280:INFO:SubProcess create_model() called ==================================
  12219. 2022-01-24 17:09:05,280:INFO:Initializing create_model()
  12220. 2022-01-24 17:09:05,280:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12221. 2022-01-24 17:09:05,280:INFO:Checking exceptions
  12222. 2022-01-24 17:09:05,280:INFO:Importing libraries
  12223. 2022-01-24 17:09:05,281:INFO:Copying training dataset
  12224. 2022-01-24 17:09:05,282:INFO:Defining folds
  12225. 2022-01-24 17:09:05,282:INFO:Declaring metric variables
  12226. 2022-01-24 17:09:05,287:INFO:Importing untrained model
  12227. 2022-01-24 17:09:05,292:INFO:Gradient Boosting Classifier Imported succesfully
  12228. 2022-01-24 17:09:05,302:INFO:Starting cross validation
  12229. 2022-01-24 17:09:05,302:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12230. 2022-01-24 17:09:27,312:INFO:Calculating mean and std
  12231. 2022-01-24 17:09:27,313:INFO:Creating metrics dataframe
  12232. 2022-01-24 17:09:27,315:INFO:Uploading results into container
  12233. 2022-01-24 17:09:27,315:INFO:Uploading model into container now
  12234. 2022-01-24 17:09:27,316:INFO:create_model_container: 10
  12235. 2022-01-24 17:09:27,316:INFO:master_model_container: 10
  12236. 2022-01-24 17:09:27,316:INFO:display_container: 2
  12237. 2022-01-24 17:09:27,316:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12238. learning_rate=0.1, loss='deviance', max_depth=3,
  12239. max_features=None, max_leaf_nodes=None,
  12240. min_impurity_decrease=0.0, min_impurity_split=None,
  12241. min_samples_leaf=1, min_samples_split=2,
  12242. min_weight_fraction_leaf=0.0, n_estimators=100,
  12243. n_iter_no_change=None, presort='deprecated',
  12244. random_state=6174, subsample=1.0, tol=0.0001,
  12245. validation_fraction=0.1, verbose=0,
  12246. warm_start=False)
  12247. 2022-01-24 17:09:27,316:INFO:create_model() succesfully completed......................................
  12248. 2022-01-24 17:09:27,395:INFO:SubProcess create_model() end ==================================
  12249. 2022-01-24 17:09:27,396:INFO:Creating metrics dataframe
  12250. 2022-01-24 17:09:27,409:INFO:Initializing Linear Discriminant Analysis
  12251. 2022-01-24 17:09:27,409:INFO:Total runtime is 1.1097664793332418 minutes
  12252. 2022-01-24 17:09:27,415:INFO:SubProcess create_model() called ==================================
  12253. 2022-01-24 17:09:27,415:INFO:Initializing create_model()
  12254. 2022-01-24 17:09:27,415:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12255. 2022-01-24 17:09:27,415:INFO:Checking exceptions
  12256. 2022-01-24 17:09:27,415:INFO:Importing libraries
  12257. 2022-01-24 17:09:27,416:INFO:Copying training dataset
  12258. 2022-01-24 17:09:27,417:INFO:Defining folds
  12259. 2022-01-24 17:09:27,417:INFO:Declaring metric variables
  12260. 2022-01-24 17:09:27,422:INFO:Importing untrained model
  12261. 2022-01-24 17:09:27,427:INFO:Linear Discriminant Analysis Imported succesfully
  12262. 2022-01-24 17:09:27,437:INFO:Starting cross validation
  12263. 2022-01-24 17:09:27,437:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12264. 2022-01-24 17:09:29,313:INFO:Calculating mean and std
  12265. 2022-01-24 17:09:29,316:INFO:Creating metrics dataframe
  12266. 2022-01-24 17:09:29,320:INFO:Uploading results into container
  12267. 2022-01-24 17:09:29,324:INFO:Uploading model into container now
  12268. 2022-01-24 17:09:29,325:INFO:create_model_container: 11
  12269. 2022-01-24 17:09:29,325:INFO:master_model_container: 11
  12270. 2022-01-24 17:09:29,329:INFO:display_container: 2
  12271. 2022-01-24 17:09:29,329:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  12272. solver='svd', store_covariance=False, tol=0.0001)
  12273. 2022-01-24 17:09:29,330:INFO:create_model() succesfully completed......................................
  12274. 2022-01-24 17:09:29,428:INFO:SubProcess create_model() end ==================================
  12275. 2022-01-24 17:09:29,429:INFO:Creating metrics dataframe
  12276. 2022-01-24 17:09:29,441:INFO:Initializing Extra Trees Classifier
  12277. 2022-01-24 17:09:29,441:INFO:Total runtime is 1.1436361789703369 minutes
  12278. 2022-01-24 17:09:29,447:INFO:SubProcess create_model() called ==================================
  12279. 2022-01-24 17:09:29,447:INFO:Initializing create_model()
  12280. 2022-01-24 17:09:29,447:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12281. 2022-01-24 17:09:29,447:INFO:Checking exceptions
  12282. 2022-01-24 17:09:29,448:INFO:Importing libraries
  12283. 2022-01-24 17:09:29,448:INFO:Copying training dataset
  12284. 2022-01-24 17:09:29,449:INFO:Defining folds
  12285. 2022-01-24 17:09:29,449:INFO:Declaring metric variables
  12286. 2022-01-24 17:09:29,454:INFO:Importing untrained model
  12287. 2022-01-24 17:09:29,459:INFO:Extra Trees Classifier Imported succesfully
  12288. 2022-01-24 17:09:29,469:INFO:Starting cross validation
  12289. 2022-01-24 17:09:29,469:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12290. 2022-01-24 17:09:36,068:INFO:Calculating mean and std
  12291. 2022-01-24 17:09:36,069:INFO:Creating metrics dataframe
  12292. 2022-01-24 17:09:36,071:INFO:Uploading results into container
  12293. 2022-01-24 17:09:36,071:INFO:Uploading model into container now
  12294. 2022-01-24 17:09:36,071:INFO:create_model_container: 12
  12295. 2022-01-24 17:09:36,072:INFO:master_model_container: 12
  12296. 2022-01-24 17:09:36,072:INFO:display_container: 2
  12297. 2022-01-24 17:09:36,072:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  12298. criterion='gini', max_depth=None, max_features='auto',
  12299. max_leaf_nodes=None, max_samples=None,
  12300. min_impurity_decrease=0.0, min_impurity_split=None,
  12301. min_samples_leaf=1, min_samples_split=2,
  12302. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  12303. oob_score=False, random_state=6174, verbose=0,
  12304. warm_start=False)
  12305. 2022-01-24 17:09:36,072:INFO:create_model() succesfully completed......................................
  12306. 2022-01-24 17:09:36,158:INFO:SubProcess create_model() end ==================================
  12307. 2022-01-24 17:09:36,158:INFO:Creating metrics dataframe
  12308. 2022-01-24 17:09:36,171:INFO:Initializing Light Gradient Boosting Machine
  12309. 2022-01-24 17:09:36,171:INFO:Total runtime is 1.2558028976122537 minutes
  12310. 2022-01-24 17:09:36,176:INFO:SubProcess create_model() called ==================================
  12311. 2022-01-24 17:09:36,177:INFO:Initializing create_model()
  12312. 2022-01-24 17:09:36,177:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12313. 2022-01-24 17:09:36,177:INFO:Checking exceptions
  12314. 2022-01-24 17:09:36,177:INFO:Importing libraries
  12315. 2022-01-24 17:09:36,177:INFO:Copying training dataset
  12316. 2022-01-24 17:09:36,179:INFO:Defining folds
  12317. 2022-01-24 17:09:36,179:INFO:Declaring metric variables
  12318. 2022-01-24 17:09:36,184:INFO:Importing untrained model
  12319. 2022-01-24 17:09:36,188:INFO:Light Gradient Boosting Machine Imported succesfully
  12320. 2022-01-24 17:09:36,198:INFO:Starting cross validation
  12321. 2022-01-24 17:09:36,199:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12322. 2022-01-24 17:09:39,308:INFO:Calculating mean and std
  12323. 2022-01-24 17:09:39,309:INFO:Creating metrics dataframe
  12324. 2022-01-24 17:09:39,312:INFO:Uploading results into container
  12325. 2022-01-24 17:09:39,312:INFO:Uploading model into container now
  12326. 2022-01-24 17:09:39,312:INFO:create_model_container: 13
  12327. 2022-01-24 17:09:39,312:INFO:master_model_container: 13
  12328. 2022-01-24 17:09:39,312:INFO:display_container: 2
  12329. 2022-01-24 17:09:39,313:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  12330. importance_type='split', learning_rate=0.1, max_depth=-1,
  12331. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  12332. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  12333. random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  12334. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  12335. 2022-01-24 17:09:39,313:INFO:create_model() succesfully completed......................................
  12336. 2022-01-24 17:09:39,403:INFO:SubProcess create_model() end ==================================
  12337. 2022-01-24 17:09:39,404:INFO:Creating metrics dataframe
  12338. 2022-01-24 17:09:39,417:INFO:Initializing Dummy Classifier
  12339. 2022-01-24 17:09:39,417:INFO:Total runtime is 1.309907301266988 minutes
  12340. 2022-01-24 17:09:39,423:INFO:SubProcess create_model() called ==================================
  12341. 2022-01-24 17:09:39,423:INFO:Initializing create_model()
  12342. 2022-01-24 17:09:39,423:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12343. 2022-01-24 17:09:39,423:INFO:Checking exceptions
  12344. 2022-01-24 17:09:39,423:INFO:Importing libraries
  12345. 2022-01-24 17:09:39,424:INFO:Copying training dataset
  12346. 2022-01-24 17:09:39,425:INFO:Defining folds
  12347. 2022-01-24 17:09:39,425:INFO:Declaring metric variables
  12348. 2022-01-24 17:09:39,430:INFO:Importing untrained model
  12349. 2022-01-24 17:09:39,435:INFO:Dummy Classifier Imported succesfully
  12350. 2022-01-24 17:09:39,445:INFO:Starting cross validation
  12351. 2022-01-24 17:09:39,445:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12352. 2022-01-24 17:09:39,558:INFO:Calculating mean and std
  12353. 2022-01-24 17:09:39,559:INFO:Creating metrics dataframe
  12354. 2022-01-24 17:09:39,561:INFO:Uploading results into container
  12355. 2022-01-24 17:09:39,562:INFO:Uploading model into container now
  12356. 2022-01-24 17:09:39,562:INFO:create_model_container: 14
  12357. 2022-01-24 17:09:39,562:INFO:master_model_container: 14
  12358. 2022-01-24 17:09:39,562:INFO:display_container: 2
  12359. 2022-01-24 17:09:39,562:INFO:DummyClassifier(constant=None, random_state=6174, strategy='prior')
  12360. 2022-01-24 17:09:39,562:INFO:create_model() succesfully completed......................................
  12361. 2022-01-24 17:09:39,646:INFO:SubProcess create_model() end ==================================
  12362. 2022-01-24 17:09:39,646:INFO:Creating metrics dataframe
  12363. 2022-01-24 17:09:39,671:INFO:Initializing create_model()
  12364. 2022-01-24 17:09:39,672:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12365. criterion='gini', max_depth=None, max_features='auto',
  12366. max_leaf_nodes=None, max_samples=None,
  12367. min_impurity_decrease=0.0, min_impurity_split=None,
  12368. min_samples_leaf=1, min_samples_split=2,
  12369. min_weight_fraction_leaf=0.0, n_estimators=100,
  12370. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12371. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12372. 2022-01-24 17:09:39,672:INFO:Checking exceptions
  12373. 2022-01-24 17:09:39,672:INFO:Importing libraries
  12374. 2022-01-24 17:09:39,672:INFO:Copying training dataset
  12375. 2022-01-24 17:09:39,674:INFO:Defining folds
  12376. 2022-01-24 17:09:39,674:INFO:Declaring metric variables
  12377. 2022-01-24 17:09:39,674:INFO:Importing untrained model
  12378. 2022-01-24 17:09:39,674:INFO:Declaring custom model
  12379. 2022-01-24 17:09:39,675:INFO:Random Forest Classifier Imported succesfully
  12380. 2022-01-24 17:09:39,675:INFO:Cross validation set to False
  12381. 2022-01-24 17:09:39,675:INFO:Fitting Model
  12382. 2022-01-24 17:09:40,059:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12383. criterion='gini', max_depth=None, max_features='auto',
  12384. max_leaf_nodes=None, max_samples=None,
  12385. min_impurity_decrease=0.0, min_impurity_split=None,
  12386. min_samples_leaf=1, min_samples_split=2,
  12387. min_weight_fraction_leaf=0.0, n_estimators=100,
  12388. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12389. warm_start=False)
  12390. 2022-01-24 17:09:40,060:INFO:create_models() succesfully completed......................................
  12391. 2022-01-24 17:09:40,155:INFO:Initializing create_model()
  12392. 2022-01-24 17:09:40,155:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  12393. criterion='gini', max_depth=None, max_features='auto',
  12394. max_leaf_nodes=None, max_samples=None,
  12395. min_impurity_decrease=0.0, min_impurity_split=None,
  12396. min_samples_leaf=1, min_samples_split=2,
  12397. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  12398. oob_score=False, random_state=6174, verbose=0,
  12399. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12400. 2022-01-24 17:09:40,155:INFO:Checking exceptions
  12401. 2022-01-24 17:09:40,155:INFO:Importing libraries
  12402. 2022-01-24 17:09:40,156:INFO:Copying training dataset
  12403. 2022-01-24 17:09:40,157:INFO:Defining folds
  12404. 2022-01-24 17:09:40,157:INFO:Declaring metric variables
  12405. 2022-01-24 17:09:40,157:INFO:Importing untrained model
  12406. 2022-01-24 17:09:40,157:INFO:Declaring custom model
  12407. 2022-01-24 17:09:40,158:INFO:Extra Trees Classifier Imported succesfully
  12408. 2022-01-24 17:09:40,158:INFO:Cross validation set to False
  12409. 2022-01-24 17:09:40,158:INFO:Fitting Model
  12410. 2022-01-24 17:09:40,478:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  12411. criterion='gini', max_depth=None, max_features='auto',
  12412. max_leaf_nodes=None, max_samples=None,
  12413. min_impurity_decrease=0.0, min_impurity_split=None,
  12414. min_samples_leaf=1, min_samples_split=2,
  12415. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  12416. oob_score=False, random_state=6174, verbose=0,
  12417. warm_start=False)
  12418. 2022-01-24 17:09:40,478:INFO:create_models() succesfully completed......................................
  12419. 2022-01-24 17:09:40,583:INFO:Initializing create_model()
  12420. 2022-01-24 17:09:40,583:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12421. max_depth=None, max_features=None, max_leaf_nodes=None,
  12422. min_impurity_decrease=0.0, min_impurity_split=None,
  12423. min_samples_leaf=1, min_samples_split=2,
  12424. min_weight_fraction_leaf=0.0, presort='deprecated',
  12425. random_state=6174, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12426. 2022-01-24 17:09:40,583:INFO:Checking exceptions
  12427. 2022-01-24 17:09:40,584:INFO:Importing libraries
  12428. 2022-01-24 17:09:40,584:INFO:Copying training dataset
  12429. 2022-01-24 17:09:40,585:INFO:Defining folds
  12430. 2022-01-24 17:09:40,585:INFO:Declaring metric variables
  12431. 2022-01-24 17:09:40,585:INFO:Importing untrained model
  12432. 2022-01-24 17:09:40,585:INFO:Declaring custom model
  12433. 2022-01-24 17:09:40,586:INFO:Decision Tree Classifier Imported succesfully
  12434. 2022-01-24 17:09:40,586:INFO:Cross validation set to False
  12435. 2022-01-24 17:09:40,587:INFO:Fitting Model
  12436. 2022-01-24 17:09:40,683:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12437. max_depth=None, max_features=None, max_leaf_nodes=None,
  12438. min_impurity_decrease=0.0, min_impurity_split=None,
  12439. min_samples_leaf=1, min_samples_split=2,
  12440. min_weight_fraction_leaf=0.0, presort='deprecated',
  12441. random_state=6174, splitter='best')
  12442. 2022-01-24 17:09:40,684:INFO:create_models() succesfully completed......................................
  12443. 2022-01-24 17:09:40,769:INFO:Initializing create_model()
  12444. 2022-01-24 17:09:40,770:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12445. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12446. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12447. 2022-01-24 17:09:40,770:INFO:Checking exceptions
  12448. 2022-01-24 17:09:40,770:INFO:Importing libraries
  12449. 2022-01-24 17:09:40,770:INFO:Copying training dataset
  12450. 2022-01-24 17:09:40,771:INFO:Defining folds
  12451. 2022-01-24 17:09:40,771:INFO:Declaring metric variables
  12452. 2022-01-24 17:09:40,772:INFO:Importing untrained model
  12453. 2022-01-24 17:09:40,772:INFO:Declaring custom model
  12454. 2022-01-24 17:09:40,772:INFO:K Neighbors Classifier Imported succesfully
  12455. 2022-01-24 17:09:40,772:INFO:Cross validation set to False
  12456. 2022-01-24 17:09:40,773:INFO:Fitting Model
  12457. 2022-01-24 17:09:42,392:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12458. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12459. weights='uniform')
  12460. 2022-01-24 17:09:42,392:INFO:create_models() succesfully completed......................................
  12461. 2022-01-24 17:09:42,474:INFO:Initializing create_model()
  12462. 2022-01-24 17:09:42,474:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  12463. importance_type='split', learning_rate=0.1, max_depth=-1,
  12464. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  12465. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  12466. random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  12467. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12468. 2022-01-24 17:09:42,475:INFO:Checking exceptions
  12469. 2022-01-24 17:09:42,475:INFO:Importing libraries
  12470. 2022-01-24 17:09:42,475:INFO:Copying training dataset
  12471. 2022-01-24 17:09:42,476:INFO:Defining folds
  12472. 2022-01-24 17:09:42,476:INFO:Declaring metric variables
  12473. 2022-01-24 17:09:42,476:INFO:Importing untrained model
  12474. 2022-01-24 17:09:42,477:INFO:Declaring custom model
  12475. 2022-01-24 17:09:42,477:INFO:Light Gradient Boosting Machine Imported succesfully
  12476. 2022-01-24 17:09:42,477:INFO:Cross validation set to False
  12477. 2022-01-24 17:09:42,478:INFO:Fitting Model
  12478. 2022-01-24 17:09:42,693:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  12479. importance_type='split', learning_rate=0.1, max_depth=-1,
  12480. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  12481. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  12482. random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  12483. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  12484. 2022-01-24 17:09:42,693:INFO:create_models() succesfully completed......................................
  12485. 2022-01-24 17:09:42,779:INFO:Initializing create_model()
  12486. 2022-01-24 17:09:42,780:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12487. learning_rate=0.1, loss='deviance', max_depth=3,
  12488. max_features=None, max_leaf_nodes=None,
  12489. min_impurity_decrease=0.0, min_impurity_split=None,
  12490. min_samples_leaf=1, min_samples_split=2,
  12491. min_weight_fraction_leaf=0.0, n_estimators=100,
  12492. n_iter_no_change=None, presort='deprecated',
  12493. random_state=6174, subsample=1.0, tol=0.0001,
  12494. validation_fraction=0.1, verbose=0,
  12495. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12496. 2022-01-24 17:09:42,780:INFO:Checking exceptions
  12497. 2022-01-24 17:09:42,780:INFO:Importing libraries
  12498. 2022-01-24 17:09:42,780:INFO:Copying training dataset
  12499. 2022-01-24 17:09:42,781:INFO:Defining folds
  12500. 2022-01-24 17:09:42,781:INFO:Declaring metric variables
  12501. 2022-01-24 17:09:42,781:INFO:Importing untrained model
  12502. 2022-01-24 17:09:42,782:INFO:Declaring custom model
  12503. 2022-01-24 17:09:42,782:INFO:Gradient Boosting Classifier Imported succesfully
  12504. 2022-01-24 17:09:42,782:INFO:Cross validation set to False
  12505. 2022-01-24 17:09:42,783:INFO:Fitting Model
  12506. 2022-01-24 17:09:45,257:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12507. learning_rate=0.1, loss='deviance', max_depth=3,
  12508. max_features=None, max_leaf_nodes=None,
  12509. min_impurity_decrease=0.0, min_impurity_split=None,
  12510. min_samples_leaf=1, min_samples_split=2,
  12511. min_weight_fraction_leaf=0.0, n_estimators=100,
  12512. n_iter_no_change=None, presort='deprecated',
  12513. random_state=6174, subsample=1.0, tol=0.0001,
  12514. validation_fraction=0.1, verbose=0,
  12515. warm_start=False)
  12516. 2022-01-24 17:09:45,258:INFO:create_models() succesfully completed......................................
  12517. 2022-01-24 17:09:45,362:INFO:create_model_container: 14
  12518. 2022-01-24 17:09:45,362:INFO:master_model_container: 14
  12519. 2022-01-24 17:09:45,363:INFO:display_container: 2
  12520. 2022-01-24 17:09:45,364:INFO:[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12521. criterion='gini', max_depth=None, max_features='auto',
  12522. max_leaf_nodes=None, max_samples=None,
  12523. min_impurity_decrease=0.0, min_impurity_split=None,
  12524. min_samples_leaf=1, min_samples_split=2,
  12525. min_weight_fraction_leaf=0.0, n_estimators=100,
  12526. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12527. warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  12528. criterion='gini', max_depth=None, max_features='auto',
  12529. max_leaf_nodes=None, max_samples=None,
  12530. min_impurity_decrease=0.0, min_impurity_split=None,
  12531. min_samples_leaf=1, min_samples_split=2,
  12532. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  12533. oob_score=False, random_state=6174, verbose=0,
  12534. warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12535. max_depth=None, max_features=None, max_leaf_nodes=None,
  12536. min_impurity_decrease=0.0, min_impurity_split=None,
  12537. min_samples_leaf=1, min_samples_split=2,
  12538. min_weight_fraction_leaf=0.0, presort='deprecated',
  12539. random_state=6174, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12540. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12541. weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  12542. importance_type='split', learning_rate=0.1, max_depth=-1,
  12543. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  12544. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  12545. random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  12546. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12547. learning_rate=0.1, loss='deviance', max_depth=3,
  12548. max_features=None, max_leaf_nodes=None,
  12549. min_impurity_decrease=0.0, min_impurity_split=None,
  12550. min_samples_leaf=1, min_samples_split=2,
  12551. min_weight_fraction_leaf=0.0, n_estimators=100,
  12552. n_iter_no_change=None, presort='deprecated',
  12553. random_state=6174, subsample=1.0, tol=0.0001,
  12554. validation_fraction=0.1, verbose=0,
  12555. warm_start=False)]
  12556. 2022-01-24 17:09:45,364:INFO:compare_models() succesfully completed......................................
  12557. 2022-01-24 17:48:37,127:INFO:Initializing create_model()
  12558. 2022-01-24 17:48:37,127:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12559. 2022-01-24 17:48:37,127:INFO:Checking exceptions
  12560. 2022-01-24 17:48:37,128:INFO:Preparing display monitor
  12561. 2022-01-24 17:48:37,139:INFO:Importing libraries
  12562. 2022-01-24 17:48:37,139:INFO:Copying training dataset
  12563. 2022-01-24 17:48:37,142:INFO:Defining folds
  12564. 2022-01-24 17:48:37,143:INFO:Declaring metric variables
  12565. 2022-01-24 17:48:37,148:INFO:Importing untrained model
  12566. 2022-01-24 17:48:37,153:INFO:Random Forest Classifier Imported succesfully
  12567. 2022-01-24 17:48:37,163:INFO:Starting cross validation
  12568. 2022-01-24 17:48:37,163:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12569. 2022-01-24 17:48:44,746:INFO:Calculating mean and std
  12570. 2022-01-24 17:48:44,747:INFO:Creating metrics dataframe
  12571. 2022-01-24 17:48:44,754:INFO:Finalizing model
  12572. 2022-01-24 17:48:45,135:INFO:Uploading results into container
  12573. 2022-01-24 17:48:45,136:INFO:Uploading model into container now
  12574. 2022-01-24 17:48:45,147:INFO:create_model_container: 15
  12575. 2022-01-24 17:48:45,147:INFO:master_model_container: 15
  12576. 2022-01-24 17:48:45,147:INFO:display_container: 3
  12577. 2022-01-24 17:48:45,148:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12578. criterion='gini', max_depth=None, max_features='auto',
  12579. max_leaf_nodes=None, max_samples=None,
  12580. min_impurity_decrease=0.0, min_impurity_split=None,
  12581. min_samples_leaf=1, min_samples_split=2,
  12582. min_weight_fraction_leaf=0.0, n_estimators=100,
  12583. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12584. warm_start=False)
  12585. 2022-01-24 17:48:45,148:INFO:create_model() succesfully completed......................................
  12586. 2022-01-26 09:07:16,053:INFO:PyCaret Supervised Module
  12587. 2022-01-26 09:07:16,054:INFO:ML Usecase: classification
  12588. 2022-01-26 09:07:16,054:INFO:version 2.3.6
  12589. 2022-01-26 09:07:16,054:INFO:Initializing setup()
  12590. 2022-01-26 09:07:16,054:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  12591. 2022-01-26 09:07:16,054:INFO:Checking environment
  12592. 2022-01-26 09:07:16,055:INFO:python_version: 3.8.8
  12593. 2022-01-26 09:07:16,055:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  12594. 2022-01-26 09:07:16,055:INFO:machine: x86_64
  12595. 2022-01-26 09:07:16,055:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  12596. 2022-01-26 09:07:16,055:INFO:Memory: svmem(total=33619935232, available=28006727680, percent=16.7, used=4758519808, free=25001771008, active=1614712832, inactive=6329372672, buffers=996823040, cached=2862821376, shared=383610880, slab=326078464)
  12597. 2022-01-26 09:07:16,056:INFO:Physical Core: 16
  12598. 2022-01-26 09:07:16,056:INFO:Logical Core: 32
  12599. 2022-01-26 09:07:16,056:INFO:Checking libraries
  12600. 2022-01-26 09:07:16,057:INFO:pd==1.2.4
  12601. 2022-01-26 09:07:16,057:INFO:numpy==1.19.5
  12602. 2022-01-26 09:07:16,057:INFO:sklearn==0.23.2
  12603. 2022-01-26 09:07:16,057:INFO:lightgbm==3.3.2
  12604. 2022-01-26 09:07:16,059:WARNING:catboost not found
  12605. 2022-01-26 09:07:16,059:WARNING:xgboost not found
  12606. 2022-01-26 09:07:16,186:INFO:mlflow==1.22.0
  12607. 2022-01-26 09:07:16,187:INFO:Checking Exceptions
  12608. 2022-01-26 09:07:16,187:INFO:Declaring global variables
  12609. 2022-01-26 09:07:16,187:INFO:USI: f395
  12610. 2022-01-26 09:07:16,187:INFO:pycaret_globals: {'create_model_container', 'fold_generator', 'n_jobs_param', 'y_test', '_ml_usecase', 'imputation_classifier', 'log_plots_param', 'transform_target_method_param', '_internal_pipeline', 'fix_imbalance_method_param', '_all_models_internal', 'stratify_param', 'seed', 'experiment__', 'master_model_container', 'X_test', '_all_metrics', 'html_param', 'logging_param', 'y', 'gpu_param', 'prep_pipe', 'fold_param', 'data_before_preprocess', 'target_param', '_all_models', 'transform_target_param', 'display_container', 'fold_groups_param', 'USI', 'pycaret_globals', 'fold_groups_param_full', '_available_plots', 'y_train', 'iterative_imputation_iters_param', 'imputation_regressor', 'fold_shuffle_param', 'X', 'fix_imbalance_param', 'X_train', '_gpu_n_jobs_param', 'exp_name_log'}
  12611. 2022-01-26 09:07:16,188:INFO:Preparing display monitor
  12612. 2022-01-26 09:07:16,188:INFO:Preparing display monitor
  12613. 2022-01-26 09:07:16,198:INFO:Importing libraries
  12614. 2022-01-26 09:07:16,198:INFO:Copying data for preprocessing
  12615. 2022-01-26 09:07:16,205:INFO:Declaring preprocessing parameters
  12616. 2022-01-26 09:07:16,206:WARNING:cuML not found
  12617. 2022-01-26 09:07:16,206:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  12618. 2022-01-26 09:07:16,210:INFO:Creating preprocessing pipeline
  12619. 2022-01-26 09:07:16,264:INFO:Preprocessing pipeline created successfully
  12620. 2022-01-26 09:07:16,264:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  12621. 2022-01-26 09:07:16,265:INFO:Creating global containers
  12622. 2022-01-26 09:07:16,265:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  12623. 2022-01-26 09:07:19,269:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  12624. 2022-01-26 09:07:19,296:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  12625. 2022-01-26 09:07:19,297:WARNING:Couldn't import cuml.MBSGDClassifier
  12626. 2022-01-26 09:07:19,298:WARNING:Couldn't import cuml.svm.SVC
  12627. 2022-01-26 09:07:19,313:WARNING:Couldn't import cuml.linear_model
  12628. 2022-01-26 09:07:19,316:WARNING:Couldn't import cuml.ensemble
  12629. 2022-01-26 09:07:19,319:WARNING:Couldn't import xgboost.XGBClassifier
  12630. 2022-01-26 09:07:19,324:WARNING:Couldn't import catboost.CatBoostClassifier
  12631. 2022-01-26 09:07:19,325:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  12632. 2022-01-26 09:07:19,354:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  12633. 2022-01-26 09:07:19,355:WARNING:Couldn't import cuml.MBSGDClassifier
  12634. 2022-01-26 09:07:19,356:WARNING:Couldn't import cuml.svm.SVC
  12635. 2022-01-26 09:07:19,369:WARNING:Couldn't import cuml.linear_model
  12636. 2022-01-26 09:07:19,372:WARNING:Couldn't import cuml.ensemble
  12637. 2022-01-26 09:07:19,374:WARNING:Couldn't import xgboost.XGBClassifier
  12638. 2022-01-26 09:07:19,377:WARNING:Couldn't import catboost.CatBoostClassifier
  12639. 2022-01-26 09:07:19,378:INFO:Creating grid variables
  12640. 2022-01-26 09:07:19,391:INFO:create_model_container: 0
  12641. 2022-01-26 09:07:19,391:INFO:master_model_container: 0
  12642. 2022-01-26 09:07:19,391:INFO:display_container: 1
  12643. 2022-01-26 09:07:19,394:INFO:Pipeline(memory=None,
  12644. steps=[('dtypes',
  12645. DataTypes_Auto_infer(categorical_features=[],
  12646. display_types=True, features_todrop=[],
  12647. id_columns=['Unnamed: 0'],
  12648. ml_usecase='classification',
  12649. numerical_features=[], target='label',
  12650. time_features=[])),
  12651. ('imputer',
  12652. Simple_Imputer(categorical_strategy='not_available',
  12653. fill_value_categorical=None,
  12654. fill_value_numerical=None,
  12655. num...
  12656. target='label')),
  12657. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  12658. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  12659. ('dummy', Dummify(target='label')),
  12660. ('fix_perfect', Remove_100(target='label')),
  12661. ('clean_names', Clean_Colum_Names()),
  12662. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  12663. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  12664. verbose=False)
  12665. 2022-01-26 09:07:19,395:INFO:setup() succesfully completed......................................
  12666. 2022-01-26 09:07:29,383:INFO:Initializing compare_models()
  12667. 2022-01-26 09:07:29,383:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  12668. 2022-01-26 09:07:29,383:INFO:Checking exceptions
  12669. 2022-01-26 09:07:29,384:INFO:Preparing display monitor
  12670. 2022-01-26 09:07:29,384:INFO:Preparing display monitor
  12671. 2022-01-26 09:07:29,402:INFO:Initializing Logistic Regression
  12672. 2022-01-26 09:07:29,402:INFO:Total runtime is 5.821386973063151e-06 minutes
  12673. 2022-01-26 09:07:29,408:INFO:SubProcess create_model() called ==================================
  12674. 2022-01-26 09:07:29,408:INFO:Initializing create_model()
  12675. 2022-01-26 09:07:29,408:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12676. 2022-01-26 09:07:29,409:INFO:Checking exceptions
  12677. 2022-01-26 09:07:29,409:INFO:Importing libraries
  12678. 2022-01-26 09:07:29,409:INFO:Copying training dataset
  12679. 2022-01-26 09:07:29,410:INFO:Defining folds
  12680. 2022-01-26 09:07:29,411:INFO:Declaring metric variables
  12681. 2022-01-26 09:07:29,416:INFO:Importing untrained model
  12682. 2022-01-26 09:07:29,421:INFO:Logistic Regression Imported succesfully
  12683. 2022-01-26 09:07:29,432:INFO:Starting cross validation
  12684. 2022-01-26 09:07:29,433:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12685. 2022-01-26 09:07:35,669:INFO:Calculating mean and std
  12686. 2022-01-26 09:07:35,670:INFO:Creating metrics dataframe
  12687. 2022-01-26 09:07:35,676:INFO:Uploading results into container
  12688. 2022-01-26 09:07:35,679:INFO:Uploading model into container now
  12689. 2022-01-26 09:07:35,679:INFO:create_model_container: 1
  12690. 2022-01-26 09:07:35,682:INFO:master_model_container: 1
  12691. 2022-01-26 09:07:35,683:INFO:display_container: 2
  12692. 2022-01-26 09:07:35,684:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  12693. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  12694. multi_class='auto', n_jobs=None, penalty='l2',
  12695. random_state=4718, solver='lbfgs', tol=0.0001, verbose=0,
  12696. warm_start=False)
  12697. 2022-01-26 09:07:35,684:INFO:create_model() succesfully completed......................................
  12698. 2022-01-26 09:07:35,766:INFO:SubProcess create_model() end ==================================
  12699. 2022-01-26 09:07:35,766:INFO:Creating metrics dataframe
  12700. 2022-01-26 09:07:35,775:INFO:Initializing K Neighbors Classifier
  12701. 2022-01-26 09:07:35,775:INFO:Total runtime is 0.1062253475189209 minutes
  12702. 2022-01-26 09:07:35,781:INFO:SubProcess create_model() called ==================================
  12703. 2022-01-26 09:07:35,781:INFO:Initializing create_model()
  12704. 2022-01-26 09:07:35,781:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12705. 2022-01-26 09:07:35,781:INFO:Checking exceptions
  12706. 2022-01-26 09:07:35,782:INFO:Importing libraries
  12707. 2022-01-26 09:07:35,782:INFO:Copying training dataset
  12708. 2022-01-26 09:07:35,783:INFO:Defining folds
  12709. 2022-01-26 09:07:35,783:INFO:Declaring metric variables
  12710. 2022-01-26 09:07:35,788:INFO:Importing untrained model
  12711. 2022-01-26 09:07:35,793:INFO:K Neighbors Classifier Imported succesfully
  12712. 2022-01-26 09:07:35,804:INFO:Starting cross validation
  12713. 2022-01-26 09:07:35,805:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12714. 2022-01-26 09:07:49,942:INFO:Calculating mean and std
  12715. 2022-01-26 09:07:49,943:INFO:Creating metrics dataframe
  12716. 2022-01-26 09:07:49,946:INFO:Uploading results into container
  12717. 2022-01-26 09:07:49,946:INFO:Uploading model into container now
  12718. 2022-01-26 09:07:49,946:INFO:create_model_container: 2
  12719. 2022-01-26 09:07:49,946:INFO:master_model_container: 2
  12720. 2022-01-26 09:07:49,947:INFO:display_container: 2
  12721. 2022-01-26 09:07:49,947:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12722. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12723. weights='uniform')
  12724. 2022-01-26 09:07:49,947:INFO:create_model() succesfully completed......................................
  12725. 2022-01-26 09:07:50,023:INFO:SubProcess create_model() end ==================================
  12726. 2022-01-26 09:07:50,024:INFO:Creating metrics dataframe
  12727. 2022-01-26 09:07:50,034:INFO:Initializing Naive Bayes
  12728. 2022-01-26 09:07:50,034:INFO:Total runtime is 0.34387213389078775 minutes
  12729. 2022-01-26 09:07:50,040:INFO:SubProcess create_model() called ==================================
  12730. 2022-01-26 09:07:50,040:INFO:Initializing create_model()
  12731. 2022-01-26 09:07:50,040:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12732. 2022-01-26 09:07:50,040:INFO:Checking exceptions
  12733. 2022-01-26 09:07:50,040:INFO:Importing libraries
  12734. 2022-01-26 09:07:50,040:INFO:Copying training dataset
  12735. 2022-01-26 09:07:50,043:INFO:Defining folds
  12736. 2022-01-26 09:07:50,044:INFO:Declaring metric variables
  12737. 2022-01-26 09:07:50,049:INFO:Importing untrained model
  12738. 2022-01-26 09:07:50,054:INFO:Naive Bayes Imported succesfully
  12739. 2022-01-26 09:07:50,064:INFO:Starting cross validation
  12740. 2022-01-26 09:07:50,065:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12741. 2022-01-26 09:07:50,298:INFO:Calculating mean and std
  12742. 2022-01-26 09:07:50,299:INFO:Creating metrics dataframe
  12743. 2022-01-26 09:07:50,302:INFO:Uploading results into container
  12744. 2022-01-26 09:07:50,302:INFO:Uploading model into container now
  12745. 2022-01-26 09:07:50,302:INFO:create_model_container: 3
  12746. 2022-01-26 09:07:50,302:INFO:master_model_container: 3
  12747. 2022-01-26 09:07:50,303:INFO:display_container: 2
  12748. 2022-01-26 09:07:50,303:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  12749. 2022-01-26 09:07:50,303:INFO:create_model() succesfully completed......................................
  12750. 2022-01-26 09:07:50,367:INFO:SubProcess create_model() end ==================================
  12751. 2022-01-26 09:07:50,368:INFO:Creating metrics dataframe
  12752. 2022-01-26 09:07:50,379:INFO:Initializing Decision Tree Classifier
  12753. 2022-01-26 09:07:50,379:INFO:Total runtime is 0.3496158758799235 minutes
  12754. 2022-01-26 09:07:50,385:INFO:SubProcess create_model() called ==================================
  12755. 2022-01-26 09:07:50,385:INFO:Initializing create_model()
  12756. 2022-01-26 09:07:50,385:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12757. 2022-01-26 09:07:50,385:INFO:Checking exceptions
  12758. 2022-01-26 09:07:50,385:INFO:Importing libraries
  12759. 2022-01-26 09:07:50,386:INFO:Copying training dataset
  12760. 2022-01-26 09:07:50,387:INFO:Defining folds
  12761. 2022-01-26 09:07:50,387:INFO:Declaring metric variables
  12762. 2022-01-26 09:07:50,392:INFO:Importing untrained model
  12763. 2022-01-26 09:07:50,397:INFO:Decision Tree Classifier Imported succesfully
  12764. 2022-01-26 09:07:50,407:INFO:Starting cross validation
  12765. 2022-01-26 09:07:50,408:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12766. 2022-01-26 09:07:51,665:INFO:Calculating mean and std
  12767. 2022-01-26 09:07:51,666:INFO:Creating metrics dataframe
  12768. 2022-01-26 09:07:51,669:INFO:Uploading results into container
  12769. 2022-01-26 09:07:51,669:INFO:Uploading model into container now
  12770. 2022-01-26 09:07:51,669:INFO:create_model_container: 4
  12771. 2022-01-26 09:07:51,669:INFO:master_model_container: 4
  12772. 2022-01-26 09:07:51,669:INFO:display_container: 2
  12773. 2022-01-26 09:07:51,670:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12774. max_depth=None, max_features=None, max_leaf_nodes=None,
  12775. min_impurity_decrease=0.0, min_impurity_split=None,
  12776. min_samples_leaf=1, min_samples_split=2,
  12777. min_weight_fraction_leaf=0.0, presort='deprecated',
  12778. random_state=4718, splitter='best')
  12779. 2022-01-26 09:07:51,670:INFO:create_model() succesfully completed......................................
  12780. 2022-01-26 09:07:51,744:INFO:SubProcess create_model() end ==================================
  12781. 2022-01-26 09:07:51,744:INFO:Creating metrics dataframe
  12782. 2022-01-26 09:07:51,755:INFO:Initializing SVM - Linear Kernel
  12783. 2022-01-26 09:07:51,755:INFO:Total runtime is 0.3725543657938639 minutes
  12784. 2022-01-26 09:07:51,760:INFO:SubProcess create_model() called ==================================
  12785. 2022-01-26 09:07:51,761:INFO:Initializing create_model()
  12786. 2022-01-26 09:07:51,761:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12787. 2022-01-26 09:07:51,761:INFO:Checking exceptions
  12788. 2022-01-26 09:07:51,761:INFO:Importing libraries
  12789. 2022-01-26 09:07:51,762:INFO:Copying training dataset
  12790. 2022-01-26 09:07:51,763:INFO:Defining folds
  12791. 2022-01-26 09:07:51,763:INFO:Declaring metric variables
  12792. 2022-01-26 09:07:51,768:INFO:Importing untrained model
  12793. 2022-01-26 09:07:51,773:INFO:SVM - Linear Kernel Imported succesfully
  12794. 2022-01-26 09:07:51,783:INFO:Starting cross validation
  12795. 2022-01-26 09:07:51,784:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12796. 2022-01-26 09:07:52,996:INFO:Calculating mean and std
  12797. 2022-01-26 09:07:52,998:INFO:Creating metrics dataframe
  12798. 2022-01-26 09:07:53,006:INFO:Uploading results into container
  12799. 2022-01-26 09:07:53,006:INFO:Uploading model into container now
  12800. 2022-01-26 09:07:53,007:INFO:create_model_container: 5
  12801. 2022-01-26 09:07:53,007:INFO:master_model_container: 5
  12802. 2022-01-26 09:07:53,007:INFO:display_container: 2
  12803. 2022-01-26 09:07:53,008:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  12804. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  12805. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  12806. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  12807. power_t=0.5, random_state=4718, shuffle=True, tol=0.001,
  12808. validation_fraction=0.1, verbose=0, warm_start=False)
  12809. 2022-01-26 09:07:53,008:INFO:create_model() succesfully completed......................................
  12810. 2022-01-26 09:07:53,091:INFO:SubProcess create_model() end ==================================
  12811. 2022-01-26 09:07:53,091:INFO:Creating metrics dataframe
  12812. 2022-01-26 09:07:53,102:INFO:Initializing Ridge Classifier
  12813. 2022-01-26 09:07:53,103:INFO:Total runtime is 0.3950118064880371 minutes
  12814. 2022-01-26 09:07:53,108:INFO:SubProcess create_model() called ==================================
  12815. 2022-01-26 09:07:53,108:INFO:Initializing create_model()
  12816. 2022-01-26 09:07:53,108:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12817. 2022-01-26 09:07:53,108:INFO:Checking exceptions
  12818. 2022-01-26 09:07:53,109:INFO:Importing libraries
  12819. 2022-01-26 09:07:53,109:INFO:Copying training dataset
  12820. 2022-01-26 09:07:53,110:INFO:Defining folds
  12821. 2022-01-26 09:07:53,110:INFO:Declaring metric variables
  12822. 2022-01-26 09:07:53,115:INFO:Importing untrained model
  12823. 2022-01-26 09:07:53,120:INFO:Ridge Classifier Imported succesfully
  12824. 2022-01-26 09:07:53,130:INFO:Starting cross validation
  12825. 2022-01-26 09:07:53,131:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12826. 2022-01-26 09:07:53,845:INFO:Calculating mean and std
  12827. 2022-01-26 09:07:53,849:INFO:Creating metrics dataframe
  12828. 2022-01-26 09:07:53,856:INFO:Uploading results into container
  12829. 2022-01-26 09:07:53,857:INFO:Uploading model into container now
  12830. 2022-01-26 09:07:53,857:INFO:create_model_container: 6
  12831. 2022-01-26 09:07:53,857:INFO:master_model_container: 6
  12832. 2022-01-26 09:07:53,857:INFO:display_container: 2
  12833. 2022-01-26 09:07:53,858:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  12834. max_iter=None, normalize=False, random_state=4718,
  12835. solver='auto', tol=0.001)
  12836. 2022-01-26 09:07:53,858:INFO:create_model() succesfully completed......................................
  12837. 2022-01-26 09:07:53,945:INFO:SubProcess create_model() end ==================================
  12838. 2022-01-26 09:07:53,945:INFO:Creating metrics dataframe
  12839. 2022-01-26 09:07:53,957:INFO:Initializing Random Forest Classifier
  12840. 2022-01-26 09:07:53,957:INFO:Total runtime is 0.409252389272054 minutes
  12841. 2022-01-26 09:07:53,963:INFO:SubProcess create_model() called ==================================
  12842. 2022-01-26 09:07:53,963:INFO:Initializing create_model()
  12843. 2022-01-26 09:07:53,964:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12844. 2022-01-26 09:07:53,964:INFO:Checking exceptions
  12845. 2022-01-26 09:07:53,964:INFO:Importing libraries
  12846. 2022-01-26 09:07:53,964:INFO:Copying training dataset
  12847. 2022-01-26 09:07:53,966:INFO:Defining folds
  12848. 2022-01-26 09:07:53,966:INFO:Declaring metric variables
  12849. 2022-01-26 09:07:53,971:INFO:Importing untrained model
  12850. 2022-01-26 09:07:53,976:INFO:Random Forest Classifier Imported succesfully
  12851. 2022-01-26 09:07:53,986:INFO:Starting cross validation
  12852. 2022-01-26 09:07:53,986:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12853. 2022-01-26 09:08:00,672:INFO:Calculating mean and std
  12854. 2022-01-26 09:08:00,673:INFO:Creating metrics dataframe
  12855. 2022-01-26 09:08:00,676:INFO:Uploading results into container
  12856. 2022-01-26 09:08:00,677:INFO:Uploading model into container now
  12857. 2022-01-26 09:08:00,677:INFO:create_model_container: 7
  12858. 2022-01-26 09:08:00,677:INFO:master_model_container: 7
  12859. 2022-01-26 09:08:00,677:INFO:display_container: 2
  12860. 2022-01-26 09:08:00,678:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12861. criterion='gini', max_depth=None, max_features='auto',
  12862. max_leaf_nodes=None, max_samples=None,
  12863. min_impurity_decrease=0.0, min_impurity_split=None,
  12864. min_samples_leaf=1, min_samples_split=2,
  12865. min_weight_fraction_leaf=0.0, n_estimators=100,
  12866. n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
  12867. warm_start=False)
  12868. 2022-01-26 09:08:00,678:INFO:create_model() succesfully completed......................................
  12869. 2022-01-26 09:08:00,749:INFO:SubProcess create_model() end ==================================
  12870. 2022-01-26 09:08:00,749:INFO:Creating metrics dataframe
  12871. 2022-01-26 09:08:00,762:INFO:Initializing Quadratic Discriminant Analysis
  12872. 2022-01-26 09:08:00,762:INFO:Total runtime is 0.5226710319519042 minutes
  12873. 2022-01-26 09:08:00,768:INFO:SubProcess create_model() called ==================================
  12874. 2022-01-26 09:08:00,768:INFO:Initializing create_model()
  12875. 2022-01-26 09:08:00,768:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12876. 2022-01-26 09:08:00,768:INFO:Checking exceptions
  12877. 2022-01-26 09:08:00,769:INFO:Importing libraries
  12878. 2022-01-26 09:08:00,769:INFO:Copying training dataset
  12879. 2022-01-26 09:08:00,770:INFO:Defining folds
  12880. 2022-01-26 09:08:00,770:INFO:Declaring metric variables
  12881. 2022-01-26 09:08:00,775:INFO:Importing untrained model
  12882. 2022-01-26 09:08:00,780:INFO:Quadratic Discriminant Analysis Imported succesfully
  12883. 2022-01-26 09:08:00,791:INFO:Starting cross validation
  12884. 2022-01-26 09:08:00,791:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12885. 2022-01-26 09:08:01,619:INFO:Calculating mean and std
  12886. 2022-01-26 09:08:01,620:INFO:Creating metrics dataframe
  12887. 2022-01-26 09:08:01,625:INFO:Uploading results into container
  12888. 2022-01-26 09:08:01,626:INFO:Uploading model into container now
  12889. 2022-01-26 09:08:01,626:INFO:create_model_container: 8
  12890. 2022-01-26 09:08:01,627:INFO:master_model_container: 8
  12891. 2022-01-26 09:08:01,627:INFO:display_container: 2
  12892. 2022-01-26 09:08:01,627:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  12893. store_covariance=False, tol=0.0001)
  12894. 2022-01-26 09:08:01,628:INFO:create_model() succesfully completed......................................
  12895. 2022-01-26 09:08:01,710:INFO:SubProcess create_model() end ==================================
  12896. 2022-01-26 09:08:01,710:INFO:Creating metrics dataframe
  12897. 2022-01-26 09:08:01,722:INFO:Initializing Ada Boost Classifier
  12898. 2022-01-26 09:08:01,723:INFO:Total runtime is 0.5386785705884297 minutes
  12899. 2022-01-26 09:08:01,728:INFO:SubProcess create_model() called ==================================
  12900. 2022-01-26 09:08:01,729:INFO:Initializing create_model()
  12901. 2022-01-26 09:08:01,729:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12902. 2022-01-26 09:08:01,729:INFO:Checking exceptions
  12903. 2022-01-26 09:08:01,729:INFO:Importing libraries
  12904. 2022-01-26 09:08:01,730:INFO:Copying training dataset
  12905. 2022-01-26 09:08:01,731:INFO:Defining folds
  12906. 2022-01-26 09:08:01,731:INFO:Declaring metric variables
  12907. 2022-01-26 09:08:01,736:INFO:Importing untrained model
  12908. 2022-01-26 09:08:01,741:INFO:Ada Boost Classifier Imported succesfully
  12909. 2022-01-26 09:08:01,751:INFO:Starting cross validation
  12910. 2022-01-26 09:08:01,752:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12911. 2022-01-26 09:08:09,099:INFO:Calculating mean and std
  12912. 2022-01-26 09:08:09,100:INFO:Creating metrics dataframe
  12913. 2022-01-26 09:08:09,102:INFO:Uploading results into container
  12914. 2022-01-26 09:08:09,102:INFO:Uploading model into container now
  12915. 2022-01-26 09:08:09,103:INFO:create_model_container: 9
  12916. 2022-01-26 09:08:09,103:INFO:master_model_container: 9
  12917. 2022-01-26 09:08:09,103:INFO:display_container: 2
  12918. 2022-01-26 09:08:09,103:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  12919. n_estimators=50, random_state=4718)
  12920. 2022-01-26 09:08:09,103:INFO:create_model() succesfully completed......................................
  12921. 2022-01-26 09:08:09,172:INFO:SubProcess create_model() end ==================================
  12922. 2022-01-26 09:08:09,173:INFO:Creating metrics dataframe
  12923. 2022-01-26 09:08:09,185:INFO:Initializing Gradient Boosting Classifier
  12924. 2022-01-26 09:08:09,186:INFO:Total runtime is 0.6630625208218892 minutes
  12925. 2022-01-26 09:08:09,191:INFO:SubProcess create_model() called ==================================
  12926. 2022-01-26 09:08:09,192:INFO:Initializing create_model()
  12927. 2022-01-26 09:08:09,192:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12928. 2022-01-26 09:08:09,192:INFO:Checking exceptions
  12929. 2022-01-26 09:08:09,192:INFO:Importing libraries
  12930. 2022-01-26 09:08:09,193:INFO:Copying training dataset
  12931. 2022-01-26 09:08:09,195:INFO:Defining folds
  12932. 2022-01-26 09:08:09,195:INFO:Declaring metric variables
  12933. 2022-01-26 09:08:09,200:INFO:Importing untrained model
  12934. 2022-01-26 09:08:09,205:INFO:Gradient Boosting Classifier Imported succesfully
  12935. 2022-01-26 09:08:09,216:INFO:Starting cross validation
  12936. 2022-01-26 09:08:09,216:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12937. 2022-01-26 09:08:35,087:INFO:Calculating mean and std
  12938. 2022-01-26 09:08:35,088:INFO:Creating metrics dataframe
  12939. 2022-01-26 09:08:35,091:INFO:Uploading results into container
  12940. 2022-01-26 09:08:35,091:INFO:Uploading model into container now
  12941. 2022-01-26 09:08:35,091:INFO:create_model_container: 10
  12942. 2022-01-26 09:08:35,091:INFO:master_model_container: 10
  12943. 2022-01-26 09:08:35,091:INFO:display_container: 2
  12944. 2022-01-26 09:08:35,092:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12945. learning_rate=0.1, loss='deviance', max_depth=3,
  12946. max_features=None, max_leaf_nodes=None,
  12947. min_impurity_decrease=0.0, min_impurity_split=None,
  12948. min_samples_leaf=1, min_samples_split=2,
  12949. min_weight_fraction_leaf=0.0, n_estimators=100,
  12950. n_iter_no_change=None, presort='deprecated',
  12951. random_state=4718, subsample=1.0, tol=0.0001,
  12952. validation_fraction=0.1, verbose=0,
  12953. warm_start=False)
  12954. 2022-01-26 09:08:35,092:INFO:create_model() succesfully completed......................................
  12955. 2022-01-26 09:08:35,157:INFO:SubProcess create_model() end ==================================
  12956. 2022-01-26 09:08:35,158:INFO:Creating metrics dataframe
  12957. 2022-01-26 09:08:35,170:INFO:Initializing Linear Discriminant Analysis
  12958. 2022-01-26 09:08:35,170:INFO:Total runtime is 1.0961407860120138 minutes
  12959. 2022-01-26 09:08:35,176:INFO:SubProcess create_model() called ==================================
  12960. 2022-01-26 09:08:35,176:INFO:Initializing create_model()
  12961. 2022-01-26 09:08:35,176:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12962. 2022-01-26 09:08:35,176:INFO:Checking exceptions
  12963. 2022-01-26 09:08:35,177:INFO:Importing libraries
  12964. 2022-01-26 09:08:35,177:INFO:Copying training dataset
  12965. 2022-01-26 09:08:35,178:INFO:Defining folds
  12966. 2022-01-26 09:08:35,178:INFO:Declaring metric variables
  12967. 2022-01-26 09:08:35,183:INFO:Importing untrained model
  12968. 2022-01-26 09:08:35,188:INFO:Linear Discriminant Analysis Imported succesfully
  12969. 2022-01-26 09:08:35,198:INFO:Starting cross validation
  12970. 2022-01-26 09:08:35,199:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12971. 2022-01-26 09:08:37,142:INFO:Calculating mean and std
  12972. 2022-01-26 09:08:37,143:INFO:Creating metrics dataframe
  12973. 2022-01-26 09:08:37,147:INFO:Uploading results into container
  12974. 2022-01-26 09:08:37,147:INFO:Uploading model into container now
  12975. 2022-01-26 09:08:37,147:INFO:create_model_container: 11
  12976. 2022-01-26 09:08:37,148:INFO:master_model_container: 11
  12977. 2022-01-26 09:08:37,148:INFO:display_container: 2
  12978. 2022-01-26 09:08:37,148:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  12979. solver='svd', store_covariance=False, tol=0.0001)
  12980. 2022-01-26 09:08:37,148:INFO:create_model() succesfully completed......................................
  12981. 2022-01-26 09:08:37,228:INFO:SubProcess create_model() end ==================================
  12982. 2022-01-26 09:08:37,228:INFO:Creating metrics dataframe
  12983. 2022-01-26 09:08:37,241:INFO:Initializing Extra Trees Classifier
  12984. 2022-01-26 09:08:37,241:INFO:Total runtime is 1.1306507190068564 minutes
  12985. 2022-01-26 09:08:37,246:INFO:SubProcess create_model() called ==================================
  12986. 2022-01-26 09:08:37,247:INFO:Initializing create_model()
  12987. 2022-01-26 09:08:37,247:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12988. 2022-01-26 09:08:37,247:INFO:Checking exceptions
  12989. 2022-01-26 09:08:37,247:INFO:Importing libraries
  12990. 2022-01-26 09:08:37,247:INFO:Copying training dataset
  12991. 2022-01-26 09:08:37,249:INFO:Defining folds
  12992. 2022-01-26 09:08:37,249:INFO:Declaring metric variables
  12993. 2022-01-26 09:08:37,254:INFO:Importing untrained model
  12994. 2022-01-26 09:08:37,259:INFO:Extra Trees Classifier Imported succesfully
  12995. 2022-01-26 09:08:37,270:INFO:Starting cross validation
  12996. 2022-01-26 09:08:37,270:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12997. 2022-01-26 09:08:44,256:INFO:Calculating mean and std
  12998. 2022-01-26 09:08:44,257:INFO:Creating metrics dataframe
  12999. 2022-01-26 09:08:44,259:INFO:Uploading results into container
  13000. 2022-01-26 09:08:44,260:INFO:Uploading model into container now
  13001. 2022-01-26 09:08:44,260:INFO:create_model_container: 12
  13002. 2022-01-26 09:08:44,260:INFO:master_model_container: 12
  13003. 2022-01-26 09:08:44,260:INFO:display_container: 2
  13004. 2022-01-26 09:08:44,261:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13005. criterion='gini', max_depth=None, max_features='auto',
  13006. max_leaf_nodes=None, max_samples=None,
  13007. min_impurity_decrease=0.0, min_impurity_split=None,
  13008. min_samples_leaf=1, min_samples_split=2,
  13009. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13010. oob_score=False, random_state=4718, verbose=0,
  13011. warm_start=False)
  13012. 2022-01-26 09:08:44,261:INFO:create_model() succesfully completed......................................
  13013. 2022-01-26 09:08:44,332:INFO:SubProcess create_model() end ==================================
  13014. 2022-01-26 09:08:44,332:INFO:Creating metrics dataframe
  13015. 2022-01-26 09:08:44,345:INFO:Initializing Light Gradient Boosting Machine
  13016. 2022-01-26 09:08:44,345:INFO:Total runtime is 1.2490598758061728 minutes
  13017. 2022-01-26 09:08:44,351:INFO:SubProcess create_model() called ==================================
  13018. 2022-01-26 09:08:44,351:INFO:Initializing create_model()
  13019. 2022-01-26 09:08:44,351:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  13020. 2022-01-26 09:08:44,352:INFO:Checking exceptions
  13021. 2022-01-26 09:08:44,352:INFO:Importing libraries
  13022. 2022-01-26 09:08:44,352:INFO:Copying training dataset
  13023. 2022-01-26 09:08:44,353:INFO:Defining folds
  13024. 2022-01-26 09:08:44,353:INFO:Declaring metric variables
  13025. 2022-01-26 09:08:44,358:INFO:Importing untrained model
  13026. 2022-01-26 09:08:44,363:INFO:Light Gradient Boosting Machine Imported succesfully
  13027. 2022-01-26 09:08:44,375:INFO:Starting cross validation
  13028. 2022-01-26 09:08:44,375:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13029. 2022-01-26 09:08:47,510:INFO:Calculating mean and std
  13030. 2022-01-26 09:08:47,511:INFO:Creating metrics dataframe
  13031. 2022-01-26 09:08:47,514:INFO:Uploading results into container
  13032. 2022-01-26 09:08:47,514:INFO:Uploading model into container now
  13033. 2022-01-26 09:08:47,515:INFO:create_model_container: 13
  13034. 2022-01-26 09:08:47,515:INFO:master_model_container: 13
  13035. 2022-01-26 09:08:47,515:INFO:display_container: 2
  13036. 2022-01-26 09:08:47,515:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13037. importance_type='split', learning_rate=0.1, max_depth=-1,
  13038. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13039. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13040. random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13041. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  13042. 2022-01-26 09:08:47,516:INFO:create_model() succesfully completed......................................
  13043. 2022-01-26 09:08:47,582:INFO:SubProcess create_model() end ==================================
  13044. 2022-01-26 09:08:47,582:INFO:Creating metrics dataframe
  13045. 2022-01-26 09:08:47,596:INFO:Initializing Dummy Classifier
  13046. 2022-01-26 09:08:47,596:INFO:Total runtime is 1.3032345215479535 minutes
  13047. 2022-01-26 09:08:47,601:INFO:SubProcess create_model() called ==================================
  13048. 2022-01-26 09:08:47,602:INFO:Initializing create_model()
  13049. 2022-01-26 09:08:47,602:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  13050. 2022-01-26 09:08:47,602:INFO:Checking exceptions
  13051. 2022-01-26 09:08:47,602:INFO:Importing libraries
  13052. 2022-01-26 09:08:47,602:INFO:Copying training dataset
  13053. 2022-01-26 09:08:47,604:INFO:Defining folds
  13054. 2022-01-26 09:08:47,604:INFO:Declaring metric variables
  13055. 2022-01-26 09:08:47,608:INFO:Importing untrained model
  13056. 2022-01-26 09:08:47,613:INFO:Dummy Classifier Imported succesfully
  13057. 2022-01-26 09:08:47,623:INFO:Starting cross validation
  13058. 2022-01-26 09:08:47,624:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13059. 2022-01-26 09:08:47,740:INFO:Calculating mean and std
  13060. 2022-01-26 09:08:47,741:INFO:Creating metrics dataframe
  13061. 2022-01-26 09:08:47,743:INFO:Uploading results into container
  13062. 2022-01-26 09:08:47,743:INFO:Uploading model into container now
  13063. 2022-01-26 09:08:47,744:INFO:create_model_container: 14
  13064. 2022-01-26 09:08:47,744:INFO:master_model_container: 14
  13065. 2022-01-26 09:08:47,744:INFO:display_container: 2
  13066. 2022-01-26 09:08:47,744:INFO:DummyClassifier(constant=None, random_state=4718, strategy='prior')
  13067. 2022-01-26 09:08:47,745:INFO:create_model() succesfully completed......................................
  13068. 2022-01-26 09:08:47,814:INFO:SubProcess create_model() end ==================================
  13069. 2022-01-26 09:08:47,815:INFO:Creating metrics dataframe
  13070. 2022-01-26 09:08:47,840:INFO:Initializing create_model()
  13071. 2022-01-26 09:08:47,840:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13072. criterion='gini', max_depth=None, max_features='auto',
  13073. max_leaf_nodes=None, max_samples=None,
  13074. min_impurity_decrease=0.0, min_impurity_split=None,
  13075. min_samples_leaf=1, min_samples_split=2,
  13076. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13077. oob_score=False, random_state=4718, verbose=0,
  13078. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13079. 2022-01-26 09:08:47,841:INFO:Checking exceptions
  13080. 2022-01-26 09:08:47,841:INFO:Importing libraries
  13081. 2022-01-26 09:08:47,841:INFO:Copying training dataset
  13082. 2022-01-26 09:08:47,842:INFO:Defining folds
  13083. 2022-01-26 09:08:47,842:INFO:Declaring metric variables
  13084. 2022-01-26 09:08:47,842:INFO:Importing untrained model
  13085. 2022-01-26 09:08:47,842:INFO:Declaring custom model
  13086. 2022-01-26 09:08:47,843:INFO:Extra Trees Classifier Imported succesfully
  13087. 2022-01-26 09:08:47,843:INFO:Cross validation set to False
  13088. 2022-01-26 09:08:47,844:INFO:Fitting Model
  13089. 2022-01-26 09:08:48,190:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13090. criterion='gini', max_depth=None, max_features='auto',
  13091. max_leaf_nodes=None, max_samples=None,
  13092. min_impurity_decrease=0.0, min_impurity_split=None,
  13093. min_samples_leaf=1, min_samples_split=2,
  13094. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13095. oob_score=False, random_state=4718, verbose=0,
  13096. warm_start=False)
  13097. 2022-01-26 09:08:48,190:INFO:create_models() succesfully completed......................................
  13098. 2022-01-26 09:08:48,270:INFO:Initializing create_model()
  13099. 2022-01-26 09:08:48,271:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13100. criterion='gini', max_depth=None, max_features='auto',
  13101. max_leaf_nodes=None, max_samples=None,
  13102. min_impurity_decrease=0.0, min_impurity_split=None,
  13103. min_samples_leaf=1, min_samples_split=2,
  13104. min_weight_fraction_leaf=0.0, n_estimators=100,
  13105. n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
  13106. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13107. 2022-01-26 09:08:48,271:INFO:Checking exceptions
  13108. 2022-01-26 09:08:48,271:INFO:Importing libraries
  13109. 2022-01-26 09:08:48,271:INFO:Copying training dataset
  13110. 2022-01-26 09:08:48,272:INFO:Defining folds
  13111. 2022-01-26 09:08:48,272:INFO:Declaring metric variables
  13112. 2022-01-26 09:08:48,272:INFO:Importing untrained model
  13113. 2022-01-26 09:08:48,273:INFO:Declaring custom model
  13114. 2022-01-26 09:08:48,273:INFO:Random Forest Classifier Imported succesfully
  13115. 2022-01-26 09:08:48,273:INFO:Cross validation set to False
  13116. 2022-01-26 09:08:48,273:INFO:Fitting Model
  13117. 2022-01-26 09:08:48,648:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13118. criterion='gini', max_depth=None, max_features='auto',
  13119. max_leaf_nodes=None, max_samples=None,
  13120. min_impurity_decrease=0.0, min_impurity_split=None,
  13121. min_samples_leaf=1, min_samples_split=2,
  13122. min_weight_fraction_leaf=0.0, n_estimators=100,
  13123. n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
  13124. warm_start=False)
  13125. 2022-01-26 09:08:48,648:INFO:create_models() succesfully completed......................................
  13126. 2022-01-26 09:08:48,722:INFO:Initializing create_model()
  13127. 2022-01-26 09:08:48,722:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13128. max_depth=None, max_features=None, max_leaf_nodes=None,
  13129. min_impurity_decrease=0.0, min_impurity_split=None,
  13130. min_samples_leaf=1, min_samples_split=2,
  13131. min_weight_fraction_leaf=0.0, presort='deprecated',
  13132. random_state=4718, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13133. 2022-01-26 09:08:48,723:INFO:Checking exceptions
  13134. 2022-01-26 09:08:48,723:INFO:Importing libraries
  13135. 2022-01-26 09:08:48,723:INFO:Copying training dataset
  13136. 2022-01-26 09:08:48,724:INFO:Defining folds
  13137. 2022-01-26 09:08:48,724:INFO:Declaring metric variables
  13138. 2022-01-26 09:08:48,724:INFO:Importing untrained model
  13139. 2022-01-26 09:08:48,724:INFO:Declaring custom model
  13140. 2022-01-26 09:08:48,725:INFO:Decision Tree Classifier Imported succesfully
  13141. 2022-01-26 09:08:48,725:INFO:Cross validation set to False
  13142. 2022-01-26 09:08:48,725:INFO:Fitting Model
  13143. 2022-01-26 09:08:48,856:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13144. max_depth=None, max_features=None, max_leaf_nodes=None,
  13145. min_impurity_decrease=0.0, min_impurity_split=None,
  13146. min_samples_leaf=1, min_samples_split=2,
  13147. min_weight_fraction_leaf=0.0, presort='deprecated',
  13148. random_state=4718, splitter='best')
  13149. 2022-01-26 09:08:48,857:INFO:create_models() succesfully completed......................................
  13150. 2022-01-26 09:08:48,929:INFO:Initializing create_model()
  13151. 2022-01-26 09:08:48,929:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13152. importance_type='split', learning_rate=0.1, max_depth=-1,
  13153. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13154. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13155. random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13156. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13157. 2022-01-26 09:08:48,930:INFO:Checking exceptions
  13158. 2022-01-26 09:08:48,930:INFO:Importing libraries
  13159. 2022-01-26 09:08:48,930:INFO:Copying training dataset
  13160. 2022-01-26 09:08:48,931:INFO:Defining folds
  13161. 2022-01-26 09:08:48,931:INFO:Declaring metric variables
  13162. 2022-01-26 09:08:48,931:INFO:Importing untrained model
  13163. 2022-01-26 09:08:48,931:INFO:Declaring custom model
  13164. 2022-01-26 09:08:48,932:INFO:Light Gradient Boosting Machine Imported succesfully
  13165. 2022-01-26 09:08:48,932:INFO:Cross validation set to False
  13166. 2022-01-26 09:08:48,932:INFO:Fitting Model
  13167. 2022-01-26 09:08:49,387:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13168. importance_type='split', learning_rate=0.1, max_depth=-1,
  13169. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13170. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13171. random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13172. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  13173. 2022-01-26 09:08:49,387:INFO:create_models() succesfully completed......................................
  13174. 2022-01-26 09:08:49,465:INFO:Initializing create_model()
  13175. 2022-01-26 09:08:49,466:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13176. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13177. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13178. 2022-01-26 09:08:49,466:INFO:Checking exceptions
  13179. 2022-01-26 09:08:49,466:INFO:Importing libraries
  13180. 2022-01-26 09:08:49,466:INFO:Copying training dataset
  13181. 2022-01-26 09:08:49,467:INFO:Defining folds
  13182. 2022-01-26 09:08:49,468:INFO:Declaring metric variables
  13183. 2022-01-26 09:08:49,468:INFO:Importing untrained model
  13184. 2022-01-26 09:08:49,468:INFO:Declaring custom model
  13185. 2022-01-26 09:08:49,468:INFO:K Neighbors Classifier Imported succesfully
  13186. 2022-01-26 09:08:49,469:INFO:Cross validation set to False
  13187. 2022-01-26 09:08:49,469:INFO:Fitting Model
  13188. 2022-01-26 09:08:50,371:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13189. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13190. weights='uniform')
  13191. 2022-01-26 09:08:50,371:INFO:create_models() succesfully completed......................................
  13192. 2022-01-26 09:08:50,442:INFO:Initializing create_model()
  13193. 2022-01-26 09:08:50,442:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13194. learning_rate=0.1, loss='deviance', max_depth=3,
  13195. max_features=None, max_leaf_nodes=None,
  13196. min_impurity_decrease=0.0, min_impurity_split=None,
  13197. min_samples_leaf=1, min_samples_split=2,
  13198. min_weight_fraction_leaf=0.0, n_estimators=100,
  13199. n_iter_no_change=None, presort='deprecated',
  13200. random_state=4718, subsample=1.0, tol=0.0001,
  13201. validation_fraction=0.1, verbose=0,
  13202. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13203. 2022-01-26 09:08:50,442:INFO:Checking exceptions
  13204. 2022-01-26 09:08:50,442:INFO:Importing libraries
  13205. 2022-01-26 09:08:50,443:INFO:Copying training dataset
  13206. 2022-01-26 09:08:50,444:INFO:Defining folds
  13207. 2022-01-26 09:08:50,444:INFO:Declaring metric variables
  13208. 2022-01-26 09:08:50,444:INFO:Importing untrained model
  13209. 2022-01-26 09:08:50,444:INFO:Declaring custom model
  13210. 2022-01-26 09:08:50,445:INFO:Gradient Boosting Classifier Imported succesfully
  13211. 2022-01-26 09:08:50,445:INFO:Cross validation set to False
  13212. 2022-01-26 09:08:50,445:INFO:Fitting Model
  13213. 2022-01-26 09:08:53,309:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13214. learning_rate=0.1, loss='deviance', max_depth=3,
  13215. max_features=None, max_leaf_nodes=None,
  13216. min_impurity_decrease=0.0, min_impurity_split=None,
  13217. min_samples_leaf=1, min_samples_split=2,
  13218. min_weight_fraction_leaf=0.0, n_estimators=100,
  13219. n_iter_no_change=None, presort='deprecated',
  13220. random_state=4718, subsample=1.0, tol=0.0001,
  13221. validation_fraction=0.1, verbose=0,
  13222. warm_start=False)
  13223. 2022-01-26 09:08:53,309:INFO:create_models() succesfully completed......................................
  13224. 2022-01-26 09:08:53,409:INFO:create_model_container: 14
  13225. 2022-01-26 09:08:53,409:INFO:master_model_container: 14
  13226. 2022-01-26 09:08:53,409:INFO:display_container: 2
  13227. 2022-01-26 09:08:53,411:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13228. criterion='gini', max_depth=None, max_features='auto',
  13229. max_leaf_nodes=None, max_samples=None,
  13230. min_impurity_decrease=0.0, min_impurity_split=None,
  13231. min_samples_leaf=1, min_samples_split=2,
  13232. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13233. oob_score=False, random_state=4718, verbose=0,
  13234. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13235. criterion='gini', max_depth=None, max_features='auto',
  13236. max_leaf_nodes=None, max_samples=None,
  13237. min_impurity_decrease=0.0, min_impurity_split=None,
  13238. min_samples_leaf=1, min_samples_split=2,
  13239. min_weight_fraction_leaf=0.0, n_estimators=100,
  13240. n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
  13241. warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13242. max_depth=None, max_features=None, max_leaf_nodes=None,
  13243. min_impurity_decrease=0.0, min_impurity_split=None,
  13244. min_samples_leaf=1, min_samples_split=2,
  13245. min_weight_fraction_leaf=0.0, presort='deprecated',
  13246. random_state=4718, splitter='best'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13247. importance_type='split', learning_rate=0.1, max_depth=-1,
  13248. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13249. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13250. random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13251. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13252. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13253. weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13254. learning_rate=0.1, loss='deviance', max_depth=3,
  13255. max_features=None, max_leaf_nodes=None,
  13256. min_impurity_decrease=0.0, min_impurity_split=None,
  13257. min_samples_leaf=1, min_samples_split=2,
  13258. min_weight_fraction_leaf=0.0, n_estimators=100,
  13259. n_iter_no_change=None, presort='deprecated',
  13260. random_state=4718, subsample=1.0, tol=0.0001,
  13261. validation_fraction=0.1, verbose=0,
  13262. warm_start=False)]
  13263. 2022-01-26 09:08:53,411:INFO:compare_models() succesfully completed......................................
  13264. 2022-01-26 10:33:44,922:INFO:PyCaret Supervised Module
  13265. 2022-01-26 10:33:44,922:INFO:ML Usecase: classification
  13266. 2022-01-26 10:33:44,923:INFO:version 2.3.6
  13267. 2022-01-26 10:33:44,923:INFO:Initializing setup()
  13268. 2022-01-26 10:33:44,923:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  13269. 2022-01-26 10:33:44,923:INFO:Checking environment
  13270. 2022-01-26 10:33:44,923:INFO:python_version: 3.8.8
  13271. 2022-01-26 10:33:44,924:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  13272. 2022-01-26 10:33:44,924:INFO:machine: x86_64
  13273. 2022-01-26 10:33:44,924:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  13274. 2022-01-26 10:33:44,924:INFO:Memory: svmem(total=33619935232, available=27370848256, percent=18.6, used=5393879040, free=24363859968, active=1616281600, inactive=6959742976, buffers=998359040, cached=2863837184, shared=383635456, slab=328208384)
  13275. 2022-01-26 10:33:44,925:INFO:Physical Core: 16
  13276. 2022-01-26 10:33:44,925:INFO:Logical Core: 32
  13277. 2022-01-26 10:33:44,925:INFO:Checking libraries
  13278. 2022-01-26 10:33:44,925:INFO:pd==1.2.4
  13279. 2022-01-26 10:33:44,925:INFO:numpy==1.19.5
  13280. 2022-01-26 10:33:44,926:INFO:sklearn==0.23.2
  13281. 2022-01-26 10:33:44,926:INFO:lightgbm==3.3.2
  13282. 2022-01-26 10:33:44,926:WARNING:catboost not found
  13283. 2022-01-26 10:33:44,927:WARNING:xgboost not found
  13284. 2022-01-26 10:33:44,927:INFO:mlflow==1.22.0
  13285. 2022-01-26 10:33:44,927:INFO:Checking Exceptions
  13286. 2022-01-26 10:33:44,927:INFO:Declaring global variables
  13287. 2022-01-26 10:33:44,927:INFO:USI: 8c35
  13288. 2022-01-26 10:33:44,928:INFO:pycaret_globals: {'create_model_container', 'fold_generator', 'n_jobs_param', 'y_test', '_ml_usecase', 'imputation_classifier', 'log_plots_param', 'transform_target_method_param', '_internal_pipeline', 'fix_imbalance_method_param', '_all_models_internal', 'stratify_param', 'seed', 'experiment__', 'master_model_container', 'X_test', '_all_metrics', 'html_param', 'logging_param', 'y', 'gpu_param', 'prep_pipe', 'fold_param', 'data_before_preprocess', 'target_param', '_all_models', 'transform_target_param', 'display_container', 'fold_groups_param', 'USI', 'pycaret_globals', 'fold_groups_param_full', '_available_plots', 'y_train', 'iterative_imputation_iters_param', 'imputation_regressor', 'fold_shuffle_param', 'X', 'fix_imbalance_param', 'X_train', '_gpu_n_jobs_param', 'exp_name_log'}
  13289. 2022-01-26 10:33:44,928:INFO:Preparing display monitor
  13290. 2022-01-26 10:33:44,928:INFO:Preparing display monitor
  13291. 2022-01-26 10:33:44,936:INFO:Importing libraries
  13292. 2022-01-26 10:33:44,936:INFO:Copying data for preprocessing
  13293. 2022-01-26 10:33:44,943:INFO:Declaring preprocessing parameters
  13294. 2022-01-26 10:33:44,944:WARNING:cuML not found
  13295. 2022-01-26 10:33:44,944:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  13296. 2022-01-26 10:33:44,948:INFO:Creating preprocessing pipeline
  13297. 2022-01-26 10:33:45,004:INFO:Preprocessing pipeline created successfully
  13298. 2022-01-26 10:33:45,005:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  13299. 2022-01-26 10:33:45,005:INFO:Creating global containers
  13300. 2022-01-26 10:33:45,005:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  13301. 2022-01-26 10:33:46,890:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  13302. 2022-01-26 10:33:46,918:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  13303. 2022-01-26 10:33:46,919:WARNING:Couldn't import cuml.MBSGDClassifier
  13304. 2022-01-26 10:33:46,920:WARNING:Couldn't import cuml.svm.SVC
  13305. 2022-01-26 10:33:46,935:WARNING:Couldn't import cuml.linear_model
  13306. 2022-01-26 10:33:46,938:WARNING:Couldn't import cuml.ensemble
  13307. 2022-01-26 10:33:46,940:WARNING:Couldn't import xgboost.XGBClassifier
  13308. 2022-01-26 10:33:46,944:WARNING:Couldn't import catboost.CatBoostClassifier
  13309. 2022-01-26 10:33:46,945:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  13310. 2022-01-26 10:33:46,977:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  13311. 2022-01-26 10:33:46,978:WARNING:Couldn't import cuml.MBSGDClassifier
  13312. 2022-01-26 10:33:46,979:WARNING:Couldn't import cuml.svm.SVC
  13313. 2022-01-26 10:33:46,995:WARNING:Couldn't import cuml.linear_model
  13314. 2022-01-26 10:33:46,999:WARNING:Couldn't import cuml.ensemble
  13315. 2022-01-26 10:33:47,000:WARNING:Couldn't import xgboost.XGBClassifier
  13316. 2022-01-26 10:33:47,004:WARNING:Couldn't import catboost.CatBoostClassifier
  13317. 2022-01-26 10:33:47,005:INFO:Creating grid variables
  13318. 2022-01-26 10:33:47,019:INFO:create_model_container: 0
  13319. 2022-01-26 10:33:47,019:INFO:master_model_container: 0
  13320. 2022-01-26 10:33:47,020:INFO:display_container: 1
  13321. 2022-01-26 10:33:47,023:INFO:Pipeline(memory=None,
  13322. steps=[('dtypes',
  13323. DataTypes_Auto_infer(categorical_features=[],
  13324. display_types=True, features_todrop=[],
  13325. id_columns=['Unnamed: 0'],
  13326. ml_usecase='classification',
  13327. numerical_features=[], target='label',
  13328. time_features=[])),
  13329. ('imputer',
  13330. Simple_Imputer(categorical_strategy='not_available',
  13331. fill_value_categorical=None,
  13332. fill_value_numerical=None,
  13333. num...
  13334. target='label')),
  13335. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  13336. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  13337. ('dummy', Dummify(target='label')),
  13338. ('fix_perfect', Remove_100(target='label')),
  13339. ('clean_names', Clean_Colum_Names()),
  13340. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  13341. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  13342. verbose=False)
  13343. 2022-01-26 10:33:47,023:INFO:setup() succesfully completed......................................
  13344. 2022-01-26 10:33:57,190:INFO:Initializing compare_models()
  13345. 2022-01-26 10:33:57,190:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  13346. 2022-01-26 10:33:57,191:INFO:Checking exceptions
  13347. 2022-01-26 10:33:57,192:INFO:Preparing display monitor
  13348. 2022-01-26 10:33:57,192:INFO:Preparing display monitor
  13349. 2022-01-26 10:33:57,211:INFO:Initializing Logistic Regression
  13350. 2022-01-26 10:33:57,211:INFO:Total runtime is 5.690256754557292e-06 minutes
  13351. 2022-01-26 10:33:57,217:INFO:SubProcess create_model() called ==================================
  13352. 2022-01-26 10:33:57,218:INFO:Initializing create_model()
  13353. 2022-01-26 10:33:57,218:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13354. 2022-01-26 10:33:57,218:INFO:Checking exceptions
  13355. 2022-01-26 10:33:57,218:INFO:Importing libraries
  13356. 2022-01-26 10:33:57,218:INFO:Copying training dataset
  13357. 2022-01-26 10:33:57,220:INFO:Defining folds
  13358. 2022-01-26 10:33:57,220:INFO:Declaring metric variables
  13359. 2022-01-26 10:33:57,226:INFO:Importing untrained model
  13360. 2022-01-26 10:33:57,231:INFO:Logistic Regression Imported succesfully
  13361. 2022-01-26 10:33:57,242:INFO:Starting cross validation
  13362. 2022-01-26 10:33:57,242:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13363. 2022-01-26 10:34:07,932:INFO:Calculating mean and std
  13364. 2022-01-26 10:34:07,935:INFO:Creating metrics dataframe
  13365. 2022-01-26 10:34:07,940:INFO:Uploading results into container
  13366. 2022-01-26 10:34:07,940:INFO:Uploading model into container now
  13367. 2022-01-26 10:34:07,941:INFO:create_model_container: 1
  13368. 2022-01-26 10:34:07,941:INFO:master_model_container: 1
  13369. 2022-01-26 10:34:07,941:INFO:display_container: 2
  13370. 2022-01-26 10:34:07,942:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  13371. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  13372. multi_class='auto', n_jobs=None, penalty='l2',
  13373. random_state=4851, solver='lbfgs', tol=0.0001, verbose=0,
  13374. warm_start=False)
  13375. 2022-01-26 10:34:07,942:INFO:create_model() succesfully completed......................................
  13376. 2022-01-26 10:34:08,039:INFO:SubProcess create_model() end ==================================
  13377. 2022-01-26 10:34:08,039:INFO:Creating metrics dataframe
  13378. 2022-01-26 10:34:08,049:INFO:Initializing K Neighbors Classifier
  13379. 2022-01-26 10:34:08,049:INFO:Total runtime is 0.18064369757970175 minutes
  13380. 2022-01-26 10:34:08,055:INFO:SubProcess create_model() called ==================================
  13381. 2022-01-26 10:34:08,056:INFO:Initializing create_model()
  13382. 2022-01-26 10:34:08,056:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13383. 2022-01-26 10:34:08,056:INFO:Checking exceptions
  13384. 2022-01-26 10:34:08,056:INFO:Importing libraries
  13385. 2022-01-26 10:34:08,056:INFO:Copying training dataset
  13386. 2022-01-26 10:34:08,058:INFO:Defining folds
  13387. 2022-01-26 10:34:08,058:INFO:Declaring metric variables
  13388. 2022-01-26 10:34:08,063:INFO:Importing untrained model
  13389. 2022-01-26 10:34:08,068:INFO:K Neighbors Classifier Imported succesfully
  13390. 2022-01-26 10:34:08,079:INFO:Starting cross validation
  13391. 2022-01-26 10:34:08,080:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13392. 2022-01-26 10:34:24,090:INFO:Calculating mean and std
  13393. 2022-01-26 10:34:24,091:INFO:Creating metrics dataframe
  13394. 2022-01-26 10:34:24,094:INFO:Uploading results into container
  13395. 2022-01-26 10:34:24,094:INFO:Uploading model into container now
  13396. 2022-01-26 10:34:24,094:INFO:create_model_container: 2
  13397. 2022-01-26 10:34:24,094:INFO:master_model_container: 2
  13398. 2022-01-26 10:34:24,094:INFO:display_container: 2
  13399. 2022-01-26 10:34:24,095:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13400. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13401. weights='uniform')
  13402. 2022-01-26 10:34:24,095:INFO:create_model() succesfully completed......................................
  13403. 2022-01-26 10:34:24,170:INFO:SubProcess create_model() end ==================================
  13404. 2022-01-26 10:34:24,170:INFO:Creating metrics dataframe
  13405. 2022-01-26 10:34:24,181:INFO:Initializing Naive Bayes
  13406. 2022-01-26 10:34:24,181:INFO:Total runtime is 0.4495099743207296 minutes
  13407. 2022-01-26 10:34:24,187:INFO:SubProcess create_model() called ==================================
  13408. 2022-01-26 10:34:24,187:INFO:Initializing create_model()
  13409. 2022-01-26 10:34:24,187:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13410. 2022-01-26 10:34:24,187:INFO:Checking exceptions
  13411. 2022-01-26 10:34:24,188:INFO:Importing libraries
  13412. 2022-01-26 10:34:24,188:INFO:Copying training dataset
  13413. 2022-01-26 10:34:24,191:INFO:Defining folds
  13414. 2022-01-26 10:34:24,191:INFO:Declaring metric variables
  13415. 2022-01-26 10:34:24,196:INFO:Importing untrained model
  13416. 2022-01-26 10:34:24,201:INFO:Naive Bayes Imported succesfully
  13417. 2022-01-26 10:34:24,213:INFO:Starting cross validation
  13418. 2022-01-26 10:34:24,214:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13419. 2022-01-26 10:34:24,464:INFO:Calculating mean and std
  13420. 2022-01-26 10:34:24,464:INFO:Creating metrics dataframe
  13421. 2022-01-26 10:34:24,467:INFO:Uploading results into container
  13422. 2022-01-26 10:34:24,467:INFO:Uploading model into container now
  13423. 2022-01-26 10:34:24,467:INFO:create_model_container: 3
  13424. 2022-01-26 10:34:24,468:INFO:master_model_container: 3
  13425. 2022-01-26 10:34:24,468:INFO:display_container: 2
  13426. 2022-01-26 10:34:24,468:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  13427. 2022-01-26 10:34:24,468:INFO:create_model() succesfully completed......................................
  13428. 2022-01-26 10:34:24,537:INFO:SubProcess create_model() end ==================================
  13429. 2022-01-26 10:34:24,538:INFO:Creating metrics dataframe
  13430. 2022-01-26 10:34:24,549:INFO:Initializing Decision Tree Classifier
  13431. 2022-01-26 10:34:24,549:INFO:Total runtime is 0.4556432445844015 minutes
  13432. 2022-01-26 10:34:24,555:INFO:SubProcess create_model() called ==================================
  13433. 2022-01-26 10:34:24,555:INFO:Initializing create_model()
  13434. 2022-01-26 10:34:24,556:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13435. 2022-01-26 10:34:24,556:INFO:Checking exceptions
  13436. 2022-01-26 10:34:24,556:INFO:Importing libraries
  13437. 2022-01-26 10:34:24,556:INFO:Copying training dataset
  13438. 2022-01-26 10:34:24,558:INFO:Defining folds
  13439. 2022-01-26 10:34:24,558:INFO:Declaring metric variables
  13440. 2022-01-26 10:34:24,563:INFO:Importing untrained model
  13441. 2022-01-26 10:34:24,568:INFO:Decision Tree Classifier Imported succesfully
  13442. 2022-01-26 10:34:24,579:INFO:Starting cross validation
  13443. 2022-01-26 10:34:24,580:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13444. 2022-01-26 10:34:26,163:INFO:Calculating mean and std
  13445. 2022-01-26 10:34:26,163:INFO:Creating metrics dataframe
  13446. 2022-01-26 10:34:26,166:INFO:Uploading results into container
  13447. 2022-01-26 10:34:26,166:INFO:Uploading model into container now
  13448. 2022-01-26 10:34:26,167:INFO:create_model_container: 4
  13449. 2022-01-26 10:34:26,167:INFO:master_model_container: 4
  13450. 2022-01-26 10:34:26,167:INFO:display_container: 2
  13451. 2022-01-26 10:34:26,167:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13452. max_depth=None, max_features=None, max_leaf_nodes=None,
  13453. min_impurity_decrease=0.0, min_impurity_split=None,
  13454. min_samples_leaf=1, min_samples_split=2,
  13455. min_weight_fraction_leaf=0.0, presort='deprecated',
  13456. random_state=4851, splitter='best')
  13457. 2022-01-26 10:34:26,167:INFO:create_model() succesfully completed......................................
  13458. 2022-01-26 10:34:26,239:INFO:SubProcess create_model() end ==================================
  13459. 2022-01-26 10:34:26,240:INFO:Creating metrics dataframe
  13460. 2022-01-26 10:34:26,251:INFO:Initializing SVM - Linear Kernel
  13461. 2022-01-26 10:34:26,251:INFO:Total runtime is 0.4840099096298218 minutes
  13462. 2022-01-26 10:34:26,257:INFO:SubProcess create_model() called ==================================
  13463. 2022-01-26 10:34:26,257:INFO:Initializing create_model()
  13464. 2022-01-26 10:34:26,257:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13465. 2022-01-26 10:34:26,258:INFO:Checking exceptions
  13466. 2022-01-26 10:34:26,258:INFO:Importing libraries
  13467. 2022-01-26 10:34:26,258:INFO:Copying training dataset
  13468. 2022-01-26 10:34:26,259:INFO:Defining folds
  13469. 2022-01-26 10:34:26,259:INFO:Declaring metric variables
  13470. 2022-01-26 10:34:26,264:INFO:Importing untrained model
  13471. 2022-01-26 10:34:26,270:INFO:SVM - Linear Kernel Imported succesfully
  13472. 2022-01-26 10:34:26,282:INFO:Starting cross validation
  13473. 2022-01-26 10:34:26,283:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13474. 2022-01-26 10:34:27,744:INFO:Calculating mean and std
  13475. 2022-01-26 10:34:27,747:INFO:Creating metrics dataframe
  13476. 2022-01-26 10:34:27,755:INFO:Uploading results into container
  13477. 2022-01-26 10:34:27,757:INFO:Uploading model into container now
  13478. 2022-01-26 10:34:27,758:INFO:create_model_container: 5
  13479. 2022-01-26 10:34:27,760:INFO:master_model_container: 5
  13480. 2022-01-26 10:34:27,760:INFO:display_container: 2
  13481. 2022-01-26 10:34:27,761:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  13482. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  13483. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  13484. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  13485. power_t=0.5, random_state=4851, shuffle=True, tol=0.001,
  13486. validation_fraction=0.1, verbose=0, warm_start=False)
  13487. 2022-01-26 10:34:27,762:INFO:create_model() succesfully completed......................................
  13488. 2022-01-26 10:34:27,843:INFO:SubProcess create_model() end ==================================
  13489. 2022-01-26 10:34:27,843:INFO:Creating metrics dataframe
  13490. 2022-01-26 10:34:27,855:INFO:Initializing Ridge Classifier
  13491. 2022-01-26 10:34:27,855:INFO:Total runtime is 0.5107457280158997 minutes
  13492. 2022-01-26 10:34:27,861:INFO:SubProcess create_model() called ==================================
  13493. 2022-01-26 10:34:27,862:INFO:Initializing create_model()
  13494. 2022-01-26 10:34:27,862:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13495. 2022-01-26 10:34:27,862:INFO:Checking exceptions
  13496. 2022-01-26 10:34:27,862:INFO:Importing libraries
  13497. 2022-01-26 10:34:27,862:INFO:Copying training dataset
  13498. 2022-01-26 10:34:27,864:INFO:Defining folds
  13499. 2022-01-26 10:34:27,864:INFO:Declaring metric variables
  13500. 2022-01-26 10:34:27,869:INFO:Importing untrained model
  13501. 2022-01-26 10:34:27,874:INFO:Ridge Classifier Imported succesfully
  13502. 2022-01-26 10:34:27,884:INFO:Starting cross validation
  13503. 2022-01-26 10:34:27,885:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13504. 2022-01-26 10:34:28,517:INFO:Calculating mean and std
  13505. 2022-01-26 10:34:28,519:INFO:Creating metrics dataframe
  13506. 2022-01-26 10:34:28,524:INFO:Uploading results into container
  13507. 2022-01-26 10:34:28,524:INFO:Uploading model into container now
  13508. 2022-01-26 10:34:28,525:INFO:create_model_container: 6
  13509. 2022-01-26 10:34:28,525:INFO:master_model_container: 6
  13510. 2022-01-26 10:34:28,525:INFO:display_container: 2
  13511. 2022-01-26 10:34:28,526:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  13512. max_iter=None, normalize=False, random_state=4851,
  13513. solver='auto', tol=0.001)
  13514. 2022-01-26 10:34:28,526:INFO:create_model() succesfully completed......................................
  13515. 2022-01-26 10:34:28,623:INFO:SubProcess create_model() end ==================================
  13516. 2022-01-26 10:34:28,623:INFO:Creating metrics dataframe
  13517. 2022-01-26 10:34:28,635:INFO:Initializing Random Forest Classifier
  13518. 2022-01-26 10:34:28,636:INFO:Total runtime is 0.5237489740053813 minutes
  13519. 2022-01-26 10:34:28,642:INFO:SubProcess create_model() called ==================================
  13520. 2022-01-26 10:34:28,642:INFO:Initializing create_model()
  13521. 2022-01-26 10:34:28,642:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13522. 2022-01-26 10:34:28,642:INFO:Checking exceptions
  13523. 2022-01-26 10:34:28,643:INFO:Importing libraries
  13524. 2022-01-26 10:34:28,643:INFO:Copying training dataset
  13525. 2022-01-26 10:34:28,644:INFO:Defining folds
  13526. 2022-01-26 10:34:28,644:INFO:Declaring metric variables
  13527. 2022-01-26 10:34:28,650:INFO:Importing untrained model
  13528. 2022-01-26 10:34:28,655:INFO:Random Forest Classifier Imported succesfully
  13529. 2022-01-26 10:34:28,667:INFO:Starting cross validation
  13530. 2022-01-26 10:34:28,667:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13531. 2022-01-26 10:34:35,647:INFO:Calculating mean and std
  13532. 2022-01-26 10:34:35,648:INFO:Creating metrics dataframe
  13533. 2022-01-26 10:34:35,651:INFO:Uploading results into container
  13534. 2022-01-26 10:34:35,651:INFO:Uploading model into container now
  13535. 2022-01-26 10:34:35,651:INFO:create_model_container: 7
  13536. 2022-01-26 10:34:35,651:INFO:master_model_container: 7
  13537. 2022-01-26 10:34:35,652:INFO:display_container: 2
  13538. 2022-01-26 10:34:35,652:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13539. criterion='gini', max_depth=None, max_features='auto',
  13540. max_leaf_nodes=None, max_samples=None,
  13541. min_impurity_decrease=0.0, min_impurity_split=None,
  13542. min_samples_leaf=1, min_samples_split=2,
  13543. min_weight_fraction_leaf=0.0, n_estimators=100,
  13544. n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
  13545. warm_start=False)
  13546. 2022-01-26 10:34:35,652:INFO:create_model() succesfully completed......................................
  13547. 2022-01-26 10:34:35,738:INFO:SubProcess create_model() end ==================================
  13548. 2022-01-26 10:34:35,738:INFO:Creating metrics dataframe
  13549. 2022-01-26 10:34:35,750:INFO:Initializing Quadratic Discriminant Analysis
  13550. 2022-01-26 10:34:35,751:INFO:Total runtime is 0.6423328280448914 minutes
  13551. 2022-01-26 10:34:35,756:INFO:SubProcess create_model() called ==================================
  13552. 2022-01-26 10:34:35,756:INFO:Initializing create_model()
  13553. 2022-01-26 10:34:35,756:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13554. 2022-01-26 10:34:35,757:INFO:Checking exceptions
  13555. 2022-01-26 10:34:35,757:INFO:Importing libraries
  13556. 2022-01-26 10:34:35,757:INFO:Copying training dataset
  13557. 2022-01-26 10:34:35,758:INFO:Defining folds
  13558. 2022-01-26 10:34:35,758:INFO:Declaring metric variables
  13559. 2022-01-26 10:34:35,763:INFO:Importing untrained model
  13560. 2022-01-26 10:34:35,768:INFO:Quadratic Discriminant Analysis Imported succesfully
  13561. 2022-01-26 10:34:35,779:INFO:Starting cross validation
  13562. 2022-01-26 10:34:35,780:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13563. 2022-01-26 10:34:36,551:INFO:Calculating mean and std
  13564. 2022-01-26 10:34:36,552:INFO:Creating metrics dataframe
  13565. 2022-01-26 10:34:36,558:INFO:Uploading results into container
  13566. 2022-01-26 10:34:36,558:INFO:Uploading model into container now
  13567. 2022-01-26 10:34:36,559:INFO:create_model_container: 8
  13568. 2022-01-26 10:34:36,559:INFO:master_model_container: 8
  13569. 2022-01-26 10:34:36,559:INFO:display_container: 2
  13570. 2022-01-26 10:34:36,559:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  13571. store_covariance=False, tol=0.0001)
  13572. 2022-01-26 10:34:36,560:INFO:create_model() succesfully completed......................................
  13573. 2022-01-26 10:34:36,642:INFO:SubProcess create_model() end ==================================
  13574. 2022-01-26 10:34:36,642:INFO:Creating metrics dataframe
  13575. 2022-01-26 10:34:36,654:INFO:Initializing Ada Boost Classifier
  13576. 2022-01-26 10:34:36,654:INFO:Total runtime is 0.6573969364166261 minutes
  13577. 2022-01-26 10:34:36,660:INFO:SubProcess create_model() called ==================================
  13578. 2022-01-26 10:34:36,660:INFO:Initializing create_model()
  13579. 2022-01-26 10:34:36,661:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13580. 2022-01-26 10:34:36,661:INFO:Checking exceptions
  13581. 2022-01-26 10:34:36,661:INFO:Importing libraries
  13582. 2022-01-26 10:34:36,661:INFO:Copying training dataset
  13583. 2022-01-26 10:34:36,662:INFO:Defining folds
  13584. 2022-01-26 10:34:36,663:INFO:Declaring metric variables
  13585. 2022-01-26 10:34:36,667:INFO:Importing untrained model
  13586. 2022-01-26 10:34:36,672:INFO:Ada Boost Classifier Imported succesfully
  13587. 2022-01-26 10:34:36,683:INFO:Starting cross validation
  13588. 2022-01-26 10:34:36,683:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13589. 2022-01-26 10:34:45,037:INFO:Calculating mean and std
  13590. 2022-01-26 10:34:45,038:INFO:Creating metrics dataframe
  13591. 2022-01-26 10:34:45,041:INFO:Uploading results into container
  13592. 2022-01-26 10:34:45,041:INFO:Uploading model into container now
  13593. 2022-01-26 10:34:45,041:INFO:create_model_container: 9
  13594. 2022-01-26 10:34:45,042:INFO:master_model_container: 9
  13595. 2022-01-26 10:34:45,042:INFO:display_container: 2
  13596. 2022-01-26 10:34:45,042:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  13597. n_estimators=50, random_state=4851)
  13598. 2022-01-26 10:34:45,042:INFO:create_model() succesfully completed......................................
  13599. 2022-01-26 10:34:45,113:INFO:SubProcess create_model() end ==================================
  13600. 2022-01-26 10:34:45,114:INFO:Creating metrics dataframe
  13601. 2022-01-26 10:34:45,126:INFO:Initializing Gradient Boosting Classifier
  13602. 2022-01-26 10:34:45,127:INFO:Total runtime is 0.7985983053843182 minutes
  13603. 2022-01-26 10:34:45,132:INFO:SubProcess create_model() called ==================================
  13604. 2022-01-26 10:34:45,132:INFO:Initializing create_model()
  13605. 2022-01-26 10:34:45,133:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13606. 2022-01-26 10:34:45,133:INFO:Checking exceptions
  13607. 2022-01-26 10:34:45,133:INFO:Importing libraries
  13608. 2022-01-26 10:34:45,133:INFO:Copying training dataset
  13609. 2022-01-26 10:34:45,134:INFO:Defining folds
  13610. 2022-01-26 10:34:45,135:INFO:Declaring metric variables
  13611. 2022-01-26 10:34:45,140:INFO:Importing untrained model
  13612. 2022-01-26 10:34:45,145:INFO:Gradient Boosting Classifier Imported succesfully
  13613. 2022-01-26 10:34:45,155:INFO:Starting cross validation
  13614. 2022-01-26 10:34:45,156:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13615. 2022-01-26 10:35:16,199:INFO:Calculating mean and std
  13616. 2022-01-26 10:35:16,200:INFO:Creating metrics dataframe
  13617. 2022-01-26 10:35:16,203:INFO:Uploading results into container
  13618. 2022-01-26 10:35:16,203:INFO:Uploading model into container now
  13619. 2022-01-26 10:35:16,203:INFO:create_model_container: 10
  13620. 2022-01-26 10:35:16,203:INFO:master_model_container: 10
  13621. 2022-01-26 10:35:16,203:INFO:display_container: 2
  13622. 2022-01-26 10:35:16,204:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13623. learning_rate=0.1, loss='deviance', max_depth=3,
  13624. max_features=None, max_leaf_nodes=None,
  13625. min_impurity_decrease=0.0, min_impurity_split=None,
  13626. min_samples_leaf=1, min_samples_split=2,
  13627. min_weight_fraction_leaf=0.0, n_estimators=100,
  13628. n_iter_no_change=None, presort='deprecated',
  13629. random_state=4851, subsample=1.0, tol=0.0001,
  13630. validation_fraction=0.1, verbose=0,
  13631. warm_start=False)
  13632. 2022-01-26 10:35:16,204:INFO:create_model() succesfully completed......................................
  13633. 2022-01-26 10:35:16,271:INFO:SubProcess create_model() end ==================================
  13634. 2022-01-26 10:35:16,272:INFO:Creating metrics dataframe
  13635. 2022-01-26 10:35:16,284:INFO:Initializing Linear Discriminant Analysis
  13636. 2022-01-26 10:35:16,284:INFO:Total runtime is 1.3178923209508262 minutes
  13637. 2022-01-26 10:35:16,290:INFO:SubProcess create_model() called ==================================
  13638. 2022-01-26 10:35:16,290:INFO:Initializing create_model()
  13639. 2022-01-26 10:35:16,290:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13640. 2022-01-26 10:35:16,291:INFO:Checking exceptions
  13641. 2022-01-26 10:35:16,291:INFO:Importing libraries
  13642. 2022-01-26 10:35:16,291:INFO:Copying training dataset
  13643. 2022-01-26 10:35:16,292:INFO:Defining folds
  13644. 2022-01-26 10:35:16,292:INFO:Declaring metric variables
  13645. 2022-01-26 10:35:16,297:INFO:Importing untrained model
  13646. 2022-01-26 10:35:16,302:INFO:Linear Discriminant Analysis Imported succesfully
  13647. 2022-01-26 10:35:16,313:INFO:Starting cross validation
  13648. 2022-01-26 10:35:16,313:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13649. 2022-01-26 10:35:18,196:INFO:Calculating mean and std
  13650. 2022-01-26 10:35:18,199:INFO:Creating metrics dataframe
  13651. 2022-01-26 10:35:18,204:INFO:Uploading results into container
  13652. 2022-01-26 10:35:18,205:INFO:Uploading model into container now
  13653. 2022-01-26 10:35:18,205:INFO:create_model_container: 11
  13654. 2022-01-26 10:35:18,205:INFO:master_model_container: 11
  13655. 2022-01-26 10:35:18,206:INFO:display_container: 2
  13656. 2022-01-26 10:35:18,206:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  13657. solver='svd', store_covariance=False, tol=0.0001)
  13658. 2022-01-26 10:35:18,206:INFO:create_model() succesfully completed......................................
  13659. 2022-01-26 10:35:18,289:INFO:SubProcess create_model() end ==================================
  13660. 2022-01-26 10:35:18,289:INFO:Creating metrics dataframe
  13661. 2022-01-26 10:35:18,302:INFO:Initializing Extra Trees Classifier
  13662. 2022-01-26 10:35:18,302:INFO:Total runtime is 1.3515202363332115 minutes
  13663. 2022-01-26 10:35:18,307:INFO:SubProcess create_model() called ==================================
  13664. 2022-01-26 10:35:18,308:INFO:Initializing create_model()
  13665. 2022-01-26 10:35:18,308:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13666. 2022-01-26 10:35:18,308:INFO:Checking exceptions
  13667. 2022-01-26 10:35:18,308:INFO:Importing libraries
  13668. 2022-01-26 10:35:18,308:INFO:Copying training dataset
  13669. 2022-01-26 10:35:18,310:INFO:Defining folds
  13670. 2022-01-26 10:35:18,310:INFO:Declaring metric variables
  13671. 2022-01-26 10:35:18,315:INFO:Importing untrained model
  13672. 2022-01-26 10:35:18,319:INFO:Extra Trees Classifier Imported succesfully
  13673. 2022-01-26 10:35:18,330:INFO:Starting cross validation
  13674. 2022-01-26 10:35:18,331:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13675. 2022-01-26 10:35:25,476:INFO:Calculating mean and std
  13676. 2022-01-26 10:35:25,477:INFO:Creating metrics dataframe
  13677. 2022-01-26 10:35:25,480:INFO:Uploading results into container
  13678. 2022-01-26 10:35:25,480:INFO:Uploading model into container now
  13679. 2022-01-26 10:35:25,480:INFO:create_model_container: 12
  13680. 2022-01-26 10:35:25,480:INFO:master_model_container: 12
  13681. 2022-01-26 10:35:25,480:INFO:display_container: 2
  13682. 2022-01-26 10:35:25,481:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13683. criterion='gini', max_depth=None, max_features='auto',
  13684. max_leaf_nodes=None, max_samples=None,
  13685. min_impurity_decrease=0.0, min_impurity_split=None,
  13686. min_samples_leaf=1, min_samples_split=2,
  13687. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13688. oob_score=False, random_state=4851, verbose=0,
  13689. warm_start=False)
  13690. 2022-01-26 10:35:25,481:INFO:create_model() succesfully completed......................................
  13691. 2022-01-26 10:35:25,551:INFO:SubProcess create_model() end ==================================
  13692. 2022-01-26 10:35:25,552:INFO:Creating metrics dataframe
  13693. 2022-01-26 10:35:25,565:INFO:Initializing Light Gradient Boosting Machine
  13694. 2022-01-26 10:35:25,565:INFO:Total runtime is 1.4725696206092838 minutes
  13695. 2022-01-26 10:35:25,570:INFO:SubProcess create_model() called ==================================
  13696. 2022-01-26 10:35:25,571:INFO:Initializing create_model()
  13697. 2022-01-26 10:35:25,571:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13698. 2022-01-26 10:35:25,571:INFO:Checking exceptions
  13699. 2022-01-26 10:35:25,571:INFO:Importing libraries
  13700. 2022-01-26 10:35:25,571:INFO:Copying training dataset
  13701. 2022-01-26 10:35:25,573:INFO:Defining folds
  13702. 2022-01-26 10:35:25,573:INFO:Declaring metric variables
  13703. 2022-01-26 10:35:25,578:INFO:Importing untrained model
  13704. 2022-01-26 10:35:25,583:INFO:Light Gradient Boosting Machine Imported succesfully
  13705. 2022-01-26 10:35:25,594:INFO:Starting cross validation
  13706. 2022-01-26 10:35:25,594:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13707. 2022-01-26 10:35:28,844:INFO:Calculating mean and std
  13708. 2022-01-26 10:35:28,845:INFO:Creating metrics dataframe
  13709. 2022-01-26 10:35:28,848:INFO:Uploading results into container
  13710. 2022-01-26 10:35:28,848:INFO:Uploading model into container now
  13711. 2022-01-26 10:35:28,848:INFO:create_model_container: 13
  13712. 2022-01-26 10:35:28,849:INFO:master_model_container: 13
  13713. 2022-01-26 10:35:28,849:INFO:display_container: 2
  13714. 2022-01-26 10:35:28,849:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13715. importance_type='split', learning_rate=0.1, max_depth=-1,
  13716. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13717. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13718. random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13719. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  13720. 2022-01-26 10:35:28,850:INFO:create_model() succesfully completed......................................
  13721. 2022-01-26 10:35:28,917:INFO:SubProcess create_model() end ==================================
  13722. 2022-01-26 10:35:28,917:INFO:Creating metrics dataframe
  13723. 2022-01-26 10:35:28,931:INFO:Initializing Dummy Classifier
  13724. 2022-01-26 10:35:28,931:INFO:Total runtime is 1.5286695639292402 minutes
  13725. 2022-01-26 10:35:28,936:INFO:SubProcess create_model() called ==================================
  13726. 2022-01-26 10:35:28,936:INFO:Initializing create_model()
  13727. 2022-01-26 10:35:28,937:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13728. 2022-01-26 10:35:28,937:INFO:Checking exceptions
  13729. 2022-01-26 10:35:28,937:INFO:Importing libraries
  13730. 2022-01-26 10:35:28,937:INFO:Copying training dataset
  13731. 2022-01-26 10:35:28,939:INFO:Defining folds
  13732. 2022-01-26 10:35:28,939:INFO:Declaring metric variables
  13733. 2022-01-26 10:35:28,944:INFO:Importing untrained model
  13734. 2022-01-26 10:35:28,948:INFO:Dummy Classifier Imported succesfully
  13735. 2022-01-26 10:35:28,959:INFO:Starting cross validation
  13736. 2022-01-26 10:35:28,959:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13737. 2022-01-26 10:35:29,074:INFO:Calculating mean and std
  13738. 2022-01-26 10:35:29,075:INFO:Creating metrics dataframe
  13739. 2022-01-26 10:35:29,077:INFO:Uploading results into container
  13740. 2022-01-26 10:35:29,077:INFO:Uploading model into container now
  13741. 2022-01-26 10:35:29,078:INFO:create_model_container: 14
  13742. 2022-01-26 10:35:29,078:INFO:master_model_container: 14
  13743. 2022-01-26 10:35:29,078:INFO:display_container: 2
  13744. 2022-01-26 10:35:29,078:INFO:DummyClassifier(constant=None, random_state=4851, strategy='prior')
  13745. 2022-01-26 10:35:29,079:INFO:create_model() succesfully completed......................................
  13746. 2022-01-26 10:35:29,151:INFO:SubProcess create_model() end ==================================
  13747. 2022-01-26 10:35:29,151:INFO:Creating metrics dataframe
  13748. 2022-01-26 10:35:29,178:INFO:Initializing create_model()
  13749. 2022-01-26 10:35:29,178:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13750. criterion='gini', max_depth=None, max_features='auto',
  13751. max_leaf_nodes=None, max_samples=None,
  13752. min_impurity_decrease=0.0, min_impurity_split=None,
  13753. min_samples_leaf=1, min_samples_split=2,
  13754. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13755. oob_score=False, random_state=4851, verbose=0,
  13756. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13757. 2022-01-26 10:35:29,178:INFO:Checking exceptions
  13758. 2022-01-26 10:35:29,178:INFO:Importing libraries
  13759. 2022-01-26 10:35:29,179:INFO:Copying training dataset
  13760. 2022-01-26 10:35:29,180:INFO:Defining folds
  13761. 2022-01-26 10:35:29,180:INFO:Declaring metric variables
  13762. 2022-01-26 10:35:29,180:INFO:Importing untrained model
  13763. 2022-01-26 10:35:29,180:INFO:Declaring custom model
  13764. 2022-01-26 10:35:29,181:INFO:Extra Trees Classifier Imported succesfully
  13765. 2022-01-26 10:35:29,181:INFO:Cross validation set to False
  13766. 2022-01-26 10:35:29,181:INFO:Fitting Model
  13767. 2022-01-26 10:35:29,517:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13768. criterion='gini', max_depth=None, max_features='auto',
  13769. max_leaf_nodes=None, max_samples=None,
  13770. min_impurity_decrease=0.0, min_impurity_split=None,
  13771. min_samples_leaf=1, min_samples_split=2,
  13772. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13773. oob_score=False, random_state=4851, verbose=0,
  13774. warm_start=False)
  13775. 2022-01-26 10:35:29,517:INFO:create_models() succesfully completed......................................
  13776. 2022-01-26 10:35:29,595:INFO:Initializing create_model()
  13777. 2022-01-26 10:35:29,595:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13778. criterion='gini', max_depth=None, max_features='auto',
  13779. max_leaf_nodes=None, max_samples=None,
  13780. min_impurity_decrease=0.0, min_impurity_split=None,
  13781. min_samples_leaf=1, min_samples_split=2,
  13782. min_weight_fraction_leaf=0.0, n_estimators=100,
  13783. n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
  13784. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13785. 2022-01-26 10:35:29,595:INFO:Checking exceptions
  13786. 2022-01-26 10:35:29,595:INFO:Importing libraries
  13787. 2022-01-26 10:35:29,595:INFO:Copying training dataset
  13788. 2022-01-26 10:35:29,596:INFO:Defining folds
  13789. 2022-01-26 10:35:29,596:INFO:Declaring metric variables
  13790. 2022-01-26 10:35:29,597:INFO:Importing untrained model
  13791. 2022-01-26 10:35:29,597:INFO:Declaring custom model
  13792. 2022-01-26 10:35:29,597:INFO:Random Forest Classifier Imported succesfully
  13793. 2022-01-26 10:35:29,598:INFO:Cross validation set to False
  13794. 2022-01-26 10:35:29,598:INFO:Fitting Model
  13795. 2022-01-26 10:35:29,982:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13796. criterion='gini', max_depth=None, max_features='auto',
  13797. max_leaf_nodes=None, max_samples=None,
  13798. min_impurity_decrease=0.0, min_impurity_split=None,
  13799. min_samples_leaf=1, min_samples_split=2,
  13800. min_weight_fraction_leaf=0.0, n_estimators=100,
  13801. n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
  13802. warm_start=False)
  13803. 2022-01-26 10:35:29,983:INFO:create_models() succesfully completed......................................
  13804. 2022-01-26 10:35:30,057:INFO:Initializing create_model()
  13805. 2022-01-26 10:35:30,057:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13806. importance_type='split', learning_rate=0.1, max_depth=-1,
  13807. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13808. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13809. random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13810. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13811. 2022-01-26 10:35:30,057:INFO:Checking exceptions
  13812. 2022-01-26 10:35:30,057:INFO:Importing libraries
  13813. 2022-01-26 10:35:30,058:INFO:Copying training dataset
  13814. 2022-01-26 10:35:30,059:INFO:Defining folds
  13815. 2022-01-26 10:35:30,059:INFO:Declaring metric variables
  13816. 2022-01-26 10:35:30,059:INFO:Importing untrained model
  13817. 2022-01-26 10:35:30,059:INFO:Declaring custom model
  13818. 2022-01-26 10:35:30,060:INFO:Light Gradient Boosting Machine Imported succesfully
  13819. 2022-01-26 10:35:30,060:INFO:Cross validation set to False
  13820. 2022-01-26 10:35:30,060:INFO:Fitting Model
  13821. 2022-01-26 10:35:30,399:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13822. importance_type='split', learning_rate=0.1, max_depth=-1,
  13823. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13824. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13825. random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13826. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  13827. 2022-01-26 10:35:30,400:INFO:create_models() succesfully completed......................................
  13828. 2022-01-26 10:35:30,471:INFO:Initializing create_model()
  13829. 2022-01-26 10:35:30,472:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13830. max_depth=None, max_features=None, max_leaf_nodes=None,
  13831. min_impurity_decrease=0.0, min_impurity_split=None,
  13832. min_samples_leaf=1, min_samples_split=2,
  13833. min_weight_fraction_leaf=0.0, presort='deprecated',
  13834. random_state=4851, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13835. 2022-01-26 10:35:30,472:INFO:Checking exceptions
  13836. 2022-01-26 10:35:30,472:INFO:Importing libraries
  13837. 2022-01-26 10:35:30,472:INFO:Copying training dataset
  13838. 2022-01-26 10:35:30,473:INFO:Defining folds
  13839. 2022-01-26 10:35:30,473:INFO:Declaring metric variables
  13840. 2022-01-26 10:35:30,473:INFO:Importing untrained model
  13841. 2022-01-26 10:35:30,474:INFO:Declaring custom model
  13842. 2022-01-26 10:35:30,474:INFO:Decision Tree Classifier Imported succesfully
  13843. 2022-01-26 10:35:30,474:INFO:Cross validation set to False
  13844. 2022-01-26 10:35:30,474:INFO:Fitting Model
  13845. 2022-01-26 10:35:30,635:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13846. max_depth=None, max_features=None, max_leaf_nodes=None,
  13847. min_impurity_decrease=0.0, min_impurity_split=None,
  13848. min_samples_leaf=1, min_samples_split=2,
  13849. min_weight_fraction_leaf=0.0, presort='deprecated',
  13850. random_state=4851, splitter='best')
  13851. 2022-01-26 10:35:30,635:INFO:create_models() succesfully completed......................................
  13852. 2022-01-26 10:35:30,708:INFO:Initializing create_model()
  13853. 2022-01-26 10:35:30,708:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13854. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13855. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13856. 2022-01-26 10:35:30,708:INFO:Checking exceptions
  13857. 2022-01-26 10:35:30,708:INFO:Importing libraries
  13858. 2022-01-26 10:35:30,709:INFO:Copying training dataset
  13859. 2022-01-26 10:35:30,710:INFO:Defining folds
  13860. 2022-01-26 10:35:30,710:INFO:Declaring metric variables
  13861. 2022-01-26 10:35:30,710:INFO:Importing untrained model
  13862. 2022-01-26 10:35:30,710:INFO:Declaring custom model
  13863. 2022-01-26 10:35:30,710:INFO:K Neighbors Classifier Imported succesfully
  13864. 2022-01-26 10:35:30,711:INFO:Cross validation set to False
  13865. 2022-01-26 10:35:30,711:INFO:Fitting Model
  13866. 2022-01-26 10:35:31,482:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13867. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13868. weights='uniform')
  13869. 2022-01-26 10:35:31,482:INFO:create_models() succesfully completed......................................
  13870. 2022-01-26 10:35:31,557:INFO:Initializing create_model()
  13871. 2022-01-26 10:35:31,558:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13872. learning_rate=0.1, loss='deviance', max_depth=3,
  13873. max_features=None, max_leaf_nodes=None,
  13874. min_impurity_decrease=0.0, min_impurity_split=None,
  13875. min_samples_leaf=1, min_samples_split=2,
  13876. min_weight_fraction_leaf=0.0, n_estimators=100,
  13877. n_iter_no_change=None, presort='deprecated',
  13878. random_state=4851, subsample=1.0, tol=0.0001,
  13879. validation_fraction=0.1, verbose=0,
  13880. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13881. 2022-01-26 10:35:31,558:INFO:Checking exceptions
  13882. 2022-01-26 10:35:31,558:INFO:Importing libraries
  13883. 2022-01-26 10:35:31,558:INFO:Copying training dataset
  13884. 2022-01-26 10:35:31,559:INFO:Defining folds
  13885. 2022-01-26 10:35:31,560:INFO:Declaring metric variables
  13886. 2022-01-26 10:35:31,560:INFO:Importing untrained model
  13887. 2022-01-26 10:35:31,560:INFO:Declaring custom model
  13888. 2022-01-26 10:35:31,560:INFO:Gradient Boosting Classifier Imported succesfully
  13889. 2022-01-26 10:35:31,561:INFO:Cross validation set to False
  13890. 2022-01-26 10:35:31,561:INFO:Fitting Model
  13891. 2022-01-26 10:35:35,011:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13892. learning_rate=0.1, loss='deviance', max_depth=3,
  13893. max_features=None, max_leaf_nodes=None,
  13894. min_impurity_decrease=0.0, min_impurity_split=None,
  13895. min_samples_leaf=1, min_samples_split=2,
  13896. min_weight_fraction_leaf=0.0, n_estimators=100,
  13897. n_iter_no_change=None, presort='deprecated',
  13898. random_state=4851, subsample=1.0, tol=0.0001,
  13899. validation_fraction=0.1, verbose=0,
  13900. warm_start=False)
  13901. 2022-01-26 10:35:35,012:INFO:create_models() succesfully completed......................................
  13902. 2022-01-26 10:35:35,104:INFO:create_model_container: 14
  13903. 2022-01-26 10:35:35,104:INFO:master_model_container: 14
  13904. 2022-01-26 10:35:35,105:INFO:display_container: 2
  13905. 2022-01-26 10:35:35,106:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13906. criterion='gini', max_depth=None, max_features='auto',
  13907. max_leaf_nodes=None, max_samples=None,
  13908. min_impurity_decrease=0.0, min_impurity_split=None,
  13909. min_samples_leaf=1, min_samples_split=2,
  13910. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13911. oob_score=False, random_state=4851, verbose=0,
  13912. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13913. criterion='gini', max_depth=None, max_features='auto',
  13914. max_leaf_nodes=None, max_samples=None,
  13915. min_impurity_decrease=0.0, min_impurity_split=None,
  13916. min_samples_leaf=1, min_samples_split=2,
  13917. min_weight_fraction_leaf=0.0, n_estimators=100,
  13918. n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
  13919. warm_start=False), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13920. importance_type='split', learning_rate=0.1, max_depth=-1,
  13921. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13922. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13923. random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13924. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13925. max_depth=None, max_features=None, max_leaf_nodes=None,
  13926. min_impurity_decrease=0.0, min_impurity_split=None,
  13927. min_samples_leaf=1, min_samples_split=2,
  13928. min_weight_fraction_leaf=0.0, presort='deprecated',
  13929. random_state=4851, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13930. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13931. weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13932. learning_rate=0.1, loss='deviance', max_depth=3,
  13933. max_features=None, max_leaf_nodes=None,
  13934. min_impurity_decrease=0.0, min_impurity_split=None,
  13935. min_samples_leaf=1, min_samples_split=2,
  13936. min_weight_fraction_leaf=0.0, n_estimators=100,
  13937. n_iter_no_change=None, presort='deprecated',
  13938. random_state=4851, subsample=1.0, tol=0.0001,
  13939. validation_fraction=0.1, verbose=0,
  13940. warm_start=False)]
  13941. 2022-01-26 10:35:35,106:INFO:compare_models() succesfully completed......................................
  13942. 2022-01-26 11:16:49,076:INFO:PyCaret Supervised Module
  13943. 2022-01-26 11:16:49,076:INFO:ML Usecase: classification
  13944. 2022-01-26 11:16:49,076:INFO:version 2.3.6
  13945. 2022-01-26 11:16:49,077:INFO:Initializing setup()
  13946. 2022-01-26 11:16:49,077:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  13947. 2022-01-26 11:16:49,077:INFO:Checking environment
  13948. 2022-01-26 11:16:49,077:INFO:python_version: 3.8.8
  13949. 2022-01-26 11:16:49,077:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  13950. 2022-01-26 11:16:49,077:INFO:machine: x86_64
  13951. 2022-01-26 11:16:49,078:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  13952. 2022-01-26 11:16:49,078:INFO:Memory: svmem(total=33619935232, available=27010174976, percent=19.7, used=5754216448, free=24000958464, active=1617952768, inactive=7318257664, buffers=999944192, cached=2864816128, shared=383635456, slab=329428992)
  13953. 2022-01-26 11:16:49,078:INFO:Physical Core: 16
  13954. 2022-01-26 11:16:49,079:INFO:Logical Core: 32
  13955. 2022-01-26 11:16:49,079:INFO:Checking libraries
  13956. 2022-01-26 11:16:49,079:INFO:pd==1.2.4
  13957. 2022-01-26 11:16:49,079:INFO:numpy==1.19.5
  13958. 2022-01-26 11:16:49,079:INFO:sklearn==0.23.2
  13959. 2022-01-26 11:16:49,079:INFO:lightgbm==3.3.2
  13960. 2022-01-26 11:16:49,080:WARNING:catboost not found
  13961. 2022-01-26 11:16:49,080:WARNING:xgboost not found
  13962. 2022-01-26 11:16:49,081:INFO:mlflow==1.22.0
  13963. 2022-01-26 11:16:49,081:INFO:Checking Exceptions
  13964. 2022-01-26 11:16:49,081:INFO:Declaring global variables
  13965. 2022-01-26 11:16:49,081:INFO:USI: 0901
  13966. 2022-01-26 11:16:49,081:INFO:pycaret_globals: {'create_model_container', 'fold_generator', 'n_jobs_param', 'y_test', '_ml_usecase', 'imputation_classifier', 'log_plots_param', 'transform_target_method_param', '_internal_pipeline', 'fix_imbalance_method_param', '_all_models_internal', 'stratify_param', 'seed', 'experiment__', 'master_model_container', 'X_test', '_all_metrics', 'html_param', 'logging_param', 'y', 'gpu_param', 'prep_pipe', 'fold_param', 'data_before_preprocess', 'target_param', '_all_models', 'transform_target_param', 'display_container', 'fold_groups_param', 'USI', 'pycaret_globals', 'fold_groups_param_full', '_available_plots', 'y_train', 'iterative_imputation_iters_param', 'imputation_regressor', 'fold_shuffle_param', 'X', 'fix_imbalance_param', 'X_train', '_gpu_n_jobs_param', 'exp_name_log'}
  13967. 2022-01-26 11:16:49,081:INFO:Preparing display monitor
  13968. 2022-01-26 11:16:49,081:INFO:Preparing display monitor
  13969. 2022-01-26 11:16:49,090:INFO:Importing libraries
  13970. 2022-01-26 11:16:49,090:INFO:Copying data for preprocessing
  13971. 2022-01-26 11:16:49,096:INFO:Declaring preprocessing parameters
  13972. 2022-01-26 11:16:49,097:WARNING:cuML not found
  13973. 2022-01-26 11:16:49,097:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  13974. 2022-01-26 11:16:49,099:INFO:Creating preprocessing pipeline
  13975. 2022-01-26 11:16:49,146:INFO:Preprocessing pipeline created successfully
  13976. 2022-01-26 11:16:49,146:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  13977. 2022-01-26 11:16:49,147:INFO:Creating global containers
  13978. 2022-01-26 11:16:49,147:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  13979. 2022-01-26 11:16:51,131:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  13980. 2022-01-26 11:16:51,161:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  13981. 2022-01-26 11:16:51,162:WARNING:Couldn't import cuml.MBSGDClassifier
  13982. 2022-01-26 11:16:51,162:WARNING:Couldn't import cuml.svm.SVC
  13983. 2022-01-26 11:16:51,178:WARNING:Couldn't import cuml.linear_model
  13984. 2022-01-26 11:16:51,181:WARNING:Couldn't import cuml.ensemble
  13985. 2022-01-26 11:16:51,182:WARNING:Couldn't import xgboost.XGBClassifier
  13986. 2022-01-26 11:16:51,193:WARNING:Couldn't import catboost.CatBoostClassifier
  13987. 2022-01-26 11:16:51,194:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  13988. 2022-01-26 11:16:51,225:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  13989. 2022-01-26 11:16:51,226:WARNING:Couldn't import cuml.MBSGDClassifier
  13990. 2022-01-26 11:16:51,227:WARNING:Couldn't import cuml.svm.SVC
  13991. 2022-01-26 11:16:51,242:WARNING:Couldn't import cuml.linear_model
  13992. 2022-01-26 11:16:51,246:WARNING:Couldn't import cuml.ensemble
  13993. 2022-01-26 11:16:51,247:WARNING:Couldn't import xgboost.XGBClassifier
  13994. 2022-01-26 11:16:51,251:WARNING:Couldn't import catboost.CatBoostClassifier
  13995. 2022-01-26 11:16:51,252:INFO:Creating grid variables
  13996. 2022-01-26 11:16:51,263:INFO:create_model_container: 0
  13997. 2022-01-26 11:16:51,264:INFO:master_model_container: 0
  13998. 2022-01-26 11:16:51,264:INFO:display_container: 1
  13999. 2022-01-26 11:16:51,267:INFO:Pipeline(memory=None,
  14000. steps=[('dtypes',
  14001. DataTypes_Auto_infer(categorical_features=[],
  14002. display_types=True, features_todrop=[],
  14003. id_columns=[],
  14004. ml_usecase='classification',
  14005. numerical_features=[], target='label',
  14006. time_features=[])),
  14007. ('imputer',
  14008. Simple_Imputer(categorical_strategy='not_available',
  14009. fill_value_categorical=None,
  14010. fill_value_numerical=None,
  14011. numeric_strate...
  14012. target='label')),
  14013. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14014. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14015. ('dummy', Dummify(target='label')),
  14016. ('fix_perfect', Remove_100(target='label')),
  14017. ('clean_names', Clean_Colum_Names()),
  14018. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14019. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14020. verbose=False)
  14021. 2022-01-26 11:16:51,267:INFO:setup() succesfully completed......................................
  14022. 2022-01-26 11:16:59,004:INFO:Initializing compare_models()
  14023. 2022-01-26 11:16:59,004:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  14024. 2022-01-26 11:16:59,004:INFO:Checking exceptions
  14025. 2022-01-26 11:16:59,005:INFO:Preparing display monitor
  14026. 2022-01-26 11:16:59,006:INFO:Preparing display monitor
  14027. 2022-01-26 11:16:59,023:INFO:Initializing Logistic Regression
  14028. 2022-01-26 11:16:59,023:INFO:Total runtime is 5.316734313964844e-06 minutes
  14029. 2022-01-26 11:16:59,028:INFO:SubProcess create_model() called ==================================
  14030. 2022-01-26 11:16:59,029:INFO:Initializing create_model()
  14031. 2022-01-26 11:16:59,029:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14032. 2022-01-26 11:16:59,029:INFO:Checking exceptions
  14033. 2022-01-26 11:16:59,029:INFO:Importing libraries
  14034. 2022-01-26 11:16:59,029:INFO:Copying training dataset
  14035. 2022-01-26 11:16:59,030:INFO:Defining folds
  14036. 2022-01-26 11:16:59,030:INFO:Declaring metric variables
  14037. 2022-01-26 11:16:59,035:INFO:Importing untrained model
  14038. 2022-01-26 11:16:59,040:INFO:Logistic Regression Imported succesfully
  14039. 2022-01-26 11:16:59,051:INFO:Starting cross validation
  14040. 2022-01-26 11:16:59,052:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14041. 2022-01-26 11:17:04,419:INFO:Calculating mean and std
  14042. 2022-01-26 11:17:04,420:INFO:Creating metrics dataframe
  14043. 2022-01-26 11:17:04,425:INFO:Uploading results into container
  14044. 2022-01-26 11:17:04,426:INFO:Uploading model into container now
  14045. 2022-01-26 11:17:04,426:INFO:create_model_container: 1
  14046. 2022-01-26 11:17:04,426:INFO:master_model_container: 1
  14047. 2022-01-26 11:17:04,426:INFO:display_container: 2
  14048. 2022-01-26 11:17:04,427:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  14049. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  14050. multi_class='auto', n_jobs=None, penalty='l2',
  14051. random_state=6208, solver='lbfgs', tol=0.0001, verbose=0,
  14052. warm_start=False)
  14053. 2022-01-26 11:17:04,427:INFO:create_model() succesfully completed......................................
  14054. 2022-01-26 11:17:04,510:INFO:SubProcess create_model() end ==================================
  14055. 2022-01-26 11:17:04,510:INFO:Creating metrics dataframe
  14056. 2022-01-26 11:17:04,520:INFO:Initializing K Neighbors Classifier
  14057. 2022-01-26 11:17:04,520:INFO:Total runtime is 0.09162770907084147 minutes
  14058. 2022-01-26 11:17:04,526:INFO:SubProcess create_model() called ==================================
  14059. 2022-01-26 11:17:04,526:INFO:Initializing create_model()
  14060. 2022-01-26 11:17:04,527:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14061. 2022-01-26 11:17:04,527:INFO:Checking exceptions
  14062. 2022-01-26 11:17:04,527:INFO:Importing libraries
  14063. 2022-01-26 11:17:04,527:INFO:Copying training dataset
  14064. 2022-01-26 11:17:04,528:INFO:Defining folds
  14065. 2022-01-26 11:17:04,528:INFO:Declaring metric variables
  14066. 2022-01-26 11:17:04,534:INFO:Importing untrained model
  14067. 2022-01-26 11:17:04,539:INFO:K Neighbors Classifier Imported succesfully
  14068. 2022-01-26 11:17:04,550:INFO:Starting cross validation
  14069. 2022-01-26 11:17:04,550:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14070. 2022-01-26 11:17:17,138:INFO:Calculating mean and std
  14071. 2022-01-26 11:17:17,139:INFO:Creating metrics dataframe
  14072. 2022-01-26 11:17:17,142:INFO:Uploading results into container
  14073. 2022-01-26 11:17:17,142:INFO:Uploading model into container now
  14074. 2022-01-26 11:17:17,142:INFO:create_model_container: 2
  14075. 2022-01-26 11:17:17,142:INFO:master_model_container: 2
  14076. 2022-01-26 11:17:17,143:INFO:display_container: 2
  14077. 2022-01-26 11:17:17,143:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  14078. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  14079. weights='uniform')
  14080. 2022-01-26 11:17:17,143:INFO:create_model() succesfully completed......................................
  14081. 2022-01-26 11:17:17,226:INFO:SubProcess create_model() end ==================================
  14082. 2022-01-26 11:17:17,227:INFO:Creating metrics dataframe
  14083. 2022-01-26 11:17:17,238:INFO:Initializing Naive Bayes
  14084. 2022-01-26 11:17:17,238:INFO:Total runtime is 0.30358940760294595 minutes
  14085. 2022-01-26 11:17:17,244:INFO:SubProcess create_model() called ==================================
  14086. 2022-01-26 11:17:17,245:INFO:Initializing create_model()
  14087. 2022-01-26 11:17:17,245:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14088. 2022-01-26 11:17:17,245:INFO:Checking exceptions
  14089. 2022-01-26 11:17:17,245:INFO:Importing libraries
  14090. 2022-01-26 11:17:17,246:INFO:Copying training dataset
  14091. 2022-01-26 11:17:17,247:INFO:Defining folds
  14092. 2022-01-26 11:17:17,247:INFO:Declaring metric variables
  14093. 2022-01-26 11:17:17,253:INFO:Importing untrained model
  14094. 2022-01-26 11:17:17,258:INFO:Naive Bayes Imported succesfully
  14095. 2022-01-26 11:17:17,269:INFO:Starting cross validation
  14096. 2022-01-26 11:17:17,269:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14097. 2022-01-26 11:17:17,455:INFO:Calculating mean and std
  14098. 2022-01-26 11:17:17,456:INFO:Creating metrics dataframe
  14099. 2022-01-26 11:17:17,458:INFO:Uploading results into container
  14100. 2022-01-26 11:17:17,459:INFO:Uploading model into container now
  14101. 2022-01-26 11:17:17,459:INFO:create_model_container: 3
  14102. 2022-01-26 11:17:17,459:INFO:master_model_container: 3
  14103. 2022-01-26 11:17:17,459:INFO:display_container: 2
  14104. 2022-01-26 11:17:17,460:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  14105. 2022-01-26 11:17:17,460:INFO:create_model() succesfully completed......................................
  14106. 2022-01-26 11:17:17,526:INFO:SubProcess create_model() end ==================================
  14107. 2022-01-26 11:17:17,526:INFO:Creating metrics dataframe
  14108. 2022-01-26 11:17:17,537:INFO:Initializing Decision Tree Classifier
  14109. 2022-01-26 11:17:17,537:INFO:Total runtime is 0.30857091347376503 minutes
  14110. 2022-01-26 11:17:17,542:INFO:SubProcess create_model() called ==================================
  14111. 2022-01-26 11:17:17,543:INFO:Initializing create_model()
  14112. 2022-01-26 11:17:17,543:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14113. 2022-01-26 11:17:17,543:INFO:Checking exceptions
  14114. 2022-01-26 11:17:17,543:INFO:Importing libraries
  14115. 2022-01-26 11:17:17,543:INFO:Copying training dataset
  14116. 2022-01-26 11:17:17,544:INFO:Defining folds
  14117. 2022-01-26 11:17:17,544:INFO:Declaring metric variables
  14118. 2022-01-26 11:17:17,549:INFO:Importing untrained model
  14119. 2022-01-26 11:17:17,554:INFO:Decision Tree Classifier Imported succesfully
  14120. 2022-01-26 11:17:17,565:INFO:Starting cross validation
  14121. 2022-01-26 11:17:17,565:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14122. 2022-01-26 11:17:18,622:INFO:Calculating mean and std
  14123. 2022-01-26 11:17:18,623:INFO:Creating metrics dataframe
  14124. 2022-01-26 11:17:18,625:INFO:Uploading results into container
  14125. 2022-01-26 11:17:18,625:INFO:Uploading model into container now
  14126. 2022-01-26 11:17:18,626:INFO:create_model_container: 4
  14127. 2022-01-26 11:17:18,626:INFO:master_model_container: 4
  14128. 2022-01-26 11:17:18,626:INFO:display_container: 2
  14129. 2022-01-26 11:17:18,626:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  14130. max_depth=None, max_features=None, max_leaf_nodes=None,
  14131. min_impurity_decrease=0.0, min_impurity_split=None,
  14132. min_samples_leaf=1, min_samples_split=2,
  14133. min_weight_fraction_leaf=0.0, presort='deprecated',
  14134. random_state=6208, splitter='best')
  14135. 2022-01-26 11:17:18,627:INFO:create_model() succesfully completed......................................
  14136. 2022-01-26 11:17:18,705:INFO:SubProcess create_model() end ==================================
  14137. 2022-01-26 11:17:18,705:INFO:Creating metrics dataframe
  14138. 2022-01-26 11:17:18,717:INFO:Initializing SVM - Linear Kernel
  14139. 2022-01-26 11:17:18,717:INFO:Total runtime is 0.3282352526982625 minutes
  14140. 2022-01-26 11:17:18,722:INFO:SubProcess create_model() called ==================================
  14141. 2022-01-26 11:17:18,722:INFO:Initializing create_model()
  14142. 2022-01-26 11:17:18,723:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14143. 2022-01-26 11:17:18,723:INFO:Checking exceptions
  14144. 2022-01-26 11:17:18,723:INFO:Importing libraries
  14145. 2022-01-26 11:17:18,723:INFO:Copying training dataset
  14146. 2022-01-26 11:17:18,724:INFO:Defining folds
  14147. 2022-01-26 11:17:18,724:INFO:Declaring metric variables
  14148. 2022-01-26 11:17:18,730:INFO:Importing untrained model
  14149. 2022-01-26 11:17:18,735:INFO:SVM - Linear Kernel Imported succesfully
  14150. 2022-01-26 11:17:18,745:INFO:Starting cross validation
  14151. 2022-01-26 11:17:18,746:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14152. 2022-01-26 11:17:19,762:INFO:Calculating mean and std
  14153. 2022-01-26 11:17:19,763:INFO:Creating metrics dataframe
  14154. 2022-01-26 11:17:19,768:INFO:Uploading results into container
  14155. 2022-01-26 11:17:19,768:INFO:Uploading model into container now
  14156. 2022-01-26 11:17:19,769:INFO:create_model_container: 5
  14157. 2022-01-26 11:17:19,770:INFO:master_model_container: 5
  14158. 2022-01-26 11:17:19,771:INFO:display_container: 2
  14159. 2022-01-26 11:17:19,772:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  14160. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  14161. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  14162. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  14163. power_t=0.5, random_state=6208, shuffle=True, tol=0.001,
  14164. validation_fraction=0.1, verbose=0, warm_start=False)
  14165. 2022-01-26 11:17:19,774:INFO:create_model() succesfully completed......................................
  14166. 2022-01-26 11:17:19,865:INFO:SubProcess create_model() end ==================================
  14167. 2022-01-26 11:17:19,865:INFO:Creating metrics dataframe
  14168. 2022-01-26 11:17:19,876:INFO:Initializing Ridge Classifier
  14169. 2022-01-26 11:17:19,876:INFO:Total runtime is 0.34756100575129184 minutes
  14170. 2022-01-26 11:17:19,882:INFO:SubProcess create_model() called ==================================
  14171. 2022-01-26 11:17:19,882:INFO:Initializing create_model()
  14172. 2022-01-26 11:17:19,882:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14173. 2022-01-26 11:17:19,883:INFO:Checking exceptions
  14174. 2022-01-26 11:17:19,883:INFO:Importing libraries
  14175. 2022-01-26 11:17:19,883:INFO:Copying training dataset
  14176. 2022-01-26 11:17:19,884:INFO:Defining folds
  14177. 2022-01-26 11:17:19,884:INFO:Declaring metric variables
  14178. 2022-01-26 11:17:19,889:INFO:Importing untrained model
  14179. 2022-01-26 11:17:19,894:INFO:Ridge Classifier Imported succesfully
  14180. 2022-01-26 11:17:19,905:INFO:Starting cross validation
  14181. 2022-01-26 11:17:19,905:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14182. 2022-01-26 11:17:20,206:INFO:Calculating mean and std
  14183. 2022-01-26 11:17:20,208:INFO:Creating metrics dataframe
  14184. 2022-01-26 11:17:20,213:INFO:Uploading results into container
  14185. 2022-01-26 11:17:20,213:INFO:Uploading model into container now
  14186. 2022-01-26 11:17:20,215:INFO:create_model_container: 6
  14187. 2022-01-26 11:17:20,215:INFO:master_model_container: 6
  14188. 2022-01-26 11:17:20,215:INFO:display_container: 2
  14189. 2022-01-26 11:17:20,216:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  14190. max_iter=None, normalize=False, random_state=6208,
  14191. solver='auto', tol=0.001)
  14192. 2022-01-26 11:17:20,217:INFO:create_model() succesfully completed......................................
  14193. 2022-01-26 11:17:20,304:INFO:SubProcess create_model() end ==================================
  14194. 2022-01-26 11:17:20,304:INFO:Creating metrics dataframe
  14195. 2022-01-26 11:17:20,317:INFO:Initializing Random Forest Classifier
  14196. 2022-01-26 11:17:20,317:INFO:Total runtime is 0.3549059748649597 minutes
  14197. 2022-01-26 11:17:20,323:INFO:SubProcess create_model() called ==================================
  14198. 2022-01-26 11:17:20,324:INFO:Initializing create_model()
  14199. 2022-01-26 11:17:20,324:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14200. 2022-01-26 11:17:20,324:INFO:Checking exceptions
  14201. 2022-01-26 11:17:20,324:INFO:Importing libraries
  14202. 2022-01-26 11:17:20,324:INFO:Copying training dataset
  14203. 2022-01-26 11:17:20,326:INFO:Defining folds
  14204. 2022-01-26 11:17:20,326:INFO:Declaring metric variables
  14205. 2022-01-26 11:17:20,332:INFO:Importing untrained model
  14206. 2022-01-26 11:17:20,337:INFO:Random Forest Classifier Imported succesfully
  14207. 2022-01-26 11:17:20,348:INFO:Starting cross validation
  14208. 2022-01-26 11:17:20,349:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14209. 2022-01-26 11:17:26,934:INFO:Calculating mean and std
  14210. 2022-01-26 11:17:26,935:INFO:Creating metrics dataframe
  14211. 2022-01-26 11:17:26,938:INFO:Uploading results into container
  14212. 2022-01-26 11:17:26,938:INFO:Uploading model into container now
  14213. 2022-01-26 11:17:26,938:INFO:create_model_container: 7
  14214. 2022-01-26 11:17:26,939:INFO:master_model_container: 7
  14215. 2022-01-26 11:17:26,939:INFO:display_container: 2
  14216. 2022-01-26 11:17:26,939:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  14217. criterion='gini', max_depth=None, max_features='auto',
  14218. max_leaf_nodes=None, max_samples=None,
  14219. min_impurity_decrease=0.0, min_impurity_split=None,
  14220. min_samples_leaf=1, min_samples_split=2,
  14221. min_weight_fraction_leaf=0.0, n_estimators=100,
  14222. n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
  14223. warm_start=False)
  14224. 2022-01-26 11:17:26,939:INFO:create_model() succesfully completed......................................
  14225. 2022-01-26 11:17:27,020:INFO:SubProcess create_model() end ==================================
  14226. 2022-01-26 11:17:27,020:INFO:Creating metrics dataframe
  14227. 2022-01-26 11:17:27,032:INFO:Initializing Quadratic Discriminant Analysis
  14228. 2022-01-26 11:17:27,032:INFO:Total runtime is 0.46681727965672803 minutes
  14229. 2022-01-26 11:17:27,037:INFO:SubProcess create_model() called ==================================
  14230. 2022-01-26 11:17:27,037:INFO:Initializing create_model()
  14231. 2022-01-26 11:17:27,038:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14232. 2022-01-26 11:17:27,038:INFO:Checking exceptions
  14233. 2022-01-26 11:17:27,038:INFO:Importing libraries
  14234. 2022-01-26 11:17:27,038:INFO:Copying training dataset
  14235. 2022-01-26 11:17:27,039:INFO:Defining folds
  14236. 2022-01-26 11:17:27,039:INFO:Declaring metric variables
  14237. 2022-01-26 11:17:27,044:INFO:Importing untrained model
  14238. 2022-01-26 11:17:27,049:INFO:Quadratic Discriminant Analysis Imported succesfully
  14239. 2022-01-26 11:17:27,060:INFO:Starting cross validation
  14240. 2022-01-26 11:17:27,061:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14241. 2022-01-26 11:17:27,594:INFO:Calculating mean and std
  14242. 2022-01-26 11:17:27,595:INFO:Creating metrics dataframe
  14243. 2022-01-26 11:17:27,603:INFO:Uploading results into container
  14244. 2022-01-26 11:17:27,603:INFO:Uploading model into container now
  14245. 2022-01-26 11:17:27,604:INFO:create_model_container: 8
  14246. 2022-01-26 11:17:27,604:INFO:master_model_container: 8
  14247. 2022-01-26 11:17:27,605:INFO:display_container: 2
  14248. 2022-01-26 11:17:27,606:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  14249. store_covariance=False, tol=0.0001)
  14250. 2022-01-26 11:17:27,606:INFO:create_model() succesfully completed......................................
  14251. 2022-01-26 11:17:27,685:INFO:SubProcess create_model() end ==================================
  14252. 2022-01-26 11:17:27,686:INFO:Creating metrics dataframe
  14253. 2022-01-26 11:17:27,697:INFO:Initializing Ada Boost Classifier
  14254. 2022-01-26 11:17:27,698:INFO:Total runtime is 0.477915334701538 minutes
  14255. 2022-01-26 11:17:27,703:INFO:SubProcess create_model() called ==================================
  14256. 2022-01-26 11:17:27,703:INFO:Initializing create_model()
  14257. 2022-01-26 11:17:27,703:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14258. 2022-01-26 11:17:27,704:INFO:Checking exceptions
  14259. 2022-01-26 11:17:27,704:INFO:Importing libraries
  14260. 2022-01-26 11:17:27,704:INFO:Copying training dataset
  14261. 2022-01-26 11:17:27,705:INFO:Defining folds
  14262. 2022-01-26 11:17:27,705:INFO:Declaring metric variables
  14263. 2022-01-26 11:17:27,710:INFO:Importing untrained model
  14264. 2022-01-26 11:17:27,715:INFO:Ada Boost Classifier Imported succesfully
  14265. 2022-01-26 11:17:27,725:INFO:Starting cross validation
  14266. 2022-01-26 11:17:27,726:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14267. 2022-01-26 11:17:35,012:INFO:Calculating mean and std
  14268. 2022-01-26 11:17:35,013:INFO:Creating metrics dataframe
  14269. 2022-01-26 11:17:35,015:INFO:Uploading results into container
  14270. 2022-01-26 11:17:35,015:INFO:Uploading model into container now
  14271. 2022-01-26 11:17:35,016:INFO:create_model_container: 9
  14272. 2022-01-26 11:17:35,016:INFO:master_model_container: 9
  14273. 2022-01-26 11:17:35,016:INFO:display_container: 2
  14274. 2022-01-26 11:17:35,016:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  14275. n_estimators=50, random_state=6208)
  14276. 2022-01-26 11:17:35,016:INFO:create_model() succesfully completed......................................
  14277. 2022-01-26 11:17:35,085:INFO:SubProcess create_model() end ==================================
  14278. 2022-01-26 11:17:35,085:INFO:Creating metrics dataframe
  14279. 2022-01-26 11:17:35,097:INFO:Initializing Gradient Boosting Classifier
  14280. 2022-01-26 11:17:35,097:INFO:Total runtime is 0.6012375831604003 minutes
  14281. 2022-01-26 11:17:35,102:INFO:SubProcess create_model() called ==================================
  14282. 2022-01-26 11:17:35,103:INFO:Initializing create_model()
  14283. 2022-01-26 11:17:35,103:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14284. 2022-01-26 11:17:35,103:INFO:Checking exceptions
  14285. 2022-01-26 11:17:35,103:INFO:Importing libraries
  14286. 2022-01-26 11:17:35,103:INFO:Copying training dataset
  14287. 2022-01-26 11:17:35,104:INFO:Defining folds
  14288. 2022-01-26 11:17:35,105:INFO:Declaring metric variables
  14289. 2022-01-26 11:17:35,110:INFO:Importing untrained model
  14290. 2022-01-26 11:17:35,116:INFO:Gradient Boosting Classifier Imported succesfully
  14291. 2022-01-26 11:17:35,126:INFO:Starting cross validation
  14292. 2022-01-26 11:17:35,127:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14293. 2022-01-26 11:18:01,620:INFO:Calculating mean and std
  14294. 2022-01-26 11:18:01,621:INFO:Creating metrics dataframe
  14295. 2022-01-26 11:18:01,624:INFO:Uploading results into container
  14296. 2022-01-26 11:18:01,624:INFO:Uploading model into container now
  14297. 2022-01-26 11:18:01,624:INFO:create_model_container: 10
  14298. 2022-01-26 11:18:01,624:INFO:master_model_container: 10
  14299. 2022-01-26 11:18:01,625:INFO:display_container: 2
  14300. 2022-01-26 11:18:01,625:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  14301. learning_rate=0.1, loss='deviance', max_depth=3,
  14302. max_features=None, max_leaf_nodes=None,
  14303. min_impurity_decrease=0.0, min_impurity_split=None,
  14304. min_samples_leaf=1, min_samples_split=2,
  14305. min_weight_fraction_leaf=0.0, n_estimators=100,
  14306. n_iter_no_change=None, presort='deprecated',
  14307. random_state=6208, subsample=1.0, tol=0.0001,
  14308. validation_fraction=0.1, verbose=0,
  14309. warm_start=False)
  14310. 2022-01-26 11:18:01,626:INFO:create_model() succesfully completed......................................
  14311. 2022-01-26 11:18:01,701:INFO:SubProcess create_model() end ==================================
  14312. 2022-01-26 11:18:01,701:INFO:Creating metrics dataframe
  14313. 2022-01-26 11:18:01,714:INFO:Initializing Linear Discriminant Analysis
  14314. 2022-01-26 11:18:01,714:INFO:Total runtime is 1.0448512911796568 minutes
  14315. 2022-01-26 11:18:01,719:INFO:SubProcess create_model() called ==================================
  14316. 2022-01-26 11:18:01,719:INFO:Initializing create_model()
  14317. 2022-01-26 11:18:01,720:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14318. 2022-01-26 11:18:01,720:INFO:Checking exceptions
  14319. 2022-01-26 11:18:01,720:INFO:Importing libraries
  14320. 2022-01-26 11:18:01,720:INFO:Copying training dataset
  14321. 2022-01-26 11:18:01,721:INFO:Defining folds
  14322. 2022-01-26 11:18:01,722:INFO:Declaring metric variables
  14323. 2022-01-26 11:18:01,727:INFO:Importing untrained model
  14324. 2022-01-26 11:18:01,732:INFO:Linear Discriminant Analysis Imported succesfully
  14325. 2022-01-26 11:18:01,742:INFO:Starting cross validation
  14326. 2022-01-26 11:18:01,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14327. 2022-01-26 11:18:03,060:INFO:Calculating mean and std
  14328. 2022-01-26 11:18:03,062:INFO:Creating metrics dataframe
  14329. 2022-01-26 11:18:03,068:INFO:Uploading results into container
  14330. 2022-01-26 11:18:03,068:INFO:Uploading model into container now
  14331. 2022-01-26 11:18:03,069:INFO:create_model_container: 11
  14332. 2022-01-26 11:18:03,069:INFO:master_model_container: 11
  14333. 2022-01-26 11:18:03,070:INFO:display_container: 2
  14334. 2022-01-26 11:18:03,071:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  14335. solver='svd', store_covariance=False, tol=0.0001)
  14336. 2022-01-26 11:18:03,072:INFO:create_model() succesfully completed......................................
  14337. 2022-01-26 11:18:03,171:INFO:SubProcess create_model() end ==================================
  14338. 2022-01-26 11:18:03,171:INFO:Creating metrics dataframe
  14339. 2022-01-26 11:18:03,184:INFO:Initializing Extra Trees Classifier
  14340. 2022-01-26 11:18:03,184:INFO:Total runtime is 1.0693549036979673 minutes
  14341. 2022-01-26 11:18:03,189:INFO:SubProcess create_model() called ==================================
  14342. 2022-01-26 11:18:03,190:INFO:Initializing create_model()
  14343. 2022-01-26 11:18:03,190:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14344. 2022-01-26 11:18:03,190:INFO:Checking exceptions
  14345. 2022-01-26 11:18:03,190:INFO:Importing libraries
  14346. 2022-01-26 11:18:03,190:INFO:Copying training dataset
  14347. 2022-01-26 11:18:03,191:INFO:Defining folds
  14348. 2022-01-26 11:18:03,191:INFO:Declaring metric variables
  14349. 2022-01-26 11:18:03,197:INFO:Importing untrained model
  14350. 2022-01-26 11:18:03,202:INFO:Extra Trees Classifier Imported succesfully
  14351. 2022-01-26 11:18:03,212:INFO:Starting cross validation
  14352. 2022-01-26 11:18:03,213:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14353. 2022-01-26 11:18:10,156:INFO:Calculating mean and std
  14354. 2022-01-26 11:18:10,157:INFO:Creating metrics dataframe
  14355. 2022-01-26 11:18:10,160:INFO:Uploading results into container
  14356. 2022-01-26 11:18:10,160:INFO:Uploading model into container now
  14357. 2022-01-26 11:18:10,160:INFO:create_model_container: 12
  14358. 2022-01-26 11:18:10,160:INFO:master_model_container: 12
  14359. 2022-01-26 11:18:10,161:INFO:display_container: 2
  14360. 2022-01-26 11:18:10,161:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  14361. criterion='gini', max_depth=None, max_features='auto',
  14362. max_leaf_nodes=None, max_samples=None,
  14363. min_impurity_decrease=0.0, min_impurity_split=None,
  14364. min_samples_leaf=1, min_samples_split=2,
  14365. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  14366. oob_score=False, random_state=6208, verbose=0,
  14367. warm_start=False)
  14368. 2022-01-26 11:18:10,161:INFO:create_model() succesfully completed......................................
  14369. 2022-01-26 11:18:10,232:INFO:SubProcess create_model() end ==================================
  14370. 2022-01-26 11:18:10,232:INFO:Creating metrics dataframe
  14371. 2022-01-26 11:18:10,245:INFO:Initializing Light Gradient Boosting Machine
  14372. 2022-01-26 11:18:10,245:INFO:Total runtime is 1.1870358864466346 minutes
  14373. 2022-01-26 11:18:10,250:INFO:SubProcess create_model() called ==================================
  14374. 2022-01-26 11:18:10,251:INFO:Initializing create_model()
  14375. 2022-01-26 11:18:10,251:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14376. 2022-01-26 11:18:10,251:INFO:Checking exceptions
  14377. 2022-01-26 11:18:10,251:INFO:Importing libraries
  14378. 2022-01-26 11:18:10,252:INFO:Copying training dataset
  14379. 2022-01-26 11:18:10,253:INFO:Defining folds
  14380. 2022-01-26 11:18:10,253:INFO:Declaring metric variables
  14381. 2022-01-26 11:18:10,257:INFO:Importing untrained model
  14382. 2022-01-26 11:18:10,262:INFO:Light Gradient Boosting Machine Imported succesfully
  14383. 2022-01-26 11:18:10,273:INFO:Starting cross validation
  14384. 2022-01-26 11:18:10,274:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14385. 2022-01-26 11:18:13,268:INFO:Calculating mean and std
  14386. 2022-01-26 11:18:13,269:INFO:Creating metrics dataframe
  14387. 2022-01-26 11:18:13,271:INFO:Uploading results into container
  14388. 2022-01-26 11:18:13,271:INFO:Uploading model into container now
  14389. 2022-01-26 11:18:13,271:INFO:create_model_container: 13
  14390. 2022-01-26 11:18:13,271:INFO:master_model_container: 13
  14391. 2022-01-26 11:18:13,272:INFO:display_container: 2
  14392. 2022-01-26 11:18:13,272:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  14393. importance_type='split', learning_rate=0.1, max_depth=-1,
  14394. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  14395. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  14396. random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  14397. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  14398. 2022-01-26 11:18:13,272:INFO:create_model() succesfully completed......................................
  14399. 2022-01-26 11:18:13,342:INFO:SubProcess create_model() end ==================================
  14400. 2022-01-26 11:18:13,342:INFO:Creating metrics dataframe
  14401. 2022-01-26 11:18:13,355:INFO:Initializing Dummy Classifier
  14402. 2022-01-26 11:18:13,355:INFO:Total runtime is 1.2388765295346575 minutes
  14403. 2022-01-26 11:18:13,361:INFO:SubProcess create_model() called ==================================
  14404. 2022-01-26 11:18:13,361:INFO:Initializing create_model()
  14405. 2022-01-26 11:18:13,362:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14406. 2022-01-26 11:18:13,362:INFO:Checking exceptions
  14407. 2022-01-26 11:18:13,362:INFO:Importing libraries
  14408. 2022-01-26 11:18:13,362:INFO:Copying training dataset
  14409. 2022-01-26 11:18:13,363:INFO:Defining folds
  14410. 2022-01-26 11:18:13,363:INFO:Declaring metric variables
  14411. 2022-01-26 11:18:13,368:INFO:Importing untrained model
  14412. 2022-01-26 11:18:13,373:INFO:Dummy Classifier Imported succesfully
  14413. 2022-01-26 11:18:13,384:INFO:Starting cross validation
  14414. 2022-01-26 11:18:13,384:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14415. 2022-01-26 11:18:13,491:INFO:Calculating mean and std
  14416. 2022-01-26 11:18:13,492:INFO:Creating metrics dataframe
  14417. 2022-01-26 11:18:13,495:INFO:Uploading results into container
  14418. 2022-01-26 11:18:13,495:INFO:Uploading model into container now
  14419. 2022-01-26 11:18:13,495:INFO:create_model_container: 14
  14420. 2022-01-26 11:18:13,495:INFO:master_model_container: 14
  14421. 2022-01-26 11:18:13,495:INFO:display_container: 2
  14422. 2022-01-26 11:18:13,496:INFO:DummyClassifier(constant=None, random_state=6208, strategy='prior')
  14423. 2022-01-26 11:18:13,496:INFO:create_model() succesfully completed......................................
  14424. 2022-01-26 11:18:13,577:INFO:SubProcess create_model() end ==================================
  14425. 2022-01-26 11:18:13,577:INFO:Creating metrics dataframe
  14426. 2022-01-26 11:18:13,604:INFO:Initializing create_model()
  14427. 2022-01-26 11:18:13,604:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  14428. criterion='gini', max_depth=None, max_features='auto',
  14429. max_leaf_nodes=None, max_samples=None,
  14430. min_impurity_decrease=0.0, min_impurity_split=None,
  14431. min_samples_leaf=1, min_samples_split=2,
  14432. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  14433. oob_score=False, random_state=6208, verbose=0,
  14434. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14435. 2022-01-26 11:18:13,604:INFO:Checking exceptions
  14436. 2022-01-26 11:18:13,604:INFO:Importing libraries
  14437. 2022-01-26 11:18:13,605:INFO:Copying training dataset
  14438. 2022-01-26 11:18:13,605:INFO:Defining folds
  14439. 2022-01-26 11:18:13,606:INFO:Declaring metric variables
  14440. 2022-01-26 11:18:13,606:INFO:Importing untrained model
  14441. 2022-01-26 11:18:13,606:INFO:Declaring custom model
  14442. 2022-01-26 11:18:13,607:INFO:Extra Trees Classifier Imported succesfully
  14443. 2022-01-26 11:18:13,607:INFO:Cross validation set to False
  14444. 2022-01-26 11:18:13,607:INFO:Fitting Model
  14445. 2022-01-26 11:18:13,937:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  14446. criterion='gini', max_depth=None, max_features='auto',
  14447. max_leaf_nodes=None, max_samples=None,
  14448. min_impurity_decrease=0.0, min_impurity_split=None,
  14449. min_samples_leaf=1, min_samples_split=2,
  14450. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  14451. oob_score=False, random_state=6208, verbose=0,
  14452. warm_start=False)
  14453. 2022-01-26 11:18:13,937:INFO:create_models() succesfully completed......................................
  14454. 2022-01-26 11:18:14,008:INFO:Initializing create_model()
  14455. 2022-01-26 11:18:14,009:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  14456. criterion='gini', max_depth=None, max_features='auto',
  14457. max_leaf_nodes=None, max_samples=None,
  14458. min_impurity_decrease=0.0, min_impurity_split=None,
  14459. min_samples_leaf=1, min_samples_split=2,
  14460. min_weight_fraction_leaf=0.0, n_estimators=100,
  14461. n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
  14462. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14463. 2022-01-26 11:18:14,009:INFO:Checking exceptions
  14464. 2022-01-26 11:18:14,009:INFO:Importing libraries
  14465. 2022-01-26 11:18:14,009:INFO:Copying training dataset
  14466. 2022-01-26 11:18:14,010:INFO:Defining folds
  14467. 2022-01-26 11:18:14,010:INFO:Declaring metric variables
  14468. 2022-01-26 11:18:14,010:INFO:Importing untrained model
  14469. 2022-01-26 11:18:14,011:INFO:Declaring custom model
  14470. 2022-01-26 11:18:14,011:INFO:Random Forest Classifier Imported succesfully
  14471. 2022-01-26 11:18:14,011:INFO:Cross validation set to False
  14472. 2022-01-26 11:18:14,012:INFO:Fitting Model
  14473. 2022-01-26 11:18:14,378:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  14474. criterion='gini', max_depth=None, max_features='auto',
  14475. max_leaf_nodes=None, max_samples=None,
  14476. min_impurity_decrease=0.0, min_impurity_split=None,
  14477. min_samples_leaf=1, min_samples_split=2,
  14478. min_weight_fraction_leaf=0.0, n_estimators=100,
  14479. n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
  14480. warm_start=False)
  14481. 2022-01-26 11:18:14,378:INFO:create_models() succesfully completed......................................
  14482. 2022-01-26 11:18:14,455:INFO:Initializing create_model()
  14483. 2022-01-26 11:18:14,455:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  14484. importance_type='split', learning_rate=0.1, max_depth=-1,
  14485. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  14486. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  14487. random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  14488. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14489. 2022-01-26 11:18:14,455:INFO:Checking exceptions
  14490. 2022-01-26 11:18:14,456:INFO:Importing libraries
  14491. 2022-01-26 11:18:14,456:INFO:Copying training dataset
  14492. 2022-01-26 11:18:14,457:INFO:Defining folds
  14493. 2022-01-26 11:18:14,457:INFO:Declaring metric variables
  14494. 2022-01-26 11:18:14,457:INFO:Importing untrained model
  14495. 2022-01-26 11:18:14,457:INFO:Declaring custom model
  14496. 2022-01-26 11:18:14,457:INFO:Light Gradient Boosting Machine Imported succesfully
  14497. 2022-01-26 11:18:14,458:INFO:Cross validation set to False
  14498. 2022-01-26 11:18:14,458:INFO:Fitting Model
  14499. 2022-01-26 11:18:14,709:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  14500. importance_type='split', learning_rate=0.1, max_depth=-1,
  14501. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  14502. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  14503. random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  14504. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  14505. 2022-01-26 11:18:14,709:INFO:create_models() succesfully completed......................................
  14506. 2022-01-26 11:18:14,785:INFO:Initializing create_model()
  14507. 2022-01-26 11:18:14,785:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  14508. max_depth=None, max_features=None, max_leaf_nodes=None,
  14509. min_impurity_decrease=0.0, min_impurity_split=None,
  14510. min_samples_leaf=1, min_samples_split=2,
  14511. min_weight_fraction_leaf=0.0, presort='deprecated',
  14512. random_state=6208, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14513. 2022-01-26 11:18:14,785:INFO:Checking exceptions
  14514. 2022-01-26 11:18:14,786:INFO:Importing libraries
  14515. 2022-01-26 11:18:14,786:INFO:Copying training dataset
  14516. 2022-01-26 11:18:14,786:INFO:Defining folds
  14517. 2022-01-26 11:18:14,787:INFO:Declaring metric variables
  14518. 2022-01-26 11:18:14,787:INFO:Importing untrained model
  14519. 2022-01-26 11:18:14,787:INFO:Declaring custom model
  14520. 2022-01-26 11:18:14,787:INFO:Decision Tree Classifier Imported succesfully
  14521. 2022-01-26 11:18:14,788:INFO:Cross validation set to False
  14522. 2022-01-26 11:18:14,788:INFO:Fitting Model
  14523. 2022-01-26 11:18:14,890:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  14524. max_depth=None, max_features=None, max_leaf_nodes=None,
  14525. min_impurity_decrease=0.0, min_impurity_split=None,
  14526. min_samples_leaf=1, min_samples_split=2,
  14527. min_weight_fraction_leaf=0.0, presort='deprecated',
  14528. random_state=6208, splitter='best')
  14529. 2022-01-26 11:18:14,890:INFO:create_models() succesfully completed......................................
  14530. 2022-01-26 11:18:14,978:INFO:Initializing create_model()
  14531. 2022-01-26 11:18:14,978:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  14532. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  14533. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14534. 2022-01-26 11:18:14,978:INFO:Checking exceptions
  14535. 2022-01-26 11:18:14,979:INFO:Importing libraries
  14536. 2022-01-26 11:18:14,979:INFO:Copying training dataset
  14537. 2022-01-26 11:18:14,979:INFO:Defining folds
  14538. 2022-01-26 11:18:14,979:INFO:Declaring metric variables
  14539. 2022-01-26 11:18:14,980:INFO:Importing untrained model
  14540. 2022-01-26 11:18:14,980:INFO:Declaring custom model
  14541. 2022-01-26 11:18:14,980:INFO:K Neighbors Classifier Imported succesfully
  14542. 2022-01-26 11:18:14,981:INFO:Cross validation set to False
  14543. 2022-01-26 11:18:14,981:INFO:Fitting Model
  14544. 2022-01-26 11:18:15,731:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  14545. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  14546. weights='uniform')
  14547. 2022-01-26 11:18:15,732:INFO:create_models() succesfully completed......................................
  14548. 2022-01-26 11:18:15,805:INFO:Initializing create_model()
  14549. 2022-01-26 11:18:15,805:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  14550. learning_rate=0.1, loss='deviance', max_depth=3,
  14551. max_features=None, max_leaf_nodes=None,
  14552. min_impurity_decrease=0.0, min_impurity_split=None,
  14553. min_samples_leaf=1, min_samples_split=2,
  14554. min_weight_fraction_leaf=0.0, n_estimators=100,
  14555. n_iter_no_change=None, presort='deprecated',
  14556. random_state=6208, subsample=1.0, tol=0.0001,
  14557. validation_fraction=0.1, verbose=0,
  14558. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14559. 2022-01-26 11:18:15,806:INFO:Checking exceptions
  14560. 2022-01-26 11:18:15,806:INFO:Importing libraries
  14561. 2022-01-26 11:18:15,806:INFO:Copying training dataset
  14562. 2022-01-26 11:18:15,806:INFO:Defining folds
  14563. 2022-01-26 11:18:15,807:INFO:Declaring metric variables
  14564. 2022-01-26 11:18:15,807:INFO:Importing untrained model
  14565. 2022-01-26 11:18:15,807:INFO:Declaring custom model
  14566. 2022-01-26 11:18:15,807:INFO:Gradient Boosting Classifier Imported succesfully
  14567. 2022-01-26 11:18:15,808:INFO:Cross validation set to False
  14568. 2022-01-26 11:18:15,808:INFO:Fitting Model
  14569. 2022-01-26 11:18:18,766:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  14570. learning_rate=0.1, loss='deviance', max_depth=3,
  14571. max_features=None, max_leaf_nodes=None,
  14572. min_impurity_decrease=0.0, min_impurity_split=None,
  14573. min_samples_leaf=1, min_samples_split=2,
  14574. min_weight_fraction_leaf=0.0, n_estimators=100,
  14575. n_iter_no_change=None, presort='deprecated',
  14576. random_state=6208, subsample=1.0, tol=0.0001,
  14577. validation_fraction=0.1, verbose=0,
  14578. warm_start=False)
  14579. 2022-01-26 11:18:18,767:INFO:create_models() succesfully completed......................................
  14580. 2022-01-26 11:18:18,872:INFO:create_model_container: 14
  14581. 2022-01-26 11:18:18,873:INFO:master_model_container: 14
  14582. 2022-01-26 11:18:18,873:INFO:display_container: 2
  14583. 2022-01-26 11:18:18,874:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  14584. criterion='gini', max_depth=None, max_features='auto',
  14585. max_leaf_nodes=None, max_samples=None,
  14586. min_impurity_decrease=0.0, min_impurity_split=None,
  14587. min_samples_leaf=1, min_samples_split=2,
  14588. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  14589. oob_score=False, random_state=6208, verbose=0,
  14590. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  14591. criterion='gini', max_depth=None, max_features='auto',
  14592. max_leaf_nodes=None, max_samples=None,
  14593. min_impurity_decrease=0.0, min_impurity_split=None,
  14594. min_samples_leaf=1, min_samples_split=2,
  14595. min_weight_fraction_leaf=0.0, n_estimators=100,
  14596. n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
  14597. warm_start=False), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  14598. importance_type='split', learning_rate=0.1, max_depth=-1,
  14599. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  14600. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  14601. random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  14602. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  14603. max_depth=None, max_features=None, max_leaf_nodes=None,
  14604. min_impurity_decrease=0.0, min_impurity_split=None,
  14605. min_samples_leaf=1, min_samples_split=2,
  14606. min_weight_fraction_leaf=0.0, presort='deprecated',
  14607. random_state=6208, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  14608. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  14609. weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  14610. learning_rate=0.1, loss='deviance', max_depth=3,
  14611. max_features=None, max_leaf_nodes=None,
  14612. min_impurity_decrease=0.0, min_impurity_split=None,
  14613. min_samples_leaf=1, min_samples_split=2,
  14614. min_weight_fraction_leaf=0.0, n_estimators=100,
  14615. n_iter_no_change=None, presort='deprecated',
  14616. random_state=6208, subsample=1.0, tol=0.0001,
  14617. validation_fraction=0.1, verbose=0,
  14618. warm_start=False)]
  14619. 2022-01-26 11:18:18,874:INFO:compare_models() succesfully completed......................................
  14620. 2022-01-26 13:16:01,191:INFO:PyCaret Supervised Module
  14621. 2022-01-26 13:16:01,191:INFO:ML Usecase: classification
  14622. 2022-01-26 13:16:01,192:INFO:version 2.3.6
  14623. 2022-01-26 13:16:01,192:INFO:Initializing setup()
  14624. 2022-01-26 13:16:01,192:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  14625. 2022-01-26 13:16:01,192:INFO:Checking environment
  14626. 2022-01-26 13:16:01,193:INFO:python_version: 3.8.8
  14627. 2022-01-26 13:16:01,193:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  14628. 2022-01-26 13:16:01,193:INFO:machine: x86_64
  14629. 2022-01-26 13:16:01,193:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  14630. 2022-01-26 13:16:01,193:INFO:Memory: svmem(total=33619935232, available=27812626432, percent=17.3, used=4950999040, free=24056307712, active=1623891968, inactive=7239864320, buffers=1002676224, cached=3609952256, shared=383635456, slab=349773824)
  14631. 2022-01-26 13:16:01,194:INFO:Physical Core: 16
  14632. 2022-01-26 13:16:01,195:INFO:Logical Core: 32
  14633. 2022-01-26 13:16:01,195:INFO:Checking libraries
  14634. 2022-01-26 13:16:01,195:INFO:pd==1.2.4
  14635. 2022-01-26 13:16:01,195:INFO:numpy==1.19.5
  14636. 2022-01-26 13:16:01,195:INFO:sklearn==0.23.2
  14637. 2022-01-26 13:16:01,196:INFO:lightgbm==3.3.2
  14638. 2022-01-26 13:16:01,196:WARNING:catboost not found
  14639. 2022-01-26 13:16:01,207:INFO:xgboost==1.5.2
  14640. 2022-01-26 13:16:01,337:INFO:mlflow==1.22.0
  14641. 2022-01-26 13:16:01,337:INFO:Checking Exceptions
  14642. 2022-01-26 13:16:01,338:INFO:Declaring global variables
  14643. 2022-01-26 13:16:01,338:INFO:USI: 4809
  14644. 2022-01-26 13:16:01,338:INFO:pycaret_globals: {'exp_name_log', 'seed', 'gpu_param', 'stratify_param', 'prep_pipe', 'transform_target_method_param', 'fold_generator', 'logging_param', 'experiment__', 'fold_groups_param_full', '_gpu_n_jobs_param', 'y', '_all_metrics', 'y_train', '_available_plots', 'imputation_regressor', 'y_test', 'X_test', 'display_container', '_ml_usecase', 'target_param', 'fold_param', 'X_train', 'pycaret_globals', 'X', 'master_model_container', 'log_plots_param', 'iterative_imputation_iters_param', '_all_models_internal', '_internal_pipeline', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param', 'fix_imbalance_param', 'USI', 'transform_target_param', 'fix_imbalance_method_param', 'html_param', 'n_jobs_param', 'create_model_container', 'imputation_classifier', '_all_models'}
  14645. 2022-01-26 13:16:01,338:INFO:Preparing display monitor
  14646. 2022-01-26 13:16:01,338:INFO:Preparing display monitor
  14647. 2022-01-26 13:16:01,348:INFO:Importing libraries
  14648. 2022-01-26 13:16:01,349:INFO:Copying data for preprocessing
  14649. 2022-01-26 13:16:01,355:INFO:Declaring preprocessing parameters
  14650. 2022-01-26 13:16:01,356:WARNING:cuML not found
  14651. 2022-01-26 13:16:01,356:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  14652. 2022-01-26 13:16:01,360:INFO:Creating preprocessing pipeline
  14653. 2022-01-26 13:16:01,409:INFO:Preprocessing pipeline created successfully
  14654. 2022-01-26 13:16:01,409:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  14655. 2022-01-26 13:16:01,409:INFO:Creating global containers
  14656. 2022-01-26 13:16:01,410:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  14657. 2022-01-26 13:16:03,310:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14658. 2022-01-26 13:16:03,340:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14659. 2022-01-26 13:16:03,341:WARNING:Couldn't import cuml.MBSGDClassifier
  14660. 2022-01-26 13:16:03,342:WARNING:Couldn't import cuml.svm.SVC
  14661. 2022-01-26 13:16:03,359:WARNING:Couldn't import cuml.linear_model
  14662. 2022-01-26 13:16:03,363:WARNING:Couldn't import cuml.ensemble
  14663. 2022-01-26 13:16:03,374:WARNING:Couldn't import catboost.CatBoostClassifier
  14664. 2022-01-26 13:16:03,375:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14665. 2022-01-26 13:16:03,407:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14666. 2022-01-26 13:16:03,408:WARNING:Couldn't import cuml.MBSGDClassifier
  14667. 2022-01-26 13:16:03,409:WARNING:Couldn't import cuml.svm.SVC
  14668. 2022-01-26 13:16:03,424:WARNING:Couldn't import cuml.linear_model
  14669. 2022-01-26 13:16:03,428:WARNING:Couldn't import cuml.ensemble
  14670. 2022-01-26 13:16:03,437:WARNING:Couldn't import catboost.CatBoostClassifier
  14671. 2022-01-26 13:16:03,437:INFO:Creating grid variables
  14672. 2022-01-26 13:16:03,450:INFO:create_model_container: 0
  14673. 2022-01-26 13:16:03,450:INFO:master_model_container: 0
  14674. 2022-01-26 13:16:03,450:INFO:display_container: 1
  14675. 2022-01-26 13:16:03,453:INFO:Pipeline(memory=None,
  14676. steps=[('dtypes',
  14677. DataTypes_Auto_infer(categorical_features=[],
  14678. display_types=True, features_todrop=[],
  14679. id_columns=[],
  14680. ml_usecase='classification',
  14681. numerical_features=[], target='label',
  14682. time_features=[])),
  14683. ('imputer',
  14684. Simple_Imputer(categorical_strategy='not_available',
  14685. fill_value_categorical=None,
  14686. fill_value_numerical=None,
  14687. numeric_strate...
  14688. target='label')),
  14689. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14690. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14691. ('dummy', Dummify(target='label')),
  14692. ('fix_perfect', Remove_100(target='label')),
  14693. ('clean_names', Clean_Colum_Names()),
  14694. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14695. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14696. verbose=False)
  14697. 2022-01-26 13:16:03,453:INFO:setup() succesfully completed......................................
  14698. 2022-01-26 13:16:38,840:INFO:Initializing create_model()
  14699. 2022-01-26 13:16:38,840:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14700. 2022-01-26 13:16:38,841:INFO:Checking exceptions
  14701. 2022-01-26 13:16:38,841:INFO:Preparing display monitor
  14702. 2022-01-26 13:16:38,853:INFO:Importing libraries
  14703. 2022-01-26 13:16:38,853:INFO:Copying training dataset
  14704. 2022-01-26 13:16:38,855:INFO:Defining folds
  14705. 2022-01-26 13:16:38,855:INFO:Declaring metric variables
  14706. 2022-01-26 13:16:38,863:INFO:Importing untrained model
  14707. 2022-01-26 13:16:38,869:INFO:Extreme Gradient Boosting Imported succesfully
  14708. 2022-01-26 13:16:38,881:INFO:Starting cross validation
  14709. 2022-01-26 13:16:38,882:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14710. 2022-01-26 13:17:58,037:INFO:Calculating mean and std
  14711. 2022-01-26 13:17:58,038:INFO:Creating metrics dataframe
  14712. 2022-01-26 13:17:58,046:INFO:Finalizing model
  14713. 2022-01-26 13:18:42,822:INFO:PyCaret Supervised Module
  14714. 2022-01-26 13:18:42,822:INFO:ML Usecase: classification
  14715. 2022-01-26 13:18:42,823:INFO:version 2.3.6
  14716. 2022-01-26 13:18:42,823:INFO:Initializing setup()
  14717. 2022-01-26 13:18:42,823:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  14718. 2022-01-26 13:18:42,823:INFO:Checking environment
  14719. 2022-01-26 13:18:42,823:INFO:python_version: 3.8.8
  14720. 2022-01-26 13:18:42,823:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  14721. 2022-01-26 13:18:42,824:INFO:machine: x86_64
  14722. 2022-01-26 13:18:42,824:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  14723. 2022-01-26 13:18:42,824:INFO:Memory: svmem(total=33619935232, available=27206123520, percent=19.1, used=5496029184, free=23255310336, active=1624793088, inactive=8028012544, buffers=1003274240, cached=3865321472, shared=445108224, slab=355237888)
  14724. 2022-01-26 13:18:42,825:INFO:Physical Core: 16
  14725. 2022-01-26 13:18:42,825:INFO:Logical Core: 32
  14726. 2022-01-26 13:18:42,825:INFO:Checking libraries
  14727. 2022-01-26 13:18:42,825:INFO:pd==1.2.4
  14728. 2022-01-26 13:18:42,825:INFO:numpy==1.19.5
  14729. 2022-01-26 13:18:42,825:INFO:sklearn==0.23.2
  14730. 2022-01-26 13:18:42,825:INFO:lightgbm==3.3.2
  14731. 2022-01-26 13:18:42,826:WARNING:catboost not found
  14732. 2022-01-26 13:18:42,826:INFO:xgboost==1.5.2
  14733. 2022-01-26 13:18:42,826:INFO:mlflow==1.22.0
  14734. 2022-01-26 13:18:42,826:INFO:Checking Exceptions
  14735. 2022-01-26 13:18:42,826:INFO:Declaring global variables
  14736. 2022-01-26 13:18:42,827:INFO:USI: f139
  14737. 2022-01-26 13:18:42,827:INFO:pycaret_globals: {'exp_name_log', 'seed', 'gpu_param', 'stratify_param', 'prep_pipe', 'transform_target_method_param', 'fold_generator', 'logging_param', 'experiment__', 'fold_groups_param_full', '_gpu_n_jobs_param', 'y', '_all_metrics', 'y_train', '_available_plots', 'imputation_regressor', 'y_test', 'X_test', 'display_container', '_ml_usecase', 'target_param', 'fold_param', 'X_train', 'pycaret_globals', 'X', 'master_model_container', 'log_plots_param', 'iterative_imputation_iters_param', '_all_models_internal', '_internal_pipeline', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param', 'fix_imbalance_param', 'USI', 'transform_target_param', 'fix_imbalance_method_param', 'html_param', 'n_jobs_param', 'create_model_container', 'imputation_classifier', '_all_models'}
  14738. 2022-01-26 13:18:42,827:INFO:Preparing display monitor
  14739. 2022-01-26 13:18:42,827:INFO:Preparing display monitor
  14740. 2022-01-26 13:18:42,835:INFO:Importing libraries
  14741. 2022-01-26 13:18:42,835:INFO:Copying data for preprocessing
  14742. 2022-01-26 13:18:42,841:INFO:Declaring preprocessing parameters
  14743. 2022-01-26 13:18:42,843:INFO:Creating preprocessing pipeline
  14744. 2022-01-26 13:18:42,887:INFO:Preprocessing pipeline created successfully
  14745. 2022-01-26 13:18:42,887:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  14746. 2022-01-26 13:18:42,888:INFO:Creating global containers
  14747. 2022-01-26 13:18:42,888:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  14748. 2022-01-26 13:18:44,507:WARNING:Couldn't import catboost.CatBoostClassifier
  14749. 2022-01-26 13:18:44,556:WARNING:Couldn't import catboost.CatBoostClassifier
  14750. 2022-01-26 13:18:44,556:INFO:Creating grid variables
  14751. 2022-01-26 13:18:44,566:INFO:create_model_container: 0
  14752. 2022-01-26 13:18:44,566:INFO:master_model_container: 0
  14753. 2022-01-26 13:18:44,567:INFO:display_container: 1
  14754. 2022-01-26 13:18:44,569:INFO:Pipeline(memory=None,
  14755. steps=[('dtypes',
  14756. DataTypes_Auto_infer(categorical_features=[],
  14757. display_types=True, features_todrop=[],
  14758. id_columns=[],
  14759. ml_usecase='classification',
  14760. numerical_features=[], target='label',
  14761. time_features=[])),
  14762. ('imputer',
  14763. Simple_Imputer(categorical_strategy='not_available',
  14764. fill_value_categorical=None,
  14765. fill_value_numerical=None,
  14766. numeric_strate...
  14767. target='label')),
  14768. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14769. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14770. ('dummy', Dummify(target='label')),
  14771. ('fix_perfect', Remove_100(target='label')),
  14772. ('clean_names', Clean_Colum_Names()),
  14773. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14774. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14775. verbose=False)
  14776. 2022-01-26 13:18:44,569:INFO:setup() succesfully completed......................................
  14777. 2022-01-26 13:18:49,170:INFO:Initializing create_model()
  14778. 2022-01-26 13:18:49,170:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14779. 2022-01-26 13:18:49,171:INFO:Checking exceptions
  14780. 2022-01-26 13:18:49,171:INFO:Preparing display monitor
  14781. 2022-01-26 13:18:49,182:INFO:Importing libraries
  14782. 2022-01-26 13:18:49,182:INFO:Copying training dataset
  14783. 2022-01-26 13:18:49,183:INFO:Defining folds
  14784. 2022-01-26 13:18:49,183:INFO:Declaring metric variables
  14785. 2022-01-26 13:18:49,189:INFO:Importing untrained model
  14786. 2022-01-26 13:18:49,195:INFO:Extreme Gradient Boosting Imported succesfully
  14787. 2022-01-26 13:18:49,206:INFO:Starting cross validation
  14788. 2022-01-26 13:18:49,207:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  14789. 2022-01-26 13:27:30,798:INFO:Calculating mean and std
  14790. 2022-01-26 13:27:30,799:INFO:Creating metrics dataframe
  14791. 2022-01-26 13:27:30,809:INFO:Finalizing model
  14792. 2022-01-26 13:27:31,527:INFO:Uploading results into container
  14793. 2022-01-26 13:27:31,527:INFO:Uploading model into container now
  14794. 2022-01-26 13:27:31,538:INFO:create_model_container: 1
  14795. 2022-01-26 13:27:31,539:INFO:master_model_container: 1
  14796. 2022-01-26 13:27:31,539:INFO:display_container: 2
  14797. 2022-01-26 13:27:31,540:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  14798. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  14799. gamma=0, gpu_id=-1, importance_type=None,
  14800. interaction_constraints='', learning_rate=0.300000012,
  14801. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  14802. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  14803. num_parallel_tree=1, objective='binary:logistic',
  14804. predictor='auto', random_state=1642, reg_alpha=0, reg_lambda=1,
  14805. scale_pos_weight=1, subsample=1, tree_method='auto',
  14806. use_label_encoder=True, validate_parameters=1, verbosity=0)
  14807. 2022-01-26 13:27:31,540:INFO:create_model() succesfully completed......................................
  14808. 2022-01-26 13:28:23,554:INFO:Initializing tune_model()
  14809. 2022-01-26 13:28:23,554:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  14810. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  14811. gamma=0, gpu_id=-1, importance_type=None,
  14812. interaction_constraints='', learning_rate=0.300000012,
  14813. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  14814. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  14815. num_parallel_tree=1, objective='binary:logistic',
  14816. predictor='auto', random_state=1642, reg_alpha=0, reg_lambda=1,
  14817. scale_pos_weight=1, subsample=1, tree_method='auto',
  14818. use_label_encoder=True, validate_parameters=1, verbosity=0), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  14819. 2022-01-26 13:28:23,554:INFO:Checking exceptions
  14820. 2022-01-26 13:28:23,556:INFO:Preparing display monitor
  14821. 2022-01-26 13:28:23,569:INFO:Copying training dataset
  14822. 2022-01-26 13:28:23,572:INFO:Checking base model
  14823. 2022-01-26 13:28:23,573:INFO:Base model : Extreme Gradient Boosting
  14824. 2022-01-26 13:28:23,589:INFO:Declaring metric variables
  14825. 2022-01-26 13:28:23,596:INFO:Defining Hyperparameters
  14826. 2022-01-26 13:28:23,687:INFO:Tuning with n_jobs=-1
  14827. 2022-01-26 13:28:23,687:INFO:Initializing RandomizedSearchCV
  14828. 2022-01-26 13:55:52,606:INFO:PyCaret Supervised Module
  14829. 2022-01-26 13:55:52,606:INFO:ML Usecase: classification
  14830. 2022-01-26 13:55:52,606:INFO:version 2.3.6
  14831. 2022-01-26 13:55:52,606:INFO:Initializing setup()
  14832. 2022-01-26 13:55:52,607:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  14833. 2022-01-26 13:55:52,607:INFO:Checking environment
  14834. 2022-01-26 13:55:52,607:INFO:python_version: 3.8.8
  14835. 2022-01-26 13:55:52,607:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  14836. 2022-01-26 13:55:52,607:INFO:machine: x86_64
  14837. 2022-01-26 13:55:52,607:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  14838. 2022-01-26 13:55:52,607:INFO:Memory: svmem(total=33619935232, available=27708166144, percent=17.6, used=5055434752, free=14607204352, active=3988914176, inactive=14045073408, buffers=1019383808, cached=12937912320, shared=383660032, slab=625655808)
  14839. 2022-01-26 13:55:52,608:INFO:Physical Core: 16
  14840. 2022-01-26 13:55:52,608:INFO:Logical Core: 32
  14841. 2022-01-26 13:55:52,609:INFO:Checking libraries
  14842. 2022-01-26 13:55:52,609:INFO:pd==1.2.4
  14843. 2022-01-26 13:55:52,609:INFO:numpy==1.19.5
  14844. 2022-01-26 13:55:52,609:INFO:sklearn==0.23.2
  14845. 2022-01-26 13:55:52,609:INFO:lightgbm==3.3.2
  14846. 2022-01-26 13:55:52,610:WARNING:catboost not found
  14847. 2022-01-26 13:55:52,619:INFO:xgboost==1.5.2
  14848. 2022-01-26 13:55:52,744:INFO:mlflow==1.22.0
  14849. 2022-01-26 13:55:52,745:INFO:Checking Exceptions
  14850. 2022-01-26 13:55:52,745:INFO:Declaring global variables
  14851. 2022-01-26 13:55:52,745:INFO:USI: 074c
  14852. 2022-01-26 13:55:52,745:INFO:pycaret_globals: {'fold_groups_param', 'fold_groups_param_full', 'y_train', '_gpu_n_jobs_param', '_internal_pipeline', 'fold_shuffle_param', 'y_test', 'prep_pipe', '_ml_usecase', 'html_param', 'X_train', 'data_before_preprocess', 'seed', 'create_model_container', '_all_models_internal', 'imputation_classifier', 'experiment__', 'fold_generator', 'display_container', 'USI', 'y', 'X_test', 'n_jobs_param', 'target_param', 'gpu_param', 'exp_name_log', 'iterative_imputation_iters_param', '_available_plots', 'logging_param', 'stratify_param', 'transform_target_method_param', 'log_plots_param', 'X', 'transform_target_param', 'fix_imbalance_param', 'master_model_container', 'imputation_regressor', 'fold_param', 'pycaret_globals', 'fix_imbalance_method_param', '_all_models', '_all_metrics'}
  14853. 2022-01-26 13:55:52,745:INFO:Preparing display monitor
  14854. 2022-01-26 13:55:52,746:INFO:Preparing display monitor
  14855. 2022-01-26 13:55:52,755:INFO:Importing libraries
  14856. 2022-01-26 13:55:52,755:INFO:Copying data for preprocessing
  14857. 2022-01-26 13:55:52,761:INFO:Declaring preprocessing parameters
  14858. 2022-01-26 13:55:52,762:WARNING:cuML not found
  14859. 2022-01-26 13:55:52,762:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  14860. 2022-01-26 13:55:52,768:INFO:Creating preprocessing pipeline
  14861. 2022-01-26 13:55:52,815:INFO:Preprocessing pipeline created successfully
  14862. 2022-01-26 13:55:52,816:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  14863. 2022-01-26 13:55:52,816:INFO:Creating global containers
  14864. 2022-01-26 13:55:52,817:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  14865. 2022-01-26 13:55:54,788:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14866. 2022-01-26 13:55:54,818:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14867. 2022-01-26 13:55:54,820:WARNING:Couldn't import cuml.MBSGDClassifier
  14868. 2022-01-26 13:55:54,821:WARNING:Couldn't import cuml.svm.SVC
  14869. 2022-01-26 13:55:54,836:WARNING:Couldn't import cuml.linear_model
  14870. 2022-01-26 13:55:54,839:WARNING:Couldn't import cuml.ensemble
  14871. 2022-01-26 13:55:54,849:WARNING:Couldn't import catboost.CatBoostClassifier
  14872. 2022-01-26 13:55:54,849:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14873. 2022-01-26 13:55:54,879:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14874. 2022-01-26 13:55:54,879:WARNING:Couldn't import cuml.MBSGDClassifier
  14875. 2022-01-26 13:55:54,880:WARNING:Couldn't import cuml.svm.SVC
  14876. 2022-01-26 13:55:54,894:WARNING:Couldn't import cuml.linear_model
  14877. 2022-01-26 13:55:54,897:WARNING:Couldn't import cuml.ensemble
  14878. 2022-01-26 13:55:54,904:WARNING:Couldn't import catboost.CatBoostClassifier
  14879. 2022-01-26 13:55:54,904:INFO:Creating grid variables
  14880. 2022-01-26 13:55:54,916:INFO:create_model_container: 0
  14881. 2022-01-26 13:55:54,916:INFO:master_model_container: 0
  14882. 2022-01-26 13:55:54,916:INFO:display_container: 1
  14883. 2022-01-26 13:55:54,919:INFO:Pipeline(memory=None,
  14884. steps=[('dtypes',
  14885. DataTypes_Auto_infer(categorical_features=[],
  14886. display_types=True, features_todrop=[],
  14887. id_columns=[],
  14888. ml_usecase='classification',
  14889. numerical_features=[], target='label',
  14890. time_features=[])),
  14891. ('imputer',
  14892. Simple_Imputer(categorical_strategy='not_available',
  14893. fill_value_categorical=None,
  14894. fill_value_numerical=None,
  14895. numeric_strate...
  14896. target='label')),
  14897. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14898. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14899. ('dummy', Dummify(target='label')),
  14900. ('fix_perfect', Remove_100(target='label')),
  14901. ('clean_names', Clean_Colum_Names()),
  14902. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14903. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14904. verbose=False)
  14905. 2022-01-26 13:55:54,919:INFO:setup() succesfully completed......................................
  14906. 2022-01-26 13:56:08,045:INFO:Initializing create_model()
  14907. 2022-01-26 13:56:08,045:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14908. 2022-01-26 13:56:08,045:INFO:Checking exceptions
  14909. 2022-01-26 13:56:08,046:INFO:Preparing display monitor
  14910. 2022-01-26 13:56:08,056:INFO:Importing libraries
  14911. 2022-01-26 13:56:08,056:INFO:Copying training dataset
  14912. 2022-01-26 13:56:08,058:INFO:Defining folds
  14913. 2022-01-26 13:56:08,058:INFO:Declaring metric variables
  14914. 2022-01-26 13:56:08,063:INFO:Importing untrained model
  14915. 2022-01-26 13:56:08,068:INFO:Extreme Gradient Boosting Imported succesfully
  14916. 2022-01-26 13:56:08,078:INFO:Starting cross validation
  14917. 2022-01-26 13:56:08,079:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14918. 2022-01-26 13:56:08,880:INFO:Calculating mean and std
  14919. 2022-01-26 13:56:08,881:INFO:Creating metrics dataframe
  14920. 2022-01-26 13:56:08,889:INFO:Finalizing model
  14921. 2022-01-26 13:59:37,418:INFO:PyCaret Supervised Module
  14922. 2022-01-26 13:59:37,419:INFO:ML Usecase: classification
  14923. 2022-01-26 13:59:37,419:INFO:version 2.3.6
  14924. 2022-01-26 13:59:37,419:INFO:Initializing setup()
  14925. 2022-01-26 13:59:37,419:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  14926. 2022-01-26 13:59:37,420:INFO:Checking environment
  14927. 2022-01-26 13:59:37,420:INFO:python_version: 3.8.8
  14928. 2022-01-26 13:59:37,420:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  14929. 2022-01-26 13:59:37,420:INFO:machine: x86_64
  14930. 2022-01-26 13:59:37,420:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  14931. 2022-01-26 13:59:37,420:INFO:Memory: svmem(total=33619935232, available=27700686848, percent=17.6, used=5062914048, free=14599413760, active=4033830912, inactive=14008410112, buffers=1019535360, cached=12938072064, shared=383660032, slab=625803264)
  14932. 2022-01-26 13:59:37,421:INFO:Physical Core: 16
  14933. 2022-01-26 13:59:37,421:INFO:Logical Core: 32
  14934. 2022-01-26 13:59:37,422:INFO:Checking libraries
  14935. 2022-01-26 13:59:37,422:INFO:pd==1.2.4
  14936. 2022-01-26 13:59:37,422:INFO:numpy==1.19.5
  14937. 2022-01-26 13:59:37,422:INFO:sklearn==0.23.2
  14938. 2022-01-26 13:59:37,422:INFO:lightgbm==3.3.2
  14939. 2022-01-26 13:59:37,423:WARNING:catboost not found
  14940. 2022-01-26 13:59:37,431:INFO:xgboost==1.5.2
  14941. 2022-01-26 13:59:37,555:INFO:mlflow==1.22.0
  14942. 2022-01-26 13:59:37,556:INFO:Checking Exceptions
  14943. 2022-01-26 13:59:37,556:INFO:Declaring global variables
  14944. 2022-01-26 13:59:37,556:INFO:USI: 5282
  14945. 2022-01-26 13:59:37,556:INFO:pycaret_globals: {'USI', 'n_jobs_param', 'transform_target_param', 'data_before_preprocess', 'exp_name_log', '_all_models_internal', '_all_models', 'display_container', 'fold_param', 'X_train', '_gpu_n_jobs_param', 'experiment__', 'seed', '_internal_pipeline', 'y_train', 'X', 'fold_groups_param', '_ml_usecase', '_available_plots', 'fix_imbalance_method_param', 'X_test', 'transform_target_method_param', 'gpu_param', 'create_model_container', 'target_param', 'y', '_all_metrics', 'fold_shuffle_param', 'fold_generator', 'imputation_classifier', 'fold_groups_param_full', 'pycaret_globals', 'iterative_imputation_iters_param', 'html_param', 'logging_param', 'master_model_container', 'y_test', 'fix_imbalance_param', 'log_plots_param', 'stratify_param', 'prep_pipe', 'imputation_regressor'}
  14946. 2022-01-26 13:59:37,557:INFO:Preparing display monitor
  14947. 2022-01-26 13:59:37,557:INFO:Preparing display monitor
  14948. 2022-01-26 13:59:37,567:INFO:Importing libraries
  14949. 2022-01-26 13:59:37,567:INFO:Copying data for preprocessing
  14950. 2022-01-26 13:59:37,573:INFO:Declaring preprocessing parameters
  14951. 2022-01-26 13:59:37,574:WARNING:cuML not found
  14952. 2022-01-26 13:59:37,574:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  14953. 2022-01-26 13:59:37,578:INFO:Creating preprocessing pipeline
  14954. 2022-01-26 13:59:37,625:INFO:Preprocessing pipeline created successfully
  14955. 2022-01-26 13:59:37,625:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  14956. 2022-01-26 13:59:37,626:INFO:Creating global containers
  14957. 2022-01-26 13:59:37,627:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  14958. 2022-01-26 13:59:39,625:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14959. 2022-01-26 13:59:39,653:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14960. 2022-01-26 13:59:39,655:WARNING:Couldn't import cuml.MBSGDClassifier
  14961. 2022-01-26 13:59:39,656:WARNING:Couldn't import cuml.svm.SVC
  14962. 2022-01-26 13:59:39,671:WARNING:Couldn't import cuml.linear_model
  14963. 2022-01-26 13:59:39,674:WARNING:Couldn't import cuml.ensemble
  14964. 2022-01-26 13:59:39,683:WARNING:Couldn't import catboost.CatBoostClassifier
  14965. 2022-01-26 13:59:39,684:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14966. 2022-01-26 13:59:39,715:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14967. 2022-01-26 13:59:39,716:WARNING:Couldn't import cuml.MBSGDClassifier
  14968. 2022-01-26 13:59:39,717:WARNING:Couldn't import cuml.svm.SVC
  14969. 2022-01-26 13:59:39,730:WARNING:Couldn't import cuml.linear_model
  14970. 2022-01-26 13:59:39,734:WARNING:Couldn't import cuml.ensemble
  14971. 2022-01-26 13:59:39,740:WARNING:Couldn't import catboost.CatBoostClassifier
  14972. 2022-01-26 13:59:39,741:INFO:Creating grid variables
  14973. 2022-01-26 13:59:39,752:INFO:create_model_container: 0
  14974. 2022-01-26 13:59:39,752:INFO:master_model_container: 0
  14975. 2022-01-26 13:59:39,753:INFO:display_container: 1
  14976. 2022-01-26 13:59:39,756:INFO:Pipeline(memory=None,
  14977. steps=[('dtypes',
  14978. DataTypes_Auto_infer(categorical_features=[],
  14979. display_types=True, features_todrop=[],
  14980. id_columns=[],
  14981. ml_usecase='classification',
  14982. numerical_features=[], target='label',
  14983. time_features=[])),
  14984. ('imputer',
  14985. Simple_Imputer(categorical_strategy='not_available',
  14986. fill_value_categorical=None,
  14987. fill_value_numerical=None,
  14988. numeric_strate...
  14989. target='label')),
  14990. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14991. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14992. ('dummy', Dummify(target='label')),
  14993. ('fix_perfect', Remove_100(target='label')),
  14994. ('clean_names', Clean_Colum_Names()),
  14995. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14996. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14997. verbose=False)
  14998. 2022-01-26 13:59:39,756:INFO:setup() succesfully completed......................................
  14999. 2022-01-26 13:59:44,429:INFO:Initializing create_model()
  15000. 2022-01-26 13:59:44,429:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15001. 2022-01-26 13:59:44,430:INFO:Checking exceptions
  15002. 2022-01-26 13:59:44,430:INFO:Preparing display monitor
  15003. 2022-01-26 13:59:44,443:INFO:Importing libraries
  15004. 2022-01-26 13:59:44,443:INFO:Copying training dataset
  15005. 2022-01-26 13:59:44,444:INFO:Defining folds
  15006. 2022-01-26 13:59:44,444:INFO:Declaring metric variables
  15007. 2022-01-26 13:59:44,449:INFO:Importing untrained model
  15008. 2022-01-26 13:59:44,455:INFO:Extreme Gradient Boosting Imported succesfully
  15009. 2022-01-26 13:59:44,466:INFO:Starting cross validation
  15010. 2022-01-26 13:59:44,467:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  15011. 2022-01-26 13:59:45,233:INFO:Calculating mean and std
  15012. 2022-01-26 13:59:45,234:INFO:Creating metrics dataframe
  15013. 2022-01-26 13:59:45,243:INFO:Finalizing model
  15014. 2022-01-27 14:24:49,942:INFO:PyCaret Supervised Module
  15015. 2022-01-27 14:24:49,943:INFO:ML Usecase: classification
  15016. 2022-01-27 14:24:49,943:INFO:version 2.3.6
  15017. 2022-01-27 14:24:49,943:INFO:Initializing setup()
  15018. 2022-01-27 14:24:49,943:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  15019. 2022-01-27 14:24:49,943:INFO:Checking environment
  15020. 2022-01-27 14:24:49,944:INFO:python_version: 3.8.8
  15021. 2022-01-27 14:24:49,944:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  15022. 2022-01-27 14:24:49,944:INFO:machine: x86_64
  15023. 2022-01-27 14:24:49,944:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  15024. 2022-01-27 14:24:49,944:INFO:Memory: svmem(total=33619935232, available=27685486592, percent=17.7, used=5078106112, free=12635148288, active=4253626368, inactive=15667404800, buffers=1051262976, cached=14855417856, shared=383660032, slab=707215360)
  15025. 2022-01-27 14:24:49,945:INFO:Physical Core: 16
  15026. 2022-01-27 14:24:49,946:INFO:Logical Core: 32
  15027. 2022-01-27 14:24:49,946:INFO:Checking libraries
  15028. 2022-01-27 14:24:49,946:INFO:pd==1.2.4
  15029. 2022-01-27 14:24:49,946:INFO:numpy==1.19.5
  15030. 2022-01-27 14:24:49,946:INFO:sklearn==0.23.2
  15031. 2022-01-27 14:24:49,947:INFO:lightgbm==3.3.2
  15032. 2022-01-27 14:24:49,947:WARNING:catboost not found
  15033. 2022-01-27 14:24:49,963:INFO:xgboost==1.5.2
  15034. 2022-01-27 14:24:50,101:INFO:mlflow==1.22.0
  15035. 2022-01-27 14:24:50,102:INFO:Checking Exceptions
  15036. 2022-01-27 14:24:50,102:INFO:Declaring global variables
  15037. 2022-01-27 14:24:50,102:INFO:USI: 2cd4
  15038. 2022-01-27 14:24:50,103:INFO:pycaret_globals: {'create_model_container', 'X_train', 'y_test', 'target_param', '_all_models', 'stratify_param', 'fold_shuffle_param', 'fix_imbalance_param', '_internal_pipeline', '_ml_usecase', '_all_metrics', 'pycaret_globals', 'fix_imbalance_method_param', 'y_train', 'gpu_param', 'transform_target_method_param', 'experiment__', 'data_before_preprocess', 'n_jobs_param', 'fold_groups_param_full', 'y', 'exp_name_log', 'iterative_imputation_iters_param', 'fold_param', 'seed', 'log_plots_param', '_available_plots', 'fold_generator', '_all_models_internal', 'display_container', 'imputation_regressor', 'USI', 'X', 'X_test', 'master_model_container', '_gpu_n_jobs_param', 'imputation_classifier', 'fold_groups_param', 'prep_pipe', 'transform_target_param', 'html_param', 'logging_param'}
  15039. 2022-01-27 14:24:50,103:INFO:Preparing display monitor
  15040. 2022-01-27 14:24:50,103:INFO:Preparing display monitor
  15041. 2022-01-27 14:24:50,115:INFO:Importing libraries
  15042. 2022-01-27 14:24:50,115:INFO:Copying data for preprocessing
  15043. 2022-01-27 14:24:50,124:INFO:Declaring preprocessing parameters
  15044. 2022-01-27 14:24:50,124:WARNING:cuML not found
  15045. 2022-01-27 14:24:50,125:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  15046. 2022-01-27 14:24:50,131:INFO:Creating preprocessing pipeline
  15047. 2022-01-27 14:24:50,183:INFO:Preprocessing pipeline created successfully
  15048. 2022-01-27 14:24:50,183:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  15049. 2022-01-27 14:24:50,183:INFO:Creating global containers
  15050. 2022-01-27 14:24:50,184:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  15051. 2022-01-27 14:24:52,473:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15052. 2022-01-27 14:24:52,503:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15053. 2022-01-27 14:24:52,504:WARNING:Couldn't import cuml.MBSGDClassifier
  15054. 2022-01-27 14:24:52,505:WARNING:Couldn't import cuml.svm.SVC
  15055. 2022-01-27 14:24:52,521:WARNING:Couldn't import cuml.linear_model
  15056. 2022-01-27 14:24:52,524:WARNING:Couldn't import cuml.ensemble
  15057. 2022-01-27 14:24:52,534:WARNING:Couldn't import catboost.CatBoostClassifier
  15058. 2022-01-27 14:24:52,535:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15059. 2022-01-27 14:24:52,563:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15060. 2022-01-27 14:24:52,564:WARNING:Couldn't import cuml.MBSGDClassifier
  15061. 2022-01-27 14:24:52,565:WARNING:Couldn't import cuml.svm.SVC
  15062. 2022-01-27 14:24:52,579:WARNING:Couldn't import cuml.linear_model
  15063. 2022-01-27 14:24:52,583:WARNING:Couldn't import cuml.ensemble
  15064. 2022-01-27 14:24:52,591:WARNING:Couldn't import catboost.CatBoostClassifier
  15065. 2022-01-27 14:24:52,592:INFO:Creating grid variables
  15066. 2022-01-27 14:24:52,604:INFO:create_model_container: 0
  15067. 2022-01-27 14:24:52,604:INFO:master_model_container: 0
  15068. 2022-01-27 14:24:52,604:INFO:display_container: 1
  15069. 2022-01-27 14:24:52,607:INFO:Pipeline(memory=None,
  15070. steps=[('dtypes',
  15071. DataTypes_Auto_infer(categorical_features=[],
  15072. display_types=True, features_todrop=[],
  15073. id_columns=[],
  15074. ml_usecase='classification',
  15075. numerical_features=[], target='label',
  15076. time_features=[])),
  15077. ('imputer',
  15078. Simple_Imputer(categorical_strategy='not_available',
  15079. fill_value_categorical=None,
  15080. fill_value_numerical=None,
  15081. numeric_strate...
  15082. target='label')),
  15083. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  15084. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  15085. ('dummy', Dummify(target='label')),
  15086. ('fix_perfect', Remove_100(target='label')),
  15087. ('clean_names', Clean_Colum_Names()),
  15088. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  15089. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  15090. verbose=False)
  15091. 2022-01-27 14:24:52,607:INFO:setup() succesfully completed......................................
  15092. 2022-01-27 14:25:10,781:INFO:Initializing create_model()
  15093. 2022-01-27 14:25:10,781:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15094. 2022-01-27 14:25:10,781:INFO:Checking exceptions
  15095. 2022-01-27 14:25:10,781:INFO:Preparing display monitor
  15096. 2022-01-27 14:25:10,793:INFO:Importing libraries
  15097. 2022-01-27 14:25:10,793:INFO:Copying training dataset
  15098. 2022-01-27 14:25:10,795:INFO:Defining folds
  15099. 2022-01-27 14:25:10,795:INFO:Declaring metric variables
  15100. 2022-01-27 14:25:10,800:INFO:Importing untrained model
  15101. 2022-01-27 14:25:10,805:INFO:Extreme Gradient Boosting Imported succesfully
  15102. 2022-01-27 14:25:10,818:INFO:Starting cross validation
  15103. 2022-01-27 14:25:10,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  15104. 2022-01-27 14:25:11,981:INFO:Calculating mean and std
  15105. 2022-01-27 14:25:11,982:INFO:Creating metrics dataframe
  15106. 2022-01-27 14:25:11,991:INFO:Finalizing model
  15107. 2022-01-27 14:36:04,746:INFO:PyCaret Supervised Module
  15108. 2022-01-27 14:36:04,747:INFO:ML Usecase: classification
  15109. 2022-01-27 14:36:04,747:INFO:version 2.3.6
  15110. 2022-01-27 14:36:04,747:INFO:Initializing setup()
  15111. 2022-01-27 14:36:04,747:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  15112. 2022-01-27 14:36:04,747:INFO:Checking environment
  15113. 2022-01-27 14:36:04,748:INFO:python_version: 3.8.8
  15114. 2022-01-27 14:36:04,748:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  15115. 2022-01-27 14:36:04,748:INFO:machine: x86_64
  15116. 2022-01-27 14:36:04,748:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  15117. 2022-01-27 14:36:04,748:INFO:Memory: svmem(total=33619935232, available=30556065792, percent=9.1, used=2268020736, free=29196001280, active=406462464, inactive=3548401664, buffers=207183872, cached=1948729344, shared=383369216, slab=188399616)
  15118. 2022-01-27 14:36:04,749:INFO:Physical Core: 16
  15119. 2022-01-27 14:36:04,749:INFO:Logical Core: 32
  15120. 2022-01-27 14:36:04,750:INFO:Checking libraries
  15121. 2022-01-27 14:36:04,750:INFO:pd==1.2.4
  15122. 2022-01-27 14:36:04,750:INFO:numpy==1.19.5
  15123. 2022-01-27 14:36:04,750:INFO:sklearn==0.23.2
  15124. 2022-01-27 14:36:04,750:INFO:lightgbm==3.3.2
  15125. 2022-01-27 14:36:04,751:WARNING:catboost not found
  15126. 2022-01-27 14:36:04,810:INFO:xgboost==1.5.2
  15127. 2022-01-27 14:36:05,045:INFO:mlflow==1.22.0
  15128. 2022-01-27 14:36:05,046:INFO:Checking Exceptions
  15129. 2022-01-27 14:36:05,047:INFO:Declaring global variables
  15130. 2022-01-27 14:36:05,047:INFO:USI: d7ed
  15131. 2022-01-27 14:36:05,047:INFO:pycaret_globals: {'iterative_imputation_iters_param', 'experiment__', 'target_param', '_internal_pipeline', 'gpu_param', '_gpu_n_jobs_param', 'fold_groups_param', 'n_jobs_param', 'USI', '_all_models_internal', 'y_test', '_all_metrics', 'display_container', 'transform_target_param', 'data_before_preprocess', 'fold_param', 'X_test', 'create_model_container', 'log_plots_param', 'transform_target_method_param', 'master_model_container', 'pycaret_globals', 'X', '_available_plots', 'fold_generator', 'html_param', '_ml_usecase', 'fix_imbalance_method_param', 'fold_groups_param_full', 'seed', 'y', 'fix_imbalance_param', 'imputation_regressor', 'stratify_param', 'y_train', 'prep_pipe', 'logging_param', 'X_train', 'imputation_classifier', '_all_models', 'fold_shuffle_param', 'exp_name_log'}
  15132. 2022-01-27 14:36:05,048:INFO:Preparing display monitor
  15133. 2022-01-27 14:36:05,048:INFO:Preparing display monitor
  15134. 2022-01-27 14:36:05,062:INFO:Importing libraries
  15135. 2022-01-27 14:36:05,062:INFO:Copying data for preprocessing
  15136. 2022-01-27 14:36:05,068:INFO:Declaring preprocessing parameters
  15137. 2022-01-27 14:36:05,068:WARNING:cuML not found
  15138. 2022-01-27 14:36:05,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  15139. 2022-01-27 14:36:05,074:INFO:Creating preprocessing pipeline
  15140. 2022-01-27 14:36:05,120:INFO:Preprocessing pipeline created successfully
  15141. 2022-01-27 14:36:05,121:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  15142. 2022-01-27 14:36:05,121:INFO:Creating global containers
  15143. 2022-01-27 14:36:05,122:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  15144. 2022-01-27 14:36:06,433:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15145. 2022-01-27 14:36:06,461:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15146. 2022-01-27 14:36:06,463:WARNING:Couldn't import cuml.MBSGDClassifier
  15147. 2022-01-27 14:36:06,464:WARNING:Couldn't import cuml.svm.SVC
  15148. 2022-01-27 14:36:06,482:WARNING:Couldn't import cuml.linear_model
  15149. 2022-01-27 14:36:06,485:WARNING:Couldn't import cuml.ensemble
  15150. 2022-01-27 14:36:06,518:WARNING:Couldn't import catboost.CatBoostClassifier
  15151. 2022-01-27 14:36:06,519:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15152. 2022-01-27 14:36:06,548:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15153. 2022-01-27 14:36:06,549:WARNING:Couldn't import cuml.MBSGDClassifier
  15154. 2022-01-27 14:36:06,550:WARNING:Couldn't import cuml.svm.SVC
  15155. 2022-01-27 14:36:06,563:WARNING:Couldn't import cuml.linear_model
  15156. 2022-01-27 14:36:06,566:WARNING:Couldn't import cuml.ensemble
  15157. 2022-01-27 14:36:06,574:WARNING:Couldn't import catboost.CatBoostClassifier
  15158. 2022-01-27 14:36:06,575:INFO:Creating grid variables
  15159. 2022-01-27 14:36:06,586:INFO:create_model_container: 0
  15160. 2022-01-27 14:36:06,587:INFO:master_model_container: 0
  15161. 2022-01-27 14:36:06,587:INFO:display_container: 1
  15162. 2022-01-27 14:36:06,590:INFO:Pipeline(memory=None,
  15163. steps=[('dtypes',
  15164. DataTypes_Auto_infer(categorical_features=[],
  15165. display_types=True, features_todrop=[],
  15166. id_columns=[],
  15167. ml_usecase='classification',
  15168. numerical_features=[], target='label',
  15169. time_features=[])),
  15170. ('imputer',
  15171. Simple_Imputer(categorical_strategy='not_available',
  15172. fill_value_categorical=None,
  15173. fill_value_numerical=None,
  15174. numeric_strate...
  15175. target='label')),
  15176. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  15177. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  15178. ('dummy', Dummify(target='label')),
  15179. ('fix_perfect', Remove_100(target='label')),
  15180. ('clean_names', Clean_Colum_Names()),
  15181. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  15182. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  15183. verbose=False)
  15184. 2022-01-27 14:36:06,590:INFO:setup() succesfully completed......................................
  15185. 2022-01-27 14:36:12,465:INFO:Initializing create_model()
  15186. 2022-01-27 14:36:12,465:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15187. 2022-01-27 14:36:12,466:INFO:Checking exceptions
  15188. 2022-01-27 14:36:12,466:INFO:Preparing display monitor
  15189. 2022-01-27 14:36:12,478:INFO:Importing libraries
  15190. 2022-01-27 14:36:12,478:INFO:Copying training dataset
  15191. 2022-01-27 14:36:12,479:INFO:Defining folds
  15192. 2022-01-27 14:36:12,479:INFO:Declaring metric variables
  15193. 2022-01-27 14:36:12,484:INFO:Importing untrained model
  15194. 2022-01-27 14:36:12,489:INFO:Extreme Gradient Boosting Imported succesfully
  15195. 2022-01-27 14:36:12,500:INFO:Starting cross validation
  15196. 2022-01-27 14:36:12,501:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  15197. 2022-01-27 14:36:14,284:INFO:Calculating mean and std
  15198. 2022-01-27 14:36:14,285:INFO:Creating metrics dataframe
  15199. 2022-01-27 14:36:14,294:INFO:Finalizing model
  15200. 2022-01-27 15:30:49,472:INFO:PyCaret Supervised Module
  15201. 2022-01-27 15:30:49,472:INFO:ML Usecase: classification
  15202. 2022-01-27 15:30:49,473:INFO:version 2.3.6
  15203. 2022-01-27 15:30:49,473:INFO:Initializing setup()
  15204. 2022-01-27 15:30:49,473:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  15205. 2022-01-27 15:30:49,473:INFO:Checking environment
  15206. 2022-01-27 15:30:49,473:INFO:python_version: 3.8.8
  15207. 2022-01-27 15:30:49,474:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  15208. 2022-01-27 15:30:49,474:INFO:machine: x86_64
  15209. 2022-01-27 15:30:49,474:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  15210. 2022-01-27 15:30:49,474:INFO:Memory: svmem(total=33619935232, available=29805764608, percent=11.3, used=2955124736, free=28171640832, active=567001088, inactive=4398546944, buffers=210321408, cached=2282848256, shared=444846080, slab=195813376)
  15211. 2022-01-27 15:30:49,475:INFO:Physical Core: 16
  15212. 2022-01-27 15:30:49,475:INFO:Logical Core: 32
  15213. 2022-01-27 15:30:49,475:INFO:Checking libraries
  15214. 2022-01-27 15:30:49,475:INFO:pd==1.2.4
  15215. 2022-01-27 15:30:49,476:INFO:numpy==1.19.5
  15216. 2022-01-27 15:30:49,476:INFO:sklearn==0.23.2
  15217. 2022-01-27 15:30:49,476:INFO:lightgbm==3.3.2
  15218. 2022-01-27 15:30:49,477:WARNING:catboost not found
  15219. 2022-01-27 15:30:49,486:INFO:xgboost==1.5.2
  15220. 2022-01-27 15:30:49,609:INFO:mlflow==1.22.0
  15221. 2022-01-27 15:30:49,610:INFO:Checking Exceptions
  15222. 2022-01-27 15:30:49,610:INFO:Declaring global variables
  15223. 2022-01-27 15:30:49,610:INFO:USI: 915f
  15224. 2022-01-27 15:30:49,610:INFO:pycaret_globals: {'display_container', '_all_models', 'seed', 'fold_param', '_internal_pipeline', 'imputation_regressor', 'fix_imbalance_param', '_available_plots', 'master_model_container', 'exp_name_log', 'transform_target_method_param', 'X_train', 'fold_groups_param', 'y_test', 'experiment__', 'y', 'transform_target_param', 'y_train', 'html_param', 'fold_generator', '_all_models_internal', 'USI', 'data_before_preprocess', '_gpu_n_jobs_param', 'target_param', 'stratify_param', 'fold_groups_param_full', 'create_model_container', 'X', 'fix_imbalance_method_param', '_all_metrics', 'gpu_param', 'X_test', 'imputation_classifier', 'log_plots_param', 'iterative_imputation_iters_param', 'pycaret_globals', 'n_jobs_param', '_ml_usecase', 'prep_pipe', 'logging_param', 'fold_shuffle_param'}
  15225. 2022-01-27 15:30:49,610:INFO:Preparing display monitor
  15226. 2022-01-27 15:30:49,611:INFO:Preparing display monitor
  15227. 2022-01-27 15:30:49,620:INFO:Importing libraries
  15228. 2022-01-27 15:30:49,620:INFO:Copying data for preprocessing
  15229. 2022-01-27 15:30:49,626:INFO:Declaring preprocessing parameters
  15230. 2022-01-27 15:30:49,629:INFO:Creating preprocessing pipeline
  15231. 2022-01-27 15:30:49,677:INFO:Preprocessing pipeline created successfully
  15232. 2022-01-27 15:30:49,677:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  15233. 2022-01-27 15:30:49,677:INFO:Creating global containers
  15234. 2022-01-27 15:30:49,678:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  15235. 2022-01-27 15:31:02,084:WARNING:Couldn't import catboost.CatBoostClassifier
  15236. 2022-01-27 15:31:02,130:WARNING:Couldn't import catboost.CatBoostClassifier
  15237. 2022-01-27 15:31:02,130:INFO:Creating grid variables
  15238. 2022-01-27 15:31:02,140:INFO:create_model_container: 0
  15239. 2022-01-27 15:31:02,140:INFO:master_model_container: 0
  15240. 2022-01-27 15:31:02,140:INFO:display_container: 1
  15241. 2022-01-27 15:31:02,143:INFO:Pipeline(memory=None,
  15242. steps=[('dtypes',
  15243. DataTypes_Auto_infer(categorical_features=[],
  15244. display_types=True, features_todrop=[],
  15245. id_columns=[],
  15246. ml_usecase='classification',
  15247. numerical_features=[], target='label',
  15248. time_features=[])),
  15249. ('imputer',
  15250. Simple_Imputer(categorical_strategy='not_available',
  15251. fill_value_categorical=None,
  15252. fill_value_numerical=None,
  15253. numeric_strate...
  15254. target='label')),
  15255. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  15256. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  15257. ('dummy', Dummify(target='label')),
  15258. ('fix_perfect', Remove_100(target='label')),
  15259. ('clean_names', Clean_Colum_Names()),
  15260. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  15261. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  15262. verbose=False)
  15263. 2022-01-27 15:31:02,143:INFO:setup() succesfully completed......................................
  15264. 2022-01-27 15:31:02,291:INFO:Initializing create_model()
  15265. 2022-01-27 15:31:02,291:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15266. 2022-01-27 15:31:02,292:INFO:Checking exceptions
  15267. 2022-01-27 15:31:02,292:INFO:Preparing display monitor
  15268. 2022-01-27 15:31:02,304:INFO:Importing libraries
  15269. 2022-01-27 15:31:02,304:INFO:Copying training dataset
  15270. 2022-01-27 15:31:02,305:INFO:Defining folds
  15271. 2022-01-27 15:31:02,305:INFO:Declaring metric variables
  15272. 2022-01-27 15:31:02,310:INFO:Importing untrained model
  15273. 2022-01-27 15:31:02,316:INFO:Random Forest Classifier Imported succesfully
  15274. 2022-01-27 15:31:02,327:INFO:Starting cross validation
  15275. 2022-01-27 15:31:02,328:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15276. 2022-01-27 15:31:05,582:INFO:Calculating mean and std
  15277. 2022-01-27 15:31:05,583:INFO:Creating metrics dataframe
  15278. 2022-01-27 15:31:05,591:INFO:Finalizing model
  15279. 2022-01-27 15:31:05,956:INFO:Uploading results into container
  15280. 2022-01-27 15:31:05,957:INFO:Uploading model into container now
  15281. 2022-01-27 15:31:05,968:INFO:create_model_container: 1
  15282. 2022-01-27 15:31:05,968:INFO:master_model_container: 1
  15283. 2022-01-27 15:31:05,968:INFO:display_container: 2
  15284. 2022-01-27 15:31:05,968:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15285. criterion='gini', max_depth=None, max_features='auto',
  15286. max_leaf_nodes=None, max_samples=None,
  15287. min_impurity_decrease=0.0, min_impurity_split=None,
  15288. min_samples_leaf=1, min_samples_split=2,
  15289. min_weight_fraction_leaf=0.0, n_estimators=100,
  15290. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15291. warm_start=False)
  15292. 2022-01-27 15:31:05,969:INFO:create_model() succesfully completed......................................
  15293. 2022-01-27 15:35:28,474:INFO:Initializing compare_models()
  15294. 2022-01-27 15:35:28,475:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  15295. 2022-01-27 15:35:28,475:INFO:Checking exceptions
  15296. 2022-01-27 15:35:28,476:INFO:Preparing display monitor
  15297. 2022-01-27 15:35:28,476:INFO:Preparing display monitor
  15298. 2022-01-27 15:35:28,492:INFO:Initializing Logistic Regression
  15299. 2022-01-27 15:35:28,493:INFO:Total runtime is 5.0067901611328125e-06 minutes
  15300. 2022-01-27 15:35:28,498:INFO:SubProcess create_model() called ==================================
  15301. 2022-01-27 15:35:28,498:INFO:Initializing create_model()
  15302. 2022-01-27 15:35:28,499:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15303. 2022-01-27 15:35:28,499:INFO:Checking exceptions
  15304. 2022-01-27 15:35:28,499:INFO:Importing libraries
  15305. 2022-01-27 15:35:28,499:INFO:Copying training dataset
  15306. 2022-01-27 15:35:28,501:INFO:Defining folds
  15307. 2022-01-27 15:35:28,501:INFO:Declaring metric variables
  15308. 2022-01-27 15:35:28,507:INFO:Importing untrained model
  15309. 2022-01-27 15:35:28,512:INFO:Logistic Regression Imported succesfully
  15310. 2022-01-27 15:35:28,522:INFO:Starting cross validation
  15311. 2022-01-27 15:35:28,523:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15312. 2022-01-27 15:35:29,907:INFO:Calculating mean and std
  15313. 2022-01-27 15:35:29,908:INFO:Creating metrics dataframe
  15314. 2022-01-27 15:35:29,911:INFO:Uploading results into container
  15315. 2022-01-27 15:35:29,911:INFO:Uploading model into container now
  15316. 2022-01-27 15:35:29,911:INFO:create_model_container: 2
  15317. 2022-01-27 15:35:29,912:INFO:master_model_container: 2
  15318. 2022-01-27 15:35:29,912:INFO:display_container: 3
  15319. 2022-01-27 15:35:29,912:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  15320. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  15321. multi_class='auto', n_jobs=None, penalty='l2',
  15322. random_state=8782, solver='lbfgs', tol=0.0001, verbose=0,
  15323. warm_start=False)
  15324. 2022-01-27 15:35:29,912:INFO:create_model() succesfully completed......................................
  15325. 2022-01-27 15:35:29,989:INFO:SubProcess create_model() end ==================================
  15326. 2022-01-27 15:35:29,990:INFO:Creating metrics dataframe
  15327. 2022-01-27 15:35:30,000:INFO:Initializing K Neighbors Classifier
  15328. 2022-01-27 15:35:30,000:INFO:Total runtime is 0.025128372510274253 minutes
  15329. 2022-01-27 15:35:30,006:INFO:SubProcess create_model() called ==================================
  15330. 2022-01-27 15:35:30,006:INFO:Initializing create_model()
  15331. 2022-01-27 15:35:30,006:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15332. 2022-01-27 15:35:30,006:INFO:Checking exceptions
  15333. 2022-01-27 15:35:30,007:INFO:Importing libraries
  15334. 2022-01-27 15:35:30,007:INFO:Copying training dataset
  15335. 2022-01-27 15:35:30,008:INFO:Defining folds
  15336. 2022-01-27 15:35:30,008:INFO:Declaring metric variables
  15337. 2022-01-27 15:35:30,013:INFO:Importing untrained model
  15338. 2022-01-27 15:35:30,018:INFO:K Neighbors Classifier Imported succesfully
  15339. 2022-01-27 15:35:30,027:INFO:Starting cross validation
  15340. 2022-01-27 15:35:30,028:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15341. 2022-01-27 15:35:36,622:INFO:Calculating mean and std
  15342. 2022-01-27 15:35:36,623:INFO:Creating metrics dataframe
  15343. 2022-01-27 15:35:36,626:INFO:Uploading results into container
  15344. 2022-01-27 15:35:36,626:INFO:Uploading model into container now
  15345. 2022-01-27 15:35:36,626:INFO:create_model_container: 3
  15346. 2022-01-27 15:35:36,626:INFO:master_model_container: 3
  15347. 2022-01-27 15:35:36,626:INFO:display_container: 3
  15348. 2022-01-27 15:35:36,627:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  15349. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  15350. weights='uniform')
  15351. 2022-01-27 15:35:36,627:INFO:create_model() succesfully completed......................................
  15352. 2022-01-27 15:35:36,697:INFO:SubProcess create_model() end ==================================
  15353. 2022-01-27 15:35:36,697:INFO:Creating metrics dataframe
  15354. 2022-01-27 15:35:36,707:INFO:Initializing Naive Bayes
  15355. 2022-01-27 15:35:36,707:INFO:Total runtime is 0.13691695928573608 minutes
  15356. 2022-01-27 15:35:36,713:INFO:SubProcess create_model() called ==================================
  15357. 2022-01-27 15:35:36,713:INFO:Initializing create_model()
  15358. 2022-01-27 15:35:36,713:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15359. 2022-01-27 15:35:36,714:INFO:Checking exceptions
  15360. 2022-01-27 15:35:36,714:INFO:Importing libraries
  15361. 2022-01-27 15:35:36,714:INFO:Copying training dataset
  15362. 2022-01-27 15:35:36,715:INFO:Defining folds
  15363. 2022-01-27 15:35:36,715:INFO:Declaring metric variables
  15364. 2022-01-27 15:35:36,720:INFO:Importing untrained model
  15365. 2022-01-27 15:35:36,725:INFO:Naive Bayes Imported succesfully
  15366. 2022-01-27 15:35:36,736:INFO:Starting cross validation
  15367. 2022-01-27 15:35:36,736:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15368. 2022-01-27 15:35:37,538:INFO:Calculating mean and std
  15369. 2022-01-27 15:35:37,539:INFO:Creating metrics dataframe
  15370. 2022-01-27 15:35:37,541:INFO:Uploading results into container
  15371. 2022-01-27 15:35:37,542:INFO:Uploading model into container now
  15372. 2022-01-27 15:35:37,542:INFO:create_model_container: 4
  15373. 2022-01-27 15:35:37,542:INFO:master_model_container: 4
  15374. 2022-01-27 15:35:37,542:INFO:display_container: 3
  15375. 2022-01-27 15:35:37,542:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  15376. 2022-01-27 15:35:37,542:INFO:create_model() succesfully completed......................................
  15377. 2022-01-27 15:35:37,612:INFO:SubProcess create_model() end ==================================
  15378. 2022-01-27 15:35:37,613:INFO:Creating metrics dataframe
  15379. 2022-01-27 15:35:37,623:INFO:Initializing Decision Tree Classifier
  15380. 2022-01-27 15:35:37,623:INFO:Total runtime is 0.15218078692754108 minutes
  15381. 2022-01-27 15:35:37,629:INFO:SubProcess create_model() called ==================================
  15382. 2022-01-27 15:35:37,629:INFO:Initializing create_model()
  15383. 2022-01-27 15:35:37,629:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15384. 2022-01-27 15:35:37,629:INFO:Checking exceptions
  15385. 2022-01-27 15:35:37,630:INFO:Importing libraries
  15386. 2022-01-27 15:35:37,630:INFO:Copying training dataset
  15387. 2022-01-27 15:35:37,631:INFO:Defining folds
  15388. 2022-01-27 15:35:37,631:INFO:Declaring metric variables
  15389. 2022-01-27 15:35:37,636:INFO:Importing untrained model
  15390. 2022-01-27 15:35:37,641:INFO:Decision Tree Classifier Imported succesfully
  15391. 2022-01-27 15:35:37,652:INFO:Starting cross validation
  15392. 2022-01-27 15:35:37,652:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15393. 2022-01-27 15:35:37,909:INFO:Calculating mean and std
  15394. 2022-01-27 15:35:37,910:INFO:Creating metrics dataframe
  15395. 2022-01-27 15:35:37,913:INFO:Uploading results into container
  15396. 2022-01-27 15:35:37,913:INFO:Uploading model into container now
  15397. 2022-01-27 15:35:37,913:INFO:create_model_container: 5
  15398. 2022-01-27 15:35:37,913:INFO:master_model_container: 5
  15399. 2022-01-27 15:35:37,913:INFO:display_container: 3
  15400. 2022-01-27 15:35:37,914:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  15401. max_depth=None, max_features=None, max_leaf_nodes=None,
  15402. min_impurity_decrease=0.0, min_impurity_split=None,
  15403. min_samples_leaf=1, min_samples_split=2,
  15404. min_weight_fraction_leaf=0.0, presort='deprecated',
  15405. random_state=8782, splitter='best')
  15406. 2022-01-27 15:35:37,914:INFO:create_model() succesfully completed......................................
  15407. 2022-01-27 15:35:37,983:INFO:SubProcess create_model() end ==================================
  15408. 2022-01-27 15:35:37,984:INFO:Creating metrics dataframe
  15409. 2022-01-27 15:35:37,994:INFO:Initializing SVM - Linear Kernel
  15410. 2022-01-27 15:35:37,995:INFO:Total runtime is 0.15836788018544515 minutes
  15411. 2022-01-27 15:35:38,000:INFO:SubProcess create_model() called ==================================
  15412. 2022-01-27 15:35:38,000:INFO:Initializing create_model()
  15413. 2022-01-27 15:35:38,000:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15414. 2022-01-27 15:35:38,000:INFO:Checking exceptions
  15415. 2022-01-27 15:35:38,001:INFO:Importing libraries
  15416. 2022-01-27 15:35:38,001:INFO:Copying training dataset
  15417. 2022-01-27 15:35:38,002:INFO:Defining folds
  15418. 2022-01-27 15:35:38,002:INFO:Declaring metric variables
  15419. 2022-01-27 15:35:38,006:INFO:Importing untrained model
  15420. 2022-01-27 15:35:38,011:INFO:SVM - Linear Kernel Imported succesfully
  15421. 2022-01-27 15:35:38,021:INFO:Starting cross validation
  15422. 2022-01-27 15:35:38,022:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15423. 2022-01-27 15:35:38,345:INFO:Calculating mean and std
  15424. 2022-01-27 15:35:38,346:INFO:Creating metrics dataframe
  15425. 2022-01-27 15:35:38,348:INFO:Uploading results into container
  15426. 2022-01-27 15:35:38,348:INFO:Uploading model into container now
  15427. 2022-01-27 15:35:38,349:INFO:create_model_container: 6
  15428. 2022-01-27 15:35:38,349:INFO:master_model_container: 6
  15429. 2022-01-27 15:35:38,349:INFO:display_container: 3
  15430. 2022-01-27 15:35:38,349:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  15431. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  15432. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  15433. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  15434. power_t=0.5, random_state=8782, shuffle=True, tol=0.001,
  15435. validation_fraction=0.1, verbose=0, warm_start=False)
  15436. 2022-01-27 15:35:38,349:INFO:create_model() succesfully completed......................................
  15437. 2022-01-27 15:35:38,420:INFO:SubProcess create_model() end ==================================
  15438. 2022-01-27 15:35:38,420:INFO:Creating metrics dataframe
  15439. 2022-01-27 15:35:38,432:INFO:Initializing Ridge Classifier
  15440. 2022-01-27 15:35:38,432:INFO:Total runtime is 0.16565462350845336 minutes
  15441. 2022-01-27 15:35:38,437:INFO:SubProcess create_model() called ==================================
  15442. 2022-01-27 15:35:38,437:INFO:Initializing create_model()
  15443. 2022-01-27 15:35:38,437:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15444. 2022-01-27 15:35:38,438:INFO:Checking exceptions
  15445. 2022-01-27 15:35:38,438:INFO:Importing libraries
  15446. 2022-01-27 15:35:38,438:INFO:Copying training dataset
  15447. 2022-01-27 15:35:38,439:INFO:Defining folds
  15448. 2022-01-27 15:35:38,439:INFO:Declaring metric variables
  15449. 2022-01-27 15:35:38,444:INFO:Importing untrained model
  15450. 2022-01-27 15:35:38,449:INFO:Ridge Classifier Imported succesfully
  15451. 2022-01-27 15:35:38,458:INFO:Starting cross validation
  15452. 2022-01-27 15:35:38,458:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15453. 2022-01-27 15:35:38,614:INFO:Calculating mean and std
  15454. 2022-01-27 15:35:38,615:INFO:Creating metrics dataframe
  15455. 2022-01-27 15:35:38,617:INFO:Uploading results into container
  15456. 2022-01-27 15:35:38,618:INFO:Uploading model into container now
  15457. 2022-01-27 15:35:38,618:INFO:create_model_container: 7
  15458. 2022-01-27 15:35:38,618:INFO:master_model_container: 7
  15459. 2022-01-27 15:35:38,618:INFO:display_container: 3
  15460. 2022-01-27 15:35:38,618:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  15461. max_iter=None, normalize=False, random_state=8782,
  15462. solver='auto', tol=0.001)
  15463. 2022-01-27 15:35:38,619:INFO:create_model() succesfully completed......................................
  15464. 2022-01-27 15:35:38,689:INFO:SubProcess create_model() end ==================================
  15465. 2022-01-27 15:35:38,689:INFO:Creating metrics dataframe
  15466. 2022-01-27 15:35:38,700:INFO:Initializing Random Forest Classifier
  15467. 2022-01-27 15:35:38,700:INFO:Total runtime is 0.17012946605682372 minutes
  15468. 2022-01-27 15:35:38,705:INFO:SubProcess create_model() called ==================================
  15469. 2022-01-27 15:35:38,706:INFO:Initializing create_model()
  15470. 2022-01-27 15:35:38,706:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15471. 2022-01-27 15:35:38,706:INFO:Checking exceptions
  15472. 2022-01-27 15:35:38,706:INFO:Importing libraries
  15473. 2022-01-27 15:35:38,706:INFO:Copying training dataset
  15474. 2022-01-27 15:35:38,707:INFO:Defining folds
  15475. 2022-01-27 15:35:38,707:INFO:Declaring metric variables
  15476. 2022-01-27 15:35:38,712:INFO:Importing untrained model
  15477. 2022-01-27 15:35:38,717:INFO:Random Forest Classifier Imported succesfully
  15478. 2022-01-27 15:35:38,726:INFO:Starting cross validation
  15479. 2022-01-27 15:35:38,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15480. 2022-01-27 15:35:40,748:INFO:Calculating mean and std
  15481. 2022-01-27 15:35:40,749:INFO:Creating metrics dataframe
  15482. 2022-01-27 15:35:40,751:INFO:Uploading results into container
  15483. 2022-01-27 15:35:40,751:INFO:Uploading model into container now
  15484. 2022-01-27 15:35:40,751:INFO:create_model_container: 8
  15485. 2022-01-27 15:35:40,752:INFO:master_model_container: 8
  15486. 2022-01-27 15:35:40,752:INFO:display_container: 3
  15487. 2022-01-27 15:35:40,752:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15488. criterion='gini', max_depth=None, max_features='auto',
  15489. max_leaf_nodes=None, max_samples=None,
  15490. min_impurity_decrease=0.0, min_impurity_split=None,
  15491. min_samples_leaf=1, min_samples_split=2,
  15492. min_weight_fraction_leaf=0.0, n_estimators=100,
  15493. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15494. warm_start=False)
  15495. 2022-01-27 15:35:40,752:INFO:create_model() succesfully completed......................................
  15496. 2022-01-27 15:35:40,817:INFO:SubProcess create_model() end ==================================
  15497. 2022-01-27 15:35:40,818:INFO:Creating metrics dataframe
  15498. 2022-01-27 15:35:40,829:INFO:Initializing Quadratic Discriminant Analysis
  15499. 2022-01-27 15:35:40,829:INFO:Total runtime is 0.20561089118321735 minutes
  15500. 2022-01-27 15:35:40,834:INFO:SubProcess create_model() called ==================================
  15501. 2022-01-27 15:35:40,835:INFO:Initializing create_model()
  15502. 2022-01-27 15:35:40,835:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15503. 2022-01-27 15:35:40,835:INFO:Checking exceptions
  15504. 2022-01-27 15:35:40,835:INFO:Importing libraries
  15505. 2022-01-27 15:35:40,835:INFO:Copying training dataset
  15506. 2022-01-27 15:35:40,836:INFO:Defining folds
  15507. 2022-01-27 15:35:40,836:INFO:Declaring metric variables
  15508. 2022-01-27 15:35:40,841:INFO:Importing untrained model
  15509. 2022-01-27 15:35:40,846:INFO:Quadratic Discriminant Analysis Imported succesfully
  15510. 2022-01-27 15:35:40,856:INFO:Starting cross validation
  15511. 2022-01-27 15:35:40,856:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15512. 2022-01-27 15:35:41,064:INFO:Calculating mean and std
  15513. 2022-01-27 15:35:41,065:INFO:Creating metrics dataframe
  15514. 2022-01-27 15:35:41,068:INFO:Uploading results into container
  15515. 2022-01-27 15:35:41,068:INFO:Uploading model into container now
  15516. 2022-01-27 15:35:41,068:INFO:create_model_container: 9
  15517. 2022-01-27 15:35:41,068:INFO:master_model_container: 9
  15518. 2022-01-27 15:35:41,068:INFO:display_container: 3
  15519. 2022-01-27 15:35:41,069:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  15520. store_covariance=False, tol=0.0001)
  15521. 2022-01-27 15:35:41,069:INFO:create_model() succesfully completed......................................
  15522. 2022-01-27 15:35:41,136:INFO:SubProcess create_model() end ==================================
  15523. 2022-01-27 15:35:41,136:INFO:Creating metrics dataframe
  15524. 2022-01-27 15:35:41,147:INFO:Initializing Ada Boost Classifier
  15525. 2022-01-27 15:35:41,148:INFO:Total runtime is 0.21091970205307006 minutes
  15526. 2022-01-27 15:35:41,153:INFO:SubProcess create_model() called ==================================
  15527. 2022-01-27 15:35:41,153:INFO:Initializing create_model()
  15528. 2022-01-27 15:35:41,153:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15529. 2022-01-27 15:35:41,153:INFO:Checking exceptions
  15530. 2022-01-27 15:35:41,154:INFO:Importing libraries
  15531. 2022-01-27 15:35:41,154:INFO:Copying training dataset
  15532. 2022-01-27 15:35:41,155:INFO:Defining folds
  15533. 2022-01-27 15:35:41,155:INFO:Declaring metric variables
  15534. 2022-01-27 15:35:41,159:INFO:Importing untrained model
  15535. 2022-01-27 15:35:41,164:INFO:Ada Boost Classifier Imported succesfully
  15536. 2022-01-27 15:35:41,174:INFO:Starting cross validation
  15537. 2022-01-27 15:35:41,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15538. 2022-01-27 15:35:42,235:INFO:Calculating mean and std
  15539. 2022-01-27 15:35:42,236:INFO:Creating metrics dataframe
  15540. 2022-01-27 15:35:42,238:INFO:Uploading results into container
  15541. 2022-01-27 15:35:42,239:INFO:Uploading model into container now
  15542. 2022-01-27 15:35:42,239:INFO:create_model_container: 10
  15543. 2022-01-27 15:35:42,239:INFO:master_model_container: 10
  15544. 2022-01-27 15:35:42,239:INFO:display_container: 3
  15545. 2022-01-27 15:35:42,239:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  15546. n_estimators=50, random_state=8782)
  15547. 2022-01-27 15:35:42,240:INFO:create_model() succesfully completed......................................
  15548. 2022-01-27 15:35:42,305:INFO:SubProcess create_model() end ==================================
  15549. 2022-01-27 15:35:42,305:INFO:Creating metrics dataframe
  15550. 2022-01-27 15:35:42,317:INFO:Initializing Gradient Boosting Classifier
  15551. 2022-01-27 15:35:42,317:INFO:Total runtime is 0.23041016658147176 minutes
  15552. 2022-01-27 15:35:42,322:INFO:SubProcess create_model() called ==================================
  15553. 2022-01-27 15:35:42,323:INFO:Initializing create_model()
  15554. 2022-01-27 15:35:42,323:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15555. 2022-01-27 15:35:42,323:INFO:Checking exceptions
  15556. 2022-01-27 15:35:42,323:INFO:Importing libraries
  15557. 2022-01-27 15:35:42,323:INFO:Copying training dataset
  15558. 2022-01-27 15:35:42,324:INFO:Defining folds
  15559. 2022-01-27 15:35:42,324:INFO:Declaring metric variables
  15560. 2022-01-27 15:35:42,329:INFO:Importing untrained model
  15561. 2022-01-27 15:35:42,334:INFO:Gradient Boosting Classifier Imported succesfully
  15562. 2022-01-27 15:35:42,343:INFO:Starting cross validation
  15563. 2022-01-27 15:35:42,344:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15564. 2022-01-27 15:35:45,760:INFO:Calculating mean and std
  15565. 2022-01-27 15:35:45,761:INFO:Creating metrics dataframe
  15566. 2022-01-27 15:35:45,764:INFO:Uploading results into container
  15567. 2022-01-27 15:35:45,764:INFO:Uploading model into container now
  15568. 2022-01-27 15:35:45,764:INFO:create_model_container: 11
  15569. 2022-01-27 15:35:45,764:INFO:master_model_container: 11
  15570. 2022-01-27 15:35:45,765:INFO:display_container: 3
  15571. 2022-01-27 15:35:45,765:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  15572. learning_rate=0.1, loss='deviance', max_depth=3,
  15573. max_features=None, max_leaf_nodes=None,
  15574. min_impurity_decrease=0.0, min_impurity_split=None,
  15575. min_samples_leaf=1, min_samples_split=2,
  15576. min_weight_fraction_leaf=0.0, n_estimators=100,
  15577. n_iter_no_change=None, presort='deprecated',
  15578. random_state=8782, subsample=1.0, tol=0.0001,
  15579. validation_fraction=0.1, verbose=0,
  15580. warm_start=False)
  15581. 2022-01-27 15:35:45,765:INFO:create_model() succesfully completed......................................
  15582. 2022-01-27 15:35:45,832:INFO:SubProcess create_model() end ==================================
  15583. 2022-01-27 15:35:45,832:INFO:Creating metrics dataframe
  15584. 2022-01-27 15:35:45,844:INFO:Initializing Linear Discriminant Analysis
  15585. 2022-01-27 15:35:45,844:INFO:Total runtime is 0.2891955057779948 minutes
  15586. 2022-01-27 15:35:45,849:INFO:SubProcess create_model() called ==================================
  15587. 2022-01-27 15:35:45,850:INFO:Initializing create_model()
  15588. 2022-01-27 15:35:45,850:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15589. 2022-01-27 15:35:45,850:INFO:Checking exceptions
  15590. 2022-01-27 15:35:45,850:INFO:Importing libraries
  15591. 2022-01-27 15:35:45,850:INFO:Copying training dataset
  15592. 2022-01-27 15:35:45,851:INFO:Defining folds
  15593. 2022-01-27 15:35:45,851:INFO:Declaring metric variables
  15594. 2022-01-27 15:35:45,856:INFO:Importing untrained model
  15595. 2022-01-27 15:35:45,860:INFO:Linear Discriminant Analysis Imported succesfully
  15596. 2022-01-27 15:35:45,871:INFO:Starting cross validation
  15597. 2022-01-27 15:35:45,871:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15598. 2022-01-27 15:35:46,122:INFO:Calculating mean and std
  15599. 2022-01-27 15:35:46,123:INFO:Creating metrics dataframe
  15600. 2022-01-27 15:35:46,126:INFO:Uploading results into container
  15601. 2022-01-27 15:35:46,126:INFO:Uploading model into container now
  15602. 2022-01-27 15:35:46,126:INFO:create_model_container: 12
  15603. 2022-01-27 15:35:46,126:INFO:master_model_container: 12
  15604. 2022-01-27 15:35:46,126:INFO:display_container: 3
  15605. 2022-01-27 15:35:46,127:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  15606. solver='svd', store_covariance=False, tol=0.0001)
  15607. 2022-01-27 15:35:46,127:INFO:create_model() succesfully completed......................................
  15608. 2022-01-27 15:35:46,196:INFO:SubProcess create_model() end ==================================
  15609. 2022-01-27 15:35:46,197:INFO:Creating metrics dataframe
  15610. 2022-01-27 15:35:46,209:INFO:Initializing Extra Trees Classifier
  15611. 2022-01-27 15:35:46,210:INFO:Total runtime is 0.2952850619951884 minutes
  15612. 2022-01-27 15:35:46,215:INFO:SubProcess create_model() called ==================================
  15613. 2022-01-27 15:35:46,215:INFO:Initializing create_model()
  15614. 2022-01-27 15:35:46,216:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15615. 2022-01-27 15:35:46,216:INFO:Checking exceptions
  15616. 2022-01-27 15:35:46,216:INFO:Importing libraries
  15617. 2022-01-27 15:35:46,216:INFO:Copying training dataset
  15618. 2022-01-27 15:35:46,217:INFO:Defining folds
  15619. 2022-01-27 15:35:46,217:INFO:Declaring metric variables
  15620. 2022-01-27 15:35:46,222:INFO:Importing untrained model
  15621. 2022-01-27 15:35:46,227:INFO:Extra Trees Classifier Imported succesfully
  15622. 2022-01-27 15:35:46,238:INFO:Starting cross validation
  15623. 2022-01-27 15:35:46,239:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15624. 2022-01-27 15:35:48,104:INFO:Calculating mean and std
  15625. 2022-01-27 15:35:48,105:INFO:Creating metrics dataframe
  15626. 2022-01-27 15:35:48,108:INFO:Uploading results into container
  15627. 2022-01-27 15:35:48,109:INFO:Uploading model into container now
  15628. 2022-01-27 15:35:48,109:INFO:create_model_container: 13
  15629. 2022-01-27 15:35:48,109:INFO:master_model_container: 13
  15630. 2022-01-27 15:35:48,109:INFO:display_container: 3
  15631. 2022-01-27 15:35:48,110:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  15632. criterion='gini', max_depth=None, max_features='auto',
  15633. max_leaf_nodes=None, max_samples=None,
  15634. min_impurity_decrease=0.0, min_impurity_split=None,
  15635. min_samples_leaf=1, min_samples_split=2,
  15636. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  15637. oob_score=False, random_state=8782, verbose=0,
  15638. warm_start=False)
  15639. 2022-01-27 15:35:48,110:INFO:create_model() succesfully completed......................................
  15640. 2022-01-27 15:35:48,192:INFO:SubProcess create_model() end ==================================
  15641. 2022-01-27 15:35:48,192:INFO:Creating metrics dataframe
  15642. 2022-01-27 15:35:48,208:INFO:Initializing Extreme Gradient Boosting
  15643. 2022-01-27 15:35:48,209:INFO:Total runtime is 0.32860164642333983 minutes
  15644. 2022-01-27 15:35:48,215:INFO:SubProcess create_model() called ==================================
  15645. 2022-01-27 15:35:48,216:INFO:Initializing create_model()
  15646. 2022-01-27 15:35:48,216:INFO:create_model(estimator=xgboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15647. 2022-01-27 15:35:48,216:INFO:Checking exceptions
  15648. 2022-01-27 15:35:48,216:INFO:Importing libraries
  15649. 2022-01-27 15:35:48,216:INFO:Copying training dataset
  15650. 2022-01-27 15:35:48,217:INFO:Defining folds
  15651. 2022-01-27 15:35:48,218:INFO:Declaring metric variables
  15652. 2022-01-27 15:35:48,223:INFO:Importing untrained model
  15653. 2022-01-27 15:35:48,229:INFO:Extreme Gradient Boosting Imported succesfully
  15654. 2022-01-27 15:35:48,241:INFO:Starting cross validation
  15655. 2022-01-27 15:35:48,242:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15656. 2022-01-27 15:44:33,915:INFO:Calculating mean and std
  15657. 2022-01-27 15:44:33,917:INFO:Creating metrics dataframe
  15658. 2022-01-27 15:44:33,923:INFO:Uploading results into container
  15659. 2022-01-27 15:44:33,923:INFO:Uploading model into container now
  15660. 2022-01-27 15:44:33,924:INFO:create_model_container: 14
  15661. 2022-01-27 15:44:33,924:INFO:master_model_container: 14
  15662. 2022-01-27 15:44:33,925:INFO:display_container: 3
  15663. 2022-01-27 15:44:33,926:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
  15664. colsample_bynode=None, colsample_bytree=None,
  15665. enable_categorical=False, gamma=None, gpu_id=None,
  15666. importance_type=None, interaction_constraints=None,
  15667. learning_rate=None, max_delta_step=None, max_depth=None,
  15668. min_child_weight=None, missing=nan, monotone_constraints=None,
  15669. n_estimators=100, n_jobs=-1, num_parallel_tree=None,
  15670. objective='binary:logistic', predictor=None, random_state=8782,
  15671. reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
  15672. subsample=None, tree_method='auto', use_label_encoder=True,
  15673. validate_parameters=None, verbosity=0)
  15674. 2022-01-27 15:44:33,926:INFO:create_model() succesfully completed......................................
  15675. 2022-01-27 15:44:34,032:INFO:SubProcess create_model() end ==================================
  15676. 2022-01-27 15:44:34,032:INFO:Creating metrics dataframe
  15677. 2022-01-27 15:44:34,045:INFO:Initializing Light Gradient Boosting Machine
  15678. 2022-01-27 15:44:34,045:INFO:Total runtime is 9.092548799514772 minutes
  15679. 2022-01-27 15:44:34,051:INFO:SubProcess create_model() called ==================================
  15680. 2022-01-27 15:44:34,051:INFO:Initializing create_model()
  15681. 2022-01-27 15:44:34,051:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15682. 2022-01-27 15:44:34,052:INFO:Checking exceptions
  15683. 2022-01-27 15:44:34,052:INFO:Importing libraries
  15684. 2022-01-27 15:44:34,052:INFO:Copying training dataset
  15685. 2022-01-27 15:44:34,053:INFO:Defining folds
  15686. 2022-01-27 15:44:34,053:INFO:Declaring metric variables
  15687. 2022-01-27 15:44:34,057:INFO:Importing untrained model
  15688. 2022-01-27 15:44:34,063:INFO:Light Gradient Boosting Machine Imported succesfully
  15689. 2022-01-27 15:44:34,073:INFO:Starting cross validation
  15690. 2022-01-27 15:44:34,074:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15691. 2022-01-27 15:44:35,101:INFO:Calculating mean and std
  15692. 2022-01-27 15:44:35,102:INFO:Creating metrics dataframe
  15693. 2022-01-27 15:44:35,105:INFO:Uploading results into container
  15694. 2022-01-27 15:44:35,105:INFO:Uploading model into container now
  15695. 2022-01-27 15:44:35,105:INFO:create_model_container: 15
  15696. 2022-01-27 15:44:35,106:INFO:master_model_container: 15
  15697. 2022-01-27 15:44:35,106:INFO:display_container: 3
  15698. 2022-01-27 15:44:35,106:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  15699. importance_type='split', learning_rate=0.1, max_depth=-1,
  15700. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  15701. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  15702. random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  15703. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  15704. 2022-01-27 15:44:35,106:INFO:create_model() succesfully completed......................................
  15705. 2022-01-27 15:44:35,187:INFO:SubProcess create_model() end ==================================
  15706. 2022-01-27 15:44:35,188:INFO:Creating metrics dataframe
  15707. 2022-01-27 15:44:35,202:INFO:Initializing Dummy Classifier
  15708. 2022-01-27 15:44:35,203:INFO:Total runtime is 9.111837255954743 minutes
  15709. 2022-01-27 15:44:35,208:INFO:SubProcess create_model() called ==================================
  15710. 2022-01-27 15:44:35,209:INFO:Initializing create_model()
  15711. 2022-01-27 15:44:35,209:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15712. 2022-01-27 15:44:35,209:INFO:Checking exceptions
  15713. 2022-01-27 15:44:35,209:INFO:Importing libraries
  15714. 2022-01-27 15:44:35,209:INFO:Copying training dataset
  15715. 2022-01-27 15:44:35,211:INFO:Defining folds
  15716. 2022-01-27 15:44:35,212:INFO:Declaring metric variables
  15717. 2022-01-27 15:44:35,217:INFO:Importing untrained model
  15718. 2022-01-27 15:44:35,221:INFO:Dummy Classifier Imported succesfully
  15719. 2022-01-27 15:44:35,232:INFO:Starting cross validation
  15720. 2022-01-27 15:44:35,233:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15721. 2022-01-27 15:44:36,285:INFO:Calculating mean and std
  15722. 2022-01-27 15:44:36,286:INFO:Creating metrics dataframe
  15723. 2022-01-27 15:44:36,289:INFO:Uploading results into container
  15724. 2022-01-27 15:44:36,289:INFO:Uploading model into container now
  15725. 2022-01-27 15:44:36,290:INFO:create_model_container: 16
  15726. 2022-01-27 15:44:36,290:INFO:master_model_container: 16
  15727. 2022-01-27 15:44:36,290:INFO:display_container: 3
  15728. 2022-01-27 15:44:36,290:INFO:DummyClassifier(constant=None, random_state=8782, strategy='prior')
  15729. 2022-01-27 15:44:36,290:INFO:create_model() succesfully completed......................................
  15730. 2022-01-27 15:44:36,365:INFO:SubProcess create_model() end ==================================
  15731. 2022-01-27 15:44:36,366:INFO:Creating metrics dataframe
  15732. 2022-01-27 15:44:36,392:INFO:Initializing create_model()
  15733. 2022-01-27 15:44:36,392:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  15734. criterion='gini', max_depth=None, max_features='auto',
  15735. max_leaf_nodes=None, max_samples=None,
  15736. min_impurity_decrease=0.0, min_impurity_split=None,
  15737. min_samples_leaf=1, min_samples_split=2,
  15738. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  15739. oob_score=False, random_state=8782, verbose=0,
  15740. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15741. 2022-01-27 15:44:36,392:INFO:Checking exceptions
  15742. 2022-01-27 15:44:36,393:INFO:Importing libraries
  15743. 2022-01-27 15:44:36,393:INFO:Copying training dataset
  15744. 2022-01-27 15:44:36,394:INFO:Defining folds
  15745. 2022-01-27 15:44:36,394:INFO:Declaring metric variables
  15746. 2022-01-27 15:44:36,394:INFO:Importing untrained model
  15747. 2022-01-27 15:44:36,394:INFO:Declaring custom model
  15748. 2022-01-27 15:44:36,395:INFO:Extra Trees Classifier Imported succesfully
  15749. 2022-01-27 15:44:36,395:INFO:Cross validation set to False
  15750. 2022-01-27 15:44:36,395:INFO:Fitting Model
  15751. 2022-01-27 15:44:36,713:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  15752. criterion='gini', max_depth=None, max_features='auto',
  15753. max_leaf_nodes=None, max_samples=None,
  15754. min_impurity_decrease=0.0, min_impurity_split=None,
  15755. min_samples_leaf=1, min_samples_split=2,
  15756. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  15757. oob_score=False, random_state=8782, verbose=0,
  15758. warm_start=False)
  15759. 2022-01-27 15:44:36,714:INFO:create_models() succesfully completed......................................
  15760. 2022-01-27 15:44:36,797:INFO:Initializing create_model()
  15761. 2022-01-27 15:44:36,798:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15762. criterion='gini', max_depth=None, max_features='auto',
  15763. max_leaf_nodes=None, max_samples=None,
  15764. min_impurity_decrease=0.0, min_impurity_split=None,
  15765. min_samples_leaf=1, min_samples_split=2,
  15766. min_weight_fraction_leaf=0.0, n_estimators=100,
  15767. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15768. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15769. 2022-01-27 15:44:36,798:INFO:Checking exceptions
  15770. 2022-01-27 15:44:36,798:INFO:Importing libraries
  15771. 2022-01-27 15:44:36,798:INFO:Copying training dataset
  15772. 2022-01-27 15:44:36,799:INFO:Defining folds
  15773. 2022-01-27 15:44:36,799:INFO:Declaring metric variables
  15774. 2022-01-27 15:44:36,799:INFO:Importing untrained model
  15775. 2022-01-27 15:44:36,800:INFO:Declaring custom model
  15776. 2022-01-27 15:44:36,800:INFO:Random Forest Classifier Imported succesfully
  15777. 2022-01-27 15:44:36,800:INFO:Cross validation set to False
  15778. 2022-01-27 15:44:36,801:INFO:Fitting Model
  15779. 2022-01-27 15:44:37,199:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15780. criterion='gini', max_depth=None, max_features='auto',
  15781. max_leaf_nodes=None, max_samples=None,
  15782. min_impurity_decrease=0.0, min_impurity_split=None,
  15783. min_samples_leaf=1, min_samples_split=2,
  15784. min_weight_fraction_leaf=0.0, n_estimators=100,
  15785. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15786. warm_start=False)
  15787. 2022-01-27 15:44:37,199:INFO:create_models() succesfully completed......................................
  15788. 2022-01-27 15:44:37,277:INFO:Initializing create_model()
  15789. 2022-01-27 15:44:37,278:INFO:create_model(estimator=XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
  15790. colsample_bynode=None, colsample_bytree=None,
  15791. enable_categorical=False, gamma=None, gpu_id=None,
  15792. importance_type=None, interaction_constraints=None,
  15793. learning_rate=None, max_delta_step=None, max_depth=None,
  15794. min_child_weight=None, missing=nan, monotone_constraints=None,
  15795. n_estimators=100, n_jobs=-1, num_parallel_tree=None,
  15796. objective='binary:logistic', predictor=None, random_state=8782,
  15797. reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
  15798. subsample=None, tree_method='auto', use_label_encoder=True,
  15799. validate_parameters=None, verbosity=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15800. 2022-01-27 15:44:37,278:INFO:Checking exceptions
  15801. 2022-01-27 15:44:37,278:INFO:Importing libraries
  15802. 2022-01-27 15:44:37,278:INFO:Copying training dataset
  15803. 2022-01-27 15:44:37,279:INFO:Defining folds
  15804. 2022-01-27 15:44:37,279:INFO:Declaring metric variables
  15805. 2022-01-27 15:44:37,279:INFO:Importing untrained model
  15806. 2022-01-27 15:44:37,279:INFO:Declaring custom model
  15807. 2022-01-27 15:44:37,280:INFO:Extreme Gradient Boosting Imported succesfully
  15808. 2022-01-27 15:44:37,281:INFO:Cross validation set to False
  15809. 2022-01-27 15:44:37,281:INFO:Fitting Model
  15810. 2022-01-27 15:44:37,826:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  15811. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  15812. gamma=0, gpu_id=-1, importance_type=None,
  15813. interaction_constraints='', learning_rate=0.300000012,
  15814. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  15815. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  15816. num_parallel_tree=1, objective='binary:logistic',
  15817. predictor='auto', random_state=8782, reg_alpha=0, reg_lambda=1,
  15818. scale_pos_weight=1, subsample=1, tree_method='auto',
  15819. use_label_encoder=True, validate_parameters=1, verbosity=0)
  15820. 2022-01-27 15:44:37,826:INFO:create_models() succesfully completed......................................
  15821. 2022-01-27 15:44:37,897:INFO:Initializing create_model()
  15822. 2022-01-27 15:44:37,897:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  15823. importance_type='split', learning_rate=0.1, max_depth=-1,
  15824. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  15825. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  15826. random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  15827. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15828. 2022-01-27 15:44:37,897:INFO:Checking exceptions
  15829. 2022-01-27 15:44:37,897:INFO:Importing libraries
  15830. 2022-01-27 15:44:37,897:INFO:Copying training dataset
  15831. 2022-01-27 15:44:37,898:INFO:Defining folds
  15832. 2022-01-27 15:44:37,898:INFO:Declaring metric variables
  15833. 2022-01-27 15:44:37,898:INFO:Importing untrained model
  15834. 2022-01-27 15:44:37,898:INFO:Declaring custom model
  15835. 2022-01-27 15:44:37,899:INFO:Light Gradient Boosting Machine Imported succesfully
  15836. 2022-01-27 15:44:37,900:INFO:Cross validation set to False
  15837. 2022-01-27 15:44:37,900:INFO:Fitting Model
  15838. 2022-01-27 15:44:38,355:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  15839. importance_type='split', learning_rate=0.1, max_depth=-1,
  15840. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  15841. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  15842. random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  15843. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  15844. 2022-01-27 15:44:38,355:INFO:create_models() succesfully completed......................................
  15845. 2022-01-27 15:44:38,428:INFO:Initializing create_model()
  15846. 2022-01-27 15:44:38,428:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  15847. max_depth=None, max_features=None, max_leaf_nodes=None,
  15848. min_impurity_decrease=0.0, min_impurity_split=None,
  15849. min_samples_leaf=1, min_samples_split=2,
  15850. min_weight_fraction_leaf=0.0, presort='deprecated',
  15851. random_state=8782, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15852. 2022-01-27 15:44:38,428:INFO:Checking exceptions
  15853. 2022-01-27 15:44:38,428:INFO:Importing libraries
  15854. 2022-01-27 15:44:38,428:INFO:Copying training dataset
  15855. 2022-01-27 15:44:38,429:INFO:Defining folds
  15856. 2022-01-27 15:44:38,429:INFO:Declaring metric variables
  15857. 2022-01-27 15:44:38,429:INFO:Importing untrained model
  15858. 2022-01-27 15:44:38,430:INFO:Declaring custom model
  15859. 2022-01-27 15:44:38,430:INFO:Decision Tree Classifier Imported succesfully
  15860. 2022-01-27 15:44:38,430:INFO:Cross validation set to False
  15861. 2022-01-27 15:44:38,431:INFO:Fitting Model
  15862. 2022-01-27 15:44:38,538:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  15863. max_depth=None, max_features=None, max_leaf_nodes=None,
  15864. min_impurity_decrease=0.0, min_impurity_split=None,
  15865. min_samples_leaf=1, min_samples_split=2,
  15866. min_weight_fraction_leaf=0.0, presort='deprecated',
  15867. random_state=8782, splitter='best')
  15868. 2022-01-27 15:44:38,538:INFO:create_models() succesfully completed......................................
  15869. 2022-01-27 15:44:38,613:INFO:Initializing create_model()
  15870. 2022-01-27 15:44:38,613:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  15871. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  15872. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15873. 2022-01-27 15:44:38,613:INFO:Checking exceptions
  15874. 2022-01-27 15:44:38,614:INFO:Importing libraries
  15875. 2022-01-27 15:44:38,614:INFO:Copying training dataset
  15876. 2022-01-27 15:44:38,614:INFO:Defining folds
  15877. 2022-01-27 15:44:38,614:INFO:Declaring metric variables
  15878. 2022-01-27 15:44:38,615:INFO:Importing untrained model
  15879. 2022-01-27 15:44:38,615:INFO:Declaring custom model
  15880. 2022-01-27 15:44:38,615:INFO:K Neighbors Classifier Imported succesfully
  15881. 2022-01-27 15:44:38,615:INFO:Cross validation set to False
  15882. 2022-01-27 15:44:38,616:INFO:Fitting Model
  15883. 2022-01-27 15:44:39,477:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  15884. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  15885. weights='uniform')
  15886. 2022-01-27 15:44:39,478:INFO:create_models() succesfully completed......................................
  15887. 2022-01-27 15:44:39,571:INFO:create_model_container: 16
  15888. 2022-01-27 15:44:39,572:INFO:master_model_container: 16
  15889. 2022-01-27 15:44:39,572:INFO:display_container: 3
  15890. 2022-01-27 15:44:39,574:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  15891. criterion='gini', max_depth=None, max_features='auto',
  15892. max_leaf_nodes=None, max_samples=None,
  15893. min_impurity_decrease=0.0, min_impurity_split=None,
  15894. min_samples_leaf=1, min_samples_split=2,
  15895. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  15896. oob_score=False, random_state=8782, verbose=0,
  15897. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15898. criterion='gini', max_depth=None, max_features='auto',
  15899. max_leaf_nodes=None, max_samples=None,
  15900. min_impurity_decrease=0.0, min_impurity_split=None,
  15901. min_samples_leaf=1, min_samples_split=2,
  15902. min_weight_fraction_leaf=0.0, n_estimators=100,
  15903. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15904. warm_start=False), XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  15905. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  15906. gamma=0, gpu_id=-1, importance_type=None,
  15907. interaction_constraints='', learning_rate=0.300000012,
  15908. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  15909. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  15910. num_parallel_tree=1, objective='binary:logistic',
  15911. predictor='auto', random_state=8782, reg_alpha=0, reg_lambda=1,
  15912. scale_pos_weight=1, subsample=1, tree_method='auto',
  15913. use_label_encoder=True, validate_parameters=1, verbosity=0), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  15914. importance_type='split', learning_rate=0.1, max_depth=-1,
  15915. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  15916. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  15917. random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  15918. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  15919. max_depth=None, max_features=None, max_leaf_nodes=None,
  15920. min_impurity_decrease=0.0, min_impurity_split=None,
  15921. min_samples_leaf=1, min_samples_split=2,
  15922. min_weight_fraction_leaf=0.0, presort='deprecated',
  15923. random_state=8782, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  15924. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  15925. weights='uniform')]
  15926. 2022-01-27 15:44:39,574:INFO:compare_models() succesfully completed......................................
  15927. 2022-01-27 17:09:17,601:INFO:PyCaret Supervised Module
  15928. 2022-01-27 17:09:17,601:INFO:ML Usecase: classification
  15929. 2022-01-27 17:09:17,602:INFO:version 2.3.6
  15930. 2022-01-27 17:09:17,602:INFO:Initializing setup()
  15931. 2022-01-27 17:09:17,602:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  15932. 2022-01-27 17:09:17,602:INFO:Checking environment
  15933. 2022-01-27 17:09:17,602:INFO:python_version: 3.8.8
  15934. 2022-01-27 17:09:17,603:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  15935. 2022-01-27 17:09:17,603:INFO:machine: x86_64
  15936. 2022-01-27 17:09:17,603:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  15937. 2022-01-27 17:09:17,603:INFO:Memory: svmem(total=33619935232, available=28985139200, percent=13.8, used=3717255168, free=25844936704, active=1079398400, inactive=5746593792, buffers=441016320, cached=3616727040, shared=444874752, slab=642580480)
  15938. 2022-01-27 17:09:17,604:INFO:Physical Core: 16
  15939. 2022-01-27 17:09:17,604:INFO:Logical Core: 32
  15940. 2022-01-27 17:09:17,604:INFO:Checking libraries
  15941. 2022-01-27 17:09:17,604:INFO:pd==1.2.4
  15942. 2022-01-27 17:09:17,605:INFO:numpy==1.19.5
  15943. 2022-01-27 17:09:17,605:INFO:sklearn==0.23.2
  15944. 2022-01-27 17:09:17,605:INFO:lightgbm==3.3.2
  15945. 2022-01-27 17:09:17,605:WARNING:catboost not found
  15946. 2022-01-27 17:09:17,614:INFO:xgboost==1.5.2
  15947. 2022-01-27 17:09:17,739:INFO:mlflow==1.22.0
  15948. 2022-01-27 17:09:17,740:INFO:Checking Exceptions
  15949. 2022-01-27 17:09:17,740:INFO:Declaring global variables
  15950. 2022-01-27 17:09:17,740:INFO:USI: b2ab
  15951. 2022-01-27 17:09:17,741:INFO:pycaret_globals: {'display_container', 'fix_imbalance_param', 'data_before_preprocess', 'fold_generator', 'pycaret_globals', 'n_jobs_param', '_available_plots', 'fold_groups_param', 'y', 'fix_imbalance_method_param', '_gpu_n_jobs_param', 'stratify_param', 'target_param', 'y_train', '_all_models', 'master_model_container', '_all_models_internal', 'transform_target_method_param', 'imputation_classifier', 'X', 'seed', 'prep_pipe', 'USI', 'fold_shuffle_param', 'transform_target_param', 'fold_groups_param_full', 'logging_param', 'imputation_regressor', 'fold_param', '_ml_usecase', '_all_metrics', 'html_param', 'experiment__', 'iterative_imputation_iters_param', 'X_test', 'X_train', 'exp_name_log', 'log_plots_param', 'y_test', '_internal_pipeline', 'create_model_container', 'gpu_param'}
  15952. 2022-01-27 17:09:17,741:INFO:Preparing display monitor
  15953. 2022-01-27 17:09:17,741:INFO:Preparing display monitor
  15954. 2022-01-27 17:09:17,751:INFO:Importing libraries
  15955. 2022-01-27 17:09:17,752:INFO:Copying data for preprocessing
  15956. 2022-01-27 17:09:17,758:INFO:Declaring preprocessing parameters
  15957. 2022-01-27 17:09:17,759:WARNING:cuML not found
  15958. 2022-01-27 17:09:17,759:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  15959. 2022-01-27 17:09:17,763:INFO:Creating preprocessing pipeline
  15960. 2022-01-27 17:09:17,809:INFO:Preprocessing pipeline created successfully
  15961. 2022-01-27 17:09:17,809:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  15962. 2022-01-27 17:09:17,809:INFO:Creating global containers
  15963. 2022-01-27 17:09:17,810:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  15964. 2022-01-27 17:09:19,896:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15965. 2022-01-27 17:09:19,924:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15966. 2022-01-27 17:09:19,925:WARNING:Couldn't import cuml.MBSGDClassifier
  15967. 2022-01-27 17:09:19,926:WARNING:Couldn't import cuml.svm.SVC
  15968. 2022-01-27 17:09:19,943:WARNING:Couldn't import cuml.linear_model
  15969. 2022-01-27 17:09:19,946:WARNING:Couldn't import cuml.ensemble
  15970. 2022-01-27 17:09:19,957:WARNING:Couldn't import catboost.CatBoostClassifier
  15971. 2022-01-27 17:09:19,958:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15972. 2022-01-27 17:09:19,988:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15973. 2022-01-27 17:09:19,988:WARNING:Couldn't import cuml.MBSGDClassifier
  15974. 2022-01-27 17:09:19,989:WARNING:Couldn't import cuml.svm.SVC
  15975. 2022-01-27 17:09:20,003:WARNING:Couldn't import cuml.linear_model
  15976. 2022-01-27 17:09:20,006:WARNING:Couldn't import cuml.ensemble
  15977. 2022-01-27 17:09:20,013:WARNING:Couldn't import catboost.CatBoostClassifier
  15978. 2022-01-27 17:09:20,014:INFO:Creating grid variables
  15979. 2022-01-27 17:09:20,025:INFO:create_model_container: 0
  15980. 2022-01-27 17:09:20,026:INFO:master_model_container: 0
  15981. 2022-01-27 17:09:20,026:INFO:display_container: 1
  15982. 2022-01-27 17:09:20,029:INFO:Pipeline(memory=None,
  15983. steps=[('dtypes',
  15984. DataTypes_Auto_infer(categorical_features=[],
  15985. display_types=True, features_todrop=[],
  15986. id_columns=[],
  15987. ml_usecase='classification',
  15988. numerical_features=[], target='label',
  15989. time_features=[])),
  15990. ('imputer',
  15991. Simple_Imputer(categorical_strategy='not_available',
  15992. fill_value_categorical=None,
  15993. fill_value_numerical=None,
  15994. numeric_strate...
  15995. target='label')),
  15996. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  15997. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  15998. ('dummy', Dummify(target='label')),
  15999. ('fix_perfect', Remove_100(target='label')),
  16000. ('clean_names', Clean_Colum_Names()),
  16001. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16002. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16003. verbose=False)
  16004. 2022-01-27 17:09:20,029:INFO:setup() succesfully completed......................................
  16005. 2022-01-27 17:09:26,719:INFO:Initializing create_model()
  16006. 2022-01-27 17:09:26,719:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  16007. 2022-01-27 17:09:26,720:INFO:Checking exceptions
  16008. 2022-01-27 17:09:26,720:INFO:Preparing display monitor
  16009. 2022-01-27 17:09:26,730:INFO:Importing libraries
  16010. 2022-01-27 17:09:26,731:INFO:Copying training dataset
  16011. 2022-01-27 17:09:26,732:INFO:Defining folds
  16012. 2022-01-27 17:09:26,732:INFO:Declaring metric variables
  16013. 2022-01-27 17:09:26,737:INFO:Importing untrained model
  16014. 2022-01-27 17:09:26,742:INFO:Extreme Gradient Boosting Imported succesfully
  16015. 2022-01-27 17:09:26,752:INFO:Starting cross validation
  16016. 2022-01-27 17:09:26,753:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16017. 2022-01-27 17:09:27,273:INFO:Calculating mean and std
  16018. 2022-01-27 17:09:27,274:INFO:Creating metrics dataframe
  16019. 2022-01-27 17:09:27,282:INFO:Finalizing model
  16020. 2022-02-04 13:23:28,725:INFO:PyCaret Supervised Module
  16021. 2022-02-04 13:23:28,725:INFO:ML Usecase: classification
  16022. 2022-02-04 13:23:28,725:INFO:version 2.3.6
  16023. 2022-02-04 13:23:28,726:INFO:Initializing setup()
  16024. 2022-02-04 13:23:28,726:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  16025. 2022-02-04 13:23:28,726:INFO:Checking environment
  16026. 2022-02-04 13:23:28,726:INFO:python_version: 3.8.8
  16027. 2022-02-04 13:23:28,726:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  16028. 2022-02-04 13:23:28,726:INFO:machine: x86_64
  16029. 2022-02-04 13:23:28,727:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  16030. 2022-02-04 13:23:28,727:INFO:Memory: svmem(total=33619935232, available=29549060096, percent=12.1, used=3260289024, free=27598581760, active=592039936, inactive=4914397184, buffers=228106240, cached=2532958208, shared=383373312, slab=220319744)
  16031. 2022-02-04 13:23:28,729:INFO:Physical Core: 16
  16032. 2022-02-04 13:23:28,729:INFO:Logical Core: 32
  16033. 2022-02-04 13:23:28,729:INFO:Checking libraries
  16034. 2022-02-04 13:23:28,729:INFO:pd==1.2.4
  16035. 2022-02-04 13:23:28,729:INFO:numpy==1.19.5
  16036. 2022-02-04 13:23:28,729:INFO:sklearn==0.23.2
  16037. 2022-02-04 13:23:28,730:INFO:lightgbm==3.3.2
  16038. 2022-02-04 13:23:28,730:WARNING:catboost not found
  16039. 2022-02-04 13:23:28,779:INFO:xgboost==1.5.2
  16040. 2022-02-04 13:23:28,980:INFO:mlflow==1.22.0
  16041. 2022-02-04 13:23:28,981:INFO:Checking Exceptions
  16042. 2022-02-04 13:23:28,981:INFO:Declaring global variables
  16043. 2022-02-04 13:23:28,981:INFO:USI: f076
  16044. 2022-02-04 13:23:28,982:INFO:pycaret_globals: {'html_param', 'fold_shuffle_param', 'target_param', 'X_test', 'fix_imbalance_method_param', 'imputation_classifier', 'data_before_preprocess', 'y_test', 'y', 'X_train', 'prep_pipe', 'pycaret_globals', 'USI', 'master_model_container', 'create_model_container', '_all_metrics', '_gpu_n_jobs_param', 'y_train', '_ml_usecase', 'exp_name_log', '_available_plots', 'transform_target_param', '_all_models_internal', 'stratify_param', 'logging_param', 'imputation_regressor', 'fold_groups_param_full', 'display_container', 'n_jobs_param', 'experiment__', '_all_models', 'log_plots_param', 'fix_imbalance_param', 'fold_param', 'gpu_param', 'fold_groups_param', 'X', 'iterative_imputation_iters_param', 'seed', 'transform_target_method_param', 'fold_generator', '_internal_pipeline'}
  16045. 2022-02-04 13:23:28,982:INFO:Preparing display monitor
  16046. 2022-02-04 13:23:28,982:INFO:Preparing display monitor
  16047. 2022-02-04 13:23:28,992:INFO:Importing libraries
  16048. 2022-02-04 13:23:28,992:INFO:Copying data for preprocessing
  16049. 2022-02-04 13:23:29,000:INFO:Declaring preprocessing parameters
  16050. 2022-02-04 13:23:29,001:WARNING:cuML not found
  16051. 2022-02-04 13:23:29,001:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  16052. 2022-02-04 13:23:29,008:INFO:Creating preprocessing pipeline
  16053. 2022-02-04 13:23:29,115:INFO:Preprocessing pipeline created successfully
  16054. 2022-02-04 13:23:29,115:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  16055. 2022-02-04 13:23:29,116:INFO:Creating global containers
  16056. 2022-02-04 13:23:29,117:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  16057. 2022-02-04 13:23:39,201:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  16058. 2022-02-04 13:23:39,227:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  16059. 2022-02-04 13:23:39,229:WARNING:Couldn't import cuml.MBSGDClassifier
  16060. 2022-02-04 13:23:39,230:WARNING:Couldn't import cuml.svm.SVC
  16061. 2022-02-04 13:23:39,247:WARNING:Couldn't import cuml.linear_model
  16062. 2022-02-04 13:23:39,250:WARNING:Couldn't import cuml.ensemble
  16063. 2022-02-04 13:23:39,275:WARNING:Couldn't import catboost.CatBoostClassifier
  16064. 2022-02-04 13:23:39,276:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  16065. 2022-02-04 13:23:39,305:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  16066. 2022-02-04 13:23:39,306:WARNING:Couldn't import cuml.MBSGDClassifier
  16067. 2022-02-04 13:23:39,307:WARNING:Couldn't import cuml.svm.SVC
  16068. 2022-02-04 13:23:39,320:WARNING:Couldn't import cuml.linear_model
  16069. 2022-02-04 13:23:39,323:WARNING:Couldn't import cuml.ensemble
  16070. 2022-02-04 13:23:39,330:WARNING:Couldn't import catboost.CatBoostClassifier
  16071. 2022-02-04 13:23:39,331:INFO:Creating grid variables
  16072. 2022-02-04 13:23:39,344:INFO:create_model_container: 0
  16073. 2022-02-04 13:23:39,344:INFO:master_model_container: 0
  16074. 2022-02-04 13:23:39,345:INFO:display_container: 1
  16075. 2022-02-04 13:23:39,347:INFO:Pipeline(memory=None,
  16076. steps=[('dtypes',
  16077. DataTypes_Auto_infer(categorical_features=[],
  16078. display_types=True, features_todrop=[],
  16079. id_columns=[],
  16080. ml_usecase='classification',
  16081. numerical_features=[], target='label',
  16082. time_features=[])),
  16083. ('imputer',
  16084. Simple_Imputer(categorical_strategy='not_available',
  16085. fill_value_categorical=None,
  16086. fill_value_numerical=None,
  16087. numeric_strate...
  16088. target='label')),
  16089. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16090. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16091. ('dummy', Dummify(target='label')),
  16092. ('fix_perfect', Remove_100(target='label')),
  16093. ('clean_names', Clean_Colum_Names()),
  16094. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16095. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16096. verbose=False)
  16097. 2022-02-04 13:23:39,348:INFO:setup() succesfully completed......................................
  16098. 2022-02-04 13:23:57,781:INFO:Initializing create_model()
  16099. 2022-02-04 13:23:57,781:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  16100. 2022-02-04 13:23:57,781:INFO:Checking exceptions
  16101. 2022-02-04 13:23:57,782:INFO:Preparing display monitor
  16102. 2022-02-04 13:23:57,793:INFO:Importing libraries
  16103. 2022-02-04 13:23:57,793:INFO:Copying training dataset
  16104. 2022-02-04 13:23:57,794:INFO:Defining folds
  16105. 2022-02-04 13:23:57,795:INFO:Declaring metric variables
  16106. 2022-02-04 13:23:57,799:INFO:Importing untrained model
  16107. 2022-02-04 13:23:57,805:INFO:Extreme Gradient Boosting Imported succesfully
  16108. 2022-02-04 13:23:57,817:INFO:Starting cross validation
  16109. 2022-02-04 13:23:57,818:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16110. 2022-02-04 13:23:59,549:INFO:Calculating mean and std
  16111. 2022-02-04 13:23:59,550:INFO:Creating metrics dataframe
  16112. 2022-02-04 13:23:59,558:INFO:Finalizing model
  16113. 2022-02-04 13:24:13,940:INFO:PyCaret Supervised Module
  16114. 2022-02-04 13:24:13,941:INFO:ML Usecase: classification
  16115. 2022-02-04 13:24:13,941:INFO:version 2.3.6
  16116. 2022-02-04 13:24:13,941:INFO:Initializing setup()
  16117. 2022-02-04 13:24:13,942:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  16118. 2022-02-04 13:24:13,942:INFO:Checking environment
  16119. 2022-02-04 13:24:13,942:INFO:python_version: 3.8.8
  16120. 2022-02-04 13:24:13,942:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  16121. 2022-02-04 13:24:13,942:INFO:machine: x86_64
  16122. 2022-02-04 13:24:13,942:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  16123. 2022-02-04 13:24:13,942:INFO:Memory: svmem(total=33619935232, available=29124751360, percent=13.4, used=3621883904, free=26880950272, active=592715776, inactive=5622235136, buffers=228737024, cached=2888364032, shared=444846080, slab=223514624)
  16124. 2022-02-04 13:24:13,943:INFO:Physical Core: 16
  16125. 2022-02-04 13:24:13,943:INFO:Logical Core: 32
  16126. 2022-02-04 13:24:13,943:INFO:Checking libraries
  16127. 2022-02-04 13:24:13,944:INFO:pd==1.2.4
  16128. 2022-02-04 13:24:13,944:INFO:numpy==1.19.5
  16129. 2022-02-04 13:24:13,944:INFO:sklearn==0.23.2
  16130. 2022-02-04 13:24:13,944:INFO:lightgbm==3.3.2
  16131. 2022-02-04 13:24:13,945:WARNING:catboost not found
  16132. 2022-02-04 13:24:13,945:INFO:xgboost==1.5.2
  16133. 2022-02-04 13:24:13,945:INFO:mlflow==1.22.0
  16134. 2022-02-04 13:24:13,945:INFO:Checking Exceptions
  16135. 2022-02-04 13:24:13,945:INFO:Declaring global variables
  16136. 2022-02-04 13:24:13,946:INFO:USI: af72
  16137. 2022-02-04 13:24:13,946:INFO:pycaret_globals: {'html_param', 'fold_shuffle_param', 'target_param', 'X_test', 'fix_imbalance_method_param', 'imputation_classifier', 'data_before_preprocess', 'y_test', 'y', 'X_train', 'prep_pipe', 'pycaret_globals', 'USI', 'master_model_container', 'create_model_container', '_all_metrics', '_gpu_n_jobs_param', 'y_train', '_ml_usecase', 'exp_name_log', '_available_plots', 'transform_target_param', '_all_models_internal', 'stratify_param', 'logging_param', 'imputation_regressor', 'fold_groups_param_full', 'display_container', 'n_jobs_param', 'experiment__', '_all_models', 'log_plots_param', 'fix_imbalance_param', 'fold_param', 'gpu_param', 'fold_groups_param', 'X', 'iterative_imputation_iters_param', 'seed', 'transform_target_method_param', 'fold_generator', '_internal_pipeline'}
  16138. 2022-02-04 13:24:13,946:INFO:Preparing display monitor
  16139. 2022-02-04 13:24:13,946:INFO:Preparing display monitor
  16140. 2022-02-04 13:24:13,953:INFO:Importing libraries
  16141. 2022-02-04 13:24:13,954:INFO:Copying data for preprocessing
  16142. 2022-02-04 13:24:13,963:INFO:Declaring preprocessing parameters
  16143. 2022-02-04 13:24:13,970:INFO:Creating preprocessing pipeline
  16144. 2022-02-04 13:24:14,078:INFO:Preprocessing pipeline created successfully
  16145. 2022-02-04 13:24:14,078:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  16146. 2022-02-04 13:24:14,079:INFO:Creating global containers
  16147. 2022-02-04 13:24:14,079:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  16148. 2022-02-04 13:24:16,488:WARNING:Couldn't import catboost.CatBoostClassifier
  16149. 2022-02-04 13:24:16,533:WARNING:Couldn't import catboost.CatBoostClassifier
  16150. 2022-02-04 13:24:16,534:INFO:Creating grid variables
  16151. 2022-02-04 13:24:16,544:INFO:create_model_container: 0
  16152. 2022-02-04 13:24:16,545:INFO:master_model_container: 0
  16153. 2022-02-04 13:24:16,545:INFO:display_container: 1
  16154. 2022-02-04 13:24:16,547:INFO:Pipeline(memory=None,
  16155. steps=[('dtypes',
  16156. DataTypes_Auto_infer(categorical_features=[],
  16157. display_types=True, features_todrop=[],
  16158. id_columns=[],
  16159. ml_usecase='classification',
  16160. numerical_features=[], target='label',
  16161. time_features=[])),
  16162. ('imputer',
  16163. Simple_Imputer(categorical_strategy='not_available',
  16164. fill_value_categorical=None,
  16165. fill_value_numerical=None,
  16166. numeric_strate...
  16167. target='label')),
  16168. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16169. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16170. ('dummy', Dummify(target='label')),
  16171. ('fix_perfect', Remove_100(target='label')),
  16172. ('clean_names', Clean_Colum_Names()),
  16173. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16174. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16175. verbose=False)
  16176. 2022-02-04 13:24:16,548:INFO:setup() succesfully completed......................................
  16177. 2022-02-04 13:24:19,470:INFO:Initializing create_model()
  16178. 2022-02-04 13:24:19,470:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  16179. 2022-02-04 13:24:19,470:INFO:Checking exceptions
  16180. 2022-02-04 13:24:19,470:INFO:Preparing display monitor
  16181. 2022-02-04 13:24:19,481:INFO:Importing libraries
  16182. 2022-02-04 13:24:19,481:INFO:Copying training dataset
  16183. 2022-02-04 13:24:19,482:INFO:Defining folds
  16184. 2022-02-04 13:24:19,482:INFO:Declaring metric variables
  16185. 2022-02-04 13:24:19,487:INFO:Importing untrained model
  16186. 2022-02-04 13:24:19,493:INFO:Extreme Gradient Boosting Imported succesfully
  16187. 2022-02-04 13:24:19,503:INFO:Starting cross validation
  16188. 2022-02-04 13:24:19,504:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  16189. 2022-02-04 13:32:39,897:INFO:Calculating mean and std
  16190. 2022-02-04 13:32:39,898:INFO:Creating metrics dataframe
  16191. 2022-02-04 13:32:39,907:INFO:Finalizing model
  16192. 2022-02-04 13:32:40,434:INFO:Uploading results into container
  16193. 2022-02-04 13:32:40,435:INFO:Uploading model into container now
  16194. 2022-02-04 13:32:40,446:INFO:create_model_container: 1
  16195. 2022-02-04 13:32:40,446:INFO:master_model_container: 1
  16196. 2022-02-04 13:32:40,446:INFO:display_container: 2
  16197. 2022-02-04 13:32:40,447:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16198. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16199. gamma=0, gpu_id=-1, importance_type=None,
  16200. interaction_constraints='', learning_rate=0.300000012,
  16201. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  16202. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  16203. num_parallel_tree=1, objective='binary:logistic',
  16204. predictor='auto', random_state=1638, reg_alpha=0, reg_lambda=1,
  16205. scale_pos_weight=1, subsample=1, tree_method='auto',
  16206. use_label_encoder=True, validate_parameters=1, verbosity=0)
  16207. 2022-02-04 13:32:40,448:INFO:create_model() succesfully completed......................................
  16208. 2022-02-04 14:56:39,483:INFO:PyCaret Supervised Module
  16209. 2022-02-04 14:56:39,484:INFO:ML Usecase: classification
  16210. 2022-02-04 14:56:39,484:INFO:version 2.3.6
  16211. 2022-02-04 14:56:39,484:INFO:Initializing setup()
  16212. 2022-02-04 14:56:39,484:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  16213. 2022-02-04 14:56:39,484:INFO:Checking environment
  16214. 2022-02-04 14:56:39,484:INFO:python_version: 3.8.12
  16215. 2022-02-04 14:56:39,484:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  16216. 2022-02-04 14:56:39,484:INFO:machine: AMD64
  16217. 2022-02-04 14:56:39,484:INFO:platform: Windows-10-10.0.22000-SP0
  16218. 2022-02-04 14:56:39,484:INFO:Memory: svmem(total=68629372928, available=45983227904, percent=33.0, used=22646145024, free=45983227904)
  16219. 2022-02-04 14:56:39,484:INFO:Physical Core: 16
  16220. 2022-02-04 14:56:39,484:INFO:Logical Core: 32
  16221. 2022-02-04 14:56:39,484:INFO:Checking libraries
  16222. 2022-02-04 14:56:39,484:INFO:pd==1.3.5
  16223. 2022-02-04 14:56:39,484:INFO:numpy==1.21.5
  16224. 2022-02-04 14:56:39,484:INFO:sklearn==0.23.2
  16225. 2022-02-04 14:56:39,485:INFO:lightgbm==3.3.2
  16226. 2022-02-04 14:56:39,675:INFO:catboost==1.0.4
  16227. 2022-02-04 14:56:39,983:INFO:xgboost==1.5.2
  16228. 2022-02-04 14:56:40,534:INFO:mlflow==1.23.1
  16229. 2022-02-04 14:56:40,534:INFO:Checking Exceptions
  16230. 2022-02-04 14:56:40,534:INFO:Declaring global variables
  16231. 2022-02-04 14:56:40,534:INFO:USI: afb4
  16232. 2022-02-04 14:56:40,535:INFO:pycaret_globals: {'log_plots_param', '_gpu_n_jobs_param', 'prep_pipe', 'fix_imbalance_method_param', '_ml_usecase', 'iterative_imputation_iters_param', 'USI', '_internal_pipeline', 'n_jobs_param', 'X_train', 'y_test', 'data_before_preprocess', 'X', 'stratify_param', '_all_models_internal', 'imputation_regressor', 'fix_imbalance_param', 'pycaret_globals', '_all_models', 'html_param', 'imputation_classifier', 'fold_generator', 'transform_target_param', 'target_param', 'y', 'fold_groups_param', 'create_model_container', 'X_test', 'fold_shuffle_param', 'logging_param', 'y_train', 'transform_target_method_param', 'gpu_param', '_available_plots', '_all_metrics', 'fold_param', 'experiment__', 'master_model_container', 'display_container', 'seed', 'fold_groups_param_full', 'exp_name_log'}
  16233. 2022-02-04 14:56:40,535:INFO:Preparing display monitor
  16234. 2022-02-04 14:56:40,535:INFO:Preparing display monitor
  16235. 2022-02-04 14:56:40,546:INFO:Importing libraries
  16236. 2022-02-04 14:56:40,546:INFO:Copying data for preprocessing
  16237. 2022-02-04 14:56:40,552:INFO:Declaring preprocessing parameters
  16238. 2022-02-04 14:56:40,553:WARNING:cuML not found
  16239. 2022-02-04 14:56:40,553:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  16240. 2022-02-04 14:56:40,559:INFO:Creating preprocessing pipeline
  16241. 2022-02-04 14:56:40,687:INFO:Preprocessing pipeline created successfully
  16242. 2022-02-04 14:56:40,687:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  16243. 2022-02-04 14:56:40,687:INFO:Creating global containers
  16244. 2022-02-04 14:56:40,688:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  16245. 2022-02-04 14:56:42,302:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  16246. 2022-02-04 14:56:42,335:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  16247. 2022-02-04 14:56:42,337:WARNING:Couldn't import cuml.MBSGDClassifier
  16248. 2022-02-04 14:56:42,338:WARNING:Couldn't import cuml.svm.SVC
  16249. 2022-02-04 14:56:42,358:WARNING:Couldn't import cuml.linear_model
  16250. 2022-02-04 14:56:42,363:WARNING:Couldn't import cuml.ensemble
  16251. 2022-02-04 14:56:45,062:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  16252. 2022-02-04 14:56:45,123:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  16253. 2022-02-04 14:56:45,124:WARNING:Couldn't import cuml.MBSGDClassifier
  16254. 2022-02-04 14:56:45,125:WARNING:Couldn't import cuml.svm.SVC
  16255. 2022-02-04 14:56:45,155:WARNING:Couldn't import cuml.linear_model
  16256. 2022-02-04 14:56:45,160:WARNING:Couldn't import cuml.ensemble
  16257. 2022-02-04 14:56:45,382:INFO:Creating grid variables
  16258. 2022-02-04 14:56:45,399:INFO:create_model_container: 0
  16259. 2022-02-04 14:56:45,399:INFO:master_model_container: 0
  16260. 2022-02-04 14:56:45,399:INFO:display_container: 1
  16261. 2022-02-04 14:56:45,406:INFO:Pipeline(memory=None,
  16262. steps=[('dtypes',
  16263. DataTypes_Auto_infer(categorical_features=[],
  16264. display_types=True, features_todrop=[],
  16265. id_columns=[],
  16266. ml_usecase='classification',
  16267. numerical_features=[], target='label',
  16268. time_features=[])),
  16269. ('imputer',
  16270. Simple_Imputer(categorical_strategy='not_available',
  16271. fill_value_categorical=None,
  16272. fill_value_numerical=None,
  16273. numeric_strate...
  16274. target='label')),
  16275. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16276. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16277. ('dummy', Dummify(target='label')),
  16278. ('fix_perfect', Remove_100(target='label')),
  16279. ('clean_names', Clean_Colum_Names()),
  16280. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16281. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16282. verbose=False)
  16283. 2022-02-04 14:56:45,406:INFO:setup() succesfully completed......................................
  16284. 2022-02-04 14:56:53,408:INFO:Initializing create_model()
  16285. 2022-02-04 14:56:53,408:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  16286. 2022-02-04 14:56:53,409:INFO:Checking exceptions
  16287. 2022-02-04 14:56:53,409:INFO:Preparing display monitor
  16288. 2022-02-04 14:56:53,419:INFO:Importing libraries
  16289. 2022-02-04 14:56:53,419:INFO:Copying training dataset
  16290. 2022-02-04 14:56:53,420:INFO:Defining folds
  16291. 2022-02-04 14:56:53,421:INFO:Declaring metric variables
  16292. 2022-02-04 14:56:53,425:INFO:Importing untrained model
  16293. 2022-02-04 14:56:53,430:INFO:Extreme Gradient Boosting Imported succesfully
  16294. 2022-02-04 14:56:53,440:INFO:Starting cross validation
  16295. 2022-02-04 14:56:53,441:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16296. 2022-02-04 14:57:44,023:INFO:Calculating mean and std
  16297. 2022-02-04 14:57:44,024:INFO:Creating metrics dataframe
  16298. 2022-02-04 14:57:44,034:INFO:Finalizing model
  16299. 2022-02-04 14:57:44,521:INFO:Uploading results into container
  16300. 2022-02-04 14:57:44,521:INFO:Uploading model into container now
  16301. 2022-02-04 14:57:44,529:INFO:create_model_container: 1
  16302. 2022-02-04 14:57:44,529:INFO:master_model_container: 1
  16303. 2022-02-04 14:57:44,529:INFO:display_container: 2
  16304. 2022-02-04 14:57:44,531:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16305. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16306. gamma=0, gpu_id=0, importance_type=None,
  16307. interaction_constraints='', learning_rate=0.300000012,
  16308. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  16309. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  16310. num_parallel_tree=1, objective='binary:logistic',
  16311. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  16312. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  16313. use_label_encoder=True, validate_parameters=1, verbosity=0)
  16314. 2022-02-04 14:57:44,531:INFO:create_model() succesfully completed......................................
  16315. 2022-02-04 14:57:56,245:INFO:Initializing tune_model()
  16316. 2022-02-04 14:57:56,246:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16317. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16318. gamma=0, gpu_id=0, importance_type=None,
  16319. interaction_constraints='', learning_rate=0.300000012,
  16320. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  16321. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  16322. num_parallel_tree=1, objective='binary:logistic',
  16323. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  16324. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  16325. use_label_encoder=True, validate_parameters=1, verbosity=0), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Kappa, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  16326. 2022-02-04 14:57:56,246:INFO:Checking exceptions
  16327. 2022-02-04 14:57:56,247:INFO:Preparing display monitor
  16328. 2022-02-04 14:57:56,257:INFO:Copying training dataset
  16329. 2022-02-04 14:57:56,258:INFO:Checking base model
  16330. 2022-02-04 14:57:56,258:INFO:Base model : Extreme Gradient Boosting
  16331. 2022-02-04 14:57:56,265:INFO:Declaring metric variables
  16332. 2022-02-04 14:57:56,270:INFO:Defining Hyperparameters
  16333. 2022-02-04 14:57:56,367:INFO:Tuning with n_jobs=1
  16334. 2022-02-04 14:57:56,367:INFO:Initializing RandomizedSearchCV
  16335. 2022-02-04 14:59:13,394:INFO:best_params: {'actual_estimator__subsample': 0.2, 'actual_estimator__scale_pos_weight': 38.400000000000006, 'actual_estimator__reg_lambda': 0.15, 'actual_estimator__reg_alpha': 3, 'actual_estimator__n_estimators': 200, 'actual_estimator__min_child_weight': 1, 'actual_estimator__max_depth': 7, 'actual_estimator__learning_rate': 0.3, 'actual_estimator__colsample_bytree': 1}
  16336. 2022-02-04 14:59:13,395:INFO:Hyperparameter search completed
  16337. 2022-02-04 14:59:13,395:INFO:SubProcess create_model() called ==================================
  16338. 2022-02-04 14:59:13,396:INFO:Initializing create_model()
  16339. 2022-02-04 14:59:13,396:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16340. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16341. gamma=0, gpu_id=0, importance_type=None,
  16342. interaction_constraints='', learning_rate=0.300000012,
  16343. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  16344. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  16345. num_parallel_tree=1, objective='binary:logistic',
  16346. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  16347. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  16348. use_label_encoder=True, validate_parameters=1, verbosity=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A48EE6520>, kwargs={'subsample': 0.2, 'scale_pos_weight': 38.400000000000006, 'reg_lambda': 0.15, 'reg_alpha': 3, 'n_estimators': 200, 'min_child_weight': 1, 'max_depth': 7, 'learning_rate': 0.3, 'colsample_bytree': 1})
  16349. 2022-02-04 14:59:13,396:INFO:Checking exceptions
  16350. 2022-02-04 14:59:13,396:INFO:Importing libraries
  16351. 2022-02-04 14:59:13,396:INFO:Copying training dataset
  16352. 2022-02-04 14:59:13,397:INFO:Defining folds
  16353. 2022-02-04 14:59:13,397:INFO:Declaring metric variables
  16354. 2022-02-04 14:59:13,404:INFO:Importing untrained model
  16355. 2022-02-04 14:59:13,404:INFO:Declaring custom model
  16356. 2022-02-04 14:59:13,412:INFO:Extreme Gradient Boosting Imported succesfully
  16357. 2022-02-04 14:59:13,425:INFO:Starting cross validation
  16358. 2022-02-04 14:59:13,426:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16359. 2022-02-04 14:59:29,670:INFO:Calculating mean and std
  16360. 2022-02-04 14:59:29,671:INFO:Creating metrics dataframe
  16361. 2022-02-04 14:59:29,681:INFO:Finalizing model
  16362. 2022-02-04 14:59:31,288:INFO:Uploading results into container
  16363. 2022-02-04 14:59:31,288:INFO:Uploading model into container now
  16364. 2022-02-04 14:59:31,288:INFO:create_model_container: 2
  16365. 2022-02-04 14:59:31,288:INFO:master_model_container: 2
  16366. 2022-02-04 14:59:31,288:INFO:display_container: 3
  16367. 2022-02-04 14:59:31,289:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16368. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16369. gamma=0, gpu_id=0, importance_type=None,
  16370. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16371. max_depth=7, min_child_weight=1, missing=nan,
  16372. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16373. num_parallel_tree=1, objective='binary:logistic',
  16374. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16375. scale_pos_weight=38.400000000000006, subsample=0.2,
  16376. tree_method='gpu_hist', use_label_encoder=True,
  16377. validate_parameters=1, verbosity=0)
  16378. 2022-02-04 14:59:31,289:INFO:create_model() succesfully completed......................................
  16379. 2022-02-04 14:59:31,383:INFO:SubProcess create_model() end ==================================
  16380. 2022-02-04 14:59:31,391:INFO:create_model_container: 2
  16381. 2022-02-04 14:59:31,391:INFO:master_model_container: 2
  16382. 2022-02-04 14:59:31,391:INFO:display_container: 3
  16383. 2022-02-04 14:59:31,392:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16384. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16385. gamma=0, gpu_id=0, importance_type=None,
  16386. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16387. max_depth=7, min_child_weight=1, missing=nan,
  16388. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16389. num_parallel_tree=1, objective='binary:logistic',
  16390. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16391. scale_pos_weight=38.400000000000006, subsample=0.2,
  16392. tree_method='gpu_hist', use_label_encoder=True,
  16393. validate_parameters=1, verbosity=0)
  16394. 2022-02-04 14:59:31,392:INFO:tune_model() succesfully completed......................................
  16395. 2022-02-04 15:00:22,756:INFO:Initializing evaluate_model()
  16396. 2022-02-04 15:00:22,756:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16397. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16398. gamma=0, gpu_id=0, importance_type=None,
  16399. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16400. max_depth=7, min_child_weight=1, missing=nan,
  16401. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16402. num_parallel_tree=1, objective='binary:logistic',
  16403. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16404. scale_pos_weight=38.400000000000006, subsample=0.2,
  16405. tree_method='gpu_hist', use_label_encoder=True,
  16406. validate_parameters=1, verbosity=0), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  16407. 2022-02-04 15:00:22,770:INFO:Initializing plot_model()
  16408. 2022-02-04 15:00:22,770:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16409. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16410. gamma=0, gpu_id=0, importance_type=None,
  16411. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16412. max_depth=7, min_child_weight=1, missing=nan,
  16413. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16414. num_parallel_tree=1, objective='binary:logistic',
  16415. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16416. scale_pos_weight=38.400000000000006, subsample=0.2,
  16417. tree_method='gpu_hist', use_label_encoder=True,
  16418. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  16419. 2022-02-04 15:00:22,770:INFO:Checking exceptions
  16420. 2022-02-04 15:00:22,772:INFO:Preparing display monitor
  16421. 2022-02-04 15:00:22,776:INFO:Preloading libraries
  16422. 2022-02-04 15:00:22,834:INFO:Copying training dataset
  16423. 2022-02-04 15:00:22,835:INFO:Copying test dataset
  16424. 2022-02-04 15:00:22,835:INFO:Plot type: parameter
  16425. 2022-02-04 15:00:22,843:INFO:Visual Rendered Successfully
  16426. 2022-02-04 15:00:22,946:INFO:plot_model() succesfully completed......................................
  16427. 2022-02-04 15:00:26,885:INFO:Initializing plot_model()
  16428. 2022-02-04 15:00:26,885:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16429. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16430. gamma=0, gpu_id=0, importance_type=None,
  16431. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16432. max_depth=7, min_child_weight=1, missing=nan,
  16433. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16434. num_parallel_tree=1, objective='binary:logistic',
  16435. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16436. scale_pos_weight=38.400000000000006, subsample=0.2,
  16437. tree_method='gpu_hist', use_label_encoder=True,
  16438. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  16439. 2022-02-04 15:00:26,885:INFO:Checking exceptions
  16440. 2022-02-04 15:00:26,886:INFO:Preparing display monitor
  16441. 2022-02-04 15:00:26,890:INFO:Preloading libraries
  16442. 2022-02-04 15:00:26,946:INFO:Copying training dataset
  16443. 2022-02-04 15:00:26,947:INFO:Copying test dataset
  16444. 2022-02-04 15:00:26,947:INFO:Plot type: auc
  16445. 2022-02-04 15:00:26,950:INFO:Initializing get_config()
  16446. 2022-02-04 15:00:26,950:INFO:get_config(variable=prep_pipe)
  16447. 2022-02-04 15:00:26,954:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  16448. steps=[('dtypes',
  16449. DataTypes_Auto_infer(categorical_features=[],
  16450. display_types=True, features_todrop=[],
  16451. id_columns=[],
  16452. ml_usecase='classification',
  16453. numerical_features=[], target='label',
  16454. time_features=[])),
  16455. ('imputer',
  16456. Simple_Imputer(categorical_strategy='not_available',
  16457. fill_value_categorical=None,
  16458. fill_value_numerical=None,
  16459. numeric_strate...
  16460. target='label')),
  16461. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16462. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16463. ('dummy', Dummify(target='label')),
  16464. ('fix_perfect', Remove_100(target='label')),
  16465. ('clean_names', Clean_Colum_Names()),
  16466. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16467. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16468. verbose=False)
  16469. 2022-02-04 15:00:26,954:INFO:get_config() succesfully completed......................................
  16470. 2022-02-04 15:00:26,966:INFO:Fitting Model
  16471. 2022-02-04 15:00:26,967:INFO:Scoring test/hold-out set
  16472. 2022-02-04 15:00:27,133:INFO:Visual Rendered Successfully
  16473. 2022-02-04 15:00:27,226:INFO:plot_model() succesfully completed......................................
  16474. 2022-02-04 15:00:29,437:INFO:Initializing plot_model()
  16475. 2022-02-04 15:00:29,437:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16476. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16477. gamma=0, gpu_id=0, importance_type=None,
  16478. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16479. max_depth=7, min_child_weight=1, missing=nan,
  16480. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16481. num_parallel_tree=1, objective='binary:logistic',
  16482. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16483. scale_pos_weight=38.400000000000006, subsample=0.2,
  16484. tree_method='gpu_hist', use_label_encoder=True,
  16485. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  16486. 2022-02-04 15:00:29,437:INFO:Checking exceptions
  16487. 2022-02-04 15:00:29,439:INFO:Preparing display monitor
  16488. 2022-02-04 15:00:29,443:INFO:Preloading libraries
  16489. 2022-02-04 15:00:29,498:INFO:Copying training dataset
  16490. 2022-02-04 15:00:29,499:INFO:Copying test dataset
  16491. 2022-02-04 15:00:29,499:INFO:Plot type: confusion_matrix
  16492. 2022-02-04 15:00:29,503:INFO:Initializing get_config()
  16493. 2022-02-04 15:00:29,503:INFO:get_config(variable=prep_pipe)
  16494. 2022-02-04 15:00:29,506:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  16495. steps=[('dtypes',
  16496. DataTypes_Auto_infer(categorical_features=[],
  16497. display_types=True, features_todrop=[],
  16498. id_columns=[],
  16499. ml_usecase='classification',
  16500. numerical_features=[], target='label',
  16501. time_features=[])),
  16502. ('imputer',
  16503. Simple_Imputer(categorical_strategy='not_available',
  16504. fill_value_categorical=None,
  16505. fill_value_numerical=None,
  16506. numeric_strate...
  16507. target='label')),
  16508. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16509. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16510. ('dummy', Dummify(target='label')),
  16511. ('fix_perfect', Remove_100(target='label')),
  16512. ('clean_names', Clean_Colum_Names()),
  16513. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16514. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16515. verbose=False)
  16516. 2022-02-04 15:00:29,506:INFO:get_config() succesfully completed......................................
  16517. 2022-02-04 15:00:29,515:INFO:Fitting Model
  16518. 2022-02-04 15:00:29,516:INFO:Scoring test/hold-out set
  16519. 2022-02-04 15:00:29,660:INFO:Visual Rendered Successfully
  16520. 2022-02-04 15:00:29,758:INFO:plot_model() succesfully completed......................................
  16521. 2022-02-04 15:00:31,562:INFO:Initializing plot_model()
  16522. 2022-02-04 15:00:31,562:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16523. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16524. gamma=0, gpu_id=0, importance_type=None,
  16525. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16526. max_depth=7, min_child_weight=1, missing=nan,
  16527. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16528. num_parallel_tree=1, objective='binary:logistic',
  16529. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16530. scale_pos_weight=38.400000000000006, subsample=0.2,
  16531. tree_method='gpu_hist', use_label_encoder=True,
  16532. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  16533. 2022-02-04 15:00:31,562:INFO:Checking exceptions
  16534. 2022-02-04 15:00:31,563:INFO:Preparing display monitor
  16535. 2022-02-04 15:00:31,567:INFO:Preloading libraries
  16536. 2022-02-04 15:00:31,624:INFO:Copying training dataset
  16537. 2022-02-04 15:00:31,624:INFO:Copying test dataset
  16538. 2022-02-04 15:00:31,625:INFO:Plot type: threshold
  16539. 2022-02-04 15:00:31,636:INFO:Fitting Model
  16540. 2022-02-04 15:01:50,474:INFO:Scoring test/hold-out set
  16541. 2022-02-04 15:01:50,804:INFO:Visual Rendered Successfully
  16542. 2022-02-04 15:01:50,901:INFO:plot_model() succesfully completed......................................
  16543. 2022-02-04 15:02:39,447:INFO:Initializing plot_model()
  16544. 2022-02-04 15:02:39,447:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16545. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16546. gamma=0, gpu_id=0, importance_type=None,
  16547. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16548. max_depth=7, min_child_weight=1, missing=nan,
  16549. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16550. num_parallel_tree=1, objective='binary:logistic',
  16551. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16552. scale_pos_weight=38.400000000000006, subsample=0.2,
  16553. tree_method='gpu_hist', use_label_encoder=True,
  16554. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  16555. 2022-02-04 15:02:39,447:INFO:Checking exceptions
  16556. 2022-02-04 15:02:39,448:INFO:Preparing display monitor
  16557. 2022-02-04 15:02:39,452:INFO:Preloading libraries
  16558. 2022-02-04 15:02:39,509:INFO:Copying training dataset
  16559. 2022-02-04 15:02:39,510:INFO:Copying test dataset
  16560. 2022-02-04 15:02:39,510:INFO:Plot type: pr
  16561. 2022-02-04 15:02:39,521:INFO:Fitting Model
  16562. 2022-02-04 15:02:39,523:INFO:Scoring test/hold-out set
  16563. 2022-02-04 15:02:39,663:INFO:Visual Rendered Successfully
  16564. 2022-02-04 15:02:39,761:INFO:plot_model() succesfully completed......................................
  16565. 2022-02-04 15:02:43,303:INFO:Initializing plot_model()
  16566. 2022-02-04 15:02:43,303:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16567. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16568. gamma=0, gpu_id=0, importance_type=None,
  16569. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16570. max_depth=7, min_child_weight=1, missing=nan,
  16571. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16572. num_parallel_tree=1, objective='binary:logistic',
  16573. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16574. scale_pos_weight=38.400000000000006, subsample=0.2,
  16575. tree_method='gpu_hist', use_label_encoder=True,
  16576. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  16577. 2022-02-04 15:02:43,303:INFO:Checking exceptions
  16578. 2022-02-04 15:02:43,304:INFO:Preparing display monitor
  16579. 2022-02-04 15:02:43,308:INFO:Preloading libraries
  16580. 2022-02-04 15:02:43,364:INFO:Copying training dataset
  16581. 2022-02-04 15:02:43,365:INFO:Copying test dataset
  16582. 2022-02-04 15:02:43,366:INFO:Plot type: error
  16583. 2022-02-04 15:02:43,369:INFO:Initializing get_config()
  16584. 2022-02-04 15:02:43,369:INFO:get_config(variable=prep_pipe)
  16585. 2022-02-04 15:02:43,372:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  16586. steps=[('dtypes',
  16587. DataTypes_Auto_infer(categorical_features=[],
  16588. display_types=True, features_todrop=[],
  16589. id_columns=[],
  16590. ml_usecase='classification',
  16591. numerical_features=[], target='label',
  16592. time_features=[])),
  16593. ('imputer',
  16594. Simple_Imputer(categorical_strategy='not_available',
  16595. fill_value_categorical=None,
  16596. fill_value_numerical=None,
  16597. numeric_strate...
  16598. target='label')),
  16599. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16600. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16601. ('dummy', Dummify(target='label')),
  16602. ('fix_perfect', Remove_100(target='label')),
  16603. ('clean_names', Clean_Colum_Names()),
  16604. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16605. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16606. verbose=False)
  16607. 2022-02-04 15:02:43,372:INFO:get_config() succesfully completed......................................
  16608. 2022-02-04 15:02:43,380:INFO:Fitting Model
  16609. 2022-02-04 15:02:43,382:INFO:Scoring test/hold-out set
  16610. 2022-02-04 15:02:43,517:INFO:Visual Rendered Successfully
  16611. 2022-02-04 15:02:43,618:INFO:plot_model() succesfully completed......................................
  16612. 2022-02-04 15:03:07,546:INFO:Initializing plot_model()
  16613. 2022-02-04 15:03:07,546:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16614. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16615. gamma=0, gpu_id=0, importance_type=None,
  16616. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16617. max_depth=7, min_child_weight=1, missing=nan,
  16618. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16619. num_parallel_tree=1, objective='binary:logistic',
  16620. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16621. scale_pos_weight=38.400000000000006, subsample=0.2,
  16622. tree_method='gpu_hist', use_label_encoder=True,
  16623. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  16624. 2022-02-04 15:03:07,546:INFO:Checking exceptions
  16625. 2022-02-04 15:03:07,548:INFO:Preparing display monitor
  16626. 2022-02-04 15:03:07,553:INFO:Preloading libraries
  16627. 2022-02-04 15:03:07,611:INFO:Copying training dataset
  16628. 2022-02-04 15:03:07,612:INFO:Copying test dataset
  16629. 2022-02-04 15:03:07,612:INFO:Plot type: class_report
  16630. 2022-02-04 15:03:07,616:INFO:Initializing get_config()
  16631. 2022-02-04 15:03:07,616:INFO:get_config(variable=prep_pipe)
  16632. 2022-02-04 15:03:07,619:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  16633. steps=[('dtypes',
  16634. DataTypes_Auto_infer(categorical_features=[],
  16635. display_types=True, features_todrop=[],
  16636. id_columns=[],
  16637. ml_usecase='classification',
  16638. numerical_features=[], target='label',
  16639. time_features=[])),
  16640. ('imputer',
  16641. Simple_Imputer(categorical_strategy='not_available',
  16642. fill_value_categorical=None,
  16643. fill_value_numerical=None,
  16644. numeric_strate...
  16645. target='label')),
  16646. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16647. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16648. ('dummy', Dummify(target='label')),
  16649. ('fix_perfect', Remove_100(target='label')),
  16650. ('clean_names', Clean_Colum_Names()),
  16651. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16652. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16653. verbose=False)
  16654. 2022-02-04 15:03:07,619:INFO:get_config() succesfully completed......................................
  16655. 2022-02-04 15:03:07,629:INFO:Fitting Model
  16656. 2022-02-04 15:03:07,630:INFO:Scoring test/hold-out set
  16657. 2022-02-04 15:03:07,803:INFO:Visual Rendered Successfully
  16658. 2022-02-04 15:03:07,910:INFO:plot_model() succesfully completed......................................
  16659. 2022-02-04 15:03:34,192:INFO:Initializing create_model()
  16660. 2022-02-04 15:03:34,192:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  16661. 2022-02-04 15:03:34,193:INFO:Checking exceptions
  16662. 2022-02-04 15:03:34,193:INFO:Preparing display monitor
  16663. 2022-02-04 15:03:34,204:INFO:Importing libraries
  16664. 2022-02-04 15:03:34,204:INFO:Copying training dataset
  16665. 2022-02-04 15:03:34,205:INFO:Defining folds
  16666. 2022-02-04 15:03:34,205:INFO:Declaring metric variables
  16667. 2022-02-04 15:03:34,209:INFO:Importing untrained model
  16668. 2022-02-04 15:03:34,215:INFO:Extreme Gradient Boosting Imported succesfully
  16669. 2022-02-04 15:03:34,224:INFO:Starting cross validation
  16670. 2022-02-04 15:03:34,225:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16671. 2022-02-04 15:04:13,863:INFO:Calculating mean and std
  16672. 2022-02-04 15:04:13,864:INFO:Creating metrics dataframe
  16673. 2022-02-04 15:04:13,873:INFO:Finalizing model
  16674. 2022-02-04 15:04:18,573:INFO:Uploading results into container
  16675. 2022-02-04 15:04:18,573:INFO:Uploading model into container now
  16676. 2022-02-04 15:04:18,581:INFO:create_model_container: 3
  16677. 2022-02-04 15:04:18,581:INFO:master_model_container: 3
  16678. 2022-02-04 15:04:18,582:INFO:display_container: 4
  16679. 2022-02-04 15:04:18,583:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16680. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16681. gamma=0, gpu_id=0, importance_type=None,
  16682. interaction_constraints='', learning_rate=0.300000012,
  16683. max_delta_step=0, max_depth=16, max_leaves=255,
  16684. min_child_weight=1, missing=nan, monotone_constraints='()',
  16685. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  16686. objective='binary:logistic', predictor='auto', random_state=4409,
  16687. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  16688. tree_method='gpu_hist', use_label_encoder=True,
  16689. validate_parameters=1, ...)
  16690. 2022-02-04 15:04:18,583:INFO:create_model() succesfully completed......................................
  16691. 2022-02-04 15:05:46,592:INFO:Initializing compare_models()
  16692. 2022-02-04 15:05:46,592:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  16693. 2022-02-04 15:05:46,592:INFO:Checking exceptions
  16694. 2022-02-04 15:05:46,593:INFO:Preparing display monitor
  16695. 2022-02-04 15:05:46,593:INFO:Preparing display monitor
  16696. 2022-02-04 15:05:46,610:INFO:Initializing Logistic Regression
  16697. 2022-02-04 15:05:46,610:INFO:Total runtime is 0.0 minutes
  16698. 2022-02-04 15:05:46,615:INFO:SubProcess create_model() called ==================================
  16699. 2022-02-04 15:05:46,615:INFO:Initializing create_model()
  16700. 2022-02-04 15:05:46,616:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16701. 2022-02-04 15:05:46,616:INFO:Checking exceptions
  16702. 2022-02-04 15:05:46,616:INFO:Importing libraries
  16703. 2022-02-04 15:05:46,616:INFO:Copying training dataset
  16704. 2022-02-04 15:05:46,617:INFO:Defining folds
  16705. 2022-02-04 15:05:46,617:INFO:Declaring metric variables
  16706. 2022-02-04 15:05:46,621:INFO:Importing untrained model
  16707. 2022-02-04 15:05:46,626:INFO:Logistic Regression Imported succesfully
  16708. 2022-02-04 15:05:46,638:INFO:Starting cross validation
  16709. 2022-02-04 15:05:46,638:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16710. 2022-02-04 15:05:47,871:INFO:Calculating mean and std
  16711. 2022-02-04 15:05:47,872:INFO:Creating metrics dataframe
  16712. 2022-02-04 15:05:47,876:INFO:Uploading results into container
  16713. 2022-02-04 15:05:47,876:INFO:Uploading model into container now
  16714. 2022-02-04 15:05:47,876:INFO:create_model_container: 4
  16715. 2022-02-04 15:05:47,877:INFO:master_model_container: 4
  16716. 2022-02-04 15:05:47,877:INFO:display_container: 5
  16717. 2022-02-04 15:05:47,877:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  16718. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  16719. multi_class='auto', n_jobs=None, penalty='l2',
  16720. random_state=4409, solver='lbfgs', tol=0.0001, verbose=0,
  16721. warm_start=False)
  16722. 2022-02-04 15:05:47,877:INFO:create_model() succesfully completed......................................
  16723. 2022-02-04 15:05:47,972:INFO:SubProcess create_model() end ==================================
  16724. 2022-02-04 15:05:47,972:INFO:Creating metrics dataframe
  16725. 2022-02-04 15:05:47,982:INFO:Initializing K Neighbors Classifier
  16726. 2022-02-04 15:05:47,982:INFO:Total runtime is 0.022866658369700112 minutes
  16727. 2022-02-04 15:05:47,987:INFO:SubProcess create_model() called ==================================
  16728. 2022-02-04 15:05:47,987:INFO:Initializing create_model()
  16729. 2022-02-04 15:05:47,987:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16730. 2022-02-04 15:05:47,988:INFO:Checking exceptions
  16731. 2022-02-04 15:05:47,988:INFO:Importing libraries
  16732. 2022-02-04 15:05:47,988:INFO:Copying training dataset
  16733. 2022-02-04 15:05:47,989:INFO:Defining folds
  16734. 2022-02-04 15:05:47,989:INFO:Declaring metric variables
  16735. 2022-02-04 15:05:47,994:INFO:Importing untrained model
  16736. 2022-02-04 15:05:47,999:INFO:K Neighbors Classifier Imported succesfully
  16737. 2022-02-04 15:05:48,008:INFO:Starting cross validation
  16738. 2022-02-04 15:05:48,008:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16739. 2022-02-04 15:06:07,415:INFO:Calculating mean and std
  16740. 2022-02-04 15:06:07,416:INFO:Creating metrics dataframe
  16741. 2022-02-04 15:06:07,418:INFO:Uploading results into container
  16742. 2022-02-04 15:06:07,418:INFO:Uploading model into container now
  16743. 2022-02-04 15:06:07,418:INFO:create_model_container: 5
  16744. 2022-02-04 15:06:07,418:INFO:master_model_container: 5
  16745. 2022-02-04 15:06:07,419:INFO:display_container: 5
  16746. 2022-02-04 15:06:07,419:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  16747. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  16748. weights='uniform')
  16749. 2022-02-04 15:06:07,419:INFO:create_model() succesfully completed......................................
  16750. 2022-02-04 15:06:07,516:INFO:SubProcess create_model() end ==================================
  16751. 2022-02-04 15:06:07,516:INFO:Creating metrics dataframe
  16752. 2022-02-04 15:06:07,527:INFO:Initializing Naive Bayes
  16753. 2022-02-04 15:06:07,527:INFO:Total runtime is 0.3486156860987345 minutes
  16754. 2022-02-04 15:06:07,532:INFO:SubProcess create_model() called ==================================
  16755. 2022-02-04 15:06:07,533:INFO:Initializing create_model()
  16756. 2022-02-04 15:06:07,533:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16757. 2022-02-04 15:06:07,533:INFO:Checking exceptions
  16758. 2022-02-04 15:06:07,533:INFO:Importing libraries
  16759. 2022-02-04 15:06:07,533:INFO:Copying training dataset
  16760. 2022-02-04 15:06:07,534:INFO:Defining folds
  16761. 2022-02-04 15:06:07,534:INFO:Declaring metric variables
  16762. 2022-02-04 15:06:07,538:INFO:Importing untrained model
  16763. 2022-02-04 15:06:07,543:INFO:Naive Bayes Imported succesfully
  16764. 2022-02-04 15:06:07,552:INFO:Starting cross validation
  16765. 2022-02-04 15:06:07,553:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16766. 2022-02-04 15:06:07,770:INFO:Calculating mean and std
  16767. 2022-02-04 15:06:07,771:INFO:Creating metrics dataframe
  16768. 2022-02-04 15:06:07,774:INFO:Uploading results into container
  16769. 2022-02-04 15:06:07,774:INFO:Uploading model into container now
  16770. 2022-02-04 15:06:07,774:INFO:create_model_container: 6
  16771. 2022-02-04 15:06:07,774:INFO:master_model_container: 6
  16772. 2022-02-04 15:06:07,774:INFO:display_container: 5
  16773. 2022-02-04 15:06:07,774:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  16774. 2022-02-04 15:06:07,774:INFO:create_model() succesfully completed......................................
  16775. 2022-02-04 15:06:07,871:INFO:SubProcess create_model() end ==================================
  16776. 2022-02-04 15:06:07,871:INFO:Creating metrics dataframe
  16777. 2022-02-04 15:06:07,881:INFO:Initializing Decision Tree Classifier
  16778. 2022-02-04 15:06:07,881:INFO:Total runtime is 0.35451567173004145 minutes
  16779. 2022-02-04 15:06:07,886:INFO:SubProcess create_model() called ==================================
  16780. 2022-02-04 15:06:07,886:INFO:Initializing create_model()
  16781. 2022-02-04 15:06:07,886:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16782. 2022-02-04 15:06:07,887:INFO:Checking exceptions
  16783. 2022-02-04 15:06:07,887:INFO:Importing libraries
  16784. 2022-02-04 15:06:07,887:INFO:Copying training dataset
  16785. 2022-02-04 15:06:07,888:INFO:Defining folds
  16786. 2022-02-04 15:06:07,888:INFO:Declaring metric variables
  16787. 2022-02-04 15:06:07,894:INFO:Importing untrained model
  16788. 2022-02-04 15:06:07,899:INFO:Decision Tree Classifier Imported succesfully
  16789. 2022-02-04 15:06:07,909:INFO:Starting cross validation
  16790. 2022-02-04 15:06:07,910:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16791. 2022-02-04 15:06:08,821:INFO:Calculating mean and std
  16792. 2022-02-04 15:06:08,822:INFO:Creating metrics dataframe
  16793. 2022-02-04 15:06:08,825:INFO:Uploading results into container
  16794. 2022-02-04 15:06:08,825:INFO:Uploading model into container now
  16795. 2022-02-04 15:06:08,825:INFO:create_model_container: 7
  16796. 2022-02-04 15:06:08,825:INFO:master_model_container: 7
  16797. 2022-02-04 15:06:08,825:INFO:display_container: 5
  16798. 2022-02-04 15:06:08,825:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  16799. max_depth=None, max_features=None, max_leaf_nodes=None,
  16800. min_impurity_decrease=0.0, min_impurity_split=None,
  16801. min_samples_leaf=1, min_samples_split=2,
  16802. min_weight_fraction_leaf=0.0, presort='deprecated',
  16803. random_state=4409, splitter='best')
  16804. 2022-02-04 15:06:08,825:INFO:create_model() succesfully completed......................................
  16805. 2022-02-04 15:06:08,923:INFO:SubProcess create_model() end ==================================
  16806. 2022-02-04 15:06:08,923:INFO:Creating metrics dataframe
  16807. 2022-02-04 15:06:08,934:INFO:Initializing SVM - Linear Kernel
  16808. 2022-02-04 15:06:08,934:INFO:Total runtime is 0.3720656991004943 minutes
  16809. 2022-02-04 15:06:08,939:INFO:SubProcess create_model() called ==================================
  16810. 2022-02-04 15:06:08,939:INFO:Initializing create_model()
  16811. 2022-02-04 15:06:08,939:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16812. 2022-02-04 15:06:08,939:INFO:Checking exceptions
  16813. 2022-02-04 15:06:08,940:INFO:Importing libraries
  16814. 2022-02-04 15:06:08,940:INFO:Copying training dataset
  16815. 2022-02-04 15:06:08,940:INFO:Defining folds
  16816. 2022-02-04 15:06:08,941:INFO:Declaring metric variables
  16817. 2022-02-04 15:06:08,945:INFO:Importing untrained model
  16818. 2022-02-04 15:06:08,950:INFO:SVM - Linear Kernel Imported succesfully
  16819. 2022-02-04 15:06:08,960:INFO:Starting cross validation
  16820. 2022-02-04 15:06:08,960:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16821. 2022-02-04 15:06:09,595:INFO:Calculating mean and std
  16822. 2022-02-04 15:06:09,595:INFO:Creating metrics dataframe
  16823. 2022-02-04 15:06:09,598:INFO:Uploading results into container
  16824. 2022-02-04 15:06:09,598:INFO:Uploading model into container now
  16825. 2022-02-04 15:06:09,598:INFO:create_model_container: 8
  16826. 2022-02-04 15:06:09,598:INFO:master_model_container: 8
  16827. 2022-02-04 15:06:09,598:INFO:display_container: 5
  16828. 2022-02-04 15:06:09,599:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  16829. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  16830. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  16831. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  16832. power_t=0.5, random_state=4409, shuffle=True, tol=0.001,
  16833. validation_fraction=0.1, verbose=0, warm_start=False)
  16834. 2022-02-04 15:06:09,599:INFO:create_model() succesfully completed......................................
  16835. 2022-02-04 15:06:09,692:INFO:SubProcess create_model() end ==================================
  16836. 2022-02-04 15:06:09,692:INFO:Creating metrics dataframe
  16837. 2022-02-04 15:06:09,703:INFO:Initializing Ridge Classifier
  16838. 2022-02-04 15:06:09,703:INFO:Total runtime is 0.384882374604543 minutes
  16839. 2022-02-04 15:06:09,708:INFO:SubProcess create_model() called ==================================
  16840. 2022-02-04 15:06:09,708:INFO:Initializing create_model()
  16841. 2022-02-04 15:06:09,708:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16842. 2022-02-04 15:06:09,708:INFO:Checking exceptions
  16843. 2022-02-04 15:06:09,709:INFO:Importing libraries
  16844. 2022-02-04 15:06:09,709:INFO:Copying training dataset
  16845. 2022-02-04 15:06:09,710:INFO:Defining folds
  16846. 2022-02-04 15:06:09,710:INFO:Declaring metric variables
  16847. 2022-02-04 15:06:09,714:INFO:Importing untrained model
  16848. 2022-02-04 15:06:09,719:INFO:Ridge Classifier Imported succesfully
  16849. 2022-02-04 15:06:09,729:INFO:Starting cross validation
  16850. 2022-02-04 15:06:09,730:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16851. 2022-02-04 15:06:09,954:INFO:Calculating mean and std
  16852. 2022-02-04 15:06:09,954:INFO:Creating metrics dataframe
  16853. 2022-02-04 15:06:09,957:INFO:Uploading results into container
  16854. 2022-02-04 15:06:09,957:INFO:Uploading model into container now
  16855. 2022-02-04 15:06:09,957:INFO:create_model_container: 9
  16856. 2022-02-04 15:06:09,957:INFO:master_model_container: 9
  16857. 2022-02-04 15:06:09,957:INFO:display_container: 5
  16858. 2022-02-04 15:06:09,957:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  16859. max_iter=None, normalize=False, random_state=4409,
  16860. solver='auto', tol=0.001)
  16861. 2022-02-04 15:06:09,958:INFO:create_model() succesfully completed......................................
  16862. 2022-02-04 15:06:10,055:INFO:SubProcess create_model() end ==================================
  16863. 2022-02-04 15:06:10,055:INFO:Creating metrics dataframe
  16864. 2022-02-04 15:06:10,066:INFO:Initializing Random Forest Classifier
  16865. 2022-02-04 15:06:10,066:INFO:Total runtime is 0.3909323612848917 minutes
  16866. 2022-02-04 15:06:10,071:INFO:SubProcess create_model() called ==================================
  16867. 2022-02-04 15:06:10,071:INFO:Initializing create_model()
  16868. 2022-02-04 15:06:10,071:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16869. 2022-02-04 15:06:10,072:INFO:Checking exceptions
  16870. 2022-02-04 15:06:10,072:INFO:Importing libraries
  16871. 2022-02-04 15:06:10,072:INFO:Copying training dataset
  16872. 2022-02-04 15:06:10,072:INFO:Defining folds
  16873. 2022-02-04 15:06:10,073:INFO:Declaring metric variables
  16874. 2022-02-04 15:06:10,078:INFO:Importing untrained model
  16875. 2022-02-04 15:06:10,083:INFO:Random Forest Classifier Imported succesfully
  16876. 2022-02-04 15:06:10,092:INFO:Starting cross validation
  16877. 2022-02-04 15:06:10,092:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16878. 2022-02-04 15:06:16,557:INFO:Calculating mean and std
  16879. 2022-02-04 15:06:16,557:INFO:Creating metrics dataframe
  16880. 2022-02-04 15:06:16,561:INFO:Uploading results into container
  16881. 2022-02-04 15:06:16,561:INFO:Uploading model into container now
  16882. 2022-02-04 15:06:16,561:INFO:create_model_container: 10
  16883. 2022-02-04 15:06:16,561:INFO:master_model_container: 10
  16884. 2022-02-04 15:06:16,561:INFO:display_container: 5
  16885. 2022-02-04 15:06:16,562:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  16886. criterion='gini', max_depth=None, max_features='auto',
  16887. max_leaf_nodes=None, max_samples=None,
  16888. min_impurity_decrease=0.0, min_impurity_split=None,
  16889. min_samples_leaf=1, min_samples_split=2,
  16890. min_weight_fraction_leaf=0.0, n_estimators=100,
  16891. n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
  16892. warm_start=False)
  16893. 2022-02-04 15:06:16,562:INFO:create_model() succesfully completed......................................
  16894. 2022-02-04 15:06:16,667:INFO:SubProcess create_model() end ==================================
  16895. 2022-02-04 15:06:16,667:INFO:Creating metrics dataframe
  16896. 2022-02-04 15:06:16,678:INFO:Initializing Quadratic Discriminant Analysis
  16897. 2022-02-04 15:06:16,678:INFO:Total runtime is 0.5011307676633199 minutes
  16898. 2022-02-04 15:06:16,684:INFO:SubProcess create_model() called ==================================
  16899. 2022-02-04 15:06:16,684:INFO:Initializing create_model()
  16900. 2022-02-04 15:06:16,684:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16901. 2022-02-04 15:06:16,684:INFO:Checking exceptions
  16902. 2022-02-04 15:06:16,684:INFO:Importing libraries
  16903. 2022-02-04 15:06:16,684:INFO:Copying training dataset
  16904. 2022-02-04 15:06:16,685:INFO:Defining folds
  16905. 2022-02-04 15:06:16,685:INFO:Declaring metric variables
  16906. 2022-02-04 15:06:16,690:INFO:Importing untrained model
  16907. 2022-02-04 15:06:16,695:INFO:Quadratic Discriminant Analysis Imported succesfully
  16908. 2022-02-04 15:06:16,704:INFO:Starting cross validation
  16909. 2022-02-04 15:06:16,705:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16910. 2022-02-04 15:06:17,050:INFO:Calculating mean and std
  16911. 2022-02-04 15:06:17,050:INFO:Creating metrics dataframe
  16912. 2022-02-04 15:06:17,053:INFO:Uploading results into container
  16913. 2022-02-04 15:06:17,053:INFO:Uploading model into container now
  16914. 2022-02-04 15:06:17,053:INFO:create_model_container: 11
  16915. 2022-02-04 15:06:17,053:INFO:master_model_container: 11
  16916. 2022-02-04 15:06:17,053:INFO:display_container: 5
  16917. 2022-02-04 15:06:17,053:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  16918. store_covariance=False, tol=0.0001)
  16919. 2022-02-04 15:06:17,054:INFO:create_model() succesfully completed......................................
  16920. 2022-02-04 15:06:17,149:INFO:SubProcess create_model() end ==================================
  16921. 2022-02-04 15:06:17,150:INFO:Creating metrics dataframe
  16922. 2022-02-04 15:06:17,161:INFO:Initializing Ada Boost Classifier
  16923. 2022-02-04 15:06:17,161:INFO:Total runtime is 0.5091807285944621 minutes
  16924. 2022-02-04 15:06:17,166:INFO:SubProcess create_model() called ==================================
  16925. 2022-02-04 15:06:17,166:INFO:Initializing create_model()
  16926. 2022-02-04 15:06:17,166:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16927. 2022-02-04 15:06:17,166:INFO:Checking exceptions
  16928. 2022-02-04 15:06:17,166:INFO:Importing libraries
  16929. 2022-02-04 15:06:17,166:INFO:Copying training dataset
  16930. 2022-02-04 15:06:17,167:INFO:Defining folds
  16931. 2022-02-04 15:06:17,167:INFO:Declaring metric variables
  16932. 2022-02-04 15:06:17,172:INFO:Importing untrained model
  16933. 2022-02-04 15:06:17,176:INFO:Ada Boost Classifier Imported succesfully
  16934. 2022-02-04 15:06:17,185:INFO:Starting cross validation
  16935. 2022-02-04 15:06:17,186:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16936. 2022-02-04 15:06:23,878:INFO:Calculating mean and std
  16937. 2022-02-04 15:06:23,878:INFO:Creating metrics dataframe
  16938. 2022-02-04 15:06:23,881:INFO:Uploading results into container
  16939. 2022-02-04 15:06:23,881:INFO:Uploading model into container now
  16940. 2022-02-04 15:06:23,881:INFO:create_model_container: 12
  16941. 2022-02-04 15:06:23,881:INFO:master_model_container: 12
  16942. 2022-02-04 15:06:23,881:INFO:display_container: 5
  16943. 2022-02-04 15:06:23,882:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  16944. n_estimators=50, random_state=4409)
  16945. 2022-02-04 15:06:23,882:INFO:create_model() succesfully completed......................................
  16946. 2022-02-04 15:06:23,979:INFO:SubProcess create_model() end ==================================
  16947. 2022-02-04 15:06:23,979:INFO:Creating metrics dataframe
  16948. 2022-02-04 15:06:23,990:INFO:Initializing Gradient Boosting Classifier
  16949. 2022-02-04 15:06:23,991:INFO:Total runtime is 0.6230140884717306 minutes
  16950. 2022-02-04 15:06:23,996:INFO:SubProcess create_model() called ==================================
  16951. 2022-02-04 15:06:23,996:INFO:Initializing create_model()
  16952. 2022-02-04 15:06:23,996:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16953. 2022-02-04 15:06:23,996:INFO:Checking exceptions
  16954. 2022-02-04 15:06:23,996:INFO:Importing libraries
  16955. 2022-02-04 15:06:23,996:INFO:Copying training dataset
  16956. 2022-02-04 15:06:23,997:INFO:Defining folds
  16957. 2022-02-04 15:06:23,998:INFO:Declaring metric variables
  16958. 2022-02-04 15:06:24,002:INFO:Importing untrained model
  16959. 2022-02-04 15:06:24,008:INFO:Gradient Boosting Classifier Imported succesfully
  16960. 2022-02-04 15:06:24,017:INFO:Starting cross validation
  16961. 2022-02-04 15:06:24,017:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16962. 2022-02-04 15:06:45,572:INFO:Calculating mean and std
  16963. 2022-02-04 15:06:45,573:INFO:Creating metrics dataframe
  16964. 2022-02-04 15:06:45,575:INFO:Uploading results into container
  16965. 2022-02-04 15:06:45,576:INFO:Uploading model into container now
  16966. 2022-02-04 15:06:45,576:INFO:create_model_container: 13
  16967. 2022-02-04 15:06:45,576:INFO:master_model_container: 13
  16968. 2022-02-04 15:06:45,576:INFO:display_container: 5
  16969. 2022-02-04 15:06:45,576:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  16970. learning_rate=0.1, loss='deviance', max_depth=3,
  16971. max_features=None, max_leaf_nodes=None,
  16972. min_impurity_decrease=0.0, min_impurity_split=None,
  16973. min_samples_leaf=1, min_samples_split=2,
  16974. min_weight_fraction_leaf=0.0, n_estimators=100,
  16975. n_iter_no_change=None, presort='deprecated',
  16976. random_state=4409, subsample=1.0, tol=0.0001,
  16977. validation_fraction=0.1, verbose=0,
  16978. warm_start=False)
  16979. 2022-02-04 15:06:45,576:INFO:create_model() succesfully completed......................................
  16980. 2022-02-04 15:06:45,671:INFO:SubProcess create_model() end ==================================
  16981. 2022-02-04 15:06:45,671:INFO:Creating metrics dataframe
  16982. 2022-02-04 15:06:45,683:INFO:Initializing Linear Discriminant Analysis
  16983. 2022-02-04 15:06:45,683:INFO:Total runtime is 0.9845474243164063 minutes
  16984. 2022-02-04 15:06:45,688:INFO:SubProcess create_model() called ==================================
  16985. 2022-02-04 15:06:45,688:INFO:Initializing create_model()
  16986. 2022-02-04 15:06:45,688:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16987. 2022-02-04 15:06:45,688:INFO:Checking exceptions
  16988. 2022-02-04 15:06:45,689:INFO:Importing libraries
  16989. 2022-02-04 15:06:45,689:INFO:Copying training dataset
  16990. 2022-02-04 15:06:45,689:INFO:Defining folds
  16991. 2022-02-04 15:06:45,690:INFO:Declaring metric variables
  16992. 2022-02-04 15:06:45,694:INFO:Importing untrained model
  16993. 2022-02-04 15:06:45,699:INFO:Linear Discriminant Analysis Imported succesfully
  16994. 2022-02-04 15:06:45,708:INFO:Starting cross validation
  16995. 2022-02-04 15:06:45,709:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16996. 2022-02-04 15:06:46,414:INFO:Calculating mean and std
  16997. 2022-02-04 15:06:46,415:INFO:Creating metrics dataframe
  16998. 2022-02-04 15:06:46,418:INFO:Uploading results into container
  16999. 2022-02-04 15:06:46,418:INFO:Uploading model into container now
  17000. 2022-02-04 15:06:46,418:INFO:create_model_container: 14
  17001. 2022-02-04 15:06:46,418:INFO:master_model_container: 14
  17002. 2022-02-04 15:06:46,418:INFO:display_container: 5
  17003. 2022-02-04 15:06:46,419:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  17004. solver='svd', store_covariance=False, tol=0.0001)
  17005. 2022-02-04 15:06:46,419:INFO:create_model() succesfully completed......................................
  17006. 2022-02-04 15:06:46,515:INFO:SubProcess create_model() end ==================================
  17007. 2022-02-04 15:06:46,515:INFO:Creating metrics dataframe
  17008. 2022-02-04 15:06:46,527:INFO:Initializing Extra Trees Classifier
  17009. 2022-02-04 15:06:46,527:INFO:Total runtime is 0.9986141165097555 minutes
  17010. 2022-02-04 15:06:46,532:INFO:SubProcess create_model() called ==================================
  17011. 2022-02-04 15:06:46,532:INFO:Initializing create_model()
  17012. 2022-02-04 15:06:46,532:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17013. 2022-02-04 15:06:46,532:INFO:Checking exceptions
  17014. 2022-02-04 15:06:46,532:INFO:Importing libraries
  17015. 2022-02-04 15:06:46,532:INFO:Copying training dataset
  17016. 2022-02-04 15:06:46,533:INFO:Defining folds
  17017. 2022-02-04 15:06:46,534:INFO:Declaring metric variables
  17018. 2022-02-04 15:06:46,538:INFO:Importing untrained model
  17019. 2022-02-04 15:06:46,543:INFO:Extra Trees Classifier Imported succesfully
  17020. 2022-02-04 15:06:46,553:INFO:Starting cross validation
  17021. 2022-02-04 15:06:46,553:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17022. 2022-02-04 15:06:54,031:INFO:Calculating mean and std
  17023. 2022-02-04 15:06:54,032:INFO:Creating metrics dataframe
  17024. 2022-02-04 15:06:54,034:INFO:Uploading results into container
  17025. 2022-02-04 15:06:54,034:INFO:Uploading model into container now
  17026. 2022-02-04 15:06:54,034:INFO:create_model_container: 15
  17027. 2022-02-04 15:06:54,035:INFO:master_model_container: 15
  17028. 2022-02-04 15:06:54,035:INFO:display_container: 5
  17029. 2022-02-04 15:06:54,035:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  17030. criterion='gini', max_depth=None, max_features='auto',
  17031. max_leaf_nodes=None, max_samples=None,
  17032. min_impurity_decrease=0.0, min_impurity_split=None,
  17033. min_samples_leaf=1, min_samples_split=2,
  17034. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  17035. oob_score=False, random_state=4409, verbose=0,
  17036. warm_start=False)
  17037. 2022-02-04 15:06:54,035:INFO:create_model() succesfully completed......................................
  17038. 2022-02-04 15:06:54,141:INFO:SubProcess create_model() end ==================================
  17039. 2022-02-04 15:06:54,141:INFO:Creating metrics dataframe
  17040. 2022-02-04 15:06:54,153:INFO:Initializing Extreme Gradient Boosting
  17041. 2022-02-04 15:06:54,154:INFO:Total runtime is 1.1257275780042013 minutes
  17042. 2022-02-04 15:06:54,159:INFO:SubProcess create_model() called ==================================
  17043. 2022-02-04 15:06:54,159:INFO:Initializing create_model()
  17044. 2022-02-04 15:06:54,159:INFO:create_model(estimator=xgboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17045. 2022-02-04 15:06:54,159:INFO:Checking exceptions
  17046. 2022-02-04 15:06:54,159:INFO:Importing libraries
  17047. 2022-02-04 15:06:54,159:INFO:Copying training dataset
  17048. 2022-02-04 15:06:54,160:INFO:Defining folds
  17049. 2022-02-04 15:06:54,160:INFO:Declaring metric variables
  17050. 2022-02-04 15:06:54,165:INFO:Importing untrained model
  17051. 2022-02-04 15:06:54,169:INFO:Extreme Gradient Boosting Imported succesfully
  17052. 2022-02-04 15:06:54,179:INFO:Starting cross validation
  17053. 2022-02-04 15:06:54,180:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17054. 2022-02-04 15:07:00,013:INFO:Calculating mean and std
  17055. 2022-02-04 15:07:00,014:INFO:Creating metrics dataframe
  17056. 2022-02-04 15:07:00,018:INFO:Uploading results into container
  17057. 2022-02-04 15:07:00,018:INFO:Uploading model into container now
  17058. 2022-02-04 15:07:00,018:INFO:create_model_container: 16
  17059. 2022-02-04 15:07:00,018:INFO:master_model_container: 16
  17060. 2022-02-04 15:07:00,018:INFO:display_container: 5
  17061. 2022-02-04 15:07:00,019:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
  17062. colsample_bynode=None, colsample_bytree=None,
  17063. enable_categorical=False, gamma=None, gpu_id=None,
  17064. importance_type=None, interaction_constraints=None,
  17065. learning_rate=None, max_delta_step=None, max_depth=None,
  17066. min_child_weight=None, missing=nan, monotone_constraints=None,
  17067. n_estimators=100, n_jobs=-1, num_parallel_tree=None,
  17068. objective='binary:logistic', predictor=None, random_state=4409,
  17069. reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
  17070. subsample=None, tree_method='gpu_hist', use_label_encoder=True,
  17071. validate_parameters=None, verbosity=0)
  17072. 2022-02-04 15:07:00,019:INFO:create_model() succesfully completed......................................
  17073. 2022-02-04 15:07:00,137:INFO:SubProcess create_model() end ==================================
  17074. 2022-02-04 15:07:00,137:INFO:Creating metrics dataframe
  17075. 2022-02-04 15:07:00,149:INFO:Initializing Light Gradient Boosting Machine
  17076. 2022-02-04 15:07:00,149:INFO:Total runtime is 1.2256452123324078 minutes
  17077. 2022-02-04 15:07:00,155:INFO:SubProcess create_model() called ==================================
  17078. 2022-02-04 15:07:00,155:INFO:Initializing create_model()
  17079. 2022-02-04 15:07:00,155:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17080. 2022-02-04 15:07:00,155:INFO:Checking exceptions
  17081. 2022-02-04 15:07:00,155:INFO:Importing libraries
  17082. 2022-02-04 15:07:00,155:INFO:Copying training dataset
  17083. 2022-02-04 15:07:00,156:INFO:Defining folds
  17084. 2022-02-04 15:07:00,156:INFO:Declaring metric variables
  17085. 2022-02-04 15:07:00,161:INFO:Importing untrained model
  17086. 2022-02-04 15:07:00,165:INFO:Light Gradient Boosting Machine Imported succesfully
  17087. 2022-02-04 15:07:00,175:INFO:Starting cross validation
  17088. 2022-02-04 15:07:00,175:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17089. 2022-02-04 15:07:15,358:INFO:Calculating mean and std
  17090. 2022-02-04 15:07:15,359:INFO:Creating metrics dataframe
  17091. 2022-02-04 15:07:15,363:INFO:Uploading results into container
  17092. 2022-02-04 15:07:15,363:INFO:Uploading model into container now
  17093. 2022-02-04 15:07:15,363:INFO:create_model_container: 17
  17094. 2022-02-04 15:07:15,363:INFO:master_model_container: 17
  17095. 2022-02-04 15:07:15,363:INFO:display_container: 5
  17096. 2022-02-04 15:07:15,364:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  17097. device='gpu', importance_type='split', learning_rate=0.1,
  17098. max_depth=-1, min_child_samples=20, min_child_weight=0.001,
  17099. min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
  17100. objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
  17101. silent='warn', subsample=1.0, subsample_for_bin=200000,
  17102. subsample_freq=0)
  17103. 2022-02-04 15:07:15,364:INFO:create_model() succesfully completed......................................
  17104. 2022-02-04 15:07:15,486:INFO:SubProcess create_model() end ==================================
  17105. 2022-02-04 15:07:15,486:INFO:Creating metrics dataframe
  17106. 2022-02-04 15:07:15,500:INFO:Initializing CatBoost Classifier
  17107. 2022-02-04 15:07:15,500:INFO:Total runtime is 1.4814952055613202 minutes
  17108. 2022-02-04 15:07:15,505:INFO:SubProcess create_model() called ==================================
  17109. 2022-02-04 15:07:15,505:INFO:Initializing create_model()
  17110. 2022-02-04 15:07:15,505:INFO:create_model(estimator=catboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17111. 2022-02-04 15:07:15,506:INFO:Checking exceptions
  17112. 2022-02-04 15:07:15,506:INFO:Importing libraries
  17113. 2022-02-04 15:07:15,506:INFO:Copying training dataset
  17114. 2022-02-04 15:07:15,507:INFO:Defining folds
  17115. 2022-02-04 15:07:15,507:INFO:Declaring metric variables
  17116. 2022-02-04 15:07:15,511:INFO:Importing untrained model
  17117. 2022-02-04 15:07:15,516:INFO:CatBoost Classifier Imported succesfully
  17118. 2022-02-04 15:07:15,526:INFO:Starting cross validation
  17119. 2022-02-04 15:07:15,526:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17120. 2022-02-04 15:08:36,311:INFO:Calculating mean and std
  17121. 2022-02-04 15:08:36,312:INFO:Creating metrics dataframe
  17122. 2022-02-04 15:08:36,315:INFO:Uploading results into container
  17123. 2022-02-04 15:08:36,315:INFO:Uploading model into container now
  17124. 2022-02-04 15:08:36,315:INFO:create_model_container: 18
  17125. 2022-02-04 15:08:36,315:INFO:master_model_container: 18
  17126. 2022-02-04 15:08:36,315:INFO:display_container: 5
  17127. 2022-02-04 15:08:36,315:INFO:<catboost.core.CatBoostClassifier object at 0x0000019A490FDDC0>
  17128. 2022-02-04 15:08:36,315:INFO:create_model() succesfully completed......................................
  17129. 2022-02-04 15:08:36,421:INFO:SubProcess create_model() end ==================================
  17130. 2022-02-04 15:08:36,422:INFO:Creating metrics dataframe
  17131. 2022-02-04 15:08:36,435:INFO:Initializing Dummy Classifier
  17132. 2022-02-04 15:08:36,435:INFO:Total runtime is 2.830419460932414 minutes
  17133. 2022-02-04 15:08:36,440:INFO:SubProcess create_model() called ==================================
  17134. 2022-02-04 15:08:36,440:INFO:Initializing create_model()
  17135. 2022-02-04 15:08:36,440:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17136. 2022-02-04 15:08:36,440:INFO:Checking exceptions
  17137. 2022-02-04 15:08:36,440:INFO:Importing libraries
  17138. 2022-02-04 15:08:36,440:INFO:Copying training dataset
  17139. 2022-02-04 15:08:36,441:INFO:Defining folds
  17140. 2022-02-04 15:08:36,442:INFO:Declaring metric variables
  17141. 2022-02-04 15:08:36,446:INFO:Importing untrained model
  17142. 2022-02-04 15:08:36,452:INFO:Dummy Classifier Imported succesfully
  17143. 2022-02-04 15:08:36,464:INFO:Starting cross validation
  17144. 2022-02-04 15:08:36,464:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17145. 2022-02-04 15:08:36,598:INFO:Calculating mean and std
  17146. 2022-02-04 15:08:36,598:INFO:Creating metrics dataframe
  17147. 2022-02-04 15:08:36,602:INFO:Uploading results into container
  17148. 2022-02-04 15:08:36,602:INFO:Uploading model into container now
  17149. 2022-02-04 15:08:36,602:INFO:create_model_container: 19
  17150. 2022-02-04 15:08:36,602:INFO:master_model_container: 19
  17151. 2022-02-04 15:08:36,602:INFO:display_container: 5
  17152. 2022-02-04 15:08:36,602:INFO:DummyClassifier(constant=None, random_state=4409, strategy='prior')
  17153. 2022-02-04 15:08:36,602:INFO:create_model() succesfully completed......................................
  17154. 2022-02-04 15:08:36,703:INFO:SubProcess create_model() end ==================================
  17155. 2022-02-04 15:08:36,704:INFO:Creating metrics dataframe
  17156. 2022-02-04 15:08:36,728:INFO:Initializing create_model()
  17157. 2022-02-04 15:08:36,728:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  17158. criterion='gini', max_depth=None, max_features='auto',
  17159. max_leaf_nodes=None, max_samples=None,
  17160. min_impurity_decrease=0.0, min_impurity_split=None,
  17161. min_samples_leaf=1, min_samples_split=2,
  17162. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  17163. oob_score=False, random_state=4409, verbose=0,
  17164. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17165. 2022-02-04 15:08:36,728:INFO:Checking exceptions
  17166. 2022-02-04 15:08:36,728:INFO:Importing libraries
  17167. 2022-02-04 15:08:36,729:INFO:Copying training dataset
  17168. 2022-02-04 15:08:36,729:INFO:Defining folds
  17169. 2022-02-04 15:08:36,729:INFO:Declaring metric variables
  17170. 2022-02-04 15:08:36,729:INFO:Importing untrained model
  17171. 2022-02-04 15:08:36,729:INFO:Declaring custom model
  17172. 2022-02-04 15:08:36,730:INFO:Extra Trees Classifier Imported succesfully
  17173. 2022-02-04 15:08:36,730:INFO:Cross validation set to False
  17174. 2022-02-04 15:08:36,730:INFO:Fitting Model
  17175. 2022-02-04 15:08:36,996:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  17176. criterion='gini', max_depth=None, max_features='auto',
  17177. max_leaf_nodes=None, max_samples=None,
  17178. min_impurity_decrease=0.0, min_impurity_split=None,
  17179. min_samples_leaf=1, min_samples_split=2,
  17180. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  17181. oob_score=False, random_state=4409, verbose=0,
  17182. warm_start=False)
  17183. 2022-02-04 15:08:36,996:INFO:create_models() succesfully completed......................................
  17184. 2022-02-04 15:08:37,106:INFO:Initializing create_model()
  17185. 2022-02-04 15:08:37,107:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  17186. criterion='gini', max_depth=None, max_features='auto',
  17187. max_leaf_nodes=None, max_samples=None,
  17188. min_impurity_decrease=0.0, min_impurity_split=None,
  17189. min_samples_leaf=1, min_samples_split=2,
  17190. min_weight_fraction_leaf=0.0, n_estimators=100,
  17191. n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
  17192. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17193. 2022-02-04 15:08:37,107:INFO:Checking exceptions
  17194. 2022-02-04 15:08:37,107:INFO:Importing libraries
  17195. 2022-02-04 15:08:37,107:INFO:Copying training dataset
  17196. 2022-02-04 15:08:37,108:INFO:Defining folds
  17197. 2022-02-04 15:08:37,108:INFO:Declaring metric variables
  17198. 2022-02-04 15:08:37,108:INFO:Importing untrained model
  17199. 2022-02-04 15:08:37,108:INFO:Declaring custom model
  17200. 2022-02-04 15:08:37,108:INFO:Random Forest Classifier Imported succesfully
  17201. 2022-02-04 15:08:37,109:INFO:Cross validation set to False
  17202. 2022-02-04 15:08:37,109:INFO:Fitting Model
  17203. 2022-02-04 15:08:37,418:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  17204. criterion='gini', max_depth=None, max_features='auto',
  17205. max_leaf_nodes=None, max_samples=None,
  17206. min_impurity_decrease=0.0, min_impurity_split=None,
  17207. min_samples_leaf=1, min_samples_split=2,
  17208. min_weight_fraction_leaf=0.0, n_estimators=100,
  17209. n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
  17210. warm_start=False)
  17211. 2022-02-04 15:08:37,418:INFO:create_models() succesfully completed......................................
  17212. 2022-02-04 15:08:37,525:INFO:Initializing create_model()
  17213. 2022-02-04 15:08:37,525:INFO:create_model(estimator=<catboost.core.CatBoostClassifier object at 0x0000019A490FDDC0>, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17214. 2022-02-04 15:08:37,525:INFO:Checking exceptions
  17215. 2022-02-04 15:08:37,525:INFO:Importing libraries
  17216. 2022-02-04 15:08:37,525:INFO:Copying training dataset
  17217. 2022-02-04 15:08:37,526:INFO:Defining folds
  17218. 2022-02-04 15:08:37,526:INFO:Declaring metric variables
  17219. 2022-02-04 15:08:37,526:INFO:Importing untrained model
  17220. 2022-02-04 15:08:37,526:INFO:Declaring custom model
  17221. 2022-02-04 15:08:37,526:INFO:CatBoost Classifier Imported succesfully
  17222. 2022-02-04 15:08:37,527:INFO:Cross validation set to False
  17223. 2022-02-04 15:08:37,527:INFO:Fitting Model
  17224. 2022-02-04 15:08:45,340:INFO:<catboost.core.CatBoostClassifier object at 0x0000019A491A57C0>
  17225. 2022-02-04 15:08:45,340:INFO:create_models() succesfully completed......................................
  17226. 2022-02-04 15:08:45,442:INFO:Initializing create_model()
  17227. 2022-02-04 15:08:45,442:INFO:create_model(estimator=XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
  17228. colsample_bynode=None, colsample_bytree=None,
  17229. enable_categorical=False, gamma=None, gpu_id=None,
  17230. importance_type=None, interaction_constraints=None,
  17231. learning_rate=None, max_delta_step=None, max_depth=None,
  17232. min_child_weight=None, missing=nan, monotone_constraints=None,
  17233. n_estimators=100, n_jobs=-1, num_parallel_tree=None,
  17234. objective='binary:logistic', predictor=None, random_state=4409,
  17235. reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
  17236. subsample=None, tree_method='gpu_hist', use_label_encoder=True,
  17237. validate_parameters=None, verbosity=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17238. 2022-02-04 15:08:45,442:INFO:Checking exceptions
  17239. 2022-02-04 15:08:45,442:INFO:Importing libraries
  17240. 2022-02-04 15:08:45,442:INFO:Copying training dataset
  17241. 2022-02-04 15:08:45,443:INFO:Defining folds
  17242. 2022-02-04 15:08:45,443:INFO:Declaring metric variables
  17243. 2022-02-04 15:08:45,443:INFO:Importing untrained model
  17244. 2022-02-04 15:08:45,443:INFO:Declaring custom model
  17245. 2022-02-04 15:08:45,444:INFO:Extreme Gradient Boosting Imported succesfully
  17246. 2022-02-04 15:08:45,445:INFO:Cross validation set to False
  17247. 2022-02-04 15:08:45,445:INFO:Fitting Model
  17248. 2022-02-04 15:08:46,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17249. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17250. gamma=0, gpu_id=0, importance_type=None,
  17251. interaction_constraints='', learning_rate=0.300000012,
  17252. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  17253. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  17254. num_parallel_tree=1, objective='binary:logistic',
  17255. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  17256. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  17257. use_label_encoder=True, validate_parameters=1, verbosity=0)
  17258. 2022-02-04 15:08:46,436:INFO:create_models() succesfully completed......................................
  17259. 2022-02-04 15:08:46,545:INFO:Initializing create_model()
  17260. 2022-02-04 15:08:46,545:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  17261. device='gpu', importance_type='split', learning_rate=0.1,
  17262. max_depth=-1, min_child_samples=20, min_child_weight=0.001,
  17263. min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
  17264. objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
  17265. silent='warn', subsample=1.0, subsample_for_bin=200000,
  17266. subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17267. 2022-02-04 15:08:46,546:INFO:Checking exceptions
  17268. 2022-02-04 15:08:46,546:INFO:Importing libraries
  17269. 2022-02-04 15:08:46,546:INFO:Copying training dataset
  17270. 2022-02-04 15:08:46,546:INFO:Defining folds
  17271. 2022-02-04 15:08:46,546:INFO:Declaring metric variables
  17272. 2022-02-04 15:08:46,546:INFO:Importing untrained model
  17273. 2022-02-04 15:08:46,547:INFO:Declaring custom model
  17274. 2022-02-04 15:08:46,547:INFO:Light Gradient Boosting Machine Imported succesfully
  17275. 2022-02-04 15:08:46,547:INFO:Cross validation set to False
  17276. 2022-02-04 15:08:46,547:INFO:Fitting Model
  17277. 2022-02-04 15:08:47,475:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  17278. device='gpu', importance_type='split', learning_rate=0.1,
  17279. max_depth=-1, min_child_samples=20, min_child_weight=0.001,
  17280. min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
  17281. objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
  17282. silent='warn', subsample=1.0, subsample_for_bin=200000,
  17283. subsample_freq=0)
  17284. 2022-02-04 15:08:47,476:INFO:create_models() succesfully completed......................................
  17285. 2022-02-04 15:08:47,604:INFO:Initializing create_model()
  17286. 2022-02-04 15:08:47,605:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  17287. max_depth=None, max_features=None, max_leaf_nodes=None,
  17288. min_impurity_decrease=0.0, min_impurity_split=None,
  17289. min_samples_leaf=1, min_samples_split=2,
  17290. min_weight_fraction_leaf=0.0, presort='deprecated',
  17291. random_state=4409, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17292. 2022-02-04 15:08:47,605:INFO:Checking exceptions
  17293. 2022-02-04 15:08:47,605:INFO:Importing libraries
  17294. 2022-02-04 15:08:47,605:INFO:Copying training dataset
  17295. 2022-02-04 15:08:47,606:INFO:Defining folds
  17296. 2022-02-04 15:08:47,606:INFO:Declaring metric variables
  17297. 2022-02-04 15:08:47,606:INFO:Importing untrained model
  17298. 2022-02-04 15:08:47,606:INFO:Declaring custom model
  17299. 2022-02-04 15:08:47,606:INFO:Decision Tree Classifier Imported succesfully
  17300. 2022-02-04 15:08:47,607:INFO:Cross validation set to False
  17301. 2022-02-04 15:08:47,607:INFO:Fitting Model
  17302. 2022-02-04 15:08:47,695:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  17303. max_depth=None, max_features=None, max_leaf_nodes=None,
  17304. min_impurity_decrease=0.0, min_impurity_split=None,
  17305. min_samples_leaf=1, min_samples_split=2,
  17306. min_weight_fraction_leaf=0.0, presort='deprecated',
  17307. random_state=4409, splitter='best')
  17308. 2022-02-04 15:08:47,695:INFO:create_models() succesfully completed......................................
  17309. 2022-02-04 15:08:47,815:INFO:create_model_container: 19
  17310. 2022-02-04 15:08:47,815:INFO:master_model_container: 19
  17311. 2022-02-04 15:08:47,815:INFO:display_container: 5
  17312. 2022-02-04 15:08:47,817:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  17313. criterion='gini', max_depth=None, max_features='auto',
  17314. max_leaf_nodes=None, max_samples=None,
  17315. min_impurity_decrease=0.0, min_impurity_split=None,
  17316. min_samples_leaf=1, min_samples_split=2,
  17317. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  17318. oob_score=False, random_state=4409, verbose=0,
  17319. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  17320. criterion='gini', max_depth=None, max_features='auto',
  17321. max_leaf_nodes=None, max_samples=None,
  17322. min_impurity_decrease=0.0, min_impurity_split=None,
  17323. min_samples_leaf=1, min_samples_split=2,
  17324. min_weight_fraction_leaf=0.0, n_estimators=100,
  17325. n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
  17326. warm_start=False), <catboost.core.CatBoostClassifier object at 0x0000019A491A57C0>, XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17327. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17328. gamma=0, gpu_id=0, importance_type=None,
  17329. interaction_constraints='', learning_rate=0.300000012,
  17330. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  17331. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  17332. num_parallel_tree=1, objective='binary:logistic',
  17333. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  17334. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  17335. use_label_encoder=True, validate_parameters=1, verbosity=0), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  17336. device='gpu', importance_type='split', learning_rate=0.1,
  17337. max_depth=-1, min_child_samples=20, min_child_weight=0.001,
  17338. min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
  17339. objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
  17340. silent='warn', subsample=1.0, subsample_for_bin=200000,
  17341. subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  17342. max_depth=None, max_features=None, max_leaf_nodes=None,
  17343. min_impurity_decrease=0.0, min_impurity_split=None,
  17344. min_samples_leaf=1, min_samples_split=2,
  17345. min_weight_fraction_leaf=0.0, presort='deprecated',
  17346. random_state=4409, splitter='best')]
  17347. 2022-02-04 15:08:47,817:INFO:compare_models() succesfully completed......................................
  17348. 2022-02-04 15:12:54,460:INFO:Initializing create_model()
  17349. 2022-02-04 15:12:54,460:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  17350. 2022-02-04 15:12:54,460:INFO:Checking exceptions
  17351. 2022-02-04 15:12:54,461:INFO:Preparing display monitor
  17352. 2022-02-04 15:12:54,472:INFO:Importing libraries
  17353. 2022-02-04 15:12:54,472:INFO:Copying training dataset
  17354. 2022-02-04 15:12:54,473:INFO:Defining folds
  17355. 2022-02-04 15:12:54,473:INFO:Declaring metric variables
  17356. 2022-02-04 15:12:54,478:INFO:Importing untrained model
  17357. 2022-02-04 15:12:54,483:INFO:Extreme Gradient Boosting Imported succesfully
  17358. 2022-02-04 15:12:54,493:INFO:Starting cross validation
  17359. 2022-02-04 15:12:54,494:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17360. 2022-02-04 15:13:39,368:INFO:Calculating mean and std
  17361. 2022-02-04 15:13:39,369:INFO:Creating metrics dataframe
  17362. 2022-02-04 15:13:39,380:INFO:Finalizing model
  17363. 2022-02-04 15:13:43,426:INFO:Uploading results into container
  17364. 2022-02-04 15:13:43,426:INFO:Uploading model into container now
  17365. 2022-02-04 15:13:43,434:INFO:create_model_container: 20
  17366. 2022-02-04 15:13:43,435:INFO:master_model_container: 20
  17367. 2022-02-04 15:13:43,435:INFO:display_container: 6
  17368. 2022-02-04 15:13:43,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17369. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17370. gamma=0, gpu_id=0, importance_type=None,
  17371. interaction_constraints='', learning_rate=0.300000012,
  17372. max_delta_step=0, max_depth=16, max_leaves=255,
  17373. min_child_weight=1, missing=nan, monotone_constraints='()',
  17374. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17375. objective='binary:logistic', predictor='auto', random_state=4409,
  17376. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17377. tree_method='gpu_hist', use_label_encoder=True,
  17378. validate_parameters=1, ...)
  17379. 2022-02-04 15:13:43,436:INFO:create_model() succesfully completed......................................
  17380. 2022-02-04 15:15:36,827:INFO:PyCaret Supervised Module
  17381. 2022-02-04 15:15:36,827:INFO:ML Usecase: classification
  17382. 2022-02-04 15:15:36,827:INFO:version 2.3.6
  17383. 2022-02-04 15:15:36,827:INFO:Initializing setup()
  17384. 2022-02-04 15:15:36,827:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  17385. 2022-02-04 15:15:36,827:INFO:Checking environment
  17386. 2022-02-04 15:15:36,827:INFO:python_version: 3.8.12
  17387. 2022-02-04 15:15:36,828:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  17388. 2022-02-04 15:15:36,828:INFO:machine: AMD64
  17389. 2022-02-04 15:15:36,828:INFO:platform: Windows-10-10.0.22000-SP0
  17390. 2022-02-04 15:15:36,828:INFO:Memory: svmem(total=68629372928, available=43907321856, percent=36.0, used=24722051072, free=43907321856)
  17391. 2022-02-04 15:15:36,828:INFO:Physical Core: 16
  17392. 2022-02-04 15:15:36,828:INFO:Logical Core: 32
  17393. 2022-02-04 15:15:36,828:INFO:Checking libraries
  17394. 2022-02-04 15:15:36,828:INFO:pd==1.3.5
  17395. 2022-02-04 15:15:36,828:INFO:numpy==1.21.5
  17396. 2022-02-04 15:15:36,828:INFO:sklearn==0.23.2
  17397. 2022-02-04 15:15:36,828:INFO:lightgbm==3.3.2
  17398. 2022-02-04 15:15:36,828:INFO:catboost==1.0.4
  17399. 2022-02-04 15:15:36,828:INFO:xgboost==1.5.2
  17400. 2022-02-04 15:15:36,828:INFO:mlflow==1.23.1
  17401. 2022-02-04 15:15:36,828:INFO:Checking Exceptions
  17402. 2022-02-04 15:15:36,828:INFO:Declaring global variables
  17403. 2022-02-04 15:15:36,828:INFO:USI: a197
  17404. 2022-02-04 15:15:36,828:INFO:pycaret_globals: {'log_plots_param', '_gpu_n_jobs_param', 'prep_pipe', 'fix_imbalance_method_param', '_ml_usecase', 'iterative_imputation_iters_param', 'USI', '_internal_pipeline', 'n_jobs_param', 'X_train', 'y_test', 'data_before_preprocess', 'X', 'stratify_param', '_all_models_internal', 'imputation_regressor', 'fix_imbalance_param', 'pycaret_globals', '_all_models', 'html_param', 'imputation_classifier', 'fold_generator', 'transform_target_param', 'target_param', 'y', 'fold_groups_param', 'create_model_container', 'X_test', 'fold_shuffle_param', 'logging_param', 'y_train', 'transform_target_method_param', 'gpu_param', '_available_plots', '_all_metrics', 'fold_param', 'experiment__', 'master_model_container', 'display_container', 'seed', 'fold_groups_param_full', 'exp_name_log'}
  17405. 2022-02-04 15:15:36,828:INFO:Preparing display monitor
  17406. 2022-02-04 15:15:36,828:INFO:Preparing display monitor
  17407. 2022-02-04 15:15:36,836:INFO:Importing libraries
  17408. 2022-02-04 15:15:36,837:INFO:Copying data for preprocessing
  17409. 2022-02-04 15:15:36,842:INFO:Declaring preprocessing parameters
  17410. 2022-02-04 15:15:36,843:WARNING:cuML not found
  17411. 2022-02-04 15:15:36,843:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  17412. 2022-02-04 15:15:36,846:INFO:Creating preprocessing pipeline
  17413. 2022-02-04 15:15:36,900:INFO:Preprocessing pipeline created successfully
  17414. 2022-02-04 15:15:36,901:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  17415. 2022-02-04 15:15:36,901:INFO:Creating global containers
  17416. 2022-02-04 15:15:36,901:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  17417. 2022-02-04 15:15:38,527:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  17418. 2022-02-04 15:15:38,563:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  17419. 2022-02-04 15:15:38,564:WARNING:Couldn't import cuml.MBSGDClassifier
  17420. 2022-02-04 15:15:38,565:WARNING:Couldn't import cuml.svm.SVC
  17421. 2022-02-04 15:15:38,584:WARNING:Couldn't import cuml.linear_model
  17422. 2022-02-04 15:15:38,588:WARNING:Couldn't import cuml.ensemble
  17423. 2022-02-04 15:15:38,745:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  17424. 2022-02-04 15:15:38,805:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  17425. 2022-02-04 15:15:38,807:WARNING:Couldn't import cuml.MBSGDClassifier
  17426. 2022-02-04 15:15:38,808:WARNING:Couldn't import cuml.svm.SVC
  17427. 2022-02-04 15:15:38,838:WARNING:Couldn't import cuml.linear_model
  17428. 2022-02-04 15:15:38,845:WARNING:Couldn't import cuml.ensemble
  17429. 2022-02-04 15:15:39,014:INFO:Creating grid variables
  17430. 2022-02-04 15:15:39,027:INFO:create_model_container: 0
  17431. 2022-02-04 15:15:39,027:INFO:master_model_container: 0
  17432. 2022-02-04 15:15:39,028:INFO:display_container: 1
  17433. 2022-02-04 15:15:39,033:INFO:Pipeline(memory=None,
  17434. steps=[('dtypes',
  17435. DataTypes_Auto_infer(categorical_features=[],
  17436. display_types=True, features_todrop=[],
  17437. id_columns=[],
  17438. ml_usecase='classification',
  17439. numerical_features=[], target='label',
  17440. time_features=[])),
  17441. ('imputer',
  17442. Simple_Imputer(categorical_strategy='not_available',
  17443. fill_value_categorical=None,
  17444. fill_value_numerical=None,
  17445. numeric_strate...
  17446. target='label')),
  17447. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17448. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17449. ('dummy', Dummify(target='label')),
  17450. ('fix_perfect', Remove_100(target='label')),
  17451. ('clean_names', Clean_Colum_Names()),
  17452. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17453. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17454. verbose=False)
  17455. 2022-02-04 15:15:39,034:INFO:setup() succesfully completed......................................
  17456. 2022-02-04 15:15:41,539:INFO:Initializing create_model()
  17457. 2022-02-04 15:15:41,539:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  17458. 2022-02-04 15:15:41,539:INFO:Checking exceptions
  17459. 2022-02-04 15:15:41,539:INFO:Preparing display monitor
  17460. 2022-02-04 15:15:41,550:INFO:Importing libraries
  17461. 2022-02-04 15:15:41,551:INFO:Copying training dataset
  17462. 2022-02-04 15:15:41,552:INFO:Defining folds
  17463. 2022-02-04 15:15:41,552:INFO:Declaring metric variables
  17464. 2022-02-04 15:15:41,557:INFO:Importing untrained model
  17465. 2022-02-04 15:15:41,562:INFO:Extreme Gradient Boosting Imported succesfully
  17466. 2022-02-04 15:15:41,572:INFO:Starting cross validation
  17467. 2022-02-04 15:15:41,573:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17468. 2022-02-04 15:16:16,847:INFO:Calculating mean and std
  17469. 2022-02-04 15:16:16,848:INFO:Creating metrics dataframe
  17470. 2022-02-04 15:16:16,857:INFO:Finalizing model
  17471. 2022-02-04 15:16:20,218:INFO:Uploading results into container
  17472. 2022-02-04 15:16:20,218:INFO:Uploading model into container now
  17473. 2022-02-04 15:16:20,226:INFO:create_model_container: 1
  17474. 2022-02-04 15:16:20,226:INFO:master_model_container: 1
  17475. 2022-02-04 15:16:20,226:INFO:display_container: 2
  17476. 2022-02-04 15:16:20,228:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17477. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17478. gamma=0, gpu_id=0, importance_type=None,
  17479. interaction_constraints='', learning_rate=0.300000012,
  17480. max_delta_step=0, max_depth=16, max_leaves=255,
  17481. min_child_weight=1, missing=nan, monotone_constraints='()',
  17482. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17483. objective='binary:logistic', predictor='auto', random_state=3750,
  17484. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17485. tree_method='gpu_hist', use_label_encoder=True,
  17486. validate_parameters=1, ...)
  17487. 2022-02-04 15:16:20,228:INFO:create_model() succesfully completed......................................
  17488. 2022-02-04 15:23:48,139:INFO:Initializing create_model()
  17489. 2022-02-04 15:23:48,140:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  17490. 2022-02-04 15:23:48,140:INFO:Checking exceptions
  17491. 2022-02-04 15:23:48,140:INFO:Preparing display monitor
  17492. 2022-02-04 15:23:48,151:INFO:Importing libraries
  17493. 2022-02-04 15:23:48,151:INFO:Copying training dataset
  17494. 2022-02-04 15:23:48,153:INFO:Defining folds
  17495. 2022-02-04 15:23:48,153:INFO:Declaring metric variables
  17496. 2022-02-04 15:23:48,158:INFO:Importing untrained model
  17497. 2022-02-04 15:23:48,163:INFO:Extreme Gradient Boosting Imported succesfully
  17498. 2022-02-04 15:23:48,173:INFO:Starting cross validation
  17499. 2022-02-04 15:23:48,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17500. 2022-02-04 15:24:23,826:INFO:Calculating mean and std
  17501. 2022-02-04 15:24:23,827:INFO:Creating metrics dataframe
  17502. 2022-02-04 15:24:23,836:INFO:Finalizing model
  17503. 2022-02-04 15:24:28,116:INFO:Uploading results into container
  17504. 2022-02-04 15:24:28,116:INFO:Uploading model into container now
  17505. 2022-02-04 15:24:28,124:INFO:create_model_container: 2
  17506. 2022-02-04 15:24:28,124:INFO:master_model_container: 2
  17507. 2022-02-04 15:24:28,124:INFO:display_container: 3
  17508. 2022-02-04 15:24:28,125:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17509. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17510. gamma=0, gpu_id=0, importance_type=None,
  17511. interaction_constraints='', learning_rate=0.300000012,
  17512. max_delta_step=0, max_depth=16, max_leaves=255,
  17513. min_child_weight=1, missing=nan, monotone_constraints='()',
  17514. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17515. objective='binary:logistic', predictor='auto', random_state=3750,
  17516. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17517. tree_method='gpu_hist', use_label_encoder=True,
  17518. validate_parameters=1, ...)
  17519. 2022-02-04 15:24:28,125:INFO:create_model() succesfully completed......................................
  17520. 2022-02-04 15:24:50,660:INFO:Initializing evaluate_model()
  17521. 2022-02-04 15:24:50,660:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17522. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17523. gamma=0, gpu_id=0, importance_type=None,
  17524. interaction_constraints='', learning_rate=0.300000012,
  17525. max_delta_step=0, max_depth=16, max_leaves=255,
  17526. min_child_weight=1, missing=nan, monotone_constraints='()',
  17527. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17528. objective='binary:logistic', predictor='auto', random_state=3750,
  17529. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17530. tree_method='gpu_hist', use_label_encoder=True,
  17531. validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  17532. 2022-02-04 15:24:50,672:INFO:Initializing plot_model()
  17533. 2022-02-04 15:24:50,672:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17534. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17535. gamma=0, gpu_id=0, importance_type=None,
  17536. interaction_constraints='', learning_rate=0.300000012,
  17537. max_delta_step=0, max_depth=16, max_leaves=255,
  17538. min_child_weight=1, missing=nan, monotone_constraints='()',
  17539. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17540. objective='binary:logistic', predictor='auto', random_state=3750,
  17541. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17542. tree_method='gpu_hist', use_label_encoder=True,
  17543. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  17544. 2022-02-04 15:24:50,672:INFO:Checking exceptions
  17545. 2022-02-04 15:24:50,674:INFO:Preparing display monitor
  17546. 2022-02-04 15:24:50,678:INFO:Preloading libraries
  17547. 2022-02-04 15:24:50,778:INFO:Copying training dataset
  17548. 2022-02-04 15:24:50,779:INFO:Copying test dataset
  17549. 2022-02-04 15:24:50,780:INFO:Plot type: parameter
  17550. 2022-02-04 15:24:50,788:INFO:Visual Rendered Successfully
  17551. 2022-02-04 15:24:50,894:INFO:plot_model() succesfully completed......................................
  17552. 2022-02-04 15:25:19,632:INFO:Initializing plot_model()
  17553. 2022-02-04 15:25:19,632:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17554. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17555. gamma=0, gpu_id=0, importance_type=None,
  17556. interaction_constraints='', learning_rate=0.300000012,
  17557. max_delta_step=0, max_depth=16, max_leaves=255,
  17558. min_child_weight=1, missing=nan, monotone_constraints='()',
  17559. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17560. objective='binary:logistic', predictor='auto', random_state=3750,
  17561. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17562. tree_method='gpu_hist', use_label_encoder=True,
  17563. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  17564. 2022-02-04 15:25:19,632:INFO:Checking exceptions
  17565. 2022-02-04 15:25:19,634:INFO:Preparing display monitor
  17566. 2022-02-04 15:25:19,638:INFO:Preloading libraries
  17567. 2022-02-04 15:25:19,731:INFO:Copying training dataset
  17568. 2022-02-04 15:25:19,732:INFO:Copying test dataset
  17569. 2022-02-04 15:25:19,733:INFO:Plot type: error
  17570. 2022-02-04 15:25:19,737:INFO:Initializing get_config()
  17571. 2022-02-04 15:25:19,737:INFO:get_config(variable=prep_pipe)
  17572. 2022-02-04 15:25:19,740:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  17573. steps=[('dtypes',
  17574. DataTypes_Auto_infer(categorical_features=[],
  17575. display_types=True, features_todrop=[],
  17576. id_columns=[],
  17577. ml_usecase='classification',
  17578. numerical_features=[], target='label',
  17579. time_features=[])),
  17580. ('imputer',
  17581. Simple_Imputer(categorical_strategy='not_available',
  17582. fill_value_categorical=None,
  17583. fill_value_numerical=None,
  17584. numeric_strate...
  17585. target='label')),
  17586. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17587. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17588. ('dummy', Dummify(target='label')),
  17589. ('fix_perfect', Remove_100(target='label')),
  17590. ('clean_names', Clean_Colum_Names()),
  17591. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17592. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17593. verbose=False)
  17594. 2022-02-04 15:25:19,740:INFO:get_config() succesfully completed......................................
  17595. 2022-02-04 15:25:19,748:INFO:Fitting Model
  17596. 2022-02-04 15:25:19,749:INFO:Scoring test/hold-out set
  17597. 2022-02-04 15:25:19,890:INFO:Visual Rendered Successfully
  17598. 2022-02-04 15:25:19,989:INFO:plot_model() succesfully completed......................................
  17599. 2022-02-04 15:25:24,331:INFO:Initializing plot_model()
  17600. 2022-02-04 15:25:24,331:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17601. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17602. gamma=0, gpu_id=0, importance_type=None,
  17603. interaction_constraints='', learning_rate=0.300000012,
  17604. max_delta_step=0, max_depth=16, max_leaves=255,
  17605. min_child_weight=1, missing=nan, monotone_constraints='()',
  17606. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17607. objective='binary:logistic', predictor='auto', random_state=3750,
  17608. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17609. tree_method='gpu_hist', use_label_encoder=True,
  17610. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  17611. 2022-02-04 15:25:24,331:INFO:Checking exceptions
  17612. 2022-02-04 15:25:24,333:INFO:Preparing display monitor
  17613. 2022-02-04 15:25:24,337:INFO:Preloading libraries
  17614. 2022-02-04 15:25:24,428:INFO:Copying training dataset
  17615. 2022-02-04 15:25:24,430:INFO:Copying test dataset
  17616. 2022-02-04 15:25:24,430:INFO:Plot type: class_report
  17617. 2022-02-04 15:25:24,434:INFO:Initializing get_config()
  17618. 2022-02-04 15:25:24,434:INFO:get_config(variable=prep_pipe)
  17619. 2022-02-04 15:25:24,437:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  17620. steps=[('dtypes',
  17621. DataTypes_Auto_infer(categorical_features=[],
  17622. display_types=True, features_todrop=[],
  17623. id_columns=[],
  17624. ml_usecase='classification',
  17625. numerical_features=[], target='label',
  17626. time_features=[])),
  17627. ('imputer',
  17628. Simple_Imputer(categorical_strategy='not_available',
  17629. fill_value_categorical=None,
  17630. fill_value_numerical=None,
  17631. numeric_strate...
  17632. target='label')),
  17633. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17634. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17635. ('dummy', Dummify(target='label')),
  17636. ('fix_perfect', Remove_100(target='label')),
  17637. ('clean_names', Clean_Colum_Names()),
  17638. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17639. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17640. verbose=False)
  17641. 2022-02-04 15:25:24,437:INFO:get_config() succesfully completed......................................
  17642. 2022-02-04 15:25:24,445:INFO:Fitting Model
  17643. 2022-02-04 15:25:24,447:INFO:Scoring test/hold-out set
  17644. 2022-02-04 15:25:24,612:INFO:Visual Rendered Successfully
  17645. 2022-02-04 15:25:24,707:INFO:plot_model() succesfully completed......................................
  17646. 2022-02-04 15:26:05,671:INFO:Initializing plot_model()
  17647. 2022-02-04 15:26:05,671:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17648. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17649. gamma=0, gpu_id=0, importance_type=None,
  17650. interaction_constraints='', learning_rate=0.300000012,
  17651. max_delta_step=0, max_depth=16, max_leaves=255,
  17652. min_child_weight=1, missing=nan, monotone_constraints='()',
  17653. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17654. objective='binary:logistic', predictor='auto', random_state=3750,
  17655. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17656. tree_method='gpu_hist', use_label_encoder=True,
  17657. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  17658. 2022-02-04 15:26:05,671:INFO:Checking exceptions
  17659. 2022-02-04 15:26:05,673:INFO:Preparing display monitor
  17660. 2022-02-04 15:26:05,677:INFO:Preloading libraries
  17661. 2022-02-04 15:26:05,773:INFO:Copying training dataset
  17662. 2022-02-04 15:26:05,774:INFO:Copying test dataset
  17663. 2022-02-04 15:26:05,774:INFO:Plot type: feature_all
  17664. 2022-02-04 15:26:05,779:WARNING:No coef_ found. Trying feature_importances_
  17665. 2022-02-04 15:26:05,889:INFO:Visual Rendered Successfully
  17666. 2022-02-04 15:26:05,989:INFO:plot_model() succesfully completed......................................
  17667. 2022-02-04 15:26:10,817:INFO:Initializing plot_model()
  17668. 2022-02-04 15:26:10,817:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17669. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17670. gamma=0, gpu_id=0, importance_type=None,
  17671. interaction_constraints='', learning_rate=0.300000012,
  17672. max_delta_step=0, max_depth=16, max_leaves=255,
  17673. min_child_weight=1, missing=nan, monotone_constraints='()',
  17674. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17675. objective='binary:logistic', predictor='auto', random_state=3750,
  17676. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17677. tree_method='gpu_hist', use_label_encoder=True,
  17678. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
  17679. 2022-02-04 15:26:10,817:INFO:Checking exceptions
  17680. 2022-02-04 15:26:10,819:INFO:Preparing display monitor
  17681. 2022-02-04 15:26:10,823:INFO:Preloading libraries
  17682. 2022-02-04 15:26:10,915:INFO:Copying training dataset
  17683. 2022-02-04 15:26:10,916:INFO:Copying test dataset
  17684. 2022-02-04 15:26:10,916:INFO:Plot type: rfe
  17685. 2022-02-04 15:26:10,931:INFO:Fitting Model
  17686. 2022-02-04 15:33:43,230:INFO:PyCaret Supervised Module
  17687. 2022-02-04 15:33:43,230:INFO:ML Usecase: classification
  17688. 2022-02-04 15:33:43,230:INFO:version 2.3.6
  17689. 2022-02-04 15:33:43,230:INFO:Initializing setup()
  17690. 2022-02-04 15:33:43,230:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  17691. 2022-02-04 15:33:43,230:INFO:Checking environment
  17692. 2022-02-04 15:33:43,230:INFO:python_version: 3.8.12
  17693. 2022-02-04 15:33:43,230:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  17694. 2022-02-04 15:33:43,230:INFO:machine: AMD64
  17695. 2022-02-04 15:33:43,230:INFO:platform: Windows-10-10.0.22000-SP0
  17696. 2022-02-04 15:33:43,231:INFO:Memory: svmem(total=68629372928, available=44785848320, percent=34.7, used=23843524608, free=44785848320)
  17697. 2022-02-04 15:33:43,231:INFO:Physical Core: 16
  17698. 2022-02-04 15:33:43,231:INFO:Logical Core: 32
  17699. 2022-02-04 15:33:43,231:INFO:Checking libraries
  17700. 2022-02-04 15:33:43,231:INFO:pd==1.3.5
  17701. 2022-02-04 15:33:43,231:INFO:numpy==1.21.5
  17702. 2022-02-04 15:33:43,231:INFO:sklearn==0.23.2
  17703. 2022-02-04 15:33:43,231:INFO:lightgbm==3.3.2
  17704. 2022-02-04 15:33:43,243:INFO:catboost==1.0.4
  17705. 2022-02-04 15:33:43,336:INFO:xgboost==1.5.2
  17706. 2022-02-04 15:33:43,632:INFO:mlflow==1.23.1
  17707. 2022-02-04 15:33:43,633:INFO:Checking Exceptions
  17708. 2022-02-04 15:33:43,633:INFO:Declaring global variables
  17709. 2022-02-04 15:33:43,633:INFO:USI: 229f
  17710. 2022-02-04 15:33:43,633:INFO:pycaret_globals: {'log_plots_param', '_available_plots', 'transform_target_method_param', '_gpu_n_jobs_param', 'y', 'target_param', 'y_test', 'create_model_container', '_ml_usecase', '_all_models_internal', '_internal_pipeline', 'n_jobs_param', 'experiment__', 'y_train', 'logging_param', 'fix_imbalance_method_param', 'data_before_preprocess', 'display_container', 'gpu_param', 'stratify_param', 'imputation_regressor', 'pycaret_globals', 'fold_generator', 'master_model_container', 'imputation_classifier', 'fold_groups_param', 'fold_shuffle_param', 'prep_pipe', 'X_test', 'fold_groups_param_full', '_all_metrics', 'seed', 'transform_target_param', 'fold_param', 'USI', 'iterative_imputation_iters_param', '_all_models', 'X', 'X_train', 'fix_imbalance_param', 'exp_name_log', 'html_param'}
  17711. 2022-02-04 15:33:43,633:INFO:Preparing display monitor
  17712. 2022-02-04 15:33:43,633:INFO:Preparing display monitor
  17713. 2022-02-04 15:33:43,642:INFO:Importing libraries
  17714. 2022-02-04 15:33:43,643:INFO:Copying data for preprocessing
  17715. 2022-02-04 15:33:43,648:INFO:Declaring preprocessing parameters
  17716. 2022-02-04 15:33:43,649:WARNING:cuML not found
  17717. 2022-02-04 15:33:43,649:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  17718. 2022-02-04 15:33:43,652:INFO:Creating preprocessing pipeline
  17719. 2022-02-04 15:33:43,704:INFO:Preprocessing pipeline created successfully
  17720. 2022-02-04 15:33:43,704:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  17721. 2022-02-04 15:33:43,704:INFO:Creating global containers
  17722. 2022-02-04 15:33:43,706:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  17723. 2022-02-04 15:33:45,997:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  17724. 2022-02-04 15:33:46,032:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  17725. 2022-02-04 15:33:46,034:WARNING:Couldn't import cuml.MBSGDClassifier
  17726. 2022-02-04 15:33:46,035:WARNING:Couldn't import cuml.svm.SVC
  17727. 2022-02-04 15:33:46,055:WARNING:Couldn't import cuml.linear_model
  17728. 2022-02-04 15:33:46,059:WARNING:Couldn't import cuml.ensemble
  17729. 2022-02-04 15:33:46,251:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  17730. 2022-02-04 15:33:46,312:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  17731. 2022-02-04 15:33:46,313:WARNING:Couldn't import cuml.MBSGDClassifier
  17732. 2022-02-04 15:33:46,314:WARNING:Couldn't import cuml.svm.SVC
  17733. 2022-02-04 15:33:46,348:WARNING:Couldn't import cuml.linear_model
  17734. 2022-02-04 15:33:46,353:WARNING:Couldn't import cuml.ensemble
  17735. 2022-02-04 15:33:46,473:INFO:Creating grid variables
  17736. 2022-02-04 15:33:46,487:INFO:create_model_container: 0
  17737. 2022-02-04 15:33:46,487:INFO:master_model_container: 0
  17738. 2022-02-04 15:33:46,487:INFO:display_container: 1
  17739. 2022-02-04 15:33:46,493:INFO:Pipeline(memory=None,
  17740. steps=[('dtypes',
  17741. DataTypes_Auto_infer(categorical_features=[],
  17742. display_types=True, features_todrop=[],
  17743. id_columns=[],
  17744. ml_usecase='classification',
  17745. numerical_features=[], target='label',
  17746. time_features=[])),
  17747. ('imputer',
  17748. Simple_Imputer(categorical_strategy='not_available',
  17749. fill_value_categorical=None,
  17750. fill_value_numerical=None,
  17751. numeric_strate...
  17752. target='label')),
  17753. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17754. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17755. ('dummy', Dummify(target='label')),
  17756. ('fix_perfect', Remove_100(target='label')),
  17757. ('clean_names', Clean_Colum_Names()),
  17758. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17759. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17760. verbose=False)
  17761. 2022-02-04 15:33:46,494:INFO:setup() succesfully completed......................................
  17762. 2022-02-04 15:33:55,377:INFO:Initializing create_model()
  17763. 2022-02-04 15:33:55,378:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  17764. 2022-02-04 15:33:55,378:INFO:Checking exceptions
  17765. 2022-02-04 15:33:55,378:INFO:Preparing display monitor
  17766. 2022-02-04 15:33:55,389:INFO:Importing libraries
  17767. 2022-02-04 15:33:55,389:INFO:Copying training dataset
  17768. 2022-02-04 15:33:55,390:INFO:Defining folds
  17769. 2022-02-04 15:33:55,390:INFO:Declaring metric variables
  17770. 2022-02-04 15:33:55,396:INFO:Importing untrained model
  17771. 2022-02-04 15:33:55,401:INFO:Extreme Gradient Boosting Imported succesfully
  17772. 2022-02-04 15:33:55,410:INFO:Starting cross validation
  17773. 2022-02-04 15:33:55,411:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17774. 2022-02-04 15:34:27,741:INFO:Calculating mean and std
  17775. 2022-02-04 15:34:27,742:INFO:Creating metrics dataframe
  17776. 2022-02-04 15:34:27,753:INFO:Finalizing model
  17777. 2022-02-04 15:34:31,084:INFO:Uploading results into container
  17778. 2022-02-04 15:34:31,085:INFO:Uploading model into container now
  17779. 2022-02-04 15:34:31,093:INFO:create_model_container: 1
  17780. 2022-02-04 15:34:31,093:INFO:master_model_container: 1
  17781. 2022-02-04 15:34:31,093:INFO:display_container: 2
  17782. 2022-02-04 15:34:31,094:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17783. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17784. gamma=0, gpu_id=0, importance_type=None,
  17785. interaction_constraints='', learning_rate=0.300000012,
  17786. max_delta_step=0, max_depth=16, max_leaves=255,
  17787. min_child_weight=1, missing=nan, monotone_constraints='()',
  17788. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17789. objective='binary:logistic', predictor='auto', random_state=8974,
  17790. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17791. tree_method='gpu_hist', use_label_encoder=True,
  17792. validate_parameters=1, ...)
  17793. 2022-02-04 15:34:31,094:INFO:create_model() succesfully completed......................................
  17794. 2022-02-04 15:34:51,425:INFO:Initializing tune_model()
  17795. 2022-02-04 15:34:51,425:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17796. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17797. gamma=0, gpu_id=0, importance_type=None,
  17798. interaction_constraints='', learning_rate=0.300000012,
  17799. max_delta_step=0, max_depth=16, max_leaves=255,
  17800. min_child_weight=1, missing=nan, monotone_constraints='()',
  17801. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17802. objective='binary:logistic', predictor='auto', random_state=8974,
  17803. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17804. tree_method='gpu_hist', use_label_encoder=True,
  17805. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12]}, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  17806. 2022-02-04 15:34:51,425:INFO:Checking exceptions
  17807. 2022-02-04 15:34:51,426:INFO:Preparing display monitor
  17808. 2022-02-04 15:34:51,437:INFO:Copying training dataset
  17809. 2022-02-04 15:34:51,438:INFO:Checking base model
  17810. 2022-02-04 15:34:51,438:INFO:Base model : Extreme Gradient Boosting
  17811. 2022-02-04 15:34:51,445:INFO:Declaring metric variables
  17812. 2022-02-04 15:34:51,450:INFO:Defining Hyperparameters
  17813. 2022-02-04 15:34:51,547:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12]}
  17814. 2022-02-04 15:34:51,547:INFO:Tuning with n_jobs=1
  17815. 2022-02-04 15:34:51,547:INFO:Initializing RandomizedSearchCV
  17816. 2022-02-04 15:37:16,408:INFO:best_params: {'actual_estimator__max_depth': 16}
  17817. 2022-02-04 15:37:16,409:INFO:Hyperparameter search completed
  17818. 2022-02-04 15:37:16,409:INFO:SubProcess create_model() called ==================================
  17819. 2022-02-04 15:37:16,410:INFO:Initializing create_model()
  17820. 2022-02-04 15:37:16,410:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17821. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17822. gamma=0, gpu_id=0, importance_type=None,
  17823. interaction_constraints='', learning_rate=0.300000012,
  17824. max_delta_step=0, max_depth=16, max_leaves=255,
  17825. min_child_weight=1, missing=nan, monotone_constraints='()',
  17826. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17827. objective='binary:logistic', predictor='auto', random_state=8974,
  17828. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17829. tree_method='gpu_hist', use_label_encoder=True,
  17830. validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000014CC65C5FA0>, kwargs={'max_depth': 16})
  17831. 2022-02-04 15:37:16,410:INFO:Checking exceptions
  17832. 2022-02-04 15:37:16,410:INFO:Importing libraries
  17833. 2022-02-04 15:37:16,410:INFO:Copying training dataset
  17834. 2022-02-04 15:37:16,411:INFO:Defining folds
  17835. 2022-02-04 15:37:16,412:INFO:Declaring metric variables
  17836. 2022-02-04 15:37:16,418:INFO:Importing untrained model
  17837. 2022-02-04 15:37:16,419:INFO:Declaring custom model
  17838. 2022-02-04 15:37:16,426:INFO:Extreme Gradient Boosting Imported succesfully
  17839. 2022-02-04 15:37:16,442:INFO:Starting cross validation
  17840. 2022-02-04 15:37:16,443:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17841. 2022-02-04 15:37:50,240:INFO:Calculating mean and std
  17842. 2022-02-04 15:37:50,241:INFO:Creating metrics dataframe
  17843. 2022-02-04 15:37:50,251:INFO:Finalizing model
  17844. 2022-02-04 15:37:53,479:INFO:Uploading results into container
  17845. 2022-02-04 15:37:53,479:INFO:Uploading model into container now
  17846. 2022-02-04 15:37:53,479:INFO:create_model_container: 2
  17847. 2022-02-04 15:37:53,480:INFO:master_model_container: 2
  17848. 2022-02-04 15:37:53,480:INFO:display_container: 3
  17849. 2022-02-04 15:37:53,481:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17850. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17851. gamma=0, gpu_id=0, importance_type=None,
  17852. interaction_constraints='', learning_rate=0.300000012,
  17853. max_delta_step=0, max_depth=16, max_leaves=255,
  17854. min_child_weight=1, missing=nan, monotone_constraints='()',
  17855. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17856. objective='binary:logistic', predictor='auto', random_state=8974,
  17857. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17858. tree_method='gpu_hist', use_label_encoder=True,
  17859. validate_parameters=1, ...)
  17860. 2022-02-04 15:37:53,481:INFO:create_model() succesfully completed......................................
  17861. 2022-02-04 15:37:53,566:INFO:SubProcess create_model() end ==================================
  17862. 2022-02-04 15:37:53,575:INFO:create_model_container: 2
  17863. 2022-02-04 15:37:53,575:INFO:master_model_container: 2
  17864. 2022-02-04 15:37:53,575:INFO:display_container: 3
  17865. 2022-02-04 15:37:53,576:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17866. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17867. gamma=0, gpu_id=0, importance_type=None,
  17868. interaction_constraints='', learning_rate=0.300000012,
  17869. max_delta_step=0, max_depth=16, max_leaves=255,
  17870. min_child_weight=1, missing=nan, monotone_constraints='()',
  17871. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17872. objective='binary:logistic', predictor='auto', random_state=8974,
  17873. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17874. tree_method='gpu_hist', use_label_encoder=True,
  17875. validate_parameters=1, ...)
  17876. 2022-02-04 15:37:53,576:INFO:tune_model() succesfully completed......................................
  17877. 2022-02-04 15:38:12,611:INFO:Initializing evaluate_model()
  17878. 2022-02-04 15:38:12,611:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17879. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17880. gamma=0, gpu_id=0, importance_type=None,
  17881. interaction_constraints='', learning_rate=0.300000012,
  17882. max_delta_step=0, max_depth=16, max_leaves=255,
  17883. min_child_weight=1, missing=nan, monotone_constraints='()',
  17884. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17885. objective='binary:logistic', predictor='auto', random_state=8974,
  17886. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17887. tree_method='gpu_hist', use_label_encoder=True,
  17888. validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  17889. 2022-02-04 15:38:12,625:INFO:Initializing plot_model()
  17890. 2022-02-04 15:38:12,625:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17891. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17892. gamma=0, gpu_id=0, importance_type=None,
  17893. interaction_constraints='', learning_rate=0.300000012,
  17894. max_delta_step=0, max_depth=16, max_leaves=255,
  17895. min_child_weight=1, missing=nan, monotone_constraints='()',
  17896. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17897. objective='binary:logistic', predictor='auto', random_state=8974,
  17898. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17899. tree_method='gpu_hist', use_label_encoder=True,
  17900. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  17901. 2022-02-04 15:38:12,625:INFO:Checking exceptions
  17902. 2022-02-04 15:38:12,627:INFO:Preparing display monitor
  17903. 2022-02-04 15:38:12,631:INFO:Preloading libraries
  17904. 2022-02-04 15:38:12,724:INFO:Copying training dataset
  17905. 2022-02-04 15:38:12,725:INFO:Copying test dataset
  17906. 2022-02-04 15:38:12,725:INFO:Plot type: parameter
  17907. 2022-02-04 15:38:12,733:INFO:Visual Rendered Successfully
  17908. 2022-02-04 15:38:12,821:INFO:plot_model() succesfully completed......................................
  17909. 2022-02-04 15:38:15,395:INFO:Initializing plot_model()
  17910. 2022-02-04 15:38:15,395:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17911. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17912. gamma=0, gpu_id=0, importance_type=None,
  17913. interaction_constraints='', learning_rate=0.300000012,
  17914. max_delta_step=0, max_depth=16, max_leaves=255,
  17915. min_child_weight=1, missing=nan, monotone_constraints='()',
  17916. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17917. objective='binary:logistic', predictor='auto', random_state=8974,
  17918. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17919. tree_method='gpu_hist', use_label_encoder=True,
  17920. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  17921. 2022-02-04 15:38:15,395:INFO:Checking exceptions
  17922. 2022-02-04 15:38:15,397:INFO:Preparing display monitor
  17923. 2022-02-04 15:38:15,401:INFO:Preloading libraries
  17924. 2022-02-04 15:38:15,494:INFO:Copying training dataset
  17925. 2022-02-04 15:38:15,495:INFO:Copying test dataset
  17926. 2022-02-04 15:38:15,496:INFO:Plot type: confusion_matrix
  17927. 2022-02-04 15:38:15,500:INFO:Initializing get_config()
  17928. 2022-02-04 15:38:15,500:INFO:get_config(variable=prep_pipe)
  17929. 2022-02-04 15:38:15,504:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  17930. steps=[('dtypes',
  17931. DataTypes_Auto_infer(categorical_features=[],
  17932. display_types=True, features_todrop=[],
  17933. id_columns=[],
  17934. ml_usecase='classification',
  17935. numerical_features=[], target='label',
  17936. time_features=[])),
  17937. ('imputer',
  17938. Simple_Imputer(categorical_strategy='not_available',
  17939. fill_value_categorical=None,
  17940. fill_value_numerical=None,
  17941. numeric_strate...
  17942. target='label')),
  17943. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17944. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17945. ('dummy', Dummify(target='label')),
  17946. ('fix_perfect', Remove_100(target='label')),
  17947. ('clean_names', Clean_Colum_Names()),
  17948. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17949. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17950. verbose=False)
  17951. 2022-02-04 15:38:15,504:INFO:get_config() succesfully completed......................................
  17952. 2022-02-04 15:38:15,517:INFO:Fitting Model
  17953. 2022-02-04 15:38:15,518:INFO:Scoring test/hold-out set
  17954. 2022-02-04 15:38:15,681:INFO:Visual Rendered Successfully
  17955. 2022-02-04 15:38:15,768:INFO:plot_model() succesfully completed......................................
  17956. 2022-02-04 15:38:21,104:INFO:Initializing plot_model()
  17957. 2022-02-04 15:38:21,104:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17958. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17959. gamma=0, gpu_id=0, importance_type=None,
  17960. interaction_constraints='', learning_rate=0.300000012,
  17961. max_delta_step=0, max_depth=16, max_leaves=255,
  17962. min_child_weight=1, missing=nan, monotone_constraints='()',
  17963. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17964. objective='binary:logistic', predictor='auto', random_state=8974,
  17965. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17966. tree_method='gpu_hist', use_label_encoder=True,
  17967. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  17968. 2022-02-04 15:38:21,104:INFO:Checking exceptions
  17969. 2022-02-04 15:38:21,106:INFO:Preparing display monitor
  17970. 2022-02-04 15:38:21,109:INFO:Preloading libraries
  17971. 2022-02-04 15:38:21,200:INFO:Copying training dataset
  17972. 2022-02-04 15:38:21,201:INFO:Copying test dataset
  17973. 2022-02-04 15:38:21,201:INFO:Plot type: class_report
  17974. 2022-02-04 15:38:21,205:INFO:Initializing get_config()
  17975. 2022-02-04 15:38:21,205:INFO:get_config(variable=prep_pipe)
  17976. 2022-02-04 15:38:21,208:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  17977. steps=[('dtypes',
  17978. DataTypes_Auto_infer(categorical_features=[],
  17979. display_types=True, features_todrop=[],
  17980. id_columns=[],
  17981. ml_usecase='classification',
  17982. numerical_features=[], target='label',
  17983. time_features=[])),
  17984. ('imputer',
  17985. Simple_Imputer(categorical_strategy='not_available',
  17986. fill_value_categorical=None,
  17987. fill_value_numerical=None,
  17988. numeric_strate...
  17989. target='label')),
  17990. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17991. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17992. ('dummy', Dummify(target='label')),
  17993. ('fix_perfect', Remove_100(target='label')),
  17994. ('clean_names', Clean_Colum_Names()),
  17995. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17996. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17997. verbose=False)
  17998. 2022-02-04 15:38:21,208:INFO:get_config() succesfully completed......................................
  17999. 2022-02-04 15:38:21,216:INFO:Fitting Model
  18000. 2022-02-04 15:38:21,217:INFO:Scoring test/hold-out set
  18001. 2022-02-04 15:38:21,379:INFO:Visual Rendered Successfully
  18002. 2022-02-04 15:38:21,472:INFO:plot_model() succesfully completed......................................
  18003. 2022-02-04 15:38:31,617:INFO:Initializing plot_model()
  18004. 2022-02-04 15:38:31,617:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18005. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18006. gamma=0, gpu_id=0, importance_type=None,
  18007. interaction_constraints='', learning_rate=0.300000012,
  18008. max_delta_step=0, max_depth=16, max_leaves=255,
  18009. min_child_weight=1, missing=nan, monotone_constraints='()',
  18010. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18011. objective='binary:logistic', predictor='auto', random_state=8974,
  18012. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18013. tree_method='gpu_hist', use_label_encoder=True,
  18014. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  18015. 2022-02-04 15:38:31,617:INFO:Checking exceptions
  18016. 2022-02-04 15:38:31,620:INFO:Preparing display monitor
  18017. 2022-02-04 15:38:31,623:INFO:Preloading libraries
  18018. 2022-02-04 15:38:31,713:INFO:Copying training dataset
  18019. 2022-02-04 15:38:31,714:INFO:Copying test dataset
  18020. 2022-02-04 15:38:31,715:INFO:Plot type: feature_all
  18021. 2022-02-04 15:38:31,719:WARNING:No coef_ found. Trying feature_importances_
  18022. 2022-02-04 15:38:31,827:INFO:Visual Rendered Successfully
  18023. 2022-02-04 15:38:31,915:INFO:plot_model() succesfully completed......................................
  18024. 2022-02-04 16:03:12,528:INFO:Initializing create_model()
  18025. 2022-02-04 16:03:12,528:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  18026. 2022-02-04 16:03:12,528:INFO:Checking exceptions
  18027. 2022-02-04 16:03:12,528:INFO:Preparing display monitor
  18028. 2022-02-04 16:03:12,541:INFO:Importing libraries
  18029. 2022-02-04 16:03:12,541:INFO:Copying training dataset
  18030. 2022-02-04 16:03:12,542:INFO:Defining folds
  18031. 2022-02-04 16:03:12,542:INFO:Declaring metric variables
  18032. 2022-02-04 16:03:12,547:INFO:Importing untrained model
  18033. 2022-02-04 16:03:12,552:INFO:Extreme Gradient Boosting Imported succesfully
  18034. 2022-02-04 16:03:12,562:INFO:Starting cross validation
  18035. 2022-02-04 16:03:12,563:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18036. 2022-02-04 16:03:50,223:INFO:Calculating mean and std
  18037. 2022-02-04 16:03:50,224:INFO:Creating metrics dataframe
  18038. 2022-02-04 16:03:50,234:INFO:Finalizing model
  18039. 2022-02-04 16:03:54,493:INFO:Uploading results into container
  18040. 2022-02-04 16:03:54,493:INFO:Uploading model into container now
  18041. 2022-02-04 16:03:54,501:INFO:create_model_container: 3
  18042. 2022-02-04 16:03:54,501:INFO:master_model_container: 3
  18043. 2022-02-04 16:03:54,501:INFO:display_container: 4
  18044. 2022-02-04 16:03:54,503:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18045. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18046. gamma=0, gpu_id=0, importance_type=None,
  18047. interaction_constraints='', learning_rate=0.300000012,
  18048. max_delta_step=0, max_depth=16, max_leaves=255,
  18049. min_child_weight=1, missing=nan, monotone_constraints='()',
  18050. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18051. objective='binary:logistic', predictor='auto', random_state=8974,
  18052. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18053. tree_method='gpu_hist', use_label_encoder=True,
  18054. validate_parameters=1, ...)
  18055. 2022-02-04 16:03:54,503:INFO:create_model() succesfully completed......................................
  18056. 2022-02-04 16:16:08,485:INFO:Initializing plot_model()
  18057. 2022-02-04 16:16:08,485:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18058. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18059. gamma=0, gpu_id=0, importance_type=None,
  18060. interaction_constraints='', learning_rate=0.300000012,
  18061. max_delta_step=0, max_depth=16, max_leaves=255,
  18062. min_child_weight=1, missing=nan, monotone_constraints='()',
  18063. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18064. objective='binary:logistic', predictor='auto', random_state=8974,
  18065. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18066. tree_method='gpu_hist', use_label_encoder=True,
  18067. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  18068. 2022-02-04 16:16:08,485:INFO:Checking exceptions
  18069. 2022-02-04 16:16:08,487:INFO:Preparing display monitor
  18070. 2022-02-04 16:16:08,491:INFO:Preloading libraries
  18071. 2022-02-04 16:16:08,581:INFO:Copying training dataset
  18072. 2022-02-04 16:16:08,583:INFO:Copying test dataset
  18073. 2022-02-04 16:16:08,583:INFO:Plot type: feature
  18074. 2022-02-04 16:16:08,587:WARNING:No coef_ found. Trying feature_importances_
  18075. 2022-02-04 16:16:08,665:INFO:Visual Rendered Successfully
  18076. 2022-02-04 16:16:08,769:INFO:plot_model() succesfully completed......................................
  18077. 2022-02-04 16:16:14,942:INFO:Initializing plot_model()
  18078. 2022-02-04 16:16:14,942:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18079. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18080. gamma=0, gpu_id=0, importance_type=None,
  18081. interaction_constraints='', learning_rate=0.300000012,
  18082. max_delta_step=0, max_depth=16, max_leaves=255,
  18083. min_child_weight=1, missing=nan, monotone_constraints='()',
  18084. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18085. objective='binary:logistic', predictor='auto', random_state=8974,
  18086. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18087. tree_method='gpu_hist', use_label_encoder=True,
  18088. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  18089. 2022-02-04 16:16:14,942:INFO:Checking exceptions
  18090. 2022-02-04 16:16:14,944:INFO:Preparing display monitor
  18091. 2022-02-04 16:16:14,948:INFO:Preloading libraries
  18092. 2022-02-04 16:16:15,039:INFO:Copying training dataset
  18093. 2022-02-04 16:16:15,040:INFO:Copying test dataset
  18094. 2022-02-04 16:16:15,040:INFO:Plot type: gain
  18095. 2022-02-04 16:16:15,044:INFO:Generating predictions / predict_proba on X_test
  18096. 2022-02-04 16:16:15,267:INFO:Visual Rendered Successfully
  18097. 2022-02-04 16:16:15,350:INFO:plot_model() succesfully completed......................................
  18098. 2022-02-04 16:16:19,871:INFO:Initializing plot_model()
  18099. 2022-02-04 16:16:19,871:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18100. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18101. gamma=0, gpu_id=0, importance_type=None,
  18102. interaction_constraints='', learning_rate=0.300000012,
  18103. max_delta_step=0, max_depth=16, max_leaves=255,
  18104. min_child_weight=1, missing=nan, monotone_constraints='()',
  18105. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18106. objective='binary:logistic', predictor='auto', random_state=8974,
  18107. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18108. tree_method='gpu_hist', use_label_encoder=True,
  18109. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  18110. 2022-02-04 16:16:19,871:INFO:Checking exceptions
  18111. 2022-02-04 16:16:19,873:INFO:Preparing display monitor
  18112. 2022-02-04 16:16:19,877:INFO:Preloading libraries
  18113. 2022-02-04 16:16:19,973:INFO:Copying training dataset
  18114. 2022-02-04 16:16:19,974:INFO:Copying test dataset
  18115. 2022-02-04 16:16:19,975:INFO:Plot type: lift
  18116. 2022-02-04 16:16:19,979:INFO:Generating predictions / predict_proba on X_test
  18117. 2022-02-04 16:16:20,211:INFO:Visual Rendered Successfully
  18118. 2022-02-04 16:16:20,306:INFO:plot_model() succesfully completed......................................
  18119. 2022-02-04 16:16:24,343:INFO:Initializing plot_model()
  18120. 2022-02-04 16:16:24,343:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18121. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18122. gamma=0, gpu_id=0, importance_type=None,
  18123. interaction_constraints='', learning_rate=0.300000012,
  18124. max_delta_step=0, max_depth=16, max_leaves=255,
  18125. min_child_weight=1, missing=nan, monotone_constraints='()',
  18126. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18127. objective='binary:logistic', predictor='auto', random_state=8974,
  18128. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18129. tree_method='gpu_hist', use_label_encoder=True,
  18130. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
  18131. 2022-02-04 16:16:24,343:INFO:Checking exceptions
  18132. 2022-02-04 16:16:24,345:INFO:Preparing display monitor
  18133. 2022-02-04 16:16:24,349:INFO:Preloading libraries
  18134. 2022-02-04 16:16:24,442:INFO:Copying training dataset
  18135. 2022-02-04 16:16:24,442:INFO:Copying test dataset
  18136. 2022-02-04 16:16:24,443:INFO:Plot type: ks
  18137. 2022-02-04 16:16:24,447:INFO:Generating predictions / predict_proba on X_test
  18138. 2022-02-04 16:16:24,720:INFO:Visual Rendered Successfully
  18139. 2022-02-04 16:16:24,805:INFO:plot_model() succesfully completed......................................
  18140. 2022-02-04 16:16:26,680:INFO:Initializing plot_model()
  18141. 2022-02-04 16:16:26,680:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18142. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18143. gamma=0, gpu_id=0, importance_type=None,
  18144. interaction_constraints='', learning_rate=0.300000012,
  18145. max_delta_step=0, max_depth=16, max_leaves=255,
  18146. min_child_weight=1, missing=nan, monotone_constraints='()',
  18147. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18148. objective='binary:logistic', predictor='auto', random_state=8974,
  18149. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18150. tree_method='gpu_hist', use_label_encoder=True,
  18151. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  18152. 2022-02-04 16:16:26,680:INFO:Checking exceptions
  18153. 2022-02-04 16:16:39,192:INFO:Initializing plot_model()
  18154. 2022-02-04 16:16:39,193:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18155. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18156. gamma=0, gpu_id=0, importance_type=None,
  18157. interaction_constraints='', learning_rate=0.300000012,
  18158. max_delta_step=0, max_depth=16, max_leaves=255,
  18159. min_child_weight=1, missing=nan, monotone_constraints='()',
  18160. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18161. objective='binary:logistic', predictor='auto', random_state=8974,
  18162. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18163. tree_method='gpu_hist', use_label_encoder=True,
  18164. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=manifold, plot_kwargs={}, save=False, scale=1, system=True)
  18165. 2022-02-04 16:16:39,193:INFO:Checking exceptions
  18166. 2022-02-04 16:16:39,194:INFO:Preparing display monitor
  18167. 2022-02-04 16:16:39,198:INFO:Preloading libraries
  18168. 2022-02-04 16:16:39,288:INFO:Copying training dataset
  18169. 2022-02-04 16:16:39,289:INFO:Copying test dataset
  18170. 2022-02-04 16:16:39,289:INFO:Plot type: manifold
  18171. 2022-02-04 16:16:39,347:INFO:Fitting & Transforming Model
  18172. 2022-02-04 16:18:47,644:INFO:Visual Rendered Successfully
  18173. 2022-02-04 16:18:47,762:INFO:plot_model() succesfully completed......................................
  18174. 2022-02-04 16:19:32,640:INFO:Initializing tune_model()
  18175. 2022-02-04 16:19:32,641:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18176. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18177. gamma=0, gpu_id=0, importance_type=None,
  18178. interaction_constraints='', learning_rate=0.300000012,
  18179. max_delta_step=0, max_depth=16, max_leaves=255,
  18180. min_child_weight=1, missing=nan, monotone_constraints='()',
  18181. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18182. objective='binary:logistic', predictor='auto', random_state=8974,
  18183. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18184. tree_method='gpu_hist', use_label_encoder=True,
  18185. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12], 'learning_rate': [0.1]}, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  18186. 2022-02-04 16:19:32,641:INFO:Checking exceptions
  18187. 2022-02-04 16:19:32,641:INFO:Preparing display monitor
  18188. 2022-02-04 16:19:32,652:INFO:Copying training dataset
  18189. 2022-02-04 16:19:32,654:INFO:Checking base model
  18190. 2022-02-04 16:19:32,654:INFO:Base model : Extreme Gradient Boosting
  18191. 2022-02-04 16:19:32,659:INFO:Declaring metric variables
  18192. 2022-02-04 16:19:32,664:INFO:Defining Hyperparameters
  18193. 2022-02-04 16:19:32,784:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12], 'actual_estimator__learning_rate': [0.1]}
  18194. 2022-02-04 16:19:32,784:INFO:Tuning with n_jobs=1
  18195. 2022-02-04 16:19:32,784:INFO:Initializing RandomizedSearchCV
  18196. 2022-02-04 16:22:48,394:INFO:best_params: {'actual_estimator__max_depth': 16, 'actual_estimator__learning_rate': 0.1}
  18197. 2022-02-04 16:22:48,395:INFO:Hyperparameter search completed
  18198. 2022-02-04 16:22:48,395:INFO:SubProcess create_model() called ==================================
  18199. 2022-02-04 16:22:48,396:INFO:Initializing create_model()
  18200. 2022-02-04 16:22:48,396:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18201. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18202. gamma=0, gpu_id=0, importance_type=None,
  18203. interaction_constraints='', learning_rate=0.300000012,
  18204. max_delta_step=0, max_depth=16, max_leaves=255,
  18205. min_child_weight=1, missing=nan, monotone_constraints='()',
  18206. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18207. objective='binary:logistic', predictor='auto', random_state=8974,
  18208. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18209. tree_method='gpu_hist', use_label_encoder=True,
  18210. validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000014CADC07850>, kwargs={'max_depth': 16, 'learning_rate': 0.1})
  18211. 2022-02-04 16:22:48,396:INFO:Checking exceptions
  18212. 2022-02-04 16:22:48,396:INFO:Importing libraries
  18213. 2022-02-04 16:22:48,396:INFO:Copying training dataset
  18214. 2022-02-04 16:22:48,398:INFO:Defining folds
  18215. 2022-02-04 16:22:48,398:INFO:Declaring metric variables
  18216. 2022-02-04 16:22:48,405:INFO:Importing untrained model
  18217. 2022-02-04 16:22:48,405:INFO:Declaring custom model
  18218. 2022-02-04 16:22:48,413:INFO:Extreme Gradient Boosting Imported succesfully
  18219. 2022-02-04 16:22:48,426:INFO:Starting cross validation
  18220. 2022-02-04 16:22:48,427:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18221. 2022-02-04 16:23:37,960:INFO:Calculating mean and std
  18222. 2022-02-04 16:23:37,961:INFO:Creating metrics dataframe
  18223. 2022-02-04 16:23:37,971:INFO:Finalizing model
  18224. 2022-02-04 16:23:42,083:INFO:Uploading results into container
  18225. 2022-02-04 16:23:42,084:INFO:Uploading model into container now
  18226. 2022-02-04 16:23:42,084:INFO:create_model_container: 4
  18227. 2022-02-04 16:23:42,084:INFO:master_model_container: 4
  18228. 2022-02-04 16:23:42,084:INFO:display_container: 5
  18229. 2022-02-04 16:23:42,085:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18230. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18231. gamma=0, gpu_id=0, importance_type=None,
  18232. interaction_constraints='', learning_rate=0.1, max_delta_step=0,
  18233. max_depth=16, max_leaves=255, min_child_weight=1, missing=nan,
  18234. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18235. num_parallel_tree=1, objective='binary:logistic',
  18236. predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
  18237. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18238. use_label_encoder=True, validate_parameters=1, ...)
  18239. 2022-02-04 16:23:42,085:INFO:create_model() succesfully completed......................................
  18240. 2022-02-04 16:23:42,208:INFO:SubProcess create_model() end ==================================
  18241. 2022-02-04 16:23:42,216:INFO:create_model_container: 4
  18242. 2022-02-04 16:23:42,216:INFO:master_model_container: 4
  18243. 2022-02-04 16:23:42,216:INFO:display_container: 5
  18244. 2022-02-04 16:23:42,218:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18245. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18246. gamma=0, gpu_id=0, importance_type=None,
  18247. interaction_constraints='', learning_rate=0.1, max_delta_step=0,
  18248. max_depth=16, max_leaves=255, min_child_weight=1, missing=nan,
  18249. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18250. num_parallel_tree=1, objective='binary:logistic',
  18251. predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
  18252. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18253. use_label_encoder=True, validate_parameters=1, ...)
  18254. 2022-02-04 16:23:42,218:INFO:tune_model() succesfully completed......................................
  18255. 2022-02-04 16:25:40,710:INFO:Initializing tune_model()
  18256. 2022-02-04 16:25:40,710:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18257. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18258. gamma=0, gpu_id=0, importance_type=None,
  18259. interaction_constraints='', learning_rate=0.300000012,
  18260. max_delta_step=0, max_depth=16, max_leaves=255,
  18261. min_child_weight=1, missing=nan, monotone_constraints='()',
  18262. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18263. objective='binary:logistic', predictor='auto', random_state=8974,
  18264. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18265. tree_method='gpu_hist', use_label_encoder=True,
  18266. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12], 'max_leaves': [2048, 4096], 'learning_rate': [0.1, 0.5]}, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  18267. 2022-02-04 16:25:40,710:INFO:Checking exceptions
  18268. 2022-02-04 16:25:40,711:INFO:Preparing display monitor
  18269. 2022-02-04 16:25:40,721:INFO:Copying training dataset
  18270. 2022-02-04 16:25:40,722:INFO:Checking base model
  18271. 2022-02-04 16:25:40,722:INFO:Base model : Extreme Gradient Boosting
  18272. 2022-02-04 16:25:40,728:INFO:Declaring metric variables
  18273. 2022-02-04 16:25:40,733:INFO:Defining Hyperparameters
  18274. 2022-02-04 16:25:40,859:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12], 'actual_estimator__max_leaves': [2048, 4096], 'actual_estimator__learning_rate': [0.1, 0.5]}
  18275. 2022-02-04 16:25:40,859:INFO:Tuning with n_jobs=1
  18276. 2022-02-04 16:25:40,859:INFO:Initializing RandomizedSearchCV
  18277. 2022-02-04 16:32:19,442:INFO:best_params: {'actual_estimator__max_leaves': 2048, 'actual_estimator__max_depth': 13, 'actual_estimator__learning_rate': 0.5}
  18278. 2022-02-04 16:32:19,442:INFO:Hyperparameter search completed
  18279. 2022-02-04 16:32:19,443:INFO:SubProcess create_model() called ==================================
  18280. 2022-02-04 16:32:19,444:INFO:Initializing create_model()
  18281. 2022-02-04 16:32:19,444:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18282. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18283. gamma=0, gpu_id=0, importance_type=None,
  18284. interaction_constraints='', learning_rate=0.300000012,
  18285. max_delta_step=0, max_depth=16, max_leaves=255,
  18286. min_child_weight=1, missing=nan, monotone_constraints='()',
  18287. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18288. objective='binary:logistic', predictor='auto', random_state=8974,
  18289. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18290. tree_method='gpu_hist', use_label_encoder=True,
  18291. validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000014CACE227F0>, kwargs={'max_leaves': 2048, 'max_depth': 13, 'learning_rate': 0.5})
  18292. 2022-02-04 16:32:19,444:INFO:Checking exceptions
  18293. 2022-02-04 16:32:19,444:INFO:Importing libraries
  18294. 2022-02-04 16:32:19,444:INFO:Copying training dataset
  18295. 2022-02-04 16:32:19,445:INFO:Defining folds
  18296. 2022-02-04 16:32:19,445:INFO:Declaring metric variables
  18297. 2022-02-04 16:32:19,452:INFO:Importing untrained model
  18298. 2022-02-04 16:32:19,452:INFO:Declaring custom model
  18299. 2022-02-04 16:32:19,460:INFO:Extreme Gradient Boosting Imported succesfully
  18300. 2022-02-04 16:32:19,473:INFO:Starting cross validation
  18301. 2022-02-04 16:32:19,475:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18302. 2022-02-04 16:32:42,004:INFO:Calculating mean and std
  18303. 2022-02-04 16:32:42,004:INFO:Creating metrics dataframe
  18304. 2022-02-04 16:32:42,014:INFO:Finalizing model
  18305. 2022-02-04 16:32:44,608:INFO:Uploading results into container
  18306. 2022-02-04 16:32:44,609:INFO:Uploading model into container now
  18307. 2022-02-04 16:32:44,609:INFO:create_model_container: 5
  18308. 2022-02-04 16:32:44,609:INFO:master_model_container: 5
  18309. 2022-02-04 16:32:44,609:INFO:display_container: 6
  18310. 2022-02-04 16:32:44,610:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18311. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18312. gamma=0, gpu_id=0, importance_type=None,
  18313. interaction_constraints='', learning_rate=0.5, max_delta_step=0,
  18314. max_depth=13, max_leaves=2048, min_child_weight=1, missing=nan,
  18315. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18316. num_parallel_tree=1, objective='binary:logistic',
  18317. predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
  18318. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18319. use_label_encoder=True, validate_parameters=1, ...)
  18320. 2022-02-04 16:32:44,610:INFO:create_model() succesfully completed......................................
  18321. 2022-02-04 16:32:44,725:INFO:SubProcess create_model() end ==================================
  18322. 2022-02-04 16:32:44,733:INFO:create_model_container: 5
  18323. 2022-02-04 16:32:44,733:INFO:master_model_container: 5
  18324. 2022-02-04 16:32:44,734:INFO:display_container: 6
  18325. 2022-02-04 16:32:44,735:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18326. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18327. gamma=0, gpu_id=0, importance_type=None,
  18328. interaction_constraints='', learning_rate=0.5, max_delta_step=0,
  18329. max_depth=13, max_leaves=2048, min_child_weight=1, missing=nan,
  18330. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18331. num_parallel_tree=1, objective='binary:logistic',
  18332. predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
  18333. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18334. use_label_encoder=True, validate_parameters=1, ...)
  18335. 2022-02-04 16:32:44,735:INFO:tune_model() succesfully completed......................................
  18336. 2022-02-04 16:37:06,383:INFO:Initializing tune_model()
  18337. 2022-02-04 16:37:06,384:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18338. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18339. gamma=0, gpu_id=0, importance_type=None,
  18340. interaction_constraints='', learning_rate=0.300000012,
  18341. max_delta_step=0, max_depth=16, max_leaves=255,
  18342. min_child_weight=1, missing=nan, monotone_constraints='()',
  18343. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18344. objective='binary:logistic', predictor='auto', random_state=8974,
  18345. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18346. tree_method='gpu_hist', use_label_encoder=True,
  18347. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12], 'max_leaves': [4096, 2048], 'learning_rate': [0.1, 0.05]}, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  18348. 2022-02-04 16:37:06,384:INFO:Checking exceptions
  18349. 2022-02-04 16:37:06,384:INFO:Preparing display monitor
  18350. 2022-02-04 16:37:06,396:INFO:Copying training dataset
  18351. 2022-02-04 16:37:06,397:INFO:Checking base model
  18352. 2022-02-04 16:37:06,398:INFO:Base model : Extreme Gradient Boosting
  18353. 2022-02-04 16:37:06,403:INFO:Declaring metric variables
  18354. 2022-02-04 16:37:06,408:INFO:Defining Hyperparameters
  18355. 2022-02-04 16:37:06,533:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12], 'actual_estimator__max_leaves': [4096, 2048], 'actual_estimator__learning_rate': [0.1, 0.05]}
  18356. 2022-02-04 16:37:06,533:INFO:Tuning with n_jobs=1
  18357. 2022-02-04 16:37:06,533:INFO:Initializing RandomizedSearchCV
  18358. 2022-02-04 16:38:36,171:INFO:PyCaret Supervised Module
  18359. 2022-02-04 16:38:36,172:INFO:ML Usecase: classification
  18360. 2022-02-04 16:38:36,172:INFO:version 2.3.6
  18361. 2022-02-04 16:38:36,172:INFO:Initializing setup()
  18362. 2022-02-04 16:38:36,172:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  18363. 2022-02-04 16:38:36,172:INFO:Checking environment
  18364. 2022-02-04 16:38:36,172:INFO:python_version: 3.8.12
  18365. 2022-02-04 16:38:36,172:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  18366. 2022-02-04 16:38:36,172:INFO:machine: AMD64
  18367. 2022-02-04 16:38:36,172:INFO:platform: Windows-10-10.0.22000-SP0
  18368. 2022-02-04 16:38:36,172:INFO:Memory: svmem(total=68629372928, available=42952548352, percent=37.4, used=25676824576, free=42952548352)
  18369. 2022-02-04 16:38:36,172:INFO:Physical Core: 16
  18370. 2022-02-04 16:38:36,172:INFO:Logical Core: 32
  18371. 2022-02-04 16:38:36,172:INFO:Checking libraries
  18372. 2022-02-04 16:38:36,172:INFO:pd==1.3.5
  18373. 2022-02-04 16:38:36,172:INFO:numpy==1.21.5
  18374. 2022-02-04 16:38:36,173:INFO:sklearn==0.23.2
  18375. 2022-02-04 16:38:36,173:INFO:lightgbm==3.3.2
  18376. 2022-02-04 16:38:36,184:INFO:catboost==1.0.4
  18377. 2022-02-04 16:38:36,277:INFO:xgboost==1.5.2
  18378. 2022-02-04 16:38:36,602:INFO:mlflow==1.23.1
  18379. 2022-02-04 16:38:36,603:INFO:Checking Exceptions
  18380. 2022-02-04 16:38:36,603:INFO:Declaring global variables
  18381. 2022-02-04 16:38:36,603:INFO:USI: 926f
  18382. 2022-02-04 16:38:36,603:INFO:pycaret_globals: {'create_model_container', 'X_train', 'data_before_preprocess', 'X_test', 'iterative_imputation_iters_param', 'transform_target_param', 'exp_name_log', 'fold_groups_param', '_all_models_internal', 'display_container', 'imputation_regressor', 'fold_param', 'seed', 'fix_imbalance_param', 'log_plots_param', 'prep_pipe', 'y_test', 'USI', 'fold_groups_param_full', 'target_param', 'logging_param', 'y_train', 'imputation_classifier', 'fold_generator', 'fix_imbalance_method_param', '_internal_pipeline', 'html_param', 'master_model_container', '_ml_usecase', 'transform_target_method_param', '_available_plots', 'pycaret_globals', 'y', 'X', '_all_models', 'gpu_param', 'experiment__', '_gpu_n_jobs_param', 'stratify_param', '_all_metrics', 'fold_shuffle_param', 'n_jobs_param'}
  18383. 2022-02-04 16:38:36,603:INFO:Preparing display monitor
  18384. 2022-02-04 16:38:36,603:INFO:Preparing display monitor
  18385. 2022-02-04 16:38:36,612:INFO:Importing libraries
  18386. 2022-02-04 16:38:36,612:INFO:Copying data for preprocessing
  18387. 2022-02-04 16:38:36,618:INFO:Declaring preprocessing parameters
  18388. 2022-02-04 16:38:36,619:WARNING:cuML not found
  18389. 2022-02-04 16:38:36,619:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  18390. 2022-02-04 16:38:36,622:INFO:Creating preprocessing pipeline
  18391. 2022-02-04 16:38:36,675:INFO:Preprocessing pipeline created successfully
  18392. 2022-02-04 16:38:36,675:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  18393. 2022-02-04 16:38:36,675:INFO:Creating global containers
  18394. 2022-02-04 16:38:36,677:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  18395. 2022-02-04 16:38:38,189:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18396. 2022-02-04 16:38:38,224:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18397. 2022-02-04 16:38:38,226:WARNING:Couldn't import cuml.MBSGDClassifier
  18398. 2022-02-04 16:38:38,227:WARNING:Couldn't import cuml.svm.SVC
  18399. 2022-02-04 16:38:38,247:WARNING:Couldn't import cuml.linear_model
  18400. 2022-02-04 16:38:38,251:WARNING:Couldn't import cuml.ensemble
  18401. 2022-02-04 16:38:38,476:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18402. 2022-02-04 16:38:38,536:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18403. 2022-02-04 16:38:38,537:WARNING:Couldn't import cuml.MBSGDClassifier
  18404. 2022-02-04 16:38:38,538:WARNING:Couldn't import cuml.svm.SVC
  18405. 2022-02-04 16:38:38,569:WARNING:Couldn't import cuml.linear_model
  18406. 2022-02-04 16:38:38,575:WARNING:Couldn't import cuml.ensemble
  18407. 2022-02-04 16:38:38,695:INFO:Creating grid variables
  18408. 2022-02-04 16:38:38,708:INFO:create_model_container: 0
  18409. 2022-02-04 16:38:38,708:INFO:master_model_container: 0
  18410. 2022-02-04 16:38:38,709:INFO:display_container: 1
  18411. 2022-02-04 16:38:38,715:INFO:Pipeline(memory=None,
  18412. steps=[('dtypes',
  18413. DataTypes_Auto_infer(categorical_features=[],
  18414. display_types=True, features_todrop=[],
  18415. id_columns=[],
  18416. ml_usecase='classification',
  18417. numerical_features=[], target='label',
  18418. time_features=[])),
  18419. ('imputer',
  18420. Simple_Imputer(categorical_strategy='not_available',
  18421. fill_value_categorical=None,
  18422. fill_value_numerical=None,
  18423. numeric_strate...
  18424. target='label')),
  18425. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  18426. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  18427. ('dummy', Dummify(target='label')),
  18428. ('fix_perfect', Remove_100(target='label')),
  18429. ('clean_names', Clean_Colum_Names()),
  18430. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  18431. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  18432. verbose=False)
  18433. 2022-02-04 16:38:38,715:INFO:setup() succesfully completed......................................
  18434. 2022-02-04 16:38:55,897:INFO:Initializing create_model()
  18435. 2022-02-04 16:38:55,897:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 2048})
  18436. 2022-02-04 16:38:55,897:INFO:Checking exceptions
  18437. 2022-02-04 16:38:55,897:INFO:Preparing display monitor
  18438. 2022-02-04 16:38:55,910:INFO:Importing libraries
  18439. 2022-02-04 16:38:55,910:INFO:Copying training dataset
  18440. 2022-02-04 16:38:55,911:INFO:Defining folds
  18441. 2022-02-04 16:38:55,911:INFO:Declaring metric variables
  18442. 2022-02-04 16:38:55,916:INFO:Importing untrained model
  18443. 2022-02-04 16:38:55,922:INFO:Extreme Gradient Boosting Imported succesfully
  18444. 2022-02-04 16:38:55,933:INFO:Starting cross validation
  18445. 2022-02-04 16:38:55,934:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18446. 2022-02-04 16:39:31,668:INFO:Calculating mean and std
  18447. 2022-02-04 16:39:31,669:INFO:Creating metrics dataframe
  18448. 2022-02-04 16:39:31,679:INFO:Finalizing model
  18449. 2022-02-04 16:39:35,427:INFO:Uploading results into container
  18450. 2022-02-04 16:39:35,427:INFO:Uploading model into container now
  18451. 2022-02-04 16:39:35,434:INFO:create_model_container: 1
  18452. 2022-02-04 16:39:35,435:INFO:master_model_container: 1
  18453. 2022-02-04 16:39:35,435:INFO:display_container: 2
  18454. 2022-02-04 16:39:35,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18455. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18456. gamma=0, gpu_id=0, importance_type=None,
  18457. interaction_constraints='', learning_rate=0.300000012,
  18458. max_delta_step=0, max_depth=16, max_leaves=2048,
  18459. min_child_weight=1, missing=nan, monotone_constraints='()',
  18460. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18461. objective='binary:logistic', predictor='auto', random_state=524,
  18462. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18463. tree_method='gpu_hist', use_label_encoder=True,
  18464. validate_parameters=1, ...)
  18465. 2022-02-04 16:39:35,436:INFO:create_model() succesfully completed......................................
  18466. 2022-02-04 16:42:06,253:INFO:Initializing tune_model()
  18467. 2022-02-04 16:42:06,253:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18468. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18469. gamma=0, gpu_id=0, importance_type=None,
  18470. interaction_constraints='', learning_rate=0.300000012,
  18471. max_delta_step=0, max_depth=16, max_leaves=2048,
  18472. min_child_weight=1, missing=nan, monotone_constraints='()',
  18473. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18474. objective='binary:logistic', predictor='auto', random_state=524,
  18475. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18476. tree_method='gpu_hist', use_label_encoder=True,
  18477. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12], 'max_leaves': [4096, 2048], 'learning_rate': [0.1, 0.05]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  18478. 2022-02-04 16:42:06,253:INFO:Checking exceptions
  18479. 2022-02-04 16:42:06,254:INFO:Preparing display monitor
  18480. 2022-02-04 16:42:06,264:INFO:Copying training dataset
  18481. 2022-02-04 16:42:06,265:INFO:Checking base model
  18482. 2022-02-04 16:42:06,266:INFO:Base model : Extreme Gradient Boosting
  18483. 2022-02-04 16:42:06,271:INFO:Declaring metric variables
  18484. 2022-02-04 16:42:06,276:INFO:Defining Hyperparameters
  18485. 2022-02-04 16:42:06,378:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12], 'actual_estimator__max_leaves': [4096, 2048], 'actual_estimator__learning_rate': [0.1, 0.05]}
  18486. 2022-02-04 16:42:06,378:INFO:Tuning with n_jobs=1
  18487. 2022-02-04 16:42:06,378:INFO:Initializing RandomizedSearchCV
  18488. 2022-02-04 16:49:56,501:INFO:best_params: {'actual_estimator__max_leaves': 2048, 'actual_estimator__max_depth': 16, 'actual_estimator__learning_rate': 0.1}
  18489. 2022-02-04 16:49:56,502:INFO:Hyperparameter search completed
  18490. 2022-02-04 16:49:56,502:INFO:SubProcess create_model() called ==================================
  18491. 2022-02-04 16:49:56,503:INFO:Initializing create_model()
  18492. 2022-02-04 16:49:56,503:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18493. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18494. gamma=0, gpu_id=0, importance_type=None,
  18495. interaction_constraints='', learning_rate=0.300000012,
  18496. max_delta_step=0, max_depth=16, max_leaves=2048,
  18497. min_child_weight=1, missing=nan, monotone_constraints='()',
  18498. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18499. objective='binary:logistic', predictor='auto', random_state=524,
  18500. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18501. tree_method='gpu_hist', use_label_encoder=True,
  18502. validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000027B25238160>, kwargs={'max_leaves': 2048, 'max_depth': 16, 'learning_rate': 0.1})
  18503. 2022-02-04 16:49:56,503:INFO:Checking exceptions
  18504. 2022-02-04 16:49:56,503:INFO:Importing libraries
  18505. 2022-02-04 16:49:56,503:INFO:Copying training dataset
  18506. 2022-02-04 16:49:56,504:INFO:Defining folds
  18507. 2022-02-04 16:49:56,504:INFO:Declaring metric variables
  18508. 2022-02-04 16:49:56,512:INFO:Importing untrained model
  18509. 2022-02-04 16:49:56,512:INFO:Declaring custom model
  18510. 2022-02-04 16:49:56,519:INFO:Extreme Gradient Boosting Imported succesfully
  18511. 2022-02-04 16:49:56,532:INFO:Starting cross validation
  18512. 2022-02-04 16:49:56,534:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18513. 2022-02-04 16:50:50,765:INFO:Calculating mean and std
  18514. 2022-02-04 16:50:50,766:INFO:Creating metrics dataframe
  18515. 2022-02-04 16:50:50,775:INFO:Finalizing model
  18516. 2022-02-04 16:50:56,474:INFO:Uploading results into container
  18517. 2022-02-04 16:50:56,474:INFO:Uploading model into container now
  18518. 2022-02-04 16:50:56,474:INFO:create_model_container: 2
  18519. 2022-02-04 16:50:56,474:INFO:master_model_container: 2
  18520. 2022-02-04 16:50:56,474:INFO:display_container: 3
  18521. 2022-02-04 16:50:56,475:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18522. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18523. gamma=0, gpu_id=0, importance_type=None,
  18524. interaction_constraints='', learning_rate=0.1, max_delta_step=0,
  18525. max_depth=16, max_leaves=2048, min_child_weight=1, missing=nan,
  18526. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18527. num_parallel_tree=1, objective='binary:logistic',
  18528. predictor='auto', random_state=524, reg_alpha=0, reg_lambda=1,
  18529. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18530. use_label_encoder=True, validate_parameters=1, ...)
  18531. 2022-02-04 16:50:56,475:INFO:create_model() succesfully completed......................................
  18532. 2022-02-04 16:50:56,569:INFO:SubProcess create_model() end ==================================
  18533. 2022-02-04 16:50:56,577:INFO:create_model_container: 2
  18534. 2022-02-04 16:50:56,577:INFO:master_model_container: 2
  18535. 2022-02-04 16:50:56,577:INFO:display_container: 3
  18536. 2022-02-04 16:50:56,578:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18537. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18538. gamma=0, gpu_id=0, importance_type=None,
  18539. interaction_constraints='', learning_rate=0.1, max_delta_step=0,
  18540. max_depth=16, max_leaves=2048, min_child_weight=1, missing=nan,
  18541. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18542. num_parallel_tree=1, objective='binary:logistic',
  18543. predictor='auto', random_state=524, reg_alpha=0, reg_lambda=1,
  18544. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18545. use_label_encoder=True, validate_parameters=1, ...)
  18546. 2022-02-04 16:50:56,579:INFO:tune_model() succesfully completed......................................
  18547. 2022-02-04 16:55:20,965:INFO:Initializing tune_model()
  18548. 2022-02-04 16:55:20,965:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18549. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18550. gamma=0, gpu_id=0, importance_type=None,
  18551. interaction_constraints='', learning_rate=0.300000012,
  18552. max_delta_step=0, max_depth=16, max_leaves=2048,
  18553. min_child_weight=1, missing=nan, monotone_constraints='()',
  18554. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18555. objective='binary:logistic', predictor='auto', random_state=524,
  18556. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18557. tree_method='gpu_hist', use_label_encoder=True,
  18558. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14], 'colsample_bytree': [0.6, 0.8, 1.0]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={'learning_rate': 0.1})
  18559. 2022-02-04 16:55:20,965:INFO:Checking exceptions
  18560. 2022-02-04 16:55:20,966:INFO:Preparing display monitor
  18561. 2022-02-04 16:55:20,977:INFO:Copying training dataset
  18562. 2022-02-04 16:55:20,978:INFO:Checking base model
  18563. 2022-02-04 16:55:20,978:INFO:Base model : Extreme Gradient Boosting
  18564. 2022-02-04 16:55:20,985:INFO:Declaring metric variables
  18565. 2022-02-04 16:55:20,989:INFO:Defining Hyperparameters
  18566. 2022-02-04 16:55:21,093:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14], 'actual_estimator__colsample_bytree': [0.6, 0.8, 1.0]}
  18567. 2022-02-04 16:55:21,093:INFO:Tuning with n_jobs=1
  18568. 2022-02-04 16:55:21,093:INFO:Initializing RandomizedSearchCV
  18569. 2022-02-04 16:56:20,429:INFO:Initializing tune_model()
  18570. 2022-02-04 16:56:20,429:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18571. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18572. gamma=0, gpu_id=0, importance_type=None,
  18573. interaction_constraints='', learning_rate=0.300000012,
  18574. max_delta_step=0, max_depth=16, max_leaves=2048,
  18575. min_child_weight=1, missing=nan, monotone_constraints='()',
  18576. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18577. objective='binary:logistic', predictor='auto', random_state=524,
  18578. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18579. tree_method='gpu_hist', use_label_encoder=True,
  18580. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14], 'colsample_bytree': [0.6, 0.8, 1.0], 'eta': [0.1, 0.5]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  18581. 2022-02-04 16:56:20,429:INFO:Checking exceptions
  18582. 2022-02-04 16:56:20,430:INFO:Preparing display monitor
  18583. 2022-02-04 16:56:20,440:INFO:Copying training dataset
  18584. 2022-02-04 16:56:20,442:INFO:Checking base model
  18585. 2022-02-04 16:56:20,442:INFO:Base model : Extreme Gradient Boosting
  18586. 2022-02-04 16:56:20,448:INFO:Declaring metric variables
  18587. 2022-02-04 16:56:20,453:INFO:Defining Hyperparameters
  18588. 2022-02-04 16:56:20,586:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14], 'actual_estimator__colsample_bytree': [0.6, 0.8, 1.0], 'actual_estimator__eta': [0.1, 0.5]}
  18589. 2022-02-04 16:56:20,586:INFO:Tuning with n_jobs=1
  18590. 2022-02-04 16:56:20,586:INFO:Initializing RandomizedSearchCV
  18591. 2022-02-04 17:00:31,953:INFO:PyCaret Supervised Module
  18592. 2022-02-04 17:00:31,954:INFO:ML Usecase: classification
  18593. 2022-02-04 17:00:31,954:INFO:version 2.3.6
  18594. 2022-02-04 17:00:31,954:INFO:Initializing setup()
  18595. 2022-02-04 17:00:31,954:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  18596. 2022-02-04 17:00:31,954:INFO:Checking environment
  18597. 2022-02-04 17:00:31,954:INFO:python_version: 3.8.12
  18598. 2022-02-04 17:00:31,954:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  18599. 2022-02-04 17:00:31,954:INFO:machine: AMD64
  18600. 2022-02-04 17:00:31,954:INFO:platform: Windows-10-10.0.22000-SP0
  18601. 2022-02-04 17:00:31,954:INFO:Memory: svmem(total=68629372928, available=42844643328, percent=37.6, used=25784729600, free=42844643328)
  18602. 2022-02-04 17:00:31,954:INFO:Physical Core: 16
  18603. 2022-02-04 17:00:31,954:INFO:Logical Core: 32
  18604. 2022-02-04 17:00:31,954:INFO:Checking libraries
  18605. 2022-02-04 17:00:31,954:INFO:pd==1.3.5
  18606. 2022-02-04 17:00:31,954:INFO:numpy==1.21.5
  18607. 2022-02-04 17:00:31,954:INFO:sklearn==0.23.2
  18608. 2022-02-04 17:00:31,954:INFO:lightgbm==3.3.2
  18609. 2022-02-04 17:00:31,966:INFO:catboost==1.0.4
  18610. 2022-02-04 17:00:32,058:INFO:xgboost==1.5.2
  18611. 2022-02-04 17:00:32,334:INFO:mlflow==1.23.1
  18612. 2022-02-04 17:00:32,334:INFO:Checking Exceptions
  18613. 2022-02-04 17:00:32,334:INFO:Declaring global variables
  18614. 2022-02-04 17:00:32,334:INFO:USI: ec72
  18615. 2022-02-04 17:00:32,334:INFO:pycaret_globals: {'n_jobs_param', 'data_before_preprocess', 'master_model_container', 'X_train', 'X', 'fold_param', 'fix_imbalance_param', 'X_test', '_all_metrics', 'log_plots_param', 'logging_param', 'imputation_regressor', 'imputation_classifier', 'prep_pipe', 'USI', 'transform_target_param', '_ml_usecase', 'y', 'pycaret_globals', 'html_param', 'fold_shuffle_param', 'create_model_container', '_all_models', 'exp_name_log', 'target_param', 'fold_generator', '_gpu_n_jobs_param', 'experiment__', 'iterative_imputation_iters_param', 'fix_imbalance_method_param', 'stratify_param', 'display_container', 'seed', 'fold_groups_param_full', 'transform_target_method_param', 'y_test', '_internal_pipeline', '_available_plots', 'gpu_param', 'y_train', 'fold_groups_param', '_all_models_internal'}
  18616. 2022-02-04 17:00:32,334:INFO:Preparing display monitor
  18617. 2022-02-04 17:00:32,334:INFO:Preparing display monitor
  18618. 2022-02-04 17:00:32,343:INFO:Importing libraries
  18619. 2022-02-04 17:00:32,344:INFO:Copying data for preprocessing
  18620. 2022-02-04 17:00:32,349:INFO:Declaring preprocessing parameters
  18621. 2022-02-04 17:00:32,350:WARNING:cuML not found
  18622. 2022-02-04 17:00:32,350:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  18623. 2022-02-04 17:00:32,353:INFO:Creating preprocessing pipeline
  18624. 2022-02-04 17:00:32,407:INFO:Preprocessing pipeline created successfully
  18625. 2022-02-04 17:00:32,407:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  18626. 2022-02-04 17:00:32,408:INFO:Creating global containers
  18627. 2022-02-04 17:00:32,409:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  18628. 2022-02-04 17:00:34,319:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18629. 2022-02-04 17:00:34,354:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18630. 2022-02-04 17:00:34,356:WARNING:Couldn't import cuml.MBSGDClassifier
  18631. 2022-02-04 17:00:34,357:WARNING:Couldn't import cuml.svm.SVC
  18632. 2022-02-04 17:00:34,377:WARNING:Couldn't import cuml.linear_model
  18633. 2022-02-04 17:00:34,381:WARNING:Couldn't import cuml.ensemble
  18634. 2022-02-04 17:00:34,606:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18635. 2022-02-04 17:00:34,668:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18636. 2022-02-04 17:00:34,669:WARNING:Couldn't import cuml.MBSGDClassifier
  18637. 2022-02-04 17:00:34,671:WARNING:Couldn't import cuml.svm.SVC
  18638. 2022-02-04 17:00:34,701:WARNING:Couldn't import cuml.linear_model
  18639. 2022-02-04 17:00:34,707:WARNING:Couldn't import cuml.ensemble
  18640. 2022-02-04 17:00:34,825:INFO:Creating grid variables
  18641. 2022-02-04 17:00:34,838:INFO:create_model_container: 0
  18642. 2022-02-04 17:00:34,838:INFO:master_model_container: 0
  18643. 2022-02-04 17:00:34,839:INFO:display_container: 1
  18644. 2022-02-04 17:00:34,845:INFO:Pipeline(memory=None,
  18645. steps=[('dtypes',
  18646. DataTypes_Auto_infer(categorical_features=[],
  18647. display_types=True, features_todrop=[],
  18648. id_columns=[],
  18649. ml_usecase='classification',
  18650. numerical_features=[], target='label',
  18651. time_features=[])),
  18652. ('imputer',
  18653. Simple_Imputer(categorical_strategy='not_available',
  18654. fill_value_categorical=None,
  18655. fill_value_numerical=None,
  18656. numeric_strate...
  18657. target='label')),
  18658. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  18659. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  18660. ('dummy', Dummify(target='label')),
  18661. ('fix_perfect', Remove_100(target='label')),
  18662. ('clean_names', Clean_Colum_Names()),
  18663. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  18664. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  18665. verbose=False)
  18666. 2022-02-04 17:00:34,845:INFO:setup() succesfully completed......................................
  18667. 2022-02-04 17:00:47,482:INFO:Initializing create_model()
  18668. 2022-02-04 17:00:47,482:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 4, 'max_leaves': 255})
  18669. 2022-02-04 17:00:47,482:INFO:Checking exceptions
  18670. 2022-02-04 17:00:47,482:INFO:Preparing display monitor
  18671. 2022-02-04 17:00:47,495:INFO:Importing libraries
  18672. 2022-02-04 17:00:47,495:INFO:Copying training dataset
  18673. 2022-02-04 17:00:47,496:INFO:Defining folds
  18674. 2022-02-04 17:00:47,496:INFO:Declaring metric variables
  18675. 2022-02-04 17:00:47,501:INFO:Importing untrained model
  18676. 2022-02-04 17:00:47,506:INFO:Extreme Gradient Boosting Imported succesfully
  18677. 2022-02-04 17:00:47,515:INFO:Starting cross validation
  18678. 2022-02-04 17:00:47,517:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18679. 2022-02-04 17:00:50,378:INFO:Calculating mean and std
  18680. 2022-02-04 17:00:50,379:INFO:Creating metrics dataframe
  18681. 2022-02-04 17:00:50,389:INFO:Finalizing model
  18682. 2022-02-04 17:00:50,703:INFO:Uploading results into container
  18683. 2022-02-04 17:00:50,703:INFO:Uploading model into container now
  18684. 2022-02-04 17:00:50,712:INFO:create_model_container: 1
  18685. 2022-02-04 17:00:50,712:INFO:master_model_container: 1
  18686. 2022-02-04 17:00:50,712:INFO:display_container: 2
  18687. 2022-02-04 17:00:50,713:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18688. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18689. gamma=0, gpu_id=0, importance_type=None,
  18690. interaction_constraints='', learning_rate=0.300000012,
  18691. max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
  18692. missing=nan, monotone_constraints='()', n_estimators=100,
  18693. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18694. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18695. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18696. use_label_encoder=True, validate_parameters=1, ...)
  18697. 2022-02-04 17:00:50,713:INFO:create_model() succesfully completed......................................
  18698. 2022-02-04 17:01:13,080:INFO:Initializing tune_model()
  18699. 2022-02-04 17:01:13,081:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18700. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18701. gamma=0, gpu_id=0, importance_type=None,
  18702. interaction_constraints='', learning_rate=0.300000012,
  18703. max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
  18704. missing=nan, monotone_constraints='()', n_estimators=100,
  18705. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18706. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18707. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18708. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [32, 16, 8], 'colsample_bytree': [0.6, 0.8, 1.0], 'eta': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  18709. 2022-02-04 17:01:13,081:INFO:Checking exceptions
  18710. 2022-02-04 17:01:13,081:INFO:Preparing display monitor
  18711. 2022-02-04 17:01:13,092:INFO:Copying training dataset
  18712. 2022-02-04 17:01:13,093:INFO:Checking base model
  18713. 2022-02-04 17:01:13,093:INFO:Base model : Extreme Gradient Boosting
  18714. 2022-02-04 17:01:13,098:INFO:Declaring metric variables
  18715. 2022-02-04 17:01:13,104:INFO:Defining Hyperparameters
  18716. 2022-02-04 17:01:13,208:INFO:custom_grid: {'actual_estimator__max_depth': [32, 16, 8], 'actual_estimator__colsample_bytree': [0.6, 0.8, 1.0], 'actual_estimator__eta': [0.05, 0.005]}
  18717. 2022-02-04 17:01:13,208:INFO:Tuning with n_jobs=1
  18718. 2022-02-04 17:01:13,208:INFO:Initializing RandomizedSearchCV
  18719. 2022-02-04 17:06:14,580:INFO:best_params: {'actual_estimator__max_depth': 32, 'actual_estimator__eta': 0.05, 'actual_estimator__colsample_bytree': 0.6}
  18720. 2022-02-04 17:06:14,581:INFO:Hyperparameter search completed
  18721. 2022-02-04 17:06:14,581:INFO:SubProcess create_model() called ==================================
  18722. 2022-02-04 17:06:14,582:INFO:Initializing create_model()
  18723. 2022-02-04 17:06:14,582:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18724. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18725. gamma=0, gpu_id=0, importance_type=None,
  18726. interaction_constraints='', learning_rate=0.300000012,
  18727. max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
  18728. missing=nan, monotone_constraints='()', n_estimators=100,
  18729. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18730. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18731. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18732. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x00000265C7F9CBB0>, kwargs={'max_depth': 32, 'eta': 0.05, 'colsample_bytree': 0.6})
  18733. 2022-02-04 17:06:14,582:INFO:Checking exceptions
  18734. 2022-02-04 17:06:14,582:INFO:Importing libraries
  18735. 2022-02-04 17:06:14,582:INFO:Copying training dataset
  18736. 2022-02-04 17:06:14,583:INFO:Defining folds
  18737. 2022-02-04 17:06:14,584:INFO:Declaring metric variables
  18738. 2022-02-04 17:06:14,590:INFO:Importing untrained model
  18739. 2022-02-04 17:06:14,591:INFO:Declaring custom model
  18740. 2022-02-04 17:06:14,599:INFO:Extreme Gradient Boosting Imported succesfully
  18741. 2022-02-04 17:06:14,611:INFO:Starting cross validation
  18742. 2022-02-04 17:06:14,613:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18743. 2022-02-04 17:06:55,887:INFO:Calculating mean and std
  18744. 2022-02-04 17:06:55,888:INFO:Creating metrics dataframe
  18745. 2022-02-04 17:06:55,898:INFO:Finalizing model
  18746. 2022-02-04 17:06:59,997:INFO:Uploading results into container
  18747. 2022-02-04 17:06:59,998:INFO:Uploading model into container now
  18748. 2022-02-04 17:06:59,998:INFO:create_model_container: 2
  18749. 2022-02-04 17:06:59,998:INFO:master_model_container: 2
  18750. 2022-02-04 17:06:59,998:INFO:display_container: 3
  18751. 2022-02-04 17:06:59,999:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18752. colsample_bynode=1, colsample_bytree=0.6,
  18753. enable_categorical=False, eta=0.05, gamma=0, gpu_id=0,
  18754. importance_type=None, interaction_constraints='',
  18755. learning_rate=0.300000012, max_delta_step=0, max_depth=32,
  18756. max_leaves=255, min_child_weight=1, missing=nan,
  18757. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18758. num_parallel_tree=1, objective='binary:logistic',
  18759. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18760. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18761. use_label_encoder=True, ...)
  18762. 2022-02-04 17:06:59,999:INFO:create_model() succesfully completed......................................
  18763. 2022-02-04 17:07:00,097:INFO:SubProcess create_model() end ==================================
  18764. 2022-02-04 17:07:00,105:INFO:create_model_container: 2
  18765. 2022-02-04 17:07:00,105:INFO:master_model_container: 2
  18766. 2022-02-04 17:07:00,105:INFO:display_container: 3
  18767. 2022-02-04 17:07:00,106:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18768. colsample_bynode=1, colsample_bytree=0.6,
  18769. enable_categorical=False, eta=0.05, gamma=0, gpu_id=0,
  18770. importance_type=None, interaction_constraints='',
  18771. learning_rate=0.300000012, max_delta_step=0, max_depth=32,
  18772. max_leaves=255, min_child_weight=1, missing=nan,
  18773. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18774. num_parallel_tree=1, objective='binary:logistic',
  18775. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18776. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18777. use_label_encoder=True, ...)
  18778. 2022-02-04 17:07:00,106:INFO:tune_model() succesfully completed......................................
  18779. 2022-02-04 17:10:08,398:INFO:Initializing tune_model()
  18780. 2022-02-04 17:10:08,398:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18781. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18782. gamma=0, gpu_id=0, importance_type=None,
  18783. interaction_constraints='', learning_rate=0.300000012,
  18784. max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
  18785. missing=nan, monotone_constraints='()', n_estimators=100,
  18786. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18787. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18788. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18789. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'eta': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  18790. 2022-02-04 17:10:08,398:INFO:Checking exceptions
  18791. 2022-02-04 17:10:08,399:INFO:Preparing display monitor
  18792. 2022-02-04 17:10:08,409:INFO:Copying training dataset
  18793. 2022-02-04 17:10:08,410:INFO:Checking base model
  18794. 2022-02-04 17:10:08,411:INFO:Base model : Extreme Gradient Boosting
  18795. 2022-02-04 17:10:08,417:INFO:Declaring metric variables
  18796. 2022-02-04 17:10:08,421:INFO:Defining Hyperparameters
  18797. 2022-02-04 17:10:08,520:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__eta': [0.05, 0.005]}
  18798. 2022-02-04 17:10:08,520:INFO:Tuning with n_jobs=1
  18799. 2022-02-04 17:10:08,520:INFO:Initializing RandomizedSearchCV
  18800. 2022-02-04 17:11:10,654:INFO:PyCaret Supervised Module
  18801. 2022-02-04 17:11:10,654:INFO:ML Usecase: classification
  18802. 2022-02-04 17:11:10,655:INFO:version 2.3.6
  18803. 2022-02-04 17:11:10,655:INFO:Initializing setup()
  18804. 2022-02-04 17:11:10,655:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  18805. 2022-02-04 17:11:10,655:INFO:Checking environment
  18806. 2022-02-04 17:11:10,655:INFO:python_version: 3.8.12
  18807. 2022-02-04 17:11:10,655:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  18808. 2022-02-04 17:11:10,655:INFO:machine: AMD64
  18809. 2022-02-04 17:11:10,655:INFO:platform: Windows-10-10.0.22000-SP0
  18810. 2022-02-04 17:11:10,655:INFO:Memory: svmem(total=68629372928, available=42797850624, percent=37.6, used=25831522304, free=42797850624)
  18811. 2022-02-04 17:11:10,655:INFO:Physical Core: 16
  18812. 2022-02-04 17:11:10,655:INFO:Logical Core: 32
  18813. 2022-02-04 17:11:10,655:INFO:Checking libraries
  18814. 2022-02-04 17:11:10,655:INFO:pd==1.3.5
  18815. 2022-02-04 17:11:10,655:INFO:numpy==1.21.5
  18816. 2022-02-04 17:11:10,655:INFO:sklearn==0.23.2
  18817. 2022-02-04 17:11:10,655:INFO:lightgbm==3.3.2
  18818. 2022-02-04 17:11:10,666:INFO:catboost==1.0.4
  18819. 2022-02-04 17:11:10,761:INFO:xgboost==1.5.2
  18820. 2022-02-04 17:11:11,035:INFO:mlflow==1.23.1
  18821. 2022-02-04 17:11:11,035:INFO:Checking Exceptions
  18822. 2022-02-04 17:11:11,035:INFO:Declaring global variables
  18823. 2022-02-04 17:11:11,035:INFO:USI: 79bd
  18824. 2022-02-04 17:11:11,035:INFO:pycaret_globals: {'experiment__', 'logging_param', 'imputation_regressor', 'html_param', 'prep_pipe', 'log_plots_param', '_all_metrics', 'iterative_imputation_iters_param', 'data_before_preprocess', 'fix_imbalance_method_param', 'fold_shuffle_param', 'seed', 'X', 'imputation_classifier', 'USI', 'y_train', 'n_jobs_param', '_gpu_n_jobs_param', '_internal_pipeline', '_available_plots', 'y_test', 'stratify_param', 'fold_generator', 'gpu_param', 'transform_target_param', 'fold_groups_param', 'y', 'master_model_container', 'X_train', 'pycaret_globals', 'fold_groups_param_full', 'create_model_container', 'exp_name_log', '_ml_usecase', 'target_param', 'X_test', 'fix_imbalance_param', 'transform_target_method_param', '_all_models', 'fold_param', '_all_models_internal', 'display_container'}
  18825. 2022-02-04 17:11:11,035:INFO:Preparing display monitor
  18826. 2022-02-04 17:11:11,035:INFO:Preparing display monitor
  18827. 2022-02-04 17:11:11,045:INFO:Importing libraries
  18828. 2022-02-04 17:11:11,045:INFO:Copying data for preprocessing
  18829. 2022-02-04 17:11:11,050:INFO:Declaring preprocessing parameters
  18830. 2022-02-04 17:11:11,051:WARNING:cuML not found
  18831. 2022-02-04 17:11:11,051:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  18832. 2022-02-04 17:11:11,054:INFO:Creating preprocessing pipeline
  18833. 2022-02-04 17:11:11,106:INFO:Preprocessing pipeline created successfully
  18834. 2022-02-04 17:11:11,106:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  18835. 2022-02-04 17:11:11,106:INFO:Creating global containers
  18836. 2022-02-04 17:11:11,108:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  18837. 2022-02-04 17:11:12,168:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18838. 2022-02-04 17:11:12,202:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18839. 2022-02-04 17:11:12,204:WARNING:Couldn't import cuml.MBSGDClassifier
  18840. 2022-02-04 17:11:12,205:WARNING:Couldn't import cuml.svm.SVC
  18841. 2022-02-04 17:11:12,225:WARNING:Couldn't import cuml.linear_model
  18842. 2022-02-04 17:11:12,229:WARNING:Couldn't import cuml.ensemble
  18843. 2022-02-04 17:11:12,380:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18844. 2022-02-04 17:11:12,443:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18845. 2022-02-04 17:11:12,444:WARNING:Couldn't import cuml.MBSGDClassifier
  18846. 2022-02-04 17:11:12,445:WARNING:Couldn't import cuml.svm.SVC
  18847. 2022-02-04 17:11:12,478:WARNING:Couldn't import cuml.linear_model
  18848. 2022-02-04 17:11:12,486:WARNING:Couldn't import cuml.ensemble
  18849. 2022-02-04 17:11:12,606:INFO:Creating grid variables
  18850. 2022-02-04 17:11:12,620:INFO:create_model_container: 0
  18851. 2022-02-04 17:11:12,620:INFO:master_model_container: 0
  18852. 2022-02-04 17:11:12,621:INFO:display_container: 1
  18853. 2022-02-04 17:11:12,626:INFO:Pipeline(memory=None,
  18854. steps=[('dtypes',
  18855. DataTypes_Auto_infer(categorical_features=[],
  18856. display_types=True, features_todrop=[],
  18857. id_columns=[],
  18858. ml_usecase='classification',
  18859. numerical_features=[], target='label',
  18860. time_features=[])),
  18861. ('imputer',
  18862. Simple_Imputer(categorical_strategy='not_available',
  18863. fill_value_categorical=None,
  18864. fill_value_numerical=None,
  18865. numeric_strate...
  18866. target='label')),
  18867. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  18868. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  18869. ('dummy', Dummify(target='label')),
  18870. ('fix_perfect', Remove_100(target='label')),
  18871. ('clean_names', Clean_Colum_Names()),
  18872. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  18873. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  18874. verbose=False)
  18875. 2022-02-04 17:11:12,626:INFO:setup() succesfully completed......................................
  18876. 2022-02-04 17:11:24,301:INFO:Initializing create_model()
  18877. 2022-02-04 17:11:24,301:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 255})
  18878. 2022-02-04 17:11:24,301:INFO:Checking exceptions
  18879. 2022-02-04 17:11:24,301:INFO:Preparing display monitor
  18880. 2022-02-04 17:11:24,312:INFO:Importing libraries
  18881. 2022-02-04 17:11:24,312:INFO:Copying training dataset
  18882. 2022-02-04 17:11:24,313:INFO:Defining folds
  18883. 2022-02-04 17:11:24,313:INFO:Declaring metric variables
  18884. 2022-02-04 17:11:24,318:INFO:Importing untrained model
  18885. 2022-02-04 17:11:24,324:INFO:Extreme Gradient Boosting Imported succesfully
  18886. 2022-02-04 17:11:24,334:INFO:Starting cross validation
  18887. 2022-02-04 17:11:24,335:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18888. 2022-02-04 17:11:35,859:INFO:Calculating mean and std
  18889. 2022-02-04 17:11:35,860:INFO:Creating metrics dataframe
  18890. 2022-02-04 17:11:35,870:INFO:Finalizing model
  18891. 2022-02-04 17:11:37,147:INFO:Uploading results into container
  18892. 2022-02-04 17:11:37,147:INFO:Uploading model into container now
  18893. 2022-02-04 17:11:37,155:INFO:create_model_container: 1
  18894. 2022-02-04 17:11:37,155:INFO:master_model_container: 1
  18895. 2022-02-04 17:11:37,155:INFO:display_container: 2
  18896. 2022-02-04 17:11:37,157:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18897. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18898. gamma=0, gpu_id=0, importance_type=None,
  18899. interaction_constraints='', learning_rate=0.300000012,
  18900. max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
  18901. missing=nan, monotone_constraints='()', n_estimators=100,
  18902. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18903. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18904. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18905. use_label_encoder=True, validate_parameters=1, ...)
  18906. 2022-02-04 17:11:37,157:INFO:create_model() succesfully completed......................................
  18907. 2022-02-04 17:11:54,479:INFO:Initializing tune_model()
  18908. 2022-02-04 17:11:54,479:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18909. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18910. gamma=0, gpu_id=0, importance_type=None,
  18911. interaction_constraints='', learning_rate=0.300000012,
  18912. max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
  18913. missing=nan, monotone_constraints='()', n_estimators=100,
  18914. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18915. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18916. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18917. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'learning_rate': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  18918. 2022-02-04 17:11:54,479:INFO:Checking exceptions
  18919. 2022-02-04 17:11:54,480:INFO:Preparing display monitor
  18920. 2022-02-04 17:11:54,490:INFO:Copying training dataset
  18921. 2022-02-04 17:11:54,491:INFO:Checking base model
  18922. 2022-02-04 17:11:54,491:INFO:Base model : Extreme Gradient Boosting
  18923. 2022-02-04 17:11:54,496:INFO:Declaring metric variables
  18924. 2022-02-04 17:11:54,501:INFO:Defining Hyperparameters
  18925. 2022-02-04 17:11:54,595:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__learning_rate': [0.05, 0.005]}
  18926. 2022-02-04 17:11:54,595:INFO:Tuning with n_jobs=1
  18927. 2022-02-04 17:11:54,595:INFO:Initializing RandomizedSearchCV
  18928. 2022-02-04 17:29:01,657:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 32, 'actual_estimator__learning_rate': 0.05, 'actual_estimator__colsample_bytree': 0.8}
  18929. 2022-02-04 17:29:01,658:INFO:Hyperparameter search completed
  18930. 2022-02-04 17:29:01,658:INFO:SubProcess create_model() called ==================================
  18931. 2022-02-04 17:29:01,659:INFO:Initializing create_model()
  18932. 2022-02-04 17:29:01,659:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18933. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18934. gamma=0, gpu_id=0, importance_type=None,
  18935. interaction_constraints='', learning_rate=0.300000012,
  18936. max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
  18937. missing=nan, monotone_constraints='()', n_estimators=100,
  18938. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18939. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18940. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18941. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x000001C1FBCE0700>, kwargs={'max_leaves': 1024, 'max_depth': 32, 'learning_rate': 0.05, 'colsample_bytree': 0.8})
  18942. 2022-02-04 17:29:01,659:INFO:Checking exceptions
  18943. 2022-02-04 17:29:01,659:INFO:Importing libraries
  18944. 2022-02-04 17:29:01,659:INFO:Copying training dataset
  18945. 2022-02-04 17:29:01,661:INFO:Defining folds
  18946. 2022-02-04 17:29:01,661:INFO:Declaring metric variables
  18947. 2022-02-04 17:29:01,667:INFO:Importing untrained model
  18948. 2022-02-04 17:29:01,667:INFO:Declaring custom model
  18949. 2022-02-04 17:29:01,675:INFO:Extreme Gradient Boosting Imported succesfully
  18950. 2022-02-04 17:29:01,688:INFO:Starting cross validation
  18951. 2022-02-04 17:29:01,689:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18952. 2022-02-04 17:31:23,895:INFO:Calculating mean and std
  18953. 2022-02-04 17:31:23,896:INFO:Creating metrics dataframe
  18954. 2022-02-04 17:31:23,905:INFO:Finalizing model
  18955. 2022-02-04 17:31:39,416:INFO:Uploading results into container
  18956. 2022-02-04 17:31:39,417:INFO:Uploading model into container now
  18957. 2022-02-04 17:31:39,417:INFO:create_model_container: 2
  18958. 2022-02-04 17:31:39,417:INFO:master_model_container: 2
  18959. 2022-02-04 17:31:39,417:INFO:display_container: 3
  18960. 2022-02-04 17:31:39,418:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18961. colsample_bynode=1, colsample_bytree=0.8,
  18962. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  18963. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  18964. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  18965. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18966. num_parallel_tree=1, objective='binary:logistic',
  18967. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18968. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18969. use_label_encoder=True, validate_parameters=1, ...)
  18970. 2022-02-04 17:31:39,418:INFO:create_model() succesfully completed......................................
  18971. 2022-02-04 17:31:39,495:INFO:SubProcess create_model() end ==================================
  18972. 2022-02-04 17:31:39,503:INFO:create_model_container: 2
  18973. 2022-02-04 17:31:39,503:INFO:master_model_container: 2
  18974. 2022-02-04 17:31:39,503:INFO:display_container: 3
  18975. 2022-02-04 17:31:39,504:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18976. colsample_bynode=1, colsample_bytree=0.8,
  18977. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  18978. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  18979. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  18980. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18981. num_parallel_tree=1, objective='binary:logistic',
  18982. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18983. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18984. use_label_encoder=True, validate_parameters=1, ...)
  18985. 2022-02-04 17:31:39,504:INFO:tune_model() succesfully completed......................................
  18986. 2022-02-07 08:13:52,179:INFO:Initializing evaluate_model()
  18987. 2022-02-07 08:13:52,179:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18988. colsample_bynode=1, colsample_bytree=0.8,
  18989. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  18990. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  18991. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  18992. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18993. num_parallel_tree=1, objective='binary:logistic',
  18994. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18995. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18996. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  18997. 2022-02-07 08:13:52,192:INFO:Initializing plot_model()
  18998. 2022-02-07 08:13:52,192:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18999. colsample_bynode=1, colsample_bytree=0.8,
  19000. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19001. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19002. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19003. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19004. num_parallel_tree=1, objective='binary:logistic',
  19005. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19006. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19007. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19008. 2022-02-07 08:13:52,192:INFO:Checking exceptions
  19009. 2022-02-07 08:13:52,196:INFO:Preparing display monitor
  19010. 2022-02-07 08:13:52,200:INFO:Preloading libraries
  19011. 2022-02-07 08:13:52,487:INFO:Copying training dataset
  19012. 2022-02-07 08:13:52,489:INFO:Copying test dataset
  19013. 2022-02-07 08:13:52,489:INFO:Plot type: parameter
  19014. 2022-02-07 08:13:52,499:INFO:Visual Rendered Successfully
  19015. 2022-02-07 08:13:52,587:INFO:plot_model() succesfully completed......................................
  19016. 2022-02-07 08:14:47,246:INFO:Initializing plot_model()
  19017. 2022-02-07 08:14:47,247:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19018. colsample_bynode=1, colsample_bytree=0.8,
  19019. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19020. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19021. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19022. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19023. num_parallel_tree=1, objective='binary:logistic',
  19024. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19025. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19026. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  19027. 2022-02-07 08:14:47,247:INFO:Checking exceptions
  19028. 2022-02-07 08:14:47,250:INFO:Preparing display monitor
  19029. 2022-02-07 08:14:47,254:INFO:Preloading libraries
  19030. 2022-02-07 08:14:47,533:INFO:Copying training dataset
  19031. 2022-02-07 08:14:47,535:INFO:Copying test dataset
  19032. 2022-02-07 08:14:47,535:INFO:Plot type: confusion_matrix
  19033. 2022-02-07 08:14:47,542:INFO:Initializing get_config()
  19034. 2022-02-07 08:14:47,542:INFO:get_config(variable=prep_pipe)
  19035. 2022-02-07 08:14:47,545:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19036. steps=[('dtypes',
  19037. DataTypes_Auto_infer(categorical_features=[],
  19038. display_types=True, features_todrop=[],
  19039. id_columns=[],
  19040. ml_usecase='classification',
  19041. numerical_features=[], target='label',
  19042. time_features=[])),
  19043. ('imputer',
  19044. Simple_Imputer(categorical_strategy='not_available',
  19045. fill_value_categorical=None,
  19046. fill_value_numerical=None,
  19047. numeric_strate...
  19048. target='label')),
  19049. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19050. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19051. ('dummy', Dummify(target='label')),
  19052. ('fix_perfect', Remove_100(target='label')),
  19053. ('clean_names', Clean_Colum_Names()),
  19054. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19055. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19056. verbose=False)
  19057. 2022-02-07 08:14:47,545:INFO:get_config() succesfully completed......................................
  19058. 2022-02-07 08:14:47,556:INFO:Fitting Model
  19059. 2022-02-07 08:14:47,558:INFO:Scoring test/hold-out set
  19060. 2022-02-07 08:14:47,710:INFO:Visual Rendered Successfully
  19061. 2022-02-07 08:14:47,799:INFO:plot_model() succesfully completed......................................
  19062. 2022-02-07 08:16:55,028:INFO:Initializing plot_model()
  19063. 2022-02-07 08:16:55,028:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19064. colsample_bynode=1, colsample_bytree=0.8,
  19065. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19066. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19067. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19068. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19069. num_parallel_tree=1, objective='binary:logistic',
  19070. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19071. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19072. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  19073. 2022-02-07 08:16:55,028:INFO:Checking exceptions
  19074. 2022-02-07 08:16:55,031:INFO:Preparing display monitor
  19075. 2022-02-07 08:16:55,035:INFO:Preloading libraries
  19076. 2022-02-07 08:16:55,319:INFO:Copying training dataset
  19077. 2022-02-07 08:16:55,320:INFO:Copying test dataset
  19078. 2022-02-07 08:16:55,320:INFO:Plot type: feature_all
  19079. 2022-02-07 08:16:55,327:WARNING:No coef_ found. Trying feature_importances_
  19080. 2022-02-07 08:16:55,440:INFO:Visual Rendered Successfully
  19081. 2022-02-07 08:16:55,522:INFO:plot_model() succesfully completed......................................
  19082. 2022-02-07 08:20:54,526:INFO:Initializing plot_model()
  19083. 2022-02-07 08:20:54,526:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19084. colsample_bynode=1, colsample_bytree=0.8,
  19085. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19086. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19087. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19088. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19089. num_parallel_tree=1, objective='binary:logistic',
  19090. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19091. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19092. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  19093. 2022-02-07 08:20:54,526:INFO:Checking exceptions
  19094. 2022-02-07 08:20:54,530:INFO:Preparing display monitor
  19095. 2022-02-07 08:20:54,534:INFO:Preloading libraries
  19096. 2022-02-07 08:20:54,830:INFO:Copying training dataset
  19097. 2022-02-07 08:20:54,831:INFO:Copying test dataset
  19098. 2022-02-07 08:20:54,831:INFO:Plot type: pr
  19099. 2022-02-07 08:20:54,845:INFO:Fitting Model
  19100. 2022-02-07 08:20:54,847:INFO:Scoring test/hold-out set
  19101. 2022-02-07 08:20:54,982:INFO:Visual Rendered Successfully
  19102. 2022-02-07 08:20:55,062:INFO:plot_model() succesfully completed......................................
  19103. 2022-02-07 08:21:01,780:INFO:Initializing plot_model()
  19104. 2022-02-07 08:21:01,780:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19105. colsample_bynode=1, colsample_bytree=0.8,
  19106. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19107. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19108. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19109. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19110. num_parallel_tree=1, objective='binary:logistic',
  19111. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19112. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19113. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19114. 2022-02-07 08:21:01,780:INFO:Checking exceptions
  19115. 2022-02-07 08:21:01,783:INFO:Preparing display monitor
  19116. 2022-02-07 08:21:01,787:INFO:Preloading libraries
  19117. 2022-02-07 08:21:02,066:INFO:Copying training dataset
  19118. 2022-02-07 08:21:02,067:INFO:Copying test dataset
  19119. 2022-02-07 08:21:02,067:INFO:Plot type: parameter
  19120. 2022-02-07 08:21:02,078:INFO:Visual Rendered Successfully
  19121. 2022-02-07 08:21:02,168:INFO:plot_model() succesfully completed......................................
  19122. 2022-02-07 08:21:05,461:INFO:Initializing plot_model()
  19123. 2022-02-07 08:21:05,462:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19124. colsample_bynode=1, colsample_bytree=0.8,
  19125. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19126. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19127. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19128. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19129. num_parallel_tree=1, objective='binary:logistic',
  19130. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19131. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19132. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  19133. 2022-02-07 08:21:05,462:INFO:Checking exceptions
  19134. 2022-02-07 08:21:05,465:INFO:Preparing display monitor
  19135. 2022-02-07 08:21:05,469:INFO:Preloading libraries
  19136. 2022-02-07 08:21:05,753:INFO:Copying training dataset
  19137. 2022-02-07 08:21:05,754:INFO:Copying test dataset
  19138. 2022-02-07 08:21:05,754:INFO:Plot type: auc
  19139. 2022-02-07 08:21:05,760:INFO:Initializing get_config()
  19140. 2022-02-07 08:21:05,761:INFO:get_config(variable=prep_pipe)
  19141. 2022-02-07 08:21:05,764:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19142. steps=[('dtypes',
  19143. DataTypes_Auto_infer(categorical_features=[],
  19144. display_types=True, features_todrop=[],
  19145. id_columns=[],
  19146. ml_usecase='classification',
  19147. numerical_features=[], target='label',
  19148. time_features=[])),
  19149. ('imputer',
  19150. Simple_Imputer(categorical_strategy='not_available',
  19151. fill_value_categorical=None,
  19152. fill_value_numerical=None,
  19153. numeric_strate...
  19154. target='label')),
  19155. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19156. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19157. ('dummy', Dummify(target='label')),
  19158. ('fix_perfect', Remove_100(target='label')),
  19159. ('clean_names', Clean_Colum_Names()),
  19160. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19161. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19162. verbose=False)
  19163. 2022-02-07 08:21:05,764:INFO:get_config() succesfully completed......................................
  19164. 2022-02-07 08:21:05,771:INFO:Fitting Model
  19165. 2022-02-07 08:21:05,773:INFO:Scoring test/hold-out set
  19166. 2022-02-07 08:21:05,922:INFO:Visual Rendered Successfully
  19167. 2022-02-07 08:21:06,012:INFO:plot_model() succesfully completed......................................
  19168. 2022-02-07 08:21:12,582:INFO:Initializing plot_model()
  19169. 2022-02-07 08:21:12,582:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19170. colsample_bynode=1, colsample_bytree=0.8,
  19171. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19172. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19173. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19174. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19175. num_parallel_tree=1, objective='binary:logistic',
  19176. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19177. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19178. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  19179. 2022-02-07 08:21:12,582:INFO:Checking exceptions
  19180. 2022-02-07 08:21:12,585:INFO:Preparing display monitor
  19181. 2022-02-07 08:21:12,589:INFO:Preloading libraries
  19182. 2022-02-07 08:21:12,875:INFO:Copying training dataset
  19183. 2022-02-07 08:21:12,876:INFO:Copying test dataset
  19184. 2022-02-07 08:21:12,877:INFO:Plot type: confusion_matrix
  19185. 2022-02-07 08:21:12,883:INFO:Initializing get_config()
  19186. 2022-02-07 08:21:12,883:INFO:get_config(variable=prep_pipe)
  19187. 2022-02-07 08:21:12,886:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19188. steps=[('dtypes',
  19189. DataTypes_Auto_infer(categorical_features=[],
  19190. display_types=True, features_todrop=[],
  19191. id_columns=[],
  19192. ml_usecase='classification',
  19193. numerical_features=[], target='label',
  19194. time_features=[])),
  19195. ('imputer',
  19196. Simple_Imputer(categorical_strategy='not_available',
  19197. fill_value_categorical=None,
  19198. fill_value_numerical=None,
  19199. numeric_strate...
  19200. target='label')),
  19201. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19202. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19203. ('dummy', Dummify(target='label')),
  19204. ('fix_perfect', Remove_100(target='label')),
  19205. ('clean_names', Clean_Colum_Names()),
  19206. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19207. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19208. verbose=False)
  19209. 2022-02-07 08:21:12,886:INFO:get_config() succesfully completed......................................
  19210. 2022-02-07 08:21:12,894:INFO:Fitting Model
  19211. 2022-02-07 08:21:12,895:INFO:Scoring test/hold-out set
  19212. 2022-02-07 08:21:13,033:INFO:Visual Rendered Successfully
  19213. 2022-02-07 08:21:13,119:INFO:plot_model() succesfully completed......................................
  19214. 2022-02-07 08:21:24,379:INFO:Initializing plot_model()
  19215. 2022-02-07 08:21:24,379:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19216. colsample_bynode=1, colsample_bytree=0.8,
  19217. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19218. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19219. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19220. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19221. num_parallel_tree=1, objective='binary:logistic',
  19222. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19223. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19224. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  19225. 2022-02-07 08:21:24,379:INFO:Checking exceptions
  19226. 2022-02-07 08:21:24,382:INFO:Preparing display monitor
  19227. 2022-02-07 08:21:24,386:INFO:Preloading libraries
  19228. 2022-02-07 08:21:24,667:INFO:Copying training dataset
  19229. 2022-02-07 08:21:24,668:INFO:Copying test dataset
  19230. 2022-02-07 08:21:24,669:INFO:Plot type: error
  19231. 2022-02-07 08:21:24,675:INFO:Initializing get_config()
  19232. 2022-02-07 08:21:24,675:INFO:get_config(variable=prep_pipe)
  19233. 2022-02-07 08:21:24,678:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19234. steps=[('dtypes',
  19235. DataTypes_Auto_infer(categorical_features=[],
  19236. display_types=True, features_todrop=[],
  19237. id_columns=[],
  19238. ml_usecase='classification',
  19239. numerical_features=[], target='label',
  19240. time_features=[])),
  19241. ('imputer',
  19242. Simple_Imputer(categorical_strategy='not_available',
  19243. fill_value_categorical=None,
  19244. fill_value_numerical=None,
  19245. numeric_strate...
  19246. target='label')),
  19247. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19248. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19249. ('dummy', Dummify(target='label')),
  19250. ('fix_perfect', Remove_100(target='label')),
  19251. ('clean_names', Clean_Colum_Names()),
  19252. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19253. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19254. verbose=False)
  19255. 2022-02-07 08:21:24,678:INFO:get_config() succesfully completed......................................
  19256. 2022-02-07 08:21:24,686:INFO:Fitting Model
  19257. 2022-02-07 08:21:24,687:INFO:Scoring test/hold-out set
  19258. 2022-02-07 08:21:24,817:INFO:Visual Rendered Successfully
  19259. 2022-02-07 08:21:24,903:INFO:plot_model() succesfully completed......................................
  19260. 2022-02-07 08:21:31,482:INFO:Initializing plot_model()
  19261. 2022-02-07 08:21:31,482:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19262. colsample_bynode=1, colsample_bytree=0.8,
  19263. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19264. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19265. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19266. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19267. num_parallel_tree=1, objective='binary:logistic',
  19268. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19269. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19270. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  19271. 2022-02-07 08:21:31,482:INFO:Checking exceptions
  19272. 2022-02-07 08:21:31,485:INFO:Preparing display monitor
  19273. 2022-02-07 08:21:31,489:INFO:Preloading libraries
  19274. 2022-02-07 08:21:31,775:INFO:Copying training dataset
  19275. 2022-02-07 08:21:31,776:INFO:Copying test dataset
  19276. 2022-02-07 08:21:31,776:INFO:Plot type: class_report
  19277. 2022-02-07 08:21:31,783:INFO:Initializing get_config()
  19278. 2022-02-07 08:21:31,783:INFO:get_config(variable=prep_pipe)
  19279. 2022-02-07 08:21:31,786:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19280. steps=[('dtypes',
  19281. DataTypes_Auto_infer(categorical_features=[],
  19282. display_types=True, features_todrop=[],
  19283. id_columns=[],
  19284. ml_usecase='classification',
  19285. numerical_features=[], target='label',
  19286. time_features=[])),
  19287. ('imputer',
  19288. Simple_Imputer(categorical_strategy='not_available',
  19289. fill_value_categorical=None,
  19290. fill_value_numerical=None,
  19291. numeric_strate...
  19292. target='label')),
  19293. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19294. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19295. ('dummy', Dummify(target='label')),
  19296. ('fix_perfect', Remove_100(target='label')),
  19297. ('clean_names', Clean_Colum_Names()),
  19298. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19299. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19300. verbose=False)
  19301. 2022-02-07 08:21:31,786:INFO:get_config() succesfully completed......................................
  19302. 2022-02-07 08:21:31,794:INFO:Fitting Model
  19303. 2022-02-07 08:21:31,795:INFO:Scoring test/hold-out set
  19304. 2022-02-07 08:21:31,967:INFO:Visual Rendered Successfully
  19305. 2022-02-07 08:21:32,064:INFO:plot_model() succesfully completed......................................
  19306. 2022-02-07 08:23:25,292:INFO:Initializing plot_model()
  19307. 2022-02-07 08:23:25,292:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19308. colsample_bynode=1, colsample_bytree=0.8,
  19309. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19310. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19311. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19312. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19313. num_parallel_tree=1, objective='binary:logistic',
  19314. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19315. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19316. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=learning, plot_kwargs={}, save=False, scale=1, system=True)
  19317. 2022-02-07 08:23:25,292:INFO:Checking exceptions
  19318. 2022-02-07 08:23:25,296:INFO:Preparing display monitor
  19319. 2022-02-07 08:23:25,299:INFO:Preloading libraries
  19320. 2022-02-07 08:23:25,584:INFO:Copying training dataset
  19321. 2022-02-07 08:23:25,585:INFO:Copying test dataset
  19322. 2022-02-07 08:23:25,585:INFO:Plot type: learning
  19323. 2022-02-07 08:23:25,605:INFO:Fitting Model
  19324. 2022-02-07 08:37:54,463:INFO:Visual Rendered Successfully
  19325. 2022-02-07 08:37:54,542:INFO:plot_model() succesfully completed......................................
  19326. 2022-02-07 10:49:16,101:INFO:Initializing interpret_model()
  19327. 2022-02-07 10:49:16,101:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19328. colsample_bynode=1, colsample_bytree=0.8,
  19329. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19330. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19331. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19332. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19333. num_parallel_tree=1, objective='binary:logistic',
  19334. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19335. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19336. use_label_encoder=True, validate_parameters=1, ...), use_train_data=False, X_new_sample=None, y_new_sample=None, feature=None, kwargs={}, observation=None, plot=summary, save=False)
  19337. 2022-02-07 10:49:16,101:INFO:Checking exceptions
  19338. 2022-02-07 10:49:16,225:INFO:plot type: summary
  19339. 2022-02-07 10:49:16,225:INFO:Creating TreeExplainer
  19340. 2022-02-07 10:49:17,492:INFO:Compiling shap values
  19341. 2022-02-07 10:49:20,098:INFO:Visual Rendered Successfully
  19342. 2022-02-07 10:49:20,098:INFO:interpret_model() succesfully completed......................................
  19343. 2022-02-07 10:54:39,848:INFO:PyCaret Supervised Module
  19344. 2022-02-07 10:54:39,849:INFO:ML Usecase: classification
  19345. 2022-02-07 10:54:39,849:INFO:version 2.3.6
  19346. 2022-02-07 10:54:39,849:INFO:Initializing setup()
  19347. 2022-02-07 10:54:39,849:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  19348. 2022-02-07 10:54:39,849:INFO:Checking environment
  19349. 2022-02-07 10:54:39,849:INFO:python_version: 3.8.12
  19350. 2022-02-07 10:54:39,849:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  19351. 2022-02-07 10:54:39,849:INFO:machine: AMD64
  19352. 2022-02-07 10:54:39,849:INFO:platform: Windows-10-10.0.22000-SP0
  19353. 2022-02-07 10:54:39,849:INFO:Memory: svmem(total=68629372928, available=56005222400, percent=18.4, used=12624150528, free=56005222400)
  19354. 2022-02-07 10:54:39,849:INFO:Physical Core: 16
  19355. 2022-02-07 10:54:39,849:INFO:Logical Core: 32
  19356. 2022-02-07 10:54:39,849:INFO:Checking libraries
  19357. 2022-02-07 10:54:39,849:INFO:pd==1.3.5
  19358. 2022-02-07 10:54:39,849:INFO:numpy==1.21.5
  19359. 2022-02-07 10:54:39,849:INFO:sklearn==0.23.2
  19360. 2022-02-07 10:54:39,850:INFO:lightgbm==3.3.2
  19361. 2022-02-07 10:54:40,131:INFO:catboost==1.0.4
  19362. 2022-02-07 10:54:40,439:INFO:xgboost==1.5.2
  19363. 2022-02-07 10:54:41,145:INFO:mlflow==1.23.1
  19364. 2022-02-07 10:54:41,146:INFO:Checking Exceptions
  19365. 2022-02-07 10:54:41,147:INFO:Declaring global variables
  19366. 2022-02-07 10:54:41,147:INFO:USI: ece6
  19367. 2022-02-07 10:54:41,147:INFO:pycaret_globals: {'_available_plots', 'create_model_container', '_all_models', 'y_test', 'fold_groups_param_full', 'y_train', 'X_test', 'fix_imbalance_param', 'log_plots_param', '_all_metrics', 'prep_pipe', 'imputation_classifier', 'fold_generator', 'data_before_preprocess', 'X_train', 'stratify_param', 'X', '_all_models_internal', 'pycaret_globals', 'imputation_regressor', 'seed', 'html_param', 'iterative_imputation_iters_param', '_ml_usecase', 'master_model_container', 'USI', 'transform_target_param', 'transform_target_method_param', 'fold_param', 'fold_shuffle_param', 'gpu_param', 'target_param', '_gpu_n_jobs_param', 'experiment__', '_internal_pipeline', 'fix_imbalance_method_param', 'display_container', 'exp_name_log', 'fold_groups_param', 'n_jobs_param', 'logging_param', 'y'}
  19368. 2022-02-07 10:54:41,147:INFO:Preparing display monitor
  19369. 2022-02-07 10:54:41,147:INFO:Preparing display monitor
  19370. 2022-02-07 10:54:41,157:INFO:Importing libraries
  19371. 2022-02-07 10:54:41,157:INFO:Copying data for preprocessing
  19372. 2022-02-07 10:54:41,163:INFO:Declaring preprocessing parameters
  19373. 2022-02-07 10:54:41,163:WARNING:cuML not found
  19374. 2022-02-07 10:54:41,163:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  19375. 2022-02-07 10:54:41,167:INFO:Creating preprocessing pipeline
  19376. 2022-02-07 10:54:41,221:INFO:Preprocessing pipeline created successfully
  19377. 2022-02-07 10:54:41,221:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  19378. 2022-02-07 10:54:41,222:INFO:Creating global containers
  19379. 2022-02-07 10:54:41,224:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  19380. 2022-02-07 10:55:08,904:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  19381. 2022-02-07 10:55:08,938:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  19382. 2022-02-07 10:55:08,940:WARNING:Couldn't import cuml.MBSGDClassifier
  19383. 2022-02-07 10:55:08,941:WARNING:Couldn't import cuml.svm.SVC
  19384. 2022-02-07 10:55:08,962:WARNING:Couldn't import cuml.linear_model
  19385. 2022-02-07 10:55:08,966:WARNING:Couldn't import cuml.ensemble
  19386. 2022-02-07 10:55:09,417:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  19387. 2022-02-07 10:55:09,478:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  19388. 2022-02-07 10:55:09,479:WARNING:Couldn't import cuml.MBSGDClassifier
  19389. 2022-02-07 10:55:09,481:WARNING:Couldn't import cuml.svm.SVC
  19390. 2022-02-07 10:55:09,513:WARNING:Couldn't import cuml.linear_model
  19391. 2022-02-07 10:55:09,517:WARNING:Couldn't import cuml.ensemble
  19392. 2022-02-07 10:55:09,637:INFO:Creating grid variables
  19393. 2022-02-07 10:55:09,651:INFO:create_model_container: 0
  19394. 2022-02-07 10:55:09,651:INFO:master_model_container: 0
  19395. 2022-02-07 10:55:09,651:INFO:display_container: 1
  19396. 2022-02-07 10:55:09,657:INFO:Pipeline(memory=None,
  19397. steps=[('dtypes',
  19398. DataTypes_Auto_infer(categorical_features=[],
  19399. display_types=True, features_todrop=[],
  19400. id_columns=[],
  19401. ml_usecase='classification',
  19402. numerical_features=[], target='label',
  19403. time_features=[])),
  19404. ('imputer',
  19405. Simple_Imputer(categorical_strategy='not_available',
  19406. fill_value_categorical=None,
  19407. fill_value_numerical=None,
  19408. numeric_strate...
  19409. target='label')),
  19410. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19411. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19412. ('dummy', Dummify(target='label')),
  19413. ('fix_perfect', Remove_100(target='label')),
  19414. ('clean_names', Clean_Colum_Names()),
  19415. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19416. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19417. verbose=False)
  19418. 2022-02-07 10:55:09,657:INFO:setup() succesfully completed......................................
  19419. 2022-02-07 11:01:55,359:INFO:Initializing create_model()
  19420. 2022-02-07 11:01:55,359:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 1024})
  19421. 2022-02-07 11:01:55,359:INFO:Checking exceptions
  19422. 2022-02-07 11:01:55,359:INFO:Preparing display monitor
  19423. 2022-02-07 11:01:55,370:INFO:Importing libraries
  19424. 2022-02-07 11:01:55,371:INFO:Copying training dataset
  19425. 2022-02-07 11:01:55,372:INFO:Defining folds
  19426. 2022-02-07 11:01:55,372:INFO:Declaring metric variables
  19427. 2022-02-07 11:01:55,376:INFO:Importing untrained model
  19428. 2022-02-07 11:01:55,382:INFO:Extreme Gradient Boosting Imported succesfully
  19429. 2022-02-07 11:01:55,392:INFO:Starting cross validation
  19430. 2022-02-07 11:01:55,393:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  19431. 2022-02-07 11:02:32,717:INFO:Calculating mean and std
  19432. 2022-02-07 11:02:32,718:INFO:Creating metrics dataframe
  19433. 2022-02-07 11:02:32,730:INFO:Finalizing model
  19434. 2022-02-07 11:02:36,461:INFO:Uploading results into container
  19435. 2022-02-07 11:02:36,461:INFO:Uploading model into container now
  19436. 2022-02-07 11:02:36,469:INFO:create_model_container: 1
  19437. 2022-02-07 11:02:36,470:INFO:master_model_container: 1
  19438. 2022-02-07 11:02:36,470:INFO:display_container: 2
  19439. 2022-02-07 11:02:36,471:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19440. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  19441. gamma=0, gpu_id=0, importance_type=None,
  19442. interaction_constraints='', learning_rate=0.300000012,
  19443. max_delta_step=0, max_depth=16, max_leaves=1024,
  19444. min_child_weight=1, missing=nan, monotone_constraints='()',
  19445. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  19446. objective='binary:logistic', predictor='auto', random_state=1504,
  19447. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  19448. tree_method='gpu_hist', use_label_encoder=True,
  19449. validate_parameters=1, ...)
  19450. 2022-02-07 11:02:36,471:INFO:create_model() succesfully completed......................................
  19451. 2022-02-07 11:03:16,205:INFO:Initializing create_model()
  19452. 2022-02-07 11:03:16,205:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  19453. 2022-02-07 11:03:16,205:INFO:Checking exceptions
  19454. 2022-02-07 11:03:16,205:INFO:Preparing display monitor
  19455. 2022-02-07 11:03:16,217:INFO:Importing libraries
  19456. 2022-02-07 11:03:16,217:INFO:Copying training dataset
  19457. 2022-02-07 11:03:16,218:INFO:Defining folds
  19458. 2022-02-07 11:03:16,218:INFO:Declaring metric variables
  19459. 2022-02-07 11:03:16,223:INFO:Importing untrained model
  19460. 2022-02-07 11:03:16,228:INFO:Extreme Gradient Boosting Imported succesfully
  19461. 2022-02-07 11:03:16,237:INFO:Starting cross validation
  19462. 2022-02-07 11:03:16,238:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  19463. 2022-02-07 11:03:27,978:INFO:Calculating mean and std
  19464. 2022-02-07 11:03:27,979:INFO:Creating metrics dataframe
  19465. 2022-02-07 11:03:27,990:INFO:Finalizing model
  19466. 2022-02-07 11:03:28,919:INFO:Uploading results into container
  19467. 2022-02-07 11:03:28,919:INFO:Uploading model into container now
  19468. 2022-02-07 11:03:28,926:INFO:create_model_container: 2
  19469. 2022-02-07 11:03:28,926:INFO:master_model_container: 2
  19470. 2022-02-07 11:03:28,927:INFO:display_container: 3
  19471. 2022-02-07 11:03:28,928:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19472. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  19473. gamma=0, gpu_id=0, importance_type=None,
  19474. interaction_constraints='', learning_rate=0.300000012,
  19475. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  19476. missing=nan, monotone_constraints='()', n_estimators=100,
  19477. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  19478. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19479. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19480. use_label_encoder=True, validate_parameters=1, ...)
  19481. 2022-02-07 11:03:28,928:INFO:create_model() succesfully completed......................................
  19482. 2022-02-07 11:05:44,992:INFO:Initializing get_config()
  19483. 2022-02-07 11:05:44,992:INFO:get_config(variable=prep_pipe)
  19484. 2022-02-07 11:05:44,995:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19485. steps=[('dtypes',
  19486. DataTypes_Auto_infer(categorical_features=[],
  19487. display_types=True, features_todrop=[],
  19488. id_columns=[],
  19489. ml_usecase='classification',
  19490. numerical_features=[], target='label',
  19491. time_features=[])),
  19492. ('imputer',
  19493. Simple_Imputer(categorical_strategy='not_available',
  19494. fill_value_categorical=None,
  19495. fill_value_numerical=None,
  19496. numeric_strate...
  19497. target='label')),
  19498. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19499. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19500. ('dummy', Dummify(target='label')),
  19501. ('fix_perfect', Remove_100(target='label')),
  19502. ('clean_names', Clean_Colum_Names()),
  19503. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19504. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19505. verbose=False)
  19506. 2022-02-07 11:05:44,995:INFO:get_config() succesfully completed......................................
  19507. 2022-02-07 11:09:06,796:INFO:Initializing tune_model()
  19508. 2022-02-07 11:09:06,796:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19509. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  19510. gamma=0, gpu_id=0, importance_type=None,
  19511. interaction_constraints='', learning_rate=0.300000012,
  19512. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  19513. missing=nan, monotone_constraints='()', n_estimators=100,
  19514. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  19515. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19516. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19517. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'learning_rate': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  19518. 2022-02-07 11:09:06,796:INFO:Checking exceptions
  19519. 2022-02-07 11:09:06,797:INFO:Preparing display monitor
  19520. 2022-02-07 11:09:06,808:INFO:Copying training dataset
  19521. 2022-02-07 11:09:06,809:INFO:Checking base model
  19522. 2022-02-07 11:09:06,809:INFO:Base model : Extreme Gradient Boosting
  19523. 2022-02-07 11:09:06,815:INFO:Declaring metric variables
  19524. 2022-02-07 11:09:06,820:INFO:Defining Hyperparameters
  19525. 2022-02-07 11:09:06,959:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__learning_rate': [0.05, 0.005]}
  19526. 2022-02-07 11:09:06,960:INFO:Tuning with n_jobs=1
  19527. 2022-02-07 11:09:06,960:INFO:Initializing RandomizedSearchCV
  19528. 2022-02-07 11:21:18,768:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 64, 'actual_estimator__learning_rate': 0.05, 'actual_estimator__colsample_bytree': 0.6}
  19529. 2022-02-07 11:21:18,769:INFO:Hyperparameter search completed
  19530. 2022-02-07 11:21:18,769:INFO:SubProcess create_model() called ==================================
  19531. 2022-02-07 11:21:18,770:INFO:Initializing create_model()
  19532. 2022-02-07 11:21:18,770:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19533. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  19534. gamma=0, gpu_id=0, importance_type=None,
  19535. interaction_constraints='', learning_rate=0.300000012,
  19536. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  19537. missing=nan, monotone_constraints='()', n_estimators=100,
  19538. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  19539. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19540. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19541. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000022C8BF32820>, kwargs={'max_leaves': 1024, 'max_depth': 64, 'learning_rate': 0.05, 'colsample_bytree': 0.6})
  19542. 2022-02-07 11:21:18,770:INFO:Checking exceptions
  19543. 2022-02-07 11:21:18,770:INFO:Importing libraries
  19544. 2022-02-07 11:21:18,770:INFO:Copying training dataset
  19545. 2022-02-07 11:21:18,772:INFO:Defining folds
  19546. 2022-02-07 11:21:18,772:INFO:Declaring metric variables
  19547. 2022-02-07 11:21:18,779:INFO:Importing untrained model
  19548. 2022-02-07 11:21:18,779:INFO:Declaring custom model
  19549. 2022-02-07 11:21:18,787:INFO:Extreme Gradient Boosting Imported succesfully
  19550. 2022-02-07 11:21:18,800:INFO:Starting cross validation
  19551. 2022-02-07 11:21:18,801:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  19552. 2022-02-07 11:23:07,265:INFO:Calculating mean and std
  19553. 2022-02-07 11:23:07,266:INFO:Creating metrics dataframe
  19554. 2022-02-07 11:23:07,276:INFO:Finalizing model
  19555. 2022-02-07 11:23:20,419:INFO:Uploading results into container
  19556. 2022-02-07 11:23:20,420:INFO:Uploading model into container now
  19557. 2022-02-07 11:23:20,420:INFO:create_model_container: 3
  19558. 2022-02-07 11:23:20,420:INFO:master_model_container: 3
  19559. 2022-02-07 11:23:20,420:INFO:display_container: 4
  19560. 2022-02-07 11:23:20,421:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19561. colsample_bynode=1, colsample_bytree=0.6,
  19562. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19563. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19564. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19565. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19566. num_parallel_tree=1, objective='binary:logistic',
  19567. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19568. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19569. use_label_encoder=True, validate_parameters=1, ...)
  19570. 2022-02-07 11:23:20,421:INFO:create_model() succesfully completed......................................
  19571. 2022-02-07 11:23:20,563:INFO:SubProcess create_model() end ==================================
  19572. 2022-02-07 11:23:20,571:INFO:create_model_container: 3
  19573. 2022-02-07 11:23:20,571:INFO:master_model_container: 3
  19574. 2022-02-07 11:23:20,571:INFO:display_container: 4
  19575. 2022-02-07 11:23:20,572:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19576. colsample_bynode=1, colsample_bytree=0.6,
  19577. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19578. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19579. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19580. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19581. num_parallel_tree=1, objective='binary:logistic',
  19582. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19583. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19584. use_label_encoder=True, validate_parameters=1, ...)
  19585. 2022-02-07 11:23:20,572:INFO:tune_model() succesfully completed......................................
  19586. 2022-02-07 11:25:13,263:INFO:Initializing interpret_model()
  19587. 2022-02-07 11:25:13,263:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19588. colsample_bynode=1, colsample_bytree=0.6,
  19589. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19590. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19591. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19592. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19593. num_parallel_tree=1, objective='binary:logistic',
  19594. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19595. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19596. use_label_encoder=True, validate_parameters=1, ...), use_train_data=False, X_new_sample=None, y_new_sample=None, feature=None, kwargs={}, observation=None, plot=summary, save=False)
  19597. 2022-02-07 11:25:13,263:INFO:Checking exceptions
  19598. 2022-02-07 11:25:13,380:INFO:plot type: summary
  19599. 2022-02-07 11:25:13,380:INFO:Creating TreeExplainer
  19600. 2022-02-07 11:25:14,729:INFO:Compiling shap values
  19601. 2022-02-07 11:25:16,213:INFO:Visual Rendered Successfully
  19602. 2022-02-07 11:25:16,213:INFO:interpret_model() succesfully completed......................................
  19603. 2022-02-07 11:46:23,513:INFO:Initializing evaluate_model()
  19604. 2022-02-07 11:46:23,513:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19605. colsample_bynode=1, colsample_bytree=0.6,
  19606. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19607. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19608. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19609. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19610. num_parallel_tree=1, objective='binary:logistic',
  19611. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19612. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19613. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  19614. 2022-02-07 11:46:23,528:INFO:Initializing plot_model()
  19615. 2022-02-07 11:46:23,528:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19616. colsample_bynode=1, colsample_bytree=0.6,
  19617. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19618. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19619. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19620. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19621. num_parallel_tree=1, objective='binary:logistic',
  19622. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19623. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19624. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19625. 2022-02-07 11:46:23,528:INFO:Checking exceptions
  19626. 2022-02-07 11:46:23,532:INFO:Preparing display monitor
  19627. 2022-02-07 11:46:23,536:INFO:Preloading libraries
  19628. 2022-02-07 11:46:23,843:INFO:Copying training dataset
  19629. 2022-02-07 11:46:23,845:INFO:Copying test dataset
  19630. 2022-02-07 11:46:23,845:INFO:Plot type: parameter
  19631. 2022-02-07 11:46:23,856:INFO:Visual Rendered Successfully
  19632. 2022-02-07 11:46:23,998:INFO:plot_model() succesfully completed......................................
  19633. 2022-02-07 12:52:57,875:INFO:Initializing plot_model()
  19634. 2022-02-07 12:52:57,875:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19635. colsample_bynode=1, colsample_bytree=0.6,
  19636. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19637. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19638. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19639. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19640. num_parallel_tree=1, objective='binary:logistic',
  19641. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19642. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19643. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  19644. 2022-02-07 12:52:57,876:INFO:Checking exceptions
  19645. 2022-02-07 12:52:57,879:INFO:Preparing display monitor
  19646. 2022-02-07 12:52:57,883:INFO:Preloading libraries
  19647. 2022-02-07 12:52:58,185:INFO:Copying training dataset
  19648. 2022-02-07 12:52:58,186:INFO:Copying test dataset
  19649. 2022-02-07 12:52:58,186:INFO:Plot type: lift
  19650. 2022-02-07 12:52:58,193:INFO:Generating predictions / predict_proba on X_test
  19651. 2022-02-07 12:52:58,513:INFO:Visual Rendered Successfully
  19652. 2022-02-07 12:52:58,662:INFO:plot_model() succesfully completed......................................
  19653. 2022-02-07 12:53:03,460:INFO:Initializing plot_model()
  19654. 2022-02-07 12:53:03,460:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19655. colsample_bynode=1, colsample_bytree=0.6,
  19656. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19657. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19658. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19659. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19660. num_parallel_tree=1, objective='binary:logistic',
  19661. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19662. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19663. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  19664. 2022-02-07 12:53:03,460:INFO:Checking exceptions
  19665. 2022-02-07 12:53:03,463:INFO:Preparing display monitor
  19666. 2022-02-07 12:53:03,468:INFO:Preloading libraries
  19667. 2022-02-07 12:53:03,764:INFO:Copying training dataset
  19668. 2022-02-07 12:53:03,765:INFO:Copying test dataset
  19669. 2022-02-07 12:53:03,766:INFO:Plot type: gain
  19670. 2022-02-07 12:53:03,772:INFO:Generating predictions / predict_proba on X_test
  19671. 2022-02-07 12:53:04,096:INFO:Visual Rendered Successfully
  19672. 2022-02-07 12:53:04,241:INFO:plot_model() succesfully completed......................................
  19673. 2022-02-07 12:53:06,997:INFO:Initializing plot_model()
  19674. 2022-02-07 12:53:06,997:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19675. colsample_bynode=1, colsample_bytree=0.6,
  19676. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19677. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19678. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19679. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19680. num_parallel_tree=1, objective='binary:logistic',
  19681. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19682. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19683. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  19684. 2022-02-07 12:53:06,997:INFO:Checking exceptions
  19685. 2022-02-07 12:53:07,001:INFO:Preparing display monitor
  19686. 2022-02-07 12:53:07,004:INFO:Preloading libraries
  19687. 2022-02-07 12:53:07,294:INFO:Copying training dataset
  19688. 2022-02-07 12:53:07,295:INFO:Copying test dataset
  19689. 2022-02-07 12:53:07,296:INFO:Plot type: feature_all
  19690. 2022-02-07 12:53:07,303:WARNING:No coef_ found. Trying feature_importances_
  19691. 2022-02-07 12:53:07,328:INFO:Visual Rendered Successfully
  19692. 2022-02-07 12:53:07,461:INFO:plot_model() succesfully completed......................................
  19693. 2022-02-07 12:53:19,722:INFO:Initializing evaluate_model()
  19694. 2022-02-07 12:53:19,722:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19695. colsample_bynode=1, colsample_bytree=0.6,
  19696. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19697. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19698. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19699. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19700. num_parallel_tree=1, objective='binary:logistic',
  19701. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19702. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19703. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  19704. 2022-02-07 12:53:19,735:INFO:Initializing plot_model()
  19705. 2022-02-07 12:53:19,735:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19706. colsample_bynode=1, colsample_bytree=0.6,
  19707. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19708. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19709. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19710. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19711. num_parallel_tree=1, objective='binary:logistic',
  19712. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19713. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19714. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19715. 2022-02-07 12:53:19,735:INFO:Checking exceptions
  19716. 2022-02-07 12:53:19,738:INFO:Preparing display monitor
  19717. 2022-02-07 12:53:19,742:INFO:Preloading libraries
  19718. 2022-02-07 12:53:20,044:INFO:Copying training dataset
  19719. 2022-02-07 12:53:20,045:INFO:Copying test dataset
  19720. 2022-02-07 12:53:20,046:INFO:Plot type: parameter
  19721. 2022-02-07 12:53:20,057:INFO:Visual Rendered Successfully
  19722. 2022-02-07 12:53:20,192:INFO:plot_model() succesfully completed......................................
  19723. 2022-02-07 12:53:22,104:INFO:Initializing plot_model()
  19724. 2022-02-07 12:53:22,104:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19725. colsample_bynode=1, colsample_bytree=0.6,
  19726. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19727. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19728. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19729. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19730. num_parallel_tree=1, objective='binary:logistic',
  19731. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19732. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19733. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  19734. 2022-02-07 12:53:22,104:INFO:Checking exceptions
  19735. 2022-02-07 12:53:22,108:INFO:Preparing display monitor
  19736. 2022-02-07 12:53:22,111:INFO:Preloading libraries
  19737. 2022-02-07 12:53:22,402:INFO:Copying training dataset
  19738. 2022-02-07 12:53:22,403:INFO:Copying test dataset
  19739. 2022-02-07 12:53:22,403:INFO:Plot type: lift
  19740. 2022-02-07 12:53:22,410:INFO:Generating predictions / predict_proba on X_test
  19741. 2022-02-07 12:53:22,738:INFO:Visual Rendered Successfully
  19742. 2022-02-07 12:53:22,880:INFO:plot_model() succesfully completed......................................
  19743. 2022-02-07 12:53:24,534:INFO:Initializing plot_model()
  19744. 2022-02-07 12:53:24,534:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19745. colsample_bynode=1, colsample_bytree=0.6,
  19746. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19747. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19748. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19749. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19750. num_parallel_tree=1, objective='binary:logistic',
  19751. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19752. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19753. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19754. 2022-02-07 12:53:24,534:INFO:Checking exceptions
  19755. 2022-02-07 12:53:24,537:INFO:Preparing display monitor
  19756. 2022-02-07 12:53:24,541:INFO:Preloading libraries
  19757. 2022-02-07 12:53:24,832:INFO:Copying training dataset
  19758. 2022-02-07 12:53:24,833:INFO:Copying test dataset
  19759. 2022-02-07 12:53:24,834:INFO:Plot type: parameter
  19760. 2022-02-07 12:53:24,845:INFO:Visual Rendered Successfully
  19761. 2022-02-07 12:53:24,972:INFO:plot_model() succesfully completed......................................
  19762. 2022-02-07 12:53:27,064:INFO:Initializing plot_model()
  19763. 2022-02-07 12:53:27,064:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19764. colsample_bynode=1, colsample_bytree=0.6,
  19765. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19766. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19767. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19768. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19769. num_parallel_tree=1, objective='binary:logistic',
  19770. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19771. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19772. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  19773. 2022-02-07 12:53:27,064:INFO:Checking exceptions
  19774. 2022-02-07 12:53:27,068:INFO:Preparing display monitor
  19775. 2022-02-07 12:53:27,071:INFO:Preloading libraries
  19776. 2022-02-07 12:53:27,355:INFO:Copying training dataset
  19777. 2022-02-07 12:53:27,356:INFO:Copying test dataset
  19778. 2022-02-07 12:53:27,357:INFO:Plot type: confusion_matrix
  19779. 2022-02-07 12:53:27,364:INFO:Initializing get_config()
  19780. 2022-02-07 12:53:27,364:INFO:get_config(variable=prep_pipe)
  19781. 2022-02-07 12:53:27,367:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19782. steps=[('dtypes',
  19783. DataTypes_Auto_infer(categorical_features=[],
  19784. display_types=True, features_todrop=[],
  19785. id_columns=[],
  19786. ml_usecase='classification',
  19787. numerical_features=[], target='label',
  19788. time_features=[])),
  19789. ('imputer',
  19790. Simple_Imputer(categorical_strategy='not_available',
  19791. fill_value_categorical=None,
  19792. fill_value_numerical=None,
  19793. numeric_strate...
  19794. target='label')),
  19795. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19796. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19797. ('dummy', Dummify(target='label')),
  19798. ('fix_perfect', Remove_100(target='label')),
  19799. ('clean_names', Clean_Colum_Names()),
  19800. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19801. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19802. verbose=False)
  19803. 2022-02-07 12:53:27,367:INFO:get_config() succesfully completed......................................
  19804. 2022-02-07 12:53:27,375:INFO:Fitting Model
  19805. 2022-02-07 12:53:27,376:INFO:Scoring test/hold-out set
  19806. 2022-02-07 12:53:27,495:INFO:Visual Rendered Successfully
  19807. 2022-02-07 12:53:27,627:INFO:plot_model() succesfully completed......................................
  19808. 2022-02-07 12:53:36,704:INFO:Initializing interpret_model()
  19809. 2022-02-07 12:53:36,704:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19810. colsample_bynode=1, colsample_bytree=0.6,
  19811. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19812. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19813. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19814. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19815. num_parallel_tree=1, objective='binary:logistic',
  19816. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19817. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19818. use_label_encoder=True, validate_parameters=1, ...), use_train_data=False, X_new_sample=None, y_new_sample=None, feature=None, kwargs={}, observation=None, plot=summary, save=False)
  19819. 2022-02-07 12:53:36,704:INFO:Checking exceptions
  19820. 2022-02-07 12:53:36,704:INFO:plot type: summary
  19821. 2022-02-07 12:53:36,704:INFO:Creating TreeExplainer
  19822. 2022-02-07 12:53:38,057:INFO:Compiling shap values
  19823. 2022-02-07 12:53:39,525:INFO:Visual Rendered Successfully
  19824. 2022-02-07 12:53:39,525:INFO:interpret_model() succesfully completed......................................
  19825. 2022-02-07 12:53:49,150:INFO:Initializing interpret_model()
  19826. 2022-02-07 12:53:49,150:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19827. colsample_bynode=1, colsample_bytree=0.6,
  19828. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19829. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19830. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19831. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19832. num_parallel_tree=1, objective='binary:logistic',
  19833. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19834. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19835. use_label_encoder=True, validate_parameters=1, ...), use_train_data=False, X_new_sample=None, y_new_sample=None, feature=None, kwargs={}, observation=None, plot=summary, save=False)
  19836. 2022-02-07 12:53:49,150:INFO:Checking exceptions
  19837. 2022-02-07 12:53:49,150:INFO:plot type: summary
  19838. 2022-02-07 12:53:49,150:INFO:Creating TreeExplainer
  19839. 2022-02-07 12:53:50,482:INFO:Compiling shap values
  19840. 2022-02-07 12:53:51,834:INFO:Visual Rendered Successfully
  19841. 2022-02-07 12:53:51,834:INFO:interpret_model() succesfully completed......................................
  19842. 2022-02-07 12:54:04,494:INFO:Initializing plot_model()
  19843. 2022-02-07 12:54:04,494:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19844. colsample_bynode=1, colsample_bytree=0.6,
  19845. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19846. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19847. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19848. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19849. num_parallel_tree=1, objective='binary:logistic',
  19850. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19851. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19852. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19853. 2022-02-07 12:54:04,494:INFO:Checking exceptions
  19854. 2022-02-07 12:54:04,498:INFO:Preparing display monitor
  19855. 2022-02-07 12:54:04,502:INFO:Preloading libraries
  19856. 2022-02-07 12:54:04,841:INFO:Copying training dataset
  19857. 2022-02-07 12:54:04,842:INFO:Copying test dataset
  19858. 2022-02-07 12:54:04,843:INFO:Plot type: parameter
  19859. 2022-02-07 12:54:04,855:INFO:Visual Rendered Successfully
  19860. 2022-02-07 12:54:05,002:INFO:plot_model() succesfully completed......................................
  19861. 2022-02-07 12:54:06,693:INFO:Initializing plot_model()
  19862. 2022-02-07 12:54:06,693:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19863. colsample_bynode=1, colsample_bytree=0.6,
  19864. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19865. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19866. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19867. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19868. num_parallel_tree=1, objective='binary:logistic',
  19869. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19870. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19871. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  19872. 2022-02-07 12:54:06,693:INFO:Checking exceptions
  19873. 2022-02-07 12:54:06,696:INFO:Preparing display monitor
  19874. 2022-02-07 12:54:06,700:INFO:Preloading libraries
  19875. 2022-02-07 12:54:06,990:INFO:Copying training dataset
  19876. 2022-02-07 12:54:06,991:INFO:Copying test dataset
  19877. 2022-02-07 12:54:06,992:INFO:Plot type: auc
  19878. 2022-02-07 12:54:06,999:INFO:Initializing get_config()
  19879. 2022-02-07 12:54:06,999:INFO:get_config(variable=prep_pipe)
  19880. 2022-02-07 12:54:07,002:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19881. steps=[('dtypes',
  19882. DataTypes_Auto_infer(categorical_features=[],
  19883. display_types=True, features_todrop=[],
  19884. id_columns=[],
  19885. ml_usecase='classification',
  19886. numerical_features=[], target='label',
  19887. time_features=[])),
  19888. ('imputer',
  19889. Simple_Imputer(categorical_strategy='not_available',
  19890. fill_value_categorical=None,
  19891. fill_value_numerical=None,
  19892. numeric_strate...
  19893. target='label')),
  19894. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19895. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19896. ('dummy', Dummify(target='label')),
  19897. ('fix_perfect', Remove_100(target='label')),
  19898. ('clean_names', Clean_Colum_Names()),
  19899. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19900. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19901. verbose=False)
  19902. 2022-02-07 12:54:07,002:INFO:get_config() succesfully completed......................................
  19903. 2022-02-07 12:54:07,010:INFO:Fitting Model
  19904. 2022-02-07 12:54:07,012:INFO:Scoring test/hold-out set
  19905. 2022-02-07 12:54:07,069:INFO:Visual Rendered Successfully
  19906. 2022-02-07 12:54:07,218:INFO:plot_model() succesfully completed......................................
  19907. 2022-02-07 12:54:24,937:INFO:Initializing plot_model()
  19908. 2022-02-07 12:54:24,937:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19909. colsample_bynode=1, colsample_bytree=0.6,
  19910. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19911. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19912. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19913. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19914. num_parallel_tree=1, objective='binary:logistic',
  19915. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19916. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19917. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  19918. 2022-02-07 12:54:24,937:INFO:Checking exceptions
  19919. 2022-02-07 12:54:24,941:INFO:Preparing display monitor
  19920. 2022-02-07 12:54:24,944:INFO:Preloading libraries
  19921. 2022-02-07 12:54:25,236:INFO:Copying training dataset
  19922. 2022-02-07 12:54:25,237:INFO:Copying test dataset
  19923. 2022-02-07 12:54:25,238:INFO:Plot type: confusion_matrix
  19924. 2022-02-07 12:54:25,245:INFO:Initializing get_config()
  19925. 2022-02-07 12:54:25,245:INFO:get_config(variable=prep_pipe)
  19926. 2022-02-07 12:54:25,248:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19927. steps=[('dtypes',
  19928. DataTypes_Auto_infer(categorical_features=[],
  19929. display_types=True, features_todrop=[],
  19930. id_columns=[],
  19931. ml_usecase='classification',
  19932. numerical_features=[], target='label',
  19933. time_features=[])),
  19934. ('imputer',
  19935. Simple_Imputer(categorical_strategy='not_available',
  19936. fill_value_categorical=None,
  19937. fill_value_numerical=None,
  19938. numeric_strate...
  19939. target='label')),
  19940. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19941. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19942. ('dummy', Dummify(target='label')),
  19943. ('fix_perfect', Remove_100(target='label')),
  19944. ('clean_names', Clean_Colum_Names()),
  19945. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19946. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19947. verbose=False)
  19948. 2022-02-07 12:54:25,249:INFO:get_config() succesfully completed......................................
  19949. 2022-02-07 12:54:25,256:INFO:Fitting Model
  19950. 2022-02-07 12:54:25,257:INFO:Scoring test/hold-out set
  19951. 2022-02-07 12:54:25,363:INFO:Visual Rendered Successfully
  19952. 2022-02-07 12:54:25,488:INFO:plot_model() succesfully completed......................................
  19953. 2022-02-07 12:54:40,456:INFO:Initializing get_config()
  19954. 2022-02-07 12:54:40,456:INFO:get_config(variable=prep_pipe)
  19955. 2022-02-07 12:54:40,460:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19956. steps=[('dtypes',
  19957. DataTypes_Auto_infer(categorical_features=[],
  19958. display_types=True, features_todrop=[],
  19959. id_columns=[],
  19960. ml_usecase='classification',
  19961. numerical_features=[], target='label',
  19962. time_features=[])),
  19963. ('imputer',
  19964. Simple_Imputer(categorical_strategy='not_available',
  19965. fill_value_categorical=None,
  19966. fill_value_numerical=None,
  19967. numeric_strate...
  19968. target='label')),
  19969. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19970. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19971. ('dummy', Dummify(target='label')),
  19972. ('fix_perfect', Remove_100(target='label')),
  19973. ('clean_names', Clean_Colum_Names()),
  19974. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19975. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19976. verbose=False)
  19977. 2022-02-07 12:54:40,460:INFO:get_config() succesfully completed......................................
  19978. 2022-02-07 12:55:49,610:INFO:Initializing save_model()
  19979. 2022-02-07 12:55:49,610:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19980. colsample_bynode=1, colsample_bytree=0.6,
  19981. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19982. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19983. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19984. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19985. num_parallel_tree=1, objective='binary:logistic',
  19986. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19987. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19988. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
  19989. steps=[('dtypes',
  19990. DataTypes_Auto_infer(categorical_features=[],
  19991. display_types=True, features_todrop=[],
  19992. id_columns=[],
  19993. ml_usecase='classification',
  19994. numerical_features=[], target='label',
  19995. time_features=[])),
  19996. ('imputer',
  19997. Simple_Imputer(categorical_strategy='not_available',
  19998. fill_value_categorical=None,
  19999. fill_value_numerical=None,
  20000. numeric_strate...
  20001. target='label')),
  20002. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20003. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20004. ('dummy', Dummify(target='label')),
  20005. ('fix_perfect', Remove_100(target='label')),
  20006. ('clean_names', Clean_Colum_Names()),
  20007. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20008. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20009. verbose=False), verbose=True, kwargs={})
  20010. 2022-02-07 12:55:49,611:INFO:Adding model into prep_pipe
  20011. 2022-02-07 12:55:49,808:INFO:tuned_xgboost_0207.pkl saved in current working directory
  20012. 2022-02-07 12:55:49,816:INFO:Pipeline(memory=None,
  20013. steps=[('dtypes',
  20014. DataTypes_Auto_infer(categorical_features=[],
  20015. display_types=True, features_todrop=[],
  20016. id_columns=[],
  20017. ml_usecase='classification',
  20018. numerical_features=[], target='label',
  20019. time_features=[])),
  20020. ('imputer',
  20021. Simple_Imputer(categorical_strategy='not_available',
  20022. fill_value_categorical=None,
  20023. fill_value_numerical=None,
  20024. numeric_strate...
  20025. max_delta_step=0, max_depth=64, max_leaves=1024,
  20026. min_child_weight=1, missing=nan,
  20027. monotone_constraints='()', n_estimators=100,
  20028. n_jobs=-1, num_parallel_tree=1,
  20029. objective='binary:logistic', predictor='auto',
  20030. random_state=1504, reg_alpha=0, reg_lambda=1,
  20031. scale_pos_weight=1, subsample=1,
  20032. tree_method='gpu_hist', use_label_encoder=True,
  20033. validate_parameters=1, ...)]],
  20034. verbose=False)
  20035. 2022-02-07 12:55:49,816:INFO:save_model() successfully completed......................................
  20036. 2022-02-07 12:58:52,123:INFO:Initializing load_model()
  20037. 2022-02-07 12:58:52,123:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20038. 2022-02-07 12:59:17,131:INFO:Initializing evaluate_model()
  20039. 2022-02-07 12:59:17,131:INFO:evaluate_model(estimator=Pipeline(steps=[('dtypes',
  20040. DataTypes_Auto_infer(ml_usecase='classification',
  20041. target='label')),
  20042. ('imputer',
  20043. Simple_Imputer(categorical_strategy='not_available',
  20044. fill_value_categorical=None,
  20045. fill_value_numerical=None,
  20046. numeric_strategy='mean',
  20047. target_variable=None)),
  20048. ('new_levels1',
  20049. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  20050. 'frequent',
  20051. targe...
  20052. gamma=0, gpu_id=0, importance_type=None,
  20053. interaction_constraints='', learning_rate=0.05,
  20054. max_delta_step=0, max_depth=64, max_leaves=1024,
  20055. min_child_weight=1, missing=nan,
  20056. monotone_constraints='()', n_estimators=100,
  20057. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  20058. random_state=1504, reg_alpha=0, reg_lambda=1,
  20059. scale_pos_weight=1, subsample=1,
  20060. tree_method='gpu_hist', validate_parameters=1,
  20061. verbosity=0)]]), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  20062. 2022-02-07 13:00:03,866:INFO:PyCaret Supervised Module
  20063. 2022-02-07 13:00:03,866:INFO:ML Usecase: classification
  20064. 2022-02-07 13:00:03,866:INFO:version 2.3.6
  20065. 2022-02-07 13:00:03,866:INFO:Initializing setup()
  20066. 2022-02-07 13:00:03,866:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  20067. 2022-02-07 13:00:03,866:INFO:Checking environment
  20068. 2022-02-07 13:00:03,866:INFO:python_version: 3.8.12
  20069. 2022-02-07 13:00:03,866:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  20070. 2022-02-07 13:00:03,866:INFO:machine: AMD64
  20071. 2022-02-07 13:00:03,866:INFO:platform: Windows-10-10.0.22000-SP0
  20072. 2022-02-07 13:00:03,866:INFO:Memory: svmem(total=68629372928, available=52282277888, percent=23.8, used=16347095040, free=52282277888)
  20073. 2022-02-07 13:00:03,867:INFO:Physical Core: 16
  20074. 2022-02-07 13:00:03,867:INFO:Logical Core: 32
  20075. 2022-02-07 13:00:03,867:INFO:Checking libraries
  20076. 2022-02-07 13:00:03,867:INFO:pd==1.3.5
  20077. 2022-02-07 13:00:03,867:INFO:numpy==1.21.5
  20078. 2022-02-07 13:00:03,867:INFO:sklearn==0.23.2
  20079. 2022-02-07 13:00:03,867:INFO:lightgbm==3.3.2
  20080. 2022-02-07 13:00:04,056:INFO:catboost==1.0.4
  20081. 2022-02-07 13:00:04,056:INFO:xgboost==1.5.2
  20082. 2022-02-07 13:00:04,667:INFO:mlflow==1.23.1
  20083. 2022-02-07 13:00:04,667:INFO:Checking Exceptions
  20084. 2022-02-07 13:00:04,667:INFO:Declaring global variables
  20085. 2022-02-07 13:00:04,667:INFO:USI: dde2
  20086. 2022-02-07 13:00:04,667:INFO:pycaret_globals: {'n_jobs_param', '_gpu_n_jobs_param', 'data_before_preprocess', 'stratify_param', 'fold_param', 'X_test', 'seed', '_all_models', 'X_train', 'create_model_container', '_all_models_internal', 'imputation_regressor', 'log_plots_param', 'USI', '_ml_usecase', 'experiment__', 'imputation_classifier', '_available_plots', 'fix_imbalance_param', '_all_metrics', 'master_model_container', 'html_param', 'iterative_imputation_iters_param', 'y_test', 'y', '_internal_pipeline', 'fold_generator', 'fold_shuffle_param', 'logging_param', 'fix_imbalance_method_param', 'fold_groups_param_full', 'transform_target_param', 'prep_pipe', 'exp_name_log', 'gpu_param', 'fold_groups_param', 'X', 'pycaret_globals', 'y_train', 'target_param', 'transform_target_method_param', 'display_container'}
  20087. 2022-02-07 13:00:04,667:INFO:Preparing display monitor
  20088. 2022-02-07 13:00:04,667:INFO:Preparing display monitor
  20089. 2022-02-07 13:00:04,677:INFO:Importing libraries
  20090. 2022-02-07 13:00:04,677:INFO:Copying data for preprocessing
  20091. 2022-02-07 13:00:04,682:INFO:Declaring preprocessing parameters
  20092. 2022-02-07 13:00:04,683:WARNING:cuML not found
  20093. 2022-02-07 13:00:04,683:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  20094. 2022-02-07 13:00:04,686:INFO:Creating preprocessing pipeline
  20095. 2022-02-07 13:00:04,741:INFO:Preprocessing pipeline created successfully
  20096. 2022-02-07 13:00:04,741:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  20097. 2022-02-07 13:00:04,741:INFO:Creating global containers
  20098. 2022-02-07 13:00:04,741:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  20099. 2022-02-07 13:00:06,883:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20100. 2022-02-07 13:00:06,919:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20101. 2022-02-07 13:00:06,921:WARNING:Couldn't import cuml.MBSGDClassifier
  20102. 2022-02-07 13:00:06,922:WARNING:Couldn't import cuml.svm.SVC
  20103. 2022-02-07 13:00:06,941:WARNING:Couldn't import cuml.linear_model
  20104. 2022-02-07 13:00:06,945:WARNING:Couldn't import cuml.ensemble
  20105. 2022-02-07 13:00:07,301:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20106. 2022-02-07 13:00:07,362:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20107. 2022-02-07 13:00:07,363:WARNING:Couldn't import cuml.MBSGDClassifier
  20108. 2022-02-07 13:00:07,364:WARNING:Couldn't import cuml.svm.SVC
  20109. 2022-02-07 13:00:07,395:WARNING:Couldn't import cuml.linear_model
  20110. 2022-02-07 13:00:07,402:WARNING:Couldn't import cuml.ensemble
  20111. 2022-02-07 13:00:07,536:INFO:Creating grid variables
  20112. 2022-02-07 13:00:07,550:INFO:create_model_container: 0
  20113. 2022-02-07 13:00:07,551:INFO:master_model_container: 0
  20114. 2022-02-07 13:00:07,551:INFO:display_container: 1
  20115. 2022-02-07 13:00:07,557:INFO:Pipeline(memory=None,
  20116. steps=[('dtypes',
  20117. DataTypes_Auto_infer(categorical_features=[],
  20118. display_types=True, features_todrop=[],
  20119. id_columns=[],
  20120. ml_usecase='classification',
  20121. numerical_features=[], target='label',
  20122. time_features=[])),
  20123. ('imputer',
  20124. Simple_Imputer(categorical_strategy='not_available',
  20125. fill_value_categorical=None,
  20126. fill_value_numerical=None,
  20127. numeric_strate...
  20128. target='label')),
  20129. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20130. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20131. ('dummy', Dummify(target='label')),
  20132. ('fix_perfect', Remove_100(target='label')),
  20133. ('clean_names', Clean_Colum_Names()),
  20134. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20135. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20136. verbose=False)
  20137. 2022-02-07 13:00:07,557:INFO:setup() succesfully completed......................................
  20138. 2022-02-07 13:00:12,038:INFO:Initializing load_model()
  20139. 2022-02-07 13:00:12,038:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20140. 2022-02-07 13:00:15,388:INFO:Initializing evaluate_model()
  20141. 2022-02-07 13:00:15,388:INFO:evaluate_model(estimator=Pipeline(memory=None,
  20142. steps=[('dtypes',
  20143. DataTypes_Auto_infer(categorical_features=[],
  20144. display_types=True, features_todrop=[],
  20145. id_columns=[],
  20146. ml_usecase='classification',
  20147. numerical_features=[], target='label',
  20148. time_features=[])),
  20149. ('imputer',
  20150. Simple_Imputer(categorical_strategy='not_available',
  20151. fill_value_categorical=None,
  20152. fill_value_numerical=None,
  20153. numeric_strate...
  20154. max_delta_step=0, max_depth=64, max_leaves=1024,
  20155. min_child_weight=1, missing=nan,
  20156. monotone_constraints='()', n_estimators=100,
  20157. n_jobs=-1, num_parallel_tree=1,
  20158. objective='binary:logistic', predictor='auto',
  20159. random_state=1504, reg_alpha=0, reg_lambda=1,
  20160. scale_pos_weight=1, subsample=1,
  20161. tree_method='gpu_hist', use_label_encoder=True,
  20162. validate_parameters=1, ...)]],
  20163. verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  20164. 2022-02-07 13:00:15,408:INFO:Initializing plot_model()
  20165. 2022-02-07 13:00:15,408:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  20166. steps=[('dtypes',
  20167. DataTypes_Auto_infer(categorical_features=[],
  20168. display_types=True, features_todrop=[],
  20169. id_columns=[],
  20170. ml_usecase='classification',
  20171. numerical_features=[], target='label',
  20172. time_features=[])),
  20173. ('imputer',
  20174. Simple_Imputer(categorical_strategy='not_available',
  20175. fill_value_categorical=None,
  20176. fill_value_numerical=None,
  20177. numeric_strate...
  20178. max_delta_step=0, max_depth=64, max_leaves=1024,
  20179. min_child_weight=1, missing=nan,
  20180. monotone_constraints='()', n_estimators=100,
  20181. n_jobs=-1, num_parallel_tree=1,
  20182. objective='binary:logistic', predictor='auto',
  20183. random_state=1504, reg_alpha=0, reg_lambda=1,
  20184. scale_pos_weight=1, subsample=1,
  20185. tree_method='gpu_hist', use_label_encoder=True,
  20186. validate_parameters=1, ...)]],
  20187. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  20188. 2022-02-07 13:00:15,408:INFO:Checking exceptions
  20189. 2022-02-07 13:00:15,409:INFO:Preparing display monitor
  20190. 2022-02-07 13:00:15,413:INFO:Preloading libraries
  20191. 2022-02-07 13:00:15,735:INFO:Copying training dataset
  20192. 2022-02-07 13:00:15,736:INFO:Copying test dataset
  20193. 2022-02-07 13:00:15,737:INFO:Plot type: parameter
  20194. 2022-02-07 13:00:15,743:INFO:Visual Rendered Successfully
  20195. 2022-02-07 13:00:15,869:INFO:plot_model() succesfully completed......................................
  20196. 2022-02-07 13:00:20,027:INFO:Initializing plot_model()
  20197. 2022-02-07 13:00:20,027:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  20198. steps=[('dtypes',
  20199. DataTypes_Auto_infer(categorical_features=[],
  20200. display_types=True, features_todrop=[],
  20201. id_columns=[],
  20202. ml_usecase='classification',
  20203. numerical_features=[], target='label',
  20204. time_features=[])),
  20205. ('imputer',
  20206. Simple_Imputer(categorical_strategy='not_available',
  20207. fill_value_categorical=None,
  20208. fill_value_numerical=None,
  20209. numeric_strate...
  20210. max_delta_step=0, max_depth=64, max_leaves=1024,
  20211. min_child_weight=1, missing=nan,
  20212. monotone_constraints='()', n_estimators=100,
  20213. n_jobs=-1, num_parallel_tree=1,
  20214. objective='binary:logistic', predictor='auto',
  20215. random_state=1504, reg_alpha=0, reg_lambda=1,
  20216. scale_pos_weight=1, subsample=1,
  20217. tree_method='gpu_hist', use_label_encoder=True,
  20218. validate_parameters=1, ...)]],
  20219. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  20220. 2022-02-07 13:00:20,027:INFO:Checking exceptions
  20221. 2022-02-07 13:00:20,028:INFO:Preparing display monitor
  20222. 2022-02-07 13:00:20,032:INFO:Preloading libraries
  20223. 2022-02-07 13:00:20,345:INFO:Copying training dataset
  20224. 2022-02-07 13:00:20,347:INFO:Copying test dataset
  20225. 2022-02-07 13:00:20,347:INFO:Plot type: auc
  20226. 2022-02-07 13:00:20,349:INFO:Initializing get_config()
  20227. 2022-02-07 13:00:20,349:INFO:get_config(variable=prep_pipe)
  20228. 2022-02-07 13:00:20,353:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20229. steps=[('dtypes',
  20230. DataTypes_Auto_infer(categorical_features=[],
  20231. display_types=True, features_todrop=[],
  20232. id_columns=[],
  20233. ml_usecase='classification',
  20234. numerical_features=[], target='label',
  20235. time_features=[])),
  20236. ('imputer',
  20237. Simple_Imputer(categorical_strategy='not_available',
  20238. fill_value_categorical=None,
  20239. fill_value_numerical=None,
  20240. numeric_strate...
  20241. target='label')),
  20242. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20243. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20244. ('dummy', Dummify(target='label')),
  20245. ('fix_perfect', Remove_100(target='label')),
  20246. ('clean_names', Clean_Colum_Names()),
  20247. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20248. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20249. verbose=False)
  20250. 2022-02-07 13:00:20,353:INFO:get_config() succesfully completed......................................
  20251. 2022-02-07 13:00:20,365:INFO:Fitting Model
  20252. 2022-02-07 13:01:30,029:INFO:PyCaret Supervised Module
  20253. 2022-02-07 13:01:30,029:INFO:ML Usecase: classification
  20254. 2022-02-07 13:01:30,029:INFO:version 2.3.6
  20255. 2022-02-07 13:01:30,029:INFO:Initializing setup()
  20256. 2022-02-07 13:01:30,029:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  20257. 2022-02-07 13:01:30,029:INFO:Checking environment
  20258. 2022-02-07 13:01:30,029:INFO:python_version: 3.8.12
  20259. 2022-02-07 13:01:30,029:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  20260. 2022-02-07 13:01:30,029:INFO:machine: AMD64
  20261. 2022-02-07 13:01:30,029:INFO:platform: Windows-10-10.0.22000-SP0
  20262. 2022-02-07 13:01:30,029:INFO:Memory: svmem(total=68629372928, available=52333809664, percent=23.7, used=16295563264, free=52333809664)
  20263. 2022-02-07 13:01:30,029:INFO:Physical Core: 16
  20264. 2022-02-07 13:01:30,030:INFO:Logical Core: 32
  20265. 2022-02-07 13:01:30,030:INFO:Checking libraries
  20266. 2022-02-07 13:01:30,030:INFO:pd==1.3.5
  20267. 2022-02-07 13:01:30,030:INFO:numpy==1.21.5
  20268. 2022-02-07 13:01:30,030:INFO:sklearn==0.23.2
  20269. 2022-02-07 13:01:30,030:INFO:lightgbm==3.3.2
  20270. 2022-02-07 13:01:30,040:INFO:catboost==1.0.4
  20271. 2022-02-07 13:01:30,131:INFO:xgboost==1.5.2
  20272. 2022-02-07 13:01:30,408:INFO:mlflow==1.23.1
  20273. 2022-02-07 13:01:30,408:INFO:Checking Exceptions
  20274. 2022-02-07 13:01:30,408:INFO:Declaring global variables
  20275. 2022-02-07 13:01:30,408:INFO:USI: 6390
  20276. 2022-02-07 13:01:30,408:INFO:pycaret_globals: {'exp_name_log', 'experiment__', 'imputation_regressor', 'iterative_imputation_iters_param', 'create_model_container', 'data_before_preprocess', '_all_models', 'display_container', '_internal_pipeline', 'imputation_classifier', 'seed', 'y', 'master_model_container', 'USI', 'fold_groups_param', '_all_models_internal', 'html_param', 'X_train', '_available_plots', '_ml_usecase', 'log_plots_param', '_all_metrics', 'n_jobs_param', 'fold_groups_param_full', 'fold_param', '_gpu_n_jobs_param', 'y_train', 'X_test', 'fold_generator', 'transform_target_method_param', 'gpu_param', 'y_test', 'fix_imbalance_method_param', 'stratify_param', 'prep_pipe', 'logging_param', 'transform_target_param', 'fold_shuffle_param', 'fix_imbalance_param', 'target_param', 'X', 'pycaret_globals'}
  20277. 2022-02-07 13:01:30,408:INFO:Preparing display monitor
  20278. 2022-02-07 13:01:30,408:INFO:Preparing display monitor
  20279. 2022-02-07 13:01:30,418:INFO:Importing libraries
  20280. 2022-02-07 13:01:30,418:INFO:Copying data for preprocessing
  20281. 2022-02-07 13:01:30,423:INFO:Declaring preprocessing parameters
  20282. 2022-02-07 13:01:30,424:WARNING:cuML not found
  20283. 2022-02-07 13:01:30,424:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  20284. 2022-02-07 13:01:30,427:INFO:Creating preprocessing pipeline
  20285. 2022-02-07 13:01:30,478:INFO:Preprocessing pipeline created successfully
  20286. 2022-02-07 13:01:30,479:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  20287. 2022-02-07 13:01:30,479:INFO:Creating global containers
  20288. 2022-02-07 13:01:30,481:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  20289. 2022-02-07 13:01:31,676:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20290. 2022-02-07 13:01:31,710:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20291. 2022-02-07 13:01:31,712:WARNING:Couldn't import cuml.MBSGDClassifier
  20292. 2022-02-07 13:01:31,712:WARNING:Couldn't import cuml.svm.SVC
  20293. 2022-02-07 13:01:31,732:WARNING:Couldn't import cuml.linear_model
  20294. 2022-02-07 13:01:31,736:WARNING:Couldn't import cuml.ensemble
  20295. 2022-02-07 13:01:31,901:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20296. 2022-02-07 13:01:31,962:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20297. 2022-02-07 13:01:31,963:WARNING:Couldn't import cuml.MBSGDClassifier
  20298. 2022-02-07 13:01:31,964:WARNING:Couldn't import cuml.svm.SVC
  20299. 2022-02-07 13:01:31,994:WARNING:Couldn't import cuml.linear_model
  20300. 2022-02-07 13:01:32,000:WARNING:Couldn't import cuml.ensemble
  20301. 2022-02-07 13:01:32,124:INFO:Creating grid variables
  20302. 2022-02-07 13:01:32,138:INFO:create_model_container: 0
  20303. 2022-02-07 13:01:32,138:INFO:master_model_container: 0
  20304. 2022-02-07 13:01:32,138:INFO:display_container: 1
  20305. 2022-02-07 13:01:32,144:INFO:Pipeline(memory=None,
  20306. steps=[('dtypes',
  20307. DataTypes_Auto_infer(categorical_features=[],
  20308. display_types=True, features_todrop=[],
  20309. id_columns=[],
  20310. ml_usecase='classification',
  20311. numerical_features=[], target='label',
  20312. time_features=[])),
  20313. ('imputer',
  20314. Simple_Imputer(categorical_strategy='not_available',
  20315. fill_value_categorical=None,
  20316. fill_value_numerical=None,
  20317. numeric_strate...
  20318. target='label')),
  20319. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20320. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20321. ('dummy', Dummify(target='label')),
  20322. ('fix_perfect', Remove_100(target='label')),
  20323. ('clean_names', Clean_Colum_Names()),
  20324. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20325. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20326. verbose=False)
  20327. 2022-02-07 13:01:32,144:INFO:setup() succesfully completed......................................
  20328. 2022-02-07 13:01:34,273:INFO:Initializing load_model()
  20329. 2022-02-07 13:01:34,273:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20330. 2022-02-07 13:01:37,451:INFO:Initializing evaluate_model()
  20331. 2022-02-07 13:01:37,451:INFO:evaluate_model(estimator=Pipeline(memory=None,
  20332. steps=[('dtypes',
  20333. DataTypes_Auto_infer(categorical_features=[],
  20334. display_types=True, features_todrop=[],
  20335. id_columns=[],
  20336. ml_usecase='classification',
  20337. numerical_features=[], target='label',
  20338. time_features=[])),
  20339. ('imputer',
  20340. Simple_Imputer(categorical_strategy='not_available',
  20341. fill_value_categorical=None,
  20342. fill_value_numerical=None,
  20343. numeric_strate...
  20344. max_delta_step=0, max_depth=64, max_leaves=1024,
  20345. min_child_weight=1, missing=nan,
  20346. monotone_constraints='()', n_estimators=100,
  20347. n_jobs=-1, num_parallel_tree=1,
  20348. objective='binary:logistic', predictor='auto',
  20349. random_state=1504, reg_alpha=0, reg_lambda=1,
  20350. scale_pos_weight=1, subsample=1,
  20351. tree_method='gpu_hist', use_label_encoder=True,
  20352. validate_parameters=1, ...)]],
  20353. verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  20354. 2022-02-07 13:01:37,471:INFO:Initializing plot_model()
  20355. 2022-02-07 13:01:37,471:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  20356. steps=[('dtypes',
  20357. DataTypes_Auto_infer(categorical_features=[],
  20358. display_types=True, features_todrop=[],
  20359. id_columns=[],
  20360. ml_usecase='classification',
  20361. numerical_features=[], target='label',
  20362. time_features=[])),
  20363. ('imputer',
  20364. Simple_Imputer(categorical_strategy='not_available',
  20365. fill_value_categorical=None,
  20366. fill_value_numerical=None,
  20367. numeric_strate...
  20368. max_delta_step=0, max_depth=64, max_leaves=1024,
  20369. min_child_weight=1, missing=nan,
  20370. monotone_constraints='()', n_estimators=100,
  20371. n_jobs=-1, num_parallel_tree=1,
  20372. objective='binary:logistic', predictor='auto',
  20373. random_state=1504, reg_alpha=0, reg_lambda=1,
  20374. scale_pos_weight=1, subsample=1,
  20375. tree_method='gpu_hist', use_label_encoder=True,
  20376. validate_parameters=1, ...)]],
  20377. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  20378. 2022-02-07 13:01:37,471:INFO:Checking exceptions
  20379. 2022-02-07 13:01:37,472:INFO:Preparing display monitor
  20380. 2022-02-07 13:01:37,476:INFO:Preloading libraries
  20381. 2022-02-07 13:01:37,798:INFO:Copying training dataset
  20382. 2022-02-07 13:01:37,800:INFO:Copying test dataset
  20383. 2022-02-07 13:01:37,800:INFO:Plot type: parameter
  20384. 2022-02-07 13:01:37,807:INFO:Visual Rendered Successfully
  20385. 2022-02-07 13:01:37,894:INFO:plot_model() succesfully completed......................................
  20386. 2022-02-07 13:01:43,401:INFO:Initializing plot_model()
  20387. 2022-02-07 13:01:43,401:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  20388. steps=[('dtypes',
  20389. DataTypes_Auto_infer(categorical_features=[],
  20390. display_types=True, features_todrop=[],
  20391. id_columns=[],
  20392. ml_usecase='classification',
  20393. numerical_features=[], target='label',
  20394. time_features=[])),
  20395. ('imputer',
  20396. Simple_Imputer(categorical_strategy='not_available',
  20397. fill_value_categorical=None,
  20398. fill_value_numerical=None,
  20399. numeric_strate...
  20400. max_delta_step=0, max_depth=64, max_leaves=1024,
  20401. min_child_weight=1, missing=nan,
  20402. monotone_constraints='()', n_estimators=100,
  20403. n_jobs=-1, num_parallel_tree=1,
  20404. objective='binary:logistic', predictor='auto',
  20405. random_state=1504, reg_alpha=0, reg_lambda=1,
  20406. scale_pos_weight=1, subsample=1,
  20407. tree_method='gpu_hist', use_label_encoder=True,
  20408. validate_parameters=1, ...)]],
  20409. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  20410. 2022-02-07 13:01:43,401:INFO:Checking exceptions
  20411. 2022-02-07 13:01:43,402:INFO:Preparing display monitor
  20412. 2022-02-07 13:01:43,406:INFO:Preloading libraries
  20413. 2022-02-07 13:01:43,727:INFO:Copying training dataset
  20414. 2022-02-07 13:01:43,728:INFO:Copying test dataset
  20415. 2022-02-07 13:01:43,728:INFO:Plot type: confusion_matrix
  20416. 2022-02-07 13:01:43,730:INFO:Initializing get_config()
  20417. 2022-02-07 13:01:43,731:INFO:get_config(variable=prep_pipe)
  20418. 2022-02-07 13:01:43,734:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20419. steps=[('dtypes',
  20420. DataTypes_Auto_infer(categorical_features=[],
  20421. display_types=True, features_todrop=[],
  20422. id_columns=[],
  20423. ml_usecase='classification',
  20424. numerical_features=[], target='label',
  20425. time_features=[])),
  20426. ('imputer',
  20427. Simple_Imputer(categorical_strategy='not_available',
  20428. fill_value_categorical=None,
  20429. fill_value_numerical=None,
  20430. numeric_strate...
  20431. target='label')),
  20432. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20433. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20434. ('dummy', Dummify(target='label')),
  20435. ('fix_perfect', Remove_100(target='label')),
  20436. ('clean_names', Clean_Colum_Names()),
  20437. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20438. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20439. verbose=False)
  20440. 2022-02-07 13:01:43,734:INFO:get_config() succesfully completed......................................
  20441. 2022-02-07 13:01:43,746:INFO:Fitting Model
  20442. 2022-02-07 13:02:39,038:INFO:PyCaret Supervised Module
  20443. 2022-02-07 13:02:39,038:INFO:ML Usecase: classification
  20444. 2022-02-07 13:02:39,038:INFO:version 2.3.6
  20445. 2022-02-07 13:02:39,038:INFO:Initializing setup()
  20446. 2022-02-07 13:02:39,038:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  20447. 2022-02-07 13:02:39,038:INFO:Checking environment
  20448. 2022-02-07 13:02:39,038:INFO:python_version: 3.8.12
  20449. 2022-02-07 13:02:39,038:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  20450. 2022-02-07 13:02:39,038:INFO:machine: AMD64
  20451. 2022-02-07 13:02:39,038:INFO:platform: Windows-10-10.0.22000-SP0
  20452. 2022-02-07 13:02:39,038:INFO:Memory: svmem(total=68629372928, available=52405063680, percent=23.6, used=16224309248, free=52405063680)
  20453. 2022-02-07 13:02:39,038:INFO:Physical Core: 16
  20454. 2022-02-07 13:02:39,039:INFO:Logical Core: 32
  20455. 2022-02-07 13:02:39,039:INFO:Checking libraries
  20456. 2022-02-07 13:02:39,039:INFO:pd==1.3.5
  20457. 2022-02-07 13:02:39,039:INFO:numpy==1.21.5
  20458. 2022-02-07 13:02:39,039:INFO:sklearn==0.23.2
  20459. 2022-02-07 13:02:39,039:INFO:lightgbm==3.3.2
  20460. 2022-02-07 13:02:39,049:INFO:catboost==1.0.4
  20461. 2022-02-07 13:02:39,138:INFO:xgboost==1.5.2
  20462. 2022-02-07 13:02:39,417:INFO:mlflow==1.23.1
  20463. 2022-02-07 13:02:39,417:INFO:Checking Exceptions
  20464. 2022-02-07 13:02:39,418:INFO:Declaring global variables
  20465. 2022-02-07 13:02:39,418:INFO:USI: 8c64
  20466. 2022-02-07 13:02:39,418:INFO:pycaret_globals: {'master_model_container', '_all_models', '_all_metrics', 'X_train', '_ml_usecase', 'stratify_param', 'experiment__', 'USI', 'X_test', 'pycaret_globals', 'create_model_container', '_all_models_internal', 'html_param', 'seed', 'n_jobs_param', 'display_container', 'exp_name_log', 'logging_param', 'transform_target_param', 'target_param', 'iterative_imputation_iters_param', 'y_test', '_gpu_n_jobs_param', 'fix_imbalance_param', '_available_plots', '_internal_pipeline', 'transform_target_method_param', 'X', 'fix_imbalance_method_param', 'imputation_regressor', 'fold_generator', 'gpu_param', 'fold_shuffle_param', 'data_before_preprocess', 'fold_param', 'log_plots_param', 'fold_groups_param', 'y_train', 'fold_groups_param_full', 'imputation_classifier', 'y', 'prep_pipe'}
  20467. 2022-02-07 13:02:39,418:INFO:Preparing display monitor
  20468. 2022-02-07 13:02:39,418:INFO:Preparing display monitor
  20469. 2022-02-07 13:02:39,428:INFO:Importing libraries
  20470. 2022-02-07 13:02:39,428:INFO:Copying data for preprocessing
  20471. 2022-02-07 13:02:39,434:INFO:Declaring preprocessing parameters
  20472. 2022-02-07 13:02:39,435:WARNING:cuML not found
  20473. 2022-02-07 13:02:39,435:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  20474. 2022-02-07 13:02:39,438:INFO:Creating preprocessing pipeline
  20475. 2022-02-07 13:02:39,490:INFO:Preprocessing pipeline created successfully
  20476. 2022-02-07 13:02:39,490:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  20477. 2022-02-07 13:02:39,490:INFO:Creating global containers
  20478. 2022-02-07 13:02:39,492:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  20479. 2022-02-07 13:02:41,586:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20480. 2022-02-07 13:02:41,619:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20481. 2022-02-07 13:02:41,621:WARNING:Couldn't import cuml.MBSGDClassifier
  20482. 2022-02-07 13:02:41,622:WARNING:Couldn't import cuml.svm.SVC
  20483. 2022-02-07 13:02:41,642:WARNING:Couldn't import cuml.linear_model
  20484. 2022-02-07 13:02:41,646:WARNING:Couldn't import cuml.ensemble
  20485. 2022-02-07 13:02:41,811:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20486. 2022-02-07 13:02:41,870:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20487. 2022-02-07 13:02:41,870:WARNING:Couldn't import cuml.MBSGDClassifier
  20488. 2022-02-07 13:02:41,872:WARNING:Couldn't import cuml.svm.SVC
  20489. 2022-02-07 13:02:41,902:WARNING:Couldn't import cuml.linear_model
  20490. 2022-02-07 13:02:41,906:WARNING:Couldn't import cuml.ensemble
  20491. 2022-02-07 13:02:42,029:INFO:Creating grid variables
  20492. 2022-02-07 13:02:42,042:INFO:create_model_container: 0
  20493. 2022-02-07 13:02:42,042:INFO:master_model_container: 0
  20494. 2022-02-07 13:02:42,042:INFO:display_container: 1
  20495. 2022-02-07 13:02:42,048:INFO:Pipeline(memory=None,
  20496. steps=[('dtypes',
  20497. DataTypes_Auto_infer(categorical_features=[],
  20498. display_types=True, features_todrop=[],
  20499. id_columns=[],
  20500. ml_usecase='classification',
  20501. numerical_features=[], target='label',
  20502. time_features=[])),
  20503. ('imputer',
  20504. Simple_Imputer(categorical_strategy='not_available',
  20505. fill_value_categorical=None,
  20506. fill_value_numerical=None,
  20507. numeric_strate...
  20508. target='label')),
  20509. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20510. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20511. ('dummy', Dummify(target='label')),
  20512. ('fix_perfect', Remove_100(target='label')),
  20513. ('clean_names', Clean_Colum_Names()),
  20514. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20515. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20516. verbose=False)
  20517. 2022-02-07 13:02:42,048:INFO:setup() succesfully completed......................................
  20518. 2022-02-07 13:02:44,391:INFO:Initializing load_model()
  20519. 2022-02-07 13:02:44,392:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20520. 2022-02-07 13:02:52,323:INFO:Initializing plot_model()
  20521. 2022-02-07 13:02:52,323:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=Pipeline(memory=None,
  20522. steps=[('dtypes',
  20523. DataTypes_Auto_infer(categorical_features=[],
  20524. display_types=True, features_todrop=[],
  20525. id_columns=[],
  20526. ml_usecase='classification',
  20527. numerical_features=[], target='label',
  20528. time_features=[])),
  20529. ('imputer',
  20530. Simple_Imputer(categorical_strategy='not_available',
  20531. fill_value_categorical=None,
  20532. fill_value_numerical=None,
  20533. numeric_strate...
  20534. max_delta_step=0, max_depth=64, max_leaves=1024,
  20535. min_child_weight=1, missing=nan,
  20536. monotone_constraints='()', n_estimators=100,
  20537. n_jobs=-1, num_parallel_tree=1,
  20538. objective='binary:logistic', predictor='auto',
  20539. random_state=1504, reg_alpha=0, reg_lambda=1,
  20540. scale_pos_weight=1, subsample=1,
  20541. tree_method='gpu_hist', use_label_encoder=True,
  20542. validate_parameters=1, ...)]],
  20543. verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  20544. 2022-02-07 13:02:52,323:INFO:Checking exceptions
  20545. 2022-02-07 13:02:52,324:INFO:Preparing display monitor
  20546. 2022-02-07 13:02:52,328:INFO:Preloading libraries
  20547. 2022-02-07 13:02:52,650:INFO:Copying training dataset
  20548. 2022-02-07 13:02:52,651:INFO:Copying test dataset
  20549. 2022-02-07 13:02:52,652:INFO:Plot type: auc
  20550. 2022-02-07 13:02:52,654:INFO:Initializing get_config()
  20551. 2022-02-07 13:02:52,654:INFO:get_config(variable=prep_pipe)
  20552. 2022-02-07 13:02:52,657:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20553. steps=[('dtypes',
  20554. DataTypes_Auto_infer(categorical_features=[],
  20555. display_types=True, features_todrop=[],
  20556. id_columns=[],
  20557. ml_usecase='classification',
  20558. numerical_features=[], target='label',
  20559. time_features=[])),
  20560. ('imputer',
  20561. Simple_Imputer(categorical_strategy='not_available',
  20562. fill_value_categorical=None,
  20563. fill_value_numerical=None,
  20564. numeric_strate...
  20565. target='label')),
  20566. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20567. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20568. ('dummy', Dummify(target='label')),
  20569. ('fix_perfect', Remove_100(target='label')),
  20570. ('clean_names', Clean_Colum_Names()),
  20571. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20572. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20573. verbose=False)
  20574. 2022-02-07 13:02:52,657:INFO:get_config() succesfully completed......................................
  20575. 2022-02-07 13:02:52,669:INFO:Fitting Model
  20576. 2022-02-07 13:04:02,747:INFO:Initializing plot_model()
  20577. 2022-02-07 13:04:02,747:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20578. colsample_bynode=1, colsample_bytree=0.6,
  20579. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20580. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20581. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20582. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20583. num_parallel_tree=1, objective='binary:logistic',
  20584. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20585. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20586. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  20587. 2022-02-07 13:04:02,747:INFO:Checking exceptions
  20588. 2022-02-07 13:04:02,751:INFO:Preparing display monitor
  20589. 2022-02-07 13:04:02,755:INFO:Preloading libraries
  20590. 2022-02-07 13:04:03,050:INFO:Copying training dataset
  20591. 2022-02-07 13:04:03,051:INFO:Copying test dataset
  20592. 2022-02-07 13:04:03,052:INFO:Plot type: parameter
  20593. 2022-02-07 13:04:03,062:INFO:Visual Rendered Successfully
  20594. 2022-02-07 13:04:03,198:INFO:plot_model() succesfully completed......................................
  20595. 2022-02-07 13:04:36,782:INFO:Initializing predict_model()
  20596. 2022-02-07 13:04:36,782:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20597. colsample_bynode=1, colsample_bytree=0.6,
  20598. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20599. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20600. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20601. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20602. num_parallel_tree=1, objective='binary:logistic',
  20603. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20604. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20605. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20606. 2022-02-07 13:04:36,782:INFO:Checking exceptions
  20607. 2022-02-07 13:04:36,782:INFO:Preloading libraries
  20608. 2022-02-07 13:04:36,782:INFO:Preparing display monitor
  20609. 2022-02-07 13:06:05,079:INFO:Initializing finalize_model()
  20610. 2022-02-07 13:06:05,080:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20611. colsample_bynode=1, colsample_bytree=0.6,
  20612. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20613. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20614. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20615. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20616. num_parallel_tree=1, objective='binary:logistic',
  20617. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20618. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20619. use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
  20620. 2022-02-07 13:06:05,081:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20621. colsample_bynode=1, colsample_bytree=0.6,
  20622. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20623. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20624. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20625. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20626. num_parallel_tree=1, objective='binary:logistic',
  20627. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20628. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20629. use_label_encoder=True, validate_parameters=1, ...)
  20630. 2022-02-07 13:06:05,082:INFO:Initializing create_model()
  20631. 2022-02-07 13:06:05,082:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20632. colsample_bynode=1, colsample_bytree=0.6,
  20633. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20634. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20635. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20636. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20637. num_parallel_tree=1, objective='binary:logistic',
  20638. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20639. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20640. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=False, probability_threshold=None, display=None, kwargs={})
  20641. 2022-02-07 13:06:05,082:INFO:Checking exceptions
  20642. 2022-02-07 13:06:05,082:INFO:Importing libraries
  20643. 2022-02-07 13:06:05,082:INFO:Copying training dataset
  20644. 2022-02-07 13:06:05,084:INFO:Defining folds
  20645. 2022-02-07 13:06:05,084:INFO:Declaring metric variables
  20646. 2022-02-07 13:06:05,084:INFO:Importing untrained model
  20647. 2022-02-07 13:06:05,084:INFO:Declaring custom model
  20648. 2022-02-07 13:06:05,085:INFO:Extreme Gradient Boosting Imported succesfully
  20649. 2022-02-07 13:06:05,085:INFO:Starting cross validation
  20650. 2022-02-07 13:06:05,086:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  20651. 2022-02-07 13:08:16,281:INFO:Calculating mean and std
  20652. 2022-02-07 13:08:16,281:INFO:Creating metrics dataframe
  20653. 2022-02-07 13:08:16,284:INFO:Finalizing model
  20654. 2022-02-07 13:08:30,142:INFO:create_model_container: 3
  20655. 2022-02-07 13:08:30,142:INFO:master_model_container: 3
  20656. 2022-02-07 13:08:30,142:INFO:display_container: 6
  20657. 2022-02-07 13:08:30,143:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20658. colsample_bynode=1, colsample_bytree=0.6,
  20659. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20660. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20661. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20662. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20663. num_parallel_tree=1, objective='binary:logistic',
  20664. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20665. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20666. use_label_encoder=True, validate_parameters=1, ...)
  20667. 2022-02-07 13:08:30,143:INFO:create_model() succesfully completed......................................
  20668. 2022-02-07 13:08:30,275:INFO:create_model_container: 3
  20669. 2022-02-07 13:08:30,276:INFO:master_model_container: 3
  20670. 2022-02-07 13:08:30,276:INFO:display_container: 5
  20671. 2022-02-07 13:08:30,277:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20672. colsample_bynode=1, colsample_bytree=0.6,
  20673. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20674. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20675. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20676. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20677. num_parallel_tree=1, objective='binary:logistic',
  20678. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20679. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20680. use_label_encoder=True, validate_parameters=1, ...)
  20681. 2022-02-07 13:08:30,277:INFO:finalize_model() succesfully completed......................................
  20682. 2022-02-07 13:08:30,415:INFO:Initializing predict_model()
  20683. 2022-02-07 13:08:30,415:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20684. colsample_bynode=1, colsample_bytree=0.6,
  20685. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20686. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20687. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20688. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20689. num_parallel_tree=1, objective='binary:logistic',
  20690. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20691. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20692. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20693. 2022-02-07 13:08:30,415:INFO:Checking exceptions
  20694. 2022-02-07 13:08:30,415:INFO:Preloading libraries
  20695. 2022-02-07 13:08:30,415:INFO:Preparing display monitor
  20696. 2022-02-07 13:20:36,220:INFO:Initializing predict_model()
  20697. 2022-02-07 13:20:36,220:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20698. colsample_bynode=1, colsample_bytree=0.6,
  20699. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20700. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20701. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20702. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20703. num_parallel_tree=1, objective='binary:logistic',
  20704. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20705. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20706. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20707. 2022-02-07 13:20:36,220:INFO:Checking exceptions
  20708. 2022-02-07 13:20:36,220:INFO:Preloading libraries
  20709. 2022-02-07 13:20:36,220:INFO:Preparing display monitor
  20710. 2022-02-07 13:20:48,036:INFO:Initializing predict_model()
  20711. 2022-02-07 13:20:48,036:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20712. colsample_bynode=1, colsample_bytree=0.6,
  20713. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20714. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20715. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20716. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20717. num_parallel_tree=1, objective='binary:logistic',
  20718. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20719. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20720. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20721. 2022-02-07 13:20:48,036:INFO:Checking exceptions
  20722. 2022-02-07 13:20:48,036:INFO:Preloading libraries
  20723. 2022-02-07 13:20:48,036:INFO:Preparing display monitor
  20724. 2022-02-07 13:21:08,950:INFO:Initializing predict_model()
  20725. 2022-02-07 13:21:08,951:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20726. colsample_bynode=1, colsample_bytree=0.6,
  20727. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20728. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20729. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20730. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20731. num_parallel_tree=1, objective='binary:logistic',
  20732. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20733. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20734. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20735. 2022-02-07 13:21:08,951:INFO:Checking exceptions
  20736. 2022-02-07 13:21:08,951:INFO:Preloading libraries
  20737. 2022-02-07 13:21:08,951:INFO:Preparing display monitor
  20738. 2022-02-07 13:21:19,375:INFO:Initializing predict_model()
  20739. 2022-02-07 13:21:19,375:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20740. colsample_bynode=1, colsample_bytree=0.6,
  20741. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20742. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20743. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20744. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20745. num_parallel_tree=1, objective='binary:logistic',
  20746. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20747. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20748. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20749. 2022-02-07 13:21:19,375:INFO:Checking exceptions
  20750. 2022-02-07 13:21:19,375:INFO:Preloading libraries
  20751. 2022-02-07 13:21:19,375:INFO:Preparing display monitor
  20752. 2022-02-07 13:21:43,616:INFO:Initializing save_model()
  20753. 2022-02-07 13:21:43,616:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20754. colsample_bynode=1, colsample_bytree=0.6,
  20755. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20756. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20757. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20758. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20759. num_parallel_tree=1, objective='binary:logistic',
  20760. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20761. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20762. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
  20763. steps=[('dtypes',
  20764. DataTypes_Auto_infer(categorical_features=[],
  20765. display_types=True, features_todrop=[],
  20766. id_columns=[],
  20767. ml_usecase='classification',
  20768. numerical_features=[], target='label',
  20769. time_features=[])),
  20770. ('imputer',
  20771. Simple_Imputer(categorical_strategy='not_available',
  20772. fill_value_categorical=None,
  20773. fill_value_numerical=None,
  20774. numeric_strate...
  20775. target='label')),
  20776. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20777. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20778. ('dummy', Dummify(target='label')),
  20779. ('fix_perfect', Remove_100(target='label')),
  20780. ('clean_names', Clean_Colum_Names()),
  20781. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20782. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20783. verbose=False), verbose=True, kwargs={})
  20784. 2022-02-07 13:21:43,616:INFO:Adding model into prep_pipe
  20785. 2022-02-07 13:21:43,870:INFO:tuned_xgboost_0207.pkl saved in current working directory
  20786. 2022-02-07 13:21:43,877:INFO:Pipeline(memory=None,
  20787. steps=[('dtypes',
  20788. DataTypes_Auto_infer(categorical_features=[],
  20789. display_types=True, features_todrop=[],
  20790. id_columns=[],
  20791. ml_usecase='classification',
  20792. numerical_features=[], target='label',
  20793. time_features=[])),
  20794. ('imputer',
  20795. Simple_Imputer(categorical_strategy='not_available',
  20796. fill_value_categorical=None,
  20797. fill_value_numerical=None,
  20798. numeric_strate...
  20799. max_delta_step=0, max_depth=64, max_leaves=1024,
  20800. min_child_weight=1, missing=nan,
  20801. monotone_constraints='()', n_estimators=100,
  20802. n_jobs=-1, num_parallel_tree=1,
  20803. objective='binary:logistic', predictor='auto',
  20804. random_state=1504, reg_alpha=0, reg_lambda=1,
  20805. scale_pos_weight=1, subsample=1,
  20806. tree_method='gpu_hist', use_label_encoder=True,
  20807. validate_parameters=1, ...)]],
  20808. verbose=False)
  20809. 2022-02-07 13:21:43,877:INFO:save_model() successfully completed......................................
  20810. 2022-02-07 13:22:16,465:INFO:Initializing load_model()
  20811. 2022-02-07 13:22:16,465:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20812. 2022-02-07 13:22:20,404:INFO:Initializing plot_model()
  20813. 2022-02-07 13:22:20,404:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=Pipeline(memory=None,
  20814. steps=[('dtypes',
  20815. DataTypes_Auto_infer(categorical_features=[],
  20816. display_types=True, features_todrop=[],
  20817. id_columns=[],
  20818. ml_usecase='classification',
  20819. numerical_features=[], target='label',
  20820. time_features=[])),
  20821. ('imputer',
  20822. Simple_Imputer(categorical_strategy='not_available',
  20823. fill_value_categorical=None,
  20824. fill_value_numerical=None,
  20825. numeric_strate...
  20826. max_delta_step=0, max_depth=64, max_leaves=1024,
  20827. min_child_weight=1, missing=nan,
  20828. monotone_constraints='()', n_estimators=100,
  20829. n_jobs=-1, num_parallel_tree=1,
  20830. objective='binary:logistic', predictor='auto',
  20831. random_state=1504, reg_alpha=0, reg_lambda=1,
  20832. scale_pos_weight=1, subsample=1,
  20833. tree_method='gpu_hist', use_label_encoder=True,
  20834. validate_parameters=1, ...)]],
  20835. verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  20836. 2022-02-07 13:22:20,404:INFO:Checking exceptions
  20837. 2022-02-07 13:22:20,404:INFO:Preparing display monitor
  20838. 2022-02-07 13:22:20,408:INFO:Preloading libraries
  20839. 2022-02-07 13:22:20,827:INFO:Copying training dataset
  20840. 2022-02-07 13:22:20,828:INFO:Copying test dataset
  20841. 2022-02-07 13:22:20,829:INFO:Plot type: auc
  20842. 2022-02-07 13:22:20,831:INFO:Initializing get_config()
  20843. 2022-02-07 13:22:20,831:INFO:get_config(variable=prep_pipe)
  20844. 2022-02-07 13:22:20,834:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20845. steps=[('dtypes',
  20846. DataTypes_Auto_infer(categorical_features=[],
  20847. display_types=True, features_todrop=[],
  20848. id_columns=[],
  20849. ml_usecase='classification',
  20850. numerical_features=[], target='label',
  20851. time_features=[])),
  20852. ('imputer',
  20853. Simple_Imputer(categorical_strategy='not_available',
  20854. fill_value_categorical=None,
  20855. fill_value_numerical=None,
  20856. numeric_strate...
  20857. target='label')),
  20858. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20859. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20860. ('dummy', Dummify(target='label')),
  20861. ('fix_perfect', Remove_100(target='label')),
  20862. ('clean_names', Clean_Colum_Names()),
  20863. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20864. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20865. verbose=False)
  20866. 2022-02-07 13:22:20,834:INFO:get_config() succesfully completed......................................
  20867. 2022-02-07 13:22:20,843:INFO:Fitting Model
  20868. 2022-02-07 13:22:40,008:INFO:Initializing load_model()
  20869. 2022-02-07 13:22:40,008:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20870. 2022-02-07 13:22:42,819:INFO:Initializing plot_model()
  20871. 2022-02-07 13:22:42,819:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=Pipeline(memory=None,
  20872. steps=[('dtypes',
  20873. DataTypes_Auto_infer(categorical_features=[],
  20874. display_types=True, features_todrop=[],
  20875. id_columns=[],
  20876. ml_usecase='classification',
  20877. numerical_features=[], target='label',
  20878. time_features=[])),
  20879. ('imputer',
  20880. Simple_Imputer(categorical_strategy='not_available',
  20881. fill_value_categorical=None,
  20882. fill_value_numerical=None,
  20883. numeric_strate...
  20884. max_delta_step=0, max_depth=64, max_leaves=1024,
  20885. min_child_weight=1, missing=nan,
  20886. monotone_constraints='()', n_estimators=100,
  20887. n_jobs=-1, num_parallel_tree=1,
  20888. objective='binary:logistic', predictor='auto',
  20889. random_state=1504, reg_alpha=0, reg_lambda=1,
  20890. scale_pos_weight=1, subsample=1,
  20891. tree_method='gpu_hist', use_label_encoder=True,
  20892. validate_parameters=1, ...)]],
  20893. verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  20894. 2022-02-07 13:22:42,819:INFO:Checking exceptions
  20895. 2022-02-07 13:22:42,820:INFO:Preparing display monitor
  20896. 2022-02-07 13:22:42,824:INFO:Preloading libraries
  20897. 2022-02-07 13:22:43,243:INFO:Copying training dataset
  20898. 2022-02-07 13:22:43,245:INFO:Copying test dataset
  20899. 2022-02-07 13:22:43,245:INFO:Plot type: auc
  20900. 2022-02-07 13:22:43,247:INFO:Initializing get_config()
  20901. 2022-02-07 13:22:43,247:INFO:get_config(variable=prep_pipe)
  20902. 2022-02-07 13:22:43,250:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20903. steps=[('dtypes',
  20904. DataTypes_Auto_infer(categorical_features=[],
  20905. display_types=True, features_todrop=[],
  20906. id_columns=[],
  20907. ml_usecase='classification',
  20908. numerical_features=[], target='label',
  20909. time_features=[])),
  20910. ('imputer',
  20911. Simple_Imputer(categorical_strategy='not_available',
  20912. fill_value_categorical=None,
  20913. fill_value_numerical=None,
  20914. numeric_strate...
  20915. target='label')),
  20916. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20917. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20918. ('dummy', Dummify(target='label')),
  20919. ('fix_perfect', Remove_100(target='label')),
  20920. ('clean_names', Clean_Colum_Names()),
  20921. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20922. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20923. verbose=False)
  20924. 2022-02-07 13:22:43,250:INFO:get_config() succesfully completed......................................
  20925. 2022-02-07 13:22:43,259:INFO:Fitting Model
  20926. 2022-02-07 13:25:13,172:INFO:PyCaret Supervised Module
  20927. 2022-02-07 13:25:13,172:INFO:ML Usecase: classification
  20928. 2022-02-07 13:25:13,172:INFO:version 2.3.6
  20929. 2022-02-07 13:25:13,172:INFO:Initializing setup()
  20930. 2022-02-07 13:25:13,172:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  20931. 2022-02-07 13:25:13,172:INFO:Checking environment
  20932. 2022-02-07 13:25:13,172:INFO:python_version: 3.8.12
  20933. 2022-02-07 13:25:13,172:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  20934. 2022-02-07 13:25:13,172:INFO:machine: AMD64
  20935. 2022-02-07 13:25:13,172:INFO:platform: Windows-10-10.0.22000-SP0
  20936. 2022-02-07 13:25:13,172:INFO:Memory: svmem(total=68629372928, available=51734814720, percent=24.6, used=16894558208, free=51734814720)
  20937. 2022-02-07 13:25:13,173:INFO:Physical Core: 16
  20938. 2022-02-07 13:25:13,173:INFO:Logical Core: 32
  20939. 2022-02-07 13:25:13,173:INFO:Checking libraries
  20940. 2022-02-07 13:25:13,173:INFO:pd==1.3.5
  20941. 2022-02-07 13:25:13,173:INFO:numpy==1.21.5
  20942. 2022-02-07 13:25:13,173:INFO:sklearn==0.23.2
  20943. 2022-02-07 13:25:13,173:INFO:lightgbm==3.3.2
  20944. 2022-02-07 13:25:13,173:INFO:catboost==1.0.4
  20945. 2022-02-07 13:25:13,173:INFO:xgboost==1.5.2
  20946. 2022-02-07 13:25:13,173:INFO:mlflow==1.23.1
  20947. 2022-02-07 13:25:13,173:INFO:Checking Exceptions
  20948. 2022-02-07 13:25:13,173:INFO:Declaring global variables
  20949. 2022-02-07 13:25:13,173:INFO:USI: dcd1
  20950. 2022-02-07 13:25:13,173:INFO:pycaret_globals: {'master_model_container', '_all_models', '_all_metrics', 'X_train', '_ml_usecase', 'stratify_param', 'experiment__', 'USI', 'X_test', 'pycaret_globals', 'create_model_container', '_all_models_internal', 'html_param', 'seed', 'n_jobs_param', 'display_container', 'exp_name_log', 'logging_param', 'transform_target_param', 'target_param', 'iterative_imputation_iters_param', 'y_test', '_gpu_n_jobs_param', 'fix_imbalance_param', '_available_plots', '_internal_pipeline', 'transform_target_method_param', 'X', 'fix_imbalance_method_param', 'imputation_regressor', 'fold_generator', 'gpu_param', 'fold_shuffle_param', 'data_before_preprocess', 'fold_param', 'log_plots_param', 'fold_groups_param', 'y_train', 'fold_groups_param_full', 'imputation_classifier', 'y', 'prep_pipe'}
  20951. 2022-02-07 13:25:13,173:INFO:Preparing display monitor
  20952. 2022-02-07 13:25:13,173:INFO:Preparing display monitor
  20953. 2022-02-07 13:25:13,180:INFO:Importing libraries
  20954. 2022-02-07 13:25:13,181:INFO:Copying data for preprocessing
  20955. 2022-02-07 13:25:13,186:INFO:Declaring preprocessing parameters
  20956. 2022-02-07 13:25:13,187:WARNING:cuML not found
  20957. 2022-02-07 13:25:13,187:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  20958. 2022-02-07 13:25:13,191:INFO:Creating preprocessing pipeline
  20959. 2022-02-07 13:25:13,244:INFO:Preprocessing pipeline created successfully
  20960. 2022-02-07 13:25:13,244:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  20961. 2022-02-07 13:25:13,244:INFO:Creating global containers
  20962. 2022-02-07 13:25:13,244:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  20963. 2022-02-07 13:25:15,939:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20964. 2022-02-07 13:25:15,973:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20965. 2022-02-07 13:25:15,973:WARNING:Couldn't import cuml.MBSGDClassifier
  20966. 2022-02-07 13:25:15,974:WARNING:Couldn't import cuml.svm.SVC
  20967. 2022-02-07 13:25:15,991:WARNING:Couldn't import cuml.linear_model
  20968. 2022-02-07 13:25:15,995:WARNING:Couldn't import cuml.ensemble
  20969. 2022-02-07 13:25:16,151:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20970. 2022-02-07 13:25:16,209:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20971. 2022-02-07 13:25:16,210:WARNING:Couldn't import cuml.MBSGDClassifier
  20972. 2022-02-07 13:25:16,212:WARNING:Couldn't import cuml.svm.SVC
  20973. 2022-02-07 13:25:16,244:WARNING:Couldn't import cuml.linear_model
  20974. 2022-02-07 13:25:16,250:WARNING:Couldn't import cuml.ensemble
  20975. 2022-02-07 13:25:16,400:INFO:Creating grid variables
  20976. 2022-02-07 13:25:16,414:INFO:create_model_container: 0
  20977. 2022-02-07 13:25:16,414:INFO:master_model_container: 0
  20978. 2022-02-07 13:25:16,414:INFO:display_container: 1
  20979. 2022-02-07 13:25:16,419:INFO:Pipeline(memory=None,
  20980. steps=[('dtypes',
  20981. DataTypes_Auto_infer(categorical_features=[],
  20982. display_types=True, features_todrop=[],
  20983. id_columns=[],
  20984. ml_usecase='classification',
  20985. numerical_features=[], target='label',
  20986. time_features=[])),
  20987. ('imputer',
  20988. Simple_Imputer(categorical_strategy='not_available',
  20989. fill_value_categorical=None,
  20990. fill_value_numerical=None,
  20991. numeric_strate...
  20992. target='label')),
  20993. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20994. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20995. ('dummy', Dummify(target='label')),
  20996. ('fix_perfect', Remove_100(target='label')),
  20997. ('clean_names', Clean_Colum_Names()),
  20998. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20999. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21000. verbose=False)
  21001. 2022-02-07 13:25:16,420:INFO:setup() succesfully completed......................................
  21002. 2022-02-07 13:25:18,279:INFO:Initializing load_model()
  21003. 2022-02-07 13:25:18,279:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  21004. 2022-02-07 13:25:22,638:INFO:Initializing plot_model()
  21005. 2022-02-07 13:25:22,638:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=Pipeline(memory=None,
  21006. steps=[('dtypes',
  21007. DataTypes_Auto_infer(categorical_features=[],
  21008. display_types=True, features_todrop=[],
  21009. id_columns=[],
  21010. ml_usecase='classification',
  21011. numerical_features=[], target='label',
  21012. time_features=[])),
  21013. ('imputer',
  21014. Simple_Imputer(categorical_strategy='not_available',
  21015. fill_value_categorical=None,
  21016. fill_value_numerical=None,
  21017. numeric_strate...
  21018. max_delta_step=0, max_depth=64, max_leaves=1024,
  21019. min_child_weight=1, missing=nan,
  21020. monotone_constraints='()', n_estimators=100,
  21021. n_jobs=-1, num_parallel_tree=1,
  21022. objective='binary:logistic', predictor='auto',
  21023. random_state=1504, reg_alpha=0, reg_lambda=1,
  21024. scale_pos_weight=1, subsample=1,
  21025. tree_method='gpu_hist', use_label_encoder=True,
  21026. validate_parameters=1, ...)]],
  21027. verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  21028. 2022-02-07 13:25:22,638:INFO:Checking exceptions
  21029. 2022-02-07 13:25:22,638:INFO:Preparing display monitor
  21030. 2022-02-07 13:25:22,642:INFO:Preloading libraries
  21031. 2022-02-07 13:25:23,058:INFO:Copying training dataset
  21032. 2022-02-07 13:25:23,059:INFO:Copying test dataset
  21033. 2022-02-07 13:25:23,059:INFO:Plot type: auc
  21034. 2022-02-07 13:25:23,061:INFO:Initializing get_config()
  21035. 2022-02-07 13:25:23,061:INFO:get_config(variable=prep_pipe)
  21036. 2022-02-07 13:25:23,064:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21037. steps=[('dtypes',
  21038. DataTypes_Auto_infer(categorical_features=[],
  21039. display_types=True, features_todrop=[],
  21040. id_columns=[],
  21041. ml_usecase='classification',
  21042. numerical_features=[], target='label',
  21043. time_features=[])),
  21044. ('imputer',
  21045. Simple_Imputer(categorical_strategy='not_available',
  21046. fill_value_categorical=None,
  21047. fill_value_numerical=None,
  21048. numeric_strate...
  21049. target='label')),
  21050. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21051. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21052. ('dummy', Dummify(target='label')),
  21053. ('fix_perfect', Remove_100(target='label')),
  21054. ('clean_names', Clean_Colum_Names()),
  21055. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21056. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21057. verbose=False)
  21058. 2022-02-07 13:25:23,064:INFO:get_config() succesfully completed......................................
  21059. 2022-02-07 13:25:23,073:INFO:Fitting Model
  21060. 2022-02-07 13:25:50,593:INFO:Initializing evaluate_model()
  21061. 2022-02-07 13:25:50,594:INFO:evaluate_model(estimator=Pipeline(memory=None,
  21062. steps=[('dtypes',
  21063. DataTypes_Auto_infer(categorical_features=[],
  21064. display_types=True, features_todrop=[],
  21065. id_columns=[],
  21066. ml_usecase='classification',
  21067. numerical_features=[], target='label',
  21068. time_features=[])),
  21069. ('imputer',
  21070. Simple_Imputer(categorical_strategy='not_available',
  21071. fill_value_categorical=None,
  21072. fill_value_numerical=None,
  21073. numeric_strate...
  21074. max_delta_step=0, max_depth=64, max_leaves=1024,
  21075. min_child_weight=1, missing=nan,
  21076. monotone_constraints='()', n_estimators=100,
  21077. n_jobs=-1, num_parallel_tree=1,
  21078. objective='binary:logistic', predictor='auto',
  21079. random_state=1504, reg_alpha=0, reg_lambda=1,
  21080. scale_pos_weight=1, subsample=1,
  21081. tree_method='gpu_hist', use_label_encoder=True,
  21082. validate_parameters=1, ...)]],
  21083. verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  21084. 2022-02-07 13:25:50,613:INFO:Initializing plot_model()
  21085. 2022-02-07 13:25:50,613:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  21086. steps=[('dtypes',
  21087. DataTypes_Auto_infer(categorical_features=[],
  21088. display_types=True, features_todrop=[],
  21089. id_columns=[],
  21090. ml_usecase='classification',
  21091. numerical_features=[], target='label',
  21092. time_features=[])),
  21093. ('imputer',
  21094. Simple_Imputer(categorical_strategy='not_available',
  21095. fill_value_categorical=None,
  21096. fill_value_numerical=None,
  21097. numeric_strate...
  21098. max_delta_step=0, max_depth=64, max_leaves=1024,
  21099. min_child_weight=1, missing=nan,
  21100. monotone_constraints='()', n_estimators=100,
  21101. n_jobs=-1, num_parallel_tree=1,
  21102. objective='binary:logistic', predictor='auto',
  21103. random_state=1504, reg_alpha=0, reg_lambda=1,
  21104. scale_pos_weight=1, subsample=1,
  21105. tree_method='gpu_hist', use_label_encoder=True,
  21106. validate_parameters=1, ...)]],
  21107. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  21108. 2022-02-07 13:25:50,613:INFO:Checking exceptions
  21109. 2022-02-07 13:25:50,614:INFO:Preparing display monitor
  21110. 2022-02-07 13:25:50,618:INFO:Preloading libraries
  21111. 2022-02-07 13:25:51,029:INFO:Copying training dataset
  21112. 2022-02-07 13:25:51,030:INFO:Copying test dataset
  21113. 2022-02-07 13:25:51,031:INFO:Plot type: parameter
  21114. 2022-02-07 13:25:51,037:INFO:Visual Rendered Successfully
  21115. 2022-02-07 13:25:51,224:INFO:plot_model() succesfully completed......................................
  21116. 2022-02-07 13:25:55,815:INFO:Initializing plot_model()
  21117. 2022-02-07 13:25:55,815:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  21118. steps=[('dtypes',
  21119. DataTypes_Auto_infer(categorical_features=[],
  21120. display_types=True, features_todrop=[],
  21121. id_columns=[],
  21122. ml_usecase='classification',
  21123. numerical_features=[], target='label',
  21124. time_features=[])),
  21125. ('imputer',
  21126. Simple_Imputer(categorical_strategy='not_available',
  21127. fill_value_categorical=None,
  21128. fill_value_numerical=None,
  21129. numeric_strate...
  21130. max_delta_step=0, max_depth=64, max_leaves=1024,
  21131. min_child_weight=1, missing=nan,
  21132. monotone_constraints='()', n_estimators=100,
  21133. n_jobs=-1, num_parallel_tree=1,
  21134. objective='binary:logistic', predictor='auto',
  21135. random_state=1504, reg_alpha=0, reg_lambda=1,
  21136. scale_pos_weight=1, subsample=1,
  21137. tree_method='gpu_hist', use_label_encoder=True,
  21138. validate_parameters=1, ...)]],
  21139. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  21140. 2022-02-07 13:25:55,815:INFO:Checking exceptions
  21141. 2022-02-07 13:25:55,816:INFO:Preparing display monitor
  21142. 2022-02-07 13:25:55,820:INFO:Preloading libraries
  21143. 2022-02-07 13:25:56,228:INFO:Copying training dataset
  21144. 2022-02-07 13:25:56,229:INFO:Copying test dataset
  21145. 2022-02-07 13:25:56,229:INFO:Plot type: auc
  21146. 2022-02-07 13:25:56,231:INFO:Initializing get_config()
  21147. 2022-02-07 13:25:56,231:INFO:get_config(variable=prep_pipe)
  21148. 2022-02-07 13:25:56,235:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21149. steps=[('dtypes',
  21150. DataTypes_Auto_infer(categorical_features=[],
  21151. display_types=True, features_todrop=[],
  21152. id_columns=[],
  21153. ml_usecase='classification',
  21154. numerical_features=[], target='label',
  21155. time_features=[])),
  21156. ('imputer',
  21157. Simple_Imputer(categorical_strategy='not_available',
  21158. fill_value_categorical=None,
  21159. fill_value_numerical=None,
  21160. numeric_strate...
  21161. target='label')),
  21162. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21163. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21164. ('dummy', Dummify(target='label')),
  21165. ('fix_perfect', Remove_100(target='label')),
  21166. ('clean_names', Clean_Colum_Names()),
  21167. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21168. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21169. verbose=False)
  21170. 2022-02-07 13:25:56,235:INFO:get_config() succesfully completed......................................
  21171. 2022-02-07 13:25:56,243:INFO:Fitting Model
  21172. 2022-02-07 13:26:36,710:INFO:Initializing load_model()
  21173. 2022-02-07 13:26:36,711:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  21174. 2022-02-07 13:26:52,718:INFO:Initializing predict_model()
  21175. 2022-02-07 13:26:52,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  21176. DataTypes_Auto_infer(ml_usecase='classification',
  21177. target='label')),
  21178. ('imputer',
  21179. Simple_Imputer(categorical_strategy='not_available',
  21180. fill_value_categorical=None,
  21181. fill_value_numerical=None,
  21182. numeric_strategy='mean',
  21183. target_variable=None)),
  21184. ('new_levels1',
  21185. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  21186. 'frequent',
  21187. targe...
  21188. gamma=0, gpu_id=0, importance_type=None,
  21189. interaction_constraints='', learning_rate=0.05,
  21190. max_delta_step=0, max_depth=64, max_leaves=1024,
  21191. min_child_weight=1, missing=nan,
  21192. monotone_constraints='()', n_estimators=100,
  21193. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  21194. random_state=1504, reg_alpha=0, reg_lambda=1,
  21195. scale_pos_weight=1, subsample=1,
  21196. tree_method='gpu_hist', validate_parameters=1,
  21197. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21198. 2022-02-07 13:26:52,718:INFO:Checking exceptions
  21199. 2022-02-07 13:26:52,718:INFO:Preloading libraries
  21200. 2022-02-07 13:27:02,174:INFO:Initializing predict_model()
  21201. 2022-02-07 13:27:02,174:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  21202. DataTypes_Auto_infer(ml_usecase='classification',
  21203. target='label')),
  21204. ('imputer',
  21205. Simple_Imputer(categorical_strategy='not_available',
  21206. fill_value_categorical=None,
  21207. fill_value_numerical=None,
  21208. numeric_strategy='mean',
  21209. target_variable=None)),
  21210. ('new_levels1',
  21211. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  21212. 'frequent',
  21213. targe...
  21214. gamma=0, gpu_id=0, importance_type=None,
  21215. interaction_constraints='', learning_rate=0.05,
  21216. max_delta_step=0, max_depth=64, max_leaves=1024,
  21217. min_child_weight=1, missing=nan,
  21218. monotone_constraints='()', n_estimators=100,
  21219. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  21220. random_state=1504, reg_alpha=0, reg_lambda=1,
  21221. scale_pos_weight=1, subsample=1,
  21222. tree_method='gpu_hist', validate_parameters=1,
  21223. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21224. 2022-02-07 13:27:02,175:INFO:Checking exceptions
  21225. 2022-02-07 13:27:02,175:INFO:Preloading libraries
  21226. 2022-02-07 13:27:55,631:INFO:Initializing predict_model()
  21227. 2022-02-07 13:27:55,631:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  21228. DataTypes_Auto_infer(ml_usecase='classification',
  21229. target='label')),
  21230. ('imputer',
  21231. Simple_Imputer(categorical_strategy='not_available',
  21232. fill_value_categorical=None,
  21233. fill_value_numerical=None,
  21234. numeric_strategy='mean',
  21235. target_variable=None)),
  21236. ('new_levels1',
  21237. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  21238. 'frequent',
  21239. targe...
  21240. gamma=0, gpu_id=0, importance_type=None,
  21241. interaction_constraints='', learning_rate=0.05,
  21242. max_delta_step=0, max_depth=64, max_leaves=1024,
  21243. min_child_weight=1, missing=nan,
  21244. monotone_constraints='()', n_estimators=100,
  21245. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  21246. random_state=1504, reg_alpha=0, reg_lambda=1,
  21247. scale_pos_weight=1, subsample=1,
  21248. tree_method='gpu_hist', validate_parameters=1,
  21249. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21250. 2022-02-07 13:27:55,631:INFO:Checking exceptions
  21251. 2022-02-07 13:27:55,631:INFO:Preloading libraries
  21252. 2022-02-07 13:28:16,161:INFO:Initializing predict_model()
  21253. 2022-02-07 13:28:16,161:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  21254. DataTypes_Auto_infer(ml_usecase='classification',
  21255. target='label')),
  21256. ('imputer',
  21257. Simple_Imputer(categorical_strategy='not_available',
  21258. fill_value_categorical=None,
  21259. fill_value_numerical=None,
  21260. numeric_strategy='mean',
  21261. target_variable=None)),
  21262. ('new_levels1',
  21263. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  21264. 'frequent',
  21265. targe...
  21266. gamma=0, gpu_id=0, importance_type=None,
  21267. interaction_constraints='', learning_rate=0.05,
  21268. max_delta_step=0, max_depth=64, max_leaves=1024,
  21269. min_child_weight=1, missing=nan,
  21270. monotone_constraints='()', n_estimators=100,
  21271. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  21272. random_state=1504, reg_alpha=0, reg_lambda=1,
  21273. scale_pos_weight=1, subsample=1,
  21274. tree_method='gpu_hist', validate_parameters=1,
  21275. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21276. 2022-02-07 13:28:16,161:INFO:Checking exceptions
  21277. 2022-02-07 13:28:16,162:INFO:Preloading libraries
  21278. 2022-02-07 15:53:27,752:INFO:Initializing evaluate_model()
  21279. 2022-02-07 15:53:27,753:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21280. colsample_bynode=1, colsample_bytree=0.6,
  21281. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21282. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21283. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  21284. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21285. num_parallel_tree=1, objective='binary:logistic',
  21286. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  21287. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21288. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  21289. 2022-02-07 15:53:27,765:INFO:Initializing plot_model()
  21290. 2022-02-07 15:53:27,766:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21291. colsample_bynode=1, colsample_bytree=0.6,
  21292. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21293. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21294. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  21295. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21296. num_parallel_tree=1, objective='binary:logistic',
  21297. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  21298. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21299. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  21300. 2022-02-07 15:53:27,766:INFO:Checking exceptions
  21301. 2022-02-07 15:53:27,769:INFO:Preparing display monitor
  21302. 2022-02-07 15:53:27,774:INFO:Preloading libraries
  21303. 2022-02-07 15:53:28,079:INFO:Copying training dataset
  21304. 2022-02-07 15:53:28,080:INFO:Copying test dataset
  21305. 2022-02-07 15:53:28,081:INFO:Plot type: parameter
  21306. 2022-02-07 15:53:28,093:INFO:Visual Rendered Successfully
  21307. 2022-02-07 15:53:28,260:INFO:plot_model() succesfully completed......................................
  21308. 2022-02-07 15:53:30,113:INFO:Initializing plot_model()
  21309. 2022-02-07 15:53:30,115:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21310. colsample_bynode=1, colsample_bytree=0.6,
  21311. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21312. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21313. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  21314. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21315. num_parallel_tree=1, objective='binary:logistic',
  21316. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  21317. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21318. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  21319. 2022-02-07 15:53:30,115:INFO:Checking exceptions
  21320. 2022-02-07 15:53:30,117:INFO:Preparing display monitor
  21321. 2022-02-07 15:53:30,122:INFO:Preloading libraries
  21322. 2022-02-07 15:53:30,420:INFO:Copying training dataset
  21323. 2022-02-07 15:53:30,421:INFO:Copying test dataset
  21324. 2022-02-07 15:53:30,421:INFO:Plot type: confusion_matrix
  21325. 2022-02-07 15:53:30,427:INFO:Initializing get_config()
  21326. 2022-02-07 15:53:30,427:INFO:get_config(variable=prep_pipe)
  21327. 2022-02-07 15:53:30,430:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21328. steps=[('dtypes',
  21329. DataTypes_Auto_infer(categorical_features=[],
  21330. display_types=True, features_todrop=[],
  21331. id_columns=[],
  21332. ml_usecase='classification',
  21333. numerical_features=[], target='label',
  21334. time_features=[])),
  21335. ('imputer',
  21336. Simple_Imputer(categorical_strategy='not_available',
  21337. fill_value_categorical=None,
  21338. fill_value_numerical=None,
  21339. numeric_strate...
  21340. target='label')),
  21341. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21342. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21343. ('dummy', Dummify(target='label')),
  21344. ('fix_perfect', Remove_100(target='label')),
  21345. ('clean_names', Clean_Colum_Names()),
  21346. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21347. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21348. verbose=False)
  21349. 2022-02-07 15:53:30,430:INFO:get_config() succesfully completed......................................
  21350. 2022-02-07 15:53:30,438:INFO:Fitting Model
  21351. 2022-02-07 15:53:30,439:INFO:Scoring test/hold-out set
  21352. 2022-02-07 15:53:30,545:INFO:Visual Rendered Successfully
  21353. 2022-02-07 15:53:30,698:INFO:plot_model() succesfully completed......................................
  21354. 2022-02-07 15:54:17,997:INFO:PyCaret Supervised Module
  21355. 2022-02-07 15:54:17,997:INFO:ML Usecase: classification
  21356. 2022-02-07 15:54:17,997:INFO:version 2.3.6
  21357. 2022-02-07 15:54:17,997:INFO:Initializing setup()
  21358. 2022-02-07 15:54:17,997:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  21359. 2022-02-07 15:54:17,997:INFO:Checking environment
  21360. 2022-02-07 15:54:17,997:INFO:python_version: 3.8.12
  21361. 2022-02-07 15:54:17,997:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  21362. 2022-02-07 15:54:17,998:INFO:machine: AMD64
  21363. 2022-02-07 15:54:17,998:INFO:platform: Windows-10-10.0.22000-SP0
  21364. 2022-02-07 15:54:17,998:INFO:Memory: svmem(total=68629372928, available=52433874944, percent=23.6, used=16195497984, free=52433874944)
  21365. 2022-02-07 15:54:17,998:INFO:Physical Core: 16
  21366. 2022-02-07 15:54:17,998:INFO:Logical Core: 32
  21367. 2022-02-07 15:54:17,998:INFO:Checking libraries
  21368. 2022-02-07 15:54:17,998:INFO:pd==1.3.5
  21369. 2022-02-07 15:54:17,998:INFO:numpy==1.21.5
  21370. 2022-02-07 15:54:17,998:INFO:sklearn==0.23.2
  21371. 2022-02-07 15:54:17,998:INFO:lightgbm==3.3.2
  21372. 2022-02-07 15:54:18,013:INFO:catboost==1.0.4
  21373. 2022-02-07 15:54:18,113:INFO:xgboost==1.5.2
  21374. 2022-02-07 15:54:18,449:INFO:mlflow==1.23.1
  21375. 2022-02-07 15:54:18,449:INFO:Checking Exceptions
  21376. 2022-02-07 15:54:18,450:INFO:Declaring global variables
  21377. 2022-02-07 15:54:18,450:INFO:USI: 5a58
  21378. 2022-02-07 15:54:18,450:INFO:pycaret_globals: {'create_model_container', 'target_param', 'exp_name_log', 'master_model_container', 'fold_shuffle_param', 'fold_groups_param_full', 'y', '_gpu_n_jobs_param', 'USI', 'data_before_preprocess', '_ml_usecase', 'experiment__', 'logging_param', 'pycaret_globals', 'X_train', '_all_metrics', '_internal_pipeline', 'iterative_imputation_iters_param', 'X', 'y_train', 'X_test', 'y_test', 'n_jobs_param', 'gpu_param', '_all_models', 'transform_target_param', '_all_models_internal', 'html_param', 'seed', 'fix_imbalance_method_param', 'prep_pipe', 'transform_target_method_param', 'imputation_regressor', 'fix_imbalance_param', 'fold_param', 'fold_groups_param', 'display_container', '_available_plots', 'fold_generator', 'log_plots_param', 'imputation_classifier', 'stratify_param'}
  21379. 2022-02-07 15:54:18,450:INFO:Preparing display monitor
  21380. 2022-02-07 15:54:18,450:INFO:Preparing display monitor
  21381. 2022-02-07 15:54:18,460:INFO:Importing libraries
  21382. 2022-02-07 15:54:18,460:INFO:Copying data for preprocessing
  21383. 2022-02-07 15:54:18,466:INFO:Declaring preprocessing parameters
  21384. 2022-02-07 15:54:18,467:WARNING:cuML not found
  21385. 2022-02-07 15:54:18,467:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  21386. 2022-02-07 15:54:18,470:INFO:Creating preprocessing pipeline
  21387. 2022-02-07 15:54:18,525:INFO:Preprocessing pipeline created successfully
  21388. 2022-02-07 15:54:18,525:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  21389. 2022-02-07 15:54:18,525:INFO:Creating global containers
  21390. 2022-02-07 15:54:18,527:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  21391. 2022-02-07 15:54:20,800:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  21392. 2022-02-07 15:54:20,833:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  21393. 2022-02-07 15:54:20,835:WARNING:Couldn't import cuml.MBSGDClassifier
  21394. 2022-02-07 15:54:20,836:WARNING:Couldn't import cuml.svm.SVC
  21395. 2022-02-07 15:54:20,857:WARNING:Couldn't import cuml.linear_model
  21396. 2022-02-07 15:54:20,861:WARNING:Couldn't import cuml.ensemble
  21397. 2022-02-07 15:54:21,028:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  21398. 2022-02-07 15:54:21,088:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  21399. 2022-02-07 15:54:21,089:WARNING:Couldn't import cuml.MBSGDClassifier
  21400. 2022-02-07 15:54:21,091:WARNING:Couldn't import cuml.svm.SVC
  21401. 2022-02-07 15:54:21,121:WARNING:Couldn't import cuml.linear_model
  21402. 2022-02-07 15:54:21,125:WARNING:Couldn't import cuml.ensemble
  21403. 2022-02-07 15:54:21,256:INFO:Creating grid variables
  21404. 2022-02-07 15:54:21,269:INFO:create_model_container: 0
  21405. 2022-02-07 15:54:21,269:INFO:master_model_container: 0
  21406. 2022-02-07 15:54:21,269:INFO:display_container: 1
  21407. 2022-02-07 15:54:21,275:INFO:Pipeline(memory=None,
  21408. steps=[('dtypes',
  21409. DataTypes_Auto_infer(categorical_features=[],
  21410. display_types=True, features_todrop=[],
  21411. id_columns=[],
  21412. ml_usecase='classification',
  21413. numerical_features=[], target='label',
  21414. time_features=[])),
  21415. ('imputer',
  21416. Simple_Imputer(categorical_strategy='not_available',
  21417. fill_value_categorical=None,
  21418. fill_value_numerical=None,
  21419. numeric_strate...
  21420. target='label')),
  21421. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21422. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21423. ('dummy', Dummify(target='label')),
  21424. ('fix_perfect', Remove_100(target='label')),
  21425. ('clean_names', Clean_Colum_Names()),
  21426. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21427. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21428. verbose=False)
  21429. 2022-02-07 15:54:21,275:INFO:setup() succesfully completed......................................
  21430. 2022-02-07 15:54:24,887:INFO:Initializing create_model()
  21431. 2022-02-07 15:54:24,888:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  21432. 2022-02-07 15:54:24,888:INFO:Checking exceptions
  21433. 2022-02-07 15:54:24,888:INFO:Preparing display monitor
  21434. 2022-02-07 15:54:24,899:INFO:Importing libraries
  21435. 2022-02-07 15:54:24,899:INFO:Copying training dataset
  21436. 2022-02-07 15:54:24,900:INFO:Defining folds
  21437. 2022-02-07 15:54:24,900:INFO:Declaring metric variables
  21438. 2022-02-07 15:54:24,905:INFO:Importing untrained model
  21439. 2022-02-07 15:54:24,910:INFO:Extreme Gradient Boosting Imported succesfully
  21440. 2022-02-07 15:54:24,920:INFO:Starting cross validation
  21441. 2022-02-07 15:54:24,921:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  21442. 2022-02-07 15:54:37,335:INFO:Calculating mean and std
  21443. 2022-02-07 15:54:37,336:INFO:Creating metrics dataframe
  21444. 2022-02-07 15:54:37,346:INFO:Finalizing model
  21445. 2022-02-07 15:54:38,355:INFO:Uploading results into container
  21446. 2022-02-07 15:54:38,355:INFO:Uploading model into container now
  21447. 2022-02-07 15:54:38,363:INFO:create_model_container: 1
  21448. 2022-02-07 15:54:38,363:INFO:master_model_container: 1
  21449. 2022-02-07 15:54:38,363:INFO:display_container: 2
  21450. 2022-02-07 15:54:38,364:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21451. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  21452. gamma=0, gpu_id=0, importance_type=None,
  21453. interaction_constraints='', learning_rate=0.300000012,
  21454. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  21455. missing=nan, monotone_constraints='()', n_estimators=100,
  21456. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  21457. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21458. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21459. use_label_encoder=True, validate_parameters=1, ...)
  21460. 2022-02-07 15:54:38,364:INFO:create_model() succesfully completed......................................
  21461. 2022-02-07 15:54:52,151:INFO:Initializing tune_model()
  21462. 2022-02-07 15:54:52,152:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21463. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  21464. gamma=0, gpu_id=0, importance_type=None,
  21465. interaction_constraints='', learning_rate=0.300000012,
  21466. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  21467. missing=nan, monotone_constraints='()', n_estimators=100,
  21468. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  21469. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21470. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21471. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'learning_rate': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  21472. 2022-02-07 15:54:52,152:INFO:Checking exceptions
  21473. 2022-02-07 15:54:52,152:INFO:Preparing display monitor
  21474. 2022-02-07 15:54:52,163:INFO:Copying training dataset
  21475. 2022-02-07 15:54:52,164:INFO:Checking base model
  21476. 2022-02-07 15:54:52,164:INFO:Base model : Extreme Gradient Boosting
  21477. 2022-02-07 15:54:52,170:INFO:Declaring metric variables
  21478. 2022-02-07 15:54:52,175:INFO:Defining Hyperparameters
  21479. 2022-02-07 15:54:52,264:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__learning_rate': [0.05, 0.005]}
  21480. 2022-02-07 15:54:52,264:INFO:Tuning with n_jobs=1
  21481. 2022-02-07 15:54:52,264:INFO:Initializing RandomizedSearchCV
  21482. 2022-02-07 16:06:58,595:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 128, 'actual_estimator__learning_rate': 0.05, 'actual_estimator__colsample_bytree': 0.6}
  21483. 2022-02-07 16:06:58,596:INFO:Hyperparameter search completed
  21484. 2022-02-07 16:06:58,596:INFO:SubProcess create_model() called ==================================
  21485. 2022-02-07 16:06:58,597:INFO:Initializing create_model()
  21486. 2022-02-07 16:06:58,597:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21487. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  21488. gamma=0, gpu_id=0, importance_type=None,
  21489. interaction_constraints='', learning_rate=0.300000012,
  21490. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  21491. missing=nan, monotone_constraints='()', n_estimators=100,
  21492. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  21493. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21494. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21495. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019D863D2F40>, kwargs={'max_leaves': 1024, 'max_depth': 128, 'learning_rate': 0.05, 'colsample_bytree': 0.6})
  21496. 2022-02-07 16:06:58,597:INFO:Checking exceptions
  21497. 2022-02-07 16:06:58,597:INFO:Importing libraries
  21498. 2022-02-07 16:06:58,597:INFO:Copying training dataset
  21499. 2022-02-07 16:06:58,599:INFO:Defining folds
  21500. 2022-02-07 16:06:58,599:INFO:Declaring metric variables
  21501. 2022-02-07 16:06:58,605:INFO:Importing untrained model
  21502. 2022-02-07 16:06:58,605:INFO:Declaring custom model
  21503. 2022-02-07 16:06:58,613:INFO:Extreme Gradient Boosting Imported succesfully
  21504. 2022-02-07 16:06:58,625:INFO:Starting cross validation
  21505. 2022-02-07 16:06:58,626:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  21506. 2022-02-07 16:08:54,655:INFO:Calculating mean and std
  21507. 2022-02-07 16:08:54,656:INFO:Creating metrics dataframe
  21508. 2022-02-07 16:08:54,666:INFO:Finalizing model
  21509. 2022-02-07 16:09:06,436:INFO:Uploading results into container
  21510. 2022-02-07 16:09:06,436:INFO:Uploading model into container now
  21511. 2022-02-07 16:09:06,436:INFO:create_model_container: 2
  21512. 2022-02-07 16:09:06,436:INFO:master_model_container: 2
  21513. 2022-02-07 16:09:06,436:INFO:display_container: 3
  21514. 2022-02-07 16:09:06,437:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21515. colsample_bynode=1, colsample_bytree=0.6,
  21516. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21517. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21518. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21519. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21520. num_parallel_tree=1, objective='binary:logistic',
  21521. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21522. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21523. use_label_encoder=True, validate_parameters=1, ...)
  21524. 2022-02-07 16:09:06,437:INFO:create_model() succesfully completed......................................
  21525. 2022-02-07 16:09:06,513:INFO:SubProcess create_model() end ==================================
  21526. 2022-02-07 16:09:06,521:INFO:create_model_container: 2
  21527. 2022-02-07 16:09:06,521:INFO:master_model_container: 2
  21528. 2022-02-07 16:09:06,521:INFO:display_container: 3
  21529. 2022-02-07 16:09:06,522:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21530. colsample_bynode=1, colsample_bytree=0.6,
  21531. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21532. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21533. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21534. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21535. num_parallel_tree=1, objective='binary:logistic',
  21536. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21537. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21538. use_label_encoder=True, validate_parameters=1, ...)
  21539. 2022-02-07 16:09:06,522:INFO:tune_model() succesfully completed......................................
  21540. 2022-02-07 16:27:22,917:INFO:Initializing finalize_model()
  21541. 2022-02-07 16:27:22,917:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21542. colsample_bynode=1, colsample_bytree=0.6,
  21543. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21544. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21545. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21546. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21547. num_parallel_tree=1, objective='binary:logistic',
  21548. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21549. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21550. use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
  21551. 2022-02-07 16:27:22,918:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21552. colsample_bynode=1, colsample_bytree=0.6,
  21553. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21554. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21555. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21556. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21557. num_parallel_tree=1, objective='binary:logistic',
  21558. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21559. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21560. use_label_encoder=True, validate_parameters=1, ...)
  21561. 2022-02-07 16:27:22,919:INFO:Initializing create_model()
  21562. 2022-02-07 16:27:22,919:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21563. colsample_bynode=1, colsample_bytree=0.6,
  21564. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21565. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21566. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21567. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21568. num_parallel_tree=1, objective='binary:logistic',
  21569. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21570. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21571. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=False, probability_threshold=None, display=None, kwargs={})
  21572. 2022-02-07 16:27:22,919:INFO:Checking exceptions
  21573. 2022-02-07 16:27:22,919:INFO:Importing libraries
  21574. 2022-02-07 16:27:22,919:INFO:Copying training dataset
  21575. 2022-02-07 16:27:22,921:INFO:Defining folds
  21576. 2022-02-07 16:27:22,921:INFO:Declaring metric variables
  21577. 2022-02-07 16:27:22,921:INFO:Importing untrained model
  21578. 2022-02-07 16:27:22,921:INFO:Declaring custom model
  21579. 2022-02-07 16:27:22,922:INFO:Extreme Gradient Boosting Imported succesfully
  21580. 2022-02-07 16:27:22,922:INFO:Starting cross validation
  21581. 2022-02-07 16:27:22,923:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  21582. 2022-02-07 16:29:34,627:INFO:Calculating mean and std
  21583. 2022-02-07 16:29:34,628:INFO:Creating metrics dataframe
  21584. 2022-02-07 16:29:34,630:INFO:Finalizing model
  21585. 2022-02-07 16:29:48,339:INFO:create_model_container: 2
  21586. 2022-02-07 16:29:48,340:INFO:master_model_container: 2
  21587. 2022-02-07 16:29:48,340:INFO:display_container: 4
  21588. 2022-02-07 16:29:48,341:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21589. colsample_bynode=1, colsample_bytree=0.6,
  21590. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21591. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21592. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21593. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21594. num_parallel_tree=1, objective='binary:logistic',
  21595. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21596. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21597. use_label_encoder=True, validate_parameters=1, ...)
  21598. 2022-02-07 16:29:48,341:INFO:create_model() succesfully completed......................................
  21599. 2022-02-07 16:29:48,426:INFO:create_model_container: 2
  21600. 2022-02-07 16:29:48,427:INFO:master_model_container: 2
  21601. 2022-02-07 16:29:48,427:INFO:display_container: 3
  21602. 2022-02-07 16:29:48,428:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21603. colsample_bynode=1, colsample_bytree=0.6,
  21604. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21605. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21606. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21607. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21608. num_parallel_tree=1, objective='binary:logistic',
  21609. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21610. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21611. use_label_encoder=True, validate_parameters=1, ...)
  21612. 2022-02-07 16:29:48,428:INFO:finalize_model() succesfully completed......................................
  21613. 2022-02-07 16:29:48,524:INFO:Initializing save_model()
  21614. 2022-02-07 16:29:48,524:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21615. colsample_bynode=1, colsample_bytree=0.6,
  21616. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21617. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21618. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21619. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21620. num_parallel_tree=1, objective='binary:logistic',
  21621. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21622. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21623. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
  21624. steps=[('dtypes',
  21625. DataTypes_Auto_infer(categorical_features=[],
  21626. display_types=True, features_todrop=[],
  21627. id_columns=[],
  21628. ml_usecase='classification',
  21629. numerical_features=[], target='label',
  21630. time_features=[])),
  21631. ('imputer',
  21632. Simple_Imputer(categorical_strategy='not_available',
  21633. fill_value_categorical=None,
  21634. fill_value_numerical=None,
  21635. numeric_strate...
  21636. target='label')),
  21637. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21638. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21639. ('dummy', Dummify(target='label')),
  21640. ('fix_perfect', Remove_100(target='label')),
  21641. ('clean_names', Clean_Colum_Names()),
  21642. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21643. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21644. verbose=False), verbose=True, kwargs={})
  21645. 2022-02-07 16:29:48,524:INFO:Adding model into prep_pipe
  21646. 2022-02-07 16:29:48,771:INFO:tuned_xgboost_0207.pkl saved in current working directory
  21647. 2022-02-07 16:29:48,778:INFO:Pipeline(memory=None,
  21648. steps=[('dtypes',
  21649. DataTypes_Auto_infer(categorical_features=[],
  21650. display_types=True, features_todrop=[],
  21651. id_columns=[],
  21652. ml_usecase='classification',
  21653. numerical_features=[], target='label',
  21654. time_features=[])),
  21655. ('imputer',
  21656. Simple_Imputer(categorical_strategy='not_available',
  21657. fill_value_categorical=None,
  21658. fill_value_numerical=None,
  21659. numeric_strate...
  21660. max_delta_step=0, max_depth=128, max_leaves=1024,
  21661. min_child_weight=1, missing=nan,
  21662. monotone_constraints='()', n_estimators=100,
  21663. n_jobs=-1, num_parallel_tree=1,
  21664. objective='binary:logistic', predictor='auto',
  21665. random_state=8985, reg_alpha=0, reg_lambda=1,
  21666. scale_pos_weight=1, subsample=1,
  21667. tree_method='gpu_hist', use_label_encoder=True,
  21668. validate_parameters=1, ...)]],
  21669. verbose=False)
  21670. 2022-02-07 16:29:48,779:INFO:save_model() successfully completed......................................
  21671. 2022-02-07 16:29:48,861:INFO:Initializing predict_model()
  21672. 2022-02-07 16:29:48,861:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21673. colsample_bynode=1, colsample_bytree=0.6,
  21674. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21675. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21676. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21677. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21678. num_parallel_tree=1, objective='binary:logistic',
  21679. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21680. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21681. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21682. 2022-02-07 16:29:48,861:INFO:Checking exceptions
  21683. 2022-02-07 16:29:48,861:INFO:Preloading libraries
  21684. 2022-02-07 16:29:48,861:INFO:Preparing display monitor
  21685. 2022-02-07 16:40:58,715:INFO:Initializing predict_model()
  21686. 2022-02-07 16:40:58,715:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21687. colsample_bynode=1, colsample_bytree=0.6,
  21688. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21689. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21690. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21691. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21692. num_parallel_tree=1, objective='binary:logistic',
  21693. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21694. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21695. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21696. 2022-02-07 16:40:58,715:INFO:Checking exceptions
  21697. 2022-02-07 16:40:58,716:INFO:Preloading libraries
  21698. 2022-02-07 16:40:58,716:INFO:Preparing display monitor
  21699. 2022-02-07 16:41:14,873:INFO:Initializing predict_model()
  21700. 2022-02-07 16:41:14,873:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21701. colsample_bynode=1, colsample_bytree=0.6,
  21702. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21703. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21704. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21705. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21706. num_parallel_tree=1, objective='binary:logistic',
  21707. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21708. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21709. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21710. 2022-02-07 16:41:14,873:INFO:Checking exceptions
  21711. 2022-02-07 16:41:14,873:INFO:Preloading libraries
  21712. 2022-02-07 16:41:14,873:INFO:Preparing display monitor
  21713. 2022-02-07 16:42:02,306:INFO:Initializing predict_model()
  21714. 2022-02-07 16:42:02,307:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21715. colsample_bynode=1, colsample_bytree=0.6,
  21716. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21717. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21718. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21719. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21720. num_parallel_tree=1, objective='binary:logistic',
  21721. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21722. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21723. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21724. 2022-02-07 16:42:02,307:INFO:Checking exceptions
  21725. 2022-02-07 16:42:02,307:INFO:Preloading libraries
  21726. 2022-02-07 16:42:02,307:INFO:Preparing display monitor
  21727. 2022-02-07 16:42:08,151:INFO:Initializing predict_model()
  21728. 2022-02-07 16:42:08,151:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21729. colsample_bynode=1, colsample_bytree=0.6,
  21730. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21731. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21732. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21733. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21734. num_parallel_tree=1, objective='binary:logistic',
  21735. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21736. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21737. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21738. 2022-02-07 16:42:08,151:INFO:Checking exceptions
  21739. 2022-02-07 16:42:08,151:INFO:Preloading libraries
  21740. 2022-02-07 16:42:08,151:INFO:Preparing display monitor
  21741. 2022-02-07 16:42:12,479:INFO:Initializing predict_model()
  21742. 2022-02-07 16:42:12,480:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21743. colsample_bynode=1, colsample_bytree=0.6,
  21744. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21745. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21746. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21747. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21748. num_parallel_tree=1, objective='binary:logistic',
  21749. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21750. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21751. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21752. 2022-02-07 16:42:12,480:INFO:Checking exceptions
  21753. 2022-02-07 16:42:12,480:INFO:Preloading libraries
  21754. 2022-02-07 16:42:12,480:INFO:Preparing display monitor
  21755. 2022-02-07 16:42:36,568:INFO:Initializing predict_model()
  21756. 2022-02-07 16:42:36,568:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21757. colsample_bynode=1, colsample_bytree=0.6,
  21758. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21759. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21760. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21761. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21762. num_parallel_tree=1, objective='binary:logistic',
  21763. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21764. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21765. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21766. 2022-02-07 16:42:36,568:INFO:Checking exceptions
  21767. 2022-02-07 16:42:36,568:INFO:Preloading libraries
  21768. 2022-02-07 16:42:36,568:INFO:Preparing display monitor
  21769. 2022-02-07 16:45:18,004:INFO:Initializing predict_model()
  21770. 2022-02-07 16:45:18,004:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21771. colsample_bynode=1, colsample_bytree=0.6,
  21772. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21773. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21774. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21775. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21776. num_parallel_tree=1, objective='binary:logistic',
  21777. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21778. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21779. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21780. 2022-02-07 16:45:18,004:INFO:Checking exceptions
  21781. 2022-02-07 16:45:18,004:INFO:Preloading libraries
  21782. 2022-02-07 16:45:18,004:INFO:Preparing display monitor
  21783. 2022-02-07 16:46:24,221:INFO:Initializing predict_model()
  21784. 2022-02-07 16:46:24,221:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21785. colsample_bynode=1, colsample_bytree=0.6,
  21786. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21787. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21788. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21789. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21790. num_parallel_tree=1, objective='binary:logistic',
  21791. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21792. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21793. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21794. 2022-02-07 16:46:24,221:INFO:Checking exceptions
  21795. 2022-02-07 16:46:24,221:INFO:Preloading libraries
  21796. 2022-02-07 16:46:24,221:INFO:Preparing display monitor
  21797. 2022-02-07 16:47:05,594:INFO:Initializing predict_model()
  21798. 2022-02-07 16:47:05,594:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21799. colsample_bynode=1, colsample_bytree=0.6,
  21800. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21801. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21802. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21803. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21804. num_parallel_tree=1, objective='binary:logistic',
  21805. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21806. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21807. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21808. 2022-02-07 16:47:05,594:INFO:Checking exceptions
  21809. 2022-02-07 16:47:05,594:INFO:Preloading libraries
  21810. 2022-02-07 16:47:05,594:INFO:Preparing display monitor
  21811. 2022-02-07 16:47:09,727:INFO:Initializing predict_model()
  21812. 2022-02-07 16:47:09,728:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21813. colsample_bynode=1, colsample_bytree=0.6,
  21814. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21815. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21816. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21817. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21818. num_parallel_tree=1, objective='binary:logistic',
  21819. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21820. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21821. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21822. 2022-02-07 16:47:09,728:INFO:Checking exceptions
  21823. 2022-02-07 16:47:09,728:INFO:Preloading libraries
  21824. 2022-02-07 16:47:09,728:INFO:Preparing display monitor
  21825. 2022-02-07 16:47:20,301:INFO:Initializing predict_model()
  21826. 2022-02-07 16:47:20,301:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21827. colsample_bynode=1, colsample_bytree=0.6,
  21828. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21829. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21830. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21831. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21832. num_parallel_tree=1, objective='binary:logistic',
  21833. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21834. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21835. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21836. 2022-02-07 16:47:20,301:INFO:Checking exceptions
  21837. 2022-02-07 16:47:20,301:INFO:Preloading libraries
  21838. 2022-02-07 16:47:20,301:INFO:Preparing display monitor
  21839. 2022-02-07 17:02:13,972:INFO:Initializing evaluate_model()
  21840. 2022-02-07 17:02:13,972:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21841. colsample_bynode=1, colsample_bytree=0.6,
  21842. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21843. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21844. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21845. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21846. num_parallel_tree=1, objective='binary:logistic',
  21847. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21848. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21849. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  21850. 2022-02-07 17:02:13,986:INFO:Initializing plot_model()
  21851. 2022-02-07 17:02:13,987:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21852. colsample_bynode=1, colsample_bytree=0.6,
  21853. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21854. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21855. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21856. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21857. num_parallel_tree=1, objective='binary:logistic',
  21858. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21859. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21860. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  21861. 2022-02-07 17:02:13,987:INFO:Checking exceptions
  21862. 2022-02-07 17:02:13,990:INFO:Preparing display monitor
  21863. 2022-02-07 17:02:13,994:INFO:Preloading libraries
  21864. 2022-02-07 17:02:14,290:INFO:Copying training dataset
  21865. 2022-02-07 17:02:14,292:INFO:Copying test dataset
  21866. 2022-02-07 17:02:14,292:INFO:Plot type: parameter
  21867. 2022-02-07 17:02:14,303:INFO:Visual Rendered Successfully
  21868. 2022-02-07 17:02:14,411:INFO:plot_model() succesfully completed......................................
  21869. 2022-02-07 17:02:16,480:INFO:Initializing plot_model()
  21870. 2022-02-07 17:02:16,481:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21871. colsample_bynode=1, colsample_bytree=0.6,
  21872. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21873. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21874. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21875. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21876. num_parallel_tree=1, objective='binary:logistic',
  21877. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21878. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21879. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  21880. 2022-02-07 17:02:16,481:INFO:Checking exceptions
  21881. 2022-02-07 17:02:16,484:INFO:Preparing display monitor
  21882. 2022-02-07 17:02:16,488:INFO:Preloading libraries
  21883. 2022-02-07 17:02:16,771:INFO:Copying training dataset
  21884. 2022-02-07 17:02:16,772:INFO:Copying test dataset
  21885. 2022-02-07 17:02:16,772:INFO:Plot type: confusion_matrix
  21886. 2022-02-07 17:02:16,780:INFO:Initializing get_config()
  21887. 2022-02-07 17:02:16,780:INFO:get_config(variable=prep_pipe)
  21888. 2022-02-07 17:02:16,783:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21889. steps=[('dtypes',
  21890. DataTypes_Auto_infer(categorical_features=[],
  21891. display_types=True, features_todrop=[],
  21892. id_columns=[],
  21893. ml_usecase='classification',
  21894. numerical_features=[], target='label',
  21895. time_features=[])),
  21896. ('imputer',
  21897. Simple_Imputer(categorical_strategy='not_available',
  21898. fill_value_categorical=None,
  21899. fill_value_numerical=None,
  21900. numeric_strate...
  21901. target='label')),
  21902. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21903. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21904. ('dummy', Dummify(target='label')),
  21905. ('fix_perfect', Remove_100(target='label')),
  21906. ('clean_names', Clean_Colum_Names()),
  21907. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21908. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21909. verbose=False)
  21910. 2022-02-07 17:02:16,783:INFO:get_config() succesfully completed......................................
  21911. 2022-02-07 17:02:16,794:INFO:Fitting Model
  21912. 2022-02-07 17:02:16,796:INFO:Scoring test/hold-out set
  21913. 2022-02-07 17:02:16,951:INFO:Visual Rendered Successfully
  21914. 2022-02-07 17:02:17,051:INFO:plot_model() succesfully completed......................................
  21915. 2022-02-07 17:02:25,458:INFO:Initializing plot_model()
  21916. 2022-02-07 17:02:25,458:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21917. colsample_bynode=1, colsample_bytree=0.6,
  21918. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21919. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21920. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21921. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21922. num_parallel_tree=1, objective='binary:logistic',
  21923. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21924. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21925. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  21926. 2022-02-07 17:02:25,458:INFO:Checking exceptions
  21927. 2022-02-07 17:02:25,461:INFO:Preparing display monitor
  21928. 2022-02-07 17:02:25,465:INFO:Preloading libraries
  21929. 2022-02-07 17:02:25,767:INFO:Copying training dataset
  21930. 2022-02-07 17:02:25,769:INFO:Copying test dataset
  21931. 2022-02-07 17:02:25,769:INFO:Plot type: lift
  21932. 2022-02-07 17:02:25,776:INFO:Generating predictions / predict_proba on X_test
  21933. 2022-02-07 17:02:26,209:INFO:Visual Rendered Successfully
  21934. 2022-02-07 17:02:26,319:INFO:plot_model() succesfully completed......................................
  21935. 2022-02-07 17:02:29,212:INFO:Initializing plot_model()
  21936. 2022-02-07 17:02:29,212:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21937. colsample_bynode=1, colsample_bytree=0.6,
  21938. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21939. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21940. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21941. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21942. num_parallel_tree=1, objective='binary:logistic',
  21943. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21944. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21945. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  21946. 2022-02-07 17:02:29,212:INFO:Checking exceptions
  21947. 2022-02-07 17:02:29,215:INFO:Preparing display monitor
  21948. 2022-02-07 17:02:29,219:INFO:Preloading libraries
  21949. 2022-02-07 17:02:29,519:INFO:Copying training dataset
  21950. 2022-02-07 17:02:29,521:INFO:Copying test dataset
  21951. 2022-02-07 17:02:29,521:INFO:Plot type: gain
  21952. 2022-02-07 17:02:29,528:INFO:Generating predictions / predict_proba on X_test
  21953. 2022-02-07 17:02:29,953:INFO:Visual Rendered Successfully
  21954. 2022-02-07 17:02:30,057:INFO:plot_model() succesfully completed......................................
  21955. 2022-02-07 17:02:40,994:INFO:Initializing plot_model()
  21956. 2022-02-07 17:02:40,994:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21957. colsample_bynode=1, colsample_bytree=0.6,
  21958. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21959. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21960. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21961. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21962. num_parallel_tree=1, objective='binary:logistic',
  21963. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21964. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21965. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=vc, plot_kwargs={}, save=False, scale=1, system=True)
  21966. 2022-02-07 17:02:40,994:INFO:Checking exceptions
  21967. 2022-02-07 17:02:40,997:INFO:Preparing display monitor
  21968. 2022-02-07 17:02:41,001:INFO:Preloading libraries
  21969. 2022-02-07 17:02:41,302:INFO:Copying training dataset
  21970. 2022-02-07 17:02:41,303:INFO:Copying test dataset
  21971. 2022-02-07 17:02:41,303:INFO:Plot type: vc
  21972. 2022-02-07 17:02:41,310:INFO:Determining param_name
  21973. 2022-02-07 17:02:41,311:INFO:param_name: actual_estimator__max_depth
  21974. 2022-02-07 17:02:41,324:INFO:Fitting Model
  21975. 2022-02-07 17:04:10,018:INFO:Visual Rendered Successfully
  21976. 2022-02-07 17:04:10,123:INFO:plot_model() succesfully completed......................................
  21977. 2022-02-07 17:04:35,286:INFO:Initializing plot_model()
  21978. 2022-02-07 17:04:35,286:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21979. colsample_bynode=1, colsample_bytree=0.6,
  21980. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21981. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21982. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21983. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21984. num_parallel_tree=1, objective='binary:logistic',
  21985. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21986. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21987. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  21988. 2022-02-07 17:04:35,287:INFO:Checking exceptions
  21989. 2022-02-07 17:04:35,290:INFO:Preparing display monitor
  21990. 2022-02-07 17:04:35,294:INFO:Preloading libraries
  21991. 2022-02-07 17:04:35,602:INFO:Copying training dataset
  21992. 2022-02-07 17:04:35,603:INFO:Copying test dataset
  21993. 2022-02-07 17:04:35,604:INFO:Plot type: auc
  21994. 2022-02-07 17:04:35,610:INFO:Initializing get_config()
  21995. 2022-02-07 17:04:35,610:INFO:get_config(variable=prep_pipe)
  21996. 2022-02-07 17:04:35,614:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21997. steps=[('dtypes',
  21998. DataTypes_Auto_infer(categorical_features=[],
  21999. display_types=True, features_todrop=[],
  22000. id_columns=[],
  22001. ml_usecase='classification',
  22002. numerical_features=[], target='label',
  22003. time_features=[])),
  22004. ('imputer',
  22005. Simple_Imputer(categorical_strategy='not_available',
  22006. fill_value_categorical=None,
  22007. fill_value_numerical=None,
  22008. numeric_strate...
  22009. target='label')),
  22010. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22011. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22012. ('dummy', Dummify(target='label')),
  22013. ('fix_perfect', Remove_100(target='label')),
  22014. ('clean_names', Clean_Colum_Names()),
  22015. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22016. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22017. verbose=False)
  22018. 2022-02-07 17:04:35,614:INFO:get_config() succesfully completed......................................
  22019. 2022-02-07 17:04:35,622:INFO:Fitting Model
  22020. 2022-02-07 17:04:35,623:INFO:Scoring test/hold-out set
  22021. 2022-02-07 17:04:35,770:INFO:Visual Rendered Successfully
  22022. 2022-02-07 17:04:35,870:INFO:plot_model() succesfully completed......................................
  22023. 2022-02-07 17:04:38,824:INFO:Initializing plot_model()
  22024. 2022-02-07 17:04:38,824:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22025. colsample_bynode=1, colsample_bytree=0.6,
  22026. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22027. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22028. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22029. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22030. num_parallel_tree=1, objective='binary:logistic',
  22031. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22032. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22033. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=vc, plot_kwargs={}, save=False, scale=1, system=True)
  22034. 2022-02-07 17:04:38,824:INFO:Checking exceptions
  22035. 2022-02-07 17:04:38,828:INFO:Preparing display monitor
  22036. 2022-02-07 17:04:38,832:INFO:Preloading libraries
  22037. 2022-02-07 17:04:39,127:INFO:Copying training dataset
  22038. 2022-02-07 17:04:39,127:INFO:Copying test dataset
  22039. 2022-02-07 17:04:39,128:INFO:Plot type: vc
  22040. 2022-02-07 17:04:39,134:INFO:Determining param_name
  22041. 2022-02-07 17:04:39,135:INFO:param_name: actual_estimator__max_depth
  22042. 2022-02-07 17:04:39,143:INFO:Fitting Model
  22043. 2022-02-07 17:06:06,017:INFO:Visual Rendered Successfully
  22044. 2022-02-07 17:06:06,123:INFO:plot_model() succesfully completed......................................
  22045. 2022-02-07 17:06:34,598:INFO:Initializing predict_model()
  22046. 2022-02-07 17:06:34,598:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22047. colsample_bynode=1, colsample_bytree=0.6,
  22048. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22049. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22050. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22051. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22052. num_parallel_tree=1, objective='binary:logistic',
  22053. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22054. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22055. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22056. 2022-02-07 17:06:34,598:INFO:Checking exceptions
  22057. 2022-02-07 17:06:34,598:INFO:Preloading libraries
  22058. 2022-02-07 17:06:34,598:INFO:Preparing display monitor
  22059. 2022-02-08 09:39:59,359:INFO:Initializing predict_model()
  22060. 2022-02-08 09:39:59,359:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22061. colsample_bynode=1, colsample_bytree=0.6,
  22062. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22063. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22064. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22065. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22066. num_parallel_tree=1, objective='binary:logistic',
  22067. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22068. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22069. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22070. 2022-02-08 09:39:59,359:INFO:Checking exceptions
  22071. 2022-02-08 09:39:59,359:INFO:Preloading libraries
  22072. 2022-02-08 09:39:59,359:INFO:Preparing display monitor
  22073. 2022-02-08 09:40:21,354:INFO:Initializing predict_model()
  22074. 2022-02-08 09:40:21,355:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22075. colsample_bynode=1, colsample_bytree=0.6,
  22076. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22077. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22078. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22079. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22080. num_parallel_tree=1, objective='binary:logistic',
  22081. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22082. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22083. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22084. 2022-02-08 09:40:21,355:INFO:Checking exceptions
  22085. 2022-02-08 09:40:21,355:INFO:Preloading libraries
  22086. 2022-02-08 09:40:21,355:INFO:Preparing display monitor
  22087. 2022-02-08 09:41:04,152:INFO:Initializing predict_model()
  22088. 2022-02-08 09:41:04,152:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22089. colsample_bynode=1, colsample_bytree=0.6,
  22090. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22091. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22092. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22093. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22094. num_parallel_tree=1, objective='binary:logistic',
  22095. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22096. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22097. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22098. 2022-02-08 09:41:04,152:INFO:Checking exceptions
  22099. 2022-02-08 09:41:04,153:INFO:Preloading libraries
  22100. 2022-02-08 09:41:04,153:INFO:Preparing display monitor
  22101. 2022-02-08 09:41:07,602:INFO:Initializing predict_model()
  22102. 2022-02-08 09:41:07,602:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22103. colsample_bynode=1, colsample_bytree=0.6,
  22104. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22105. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22106. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22107. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22108. num_parallel_tree=1, objective='binary:logistic',
  22109. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22110. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22111. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22112. 2022-02-08 09:41:07,602:INFO:Checking exceptions
  22113. 2022-02-08 09:41:07,602:INFO:Preloading libraries
  22114. 2022-02-08 09:41:07,603:INFO:Preparing display monitor
  22115. 2022-02-08 09:41:35,620:INFO:Initializing predict_model()
  22116. 2022-02-08 09:41:35,621:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22117. colsample_bynode=1, colsample_bytree=0.6,
  22118. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22119. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22120. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22121. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22122. num_parallel_tree=1, objective='binary:logistic',
  22123. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22124. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22125. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22126. 2022-02-08 09:41:35,621:INFO:Checking exceptions
  22127. 2022-02-08 09:41:35,621:INFO:Preloading libraries
  22128. 2022-02-08 09:41:35,621:INFO:Preparing display monitor
  22129. 2022-02-08 09:41:44,516:INFO:Initializing predict_model()
  22130. 2022-02-08 09:41:44,516:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22131. colsample_bynode=1, colsample_bytree=0.6,
  22132. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22133. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22134. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22135. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22136. num_parallel_tree=1, objective='binary:logistic',
  22137. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22138. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22139. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22140. 2022-02-08 09:41:44,516:INFO:Checking exceptions
  22141. 2022-02-08 09:41:44,516:INFO:Preloading libraries
  22142. 2022-02-08 09:41:44,516:INFO:Preparing display monitor
  22143. 2022-02-08 09:42:08,746:INFO:Initializing predict_model()
  22144. 2022-02-08 09:42:08,746:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22145. colsample_bynode=1, colsample_bytree=0.6,
  22146. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22147. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22148. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22149. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22150. num_parallel_tree=1, objective='binary:logistic',
  22151. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22152. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22153. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22154. 2022-02-08 09:42:08,746:INFO:Checking exceptions
  22155. 2022-02-08 09:42:08,746:INFO:Preloading libraries
  22156. 2022-02-08 09:42:08,746:INFO:Preparing display monitor
  22157. 2022-02-08 09:42:19,789:INFO:Initializing predict_model()
  22158. 2022-02-08 09:42:19,789:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22159. colsample_bynode=1, colsample_bytree=0.6,
  22160. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22161. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22162. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22163. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22164. num_parallel_tree=1, objective='binary:logistic',
  22165. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22166. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22167. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22168. 2022-02-08 09:42:19,789:INFO:Checking exceptions
  22169. 2022-02-08 09:42:19,789:INFO:Preloading libraries
  22170. 2022-02-08 09:42:19,789:INFO:Preparing display monitor
  22171. 2022-02-08 09:42:26,235:INFO:Initializing predict_model()
  22172. 2022-02-08 09:42:26,235:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22173. colsample_bynode=1, colsample_bytree=0.6,
  22174. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22175. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22176. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22177. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22178. num_parallel_tree=1, objective='binary:logistic',
  22179. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22180. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22181. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22182. 2022-02-08 09:42:26,235:INFO:Checking exceptions
  22183. 2022-02-08 09:42:26,235:INFO:Preloading libraries
  22184. 2022-02-08 09:42:26,235:INFO:Preparing display monitor
  22185. 2022-02-08 16:02:29,206:INFO:PyCaret Supervised Module
  22186. 2022-02-08 16:02:29,206:INFO:ML Usecase: classification
  22187. 2022-02-08 16:02:29,206:INFO:version 2.3.6
  22188. 2022-02-08 16:02:29,206:INFO:Initializing setup()
  22189. 2022-02-08 16:02:29,206:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22190. 2022-02-08 16:02:29,206:INFO:Checking environment
  22191. 2022-02-08 16:02:29,207:INFO:python_version: 3.8.12
  22192. 2022-02-08 16:02:29,207:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  22193. 2022-02-08 16:02:29,207:INFO:machine: AMD64
  22194. 2022-02-08 16:02:29,207:INFO:platform: Windows-10-10.0.22000-SP0
  22195. 2022-02-08 16:02:29,207:INFO:Memory: svmem(total=68629372928, available=49740906496, percent=27.5, used=18888466432, free=49740906496)
  22196. 2022-02-08 16:02:29,207:INFO:Physical Core: 16
  22197. 2022-02-08 16:02:29,207:INFO:Logical Core: 32
  22198. 2022-02-08 16:02:29,207:INFO:Checking libraries
  22199. 2022-02-08 16:02:29,207:INFO:pd==1.3.5
  22200. 2022-02-08 16:02:29,207:INFO:numpy==1.21.5
  22201. 2022-02-08 16:02:29,207:INFO:sklearn==0.23.2
  22202. 2022-02-08 16:02:29,207:INFO:lightgbm==3.3.2
  22203. 2022-02-08 16:02:29,412:INFO:catboost==1.0.4
  22204. 2022-02-08 16:02:29,748:INFO:xgboost==1.5.2
  22205. 2022-02-08 16:02:30,046:INFO:mlflow==1.23.1
  22206. 2022-02-08 16:02:30,047:INFO:Checking Exceptions
  22207. 2022-02-08 16:02:30,047:INFO:Declaring global variables
  22208. 2022-02-08 16:02:30,047:INFO:USI: a3a1
  22209. 2022-02-08 16:02:30,047:INFO:pycaret_globals: {'fix_imbalance_method_param', 'seed', 'imputation_classifier', 'fold_param', 'imputation_regressor', 'fix_imbalance_param', '_available_plots', 'exp_name_log', '_all_models', 'master_model_container', 'create_model_container', 'iterative_imputation_iters_param', 'USI', 'display_container', 'log_plots_param', 'data_before_preprocess', 'transform_target_param', 'prep_pipe', 'y_train', 'experiment__', 'X_train', 'pycaret_globals', 'X_test', 'target_param', 'fold_generator', 'fold_groups_param', 'X', '_internal_pipeline', 'fold_shuffle_param', '_all_metrics', 'fold_groups_param_full', '_all_models_internal', 'y', 'logging_param', 'y_test', '_gpu_n_jobs_param', 'n_jobs_param', '_ml_usecase', 'gpu_param', 'html_param', 'stratify_param', 'transform_target_method_param'}
  22210. 2022-02-08 16:02:30,047:INFO:Preparing display monitor
  22211. 2022-02-08 16:02:30,047:INFO:Preparing display monitor
  22212. 2022-02-08 16:02:30,057:INFO:Importing libraries
  22213. 2022-02-08 16:02:30,057:INFO:Copying data for preprocessing
  22214. 2022-02-08 16:02:30,062:INFO:Declaring preprocessing parameters
  22215. 2022-02-08 16:02:30,063:WARNING:cuML not found
  22216. 2022-02-08 16:02:30,063:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  22217. 2022-02-08 16:02:30,066:INFO:Creating preprocessing pipeline
  22218. 2022-02-08 16:02:30,118:INFO:Preprocessing pipeline created successfully
  22219. 2022-02-08 16:02:30,118:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22220. 2022-02-08 16:02:30,118:INFO:Creating global containers
  22221. 2022-02-08 16:02:30,121:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22222. 2022-02-08 16:02:31,384:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22223. 2022-02-08 16:02:31,419:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22224. 2022-02-08 16:02:31,421:WARNING:Couldn't import cuml.MBSGDClassifier
  22225. 2022-02-08 16:02:31,422:WARNING:Couldn't import cuml.svm.SVC
  22226. 2022-02-08 16:02:31,443:WARNING:Couldn't import cuml.linear_model
  22227. 2022-02-08 16:02:31,447:WARNING:Couldn't import cuml.ensemble
  22228. 2022-02-08 16:02:31,855:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22229. 2022-02-08 16:02:31,917:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22230. 2022-02-08 16:02:31,918:WARNING:Couldn't import cuml.MBSGDClassifier
  22231. 2022-02-08 16:02:31,919:WARNING:Couldn't import cuml.svm.SVC
  22232. 2022-02-08 16:02:31,952:WARNING:Couldn't import cuml.linear_model
  22233. 2022-02-08 16:02:31,956:WARNING:Couldn't import cuml.ensemble
  22234. 2022-02-08 16:02:32,098:INFO:Creating grid variables
  22235. 2022-02-08 16:02:32,111:INFO:create_model_container: 0
  22236. 2022-02-08 16:02:32,111:INFO:master_model_container: 0
  22237. 2022-02-08 16:02:32,111:INFO:display_container: 1
  22238. 2022-02-08 16:02:32,117:INFO:Pipeline(memory=None,
  22239. steps=[('dtypes',
  22240. DataTypes_Auto_infer(categorical_features=[],
  22241. display_types=True, features_todrop=[],
  22242. id_columns=[],
  22243. ml_usecase='classification',
  22244. numerical_features=[], target='label',
  22245. time_features=[])),
  22246. ('imputer',
  22247. Simple_Imputer(categorical_strategy='not_available',
  22248. fill_value_categorical=None,
  22249. fill_value_numerical=None,
  22250. numeric_strate...
  22251. target='label')),
  22252. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22253. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22254. ('dummy', Dummify(target='label')),
  22255. ('fix_perfect', Remove_100(target='label')),
  22256. ('clean_names', Clean_Colum_Names()),
  22257. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22258. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22259. verbose=False)
  22260. 2022-02-08 16:02:32,117:INFO:setup() succesfully completed......................................
  22261. 2022-02-08 16:03:55,539:INFO:Initializing load_model()
  22262. 2022-02-08 16:03:55,539:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22263. 2022-02-08 16:03:55,794:INFO:Initializing predict_model()
  22264. 2022-02-08 16:03:55,794:INFO:predict_model(estimator=Pipeline(memory=None,
  22265. steps=[('dtypes',
  22266. DataTypes_Auto_infer(categorical_features=[],
  22267. display_types=True, features_todrop=[],
  22268. id_columns=[],
  22269. ml_usecase='classification',
  22270. numerical_features=[], target='label',
  22271. time_features=[])),
  22272. ('imputer',
  22273. Simple_Imputer(categorical_strategy='not_available',
  22274. fill_value_categorical=None,
  22275. fill_value_numerical=None,
  22276. numeric_strate...
  22277. max_delta_step=0, max_depth=128, max_leaves=1024,
  22278. min_child_weight=1, missing=nan,
  22279. monotone_constraints='()', n_estimators=100,
  22280. n_jobs=-1, num_parallel_tree=1,
  22281. objective='binary:logistic', predictor='auto',
  22282. random_state=8985, reg_alpha=0, reg_lambda=1,
  22283. scale_pos_weight=1, subsample=1,
  22284. tree_method='gpu_hist', use_label_encoder=True,
  22285. validate_parameters=1, ...)]],
  22286. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22287. 2022-02-08 16:03:55,794:INFO:Checking exceptions
  22288. 2022-02-08 16:03:55,794:INFO:Preloading libraries
  22289. 2022-02-08 16:03:55,794:INFO:Preparing display monitor
  22290. 2022-02-08 16:04:11,126:INFO:Initializing load_model()
  22291. 2022-02-08 16:04:11,126:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22292. 2022-02-08 16:04:11,305:INFO:Initializing predict_model()
  22293. 2022-02-08 16:04:11,305:INFO:predict_model(estimator=Pipeline(memory=None,
  22294. steps=[('dtypes',
  22295. DataTypes_Auto_infer(categorical_features=[],
  22296. display_types=True, features_todrop=[],
  22297. id_columns=[],
  22298. ml_usecase='classification',
  22299. numerical_features=[], target='label',
  22300. time_features=[])),
  22301. ('imputer',
  22302. Simple_Imputer(categorical_strategy='not_available',
  22303. fill_value_categorical=None,
  22304. fill_value_numerical=None,
  22305. numeric_strate...
  22306. max_delta_step=0, max_depth=128, max_leaves=1024,
  22307. min_child_weight=1, missing=nan,
  22308. monotone_constraints='()', n_estimators=100,
  22309. n_jobs=-1, num_parallel_tree=1,
  22310. objective='binary:logistic', predictor='auto',
  22311. random_state=8985, reg_alpha=0, reg_lambda=1,
  22312. scale_pos_weight=1, subsample=1,
  22313. tree_method='gpu_hist', use_label_encoder=True,
  22314. validate_parameters=1, ...)]],
  22315. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22316. 2022-02-08 16:04:11,306:INFO:Checking exceptions
  22317. 2022-02-08 16:04:11,306:INFO:Preloading libraries
  22318. 2022-02-08 16:04:11,306:INFO:Preparing display monitor
  22319. 2022-02-08 16:04:27,078:INFO:Initializing load_model()
  22320. 2022-02-08 16:04:27,078:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22321. 2022-02-08 16:04:27,259:INFO:Initializing predict_model()
  22322. 2022-02-08 16:04:27,259:INFO:predict_model(estimator=Pipeline(memory=None,
  22323. steps=[('dtypes',
  22324. DataTypes_Auto_infer(categorical_features=[],
  22325. display_types=True, features_todrop=[],
  22326. id_columns=[],
  22327. ml_usecase='classification',
  22328. numerical_features=[], target='label',
  22329. time_features=[])),
  22330. ('imputer',
  22331. Simple_Imputer(categorical_strategy='not_available',
  22332. fill_value_categorical=None,
  22333. fill_value_numerical=None,
  22334. numeric_strate...
  22335. max_delta_step=0, max_depth=128, max_leaves=1024,
  22336. min_child_weight=1, missing=nan,
  22337. monotone_constraints='()', n_estimators=100,
  22338. n_jobs=-1, num_parallel_tree=1,
  22339. objective='binary:logistic', predictor='auto',
  22340. random_state=8985, reg_alpha=0, reg_lambda=1,
  22341. scale_pos_weight=1, subsample=1,
  22342. tree_method='gpu_hist', use_label_encoder=True,
  22343. validate_parameters=1, ...)]],
  22344. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22345. 2022-02-08 16:04:27,259:INFO:Checking exceptions
  22346. 2022-02-08 16:04:27,259:INFO:Preloading libraries
  22347. 2022-02-08 16:04:27,259:INFO:Preparing display monitor
  22348. 2022-02-08 16:04:59,823:INFO:Initializing load_model()
  22349. 2022-02-08 16:04:59,823:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22350. 2022-02-08 16:05:00,016:INFO:Initializing predict_model()
  22351. 2022-02-08 16:05:00,016:INFO:predict_model(estimator=Pipeline(memory=None,
  22352. steps=[('dtypes',
  22353. DataTypes_Auto_infer(categorical_features=[],
  22354. display_types=True, features_todrop=[],
  22355. id_columns=[],
  22356. ml_usecase='classification',
  22357. numerical_features=[], target='label',
  22358. time_features=[])),
  22359. ('imputer',
  22360. Simple_Imputer(categorical_strategy='not_available',
  22361. fill_value_categorical=None,
  22362. fill_value_numerical=None,
  22363. numeric_strate...
  22364. max_delta_step=0, max_depth=128, max_leaves=1024,
  22365. min_child_weight=1, missing=nan,
  22366. monotone_constraints='()', n_estimators=100,
  22367. n_jobs=-1, num_parallel_tree=1,
  22368. objective='binary:logistic', predictor='auto',
  22369. random_state=8985, reg_alpha=0, reg_lambda=1,
  22370. scale_pos_weight=1, subsample=1,
  22371. tree_method='gpu_hist', use_label_encoder=True,
  22372. validate_parameters=1, ...)]],
  22373. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22374. 2022-02-08 16:05:00,016:INFO:Checking exceptions
  22375. 2022-02-08 16:05:00,016:INFO:Preloading libraries
  22376. 2022-02-08 16:05:00,016:INFO:Preparing display monitor
  22377. 2022-02-08 16:05:07,611:INFO:Initializing load_model()
  22378. 2022-02-08 16:05:07,612:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22379. 2022-02-08 16:05:07,794:INFO:Initializing predict_model()
  22380. 2022-02-08 16:05:07,794:INFO:predict_model(estimator=Pipeline(memory=None,
  22381. steps=[('dtypes',
  22382. DataTypes_Auto_infer(categorical_features=[],
  22383. display_types=True, features_todrop=[],
  22384. id_columns=[],
  22385. ml_usecase='classification',
  22386. numerical_features=[], target='label',
  22387. time_features=[])),
  22388. ('imputer',
  22389. Simple_Imputer(categorical_strategy='not_available',
  22390. fill_value_categorical=None,
  22391. fill_value_numerical=None,
  22392. numeric_strate...
  22393. max_delta_step=0, max_depth=128, max_leaves=1024,
  22394. min_child_weight=1, missing=nan,
  22395. monotone_constraints='()', n_estimators=100,
  22396. n_jobs=-1, num_parallel_tree=1,
  22397. objective='binary:logistic', predictor='auto',
  22398. random_state=8985, reg_alpha=0, reg_lambda=1,
  22399. scale_pos_weight=1, subsample=1,
  22400. tree_method='gpu_hist', use_label_encoder=True,
  22401. validate_parameters=1, ...)]],
  22402. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22403. 2022-02-08 16:05:07,794:INFO:Checking exceptions
  22404. 2022-02-08 16:05:07,794:INFO:Preloading libraries
  22405. 2022-02-08 16:05:07,794:INFO:Preparing display monitor
  22406. 2022-02-08 16:05:12,357:INFO:Initializing load_model()
  22407. 2022-02-08 16:05:12,357:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22408. 2022-02-08 16:05:12,540:INFO:Initializing predict_model()
  22409. 2022-02-08 16:05:12,540:INFO:predict_model(estimator=Pipeline(memory=None,
  22410. steps=[('dtypes',
  22411. DataTypes_Auto_infer(categorical_features=[],
  22412. display_types=True, features_todrop=[],
  22413. id_columns=[],
  22414. ml_usecase='classification',
  22415. numerical_features=[], target='label',
  22416. time_features=[])),
  22417. ('imputer',
  22418. Simple_Imputer(categorical_strategy='not_available',
  22419. fill_value_categorical=None,
  22420. fill_value_numerical=None,
  22421. numeric_strate...
  22422. max_delta_step=0, max_depth=128, max_leaves=1024,
  22423. min_child_weight=1, missing=nan,
  22424. monotone_constraints='()', n_estimators=100,
  22425. n_jobs=-1, num_parallel_tree=1,
  22426. objective='binary:logistic', predictor='auto',
  22427. random_state=8985, reg_alpha=0, reg_lambda=1,
  22428. scale_pos_weight=1, subsample=1,
  22429. tree_method='gpu_hist', use_label_encoder=True,
  22430. validate_parameters=1, ...)]],
  22431. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22432. 2022-02-08 16:05:12,540:INFO:Checking exceptions
  22433. 2022-02-08 16:05:12,540:INFO:Preloading libraries
  22434. 2022-02-08 16:05:12,540:INFO:Preparing display monitor
  22435. 2022-02-08 16:05:21,474:INFO:Initializing load_model()
  22436. 2022-02-08 16:05:21,474:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22437. 2022-02-08 16:05:21,657:INFO:Initializing predict_model()
  22438. 2022-02-08 16:05:21,657:INFO:predict_model(estimator=Pipeline(memory=None,
  22439. steps=[('dtypes',
  22440. DataTypes_Auto_infer(categorical_features=[],
  22441. display_types=True, features_todrop=[],
  22442. id_columns=[],
  22443. ml_usecase='classification',
  22444. numerical_features=[], target='label',
  22445. time_features=[])),
  22446. ('imputer',
  22447. Simple_Imputer(categorical_strategy='not_available',
  22448. fill_value_categorical=None,
  22449. fill_value_numerical=None,
  22450. numeric_strate...
  22451. max_delta_step=0, max_depth=128, max_leaves=1024,
  22452. min_child_weight=1, missing=nan,
  22453. monotone_constraints='()', n_estimators=100,
  22454. n_jobs=-1, num_parallel_tree=1,
  22455. objective='binary:logistic', predictor='auto',
  22456. random_state=8985, reg_alpha=0, reg_lambda=1,
  22457. scale_pos_weight=1, subsample=1,
  22458. tree_method='gpu_hist', use_label_encoder=True,
  22459. validate_parameters=1, ...)]],
  22460. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22461. 2022-02-08 16:05:21,657:INFO:Checking exceptions
  22462. 2022-02-08 16:05:21,657:INFO:Preloading libraries
  22463. 2022-02-08 16:05:21,657:INFO:Preparing display monitor
  22464. 2022-02-08 16:15:36,621:INFO:PyCaret Supervised Module
  22465. 2022-02-08 16:15:36,621:INFO:ML Usecase: classification
  22466. 2022-02-08 16:15:36,621:INFO:version 2.3.6
  22467. 2022-02-08 16:15:36,621:INFO:Initializing setup()
  22468. 2022-02-08 16:15:36,622:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22469. 2022-02-08 16:15:36,622:INFO:Checking environment
  22470. 2022-02-08 16:15:36,622:INFO:python_version: 3.8.8
  22471. 2022-02-08 16:15:36,622:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22472. 2022-02-08 16:15:36,622:INFO:machine: x86_64
  22473. 2022-02-08 16:15:36,622:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22474. 2022-02-08 16:15:36,622:INFO:Memory: svmem(total=33619935232, available=30344781824, percent=9.7, used=2479808512, free=28949843968, active=691589120, inactive=3508965376, buffers=246317056, cached=1943965696, shared=383373312, slab=189956096)
  22475. 2022-02-08 16:15:36,623:INFO:Physical Core: 16
  22476. 2022-02-08 16:15:36,624:INFO:Logical Core: 32
  22477. 2022-02-08 16:15:36,624:INFO:Checking libraries
  22478. 2022-02-08 16:15:36,624:INFO:pd==1.2.4
  22479. 2022-02-08 16:15:36,624:INFO:numpy==1.19.5
  22480. 2022-02-08 16:15:36,624:INFO:sklearn==0.23.2
  22481. 2022-02-08 16:15:36,624:INFO:lightgbm==3.3.2
  22482. 2022-02-08 16:15:36,625:WARNING:catboost not found
  22483. 2022-02-08 16:15:36,661:INFO:xgboost==1.5.2
  22484. 2022-02-08 16:15:36,788:INFO:mlflow==1.22.0
  22485. 2022-02-08 16:15:36,789:INFO:Checking Exceptions
  22486. 2022-02-08 16:15:36,790:INFO:Declaring global variables
  22487. 2022-02-08 16:15:36,790:INFO:USI: 1750
  22488. 2022-02-08 16:15:36,791:INFO:pycaret_globals: {'experiment__', 'logging_param', 'y_test', 'imputation_classifier', 'exp_name_log', 'USI', 'X_test', '_all_metrics', 'master_model_container', 'n_jobs_param', '_ml_usecase', '_all_models', 'transform_target_param', '_internal_pipeline', 'fix_imbalance_param', 'pycaret_globals', 'y_train', 'fold_generator', 'prep_pipe', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param_full', 'seed', 'iterative_imputation_iters_param', 'imputation_regressor', 'X', 'fold_param', '_gpu_n_jobs_param', 'stratify_param', 'target_param', 'display_container', '_all_models_internal', 'fold_groups_param', 'y', 'html_param', '_available_plots', 'log_plots_param', 'transform_target_method_param', 'create_model_container', 'X_train', 'gpu_param', 'fix_imbalance_method_param'}
  22489. 2022-02-08 16:15:36,791:INFO:Preparing display monitor
  22490. 2022-02-08 16:15:36,791:INFO:Preparing display monitor
  22491. 2022-02-08 16:15:36,804:INFO:Importing libraries
  22492. 2022-02-08 16:15:36,804:INFO:Copying data for preprocessing
  22493. 2022-02-08 16:15:36,812:INFO:Declaring preprocessing parameters
  22494. 2022-02-08 16:15:36,817:INFO:Creating preprocessing pipeline
  22495. 2022-02-08 16:15:36,866:INFO:Preprocessing pipeline created successfully
  22496. 2022-02-08 16:15:36,866:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22497. 2022-02-08 16:15:36,866:INFO:Creating global containers
  22498. 2022-02-08 16:15:36,868:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22499. 2022-02-08 16:15:38,889:WARNING:Couldn't import catboost.CatBoostClassifier
  22500. 2022-02-08 16:15:38,935:WARNING:Couldn't import catboost.CatBoostClassifier
  22501. 2022-02-08 16:15:38,936:INFO:Creating grid variables
  22502. 2022-02-08 16:15:38,946:INFO:create_model_container: 0
  22503. 2022-02-08 16:15:38,946:INFO:master_model_container: 0
  22504. 2022-02-08 16:15:38,946:INFO:display_container: 1
  22505. 2022-02-08 16:15:38,949:INFO:Pipeline(memory=None,
  22506. steps=[('dtypes',
  22507. DataTypes_Auto_infer(categorical_features=[],
  22508. display_types=True, features_todrop=[],
  22509. id_columns=[],
  22510. ml_usecase='classification',
  22511. numerical_features=[], target='label',
  22512. time_features=[])),
  22513. ('imputer',
  22514. Simple_Imputer(categorical_strategy='not_available',
  22515. fill_value_categorical=None,
  22516. fill_value_numerical=None,
  22517. numeric_strate...
  22518. target='label')),
  22519. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22520. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22521. ('dummy', Dummify(target='label')),
  22522. ('fix_perfect', Remove_100(target='label')),
  22523. ('clean_names', Clean_Colum_Names()),
  22524. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22525. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22526. verbose=False)
  22527. 2022-02-08 16:15:38,949:INFO:setup() succesfully completed......................................
  22528. 2022-02-08 16:15:47,477:INFO:Initializing load_model()
  22529. 2022-02-08 16:15:47,477:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22530. 2022-02-08 16:16:34,967:INFO:PyCaret Supervised Module
  22531. 2022-02-08 16:16:34,967:INFO:ML Usecase: classification
  22532. 2022-02-08 16:16:34,968:INFO:version 2.3.6
  22533. 2022-02-08 16:16:34,968:INFO:Initializing setup()
  22534. 2022-02-08 16:16:34,968:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22535. 2022-02-08 16:16:34,968:INFO:Checking environment
  22536. 2022-02-08 16:16:34,969:INFO:python_version: 3.8.8
  22537. 2022-02-08 16:16:34,969:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22538. 2022-02-08 16:16:34,969:INFO:machine: x86_64
  22539. 2022-02-08 16:16:34,969:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22540. 2022-02-08 16:16:34,969:INFO:Memory: svmem(total=33619935232, available=30241427456, percent=10.0, used=2582982656, free=28838076416, active=691761152, inactive=3619647488, buffers=246452224, cached=1952423936, shared=383373312, slab=190590976)
  22541. 2022-02-08 16:16:34,970:INFO:Physical Core: 16
  22542. 2022-02-08 16:16:34,970:INFO:Logical Core: 32
  22543. 2022-02-08 16:16:34,970:INFO:Checking libraries
  22544. 2022-02-08 16:16:34,970:INFO:pd==1.2.4
  22545. 2022-02-08 16:16:34,971:INFO:numpy==1.19.5
  22546. 2022-02-08 16:16:34,971:INFO:sklearn==0.23.2
  22547. 2022-02-08 16:16:34,971:INFO:lightgbm==3.3.2
  22548. 2022-02-08 16:16:34,971:WARNING:catboost not found
  22549. 2022-02-08 16:16:34,972:INFO:xgboost==1.5.2
  22550. 2022-02-08 16:16:34,972:INFO:mlflow==1.22.0
  22551. 2022-02-08 16:16:34,972:INFO:Checking Exceptions
  22552. 2022-02-08 16:16:34,972:INFO:Declaring global variables
  22553. 2022-02-08 16:16:34,972:INFO:USI: 841b
  22554. 2022-02-08 16:16:34,972:INFO:pycaret_globals: {'experiment__', 'logging_param', 'y_test', 'imputation_classifier', 'exp_name_log', 'USI', 'X_test', '_all_metrics', 'master_model_container', 'n_jobs_param', '_ml_usecase', '_all_models', 'transform_target_param', '_internal_pipeline', 'fix_imbalance_param', 'pycaret_globals', 'y_train', 'fold_generator', 'prep_pipe', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param_full', 'seed', 'iterative_imputation_iters_param', 'imputation_regressor', 'X', 'fold_param', '_gpu_n_jobs_param', 'stratify_param', 'target_param', 'display_container', '_all_models_internal', 'fold_groups_param', 'y', 'html_param', '_available_plots', 'log_plots_param', 'transform_target_method_param', 'create_model_container', 'X_train', 'gpu_param', 'fix_imbalance_method_param'}
  22555. 2022-02-08 16:16:34,972:INFO:Preparing display monitor
  22556. 2022-02-08 16:16:34,973:INFO:Preparing display monitor
  22557. 2022-02-08 16:16:34,980:INFO:Importing libraries
  22558. 2022-02-08 16:16:34,980:INFO:Copying data for preprocessing
  22559. 2022-02-08 16:16:34,986:INFO:Declaring preprocessing parameters
  22560. 2022-02-08 16:16:34,986:WARNING:cuML not found
  22561. 2022-02-08 16:16:34,987:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  22562. 2022-02-08 16:16:34,989:INFO:Creating preprocessing pipeline
  22563. 2022-02-08 16:16:35,034:INFO:Preprocessing pipeline created successfully
  22564. 2022-02-08 16:16:35,034:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22565. 2022-02-08 16:16:35,034:INFO:Creating global containers
  22566. 2022-02-08 16:16:35,035:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22567. 2022-02-08 16:16:36,864:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22568. 2022-02-08 16:16:36,892:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22569. 2022-02-08 16:16:36,892:WARNING:Couldn't import cuml.MBSGDClassifier
  22570. 2022-02-08 16:16:36,893:WARNING:Couldn't import cuml.svm.SVC
  22571. 2022-02-08 16:16:36,907:WARNING:Couldn't import cuml.linear_model
  22572. 2022-02-08 16:16:36,910:WARNING:Couldn't import cuml.ensemble
  22573. 2022-02-08 16:16:36,927:WARNING:Couldn't import catboost.CatBoostClassifier
  22574. 2022-02-08 16:16:36,927:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22575. 2022-02-08 16:16:36,957:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22576. 2022-02-08 16:16:36,957:WARNING:Couldn't import cuml.MBSGDClassifier
  22577. 2022-02-08 16:16:36,958:WARNING:Couldn't import cuml.svm.SVC
  22578. 2022-02-08 16:16:36,972:WARNING:Couldn't import cuml.linear_model
  22579. 2022-02-08 16:16:36,975:WARNING:Couldn't import cuml.ensemble
  22580. 2022-02-08 16:16:36,981:WARNING:Couldn't import catboost.CatBoostClassifier
  22581. 2022-02-08 16:16:36,981:INFO:Creating grid variables
  22582. 2022-02-08 16:16:36,992:INFO:create_model_container: 0
  22583. 2022-02-08 16:16:36,992:INFO:master_model_container: 0
  22584. 2022-02-08 16:16:36,992:INFO:display_container: 1
  22585. 2022-02-08 16:16:36,995:INFO:Pipeline(memory=None,
  22586. steps=[('dtypes',
  22587. DataTypes_Auto_infer(categorical_features=[],
  22588. display_types=True, features_todrop=[],
  22589. id_columns=[],
  22590. ml_usecase='classification',
  22591. numerical_features=[], target='label',
  22592. time_features=[])),
  22593. ('imputer',
  22594. Simple_Imputer(categorical_strategy='not_available',
  22595. fill_value_categorical=None,
  22596. fill_value_numerical=None,
  22597. numeric_strate...
  22598. target='label')),
  22599. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22600. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22601. ('dummy', Dummify(target='label')),
  22602. ('fix_perfect', Remove_100(target='label')),
  22603. ('clean_names', Clean_Colum_Names()),
  22604. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22605. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22606. verbose=False)
  22607. 2022-02-08 16:16:36,995:INFO:setup() succesfully completed......................................
  22608. 2022-02-08 16:16:46,664:INFO:Initializing create_model()
  22609. 2022-02-08 16:16:46,664:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  22610. 2022-02-08 16:16:46,664:INFO:Checking exceptions
  22611. 2022-02-08 16:16:46,664:INFO:Preparing display monitor
  22612. 2022-02-08 16:16:46,675:INFO:Importing libraries
  22613. 2022-02-08 16:16:46,676:INFO:Copying training dataset
  22614. 2022-02-08 16:16:46,677:INFO:Defining folds
  22615. 2022-02-08 16:16:46,677:INFO:Declaring metric variables
  22616. 2022-02-08 16:16:46,682:INFO:Importing untrained model
  22617. 2022-02-08 16:16:46,687:INFO:Extreme Gradient Boosting Imported succesfully
  22618. 2022-02-08 16:16:46,697:INFO:Starting cross validation
  22619. 2022-02-08 16:16:46,698:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  22620. 2022-02-08 16:16:48,405:INFO:Calculating mean and std
  22621. 2022-02-08 16:16:48,406:INFO:Creating metrics dataframe
  22622. 2022-02-08 16:16:48,414:INFO:Finalizing model
  22623. 2022-02-08 16:38:00,304:INFO:PyCaret Supervised Module
  22624. 2022-02-08 16:38:00,305:INFO:ML Usecase: classification
  22625. 2022-02-08 16:38:00,305:INFO:version 2.3.6
  22626. 2022-02-08 16:38:00,305:INFO:Initializing setup()
  22627. 2022-02-08 16:38:00,305:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22628. 2022-02-08 16:38:00,306:INFO:Checking environment
  22629. 2022-02-08 16:38:00,306:INFO:python_version: 3.8.8
  22630. 2022-02-08 16:38:00,306:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22631. 2022-02-08 16:38:00,306:INFO:machine: x86_64
  22632. 2022-02-08 16:38:00,306:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22633. 2022-02-08 16:38:00,306:INFO:Memory: svmem(total=33619935232, available=30308790272, percent=9.8, used=2455097344, free=24520638464, active=842280960, inactive=7638839296, buffers=327450624, cached=6316748800, shared=383373312, slab=334921728)
  22634. 2022-02-08 16:38:00,307:INFO:Physical Core: 16
  22635. 2022-02-08 16:38:00,307:INFO:Logical Core: 32
  22636. 2022-02-08 16:38:00,308:INFO:Checking libraries
  22637. 2022-02-08 16:38:00,308:INFO:pd==1.2.4
  22638. 2022-02-08 16:38:00,308:INFO:numpy==1.19.5
  22639. 2022-02-08 16:38:00,308:INFO:sklearn==0.23.2
  22640. 2022-02-08 16:38:00,308:INFO:lightgbm==3.3.2
  22641. 2022-02-08 16:38:00,309:WARNING:catboost not found
  22642. 2022-02-08 16:38:00,320:INFO:xgboost==1.4.2
  22643. 2022-02-08 16:38:00,448:INFO:mlflow==1.22.0
  22644. 2022-02-08 16:38:00,449:INFO:Checking Exceptions
  22645. 2022-02-08 16:38:00,449:INFO:Declaring global variables
  22646. 2022-02-08 16:38:00,450:INFO:USI: 452f
  22647. 2022-02-08 16:38:00,450:INFO:pycaret_globals: {'pycaret_globals', 'USI', '_ml_usecase', 'data_before_preprocess', 'prep_pipe', 'gpu_param', 'exp_name_log', 'stratify_param', 'n_jobs_param', 'transform_target_method_param', 'fold_generator', '_all_models_internal', 'fix_imbalance_param', 'create_model_container', 'imputation_regressor', 'X', 'experiment__', 'display_container', 'fix_imbalance_method_param', 'y', 'y_train', '_all_metrics', 'fold_shuffle_param', 'y_test', 'log_plots_param', 'fold_param', '_internal_pipeline', 'master_model_container', 'seed', 'X_test', 'html_param', 'transform_target_param', 'fold_groups_param', '_gpu_n_jobs_param', 'fold_groups_param_full', '_all_models', 'target_param', '_available_plots', 'iterative_imputation_iters_param', 'logging_param', 'X_train', 'imputation_classifier'}
  22648. 2022-02-08 16:38:00,450:INFO:Preparing display monitor
  22649. 2022-02-08 16:38:00,450:INFO:Preparing display monitor
  22650. 2022-02-08 16:38:00,460:INFO:Importing libraries
  22651. 2022-02-08 16:38:00,460:INFO:Copying data for preprocessing
  22652. 2022-02-08 16:38:00,467:INFO:Declaring preprocessing parameters
  22653. 2022-02-08 16:38:00,468:WARNING:cuML not found
  22654. 2022-02-08 16:38:00,468:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  22655. 2022-02-08 16:38:00,474:INFO:Creating preprocessing pipeline
  22656. 2022-02-08 16:38:00,520:INFO:Preprocessing pipeline created successfully
  22657. 2022-02-08 16:38:00,520:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22658. 2022-02-08 16:38:00,521:INFO:Creating global containers
  22659. 2022-02-08 16:38:00,521:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22660. 2022-02-08 16:38:02,380:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22661. 2022-02-08 16:38:02,409:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22662. 2022-02-08 16:38:02,410:WARNING:Couldn't import cuml.MBSGDClassifier
  22663. 2022-02-08 16:38:02,411:WARNING:Couldn't import cuml.svm.SVC
  22664. 2022-02-08 16:38:02,428:WARNING:Couldn't import cuml.linear_model
  22665. 2022-02-08 16:38:02,431:WARNING:Couldn't import cuml.ensemble
  22666. 2022-02-08 16:38:02,441:WARNING:Couldn't import catboost.CatBoostClassifier
  22667. 2022-02-08 16:38:02,442:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22668. 2022-02-08 16:38:02,473:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22669. 2022-02-08 16:38:02,474:WARNING:Couldn't import cuml.MBSGDClassifier
  22670. 2022-02-08 16:38:02,475:WARNING:Couldn't import cuml.svm.SVC
  22671. 2022-02-08 16:38:02,490:WARNING:Couldn't import cuml.linear_model
  22672. 2022-02-08 16:38:02,493:WARNING:Couldn't import cuml.ensemble
  22673. 2022-02-08 16:38:02,501:WARNING:Couldn't import catboost.CatBoostClassifier
  22674. 2022-02-08 16:38:02,502:INFO:Creating grid variables
  22675. 2022-02-08 16:38:02,514:INFO:create_model_container: 0
  22676. 2022-02-08 16:38:02,514:INFO:master_model_container: 0
  22677. 2022-02-08 16:38:02,515:INFO:display_container: 1
  22678. 2022-02-08 16:38:02,518:INFO:Pipeline(memory=None,
  22679. steps=[('dtypes',
  22680. DataTypes_Auto_infer(categorical_features=[],
  22681. display_types=True, features_todrop=[],
  22682. id_columns=[],
  22683. ml_usecase='classification',
  22684. numerical_features=[], target='label',
  22685. time_features=[])),
  22686. ('imputer',
  22687. Simple_Imputer(categorical_strategy='not_available',
  22688. fill_value_categorical=None,
  22689. fill_value_numerical=None,
  22690. numeric_strate...
  22691. target='label')),
  22692. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22693. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22694. ('dummy', Dummify(target='label')),
  22695. ('fix_perfect', Remove_100(target='label')),
  22696. ('clean_names', Clean_Colum_Names()),
  22697. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22698. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22699. verbose=False)
  22700. 2022-02-08 16:38:02,518:INFO:setup() succesfully completed......................................
  22701. 2022-02-08 16:38:05,703:INFO:Initializing create_model()
  22702. 2022-02-08 16:38:05,704:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  22703. 2022-02-08 16:38:05,704:INFO:Checking exceptions
  22704. 2022-02-08 16:38:05,704:INFO:Preparing display monitor
  22705. 2022-02-08 16:38:05,716:INFO:Importing libraries
  22706. 2022-02-08 16:38:05,716:INFO:Copying training dataset
  22707. 2022-02-08 16:38:05,718:INFO:Defining folds
  22708. 2022-02-08 16:38:05,718:INFO:Declaring metric variables
  22709. 2022-02-08 16:38:05,724:INFO:Importing untrained model
  22710. 2022-02-08 16:38:05,730:INFO:Extreme Gradient Boosting Imported succesfully
  22711. 2022-02-08 16:38:05,743:INFO:Starting cross validation
  22712. 2022-02-08 16:38:05,744:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  22713. 2022-02-08 16:38:06,328:INFO:Calculating mean and std
  22714. 2022-02-08 16:38:06,329:INFO:Creating metrics dataframe
  22715. 2022-02-08 16:38:06,338:INFO:Finalizing model
  22716. 2022-02-08 16:40:02,413:INFO:PyCaret Supervised Module
  22717. 2022-02-08 16:40:02,413:INFO:ML Usecase: classification
  22718. 2022-02-08 16:40:02,414:INFO:version 2.3.6
  22719. 2022-02-08 16:40:02,414:INFO:Initializing setup()
  22720. 2022-02-08 16:40:02,414:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22721. 2022-02-08 16:40:02,414:INFO:Checking environment
  22722. 2022-02-08 16:40:02,414:INFO:python_version: 3.8.8
  22723. 2022-02-08 16:40:02,418:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22724. 2022-02-08 16:40:02,418:INFO:machine: x86_64
  22725. 2022-02-08 16:40:02,418:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22726. 2022-02-08 16:40:02,419:INFO:Memory: svmem(total=33619935232, available=30331043840, percent=9.8, used=2432843776, free=24533135360, active=917094400, inactive=7547666432, buffers=329220096, cached=6324736000, shared=383373312, slab=337035264)
  22727. 2022-02-08 16:40:02,420:INFO:Physical Core: 16
  22728. 2022-02-08 16:40:02,420:INFO:Logical Core: 32
  22729. 2022-02-08 16:40:02,420:INFO:Checking libraries
  22730. 2022-02-08 16:40:02,420:INFO:pd==1.2.4
  22731. 2022-02-08 16:40:02,425:INFO:numpy==1.19.5
  22732. 2022-02-08 16:40:02,426:INFO:sklearn==0.23.2
  22733. 2022-02-08 16:40:02,426:INFO:lightgbm==3.3.2
  22734. 2022-02-08 16:40:02,427:WARNING:catboost not found
  22735. 2022-02-08 16:40:02,438:INFO:xgboost==1.4.2
  22736. 2022-02-08 16:40:02,570:INFO:mlflow==1.22.0
  22737. 2022-02-08 16:40:02,570:INFO:Checking Exceptions
  22738. 2022-02-08 16:40:02,571:INFO:Declaring global variables
  22739. 2022-02-08 16:40:02,571:INFO:USI: d47a
  22740. 2022-02-08 16:40:02,571:INFO:pycaret_globals: {'transform_target_param', 'fold_generator', 'X_train', 'logging_param', 'stratify_param', 'imputation_classifier', 'display_container', 'iterative_imputation_iters_param', 'html_param', '_ml_usecase', 'transform_target_method_param', 'fold_groups_param_full', 'fold_param', 'master_model_container', 'y_test', 'gpu_param', 'seed', '_internal_pipeline', 'pycaret_globals', '_gpu_n_jobs_param', 'data_before_preprocess', 'X_test', 'n_jobs_param', 'exp_name_log', 'y', 'y_train', 'fold_shuffle_param', 'fix_imbalance_param', '_available_plots', 'experiment__', 'fold_groups_param', 'prep_pipe', 'USI', '_all_models', 'X', 'target_param', '_all_models_internal', 'log_plots_param', '_all_metrics', 'imputation_regressor', 'create_model_container', 'fix_imbalance_method_param'}
  22741. 2022-02-08 16:40:02,571:INFO:Preparing display monitor
  22742. 2022-02-08 16:40:02,572:INFO:Preparing display monitor
  22743. 2022-02-08 16:40:02,581:INFO:Importing libraries
  22744. 2022-02-08 16:40:02,582:INFO:Copying data for preprocessing
  22745. 2022-02-08 16:40:02,588:INFO:Declaring preprocessing parameters
  22746. 2022-02-08 16:40:02,589:WARNING:cuML not found
  22747. 2022-02-08 16:40:02,589:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  22748. 2022-02-08 16:40:02,594:INFO:Creating preprocessing pipeline
  22749. 2022-02-08 16:40:02,645:INFO:Preprocessing pipeline created successfully
  22750. 2022-02-08 16:40:02,645:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22751. 2022-02-08 16:40:02,646:INFO:Creating global containers
  22752. 2022-02-08 16:40:02,646:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22753. 2022-02-08 16:40:03,806:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22754. 2022-02-08 16:40:03,835:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22755. 2022-02-08 16:40:03,837:WARNING:Couldn't import cuml.MBSGDClassifier
  22756. 2022-02-08 16:40:03,838:WARNING:Couldn't import cuml.svm.SVC
  22757. 2022-02-08 16:40:03,856:WARNING:Couldn't import cuml.linear_model
  22758. 2022-02-08 16:40:03,859:WARNING:Couldn't import cuml.ensemble
  22759. 2022-02-08 16:40:03,868:WARNING:Couldn't import catboost.CatBoostClassifier
  22760. 2022-02-08 16:40:03,869:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22761. 2022-02-08 16:40:03,901:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22762. 2022-02-08 16:40:03,901:WARNING:Couldn't import cuml.MBSGDClassifier
  22763. 2022-02-08 16:40:03,902:WARNING:Couldn't import cuml.svm.SVC
  22764. 2022-02-08 16:40:03,917:WARNING:Couldn't import cuml.linear_model
  22765. 2022-02-08 16:40:03,921:WARNING:Couldn't import cuml.ensemble
  22766. 2022-02-08 16:40:03,933:WARNING:Couldn't import catboost.CatBoostClassifier
  22767. 2022-02-08 16:40:03,934:INFO:Creating grid variables
  22768. 2022-02-08 16:40:03,949:INFO:create_model_container: 0
  22769. 2022-02-08 16:40:03,949:INFO:master_model_container: 0
  22770. 2022-02-08 16:40:03,949:INFO:display_container: 1
  22771. 2022-02-08 16:40:03,953:INFO:Pipeline(memory=None,
  22772. steps=[('dtypes',
  22773. DataTypes_Auto_infer(categorical_features=[],
  22774. display_types=True, features_todrop=[],
  22775. id_columns=[],
  22776. ml_usecase='classification',
  22777. numerical_features=[], target='label',
  22778. time_features=[])),
  22779. ('imputer',
  22780. Simple_Imputer(categorical_strategy='not_available',
  22781. fill_value_categorical=None,
  22782. fill_value_numerical=None,
  22783. numeric_strate...
  22784. target='label')),
  22785. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22786. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22787. ('dummy', Dummify(target='label')),
  22788. ('fix_perfect', Remove_100(target='label')),
  22789. ('clean_names', Clean_Colum_Names()),
  22790. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22791. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22792. verbose=False)
  22793. 2022-02-08 16:40:03,953:INFO:setup() succesfully completed......................................
  22794. 2022-02-08 16:40:13,380:INFO:Initializing create_model()
  22795. 2022-02-08 16:40:13,380:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  22796. 2022-02-08 16:40:13,380:INFO:Checking exceptions
  22797. 2022-02-08 16:40:13,380:INFO:Preparing display monitor
  22798. 2022-02-08 16:40:13,392:INFO:Importing libraries
  22799. 2022-02-08 16:40:13,392:INFO:Copying training dataset
  22800. 2022-02-08 16:40:13,393:INFO:Defining folds
  22801. 2022-02-08 16:40:13,393:INFO:Declaring metric variables
  22802. 2022-02-08 16:40:13,399:INFO:Importing untrained model
  22803. 2022-02-08 16:40:13,404:INFO:Extreme Gradient Boosting Imported succesfully
  22804. 2022-02-08 16:40:13,415:INFO:Starting cross validation
  22805. 2022-02-08 16:40:13,416:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  22806. 2022-02-08 16:40:13,963:INFO:Calculating mean and std
  22807. 2022-02-08 16:40:13,964:INFO:Creating metrics dataframe
  22808. 2022-02-08 16:40:13,972:INFO:Finalizing model
  22809. 2022-02-08 17:04:46,485:INFO:PyCaret Supervised Module
  22810. 2022-02-08 17:04:46,486:INFO:ML Usecase: classification
  22811. 2022-02-08 17:04:46,486:INFO:version 2.3.6
  22812. 2022-02-08 17:04:46,486:INFO:Initializing setup()
  22813. 2022-02-08 17:04:46,486:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22814. 2022-02-08 17:04:46,486:INFO:Checking environment
  22815. 2022-02-08 17:04:46,487:INFO:python_version: 3.8.8
  22816. 2022-02-08 17:04:46,487:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22817. 2022-02-08 17:04:46,487:INFO:machine: x86_64
  22818. 2022-02-08 17:04:46,487:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22819. 2022-02-08 17:04:46,487:INFO:Memory: svmem(total=33619935232, available=29897719808, percent=11.1, used=2802528256, free=23712018432, active=1023295488, inactive=8243126272, buffers=349220864, cached=6756167680, shared=447012864, slab=356790272)
  22820. 2022-02-08 17:04:46,488:INFO:Physical Core: 16
  22821. 2022-02-08 17:04:46,488:INFO:Logical Core: 32
  22822. 2022-02-08 17:04:46,488:INFO:Checking libraries
  22823. 2022-02-08 17:04:46,489:INFO:pd==1.2.4
  22824. 2022-02-08 17:04:46,489:INFO:numpy==1.19.5
  22825. 2022-02-08 17:04:46,489:INFO:sklearn==0.23.2
  22826. 2022-02-08 17:04:46,489:INFO:lightgbm==3.3.2
  22827. 2022-02-08 17:04:46,490:WARNING:catboost not found
  22828. 2022-02-08 17:04:46,490:INFO:xgboost==1.4.2
  22829. 2022-02-08 17:04:46,490:INFO:mlflow==1.22.0
  22830. 2022-02-08 17:04:46,491:INFO:Checking Exceptions
  22831. 2022-02-08 17:04:46,491:INFO:Declaring global variables
  22832. 2022-02-08 17:04:46,491:INFO:USI: 2fe2
  22833. 2022-02-08 17:04:46,491:INFO:pycaret_globals: {'transform_target_param', 'fold_generator', 'X_train', 'logging_param', 'stratify_param', 'imputation_classifier', 'display_container', 'iterative_imputation_iters_param', 'html_param', '_ml_usecase', 'transform_target_method_param', 'fold_groups_param_full', 'fold_param', 'master_model_container', 'y_test', 'gpu_param', 'seed', '_internal_pipeline', 'pycaret_globals', '_gpu_n_jobs_param', 'data_before_preprocess', 'X_test', 'n_jobs_param', 'exp_name_log', 'y', 'y_train', 'fold_shuffle_param', 'fix_imbalance_param', '_available_plots', 'experiment__', 'fold_groups_param', 'prep_pipe', 'USI', '_all_models', 'X', 'target_param', '_all_models_internal', 'log_plots_param', '_all_metrics', 'imputation_regressor', 'create_model_container', 'fix_imbalance_method_param'}
  22834. 2022-02-08 17:04:46,491:INFO:Preparing display monitor
  22835. 2022-02-08 17:04:46,491:INFO:Preparing display monitor
  22836. 2022-02-08 17:04:46,501:INFO:Importing libraries
  22837. 2022-02-08 17:04:46,501:INFO:Copying data for preprocessing
  22838. 2022-02-08 17:04:46,510:INFO:Declaring preprocessing parameters
  22839. 2022-02-08 17:04:46,512:INFO:Creating preprocessing pipeline
  22840. 2022-02-08 17:04:46,557:INFO:Preprocessing pipeline created successfully
  22841. 2022-02-08 17:04:46,557:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22842. 2022-02-08 17:04:46,557:INFO:Creating global containers
  22843. 2022-02-08 17:04:46,558:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22844. 2022-02-08 17:04:48,394:WARNING:Couldn't import catboost.CatBoostClassifier
  22845. 2022-02-08 17:04:48,441:WARNING:Couldn't import catboost.CatBoostClassifier
  22846. 2022-02-08 17:04:48,441:INFO:Creating grid variables
  22847. 2022-02-08 17:04:48,451:INFO:create_model_container: 0
  22848. 2022-02-08 17:04:48,451:INFO:master_model_container: 0
  22849. 2022-02-08 17:04:48,451:INFO:display_container: 1
  22850. 2022-02-08 17:04:48,454:INFO:Pipeline(memory=None,
  22851. steps=[('dtypes',
  22852. DataTypes_Auto_infer(categorical_features=[],
  22853. display_types=True, features_todrop=[],
  22854. id_columns=[],
  22855. ml_usecase='classification',
  22856. numerical_features=[], target='label',
  22857. time_features=[])),
  22858. ('imputer',
  22859. Simple_Imputer(categorical_strategy='not_available',
  22860. fill_value_categorical=None,
  22861. fill_value_numerical=None,
  22862. numeric_strate...
  22863. target='label')),
  22864. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22865. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22866. ('dummy', Dummify(target='label')),
  22867. ('fix_perfect', Remove_100(target='label')),
  22868. ('clean_names', Clean_Colum_Names()),
  22869. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22870. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22871. verbose=False)
  22872. 2022-02-08 17:04:48,454:INFO:setup() succesfully completed......................................
  22873. 2022-02-08 17:04:53,768:INFO:Initializing create_model()
  22874. 2022-02-08 17:04:53,768:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  22875. 2022-02-08 17:04:53,769:INFO:Checking exceptions
  22876. 2022-02-08 17:04:53,769:INFO:Preparing display monitor
  22877. 2022-02-08 17:04:53,780:INFO:Importing libraries
  22878. 2022-02-08 17:04:53,780:INFO:Copying training dataset
  22879. 2022-02-08 17:04:53,781:INFO:Defining folds
  22880. 2022-02-08 17:04:53,781:INFO:Declaring metric variables
  22881. 2022-02-08 17:04:53,786:INFO:Importing untrained model
  22882. 2022-02-08 17:04:53,792:INFO:Extreme Gradient Boosting Imported succesfully
  22883. 2022-02-08 17:04:53,802:INFO:Starting cross validation
  22884. 2022-02-08 17:04:53,803:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  22885. 2022-02-08 17:10:57,927:INFO:Initializing load_model()
  22886. 2022-02-08 17:10:57,928:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22887. 2022-02-08 17:16:46,082:INFO:PyCaret Supervised Module
  22888. 2022-02-08 17:16:46,082:INFO:ML Usecase: classification
  22889. 2022-02-08 17:16:46,083:INFO:version 2.3.6
  22890. 2022-02-08 17:16:46,083:INFO:Initializing setup()
  22891. 2022-02-08 17:16:46,083:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22892. 2022-02-08 17:16:46,083:INFO:Checking environment
  22893. 2022-02-08 17:16:46,083:INFO:python_version: 3.8.8
  22894. 2022-02-08 17:16:46,083:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22895. 2022-02-08 17:16:46,084:INFO:machine: x86_64
  22896. 2022-02-08 17:16:46,084:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22897. 2022-02-08 17:16:46,084:INFO:Memory: svmem(total=33619935232, available=30270722048, percent=10.0, used=2493157376, free=24022044672, active=1112064000, inactive=7836545024, buffers=352624640, cached=6752108544, shared=383373312, slab=363368448)
  22898. 2022-02-08 17:16:46,085:INFO:Physical Core: 16
  22899. 2022-02-08 17:16:46,085:INFO:Logical Core: 32
  22900. 2022-02-08 17:16:46,085:INFO:Checking libraries
  22901. 2022-02-08 17:16:46,085:INFO:pd==1.3.0
  22902. 2022-02-08 17:16:46,085:INFO:numpy==1.19.5
  22903. 2022-02-08 17:16:46,085:INFO:sklearn==0.23.2
  22904. 2022-02-08 17:16:46,086:INFO:lightgbm==3.3.2
  22905. 2022-02-08 17:16:46,086:WARNING:catboost not found
  22906. 2022-02-08 17:16:46,096:INFO:xgboost==1.4.2
  22907. 2022-02-08 17:16:46,218:INFO:mlflow==1.22.0
  22908. 2022-02-08 17:16:46,219:INFO:Checking Exceptions
  22909. 2022-02-08 17:16:46,219:INFO:Declaring global variables
  22910. 2022-02-08 17:16:46,220:INFO:USI: e30c
  22911. 2022-02-08 17:16:46,220:INFO:pycaret_globals: {'fold_generator', 'imputation_classifier', '_available_plots', 'gpu_param', 'X_test', 'data_before_preprocess', 'experiment__', 'create_model_container', 'stratify_param', 'y', 'prep_pipe', '_all_models_internal', 'n_jobs_param', '_all_metrics', 'seed', 'html_param', '_internal_pipeline', 'target_param', 'display_container', 'master_model_container', '_gpu_n_jobs_param', 'fold_groups_param', 'fold_param', 'transform_target_method_param', 'y_train', 'transform_target_param', 'y_test', '_all_models', 'USI', 'iterative_imputation_iters_param', 'imputation_regressor', 'exp_name_log', 'fix_imbalance_method_param', 'fix_imbalance_param', 'logging_param', 'fold_groups_param_full', 'X_train', 'X', 'pycaret_globals', 'log_plots_param', '_ml_usecase', 'fold_shuffle_param'}
  22912. 2022-02-08 17:16:46,220:INFO:Preparing display monitor
  22913. 2022-02-08 17:16:46,220:INFO:Preparing display monitor
  22914. 2022-02-08 17:16:46,229:INFO:Importing libraries
  22915. 2022-02-08 17:16:46,229:INFO:Copying data for preprocessing
  22916. 2022-02-08 17:16:46,235:INFO:Declaring preprocessing parameters
  22917. 2022-02-08 17:16:46,239:INFO:Creating preprocessing pipeline
  22918. 2022-02-08 17:16:46,284:INFO:Preprocessing pipeline created successfully
  22919. 2022-02-08 17:16:46,284:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22920. 2022-02-08 17:16:46,284:INFO:Creating global containers
  22921. 2022-02-08 17:16:46,285:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22922. 2022-02-08 17:16:48,310:WARNING:Couldn't import catboost.CatBoostClassifier
  22923. 2022-02-08 17:16:48,358:WARNING:Couldn't import catboost.CatBoostClassifier
  22924. 2022-02-08 17:16:48,359:INFO:Creating grid variables
  22925. 2022-02-08 17:16:48,367:INFO:create_model_container: 0
  22926. 2022-02-08 17:16:48,367:INFO:master_model_container: 0
  22927. 2022-02-08 17:16:48,367:INFO:display_container: 1
  22928. 2022-02-08 17:16:48,370:INFO:Pipeline(memory=None,
  22929. steps=[('dtypes',
  22930. DataTypes_Auto_infer(categorical_features=[],
  22931. display_types=True, features_todrop=[],
  22932. id_columns=[],
  22933. ml_usecase='classification',
  22934. numerical_features=[], target='label',
  22935. time_features=[])),
  22936. ('imputer',
  22937. Simple_Imputer(categorical_strategy='not_available',
  22938. fill_value_categorical=None,
  22939. fill_value_numerical=None,
  22940. numeric_strate...
  22941. target='label')),
  22942. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22943. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22944. ('dummy', Dummify(target='label')),
  22945. ('fix_perfect', Remove_100(target='label')),
  22946. ('clean_names', Clean_Colum_Names()),
  22947. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22948. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22949. verbose=False)
  22950. 2022-02-08 17:16:48,370:INFO:setup() succesfully completed......................................
  22951. 2022-02-08 17:16:53,614:INFO:Initializing load_model()
  22952. 2022-02-08 17:16:53,615:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22953. 2022-02-08 17:16:53,889:INFO:Initializing predict_model()
  22954. 2022-02-08 17:16:53,889:INFO:predict_model(estimator=Pipeline(memory=None,
  22955. steps=[('dtypes',
  22956. DataTypes_Auto_infer(categorical_features=[],
  22957. display_types=True, features_todrop=[],
  22958. id_columns=[],
  22959. ml_usecase='classification',
  22960. numerical_features=[], target='label',
  22961. time_features=[])),
  22962. ('imputer',
  22963. Simple_Imputer(categorical_strategy='not_available',
  22964. fill_value_categorical=None,
  22965. fill_value_numerical=None,
  22966. numeric_strate...
  22967. learning_rate=0.05, max_delta_step=0,
  22968. max_depth=128, max_leaves=1024,
  22969. min_child_weight=1, missing=nan,
  22970. monotone_constraints='()', n_estimators=100,
  22971. n_jobs=-1, num_parallel_tree=1,
  22972. objective='binary:logistic', random_state=8985,
  22973. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  22974. subsample=1, tree_method='gpu_hist',
  22975. use_label_encoder=True, validate_parameters=1,
  22976. verbosity=0)]],
  22977. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22978. 2022-02-08 17:16:53,889:INFO:Checking exceptions
  22979. 2022-02-08 17:16:53,890:INFO:Preloading libraries
  22980. 2022-02-08 17:16:53,890:INFO:Preparing display monitor
  22981. 2022-02-08 17:18:25,948:INFO:Initializing load_model()
  22982. 2022-02-08 17:18:25,949:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22983. 2022-02-08 17:18:26,098:INFO:Initializing predict_model()
  22984. 2022-02-08 17:18:26,098:INFO:predict_model(estimator=Pipeline(memory=None,
  22985. steps=[('dtypes',
  22986. DataTypes_Auto_infer(categorical_features=[],
  22987. display_types=True, features_todrop=[],
  22988. id_columns=[],
  22989. ml_usecase='classification',
  22990. numerical_features=[], target='label',
  22991. time_features=[])),
  22992. ('imputer',
  22993. Simple_Imputer(categorical_strategy='not_available',
  22994. fill_value_categorical=None,
  22995. fill_value_numerical=None,
  22996. numeric_strate...
  22997. learning_rate=0.05, max_delta_step=0,
  22998. max_depth=128, max_leaves=1024,
  22999. min_child_weight=1, missing=nan,
  23000. monotone_constraints='()', n_estimators=100,
  23001. n_jobs=-1, num_parallel_tree=1,
  23002. objective='binary:logistic', random_state=8985,
  23003. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23004. subsample=1, tree_method='gpu_hist',
  23005. use_label_encoder=True, validate_parameters=1,
  23006. verbosity=0)]],
  23007. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23008. 2022-02-08 17:18:26,098:INFO:Checking exceptions
  23009. 2022-02-08 17:18:26,098:INFO:Preloading libraries
  23010. 2022-02-08 17:18:26,098:INFO:Preparing display monitor
  23011. 2022-02-08 17:18:39,712:INFO:Initializing load_model()
  23012. 2022-02-08 17:18:39,713:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23013. 2022-02-08 17:18:39,845:INFO:Initializing predict_model()
  23014. 2022-02-08 17:18:39,845:INFO:predict_model(estimator=Pipeline(memory=None,
  23015. steps=[('dtypes',
  23016. DataTypes_Auto_infer(categorical_features=[],
  23017. display_types=True, features_todrop=[],
  23018. id_columns=[],
  23019. ml_usecase='classification',
  23020. numerical_features=[], target='label',
  23021. time_features=[])),
  23022. ('imputer',
  23023. Simple_Imputer(categorical_strategy='not_available',
  23024. fill_value_categorical=None,
  23025. fill_value_numerical=None,
  23026. numeric_strate...
  23027. learning_rate=0.05, max_delta_step=0,
  23028. max_depth=128, max_leaves=1024,
  23029. min_child_weight=1, missing=nan,
  23030. monotone_constraints='()', n_estimators=100,
  23031. n_jobs=-1, num_parallel_tree=1,
  23032. objective='binary:logistic', random_state=8985,
  23033. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23034. subsample=1, tree_method='gpu_hist',
  23035. use_label_encoder=True, validate_parameters=1,
  23036. verbosity=0)]],
  23037. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23038. 2022-02-08 17:18:39,846:INFO:Checking exceptions
  23039. 2022-02-08 17:18:39,846:INFO:Preloading libraries
  23040. 2022-02-08 17:18:39,846:INFO:Preparing display monitor
  23041. 2022-02-22 16:11:38,750:INFO:Initializing load_model()
  23042. 2022-02-22 16:11:38,750:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23043. 2022-02-22 16:11:42,355:INFO:Initializing predict_model()
  23044. 2022-02-22 16:11:42,355:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  23045. DataTypes_Auto_infer(ml_usecase='classification',
  23046. target='label')),
  23047. ('imputer',
  23048. Simple_Imputer(categorical_strategy='not_available',
  23049. fill_value_categorical=None,
  23050. fill_value_numerical=None,
  23051. numeric_strategy='mean',
  23052. target_variable=None)),
  23053. ('new_levels1',
  23054. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  23055. 'frequent',
  23056. targe...
  23057. gamma=0, gpu_id=0, importance_type=None,
  23058. interaction_constraints='', learning_rate=0.05,
  23059. max_delta_step=0, max_depth=128, max_leaves=1024,
  23060. min_child_weight=1, missing=nan,
  23061. monotone_constraints='()', n_estimators=100,
  23062. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  23063. random_state=8985, reg_alpha=0, reg_lambda=1,
  23064. scale_pos_weight=1, subsample=1,
  23065. tree_method='gpu_hist', validate_parameters=1,
  23066. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23067. 2022-02-22 16:11:42,355:INFO:Checking exceptions
  23068. 2022-02-22 16:11:42,356:INFO:Preloading libraries
  23069. 2022-02-22 16:11:45,562:INFO:Initializing get_config()
  23070. 2022-02-22 16:11:45,562:INFO:get_config(variable=prep_pipe)
  23071. 2022-02-22 16:13:08,720:INFO:Initializing load_model()
  23072. 2022-02-22 16:13:08,720:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23073. 2022-02-22 16:13:11,320:INFO:Initializing predict_model()
  23074. 2022-02-22 16:13:11,321:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  23075. DataTypes_Auto_infer(ml_usecase='classification',
  23076. target='label')),
  23077. ('imputer',
  23078. Simple_Imputer(categorical_strategy='not_available',
  23079. fill_value_categorical=None,
  23080. fill_value_numerical=None,
  23081. numeric_strategy='mean',
  23082. target_variable=None)),
  23083. ('new_levels1',
  23084. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  23085. 'frequent',
  23086. targe...
  23087. importance_type=None, interaction_constraints='',
  23088. learning_rate=0.05, max_delta_step=0,
  23089. max_depth=128, max_leaves=1024,
  23090. min_child_weight=1, missing=nan,
  23091. monotone_constraints='()', n_estimators=100,
  23092. n_jobs=-1, num_parallel_tree=1,
  23093. random_state=8985, reg_alpha=0, reg_lambda=1,
  23094. scale_pos_weight=1, subsample=1,
  23095. tree_method='gpu_hist', validate_parameters=1,
  23096. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23097. 2022-02-22 16:13:11,321:INFO:Checking exceptions
  23098. 2022-02-22 16:13:11,321:INFO:Preloading libraries
  23099. 2022-02-22 16:26:05,767:INFO:Initializing get_config()
  23100. 2022-02-22 16:26:05,767:INFO:get_config(variable=prep_pipe)
  23101. 2022-02-22 16:27:27,213:INFO:Initializing predict_model()
  23102. 2022-02-22 16:27:27,213:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  23103. DataTypes_Auto_infer(ml_usecase='classification',
  23104. target='label')),
  23105. ('imputer',
  23106. Simple_Imputer(categorical_strategy='not_available',
  23107. fill_value_categorical=None,
  23108. fill_value_numerical=None,
  23109. numeric_strategy='mean',
  23110. target_variable=None)),
  23111. ('new_levels1',
  23112. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  23113. 'frequent',
  23114. targe...
  23115. importance_type=None, interaction_constraints='',
  23116. learning_rate=0.05, max_delta_step=0,
  23117. max_depth=128, max_leaves=1024,
  23118. min_child_weight=1, missing=nan,
  23119. monotone_constraints='()', n_estimators=100,
  23120. n_jobs=-1, num_parallel_tree=1,
  23121. random_state=8985, reg_alpha=0, reg_lambda=1,
  23122. scale_pos_weight=1, subsample=1,
  23123. tree_method='gpu_hist', validate_parameters=1,
  23124. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23125. 2022-02-22 16:27:27,214:INFO:Checking exceptions
  23126. 2022-02-22 16:27:27,214:INFO:Preloading libraries
  23127. 2022-02-22 16:28:27,381:INFO:Initializing get_config()
  23128. 2022-02-22 16:28:27,381:INFO:get_config(variable=prep_pipe)
  23129. 2022-02-22 16:29:26,290:INFO:PyCaret Supervised Module
  23130. 2022-02-22 16:29:26,291:INFO:ML Usecase: classification
  23131. 2022-02-22 16:29:26,291:INFO:version 2.3.6
  23132. 2022-02-22 16:29:26,291:INFO:Initializing setup()
  23133. 2022-02-22 16:29:26,291:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23134. 2022-02-22 16:29:26,292:INFO:Checking environment
  23135. 2022-02-22 16:29:26,292:INFO:python_version: 3.8.8
  23136. 2022-02-22 16:29:26,292:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  23137. 2022-02-22 16:29:26,292:INFO:machine: x86_64
  23138. 2022-02-22 16:29:26,292:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  23139. 2022-02-22 16:29:26,293:INFO:Memory: svmem(total=33619935232, available=29479288832, percent=12.3, used=3344891904, free=28274917376, active=395513856, inactive=4467183616, buffers=118689792, cached=1881436160, shared=383373312, slab=191283200)
  23140. 2022-02-22 16:29:26,294:INFO:Physical Core: 16
  23141. 2022-02-22 16:29:26,294:INFO:Logical Core: 32
  23142. 2022-02-22 16:29:26,294:INFO:Checking libraries
  23143. 2022-02-22 16:29:26,294:INFO:pd==1.3.0
  23144. 2022-02-22 16:29:26,294:INFO:numpy==1.19.5
  23145. 2022-02-22 16:29:26,294:INFO:sklearn==0.23.2
  23146. 2022-02-22 16:29:26,295:INFO:lightgbm==3.3.2
  23147. 2022-02-22 16:29:26,295:WARNING:catboost not found
  23148. 2022-02-22 16:29:26,306:INFO:xgboost==1.4.2
  23149. 2022-02-22 16:29:26,497:INFO:mlflow==1.22.0
  23150. 2022-02-22 16:29:26,497:INFO:Checking Exceptions
  23151. 2022-02-22 16:29:26,498:INFO:Declaring global variables
  23152. 2022-02-22 16:29:26,498:INFO:USI: 0f6e
  23153. 2022-02-22 16:29:26,498:INFO:pycaret_globals: {'iterative_imputation_iters_param', 'seed', 'logging_param', 'log_plots_param', 'html_param', '_ml_usecase', 'fold_groups_param', 'USI', 'fold_groups_param_full', 'transform_target_method_param', 'gpu_param', '_all_metrics', 'create_model_container', '_all_models_internal', '_all_models', 'imputation_classifier', 'X_test', 'data_before_preprocess', 'stratify_param', '_available_plots', 'fix_imbalance_method_param', 'fold_shuffle_param', 'target_param', 'X', 'fold_param', 'y_test', 'y', 'exp_name_log', 'master_model_container', 'display_container', 'fix_imbalance_param', '_gpu_n_jobs_param', '_internal_pipeline', 'n_jobs_param', 'imputation_regressor', 'fold_generator', 'prep_pipe', 'transform_target_param', 'pycaret_globals', 'X_train', 'experiment__', 'y_train'}
  23154. 2022-02-22 16:29:26,498:INFO:Preparing display monitor
  23155. 2022-02-22 16:29:26,498:INFO:Preparing display monitor
  23156. 2022-02-22 16:29:26,508:INFO:Importing libraries
  23157. 2022-02-22 16:29:26,508:INFO:Copying data for preprocessing
  23158. 2022-02-22 16:29:26,514:INFO:Declaring preprocessing parameters
  23159. 2022-02-22 16:29:26,518:INFO:Creating preprocessing pipeline
  23160. 2022-02-22 16:29:26,562:INFO:Preprocessing pipeline created successfully
  23161. 2022-02-22 16:29:26,562:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  23162. 2022-02-22 16:29:26,563:INFO:Creating global containers
  23163. 2022-02-22 16:29:26,563:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  23164. 2022-02-22 16:29:28,709:WARNING:Couldn't import catboost.CatBoostClassifier
  23165. 2022-02-22 16:29:28,754:WARNING:Couldn't import catboost.CatBoostClassifier
  23166. 2022-02-22 16:29:28,755:INFO:Creating grid variables
  23167. 2022-02-22 16:29:28,763:INFO:create_model_container: 0
  23168. 2022-02-22 16:29:28,763:INFO:master_model_container: 0
  23169. 2022-02-22 16:29:28,763:INFO:display_container: 1
  23170. 2022-02-22 16:29:28,766:INFO:Pipeline(memory=None,
  23171. steps=[('dtypes',
  23172. DataTypes_Auto_infer(categorical_features=[],
  23173. display_types=True, features_todrop=[],
  23174. id_columns=[],
  23175. ml_usecase='classification',
  23176. numerical_features=[], target='label',
  23177. time_features=[])),
  23178. ('imputer',
  23179. Simple_Imputer(categorical_strategy='not_available',
  23180. fill_value_categorical=None,
  23181. fill_value_numerical=None,
  23182. numeric_strate...
  23183. target='label')),
  23184. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23185. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23186. ('dummy', Dummify(target='label')),
  23187. ('fix_perfect', Remove_100(target='label')),
  23188. ('clean_names', Clean_Colum_Names()),
  23189. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23190. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23191. verbose=False)
  23192. 2022-02-22 16:29:28,766:INFO:setup() succesfully completed......................................
  23193. 2022-02-22 16:29:38,705:INFO:Initializing load_model()
  23194. 2022-02-22 16:29:38,705:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23195. 2022-02-22 16:29:38,864:INFO:Initializing predict_model()
  23196. 2022-02-22 16:29:38,864:INFO:predict_model(estimator=Pipeline(memory=None,
  23197. steps=[('dtypes',
  23198. DataTypes_Auto_infer(categorical_features=[],
  23199. display_types=True, features_todrop=[],
  23200. id_columns=[],
  23201. ml_usecase='classification',
  23202. numerical_features=[], target='label',
  23203. time_features=[])),
  23204. ('imputer',
  23205. Simple_Imputer(categorical_strategy='not_available',
  23206. fill_value_categorical=None,
  23207. fill_value_numerical=None,
  23208. numeric_strate...
  23209. learning_rate=0.05, max_delta_step=0,
  23210. max_depth=128, max_leaves=1024,
  23211. min_child_weight=1, missing=nan,
  23212. monotone_constraints='()', n_estimators=100,
  23213. n_jobs=-1, num_parallel_tree=1,
  23214. objective='binary:logistic', random_state=8985,
  23215. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23216. subsample=1, tree_method='gpu_hist',
  23217. use_label_encoder=True, validate_parameters=1,
  23218. verbosity=0)]],
  23219. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23220. 2022-02-22 16:29:38,864:INFO:Checking exceptions
  23221. 2022-02-22 16:29:38,865:INFO:Preloading libraries
  23222. 2022-02-22 16:29:38,865:INFO:Preparing display monitor
  23223. 2022-02-22 16:30:00,265:INFO:Initializing get_config()
  23224. 2022-02-22 16:30:00,265:INFO:get_config(variable=prep_pipe)
  23225. 2022-02-22 16:30:00,268:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  23226. steps=[('dtypes',
  23227. DataTypes_Auto_infer(categorical_features=[],
  23228. display_types=True, features_todrop=[],
  23229. id_columns=[],
  23230. ml_usecase='classification',
  23231. numerical_features=[], target='label',
  23232. time_features=[])),
  23233. ('imputer',
  23234. Simple_Imputer(categorical_strategy='not_available',
  23235. fill_value_categorical=None,
  23236. fill_value_numerical=None,
  23237. numeric_strate...
  23238. target='label')),
  23239. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23240. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23241. ('dummy', Dummify(target='label')),
  23242. ('fix_perfect', Remove_100(target='label')),
  23243. ('clean_names', Clean_Colum_Names()),
  23244. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23245. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23246. verbose=False)
  23247. 2022-02-22 16:30:00,268:INFO:get_config() succesfully completed......................................
  23248. 2022-02-22 16:30:00,268:INFO:Initializing get_config()
  23249. 2022-02-22 16:30:00,269:INFO:get_config(variable=data_before_preprocess)
  23250. 2022-02-22 16:30:00,274:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  23251. 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  23252. 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  23253. 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  23254. 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  23255. 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
  23256. ... ... ... ... ... ... ...
  23257. 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
  23258. 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  23259. 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  23260. 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  23261. 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  23262. dd_temp door motion illum dayofweek month hour
  23263. 0 2.472812e-16 0.0 0.0 0.0 0 8 0
  23264. 1 2.472812e-16 0.0 0.0 0.0 0 8 0
  23265. 2 2.472812e-16 0.0 0.0 0.0 0 8 0
  23266. 3 2.472812e-16 0.0 0.0 0.0 0 8 0
  23267. 4 2.472812e-16 0.0 0.0 0.0 0 8 0
  23268. ... ... ... ... ... ... ... ...
  23269. 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
  23270. 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
  23271. 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
  23272. 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
  23273. 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
  23274. [64800 rows x 13 columns]
  23275. 2022-02-22 16:30:00,274:INFO:get_config() succesfully completed......................................
  23276. 2022-02-22 16:30:00,276:INFO:Initializing get_config()
  23277. 2022-02-22 16:30:00,276:INFO:get_config(variable=prep_pipe)
  23278. 2022-02-22 16:30:00,278:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  23279. steps=[('dtypes',
  23280. DataTypes_Auto_infer(categorical_features=[],
  23281. display_types=True, features_todrop=[],
  23282. id_columns=[],
  23283. ml_usecase='classification',
  23284. numerical_features=[], target='label',
  23285. time_features=[])),
  23286. ('imputer',
  23287. Simple_Imputer(categorical_strategy='not_available',
  23288. fill_value_categorical=None,
  23289. fill_value_numerical=None,
  23290. numeric_strate...
  23291. target='label')),
  23292. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23293. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23294. ('dummy', Dummify(target='label')),
  23295. ('fix_perfect', Remove_100(target='label')),
  23296. ('clean_names', Clean_Colum_Names()),
  23297. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23298. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23299. verbose=False)
  23300. 2022-02-22 16:30:00,279:INFO:get_config() succesfully completed......................................
  23301. 2022-02-22 16:30:00,287:INFO:Initializing save_model()
  23302. 2022-02-22 16:30:00,287:INFO:save_model(model=Pipeline(memory=None,
  23303. steps=[('dtypes',
  23304. DataTypes_Auto_infer(categorical_features=[],
  23305. display_types=True, features_todrop=[],
  23306. id_columns=[],
  23307. ml_usecase='classification',
  23308. numerical_features=[], target='label',
  23309. time_features=[])),
  23310. ('imputer',
  23311. Simple_Imputer(categorical_strategy='not_available',
  23312. fill_value_categorical=None,
  23313. fill_value_numerical=None,
  23314. numeric_strate...
  23315. learning_rate=0.05, max_delta_step=0,
  23316. max_depth=128, max_leaves=1024,
  23317. min_child_weight=1, missing=nan,
  23318. monotone_constraints='()', n_estimators=100,
  23319. n_jobs=-1, num_parallel_tree=1,
  23320. objective='binary:logistic', random_state=8985,
  23321. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23322. subsample=1, tree_method='gpu_hist',
  23323. use_label_encoder=True, validate_parameters=1,
  23324. verbosity=0)]],
  23325. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  23326. steps=[('dtypes',
  23327. DataTypes_Auto_infer(categorical_features=[],
  23328. display_types=True, features_todrop=[],
  23329. id_columns=[],
  23330. ml_usecase='classification',
  23331. numerical_features=[], target='label',
  23332. time_features=[])),
  23333. ('imputer',
  23334. Simple_Imputer(categorical_strategy='not_available',
  23335. fill_value_categorical=None,
  23336. fill_value_numerical=None,
  23337. numeric_strate...
  23338. target='label')),
  23339. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23340. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23341. ('dummy', Dummify(target='label')),
  23342. ('fix_perfect', Remove_100(target='label')),
  23343. ('clean_names', Clean_Colum_Names()),
  23344. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23345. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23346. verbose=False), verbose=False, kwargs={})
  23347. 2022-02-22 16:30:00,287:INFO:Adding model into prep_pipe
  23348. 2022-02-22 16:30:00,492:WARNING:Only Model saved as it was a pipeline.
  23349. 2022-02-22 16:30:00,596:INFO:my_api.pkl saved in current working directory
  23350. 2022-02-22 16:30:00,602:INFO:Pipeline(memory=None,
  23351. steps=[('dtypes',
  23352. DataTypes_Auto_infer(categorical_features=[],
  23353. display_types=True, features_todrop=[],
  23354. id_columns=[],
  23355. ml_usecase='classification',
  23356. numerical_features=[], target='label',
  23357. time_features=[])),
  23358. ('imputer',
  23359. Simple_Imputer(categorical_strategy='not_available',
  23360. fill_value_categorical=None,
  23361. fill_value_numerical=None,
  23362. numeric_strate...
  23363. learning_rate=0.05, max_delta_step=0,
  23364. max_depth=128, max_leaves=1024,
  23365. min_child_weight=1, missing=nan,
  23366. monotone_constraints='()', n_estimators=100,
  23367. n_jobs=-1, num_parallel_tree=1,
  23368. objective='binary:logistic', random_state=8985,
  23369. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23370. subsample=1, tree_method='gpu_hist',
  23371. use_label_encoder=True, validate_parameters=1,
  23372. verbosity=0)]],
  23373. verbose=False)
  23374. 2022-02-22 16:30:00,603:INFO:save_model() successfully completed......................................
  23375. 2022-02-22 16:44:08,710:INFO:Initializing load_model()
  23376. 2022-02-22 16:44:08,710:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  23377. 2022-02-22 16:49:20,648:INFO:Initializing predict_model()
  23378. 2022-02-22 16:49:20,649:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  23379. DataTypes_Auto_infer(ml_usecase='classification',
  23380. target='label')),
  23381. ('imputer',
  23382. Simple_Imputer(categorical_strategy='not_available',
  23383. fill_value_categorical=None,
  23384. fill_value_numerical=None,
  23385. numeric_strategy='mean',
  23386. target_variable=None)),
  23387. ('new_levels1',
  23388. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  23389. 'frequent',
  23390. targe...
  23391. importance_type=None, interaction_constraints='',
  23392. learning_rate=0.05, max_delta_step=0,
  23393. max_depth=128, max_leaves=1024,
  23394. min_child_weight=1, missing=nan,
  23395. monotone_constraints='()', n_estimators=100,
  23396. n_jobs=-1, num_parallel_tree=1,
  23397. random_state=8985, reg_alpha=0, reg_lambda=1,
  23398. scale_pos_weight=1, subsample=1,
  23399. tree_method='gpu_hist', validate_parameters=1,
  23400. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23401. 2022-02-22 16:49:20,649:INFO:Checking exceptions
  23402. 2022-02-22 16:49:20,650:INFO:Preloading libraries
  23403. 2022-02-22 17:00:34,168:INFO:PyCaret Supervised Module
  23404. 2022-02-22 17:00:34,168:INFO:ML Usecase: classification
  23405. 2022-02-22 17:00:34,168:INFO:version 2.3.6
  23406. 2022-02-22 17:00:34,168:INFO:Initializing setup()
  23407. 2022-02-22 17:00:34,168:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23408. 2022-02-22 17:00:34,169:INFO:Checking environment
  23409. 2022-02-22 17:00:34,169:INFO:python_version: 3.8.8
  23410. 2022-02-22 17:00:34,169:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  23411. 2022-02-22 17:00:34,169:INFO:machine: x86_64
  23412. 2022-02-22 17:00:34,169:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  23413. 2022-02-22 17:00:34,170:INFO:Memory: svmem(total=33619935232, available=27684274176, percent=17.7, used=5079613440, free=19587526656, active=1003311104, inactive=12167479296, buffers=209006592, cached=8743788544, shared=383373312, slab=556220416)
  23414. 2022-02-22 17:00:34,170:INFO:Physical Core: 16
  23415. 2022-02-22 17:00:34,171:INFO:Logical Core: 32
  23416. 2022-02-22 17:00:34,171:INFO:Checking libraries
  23417. 2022-02-22 17:00:34,171:INFO:pd==1.3.0
  23418. 2022-02-22 17:00:34,171:INFO:numpy==1.19.5
  23419. 2022-02-22 17:00:34,171:INFO:sklearn==0.23.2
  23420. 2022-02-22 17:00:34,171:INFO:lightgbm==3.3.2
  23421. 2022-02-22 17:00:34,172:WARNING:catboost not found
  23422. 2022-02-22 17:00:34,172:INFO:xgboost==1.4.2
  23423. 2022-02-22 17:00:34,299:INFO:mlflow==1.22.0
  23424. 2022-02-22 17:00:34,300:INFO:Checking Exceptions
  23425. 2022-02-22 17:00:34,300:INFO:Declaring global variables
  23426. 2022-02-22 17:00:34,301:INFO:USI: 5c75
  23427. 2022-02-22 17:00:34,301:INFO:pycaret_globals: {'_available_plots', 'master_model_container', '_internal_pipeline', 'X', 'transform_target_method_param', 'html_param', 'display_container', 'log_plots_param', 'pycaret_globals', '_ml_usecase', 'target_param', 'fix_imbalance_param', '_all_models', 'fold_param', 'stratify_param', 'exp_name_log', 'gpu_param', 'fix_imbalance_method_param', 'imputation_regressor', '_gpu_n_jobs_param', 'X_train', 'y_test', 'n_jobs_param', 'USI', 'iterative_imputation_iters_param', 'fold_groups_param', 'fold_groups_param_full', 'X_test', 'prep_pipe', 'imputation_classifier', 'data_before_preprocess', '_all_metrics', 'create_model_container', 'transform_target_param', '_all_models_internal', 'y', 'fold_generator', 'y_train', 'logging_param', 'experiment__', 'fold_shuffle_param', 'seed'}
  23428. 2022-02-22 17:00:34,301:INFO:Preparing display monitor
  23429. 2022-02-22 17:00:34,301:INFO:Preparing display monitor
  23430. 2022-02-22 17:00:34,309:INFO:Importing libraries
  23431. 2022-02-22 17:00:34,309:INFO:Copying data for preprocessing
  23432. 2022-02-22 17:00:34,314:INFO:Declaring preprocessing parameters
  23433. 2022-02-22 17:00:34,315:WARNING:cuML not found
  23434. 2022-02-22 17:00:34,315:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  23435. 2022-02-22 17:00:34,317:INFO:Creating preprocessing pipeline
  23436. 2022-02-22 17:00:34,360:INFO:Preprocessing pipeline created successfully
  23437. 2022-02-22 17:00:34,360:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  23438. 2022-02-22 17:00:34,361:INFO:Creating global containers
  23439. 2022-02-22 17:00:34,361:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  23440. 2022-02-22 17:00:36,334:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  23441. 2022-02-22 17:00:36,362:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  23442. 2022-02-22 17:00:36,363:WARNING:Couldn't import cuml.MBSGDClassifier
  23443. 2022-02-22 17:00:36,364:WARNING:Couldn't import cuml.svm.SVC
  23444. 2022-02-22 17:00:36,380:WARNING:Couldn't import cuml.linear_model
  23445. 2022-02-22 17:00:36,383:WARNING:Couldn't import cuml.ensemble
  23446. 2022-02-22 17:00:36,405:WARNING:Couldn't import catboost.CatBoostClassifier
  23447. 2022-02-22 17:00:36,406:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  23448. 2022-02-22 17:00:36,436:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  23449. 2022-02-22 17:00:36,437:WARNING:Couldn't import cuml.MBSGDClassifier
  23450. 2022-02-22 17:00:36,437:WARNING:Couldn't import cuml.svm.SVC
  23451. 2022-02-22 17:00:36,451:WARNING:Couldn't import cuml.linear_model
  23452. 2022-02-22 17:00:36,455:WARNING:Couldn't import cuml.ensemble
  23453. 2022-02-22 17:00:36,460:WARNING:Couldn't import catboost.CatBoostClassifier
  23454. 2022-02-22 17:00:36,461:INFO:Creating grid variables
  23455. 2022-02-22 17:00:36,469:INFO:create_model_container: 0
  23456. 2022-02-22 17:00:36,469:INFO:master_model_container: 0
  23457. 2022-02-22 17:00:36,469:INFO:display_container: 1
  23458. 2022-02-22 17:00:36,472:INFO:Pipeline(memory=None,
  23459. steps=[('dtypes',
  23460. DataTypes_Auto_infer(categorical_features=[],
  23461. display_types=True, features_todrop=[],
  23462. id_columns=[],
  23463. ml_usecase='classification',
  23464. numerical_features=[], target='label',
  23465. time_features=[])),
  23466. ('imputer',
  23467. Simple_Imputer(categorical_strategy='not_available',
  23468. fill_value_categorical=None,
  23469. fill_value_numerical=None,
  23470. numeric_strate...
  23471. target='label')),
  23472. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23473. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23474. ('dummy', Dummify(target='label')),
  23475. ('fix_perfect', Remove_100(target='label')),
  23476. ('clean_names', Clean_Colum_Names()),
  23477. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23478. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23479. verbose=False)
  23480. 2022-02-22 17:00:36,472:INFO:setup() succesfully completed......................................
  23481. 2022-02-22 17:00:43,347:INFO:Initializing load_model()
  23482. 2022-02-22 17:00:43,347:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23483. 2022-02-22 17:00:45,772:INFO:Initializing predict_model()
  23484. 2022-02-22 17:00:45,773:INFO:predict_model(estimator=Pipeline(memory=None,
  23485. steps=[('dtypes',
  23486. DataTypes_Auto_infer(categorical_features=[],
  23487. display_types=True, features_todrop=[],
  23488. id_columns=[],
  23489. ml_usecase='classification',
  23490. numerical_features=[], target='label',
  23491. time_features=[])),
  23492. ('imputer',
  23493. Simple_Imputer(categorical_strategy='not_available',
  23494. fill_value_categorical=None,
  23495. fill_value_numerical=None,
  23496. numeric_strate...
  23497. learning_rate=0.05, max_delta_step=0,
  23498. max_depth=128, max_leaves=1024,
  23499. min_child_weight=1, missing=nan,
  23500. monotone_constraints='()', n_estimators=100,
  23501. n_jobs=-1, num_parallel_tree=1,
  23502. objective='binary:logistic', random_state=8985,
  23503. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23504. subsample=1, tree_method='gpu_hist',
  23505. use_label_encoder=True, validate_parameters=1,
  23506. verbosity=0)]],
  23507. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23508. 2022-02-22 17:00:45,773:INFO:Checking exceptions
  23509. 2022-02-22 17:00:45,773:INFO:Preloading libraries
  23510. 2022-02-22 17:00:45,773:INFO:Preparing display monitor
  23511. 2022-02-22 17:00:50,084:INFO:Initializing get_config()
  23512. 2022-02-22 17:00:50,085:INFO:get_config(variable=prep_pipe)
  23513. 2022-02-22 17:00:50,087:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  23514. steps=[('dtypes',
  23515. DataTypes_Auto_infer(categorical_features=[],
  23516. display_types=True, features_todrop=[],
  23517. id_columns=[],
  23518. ml_usecase='classification',
  23519. numerical_features=[], target='label',
  23520. time_features=[])),
  23521. ('imputer',
  23522. Simple_Imputer(categorical_strategy='not_available',
  23523. fill_value_categorical=None,
  23524. fill_value_numerical=None,
  23525. numeric_strate...
  23526. target='label')),
  23527. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23528. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23529. ('dummy', Dummify(target='label')),
  23530. ('fix_perfect', Remove_100(target='label')),
  23531. ('clean_names', Clean_Colum_Names()),
  23532. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23533. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23534. verbose=False)
  23535. 2022-02-22 17:00:50,088:INFO:get_config() succesfully completed......................................
  23536. 2022-02-22 17:00:50,088:INFO:Initializing get_config()
  23537. 2022-02-22 17:00:50,088:INFO:get_config(variable=data_before_preprocess)
  23538. 2022-02-22 17:00:50,092:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  23539. 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  23540. 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  23541. 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  23542. 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  23543. 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
  23544. ... ... ... ... ... ... ...
  23545. 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
  23546. 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  23547. 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  23548. 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  23549. 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  23550. dd_temp door motion illum dayofweek month hour
  23551. 0 2.472812e-16 0.0 0.0 0.0 0 8 0
  23552. 1 2.472812e-16 0.0 0.0 0.0 0 8 0
  23553. 2 2.472812e-16 0.0 0.0 0.0 0 8 0
  23554. 3 2.472812e-16 0.0 0.0 0.0 0 8 0
  23555. 4 2.472812e-16 0.0 0.0 0.0 0 8 0
  23556. ... ... ... ... ... ... ... ...
  23557. 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
  23558. 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
  23559. 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
  23560. 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
  23561. 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
  23562. [64800 rows x 13 columns]
  23563. 2022-02-22 17:00:50,093:INFO:get_config() succesfully completed......................................
  23564. 2022-02-22 17:00:50,095:INFO:Initializing get_config()
  23565. 2022-02-22 17:00:50,095:INFO:get_config(variable=prep_pipe)
  23566. 2022-02-22 17:00:50,098:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  23567. steps=[('dtypes',
  23568. DataTypes_Auto_infer(categorical_features=[],
  23569. display_types=True, features_todrop=[],
  23570. id_columns=[],
  23571. ml_usecase='classification',
  23572. numerical_features=[], target='label',
  23573. time_features=[])),
  23574. ('imputer',
  23575. Simple_Imputer(categorical_strategy='not_available',
  23576. fill_value_categorical=None,
  23577. fill_value_numerical=None,
  23578. numeric_strate...
  23579. target='label')),
  23580. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23581. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23582. ('dummy', Dummify(target='label')),
  23583. ('fix_perfect', Remove_100(target='label')),
  23584. ('clean_names', Clean_Colum_Names()),
  23585. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23586. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23587. verbose=False)
  23588. 2022-02-22 17:00:50,098:INFO:get_config() succesfully completed......................................
  23589. 2022-02-22 17:00:50,106:INFO:Initializing save_model()
  23590. 2022-02-22 17:00:50,107:INFO:save_model(model=Pipeline(memory=None,
  23591. steps=[('dtypes',
  23592. DataTypes_Auto_infer(categorical_features=[],
  23593. display_types=True, features_todrop=[],
  23594. id_columns=[],
  23595. ml_usecase='classification',
  23596. numerical_features=[], target='label',
  23597. time_features=[])),
  23598. ('imputer',
  23599. Simple_Imputer(categorical_strategy='not_available',
  23600. fill_value_categorical=None,
  23601. fill_value_numerical=None,
  23602. numeric_strate...
  23603. learning_rate=0.05, max_delta_step=0,
  23604. max_depth=128, max_leaves=1024,
  23605. min_child_weight=1, missing=nan,
  23606. monotone_constraints='()', n_estimators=100,
  23607. n_jobs=-1, num_parallel_tree=1,
  23608. objective='binary:logistic', random_state=8985,
  23609. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23610. subsample=1, tree_method='gpu_hist',
  23611. use_label_encoder=True, validate_parameters=1,
  23612. verbosity=0)]],
  23613. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  23614. steps=[('dtypes',
  23615. DataTypes_Auto_infer(categorical_features=[],
  23616. display_types=True, features_todrop=[],
  23617. id_columns=[],
  23618. ml_usecase='classification',
  23619. numerical_features=[], target='label',
  23620. time_features=[])),
  23621. ('imputer',
  23622. Simple_Imputer(categorical_strategy='not_available',
  23623. fill_value_categorical=None,
  23624. fill_value_numerical=None,
  23625. numeric_strate...
  23626. target='label')),
  23627. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23628. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23629. ('dummy', Dummify(target='label')),
  23630. ('fix_perfect', Remove_100(target='label')),
  23631. ('clean_names', Clean_Colum_Names()),
  23632. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23633. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23634. verbose=False), verbose=False, kwargs={})
  23635. 2022-02-22 17:00:50,107:INFO:Adding model into prep_pipe
  23636. 2022-02-22 17:00:50,303:WARNING:Only Model saved as it was a pipeline.
  23637. 2022-02-22 17:00:50,427:INFO:my_api.pkl saved in current working directory
  23638. 2022-02-22 17:00:50,433:INFO:Pipeline(memory=None,
  23639. steps=[('dtypes',
  23640. DataTypes_Auto_infer(categorical_features=[],
  23641. display_types=True, features_todrop=[],
  23642. id_columns=[],
  23643. ml_usecase='classification',
  23644. numerical_features=[], target='label',
  23645. time_features=[])),
  23646. ('imputer',
  23647. Simple_Imputer(categorical_strategy='not_available',
  23648. fill_value_categorical=None,
  23649. fill_value_numerical=None,
  23650. numeric_strate...
  23651. learning_rate=0.05, max_delta_step=0,
  23652. max_depth=128, max_leaves=1024,
  23653. min_child_weight=1, missing=nan,
  23654. monotone_constraints='()', n_estimators=100,
  23655. n_jobs=-1, num_parallel_tree=1,
  23656. objective='binary:logistic', random_state=8985,
  23657. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23658. subsample=1, tree_method='gpu_hist',
  23659. use_label_encoder=True, validate_parameters=1,
  23660. verbosity=0)]],
  23661. verbose=False)
  23662. 2022-02-22 17:00:50,433:INFO:save_model() successfully completed......................................
  23663. 2022-02-22 17:01:37,075:INFO:Initializing load_model()
  23664. 2022-02-22 17:01:37,075:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  23665. 2022-02-22 17:02:35,496:INFO:Initializing predict_model()
  23666. 2022-02-22 17:02:35,496:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  23667. DataTypes_Auto_infer(ml_usecase='classification',
  23668. target='label')),
  23669. ('imputer',
  23670. Simple_Imputer(categorical_strategy='not_available',
  23671. fill_value_categorical=None,
  23672. fill_value_numerical=None,
  23673. numeric_strategy='mean',
  23674. target_variable=None)),
  23675. ('new_levels1',
  23676. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  23677. 'frequent',
  23678. targe...
  23679. importance_type=None, interaction_constraints='',
  23680. learning_rate=0.05, max_delta_step=0,
  23681. max_depth=128, max_leaves=1024,
  23682. min_child_weight=1, missing=nan,
  23683. monotone_constraints='()', n_estimators=100,
  23684. n_jobs=-1, num_parallel_tree=1,
  23685. random_state=8985, reg_alpha=0, reg_lambda=1,
  23686. scale_pos_weight=1, subsample=1,
  23687. tree_method='gpu_hist', validate_parameters=1,
  23688. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23689. 2022-02-22 17:02:35,496:INFO:Checking exceptions
  23690. 2022-02-22 17:02:35,497:INFO:Preloading libraries
  23691. <<<<<<< HEAD
  23692. 2022-03-02 13:13:12,591:INFO:PyCaret Supervised Module
  23693. 2022-03-02 13:13:12,592:INFO:ML Usecase: classification
  23694. 2022-03-02 13:13:12,592:INFO:version 2.3.6
  23695. 2022-03-02 13:13:12,592:INFO:Initializing setup()
  23696. 2022-03-02 13:13:12,592:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23697. 2022-03-02 13:13:12,592:INFO:Checking environment
  23698. 2022-03-02 13:13:12,592:INFO:python_version: 3.8.5
  23699. 2022-03-02 13:13:12,592:INFO:python_build: ('default', 'Sep 3 2020 21:29:08')
  23700. 2022-03-02 13:13:12,592:INFO:machine: AMD64
  23701. 2022-03-02 13:13:12,592:INFO:platform: Windows-10-10.0.22000-SP0
  23702. 2022-03-02 13:13:12,592:INFO:Memory: svmem(total=34268372992, available=23745789952, percent=30.7, used=10522583040, free=23745789952)
  23703. 2022-03-02 13:13:12,592:INFO:Physical Core: 8
  23704. 2022-03-02 13:13:12,592:INFO:Logical Core: 16
  23705. 2022-03-02 13:13:12,592:INFO:Checking libraries
  23706. 2022-03-02 13:13:12,593:INFO:pd==1.1.3
  23707. 2022-03-02 13:13:12,593:INFO:numpy==1.19.2
  23708. 2022-03-02 13:13:12,593:INFO:sklearn==0.23.2
  23709. 2022-03-02 13:13:12,593:INFO:lightgbm==3.3.2
  23710. 2022-03-02 13:13:12,593:WARNING:catboost not found
  23711. 2022-03-02 13:13:12,621:INFO:xgboost==1.5.2
  23712. 2022-03-02 13:13:13,093:INFO:mlflow==1.24.0
  23713. 2022-03-02 13:13:13,094:INFO:Checking Exceptions
  23714. 2022-03-02 13:13:13,095:INFO:Declaring global variables
  23715. 2022-03-02 13:13:13,095:INFO:USI: 9ff4
  23716. 2022-03-02 13:13:13,095:INFO:pycaret_globals: {'html_param', 'pycaret_globals', 'fold_generator', 'X_test', '_all_models_internal', 'seed', 'y_train', 'target_param', '_all_models', '_gpu_n_jobs_param', '_internal_pipeline', 'display_container', 'prep_pipe', 'log_plots_param', 'transform_target_method_param', '_ml_usecase', 'iterative_imputation_iters_param', 'fold_groups_param', 'n_jobs_param', 'transform_target_param', 'fix_imbalance_param', 'y', 'USI', '_available_plots', 'fold_shuffle_param', 'fold_param', 'master_model_container', 'create_model_container', 'stratify_param', 'X', 'logging_param', 'X_train', 'experiment__', 'imputation_classifier', 'y_test', 'fold_groups_param_full', 'exp_name_log', 'gpu_param', 'data_before_preprocess', 'fix_imbalance_method_param', 'imputation_regressor', '_all_metrics'}
  23717. 2022-03-02 13:13:13,095:INFO:Preparing display monitor
  23718. 2022-03-02 13:13:13,095:INFO:Preparing display monitor
  23719. 2022-03-02 13:13:13,109:INFO:Importing libraries
  23720. 2022-03-02 13:13:13,109:INFO:Copying data for preprocessing
  23721. 2022-03-02 13:13:13,116:INFO:Declaring preprocessing parameters
  23722. 2022-03-02 13:13:13,121:INFO:Creating preprocessing pipeline
  23723. 2022-03-02 13:13:13,197:INFO:Preprocessing pipeline created successfully
  23724. 2022-03-02 13:13:13,197:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  23725. 2022-03-02 13:13:13,197:INFO:Creating global containers
  23726. 2022-03-02 13:13:13,199:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  23727. 2022-03-02 13:13:15,041:WARNING:Couldn't import catboost.CatBoostClassifier
  23728. 2022-03-02 13:13:15,121:WARNING:Couldn't import catboost.CatBoostClassifier
  23729. 2022-03-02 13:13:15,122:INFO:Creating grid variables
  23730. 2022-03-02 13:13:15,140:INFO:create_model_container: 0
  23731. 2022-03-02 13:13:15,140:INFO:master_model_container: 0
  23732. 2022-03-02 13:13:15,140:INFO:display_container: 1
  23733. 2022-03-02 13:13:15,144:INFO:Pipeline(memory=None,
  23734. steps=[('dtypes',
  23735. DataTypes_Auto_infer(categorical_features=[],
  23736. display_types=True, features_todrop=[],
  23737. id_columns=[],
  23738. ml_usecase='classification',
  23739. numerical_features=[], target='label',
  23740. time_features=[])),
  23741. ('imputer',
  23742. Simple_Imputer(categorical_strategy='not_available',
  23743. fill_value_categorical=None,
  23744. fill_value_numerical=None,
  23745. numeric_strate...
  23746. target='label')),
  23747. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23748. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23749. ('dummy', Dummify(target='label')),
  23750. ('fix_perfect', Remove_100(target='label')),
  23751. ('clean_names', Clean_Colum_Names()),
  23752. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23753. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23754. verbose=False)
  23755. 2022-03-02 13:13:15,144:INFO:setup() succesfully completed......................................
  23756. 2022-03-02 13:13:19,457:INFO:Initializing load_model()
  23757. 2022-03-02 13:13:19,457:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23758. 2022-03-02 13:14:04,352:INFO:PyCaret Supervised Module
  23759. 2022-03-02 13:14:04,352:INFO:ML Usecase: classification
  23760. 2022-03-02 13:14:04,352:INFO:version 2.3.6
  23761. 2022-03-02 13:14:04,352:INFO:Initializing setup()
  23762. 2022-03-02 13:14:04,352:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23763. 2022-03-02 13:14:04,352:INFO:Checking environment
  23764. 2022-03-02 13:14:04,352:INFO:python_version: 3.8.5
  23765. 2022-03-02 13:14:04,352:INFO:python_build: ('default', 'Sep 3 2020 21:29:08')
  23766. 2022-03-02 13:14:04,352:INFO:machine: AMD64
  23767. 2022-03-02 13:14:04,352:INFO:platform: Windows-10-10.0.22000-SP0
  23768. 2022-03-02 13:14:04,353:INFO:Memory: svmem(total=34268372992, available=23774343168, percent=30.6, used=10494029824, free=23774343168)
  23769. 2022-03-02 13:14:04,353:INFO:Physical Core: 8
  23770. 2022-03-02 13:14:04,353:INFO:Logical Core: 16
  23771. 2022-03-02 13:14:04,353:INFO:Checking libraries
  23772. 2022-03-02 13:14:04,353:INFO:pd==1.1.3
  23773. 2022-03-02 13:14:04,353:INFO:numpy==1.19.2
  23774. 2022-03-02 13:14:04,353:INFO:sklearn==0.23.2
  23775. 2022-03-02 13:14:04,353:INFO:lightgbm==3.3.2
  23776. 2022-03-02 13:14:04,354:WARNING:catboost not found
  23777. 2022-03-02 13:14:04,374:INFO:xgboost==1.5.2
  23778. 2022-03-02 13:14:04,798:INFO:mlflow==1.24.0
  23779. 2022-03-02 13:14:04,798:INFO:Checking Exceptions
  23780. 2022-03-02 13:14:04,798:INFO:Declaring global variables
  23781. 2022-03-02 13:14:04,799:INFO:USI: a4b6
  23782. 2022-03-02 13:14:04,799:INFO:pycaret_globals: {'y_test', '_gpu_n_jobs_param', 'data_before_preprocess', 'create_model_container', 'master_model_container', 'X', 'y_train', '_all_metrics', '_all_models', 'imputation_regressor', 'imputation_classifier', 'prep_pipe', 'fold_param', 'target_param', 'X_train', 'n_jobs_param', 'y', 'html_param', 'iterative_imputation_iters_param', 'stratify_param', 'fold_groups_param_full', 'transform_target_param', '_internal_pipeline', 'gpu_param', 'display_container', '_all_models_internal', 'experiment__', 'fix_imbalance_param', 'pycaret_globals', 'seed', 'exp_name_log', 'log_plots_param', 'fold_shuffle_param', '_ml_usecase', '_available_plots', 'USI', 'transform_target_method_param', 'X_test', 'fold_generator', 'logging_param', 'fold_groups_param', 'fix_imbalance_method_param'}
  23783. 2022-03-02 13:14:04,799:INFO:Preparing display monitor
  23784. 2022-03-02 13:14:04,799:INFO:Preparing display monitor
  23785. 2022-03-02 13:14:04,811:INFO:Importing libraries
  23786. 2022-03-02 13:14:04,811:INFO:Copying data for preprocessing
  23787. 2022-03-02 13:14:04,817:INFO:Declaring preprocessing parameters
  23788. 2022-03-02 13:14:04,821:INFO:Creating preprocessing pipeline
  23789. 2022-03-02 13:14:04,890:INFO:Preprocessing pipeline created successfully
  23790. 2022-03-02 13:14:04,891:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  23791. 2022-03-02 13:14:04,891:INFO:Creating global containers
  23792. 2022-03-02 13:14:04,892:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  23793. 2022-03-02 13:14:07,662:WARNING:Couldn't import catboost.CatBoostClassifier
  23794. 2022-03-02 13:14:07,741:WARNING:Couldn't import catboost.CatBoostClassifier
  23795. 2022-03-02 13:14:07,741:INFO:Creating grid variables
  23796. 2022-03-02 13:14:07,758:INFO:create_model_container: 0
  23797. 2022-03-02 13:14:07,758:INFO:master_model_container: 0
  23798. 2022-03-02 13:14:07,758:INFO:display_container: 1
  23799. 2022-03-02 13:14:07,762:INFO:Pipeline(memory=None,
  23800. steps=[('dtypes',
  23801. DataTypes_Auto_infer(categorical_features=[],
  23802. display_types=True, features_todrop=[],
  23803. id_columns=[],
  23804. ml_usecase='classification',
  23805. numerical_features=[], target='label',
  23806. time_features=[])),
  23807. ('imputer',
  23808. Simple_Imputer(categorical_strategy='not_available',
  23809. fill_value_categorical=None,
  23810. fill_value_numerical=None,
  23811. numeric_strate...
  23812. target='label')),
  23813. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23814. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23815. ('dummy', Dummify(target='label')),
  23816. ('fix_perfect', Remove_100(target='label')),
  23817. ('clean_names', Clean_Colum_Names()),
  23818. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23819. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23820. verbose=False)
  23821. 2022-03-02 13:14:07,762:INFO:setup() succesfully completed......................................
  23822. 2022-03-02 13:14:12,110:INFO:Initializing load_model()
  23823. 2022-03-02 13:14:12,110:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23824. 2022-03-02 13:18:09,962:INFO:PyCaret Supervised Module
  23825. 2022-03-02 13:18:09,962:INFO:ML Usecase: classification
  23826. 2022-03-02 13:18:09,962:INFO:version 2.3.6
  23827. 2022-03-02 13:18:09,962:INFO:Initializing setup()
  23828. 2022-03-02 13:18:09,962:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23829. 2022-03-02 13:18:09,962:INFO:Checking environment
  23830. 2022-03-02 13:18:09,962:INFO:python_version: 3.8.5
  23831. 2022-03-02 13:18:09,962:INFO:python_build: ('default', 'Sep 3 2020 21:29:08')
  23832. 2022-03-02 13:18:09,962:INFO:machine: AMD64
  23833. 2022-03-02 13:18:09,962:INFO:platform: Windows-10-10.0.22000-SP0
  23834. 2022-03-02 13:18:09,963:INFO:Memory: svmem(total=34268372992, available=23508295680, percent=31.4, used=10760077312, free=23508295680)
  23835. 2022-03-02 13:18:09,963:INFO:Physical Core: 8
  23836. 2022-03-02 13:18:09,963:INFO:Logical Core: 16
  23837. 2022-03-02 13:18:09,963:INFO:Checking libraries
  23838. 2022-03-02 13:18:09,963:INFO:pd==1.1.3
  23839. 2022-03-02 13:18:09,963:INFO:numpy==1.19.2
  23840. 2022-03-02 13:18:09,963:INFO:sklearn==0.23.2
  23841. 2022-03-02 13:18:09,963:INFO:lightgbm==3.3.2
  23842. 2022-03-02 13:18:09,964:WARNING:catboost not found
  23843. 2022-03-02 13:18:09,985:INFO:xgboost==1.5.2
  23844. 2022-03-02 13:18:10,410:INFO:mlflow==1.24.0
  23845. 2022-03-02 13:18:10,410:INFO:Checking Exceptions
  23846. 2022-03-02 13:18:10,410:INFO:Declaring global variables
  23847. 2022-03-02 13:18:10,410:INFO:USI: 0180
  23848. 2022-03-02 13:18:10,410:INFO:pycaret_globals: {'seed', 'fold_param', 'target_param', '_internal_pipeline', '_ml_usecase', '_available_plots', 'fold_shuffle_param', 'y_train', '_all_metrics', 'X', 'iterative_imputation_iters_param', 'display_container', 'fix_imbalance_param', 'USI', 'fold_groups_param_full', 'fold_groups_param', '_all_models_internal', 'transform_target_param', '_all_models', 'X_test', 'html_param', 'logging_param', 'imputation_regressor', 'stratify_param', 'master_model_container', 'exp_name_log', 'transform_target_method_param', '_gpu_n_jobs_param', 'experiment__', 'log_plots_param', 'fold_generator', 'prep_pipe', 'n_jobs_param', 'gpu_param', 'y', 'y_test', 'imputation_classifier', 'create_model_container', 'data_before_preprocess', 'X_train', 'fix_imbalance_method_param', 'pycaret_globals'}
  23849. 2022-03-02 13:18:10,410:INFO:Preparing display monitor
  23850. 2022-03-02 13:18:10,410:INFO:Preparing display monitor
  23851. 2022-03-02 13:18:10,423:INFO:Importing libraries
  23852. 2022-03-02 13:18:10,423:INFO:Copying data for preprocessing
  23853. 2022-03-02 13:18:10,430:INFO:Declaring preprocessing parameters
  23854. 2022-03-02 13:18:10,433:INFO:Creating preprocessing pipeline
  23855. 2022-03-02 13:18:10,506:INFO:Preprocessing pipeline created successfully
  23856. 2022-03-02 13:18:10,506:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  23857. 2022-03-02 13:18:10,506:INFO:Creating global containers
  23858. 2022-03-02 13:18:10,508:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  23859. 2022-03-02 13:18:11,449:WARNING:Couldn't import catboost.CatBoostClassifier
  23860. 2022-03-02 13:18:11,529:WARNING:Couldn't import catboost.CatBoostClassifier
  23861. 2022-03-02 13:18:11,529:INFO:Creating grid variables
  23862. 2022-03-02 13:18:11,546:INFO:create_model_container: 0
  23863. 2022-03-02 13:18:11,546:INFO:master_model_container: 0
  23864. 2022-03-02 13:18:11,546:INFO:display_container: 1
  23865. 2022-03-02 13:18:11,551:INFO:Pipeline(memory=None,
  23866. steps=[('dtypes',
  23867. DataTypes_Auto_infer(categorical_features=[],
  23868. display_types=True, features_todrop=[],
  23869. id_columns=[],
  23870. ml_usecase='classification',
  23871. numerical_features=[], target='label',
  23872. time_features=[])),
  23873. ('imputer',
  23874. Simple_Imputer(categorical_strategy='not_available',
  23875. fill_value_categorical=None,
  23876. fill_value_numerical=None,
  23877. numeric_strate...
  23878. target='label')),
  23879. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  23880. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  23881. ('dummy', Dummify(target='label')),
  23882. ('fix_perfect', Remove_100(target='label')),
  23883. ('clean_names', Clean_Colum_Names()),
  23884. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  23885. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  23886. verbose=False)
  23887. 2022-03-02 13:18:11,551:INFO:setup() succesfully completed......................................
  23888. 2022-03-02 13:18:16,659:INFO:Initializing load_model()
  23889. 2022-03-02 13:18:16,659:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23890. 2022-03-02 16:45:51,561:INFO:PyCaret Supervised Module
  23891. 2022-03-02 16:45:51,608:INFO:ML Usecase: classification
  23892. 2022-03-02 16:45:51,609:INFO:version 2.2.3
  23893. 2022-03-02 16:45:51,609:INFO:Initializing setup()
  23894. 2022-03-02 16:45:51,609:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23895. 2022-03-02 16:45:51,609:INFO:Checking environment
  23896. 2022-03-02 16:45:51,609:INFO:python_version: 3.9.7
  23897. 2022-03-02 16:45:51,609:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  23898. 2022-03-02 16:45:51,609:INFO:machine: AMD64
  23899. 2022-03-02 16:45:51,609:INFO:platform: Windows-10-10.0.22000-SP0
  23900. 2022-03-02 16:45:51,609:INFO:Memory: svmem(total=34268372992, available=19471544320, percent=43.2, used=14796828672, free=19471544320)
  23901. 2022-03-02 16:45:51,609:INFO:Physical Core: 8
  23902. 2022-03-02 16:45:51,610:INFO:Logical Core: 16
  23903. 2022-03-02 16:45:51,610:INFO:Checking libraries
  23904. 2022-03-02 16:45:51,610:INFO:pd==1.3.4
  23905. 2022-03-02 16:45:51,610:INFO:numpy==1.20.3
  23906. 2022-03-02 16:45:51,610:INFO:sklearn==0.24.2
  23907. 2022-03-02 16:45:51,655:INFO:xgboost==1.5.1
  23908. 2022-03-02 16:45:51,655:INFO:lightgbm==3.3.2
  23909. 2022-03-02 16:45:51,699:INFO:catboost==1.0.4
  23910. 2022-03-02 16:45:53,141:INFO:mlflow==1.24.0
  23911. 2022-03-02 16:45:53,142:INFO:Checking Exceptions
  23912. 2022-03-02 16:45:53,144:INFO:Declaring global variables
  23913. 2022-03-02 16:45:53,144:INFO:USI: a3f6
  23914. 2022-03-02 16:45:53,144:INFO:pycaret_globals: {'exp_name_log', 'y_train', 'master_model_container', 'logging_param', '_all_models_internal', 'imputation_regressor', 'transform_target_method_param', '_gpu_n_jobs_param', 'fix_imbalance_method_param', 'fold_groups_param', 'fix_imbalance_param', 'create_model_container', 'seed', 'fold_param', 'X', 'imputation_classifier', 'USI', 'transform_target_param', 'experiment__', '_available_plots', 'fold_shuffle_param', 'html_param', 'y_test', 'iterative_imputation_iters_param', 'X_test', 'display_container', 'prep_pipe', '_internal_pipeline', 'target_param', 'data_before_preprocess', 'n_jobs_param', 'pycaret_globals', 'stratify_param', 'fold_generator', '_ml_usecase', 'X_train', 'log_plots_param', '_all_models', 'y', '_all_metrics', 'gpu_param'}
  23915. 2022-03-02 16:45:53,144:INFO:Preparing display monitor
  23916. 2022-03-02 16:45:53,145:INFO:Preparing display monitor
  23917. 2022-03-02 16:45:53,169:INFO:Importing libraries
  23918. 2022-03-02 16:45:53,169:INFO:Copying data for preprocessing
  23919. 2022-03-02 16:45:53,182:INFO:Declaring preprocessing parameters
  23920. 2022-03-02 16:45:53,189:INFO:Creating preprocessing pipeline
  23921. 2022-03-02 16:45:53,284:INFO:Preprocessing pipeline created successfully
  23922. 2022-03-02 16:45:53,284:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  23923. 2022-03-02 16:45:53,284:INFO:Creating global containers
  23924. 2022-03-02 16:46:02,206:INFO:PyCaret Supervised Module
  23925. 2022-03-02 16:46:02,206:INFO:ML Usecase: classification
  23926. 2022-03-02 16:46:02,206:INFO:version 2.2.3
  23927. 2022-03-02 16:46:02,206:INFO:Initializing setup()
  23928. 2022-03-02 16:46:02,206:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23929. 2022-03-02 16:46:02,207:INFO:Checking environment
  23930. 2022-03-02 16:46:02,207:INFO:python_version: 3.9.7
  23931. 2022-03-02 16:46:02,207:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  23932. 2022-03-02 16:46:02,207:INFO:machine: AMD64
  23933. 2022-03-02 16:46:02,207:INFO:platform: Windows-10-10.0.22000-SP0
  23934. 2022-03-02 16:46:02,207:INFO:Memory: svmem(total=34268372992, available=19373826048, percent=43.5, used=14894546944, free=19373826048)
  23935. 2022-03-02 16:46:02,207:INFO:Physical Core: 8
  23936. 2022-03-02 16:46:02,207:INFO:Logical Core: 16
  23937. 2022-03-02 16:46:02,207:INFO:Checking libraries
  23938. 2022-03-02 16:46:02,207:INFO:pd==1.3.4
  23939. 2022-03-02 16:46:02,207:INFO:numpy==1.20.3
  23940. 2022-03-02 16:46:02,207:INFO:sklearn==0.24.2
  23941. 2022-03-02 16:46:02,207:INFO:xgboost==1.5.1
  23942. 2022-03-02 16:46:02,208:INFO:lightgbm==3.3.2
  23943. 2022-03-02 16:46:02,208:INFO:catboost==1.0.4
  23944. 2022-03-02 16:46:02,208:INFO:mlflow==1.24.0
  23945. 2022-03-02 16:46:02,208:INFO:Checking Exceptions
  23946. 2022-03-02 16:46:02,208:INFO:Declaring global variables
  23947. 2022-03-02 16:46:02,208:INFO:USI: 06d2
  23948. 2022-03-02 16:46:02,208:INFO:pycaret_globals: {'exp_name_log', 'y_train', 'master_model_container', 'logging_param', '_all_models_internal', 'imputation_regressor', 'transform_target_method_param', '_gpu_n_jobs_param', 'fix_imbalance_method_param', 'fold_groups_param', 'fix_imbalance_param', 'create_model_container', 'seed', 'fold_param', 'X', 'imputation_classifier', 'USI', 'transform_target_param', 'experiment__', '_available_plots', 'fold_shuffle_param', 'html_param', 'y_test', 'iterative_imputation_iters_param', 'X_test', 'display_container', 'prep_pipe', '_internal_pipeline', 'target_param', 'data_before_preprocess', 'n_jobs_param', 'pycaret_globals', 'stratify_param', 'fold_generator', '_ml_usecase', 'X_train', 'log_plots_param', '_all_models', 'y', '_all_metrics', 'gpu_param'}
  23949. 2022-03-02 16:46:02,208:INFO:Preparing display monitor
  23950. 2022-03-02 16:46:02,208:INFO:Preparing display monitor
  23951. 2022-03-02 16:46:02,224:INFO:Importing libraries
  23952. 2022-03-02 16:46:02,224:INFO:Copying data for preprocessing
  23953. 2022-03-02 16:46:02,237:INFO:Declaring preprocessing parameters
  23954. 2022-03-02 16:46:02,245:INFO:Creating preprocessing pipeline
  23955. 2022-03-02 16:46:02,339:INFO:Preprocessing pipeline created successfully
  23956. 2022-03-02 16:46:02,339:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  23957. 2022-03-02 16:46:02,340:INFO:Creating global containers
  23958. 2022-03-02 16:46:24,103:INFO:PyCaret Supervised Module
  23959. 2022-03-02 16:46:24,103:INFO:ML Usecase: classification
  23960. 2022-03-02 16:46:24,103:INFO:version 2.2.3
  23961. 2022-03-02 16:46:24,103:INFO:Initializing setup()
  23962. 2022-03-02 16:46:24,103:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23963. 2022-03-02 16:46:24,103:INFO:Checking environment
  23964. 2022-03-02 16:46:24,103:INFO:python_version: 3.9.7
  23965. 2022-03-02 16:46:24,103:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  23966. 2022-03-02 16:46:24,103:INFO:machine: AMD64
  23967. 2022-03-02 16:46:24,103:INFO:platform: Windows-10-10.0.22000-SP0
  23968. 2022-03-02 16:46:24,104:INFO:Memory: svmem(total=34268372992, available=19356192768, percent=43.5, used=14912180224, free=19356192768)
  23969. 2022-03-02 16:46:24,104:INFO:Physical Core: 8
  23970. 2022-03-02 16:46:24,104:INFO:Logical Core: 16
  23971. 2022-03-02 16:46:24,104:INFO:Checking libraries
  23972. 2022-03-02 16:46:24,104:INFO:pd==1.3.4
  23973. 2022-03-02 16:46:24,104:INFO:numpy==1.20.3
  23974. 2022-03-02 16:46:24,104:INFO:sklearn==0.24.2
  23975. 2022-03-02 16:46:24,104:INFO:xgboost==1.5.1
  23976. 2022-03-02 16:46:24,104:INFO:lightgbm==3.3.2
  23977. 2022-03-02 16:46:24,104:INFO:catboost==1.0.4
  23978. 2022-03-02 16:46:24,104:INFO:mlflow==1.24.0
  23979. 2022-03-02 16:46:24,104:INFO:Checking Exceptions
  23980. 2022-03-02 16:46:24,104:INFO:Declaring global variables
  23981. 2022-03-02 16:46:24,105:INFO:USI: 626d
  23982. 2022-03-02 16:46:24,105:INFO:pycaret_globals: {'exp_name_log', 'y_train', 'master_model_container', 'logging_param', '_all_models_internal', 'imputation_regressor', 'transform_target_method_param', '_gpu_n_jobs_param', 'fix_imbalance_method_param', 'fold_groups_param', 'fix_imbalance_param', 'create_model_container', 'seed', 'fold_param', 'X', 'imputation_classifier', 'USI', 'transform_target_param', 'experiment__', '_available_plots', 'fold_shuffle_param', 'html_param', 'y_test', 'iterative_imputation_iters_param', 'X_test', 'display_container', 'prep_pipe', '_internal_pipeline', 'target_param', 'data_before_preprocess', 'n_jobs_param', 'pycaret_globals', 'stratify_param', 'fold_generator', '_ml_usecase', 'X_train', 'log_plots_param', '_all_models', 'y', '_all_metrics', 'gpu_param'}
  23983. 2022-03-02 16:46:24,105:INFO:Preparing display monitor
  23984. 2022-03-02 16:46:24,105:INFO:Preparing display monitor
  23985. 2022-03-02 16:46:24,126:INFO:Importing libraries
  23986. 2022-03-02 16:46:24,126:INFO:Copying data for preprocessing
  23987. 2022-03-02 16:46:24,140:INFO:Declaring preprocessing parameters
  23988. 2022-03-02 16:46:24,147:INFO:Creating preprocessing pipeline
  23989. 2022-03-02 16:46:24,243:INFO:Preprocessing pipeline created successfully
  23990. 2022-03-02 16:46:24,243:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  23991. 2022-03-02 16:46:24,243:INFO:Creating global containers
  23992. 2022-03-02 16:46:47,579:INFO:PyCaret Supervised Module
  23993. 2022-03-02 16:46:47,580:INFO:ML Usecase: classification
  23994. 2022-03-02 16:46:47,580:INFO:version 2.2.3
  23995. 2022-03-02 16:46:47,580:INFO:Initializing setup()
  23996. 2022-03-02 16:46:47,580:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  23997. 2022-03-02 16:46:47,580:INFO:Checking environment
  23998. 2022-03-02 16:46:47,580:INFO:python_version: 3.9.7
  23999. 2022-03-02 16:46:47,580:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24000. 2022-03-02 16:46:47,580:INFO:machine: AMD64
  24001. 2022-03-02 16:46:47,580:INFO:platform: Windows-10-10.0.22000-SP0
  24002. 2022-03-02 16:46:47,580:INFO:Memory: svmem(total=34268372992, available=19422863360, percent=43.3, used=14845509632, free=19422863360)
  24003. 2022-03-02 16:46:47,580:INFO:Physical Core: 8
  24004. 2022-03-02 16:46:47,580:INFO:Logical Core: 16
  24005. 2022-03-02 16:46:47,580:INFO:Checking libraries
  24006. 2022-03-02 16:46:47,580:INFO:pd==1.3.4
  24007. 2022-03-02 16:46:47,580:INFO:numpy==1.20.3
  24008. 2022-03-02 16:46:47,581:INFO:sklearn==0.24.2
  24009. 2022-03-02 16:46:47,623:INFO:xgboost==1.5.1
  24010. 2022-03-02 16:46:47,623:INFO:lightgbm==3.3.2
  24011. 2022-03-02 16:46:47,653:INFO:catboost==1.0.4
  24012. 2022-03-02 16:46:49,126:INFO:mlflow==1.24.0
  24013. 2022-03-02 16:46:49,127:INFO:Checking Exceptions
  24014. 2022-03-02 16:46:49,127:INFO:Declaring global variables
  24015. 2022-03-02 16:46:49,127:INFO:USI: 480d
  24016. 2022-03-02 16:46:49,127:INFO:pycaret_globals: {'X', 'html_param', 'prep_pipe', 'USI', '_all_metrics', 'fix_imbalance_method_param', 'n_jobs_param', 'create_model_container', 'transform_target_method_param', 'imputation_regressor', 'imputation_classifier', 'transform_target_param', 'target_param', '_gpu_n_jobs_param', 'y_train', 'fold_param', 'log_plots_param', 'data_before_preprocess', 'fold_shuffle_param', 'logging_param', 'display_container', '_internal_pipeline', 'experiment__', 'fold_groups_param', 'exp_name_log', 'master_model_container', 'y_test', 'fix_imbalance_param', 'X_train', '_available_plots', 'gpu_param', '_all_models_internal', 'pycaret_globals', 'iterative_imputation_iters_param', 'X_test', '_all_models', 'y', 'seed', 'stratify_param', '_ml_usecase', 'fold_generator'}
  24017. 2022-03-02 16:46:49,127:INFO:Preparing display monitor
  24018. 2022-03-02 16:46:49,127:INFO:Preparing display monitor
  24019. 2022-03-02 16:46:49,149:INFO:Importing libraries
  24020. 2022-03-02 16:46:49,150:INFO:Copying data for preprocessing
  24021. 2022-03-02 16:46:49,163:INFO:Declaring preprocessing parameters
  24022. 2022-03-02 16:46:49,170:INFO:Creating preprocessing pipeline
  24023. 2022-03-02 16:46:49,267:INFO:Preprocessing pipeline created successfully
  24024. 2022-03-02 16:46:49,268:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24025. 2022-03-02 16:46:49,268:INFO:Creating global containers
  24026. 2022-03-02 16:47:18,016:INFO:PyCaret Supervised Module
  24027. 2022-03-02 16:47:18,016:INFO:ML Usecase: classification
  24028. 2022-03-02 16:47:18,016:INFO:version 2.2.3
  24029. 2022-03-02 16:47:18,016:INFO:Initializing setup()
  24030. 2022-03-02 16:47:18,016:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24031. 2022-03-02 16:47:18,017:INFO:Checking environment
  24032. 2022-03-02 16:47:18,017:INFO:python_version: 3.9.7
  24033. 2022-03-02 16:47:18,017:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24034. 2022-03-02 16:47:18,017:INFO:machine: AMD64
  24035. 2022-03-02 16:47:18,017:INFO:platform: Windows-10-10.0.22000-SP0
  24036. 2022-03-02 16:47:18,017:INFO:Memory: svmem(total=34268372992, available=19358998528, percent=43.5, used=14909374464, free=19358998528)
  24037. 2022-03-02 16:47:18,017:INFO:Physical Core: 8
  24038. 2022-03-02 16:47:18,017:INFO:Logical Core: 16
  24039. 2022-03-02 16:47:18,017:INFO:Checking libraries
  24040. 2022-03-02 16:47:18,017:INFO:pd==1.3.4
  24041. 2022-03-02 16:47:18,017:INFO:numpy==1.20.3
  24042. 2022-03-02 16:47:18,017:INFO:sklearn==0.24.2
  24043. 2022-03-02 16:47:18,017:INFO:xgboost==1.5.1
  24044. 2022-03-02 16:47:18,017:INFO:lightgbm==3.3.2
  24045. 2022-03-02 16:47:18,017:INFO:catboost==1.0.4
  24046. 2022-03-02 16:47:18,017:INFO:mlflow==1.24.0
  24047. 2022-03-02 16:47:18,018:INFO:Checking Exceptions
  24048. 2022-03-02 16:47:18,018:INFO:Declaring global variables
  24049. 2022-03-02 16:47:18,018:INFO:USI: c089
  24050. 2022-03-02 16:47:18,018:INFO:pycaret_globals: {'X', 'html_param', 'prep_pipe', 'USI', '_all_metrics', 'fix_imbalance_method_param', 'n_jobs_param', 'create_model_container', 'transform_target_method_param', 'imputation_regressor', 'imputation_classifier', 'transform_target_param', 'target_param', '_gpu_n_jobs_param', 'y_train', 'fold_param', 'log_plots_param', 'data_before_preprocess', 'fold_shuffle_param', 'logging_param', 'display_container', '_internal_pipeline', 'experiment__', 'fold_groups_param', 'exp_name_log', 'master_model_container', 'y_test', 'fix_imbalance_param', 'X_train', '_available_plots', 'gpu_param', '_all_models_internal', 'pycaret_globals', 'iterative_imputation_iters_param', 'X_test', '_all_models', 'y', 'seed', 'stratify_param', '_ml_usecase', 'fold_generator'}
  24051. 2022-03-02 16:47:18,018:INFO:Preparing display monitor
  24052. 2022-03-02 16:47:18,018:INFO:Preparing display monitor
  24053. 2022-03-02 16:47:18,034:INFO:Importing libraries
  24054. 2022-03-02 16:47:18,034:INFO:Copying data for preprocessing
  24055. 2022-03-02 16:47:18,049:INFO:Declaring preprocessing parameters
  24056. 2022-03-02 16:47:18,057:INFO:Creating preprocessing pipeline
  24057. 2022-03-02 16:47:18,152:INFO:Preprocessing pipeline created successfully
  24058. 2022-03-02 16:47:18,152:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24059. 2022-03-02 16:47:18,152:INFO:Creating global containers
  24060. 2022-03-02 16:47:52,913:INFO:PyCaret Supervised Module
  24061. 2022-03-02 16:47:52,913:INFO:ML Usecase: classification
  24062. 2022-03-02 16:47:52,913:INFO:version 2.2.3
  24063. 2022-03-02 16:47:52,913:INFO:Initializing setup()
  24064. 2022-03-02 16:47:52,913:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24065. 2022-03-02 16:47:52,914:INFO:Checking environment
  24066. 2022-03-02 16:47:52,914:INFO:python_version: 3.9.7
  24067. 2022-03-02 16:47:52,914:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24068. 2022-03-02 16:47:52,914:INFO:machine: AMD64
  24069. 2022-03-02 16:47:52,914:INFO:platform: Windows-10-10.0.22000-SP0
  24070. 2022-03-02 16:47:52,914:INFO:Memory: svmem(total=34268372992, available=19339452416, percent=43.6, used=14928920576, free=19339452416)
  24071. 2022-03-02 16:47:52,914:INFO:Physical Core: 8
  24072. 2022-03-02 16:47:52,914:INFO:Logical Core: 16
  24073. 2022-03-02 16:47:52,914:INFO:Checking libraries
  24074. 2022-03-02 16:47:52,914:INFO:pd==1.3.4
  24075. 2022-03-02 16:47:52,914:INFO:numpy==1.20.3
  24076. 2022-03-02 16:47:52,914:INFO:sklearn==0.24.2
  24077. 2022-03-02 16:47:52,914:INFO:xgboost==1.5.1
  24078. 2022-03-02 16:47:52,914:INFO:lightgbm==3.3.2
  24079. 2022-03-02 16:47:52,914:INFO:catboost==1.0.4
  24080. 2022-03-02 16:47:52,915:INFO:mlflow==1.24.0
  24081. 2022-03-02 16:47:52,915:INFO:Checking Exceptions
  24082. 2022-03-02 16:47:52,915:INFO:Declaring global variables
  24083. 2022-03-02 16:47:52,915:INFO:USI: 034e
  24084. 2022-03-02 16:47:52,915:INFO:pycaret_globals: {'X', 'html_param', 'prep_pipe', 'USI', '_all_metrics', 'fix_imbalance_method_param', 'n_jobs_param', 'create_model_container', 'transform_target_method_param', 'imputation_regressor', 'imputation_classifier', 'transform_target_param', 'target_param', '_gpu_n_jobs_param', 'y_train', 'fold_param', 'log_plots_param', 'data_before_preprocess', 'fold_shuffle_param', 'logging_param', 'display_container', '_internal_pipeline', 'experiment__', 'fold_groups_param', 'exp_name_log', 'master_model_container', 'y_test', 'fix_imbalance_param', 'X_train', '_available_plots', 'gpu_param', '_all_models_internal', 'pycaret_globals', 'iterative_imputation_iters_param', 'X_test', '_all_models', 'y', 'seed', 'stratify_param', '_ml_usecase', 'fold_generator'}
  24085. 2022-03-02 16:47:52,915:INFO:Preparing display monitor
  24086. 2022-03-02 16:47:52,915:INFO:Preparing display monitor
  24087. 2022-03-02 16:47:52,935:INFO:Importing libraries
  24088. 2022-03-02 16:47:52,935:INFO:Copying data for preprocessing
  24089. 2022-03-02 16:47:52,949:INFO:Declaring preprocessing parameters
  24090. 2022-03-02 16:47:52,956:INFO:Creating preprocessing pipeline
  24091. 2022-03-02 16:47:53,053:INFO:Preprocessing pipeline created successfully
  24092. 2022-03-02 16:47:53,054:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24093. 2022-03-02 16:47:53,054:INFO:Creating global containers
  24094. 2022-03-02 16:48:59,610:INFO:PyCaret Supervised Module
  24095. 2022-03-02 16:48:59,610:INFO:ML Usecase: classification
  24096. 2022-03-02 16:48:59,610:INFO:version 2.2.3
  24097. 2022-03-02 16:48:59,610:INFO:Initializing setup()
  24098. 2022-03-02 16:48:59,610:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24099. 2022-03-02 16:48:59,611:INFO:Checking environment
  24100. 2022-03-02 16:48:59,611:INFO:python_version: 3.9.7
  24101. 2022-03-02 16:48:59,611:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24102. 2022-03-02 16:48:59,611:INFO:machine: AMD64
  24103. 2022-03-02 16:48:59,611:INFO:platform: Windows-10-10.0.22000-SP0
  24104. 2022-03-02 16:48:59,611:INFO:Memory: svmem(total=34268372992, available=19293986816, percent=43.7, used=14974386176, free=19293986816)
  24105. 2022-03-02 16:48:59,611:INFO:Physical Core: 8
  24106. 2022-03-02 16:48:59,611:INFO:Logical Core: 16
  24107. 2022-03-02 16:48:59,611:INFO:Checking libraries
  24108. 2022-03-02 16:48:59,611:INFO:pd==1.3.4
  24109. 2022-03-02 16:48:59,611:INFO:numpy==1.20.3
  24110. 2022-03-02 16:48:59,611:INFO:sklearn==0.24.2
  24111. 2022-03-02 16:48:59,651:INFO:xgboost==1.5.1
  24112. 2022-03-02 16:48:59,651:INFO:lightgbm==3.3.2
  24113. 2022-03-02 16:48:59,679:INFO:catboost==1.0.4
  24114. 2022-03-02 16:49:01,108:INFO:mlflow==1.24.0
  24115. 2022-03-02 16:49:01,109:INFO:Checking Exceptions
  24116. 2022-03-02 16:49:01,109:INFO:Declaring global variables
  24117. 2022-03-02 16:49:01,109:INFO:USI: 4599
  24118. 2022-03-02 16:49:01,110:INFO:pycaret_globals: {'fold_groups_param', 'exp_name_log', 'experiment__', 'logging_param', 'transform_target_method_param', 'seed', '_all_models_internal', 'html_param', '_all_metrics', 'y_train', 'imputation_regressor', 'fold_shuffle_param', 'X_test', 'log_plots_param', '_gpu_n_jobs_param', 'master_model_container', 'target_param', 'fold_generator', 'USI', '_ml_usecase', 'create_model_container', 'stratify_param', 'y', '_all_models', 'fix_imbalance_param', 'prep_pipe', 'pycaret_globals', 'gpu_param', '_internal_pipeline', 'iterative_imputation_iters_param', 'X', '_available_plots', 'fix_imbalance_method_param', 'X_train', 'y_test', 'fold_param', 'imputation_classifier', 'display_container', 'data_before_preprocess', 'n_jobs_param', 'transform_target_param'}
  24119. 2022-03-02 16:49:01,110:INFO:Preparing display monitor
  24120. 2022-03-02 16:49:01,110:INFO:Preparing display monitor
  24121. 2022-03-02 16:49:01,132:INFO:Importing libraries
  24122. 2022-03-02 16:49:01,132:INFO:Copying data for preprocessing
  24123. 2022-03-02 16:49:01,145:INFO:Declaring preprocessing parameters
  24124. 2022-03-02 16:49:01,152:INFO:Creating preprocessing pipeline
  24125. 2022-03-02 16:49:01,242:INFO:Preprocessing pipeline created successfully
  24126. 2022-03-02 16:49:01,243:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24127. 2022-03-02 16:49:01,243:INFO:Creating global containers
  24128. 2022-03-02 16:57:15,626:INFO:PyCaret Supervised Module
  24129. 2022-03-02 16:57:15,626:INFO:ML Usecase: classification
  24130. 2022-03-02 16:57:15,626:INFO:version 2.2.3
  24131. 2022-03-02 16:57:15,626:INFO:Initializing setup()
  24132. 2022-03-02 16:57:15,626:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24133. 2022-03-02 16:57:15,626:INFO:Checking environment
  24134. 2022-03-02 16:57:15,626:INFO:python_version: 3.9.7
  24135. 2022-03-02 16:57:15,626:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24136. 2022-03-02 16:57:15,626:INFO:machine: AMD64
  24137. 2022-03-02 16:57:15,626:INFO:platform: Windows-10-10.0.22000-SP0
  24138. 2022-03-02 16:57:15,626:INFO:Memory: svmem(total=34268372992, available=22981742592, percent=32.9, used=11286630400, free=22981742592)
  24139. 2022-03-02 16:57:15,626:INFO:Physical Core: 8
  24140. 2022-03-02 16:57:15,626:INFO:Logical Core: 16
  24141. 2022-03-02 16:57:15,626:INFO:Checking libraries
  24142. 2022-03-02 16:57:15,627:INFO:pd==1.3.4
  24143. 2022-03-02 16:57:15,627:INFO:numpy==1.20.3
  24144. 2022-03-02 16:57:15,627:INFO:sklearn==0.24.2
  24145. 2022-03-02 16:57:15,668:INFO:xgboost==1.5.1
  24146. 2022-03-02 16:57:15,668:INFO:lightgbm==3.3.2
  24147. 2022-03-02 16:57:15,778:INFO:catboost==1.0.4
  24148. 2022-03-02 16:57:16,456:INFO:mlflow==1.24.0
  24149. 2022-03-02 16:57:16,456:INFO:Checking Exceptions
  24150. 2022-03-02 16:57:16,458:INFO:Declaring global variables
  24151. 2022-03-02 16:57:16,458:INFO:USI: 09c2
  24152. 2022-03-02 16:57:16,458:INFO:pycaret_globals: {'experiment__', 'gpu_param', 'html_param', 'data_before_preprocess', 'exp_name_log', 'master_model_container', 'y', 'display_container', '_all_metrics', 'fix_imbalance_param', 'USI', 'X', 'imputation_regressor', 'stratify_param', 'log_plots_param', 'fix_imbalance_method_param', 'pycaret_globals', 'y_train', '_gpu_n_jobs_param', '_internal_pipeline', 'iterative_imputation_iters_param', 'transform_target_param', 'fold_param', 'y_test', 'seed', '_all_models_internal', 'n_jobs_param', 'fold_shuffle_param', 'create_model_container', 'transform_target_method_param', 'fold_generator', 'imputation_classifier', '_available_plots', 'target_param', 'X_test', 'fold_groups_param', 'prep_pipe', '_ml_usecase', 'X_train', '_all_models', 'logging_param'}
  24153. 2022-03-02 16:57:16,458:INFO:Preparing display monitor
  24154. 2022-03-02 16:57:16,458:INFO:Preparing display monitor
  24155. 2022-03-02 16:57:16,470:INFO:Importing libraries
  24156. 2022-03-02 16:57:16,471:INFO:Copying data for preprocessing
  24157. 2022-03-02 16:57:16,477:INFO:Declaring preprocessing parameters
  24158. 2022-03-02 16:57:16,481:INFO:Creating preprocessing pipeline
  24159. 2022-03-02 16:57:16,539:INFO:Preprocessing pipeline created successfully
  24160. 2022-03-02 16:57:16,540:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24161. 2022-03-02 16:57:16,540:INFO:Creating global containers
  24162. 2022-03-02 16:58:30,598:INFO:PyCaret Supervised Module
  24163. 2022-03-02 16:58:30,598:INFO:ML Usecase: classification
  24164. 2022-03-02 16:58:30,598:INFO:version 2.2.3
  24165. 2022-03-02 16:58:30,598:INFO:Initializing setup()
  24166. 2022-03-02 16:58:30,598:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=True, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24167. 2022-03-02 16:58:30,598:INFO:Checking environment
  24168. 2022-03-02 16:58:30,598:INFO:python_version: 3.9.7
  24169. 2022-03-02 16:58:30,598:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24170. 2022-03-02 16:58:30,598:INFO:machine: AMD64
  24171. 2022-03-02 16:58:30,598:INFO:platform: Windows-10-10.0.22000-SP0
  24172. 2022-03-02 16:58:30,598:INFO:Memory: svmem(total=34268372992, available=21998092288, percent=35.8, used=12270280704, free=21998092288)
  24173. 2022-03-02 16:58:30,599:INFO:Physical Core: 8
  24174. 2022-03-02 16:58:30,599:INFO:Logical Core: 16
  24175. 2022-03-02 16:58:30,599:INFO:Checking libraries
  24176. 2022-03-02 16:58:30,599:INFO:pd==1.3.4
  24177. 2022-03-02 16:58:30,599:INFO:numpy==1.20.3
  24178. 2022-03-02 16:58:30,599:INFO:sklearn==0.24.2
  24179. 2022-03-02 16:58:30,599:INFO:xgboost==1.5.1
  24180. 2022-03-02 16:58:30,599:INFO:lightgbm==3.3.2
  24181. 2022-03-02 16:58:30,599:INFO:catboost==1.0.4
  24182. 2022-03-02 16:58:30,599:INFO:mlflow==1.24.0
  24183. 2022-03-02 16:58:30,599:INFO:Checking Exceptions
  24184. 2022-03-02 16:58:30,599:INFO:Declaring global variables
  24185. 2022-03-02 16:58:30,599:INFO:USI: 030d
  24186. 2022-03-02 16:58:30,599:INFO:pycaret_globals: {'experiment__', 'gpu_param', 'html_param', 'data_before_preprocess', 'exp_name_log', 'master_model_container', 'y', 'display_container', '_all_metrics', 'fix_imbalance_param', 'USI', 'X', 'imputation_regressor', 'stratify_param', 'log_plots_param', 'fix_imbalance_method_param', 'pycaret_globals', 'y_train', '_gpu_n_jobs_param', '_internal_pipeline', 'iterative_imputation_iters_param', 'transform_target_param', 'fold_param', 'y_test', 'seed', '_all_models_internal', 'n_jobs_param', 'fold_shuffle_param', 'create_model_container', 'transform_target_method_param', 'fold_generator', 'imputation_classifier', '_available_plots', 'target_param', 'X_test', 'fold_groups_param', 'prep_pipe', '_ml_usecase', 'X_train', '_all_models', 'logging_param'}
  24187. 2022-03-02 16:58:30,599:INFO:Preparing display monitor
  24188. 2022-03-02 16:58:30,599:INFO:Preparing display monitor
  24189. 2022-03-02 16:58:30,609:INFO:Importing libraries
  24190. 2022-03-02 16:58:30,609:INFO:Copying data for preprocessing
  24191. 2022-03-02 16:58:30,616:INFO:Declaring preprocessing parameters
  24192. 2022-03-02 16:58:30,621:INFO:Creating preprocessing pipeline
  24193. 2022-03-02 16:58:30,686:INFO:Preprocessing pipeline created successfully
  24194. 2022-03-02 16:58:30,687:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24195. 2022-03-02 16:58:30,687:INFO:Creating global containers
  24196. 2022-03-02 16:58:30,689:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  24197. 2022-03-02 16:58:33,185:INFO:Creating grid variables
  24198. 2022-03-02 16:58:33,195:INFO:create_model_container: 0
  24199. 2022-03-02 16:58:33,195:INFO:master_model_container: 0
  24200. 2022-03-02 16:58:33,196:INFO:display_container: 1
  24201. 2022-03-02 16:58:41,564:INFO:PyCaret Supervised Module
  24202. 2022-03-02 16:58:41,564:INFO:ML Usecase: classification
  24203. 2022-03-02 16:58:41,564:INFO:version 2.2.3
  24204. 2022-03-02 16:58:41,564:INFO:Initializing setup()
  24205. 2022-03-02 16:58:41,564:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=True, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24206. 2022-03-02 16:58:41,564:INFO:Checking environment
  24207. 2022-03-02 16:58:41,565:INFO:python_version: 3.9.7
  24208. 2022-03-02 16:58:41,565:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24209. 2022-03-02 16:58:41,565:INFO:machine: AMD64
  24210. 2022-03-02 16:58:41,565:INFO:platform: Windows-10-10.0.22000-SP0
  24211. 2022-03-02 16:58:41,565:INFO:Memory: svmem(total=34268372992, available=21935177728, percent=36.0, used=12333195264, free=21935177728)
  24212. 2022-03-02 16:58:41,565:INFO:Physical Core: 8
  24213. 2022-03-02 16:58:41,565:INFO:Logical Core: 16
  24214. 2022-03-02 16:58:41,565:INFO:Checking libraries
  24215. 2022-03-02 16:58:41,565:INFO:pd==1.3.4
  24216. 2022-03-02 16:58:41,565:INFO:numpy==1.20.3
  24217. 2022-03-02 16:58:41,565:INFO:sklearn==0.24.2
  24218. 2022-03-02 16:58:41,565:INFO:xgboost==1.5.1
  24219. 2022-03-02 16:58:41,565:INFO:lightgbm==3.3.2
  24220. 2022-03-02 16:58:41,565:INFO:catboost==1.0.4
  24221. 2022-03-02 16:58:41,565:INFO:mlflow==1.24.0
  24222. 2022-03-02 16:58:41,565:INFO:Checking Exceptions
  24223. 2022-03-02 16:58:41,565:INFO:Declaring global variables
  24224. 2022-03-02 16:58:41,565:INFO:USI: e9e1
  24225. 2022-03-02 16:58:41,565:INFO:pycaret_globals: {'experiment__', 'gpu_param', 'html_param', 'data_before_preprocess', 'exp_name_log', 'master_model_container', 'y', 'display_container', '_all_metrics', 'fix_imbalance_param', 'USI', 'X', 'imputation_regressor', 'stratify_param', 'log_plots_param', 'fix_imbalance_method_param', 'pycaret_globals', 'y_train', '_gpu_n_jobs_param', '_internal_pipeline', 'iterative_imputation_iters_param', 'transform_target_param', 'fold_param', 'y_test', 'seed', '_all_models_internal', 'n_jobs_param', 'fold_shuffle_param', 'create_model_container', 'transform_target_method_param', 'fold_generator', 'imputation_classifier', '_available_plots', 'target_param', 'X_test', 'fold_groups_param', 'prep_pipe', '_ml_usecase', 'X_train', '_all_models', 'logging_param'}
  24226. 2022-03-02 16:58:41,565:INFO:Preparing display monitor
  24227. 2022-03-02 16:58:41,566:INFO:Preparing display monitor
  24228. 2022-03-02 16:58:41,574:INFO:Importing libraries
  24229. 2022-03-02 16:58:41,574:INFO:Copying data for preprocessing
  24230. 2022-03-02 16:58:41,582:INFO:Declaring preprocessing parameters
  24231. 2022-03-02 16:58:41,586:INFO:Creating preprocessing pipeline
  24232. 2022-03-02 16:58:41,642:INFO:Preprocessing pipeline created successfully
  24233. 2022-03-02 16:58:41,642:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24234. 2022-03-02 16:58:41,643:INFO:Creating global containers
  24235. 2022-03-02 16:58:41,643:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  24236. 2022-03-02 16:58:44,024:INFO:Creating grid variables
  24237. 2022-03-02 16:58:44,034:INFO:create_model_container: 0
  24238. 2022-03-02 16:58:44,034:INFO:master_model_container: 0
  24239. 2022-03-02 16:58:44,034:INFO:display_container: 1
  24240. 2022-03-03 08:35:38,416:INFO:PyCaret Supervised Module
  24241. 2022-03-03 08:35:38,417:INFO:ML Usecase: classification
  24242. 2022-03-03 08:35:38,417:INFO:version 2.2.3
  24243. 2022-03-03 08:35:38,417:INFO:Initializing setup()
  24244. 2022-03-03 08:35:38,417:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=True, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24245. 2022-03-03 08:35:38,417:INFO:Checking environment
  24246. 2022-03-03 08:35:38,417:INFO:python_version: 3.9.7
  24247. 2022-03-03 08:35:38,417:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24248. 2022-03-03 08:35:38,417:INFO:machine: AMD64
  24249. 2022-03-03 08:35:38,417:INFO:platform: Windows-10-10.0.22000-SP0
  24250. 2022-03-03 08:35:38,417:INFO:Memory: svmem(total=34268372992, available=11618340864, percent=66.1, used=22650032128, free=11618340864)
  24251. 2022-03-03 08:35:38,417:INFO:Physical Core: 8
  24252. 2022-03-03 08:35:38,417:INFO:Logical Core: 16
  24253. 2022-03-03 08:35:38,417:INFO:Checking libraries
  24254. 2022-03-03 08:35:38,417:INFO:pd==1.3.4
  24255. 2022-03-03 08:35:38,417:INFO:numpy==1.20.3
  24256. 2022-03-03 08:35:38,417:INFO:sklearn==0.24.2
  24257. 2022-03-03 08:35:38,447:INFO:xgboost==1.5.1
  24258. 2022-03-03 08:35:38,447:INFO:lightgbm==3.3.2
  24259. 2022-03-03 08:35:38,565:INFO:catboost==1.0.4
  24260. 2022-03-03 08:35:39,424:INFO:mlflow==1.24.0
  24261. 2022-03-03 08:35:39,424:INFO:Checking Exceptions
  24262. 2022-03-03 08:35:39,426:INFO:Declaring global variables
  24263. 2022-03-03 08:35:39,426:INFO:USI: 9cce
  24264. 2022-03-03 08:35:39,426:INFO:pycaret_globals: {'fix_imbalance_method_param', 'stratify_param', 'n_jobs_param', 'master_model_container', 'display_container', '_gpu_n_jobs_param', 'imputation_regressor', '_all_metrics', 'USI', 'logging_param', 'X_test', 'X', 'html_param', 'y_train', 'iterative_imputation_iters_param', 'fold_generator', 'X_train', 'experiment__', 'log_plots_param', '_all_models_internal', 'fold_shuffle_param', 'fix_imbalance_param', 'create_model_container', '_available_plots', 'transform_target_method_param', 'prep_pipe', 'transform_target_param', 'seed', 'exp_name_log', 'fold_param', 'gpu_param', '_internal_pipeline', 'y_test', 'data_before_preprocess', '_all_models', 'y', 'fold_groups_param', '_ml_usecase', 'imputation_classifier', 'pycaret_globals', 'target_param'}
  24265. 2022-03-03 08:35:39,426:INFO:Preparing display monitor
  24266. 2022-03-03 08:35:39,426:INFO:Preparing display monitor
  24267. 2022-03-03 08:35:39,442:INFO:Importing libraries
  24268. 2022-03-03 08:35:39,443:INFO:Copying data for preprocessing
  24269. 2022-03-03 08:35:39,450:INFO:Declaring preprocessing parameters
  24270. 2022-03-03 08:35:39,455:INFO:Creating preprocessing pipeline
  24271. 2022-03-03 08:35:39,537:INFO:Preprocessing pipeline created successfully
  24272. 2022-03-03 08:35:39,537:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24273. 2022-03-03 08:35:39,537:INFO:Creating global containers
  24274. 2022-03-03 08:35:39,539:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  24275. 2022-03-03 08:35:42,008:INFO:Creating grid variables
  24276. 2022-03-03 08:35:42,021:INFO:create_model_container: 0
  24277. 2022-03-03 08:35:42,021:INFO:master_model_container: 0
  24278. 2022-03-03 08:35:42,022:INFO:display_container: 1
  24279. 2022-03-03 08:35:49,553:INFO:Initializing load_model()
  24280. 2022-03-03 08:35:49,553:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  24281. 2022-03-03 09:26:09,213:INFO:PyCaret Supervised Module
  24282. 2022-03-03 09:26:09,213:INFO:ML Usecase: classification
  24283. 2022-03-03 09:26:09,214:INFO:version 2.2.3
  24284. 2022-03-03 09:26:09,214:INFO:Initializing setup()
  24285. 2022-03-03 09:26:09,214:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24286. 2022-03-03 09:26:09,214:INFO:Checking environment
  24287. 2022-03-03 09:26:09,214:INFO:python_version: 3.9.7
  24288. 2022-03-03 09:26:09,215:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24289. 2022-03-03 09:26:09,215:INFO:machine: AMD64
  24290. 2022-03-03 09:26:09,215:INFO:platform: Windows-10-10.0.22000-SP0
  24291. 2022-03-03 09:26:09,215:INFO:Memory: svmem(total=34268372992, available=13226156032, percent=61.4, used=21042216960, free=13226156032)
  24292. 2022-03-03 09:26:09,215:INFO:Physical Core: 8
  24293. 2022-03-03 09:26:09,215:INFO:Logical Core: 16
  24294. 2022-03-03 09:26:09,215:INFO:Checking libraries
  24295. 2022-03-03 09:26:09,215:INFO:pd==1.3.4
  24296. 2022-03-03 09:26:09,215:INFO:numpy==1.20.3
  24297. 2022-03-03 09:26:09,215:INFO:sklearn==0.24.2
  24298. 2022-03-03 09:26:09,252:INFO:xgboost==1.5.1
  24299. 2022-03-03 09:26:09,253:INFO:lightgbm==3.3.2
  24300. 2022-03-03 09:26:09,278:INFO:catboost==1.0.4
  24301. 2022-03-03 09:26:10,604:INFO:mlflow==1.24.0
  24302. 2022-03-03 09:26:10,604:INFO:Checking Exceptions
  24303. 2022-03-03 09:26:10,605:INFO:Declaring global variables
  24304. 2022-03-03 09:26:10,605:INFO:USI: f116
  24305. 2022-03-03 09:26:10,605:INFO:pycaret_globals: {'X', 'create_model_container', '_available_plots', 'fold_generator', '_gpu_n_jobs_param', 'imputation_classifier', '_all_models_internal', 'prep_pipe', 'y', 'transform_target_param', 'transform_target_method_param', '_ml_usecase', 'data_before_preprocess', 'X_test', 'seed', 'X_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'y_train', '_all_metrics', 'fold_shuffle_param', 'pycaret_globals', 'fix_imbalance_param', 'fold_param', 'n_jobs_param', '_all_models', 'fold_groups_param', 'USI', 'imputation_regressor', 'exp_name_log', 'target_param', 'html_param', 'experiment__', 'log_plots_param', 'stratify_param', 'fix_imbalance_method_param', 'master_model_container', '_internal_pipeline', 'gpu_param', 'display_container'}
  24306. 2022-03-03 09:26:10,605:INFO:Preparing display monitor
  24307. 2022-03-03 09:26:10,605:INFO:Preparing display monitor
  24308. 2022-03-03 09:26:10,627:INFO:Importing libraries
  24309. 2022-03-03 09:26:10,627:INFO:Copying data for preprocessing
  24310. 2022-03-03 09:26:10,640:INFO:Declaring preprocessing parameters
  24311. 2022-03-03 09:26:10,648:INFO:Creating preprocessing pipeline
  24312. 2022-03-03 09:26:10,742:INFO:Preprocessing pipeline created successfully
  24313. 2022-03-03 09:26:10,743:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24314. 2022-03-03 09:26:10,743:INFO:Creating global containers
  24315. 2022-03-03 10:01:57,867:INFO:PyCaret Supervised Module
  24316. 2022-03-03 10:01:57,868:INFO:ML Usecase: classification
  24317. 2022-03-03 10:01:57,868:INFO:version 2.2.3
  24318. 2022-03-03 10:01:57,868:INFO:Initializing setup()
  24319. 2022-03-03 10:01:57,868:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24320. 2022-03-03 10:01:57,868:INFO:Checking environment
  24321. 2022-03-03 10:01:57,868:INFO:python_version: 3.9.7
  24322. 2022-03-03 10:01:57,868:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24323. 2022-03-03 10:01:57,868:INFO:machine: AMD64
  24324. 2022-03-03 10:01:57,868:INFO:platform: Windows-10-10.0.22000-SP0
  24325. 2022-03-03 10:01:57,868:INFO:Memory: svmem(total=34268372992, available=10138054656, percent=70.4, used=24130318336, free=10138054656)
  24326. 2022-03-03 10:01:57,869:INFO:Physical Core: 8
  24327. 2022-03-03 10:01:57,869:INFO:Logical Core: 16
  24328. 2022-03-03 10:01:57,869:INFO:Checking libraries
  24329. 2022-03-03 10:01:57,869:INFO:pd==1.3.4
  24330. 2022-03-03 10:01:57,869:INFO:numpy==1.20.3
  24331. 2022-03-03 10:01:57,869:INFO:sklearn==0.24.2
  24332. 2022-03-03 10:01:57,912:INFO:xgboost==1.5.1
  24333. 2022-03-03 10:01:57,912:INFO:lightgbm==3.3.2
  24334. 2022-03-03 10:01:57,945:INFO:catboost==1.0.4
  24335. 2022-03-03 10:01:59,371:INFO:mlflow==1.24.0
  24336. 2022-03-03 10:01:59,372:INFO:Checking Exceptions
  24337. 2022-03-03 10:01:59,373:INFO:Declaring global variables
  24338. 2022-03-03 10:01:59,373:INFO:USI: 97a1
  24339. 2022-03-03 10:01:59,373:INFO:pycaret_globals: {'experiment__', 'transform_target_method_param', 'fold_generator', 'imputation_classifier', 'logging_param', 'X', 'create_model_container', 'y', '_ml_usecase', '_all_metrics', 'gpu_param', 'stratify_param', '_all_models_internal', 'display_container', 'log_plots_param', 'html_param', 'transform_target_param', 'y_test', 'fold_groups_param', 'fix_imbalance_param', 'target_param', '_available_plots', 'fold_param', 'master_model_container', 'USI', 'X_train', 'pycaret_globals', 'iterative_imputation_iters_param', '_gpu_n_jobs_param', '_internal_pipeline', 'fix_imbalance_method_param', 'X_test', '_all_models', 'data_before_preprocess', 'n_jobs_param', 'exp_name_log', 'prep_pipe', 'y_train', 'seed', 'fold_shuffle_param', 'imputation_regressor'}
  24340. 2022-03-03 10:01:59,373:INFO:Preparing display monitor
  24341. 2022-03-03 10:01:59,373:INFO:Preparing display monitor
  24342. 2022-03-03 10:01:59,396:INFO:Importing libraries
  24343. 2022-03-03 10:01:59,396:INFO:Copying data for preprocessing
  24344. 2022-03-03 10:01:59,409:INFO:Declaring preprocessing parameters
  24345. 2022-03-03 10:01:59,418:INFO:Creating preprocessing pipeline
  24346. 2022-03-03 10:01:59,510:INFO:Preprocessing pipeline created successfully
  24347. 2022-03-03 10:01:59,510:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24348. 2022-03-03 10:01:59,510:INFO:Creating global containers
  24349. 2022-03-03 10:02:08,286:INFO:PyCaret Supervised Module
  24350. 2022-03-03 10:02:08,287:INFO:ML Usecase: classification
  24351. 2022-03-03 10:02:08,287:INFO:version 2.2.3
  24352. 2022-03-03 10:02:08,287:INFO:Initializing setup()
  24353. 2022-03-03 10:02:08,287:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=True, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24354. 2022-03-03 10:02:08,287:INFO:Checking environment
  24355. 2022-03-03 10:02:08,287:INFO:python_version: 3.9.7
  24356. 2022-03-03 10:02:08,287:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  24357. 2022-03-03 10:02:08,287:INFO:machine: AMD64
  24358. 2022-03-03 10:02:08,287:INFO:platform: Windows-10-10.0.22000-SP0
  24359. 2022-03-03 10:02:08,287:INFO:Memory: svmem(total=34268372992, available=10068316160, percent=70.6, used=24200056832, free=10068316160)
  24360. 2022-03-03 10:02:08,288:INFO:Physical Core: 8
  24361. 2022-03-03 10:02:08,288:INFO:Logical Core: 16
  24362. 2022-03-03 10:02:08,288:INFO:Checking libraries
  24363. 2022-03-03 10:02:08,288:INFO:pd==1.3.4
  24364. 2022-03-03 10:02:08,288:INFO:numpy==1.20.3
  24365. 2022-03-03 10:02:08,288:INFO:sklearn==0.24.2
  24366. 2022-03-03 10:02:08,288:INFO:xgboost==1.5.1
  24367. 2022-03-03 10:02:08,288:INFO:lightgbm==3.3.2
  24368. 2022-03-03 10:02:08,288:INFO:catboost==1.0.4
  24369. 2022-03-03 10:02:08,288:INFO:mlflow==1.24.0
  24370. 2022-03-03 10:02:08,288:INFO:Checking Exceptions
  24371. 2022-03-03 10:02:08,289:INFO:Declaring global variables
  24372. 2022-03-03 10:02:08,289:INFO:USI: b405
  24373. 2022-03-03 10:02:08,289:INFO:pycaret_globals: {'experiment__', 'transform_target_method_param', 'fold_generator', 'imputation_classifier', 'logging_param', 'X', 'create_model_container', 'y', '_ml_usecase', '_all_metrics', 'gpu_param', 'stratify_param', '_all_models_internal', 'display_container', 'log_plots_param', 'html_param', 'transform_target_param', 'y_test', 'fold_groups_param', 'fix_imbalance_param', 'target_param', '_available_plots', 'fold_param', 'master_model_container', 'USI', 'X_train', 'pycaret_globals', 'iterative_imputation_iters_param', '_gpu_n_jobs_param', '_internal_pipeline', 'fix_imbalance_method_param', 'X_test', '_all_models', 'data_before_preprocess', 'n_jobs_param', 'exp_name_log', 'prep_pipe', 'y_train', 'seed', 'fold_shuffle_param', 'imputation_regressor'}
  24374. 2022-03-03 10:02:08,289:INFO:Preparing display monitor
  24375. 2022-03-03 10:02:08,289:INFO:Preparing display monitor
  24376. 2022-03-03 10:02:08,306:INFO:Importing libraries
  24377. 2022-03-03 10:02:08,306:INFO:Copying data for preprocessing
  24378. 2022-03-03 10:02:08,322:INFO:Declaring preprocessing parameters
  24379. 2022-03-03 10:02:08,330:INFO:Creating preprocessing pipeline
  24380. 2022-03-03 10:02:08,422:INFO:Preprocessing pipeline created successfully
  24381. 2022-03-03 10:02:08,422:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24382. 2022-03-03 10:02:08,422:INFO:Creating global containers
  24383. 2022-03-03 10:02:08,424:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  24384. 2022-03-03 10:02:17,579:INFO:Creating grid variables
  24385. 2022-03-03 10:02:17,597:INFO:create_model_container: 0
  24386. 2022-03-03 10:02:17,597:INFO:master_model_container: 0
  24387. 2022-03-03 10:02:17,597:INFO:display_container: 1
  24388. 2022-03-11 11:11:35,829:INFO:Initializing load_model()
  24389. 2022-03-11 11:11:35,832:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  24390. 2022-03-11 11:13:03,945:INFO:PyCaret Supervised Module
  24391. 2022-03-11 11:13:03,945:INFO:ML Usecase: classification
  24392. 2022-03-11 11:13:03,946:INFO:version 2.3.6
  24393. 2022-03-11 11:13:03,946:INFO:Initializing setup()
  24394. 2022-03-11 11:13:03,947:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24395. 2022-03-11 11:13:03,947:INFO:Checking environment
  24396. 2022-03-11 11:13:03,947:INFO:python_version: 3.8.12
  24397. 2022-03-11 11:13:03,948:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
  24398. 2022-03-11 11:13:03,948:INFO:machine: x86_64
  24399. 2022-03-11 11:13:03,948:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
  24400. 2022-03-11 11:13:03,950:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
  24401. 2022-03-11 11:13:03,950:INFO:Checking libraries
  24402. 2022-03-11 11:13:03,950:INFO:pd==1.4.1
  24403. 2022-03-11 11:13:03,951:INFO:numpy==1.19.5
  24404. 2022-03-11 11:13:03,951:INFO:sklearn==0.23.2
  24405. 2022-03-11 11:13:03,952:INFO:lightgbm==3.3.2
  24406. 2022-03-11 11:13:03,953:WARNING:catboost not found
  24407. 2022-03-11 11:13:04,040:INFO:xgboost==1.5.2
  24408. 2022-03-11 11:13:05,247:INFO:mlflow==1.24.0
  24409. 2022-03-11 11:13:05,249:INFO:Checking Exceptions
  24410. 2022-03-11 11:13:05,253:INFO:Declaring global variables
  24411. 2022-03-11 11:13:05,253:INFO:USI: a49d
  24412. 2022-03-11 11:13:05,254:INFO:pycaret_globals: {'prep_pipe', 'master_model_container', '_all_models', 'imputation_regressor', '_gpu_n_jobs_param', 'iterative_imputation_iters_param', 'fold_shuffle_param', 'transform_target_method_param', 'fold_groups_param_full', '_available_plots', 'experiment__', 'fix_imbalance_method_param', 'exp_name_log', 'stratify_param', '_internal_pipeline', '_all_metrics', 'log_plots_param', 'gpu_param', 'fix_imbalance_param', 'X', '_all_models_internal', 'target_param', 'html_param', 'USI', 'imputation_classifier', 'fold_generator', 'display_container', 'y', 'create_model_container', 'fold_param', 'transform_target_param', 'data_before_preprocess', 'y_train', 'X_test', 'y_test', 'pycaret_globals', 'seed', 'fold_groups_param', '_ml_usecase', 'n_jobs_param', 'X_train', 'logging_param'}
  24413. 2022-03-11 11:13:05,254:INFO:Preparing display monitor
  24414. 2022-03-11 11:13:05,255:INFO:Preparing display monitor
  24415. 2022-03-11 11:13:05,292:INFO:Importing libraries
  24416. 2022-03-11 11:13:05,293:INFO:Copying data for preprocessing
  24417. 2022-03-11 11:13:05,315:INFO:Declaring preprocessing parameters
  24418. 2022-03-11 11:13:05,337:INFO:Creating preprocessing pipeline
  24419. 2022-03-11 11:13:05,499:INFO:Preprocessing pipeline created successfully
  24420. 2022-03-11 11:13:05,500:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24421. 2022-03-11 11:13:05,500:INFO:Creating global containers
  24422. 2022-03-11 11:13:05,503:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  24423. 2022-03-11 11:13:09,156:WARNING:Couldn't import catboost.CatBoostClassifier
  24424. 2022-03-11 11:13:09,336:WARNING:Couldn't import catboost.CatBoostClassifier
  24425. 2022-03-11 11:13:09,338:INFO:Creating grid variables
  24426. 2022-03-11 11:13:09,378:INFO:create_model_container: 0
  24427. 2022-03-11 11:13:09,379:INFO:master_model_container: 0
  24428. 2022-03-11 11:13:09,379:INFO:display_container: 1
  24429. 2022-03-11 11:13:09,386:INFO:Pipeline(memory=None,
  24430. =======
  24431. 2022-03-08 16:43:18,235:INFO:PyCaret Supervised Module
  24432. 2022-03-08 16:43:18,235:INFO:ML Usecase: classification
  24433. 2022-03-08 16:43:18,235:INFO:version 2.3.6
  24434. 2022-03-08 16:43:18,235:INFO:Initializing setup()
  24435. 2022-03-08 16:43:18,235:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24436. 2022-03-08 16:43:18,236:INFO:Checking environment
  24437. 2022-03-08 16:43:18,236:INFO:python_version: 3.8.8
  24438. 2022-03-08 16:43:18,236:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  24439. 2022-03-08 16:43:18,236:INFO:machine: x86_64
  24440. 2022-03-08 16:43:18,236:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  24441. 2022-03-08 16:43:18,236:INFO:Memory: svmem(total=33619935232, available=30277533696, percent=9.9, used=2538819584, free=28802584576, active=364335104, inactive=3974979584, buffers=123490304, cached=2155040768, shared=383373312, slab=203546624)
  24442. 2022-03-08 16:43:18,237:INFO:Physical Core: 16
  24443. 2022-03-08 16:43:18,238:INFO:Logical Core: 32
  24444. 2022-03-08 16:43:18,238:INFO:Checking libraries
  24445. 2022-03-08 16:43:18,238:INFO:pd==1.3.0
  24446. 2022-03-08 16:43:18,238:INFO:numpy==1.19.5
  24447. 2022-03-08 16:43:18,238:INFO:sklearn==0.23.2
  24448. 2022-03-08 16:43:18,238:INFO:lightgbm==3.3.2
  24449. 2022-03-08 16:43:18,239:WARNING:catboost not found
  24450. 2022-03-08 16:43:18,310:INFO:xgboost==1.4.2
  24451. 2022-03-08 16:43:18,502:INFO:mlflow==1.22.0
  24452. 2022-03-08 16:43:18,503:INFO:Checking Exceptions
  24453. 2022-03-08 16:43:18,504:INFO:Declaring global variables
  24454. 2022-03-08 16:43:18,504:INFO:USI: 9eb1
  24455. 2022-03-08 16:43:18,505:INFO:pycaret_globals: {'gpu_param', 'stratify_param', 'fold_generator', 'iterative_imputation_iters_param', 'fix_imbalance_param', 'fix_imbalance_method_param', '_all_models_internal', 'create_model_container', 'html_param', 'X_test', 'n_jobs_param', 'display_container', 'y_train', 'fold_shuffle_param', 'fold_groups_param_full', 'experiment__', '_all_models', 'X', 'logging_param', 'target_param', 'transform_target_param', 'transform_target_method_param', 'master_model_container', '_gpu_n_jobs_param', 'seed', 'y_test', 'prep_pipe', '_ml_usecase', '_available_plots', 'X_train', 'imputation_classifier', 'log_plots_param', 'imputation_regressor', '_all_metrics', 'fold_param', 'data_before_preprocess', 'exp_name_log', 'y', 'fold_groups_param', '_internal_pipeline', 'USI', 'pycaret_globals'}
  24456. 2022-03-08 16:43:18,505:INFO:Preparing display monitor
  24457. 2022-03-08 16:43:18,505:INFO:Preparing display monitor
  24458. 2022-03-08 16:43:18,515:INFO:Importing libraries
  24459. 2022-03-08 16:43:18,516:INFO:Copying data for preprocessing
  24460. 2022-03-08 16:43:18,522:INFO:Declaring preprocessing parameters
  24461. 2022-03-08 16:43:18,523:WARNING:cuML not found
  24462. 2022-03-08 16:43:18,523:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  24463. 2022-03-08 16:43:18,535:INFO:Creating preprocessing pipeline
  24464. 2022-03-08 16:43:18,591:INFO:Preprocessing pipeline created successfully
  24465. 2022-03-08 16:43:18,591:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24466. 2022-03-08 16:43:18,591:INFO:Creating global containers
  24467. 2022-03-08 16:43:18,592:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  24468. 2022-03-08 16:43:24,529:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  24469. 2022-03-08 16:43:24,559:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  24470. 2022-03-08 16:43:24,561:WARNING:Couldn't import cuml.MBSGDClassifier
  24471. 2022-03-08 16:43:24,562:WARNING:Couldn't import cuml.svm.SVC
  24472. 2022-03-08 16:43:24,579:WARNING:Couldn't import cuml.linear_model
  24473. 2022-03-08 16:43:24,582:WARNING:Couldn't import cuml.ensemble
  24474. 2022-03-08 16:43:24,630:WARNING:Couldn't import catboost.CatBoostClassifier
  24475. 2022-03-08 16:43:24,631:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  24476. 2022-03-08 16:43:24,668:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  24477. 2022-03-08 16:43:24,669:WARNING:Couldn't import cuml.MBSGDClassifier
  24478. 2022-03-08 16:43:24,670:WARNING:Couldn't import cuml.svm.SVC
  24479. 2022-03-08 16:43:24,684:WARNING:Couldn't import cuml.linear_model
  24480. 2022-03-08 16:43:24,688:WARNING:Couldn't import cuml.ensemble
  24481. 2022-03-08 16:43:24,695:WARNING:Couldn't import catboost.CatBoostClassifier
  24482. 2022-03-08 16:43:24,696:INFO:Creating grid variables
  24483. 2022-03-08 16:43:24,706:INFO:create_model_container: 0
  24484. 2022-03-08 16:43:24,706:INFO:master_model_container: 0
  24485. 2022-03-08 16:43:24,706:INFO:display_container: 1
  24486. 2022-03-08 16:43:24,709:INFO:Pipeline(memory=None,
  24487. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24488. steps=[('dtypes',
  24489. DataTypes_Auto_infer(categorical_features=[],
  24490. display_types=True, features_todrop=[],
  24491. id_columns=[],
  24492. ml_usecase='classification',
  24493. numerical_features=[], target='label',
  24494. time_features=[])),
  24495. ('imputer',
  24496. Simple_Imputer(categorical_strategy='not_available',
  24497. fill_value_categorical=None,
  24498. fill_value_numerical=None,
  24499. numeric_strate...
  24500. target='label')),
  24501. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  24502. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  24503. ('dummy', Dummify(target='label')),
  24504. ('fix_perfect', Remove_100(target='label')),
  24505. ('clean_names', Clean_Colum_Names()),
  24506. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  24507. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  24508. verbose=False)
  24509. <<<<<<< HEAD
  24510. 2022-03-11 11:13:09,387:INFO:setup() succesfully completed......................................
  24511. 2022-03-11 11:13:12,937:INFO:Initializing load_model()
  24512. 2022-03-11 11:13:12,938:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  24513. 2022-03-11 11:13:15,323:INFO:Initializing predict_model()
  24514. 2022-03-11 11:13:15,324:INFO:predict_model(estimator=Pipeline(memory=None,
  24515. =======
  24516. 2022-03-08 16:43:24,709:INFO:setup() succesfully completed......................................
  24517. 2022-03-08 16:43:31,347:INFO:Initializing load_model()
  24518. 2022-03-08 16:43:31,348:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  24519. 2022-03-08 16:43:34,808:INFO:Initializing predict_model()
  24520. 2022-03-08 16:43:34,809:INFO:predict_model(estimator=Pipeline(memory=None,
  24521. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24522. steps=[('dtypes',
  24523. DataTypes_Auto_infer(categorical_features=[],
  24524. display_types=True, features_todrop=[],
  24525. id_columns=[],
  24526. ml_usecase='classification',
  24527. numerical_features=[], target='label',
  24528. time_features=[])),
  24529. ('imputer',
  24530. Simple_Imputer(categorical_strategy='not_available',
  24531. fill_value_categorical=None,
  24532. fill_value_numerical=None,
  24533. numeric_strate...
  24534. <<<<<<< HEAD
  24535. max_delta_step=0, max_depth=128, max_leaves=1024,
  24536. min_child_weight=1, missing=nan,
  24537. monotone_constraints='()', n_estimators=100,
  24538. n_jobs=-1, num_parallel_tree=1,
  24539. objective='binary:logistic', predictor='auto',
  24540. random_state=8985, reg_alpha=0, reg_lambda=1,
  24541. scale_pos_weight=1, subsample=1,
  24542. tree_method='gpu_hist', use_label_encoder=True,
  24543. validate_parameters=1, ...)]],
  24544. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  24545. 2022-03-11 11:13:15,324:INFO:Checking exceptions
  24546. 2022-03-11 11:13:15,324:INFO:Preloading libraries
  24547. 2022-03-11 11:13:15,325:INFO:Preparing display monitor
  24548. 2022-03-11 11:13:20,045:INFO:Initializing get_config()
  24549. 2022-03-11 11:13:20,045:INFO:get_config(variable=prep_pipe)
  24550. 2022-03-11 11:13:20,052:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  24551. =======
  24552. learning_rate=0.05, max_delta_step=0,
  24553. max_depth=128, max_leaves=1024,
  24554. min_child_weight=1, missing=nan,
  24555. monotone_constraints='()', n_estimators=100,
  24556. n_jobs=-1, num_parallel_tree=1,
  24557. objective='binary:logistic', random_state=8985,
  24558. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  24559. subsample=1, tree_method='gpu_hist',
  24560. use_label_encoder=True, validate_parameters=1,
  24561. verbosity=0)]],
  24562. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  24563. 2022-03-08 16:43:34,809:INFO:Checking exceptions
  24564. 2022-03-08 16:43:34,809:INFO:Preloading libraries
  24565. 2022-03-08 16:43:34,809:INFO:Preparing display monitor
  24566. 2022-03-08 16:44:24,244:INFO:Initializing get_config()
  24567. 2022-03-08 16:44:24,245:INFO:get_config(variable=prep_pipe)
  24568. 2022-03-08 16:44:24,247:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  24569. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24570. steps=[('dtypes',
  24571. DataTypes_Auto_infer(categorical_features=[],
  24572. display_types=True, features_todrop=[],
  24573. id_columns=[],
  24574. ml_usecase='classification',
  24575. numerical_features=[], target='label',
  24576. time_features=[])),
  24577. ('imputer',
  24578. Simple_Imputer(categorical_strategy='not_available',
  24579. fill_value_categorical=None,
  24580. fill_value_numerical=None,
  24581. numeric_strate...
  24582. target='label')),
  24583. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  24584. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  24585. ('dummy', Dummify(target='label')),
  24586. ('fix_perfect', Remove_100(target='label')),
  24587. ('clean_names', Clean_Colum_Names()),
  24588. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  24589. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  24590. verbose=False)
  24591. <<<<<<< HEAD
  24592. 2022-03-11 11:13:20,052:INFO:get_config() succesfully completed......................................
  24593. 2022-03-11 11:13:20,053:INFO:Initializing get_config()
  24594. 2022-03-11 11:13:20,053:INFO:get_config(variable=data_before_preprocess)
  24595. 2022-03-11 11:13:20,066:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  24596. =======
  24597. 2022-03-08 16:44:24,248:INFO:get_config() succesfully completed......................................
  24598. 2022-03-08 16:44:24,248:INFO:Initializing get_config()
  24599. 2022-03-08 16:44:24,248:INFO:get_config(variable=data_before_preprocess)
  24600. 2022-03-08 16:44:24,253:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  24601. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24602. 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  24603. 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  24604. 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  24605. 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  24606. 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
  24607. ... ... ... ... ... ... ...
  24608. 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
  24609. 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  24610. 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  24611. 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  24612. 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  24613. dd_temp door motion illum dayofweek month hour
  24614. 0 2.472812e-16 0.0 0.0 0.0 0 8 0
  24615. 1 2.472812e-16 0.0 0.0 0.0 0 8 0
  24616. 2 2.472812e-16 0.0 0.0 0.0 0 8 0
  24617. 3 2.472812e-16 0.0 0.0 0.0 0 8 0
  24618. 4 2.472812e-16 0.0 0.0 0.0 0 8 0
  24619. ... ... ... ... ... ... ... ...
  24620. 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
  24621. 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
  24622. 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
  24623. 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
  24624. 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
  24625. [64800 rows x 13 columns]
  24626. <<<<<<< HEAD
  24627. 2022-03-11 11:13:20,067:INFO:get_config() succesfully completed......................................
  24628. 2022-03-11 11:13:20,075:INFO:Initializing get_config()
  24629. 2022-03-11 11:13:20,076:INFO:get_config(variable=prep_pipe)
  24630. 2022-03-11 11:13:20,090:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  24631. =======
  24632. 2022-03-08 16:44:24,253:INFO:get_config() succesfully completed......................................
  24633. 2022-03-08 16:44:24,255:INFO:Initializing get_config()
  24634. 2022-03-08 16:44:24,255:INFO:get_config(variable=prep_pipe)
  24635. 2022-03-08 16:44:24,257:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  24636. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24637. steps=[('dtypes',
  24638. DataTypes_Auto_infer(categorical_features=[],
  24639. display_types=True, features_todrop=[],
  24640. id_columns=[],
  24641. ml_usecase='classification',
  24642. numerical_features=[], target='label',
  24643. time_features=[])),
  24644. ('imputer',
  24645. Simple_Imputer(categorical_strategy='not_available',
  24646. fill_value_categorical=None,
  24647. fill_value_numerical=None,
  24648. numeric_strate...
  24649. target='label')),
  24650. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  24651. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  24652. ('dummy', Dummify(target='label')),
  24653. ('fix_perfect', Remove_100(target='label')),
  24654. ('clean_names', Clean_Colum_Names()),
  24655. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  24656. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  24657. verbose=False)
  24658. <<<<<<< HEAD
  24659. 2022-03-11 11:13:20,090:INFO:get_config() succesfully completed......................................
  24660. 2022-03-11 11:13:20,112:INFO:Initializing save_model()
  24661. 2022-03-11 11:13:20,112:INFO:save_model(model=Pipeline(memory=None,
  24662. =======
  24663. 2022-03-08 16:44:24,258:INFO:get_config() succesfully completed......................................
  24664. 2022-03-08 16:44:24,266:INFO:Initializing save_model()
  24665. 2022-03-08 16:44:24,267:INFO:save_model(model=Pipeline(memory=None,
  24666. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24667. steps=[('dtypes',
  24668. DataTypes_Auto_infer(categorical_features=[],
  24669. display_types=True, features_todrop=[],
  24670. id_columns=[],
  24671. ml_usecase='classification',
  24672. numerical_features=[], target='label',
  24673. time_features=[])),
  24674. ('imputer',
  24675. Simple_Imputer(categorical_strategy='not_available',
  24676. fill_value_categorical=None,
  24677. fill_value_numerical=None,
  24678. numeric_strate...
  24679. <<<<<<< HEAD
  24680. max_delta_step=0, max_depth=128, max_leaves=1024,
  24681. min_child_weight=1, missing=nan,
  24682. monotone_constraints='()', n_estimators=100,
  24683. n_jobs=-1, num_parallel_tree=1,
  24684. objective='binary:logistic', predictor='auto',
  24685. random_state=8985, reg_alpha=0, reg_lambda=1,
  24686. scale_pos_weight=1, subsample=1,
  24687. tree_method='gpu_hist', use_label_encoder=True,
  24688. validate_parameters=1, ...)]],
  24689. =======
  24690. learning_rate=0.05, max_delta_step=0,
  24691. max_depth=128, max_leaves=1024,
  24692. min_child_weight=1, missing=nan,
  24693. monotone_constraints='()', n_estimators=100,
  24694. n_jobs=-1, num_parallel_tree=1,
  24695. objective='binary:logistic', random_state=8985,
  24696. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  24697. subsample=1, tree_method='gpu_hist',
  24698. use_label_encoder=True, validate_parameters=1,
  24699. verbosity=0)]],
  24700. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24701. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  24702. steps=[('dtypes',
  24703. DataTypes_Auto_infer(categorical_features=[],
  24704. display_types=True, features_todrop=[],
  24705. id_columns=[],
  24706. ml_usecase='classification',
  24707. numerical_features=[], target='label',
  24708. time_features=[])),
  24709. ('imputer',
  24710. Simple_Imputer(categorical_strategy='not_available',
  24711. fill_value_categorical=None,
  24712. fill_value_numerical=None,
  24713. numeric_strate...
  24714. target='label')),
  24715. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  24716. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  24717. ('dummy', Dummify(target='label')),
  24718. ('fix_perfect', Remove_100(target='label')),
  24719. ('clean_names', Clean_Colum_Names()),
  24720. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  24721. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  24722. verbose=False), verbose=False, kwargs={})
  24723. <<<<<<< HEAD
  24724. 2022-03-11 11:13:20,113:INFO:Adding model into prep_pipe
  24725. 2022-03-11 11:13:20,944:WARNING:Only Model saved as it was a pipeline.
  24726. 2022-03-11 11:13:21,422:INFO:my_api.pkl saved in current working directory
  24727. 2022-03-11 11:13:21,449:INFO:Pipeline(memory=None,
  24728. =======
  24729. 2022-03-08 16:44:24,267:INFO:Adding model into prep_pipe
  24730. 2022-03-08 16:44:24,479:WARNING:Only Model saved as it was a pipeline.
  24731. 2022-03-08 16:44:24,592:INFO:my_api.pkl saved in current working directory
  24732. 2022-03-08 16:44:24,599:INFO:Pipeline(memory=None,
  24733. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24734. steps=[('dtypes',
  24735. DataTypes_Auto_infer(categorical_features=[],
  24736. display_types=True, features_todrop=[],
  24737. id_columns=[],
  24738. ml_usecase='classification',
  24739. numerical_features=[], target='label',
  24740. time_features=[])),
  24741. ('imputer',
  24742. Simple_Imputer(categorical_strategy='not_available',
  24743. fill_value_categorical=None,
  24744. fill_value_numerical=None,
  24745. numeric_strate...
  24746. <<<<<<< HEAD
  24747. max_delta_step=0, max_depth=128, max_leaves=1024,
  24748. min_child_weight=1, missing=nan,
  24749. monotone_constraints='()', n_estimators=100,
  24750. n_jobs=-1, num_parallel_tree=1,
  24751. objective='binary:logistic', predictor='auto',
  24752. random_state=8985, reg_alpha=0, reg_lambda=1,
  24753. scale_pos_weight=1, subsample=1,
  24754. tree_method='gpu_hist', use_label_encoder=True,
  24755. validate_parameters=1, ...)]],
  24756. verbose=False)
  24757. 2022-03-11 11:13:21,450:INFO:save_model() successfully completed......................................
  24758. 2022-03-11 11:13:56,160:INFO:Initializing load_model()
  24759. 2022-03-11 11:13:56,161:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  24760. 2022-03-11 11:16:53,409:INFO:Initializing get_config()
  24761. 2022-03-11 11:16:53,410:INFO:get_config(variable=prep_pipe)
  24762. 2022-03-11 11:16:53,423:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  24763. =======
  24764. learning_rate=0.05, max_delta_step=0,
  24765. max_depth=128, max_leaves=1024,
  24766. min_child_weight=1, missing=nan,
  24767. monotone_constraints='()', n_estimators=100,
  24768. n_jobs=-1, num_parallel_tree=1,
  24769. objective='binary:logistic', random_state=8985,
  24770. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  24771. subsample=1, tree_method='gpu_hist',
  24772. use_label_encoder=True, validate_parameters=1,
  24773. verbosity=0)]],
  24774. verbose=False)
  24775. 2022-03-08 16:44:24,599:INFO:save_model() successfully completed......................................
  24776. 2022-03-08 16:47:19,261:INFO:Initializing load_model()
  24777. 2022-03-08 16:47:19,261:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  24778. 2022-03-10 14:23:53,143:INFO:Initializing load_model()
  24779. 2022-03-10 14:23:53,143:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  24780. 2022-03-10 14:26:18,574:INFO:PyCaret Supervised Module
  24781. 2022-03-10 14:26:18,574:INFO:ML Usecase: classification
  24782. 2022-03-10 14:26:18,575:INFO:version 2.3.6
  24783. 2022-03-10 14:26:18,575:INFO:Initializing setup()
  24784. 2022-03-10 14:26:18,575:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24785. 2022-03-10 14:26:18,575:INFO:Checking environment
  24786. 2022-03-10 14:26:18,575:INFO:python_version: 3.8.8
  24787. 2022-03-10 14:26:18,575:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  24788. 2022-03-10 14:26:18,576:INFO:machine: x86_64
  24789. 2022-03-10 14:26:18,576:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  24790. 2022-03-10 14:26:18,576:INFO:Memory: svmem(total=33619935232, available=30275502080, percent=9.9, used=2542415872, free=28739178496, active=482308096, inactive=3913322496, buffers=115081216, cached=2223259648, shared=383381504, slab=199499776)
  24791. 2022-03-10 14:26:18,577:INFO:Physical Core: 16
  24792. 2022-03-10 14:26:18,577:INFO:Logical Core: 32
  24793. 2022-03-10 14:26:18,577:INFO:Checking libraries
  24794. 2022-03-10 14:26:18,577:INFO:pd==1.3.0
  24795. 2022-03-10 14:26:18,577:INFO:numpy==1.19.5
  24796. 2022-03-10 14:26:18,578:INFO:sklearn==0.23.2
  24797. 2022-03-10 14:26:18,578:INFO:lightgbm==3.3.2
  24798. 2022-03-10 14:26:18,578:WARNING:catboost not found
  24799. 2022-03-10 14:26:18,587:INFO:xgboost==1.4.2
  24800. 2022-03-10 14:26:18,776:INFO:mlflow==1.22.0
  24801. 2022-03-10 14:26:18,776:INFO:Checking Exceptions
  24802. 2022-03-10 14:26:18,777:INFO:Declaring global variables
  24803. 2022-03-10 14:26:18,778:INFO:USI: 7ea2
  24804. 2022-03-10 14:26:18,778:INFO:pycaret_globals: {'X_test', 'transform_target_method_param', '_all_models_internal', 'gpu_param', 'imputation_regressor', 'imputation_classifier', 'y_test', 'X', 'n_jobs_param', '_internal_pipeline', 'fold_shuffle_param', 'exp_name_log', 'logging_param', 'html_param', '_gpu_n_jobs_param', 'log_plots_param', 'y', 'stratify_param', 'master_model_container', 'fold_groups_param_full', 'transform_target_param', 'iterative_imputation_iters_param', 'data_before_preprocess', '_available_plots', 'target_param', 'pycaret_globals', 'prep_pipe', '_ml_usecase', '_all_models', '_all_metrics', 'USI', 'fold_param', 'create_model_container', 'X_train', 'fold_groups_param', 'experiment__', 'fold_generator', 'display_container', 'seed', 'fix_imbalance_param', 'fix_imbalance_method_param', 'y_train'}
  24805. 2022-03-10 14:26:18,778:INFO:Preparing display monitor
  24806. 2022-03-10 14:26:18,778:INFO:Preparing display monitor
  24807. 2022-03-10 14:26:18,788:INFO:Importing libraries
  24808. 2022-03-10 14:26:18,788:INFO:Copying data for preprocessing
  24809. 2022-03-10 14:26:18,794:INFO:Declaring preprocessing parameters
  24810. 2022-03-10 14:26:18,795:WARNING:cuML not found
  24811. 2022-03-10 14:26:18,795:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  24812. 2022-03-10 14:26:18,799:INFO:Creating preprocessing pipeline
  24813. 2022-03-10 14:26:18,842:INFO:Preprocessing pipeline created successfully
  24814. 2022-03-10 14:26:18,842:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24815. 2022-03-10 14:26:18,843:INFO:Creating global containers
  24816. 2022-03-10 14:26:18,843:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  24817. 2022-03-10 14:26:20,980:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  24818. 2022-03-10 14:26:21,009:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  24819. 2022-03-10 14:26:21,011:WARNING:Couldn't import cuml.MBSGDClassifier
  24820. 2022-03-10 14:26:21,012:WARNING:Couldn't import cuml.svm.SVC
  24821. 2022-03-10 14:26:21,029:WARNING:Couldn't import cuml.linear_model
  24822. 2022-03-10 14:26:21,032:WARNING:Couldn't import cuml.ensemble
  24823. 2022-03-10 14:26:21,051:WARNING:Couldn't import catboost.CatBoostClassifier
  24824. 2022-03-10 14:26:21,052:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  24825. 2022-03-10 14:26:21,082:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  24826. 2022-03-10 14:26:21,082:WARNING:Couldn't import cuml.MBSGDClassifier
  24827. 2022-03-10 14:26:21,083:WARNING:Couldn't import cuml.svm.SVC
  24828. 2022-03-10 14:26:21,097:WARNING:Couldn't import cuml.linear_model
  24829. 2022-03-10 14:26:21,100:WARNING:Couldn't import cuml.ensemble
  24830. 2022-03-10 14:26:21,107:WARNING:Couldn't import catboost.CatBoostClassifier
  24831. 2022-03-10 14:26:21,107:INFO:Creating grid variables
  24832. 2022-03-10 14:26:21,115:INFO:create_model_container: 0
  24833. 2022-03-10 14:26:21,116:INFO:master_model_container: 0
  24834. 2022-03-10 14:26:21,116:INFO:display_container: 1
  24835. 2022-03-10 14:26:21,118:INFO:Pipeline(memory=None,
  24836. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24837. steps=[('dtypes',
  24838. DataTypes_Auto_infer(categorical_features=[],
  24839. display_types=True, features_todrop=[],
  24840. id_columns=[],
  24841. ml_usecase='classification',
  24842. numerical_features=[], target='label',
  24843. time_features=[])),
  24844. ('imputer',
  24845. Simple_Imputer(categorical_strategy='not_available',
  24846. fill_value_categorical=None,
  24847. fill_value_numerical=None,
  24848. numeric_strate...
  24849. target='label')),
  24850. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  24851. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  24852. ('dummy', Dummify(target='label')),
  24853. ('fix_perfect', Remove_100(target='label')),
  24854. ('clean_names', Clean_Colum_Names()),
  24855. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  24856. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  24857. verbose=False)
  24858. <<<<<<< HEAD
  24859. 2022-03-11 11:16:53,424:INFO:get_config() succesfully completed......................................
  24860. 2022-03-11 11:16:53,424:INFO:Initializing get_config()
  24861. 2022-03-11 11:16:53,425:INFO:get_config(variable=data_before_preprocess)
  24862. 2022-03-11 11:16:53,455:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  24863. 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  24864. 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  24865. 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  24866. 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  24867. 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
  24868. ... ... ... ... ... ... ...
  24869. 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
  24870. 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  24871. 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  24872. 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  24873. 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  24874. dd_temp door motion illum dayofweek month hour
  24875. 0 2.472812e-16 0.0 0.0 0.0 0 8 0
  24876. 1 2.472812e-16 0.0 0.0 0.0 0 8 0
  24877. 2 2.472812e-16 0.0 0.0 0.0 0 8 0
  24878. 3 2.472812e-16 0.0 0.0 0.0 0 8 0
  24879. 4 2.472812e-16 0.0 0.0 0.0 0 8 0
  24880. ... ... ... ... ... ... ... ...
  24881. 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
  24882. 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
  24883. 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
  24884. 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
  24885. 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
  24886. [64800 rows x 13 columns]
  24887. 2022-03-11 11:16:53,456:INFO:get_config() succesfully completed......................................
  24888. 2022-03-11 11:16:53,478:INFO:Initializing get_config()
  24889. 2022-03-11 11:16:53,479:INFO:get_config(variable=prep_pipe)
  24890. 2022-03-11 11:16:53,488:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  24891. =======
  24892. 2022-03-10 14:26:21,119:INFO:setup() succesfully completed......................................
  24893. 2022-03-10 14:26:27,874:INFO:PyCaret Supervised Module
  24894. 2022-03-10 14:26:27,874:INFO:ML Usecase: classification
  24895. 2022-03-10 14:26:27,874:INFO:version 2.3.6
  24896. 2022-03-10 14:26:27,874:INFO:Initializing setup()
  24897. 2022-03-10 14:26:27,874:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  24898. 2022-03-10 14:26:27,874:INFO:Checking environment
  24899. 2022-03-10 14:26:27,875:INFO:python_version: 3.8.8
  24900. 2022-03-10 14:26:27,875:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  24901. 2022-03-10 14:26:27,875:INFO:machine: x86_64
  24902. 2022-03-10 14:26:27,875:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  24903. 2022-03-10 14:26:27,875:INFO:Memory: svmem(total=33619935232, available=30027767808, percent=10.7, used=2789609472, free=28482121728, active=486002688, inactive=4163252224, buffers=115286016, cached=2232918016, shared=383381504, slab=201125888)
  24904. 2022-03-10 14:26:27,876:INFO:Physical Core: 16
  24905. 2022-03-10 14:26:27,876:INFO:Logical Core: 32
  24906. 2022-03-10 14:26:27,876:INFO:Checking libraries
  24907. 2022-03-10 14:26:27,876:INFO:pd==1.3.0
  24908. 2022-03-10 14:26:27,876:INFO:numpy==1.19.5
  24909. 2022-03-10 14:26:27,876:INFO:sklearn==0.23.2
  24910. 2022-03-10 14:26:27,877:INFO:lightgbm==3.3.2
  24911. 2022-03-10 14:26:27,877:WARNING:catboost not found
  24912. 2022-03-10 14:26:27,877:INFO:xgboost==1.4.2
  24913. 2022-03-10 14:26:27,877:INFO:mlflow==1.22.0
  24914. 2022-03-10 14:26:27,877:INFO:Checking Exceptions
  24915. 2022-03-10 14:26:27,878:INFO:Declaring global variables
  24916. 2022-03-10 14:26:27,878:INFO:USI: 1c4f
  24917. 2022-03-10 14:26:27,878:INFO:pycaret_globals: {'X_test', 'transform_target_method_param', '_all_models_internal', 'gpu_param', 'imputation_regressor', 'imputation_classifier', 'y_test', 'X', 'n_jobs_param', '_internal_pipeline', 'fold_shuffle_param', 'exp_name_log', 'logging_param', 'html_param', '_gpu_n_jobs_param', 'log_plots_param', 'y', 'stratify_param', 'master_model_container', 'fold_groups_param_full', 'transform_target_param', 'iterative_imputation_iters_param', 'data_before_preprocess', '_available_plots', 'target_param', 'pycaret_globals', 'prep_pipe', '_ml_usecase', '_all_models', '_all_metrics', 'USI', 'fold_param', 'create_model_container', 'X_train', 'fold_groups_param', 'experiment__', 'fold_generator', 'display_container', 'seed', 'fix_imbalance_param', 'fix_imbalance_method_param', 'y_train'}
  24918. 2022-03-10 14:26:27,878:INFO:Preparing display monitor
  24919. 2022-03-10 14:26:27,878:INFO:Preparing display monitor
  24920. 2022-03-10 14:26:27,885:INFO:Importing libraries
  24921. 2022-03-10 14:26:27,885:INFO:Copying data for preprocessing
  24922. 2022-03-10 14:26:27,891:INFO:Declaring preprocessing parameters
  24923. 2022-03-10 14:26:27,894:INFO:Creating preprocessing pipeline
  24924. 2022-03-10 14:26:27,937:INFO:Preprocessing pipeline created successfully
  24925. 2022-03-10 14:26:27,938:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  24926. 2022-03-10 14:26:27,938:INFO:Creating global containers
  24927. 2022-03-10 14:26:27,938:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  24928. 2022-03-10 14:26:29,775:WARNING:Couldn't import catboost.CatBoostClassifier
  24929. 2022-03-10 14:26:29,821:WARNING:Couldn't import catboost.CatBoostClassifier
  24930. 2022-03-10 14:26:29,821:INFO:Creating grid variables
  24931. 2022-03-10 14:26:29,829:INFO:create_model_container: 0
  24932. 2022-03-10 14:26:29,830:INFO:master_model_container: 0
  24933. 2022-03-10 14:26:29,830:INFO:display_container: 1
  24934. 2022-03-10 14:26:29,832:INFO:Pipeline(memory=None,
  24935. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24936. steps=[('dtypes',
  24937. DataTypes_Auto_infer(categorical_features=[],
  24938. display_types=True, features_todrop=[],
  24939. id_columns=[],
  24940. ml_usecase='classification',
  24941. numerical_features=[], target='label',
  24942. time_features=[])),
  24943. ('imputer',
  24944. Simple_Imputer(categorical_strategy='not_available',
  24945. fill_value_categorical=None,
  24946. fill_value_numerical=None,
  24947. numeric_strate...
  24948. target='label')),
  24949. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  24950. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  24951. ('dummy', Dummify(target='label')),
  24952. ('fix_perfect', Remove_100(target='label')),
  24953. ('clean_names', Clean_Colum_Names()),
  24954. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  24955. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  24956. verbose=False)
  24957. <<<<<<< HEAD
  24958. 2022-03-11 11:16:53,490:INFO:get_config() succesfully completed......................................
  24959. 2022-03-11 11:16:53,527:INFO:Initializing save_model()
  24960. 2022-03-11 11:16:53,528:INFO:save_model(model=Pipeline(memory=None,
  24961. =======
  24962. 2022-03-10 14:26:29,832:INFO:setup() succesfully completed......................................
  24963. 2022-03-10 14:26:33,032:INFO:Initializing load_model()
  24964. 2022-03-10 14:26:33,032:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  24965. 2022-03-10 14:26:36,073:INFO:Initializing predict_model()
  24966. 2022-03-10 14:26:36,073:INFO:predict_model(estimator=Pipeline(memory=None,
  24967. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  24968. steps=[('dtypes',
  24969. DataTypes_Auto_infer(categorical_features=[],
  24970. display_types=True, features_todrop=[],
  24971. id_columns=[],
  24972. ml_usecase='classification',
  24973. numerical_features=[], target='label',
  24974. time_features=[])),
  24975. ('imputer',
  24976. Simple_Imputer(categorical_strategy='not_available',
  24977. fill_value_categorical=None,
  24978. fill_value_numerical=None,
  24979. numeric_strate...
  24980. <<<<<<< HEAD
  24981. max_delta_step=0, max_depth=128, max_leaves=1024,
  24982. min_child_weight=1, missing=nan,
  24983. monotone_constraints='()', n_estimators=100,
  24984. n_jobs=-1, num_parallel_tree=1,
  24985. objective='binary:logistic', predictor='auto',
  24986. random_state=8985, reg_alpha=0, reg_lambda=1,
  24987. scale_pos_weight=1, subsample=1,
  24988. tree_method='gpu_hist', use_label_encoder=True,
  24989. validate_parameters=1, ...)]],
  24990. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  24991. =======
  24992. learning_rate=0.05, max_delta_step=0,
  24993. max_depth=128, max_leaves=1024,
  24994. min_child_weight=1, missing=nan,
  24995. monotone_constraints='()', n_estimators=100,
  24996. n_jobs=-1, num_parallel_tree=1,
  24997. objective='binary:logistic', random_state=8985,
  24998. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  24999. subsample=1, tree_method='gpu_hist',
  25000. use_label_encoder=True, validate_parameters=1,
  25001. verbosity=0)]],
  25002. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25003. 2022-03-10 14:26:36,073:INFO:Checking exceptions
  25004. 2022-03-10 14:26:36,074:INFO:Preloading libraries
  25005. 2022-03-10 14:26:36,074:INFO:Preparing display monitor
  25006. 2022-03-10 14:26:39,636:INFO:Initializing get_config()
  25007. 2022-03-10 14:26:39,637:INFO:get_config(variable=prep_pipe)
  25008. 2022-03-10 14:26:39,639:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  25009. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25010. steps=[('dtypes',
  25011. DataTypes_Auto_infer(categorical_features=[],
  25012. display_types=True, features_todrop=[],
  25013. id_columns=[],
  25014. ml_usecase='classification',
  25015. numerical_features=[], target='label',
  25016. time_features=[])),
  25017. ('imputer',
  25018. Simple_Imputer(categorical_strategy='not_available',
  25019. fill_value_categorical=None,
  25020. fill_value_numerical=None,
  25021. numeric_strate...
  25022. target='label')),
  25023. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  25024. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  25025. ('dummy', Dummify(target='label')),
  25026. ('fix_perfect', Remove_100(target='label')),
  25027. ('clean_names', Clean_Colum_Names()),
  25028. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  25029. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  25030. <<<<<<< HEAD
  25031. verbose=False), verbose=False, kwargs={})
  25032. 2022-03-11 11:16:53,528:INFO:Adding model into prep_pipe
  25033. 2022-03-11 11:16:54,550:WARNING:Only Model saved as it was a pipeline.
  25034. 2022-03-11 11:16:55,135:INFO:my_api.pkl saved in current working directory
  25035. 2022-03-11 11:16:55,167:INFO:Pipeline(memory=None,
  25036. steps=[('dtypes',
  25037. DataTypes_Auto_infer(categorical_features=[],
  25038. display_types=True, features_todrop=[],
  25039. id_columns=[],
  25040. ml_usecase='classification',
  25041. numerical_features=[], target='label',
  25042. time_features=[])),
  25043. ('imputer',
  25044. Simple_Imputer(categorical_strategy='not_available',
  25045. fill_value_categorical=None,
  25046. fill_value_numerical=None,
  25047. numeric_strate...
  25048. max_delta_step=0, max_depth=128, max_leaves=1024,
  25049. min_child_weight=1, missing=nan,
  25050. monotone_constraints='()', n_estimators=100,
  25051. n_jobs=-1, num_parallel_tree=1,
  25052. objective='binary:logistic', predictor='auto',
  25053. random_state=8985, reg_alpha=0, reg_lambda=1,
  25054. scale_pos_weight=1, subsample=1,
  25055. tree_method='gpu_hist', use_label_encoder=True,
  25056. validate_parameters=1, ...)]],
  25057. verbose=False)
  25058. 2022-03-11 11:16:55,168:INFO:save_model() successfully completed......................................
  25059. 2022-03-11 11:17:34,648:INFO:Initializing load_model()
  25060. 2022-03-11 11:17:34,648:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25061. 2022-03-11 11:17:56,502:INFO:Initializing load_model()
  25062. 2022-03-11 11:17:56,505:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25063. 2022-03-11 11:22:28,068:INFO:Initializing load_model()
  25064. 2022-03-11 11:22:28,068:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25065. 2022-03-11 16:28:36,690:INFO:Initializing load_model()
  25066. 2022-03-11 16:28:36,690:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25067. 2022-03-11 17:01:42,714:INFO:PyCaret Supervised Module
  25068. 2022-03-11 17:01:42,715:INFO:ML Usecase: classification
  25069. 2022-03-11 17:01:42,716:INFO:version 2.3.6
  25070. 2022-03-11 17:01:42,716:INFO:Initializing setup()
  25071. 2022-03-11 17:01:42,717:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  25072. 2022-03-11 17:01:42,717:INFO:Checking environment
  25073. 2022-03-11 17:01:42,717:INFO:python_version: 3.8.12
  25074. 2022-03-11 17:01:42,718:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
  25075. 2022-03-11 17:01:42,718:INFO:machine: x86_64
  25076. 2022-03-11 17:01:42,719:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
  25077. 2022-03-11 17:01:42,720:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
  25078. 2022-03-11 17:01:42,720:INFO:Checking libraries
  25079. 2022-03-11 17:01:42,721:INFO:pd==1.4.1
  25080. 2022-03-11 17:01:42,741:INFO:numpy==1.19.5
  25081. 2022-03-11 17:01:42,742:INFO:sklearn==0.23.2
  25082. 2022-03-11 17:01:42,742:INFO:lightgbm==3.3.2
  25083. 2022-03-11 17:01:42,743:WARNING:catboost not found
  25084. 2022-03-11 17:01:42,843:INFO:xgboost==1.5.2
  25085. 2022-03-11 17:01:44,372:INFO:mlflow==1.24.0
  25086. 2022-03-11 17:01:44,374:INFO:Checking Exceptions
  25087. 2022-03-11 17:01:44,378:INFO:Declaring global variables
  25088. 2022-03-11 17:01:44,379:INFO:USI: 080c
  25089. 2022-03-11 17:01:44,380:INFO:pycaret_globals: {'target_param', 'fix_imbalance_method_param', '_internal_pipeline', 'y_test', 'X_test', 'gpu_param', 'X', '_ml_usecase', 'transform_target_param', 'fold_param', 'log_plots_param', '_gpu_n_jobs_param', '_all_models', 'master_model_container', 'iterative_imputation_iters_param', 'logging_param', 'pycaret_globals', 'data_before_preprocess', 'USI', 'create_model_container', 'prep_pipe', '_all_models_internal', 'imputation_classifier', 'y', 'fold_groups_param_full', '_all_metrics', 'imputation_regressor', 'seed', 'stratify_param', '_available_plots', 'y_train', 'n_jobs_param', 'html_param', 'fold_generator', 'experiment__', 'display_container', 'transform_target_method_param', 'X_train', 'fix_imbalance_param', 'exp_name_log', 'fold_shuffle_param', 'fold_groups_param'}
  25090. 2022-03-11 17:01:44,380:INFO:Preparing display monitor
  25091. 2022-03-11 17:01:44,387:INFO:Preparing display monitor
  25092. 2022-03-11 17:01:44,437:INFO:Importing libraries
  25093. 2022-03-11 17:01:44,438:INFO:Copying data for preprocessing
  25094. 2022-03-11 17:01:44,458:INFO:Declaring preprocessing parameters
  25095. 2022-03-11 17:01:44,502:INFO:Creating preprocessing pipeline
  25096. 2022-03-11 17:01:44,687:INFO:Preprocessing pipeline created successfully
  25097. 2022-03-11 17:01:44,687:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  25098. 2022-03-11 17:01:44,688:INFO:Creating global containers
  25099. 2022-03-11 17:01:44,721:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  25100. 2022-03-11 17:01:48,312:WARNING:Couldn't import catboost.CatBoostClassifier
  25101. 2022-03-11 17:01:48,497:WARNING:Couldn't import catboost.CatBoostClassifier
  25102. 2022-03-11 17:01:48,498:INFO:Creating grid variables
  25103. 2022-03-11 17:01:48,539:INFO:create_model_container: 0
  25104. 2022-03-11 17:01:48,540:INFO:master_model_container: 0
  25105. 2022-03-11 17:01:48,543:INFO:display_container: 1
  25106. 2022-03-11 17:01:48,551:INFO:Pipeline(memory=None,
  25107. =======
  25108. verbose=False)
  25109. 2022-03-10 14:26:39,639:INFO:get_config() succesfully completed......................................
  25110. 2022-03-10 14:26:39,639:INFO:Initializing get_config()
  25111. 2022-03-10 14:26:39,640:INFO:get_config(variable=data_before_preprocess)
  25112. 2022-03-10 14:26:39,644:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  25113. 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25114. 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25115. 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25116. 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25117. 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
  25118. ... ... ... ... ... ... ...
  25119. 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
  25120. 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25121. 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25122. 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25123. 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25124. dd_temp door motion illum dayofweek month hour
  25125. 0 2.472812e-16 0.0 0.0 0.0 0 8 0
  25126. 1 2.472812e-16 0.0 0.0 0.0 0 8 0
  25127. 2 2.472812e-16 0.0 0.0 0.0 0 8 0
  25128. 3 2.472812e-16 0.0 0.0 0.0 0 8 0
  25129. 4 2.472812e-16 0.0 0.0 0.0 0 8 0
  25130. ... ... ... ... ... ... ... ...
  25131. 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
  25132. 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
  25133. 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
  25134. 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
  25135. 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
  25136. [64800 rows x 13 columns]
  25137. 2022-03-10 14:26:39,644:INFO:get_config() succesfully completed......................................
  25138. 2022-03-10 14:26:39,646:INFO:Initializing get_config()
  25139. 2022-03-10 14:26:39,646:INFO:get_config(variable=prep_pipe)
  25140. 2022-03-10 14:26:39,649:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  25141. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25142. steps=[('dtypes',
  25143. DataTypes_Auto_infer(categorical_features=[],
  25144. display_types=True, features_todrop=[],
  25145. id_columns=[],
  25146. ml_usecase='classification',
  25147. numerical_features=[], target='label',
  25148. time_features=[])),
  25149. ('imputer',
  25150. Simple_Imputer(categorical_strategy='not_available',
  25151. fill_value_categorical=None,
  25152. fill_value_numerical=None,
  25153. numeric_strate...
  25154. target='label')),
  25155. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  25156. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  25157. ('dummy', Dummify(target='label')),
  25158. ('fix_perfect', Remove_100(target='label')),
  25159. ('clean_names', Clean_Colum_Names()),
  25160. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  25161. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  25162. verbose=False)
  25163. <<<<<<< HEAD
  25164. 2022-03-11 17:01:48,569:INFO:setup() succesfully completed......................................
  25165. 2022-03-11 17:01:51,979:INFO:Initializing load_model()
  25166. 2022-03-11 17:01:51,979:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  25167. 2022-03-11 17:01:55,692:INFO:Initializing predict_model()
  25168. 2022-03-11 17:01:55,693:INFO:predict_model(estimator=Pipeline(memory=None,
  25169. =======
  25170. 2022-03-10 14:26:39,649:INFO:get_config() succesfully completed......................................
  25171. 2022-03-10 14:26:39,657:INFO:Initializing save_model()
  25172. 2022-03-10 14:26:39,657:INFO:save_model(model=Pipeline(memory=None,
  25173. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25174. steps=[('dtypes',
  25175. DataTypes_Auto_infer(categorical_features=[],
  25176. display_types=True, features_todrop=[],
  25177. id_columns=[],
  25178. ml_usecase='classification',
  25179. numerical_features=[], target='label',
  25180. time_features=[])),
  25181. ('imputer',
  25182. Simple_Imputer(categorical_strategy='not_available',
  25183. fill_value_categorical=None,
  25184. fill_value_numerical=None,
  25185. numeric_strate...
  25186. <<<<<<< HEAD
  25187. max_delta_step=0, max_depth=128, max_leaves=1024,
  25188. min_child_weight=1, missing=nan,
  25189. monotone_constraints='()', n_estimators=100,
  25190. n_jobs=-1, num_parallel_tree=1,
  25191. objective='binary:logistic', predictor='auto',
  25192. random_state=8985, reg_alpha=0, reg_lambda=1,
  25193. scale_pos_weight=1, subsample=1,
  25194. tree_method='gpu_hist', use_label_encoder=True,
  25195. validate_parameters=1, ...)]],
  25196. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25197. 2022-03-11 17:01:55,693:INFO:Checking exceptions
  25198. 2022-03-11 17:01:55,694:INFO:Preloading libraries
  25199. 2022-03-11 17:01:55,694:INFO:Preparing display monitor
  25200. 2022-03-11 17:02:04,079:INFO:Initializing get_config()
  25201. 2022-03-11 17:02:04,081:INFO:get_config(variable=prep_pipe)
  25202. 2022-03-11 17:02:04,095:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  25203. =======
  25204. learning_rate=0.05, max_delta_step=0,
  25205. max_depth=128, max_leaves=1024,
  25206. min_child_weight=1, missing=nan,
  25207. monotone_constraints='()', n_estimators=100,
  25208. n_jobs=-1, num_parallel_tree=1,
  25209. objective='binary:logistic', random_state=8985,
  25210. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  25211. subsample=1, tree_method='gpu_hist',
  25212. use_label_encoder=True, validate_parameters=1,
  25213. verbosity=0)]],
  25214. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  25215. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25216. steps=[('dtypes',
  25217. DataTypes_Auto_infer(categorical_features=[],
  25218. display_types=True, features_todrop=[],
  25219. id_columns=[],
  25220. ml_usecase='classification',
  25221. numerical_features=[], target='label',
  25222. time_features=[])),
  25223. ('imputer',
  25224. Simple_Imputer(categorical_strategy='not_available',
  25225. fill_value_categorical=None,
  25226. fill_value_numerical=None,
  25227. numeric_strate...
  25228. target='label')),
  25229. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  25230. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  25231. ('dummy', Dummify(target='label')),
  25232. ('fix_perfect', Remove_100(target='label')),
  25233. ('clean_names', Clean_Colum_Names()),
  25234. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  25235. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  25236. <<<<<<< HEAD
  25237. verbose=False)
  25238. 2022-03-11 17:02:04,096:INFO:get_config() succesfully completed......................................
  25239. 2022-03-11 17:02:04,097:INFO:Initializing get_config()
  25240. 2022-03-11 17:02:04,097:INFO:get_config(variable=data_before_preprocess)
  25241. 2022-03-11 17:02:04,128:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  25242. 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25243. 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25244. 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25245. 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25246. 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
  25247. ... ... ... ... ... ... ...
  25248. 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
  25249. 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25250. 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25251. 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25252. 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25253. dd_temp door motion illum dayofweek month hour
  25254. 0 2.472812e-16 0.0 0.0 0.0 0 8 0
  25255. 1 2.472812e-16 0.0 0.0 0.0 0 8 0
  25256. 2 2.472812e-16 0.0 0.0 0.0 0 8 0
  25257. 3 2.472812e-16 0.0 0.0 0.0 0 8 0
  25258. 4 2.472812e-16 0.0 0.0 0.0 0 8 0
  25259. ... ... ... ... ... ... ... ...
  25260. 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
  25261. 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
  25262. 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
  25263. 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
  25264. 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
  25265. [64800 rows x 13 columns]
  25266. 2022-03-11 17:02:04,129:INFO:get_config() succesfully completed......................................
  25267. 2022-03-11 17:02:04,145:INFO:Initializing get_config()
  25268. 2022-03-11 17:02:04,145:INFO:get_config(variable=prep_pipe)
  25269. 2022-03-11 17:02:04,161:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  25270. =======
  25271. verbose=False), verbose=False, kwargs={})
  25272. 2022-03-10 14:26:39,657:INFO:Adding model into prep_pipe
  25273. 2022-03-10 14:26:39,851:WARNING:Only Model saved as it was a pipeline.
  25274. 2022-03-10 14:26:39,953:INFO:my_api.pkl saved in current working directory
  25275. 2022-03-10 14:26:39,959:INFO:Pipeline(memory=None,
  25276. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25277. steps=[('dtypes',
  25278. DataTypes_Auto_infer(categorical_features=[],
  25279. display_types=True, features_todrop=[],
  25280. id_columns=[],
  25281. ml_usecase='classification',
  25282. numerical_features=[], target='label',
  25283. time_features=[])),
  25284. ('imputer',
  25285. Simple_Imputer(categorical_strategy='not_available',
  25286. fill_value_categorical=None,
  25287. fill_value_numerical=None,
  25288. numeric_strate...
  25289. <<<<<<< HEAD
  25290. target='label')),
  25291. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  25292. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  25293. ('dummy', Dummify(target='label')),
  25294. ('fix_perfect', Remove_100(target='label')),
  25295. ('clean_names', Clean_Colum_Names()),
  25296. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  25297. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  25298. verbose=False)
  25299. 2022-03-11 17:02:04,162:INFO:get_config() succesfully completed......................................
  25300. 2022-03-11 17:02:04,210:INFO:Initializing save_model()
  25301. 2022-03-11 17:02:04,210:INFO:save_model(model=Pipeline(memory=None,
  25302. steps=[('dtypes',
  25303. DataTypes_Auto_infer(categorical_features=[],
  25304. display_types=True, features_todrop=[],
  25305. id_columns=[],
  25306. ml_usecase='classification',
  25307. numerical_features=[], target='label',
  25308. time_features=[])),
  25309. =======
  25310. learning_rate=0.05, max_delta_step=0,
  25311. max_depth=128, max_leaves=1024,
  25312. min_child_weight=1, missing=nan,
  25313. monotone_constraints='()', n_estimators=100,
  25314. n_jobs=-1, num_parallel_tree=1,
  25315. objective='binary:logistic', random_state=8985,
  25316. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  25317. subsample=1, tree_method='gpu_hist',
  25318. use_label_encoder=True, validate_parameters=1,
  25319. verbosity=0)]],
  25320. verbose=False)
  25321. 2022-03-10 14:26:39,959:INFO:save_model() successfully completed......................................
  25322. 2022-03-10 14:26:48,867:INFO:Initializing load_model()
  25323. 2022-03-10 14:26:48,867:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25324. 2022-03-10 14:28:53,796:INFO:Initializing predict_model()
  25325. 2022-03-10 14:28:53,797:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25326. DataTypes_Auto_infer(ml_usecase='classification',
  25327. target='label')),
  25328. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25329. ('imputer',
  25330. Simple_Imputer(categorical_strategy='not_available',
  25331. fill_value_categorical=None,
  25332. fill_value_numerical=None,
  25333. <<<<<<< HEAD
  25334. numeric_strate...
  25335. max_delta_step=0, max_depth=128, max_leaves=1024,
  25336. min_child_weight=1, missing=nan,
  25337. monotone_constraints='()', n_estimators=100,
  25338. n_jobs=-1, num_parallel_tree=1,
  25339. objective='binary:logistic', predictor='auto',
  25340. random_state=8985, reg_alpha=0, reg_lambda=1,
  25341. scale_pos_weight=1, subsample=1,
  25342. tree_method='gpu_hist', use_label_encoder=True,
  25343. validate_parameters=1, ...)]],
  25344. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  25345. =======
  25346. numeric_strategy='mean',
  25347. target_variable=None)),
  25348. ('new_levels1',
  25349. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25350. 'frequent',
  25351. targe...
  25352. importance_type=None, interaction_constraints='',
  25353. learning_rate=0.05, max_delta_step=0,
  25354. max_depth=128, max_leaves=1024,
  25355. min_child_weight=1, missing=nan,
  25356. monotone_constraints='()', n_estimators=100,
  25357. n_jobs=-1, num_parallel_tree=1,
  25358. random_state=8985, reg_alpha=0, reg_lambda=1,
  25359. scale_pos_weight=1, subsample=1,
  25360. tree_method='gpu_hist', validate_parameters=1,
  25361. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25362. 2022-03-10 14:28:53,797:INFO:Checking exceptions
  25363. 2022-03-10 14:28:53,797:INFO:Preloading libraries
  25364. 2022-03-10 14:29:44,579:INFO:Initializing predict_model()
  25365. 2022-03-10 14:29:44,579:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25366. DataTypes_Auto_infer(ml_usecase='classification',
  25367. target='label')),
  25368. ('imputer',
  25369. Simple_Imputer(categorical_strategy='not_available',
  25370. fill_value_categorical=None,
  25371. fill_value_numerical=None,
  25372. numeric_strategy='mean',
  25373. target_variable=None)),
  25374. ('new_levels1',
  25375. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25376. 'frequent',
  25377. targe...
  25378. importance_type=None, interaction_constraints='',
  25379. learning_rate=0.05, max_delta_step=0,
  25380. max_depth=128, max_leaves=1024,
  25381. min_child_weight=1, missing=nan,
  25382. monotone_constraints='()', n_estimators=100,
  25383. n_jobs=-1, num_parallel_tree=1,
  25384. random_state=8985, reg_alpha=0, reg_lambda=1,
  25385. scale_pos_weight=1, subsample=1,
  25386. tree_method='gpu_hist', validate_parameters=1,
  25387. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25388. 2022-03-10 14:29:44,579:INFO:Checking exceptions
  25389. 2022-03-10 14:29:44,579:INFO:Preloading libraries
  25390. 2022-03-10 15:27:50,812:INFO:PyCaret Supervised Module
  25391. 2022-03-10 15:27:50,813:INFO:ML Usecase: classification
  25392. 2022-03-10 15:27:50,813:INFO:version 2.3.6
  25393. 2022-03-10 15:27:50,813:INFO:Initializing setup()
  25394. 2022-03-10 15:27:50,813:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  25395. 2022-03-10 15:27:50,813:INFO:Checking environment
  25396. 2022-03-10 15:27:50,813:INFO:python_version: 3.8.8
  25397. 2022-03-10 15:27:50,814:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  25398. 2022-03-10 15:27:50,814:INFO:machine: x86_64
  25399. 2022-03-10 15:27:50,814:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  25400. 2022-03-10 15:27:50,814:INFO:Memory: svmem(total=33619935232, available=29765517312, percent=11.5, used=2997899264, free=16263004160, active=4331507712, inactive=11966017536, buffers=378396672, cached=13980635136, shared=383381504, slab=763281408)
  25401. 2022-03-10 15:27:50,815:INFO:Physical Core: 16
  25402. 2022-03-10 15:27:50,815:INFO:Logical Core: 32
  25403. 2022-03-10 15:27:50,815:INFO:Checking libraries
  25404. 2022-03-10 15:27:50,815:INFO:pd==1.3.0
  25405. 2022-03-10 15:27:50,815:INFO:numpy==1.19.5
  25406. 2022-03-10 15:27:50,816:INFO:sklearn==0.23.2
  25407. 2022-03-10 15:27:50,816:INFO:lightgbm==3.3.2
  25408. 2022-03-10 15:27:50,816:WARNING:catboost not found
  25409. 2022-03-10 15:27:50,826:INFO:xgboost==1.4.2
  25410. 2022-03-10 15:27:50,946:INFO:mlflow==1.22.0
  25411. 2022-03-10 15:27:50,947:INFO:Checking Exceptions
  25412. 2022-03-10 15:27:50,947:INFO:Declaring global variables
  25413. 2022-03-10 15:27:50,948:INFO:USI: d0bf
  25414. 2022-03-10 15:27:50,948:INFO:pycaret_globals: {'_ml_usecase', 'X', 'create_model_container', '_available_plots', 'fix_imbalance_param', 'fold_generator', 'X_train', 'pycaret_globals', 'iterative_imputation_iters_param', 'master_model_container', 'fold_shuffle_param', 'seed', 'n_jobs_param', 'X_test', 'imputation_regressor', 'data_before_preprocess', 'fold_param', 'transform_target_param', 'transform_target_method_param', 'target_param', 'fold_groups_param_full', 'log_plots_param', 'y', 'html_param', 'y_test', 'y_train', '_all_models', 'fix_imbalance_method_param', 'display_container', '_all_models_internal', 'experiment__', 'gpu_param', '_internal_pipeline', 'exp_name_log', 'USI', 'prep_pipe', 'stratify_param', '_all_metrics', '_gpu_n_jobs_param', 'imputation_classifier', 'logging_param', 'fold_groups_param'}
  25415. 2022-03-10 15:27:50,948:INFO:Preparing display monitor
  25416. 2022-03-10 15:27:50,948:INFO:Preparing display monitor
  25417. 2022-03-10 15:27:50,957:INFO:Importing libraries
  25418. 2022-03-10 15:27:50,957:INFO:Copying data for preprocessing
  25419. 2022-03-10 15:27:50,963:INFO:Declaring preprocessing parameters
  25420. 2022-03-10 15:27:50,966:INFO:Creating preprocessing pipeline
  25421. 2022-03-10 15:27:51,008:INFO:Preprocessing pipeline created successfully
  25422. 2022-03-10 15:27:51,009:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  25423. 2022-03-10 15:27:51,009:INFO:Creating global containers
  25424. 2022-03-10 15:27:51,009:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  25425. 2022-03-10 15:27:53,765:WARNING:Couldn't import catboost.CatBoostClassifier
  25426. 2022-03-10 15:27:53,812:WARNING:Couldn't import catboost.CatBoostClassifier
  25427. 2022-03-10 15:27:53,812:INFO:Creating grid variables
  25428. 2022-03-10 15:27:53,819:INFO:create_model_container: 0
  25429. 2022-03-10 15:27:53,820:INFO:master_model_container: 0
  25430. 2022-03-10 15:27:53,820:INFO:display_container: 1
  25431. 2022-03-10 15:27:53,823:INFO:Pipeline(memory=None,
  25432. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25433. steps=[('dtypes',
  25434. DataTypes_Auto_infer(categorical_features=[],
  25435. display_types=True, features_todrop=[],
  25436. id_columns=[],
  25437. ml_usecase='classification',
  25438. numerical_features=[], target='label',
  25439. time_features=[])),
  25440. ('imputer',
  25441. Simple_Imputer(categorical_strategy='not_available',
  25442. fill_value_categorical=None,
  25443. fill_value_numerical=None,
  25444. numeric_strate...
  25445. target='label')),
  25446. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  25447. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  25448. ('dummy', Dummify(target='label')),
  25449. ('fix_perfect', Remove_100(target='label')),
  25450. ('clean_names', Clean_Colum_Names()),
  25451. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  25452. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  25453. <<<<<<< HEAD
  25454. verbose=False), verbose=False, kwargs={})
  25455. 2022-03-11 17:02:04,211:INFO:Adding model into prep_pipe
  25456. 2022-03-11 17:02:05,059:WARNING:Only Model saved as it was a pipeline.
  25457. 2022-03-11 17:02:05,769:INFO:my_api.pkl saved in current working directory
  25458. 2022-03-11 17:02:05,797:INFO:Pipeline(memory=None,
  25459. =======
  25460. verbose=False)
  25461. 2022-03-10 15:27:53,823:INFO:setup() succesfully completed......................................
  25462. 2022-03-10 15:27:56,359:INFO:Initializing load_model()
  25463. 2022-03-10 15:27:56,359:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  25464. 2022-03-10 15:27:58,951:INFO:Initializing predict_model()
  25465. 2022-03-10 15:27:58,951:INFO:predict_model(estimator=Pipeline(memory=None,
  25466. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25467. steps=[('dtypes',
  25468. DataTypes_Auto_infer(categorical_features=[],
  25469. display_types=True, features_todrop=[],
  25470. id_columns=[],
  25471. ml_usecase='classification',
  25472. numerical_features=[], target='label',
  25473. time_features=[])),
  25474. ('imputer',
  25475. Simple_Imputer(categorical_strategy='not_available',
  25476. fill_value_categorical=None,
  25477. fill_value_numerical=None,
  25478. numeric_strate...
  25479. <<<<<<< HEAD
  25480. max_delta_step=0, max_depth=128, max_leaves=1024,
  25481. min_child_weight=1, missing=nan,
  25482. monotone_constraints='()', n_estimators=100,
  25483. n_jobs=-1, num_parallel_tree=1,
  25484. objective='binary:logistic', predictor='auto',
  25485. random_state=8985, reg_alpha=0, reg_lambda=1,
  25486. scale_pos_weight=1, subsample=1,
  25487. tree_method='gpu_hist', use_label_encoder=True,
  25488. validate_parameters=1, ...)]],
  25489. verbose=False)
  25490. 2022-03-11 17:02:05,797:INFO:save_model() successfully completed......................................
  25491. 2022-03-11 17:02:25,990:INFO:Initializing load_model()
  25492. 2022-03-11 17:02:25,991:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25493. 2022-03-11 17:02:51,270:INFO:Initializing load_model()
  25494. 2022-03-11 17:02:51,280:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25495. 2022-03-11 17:06:51,343:INFO:Initializing get_config()
  25496. 2022-03-11 17:06:51,344:INFO:get_config(variable=prep_pipe)
  25497. 2022-03-11 17:06:51,349:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  25498. =======
  25499. learning_rate=0.05, max_delta_step=0,
  25500. max_depth=128, max_leaves=1024,
  25501. min_child_weight=1, missing=nan,
  25502. monotone_constraints='()', n_estimators=100,
  25503. n_jobs=-1, num_parallel_tree=1,
  25504. objective='binary:logistic', random_state=8985,
  25505. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  25506. subsample=1, tree_method='gpu_hist',
  25507. use_label_encoder=True, validate_parameters=1,
  25508. verbosity=0)]],
  25509. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25510. 2022-03-10 15:27:58,951:INFO:Checking exceptions
  25511. 2022-03-10 15:27:58,951:INFO:Preloading libraries
  25512. 2022-03-10 15:27:58,952:INFO:Preparing display monitor
  25513. 2022-03-10 15:28:01,674:INFO:Initializing get_config()
  25514. 2022-03-10 15:28:01,674:INFO:get_config(variable=prep_pipe)
  25515. 2022-03-10 15:28:01,677:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  25516. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25517. steps=[('dtypes',
  25518. DataTypes_Auto_infer(categorical_features=[],
  25519. display_types=True, features_todrop=[],
  25520. id_columns=[],
  25521. ml_usecase='classification',
  25522. numerical_features=[], target='label',
  25523. time_features=[])),
  25524. ('imputer',
  25525. Simple_Imputer(categorical_strategy='not_available',
  25526. fill_value_categorical=None,
  25527. fill_value_numerical=None,
  25528. numeric_strate...
  25529. target='label')),
  25530. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  25531. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  25532. ('dummy', Dummify(target='label')),
  25533. ('fix_perfect', Remove_100(target='label')),
  25534. ('clean_names', Clean_Colum_Names()),
  25535. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  25536. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  25537. verbose=False)
  25538. <<<<<<< HEAD
  25539. 2022-03-11 17:06:51,350:INFO:get_config() succesfully completed......................................
  25540. 2022-03-11 17:06:51,350:INFO:Initializing get_config()
  25541. 2022-03-11 17:06:51,350:INFO:get_config(variable=data_before_preprocess)
  25542. 2022-03-11 17:06:51,360:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  25543. =======
  25544. 2022-03-10 15:28:01,677:INFO:get_config() succesfully completed......................................
  25545. 2022-03-10 15:28:01,677:INFO:Initializing get_config()
  25546. 2022-03-10 15:28:01,677:INFO:get_config(variable=data_before_preprocess)
  25547. 2022-03-10 15:28:01,682:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
  25548. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25549. 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25550. 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25551. 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25552. 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
  25553. 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
  25554. ... ... ... ... ... ... ...
  25555. 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
  25556. 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25557. 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25558. 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25559. 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
  25560. dd_temp door motion illum dayofweek month hour
  25561. 0 2.472812e-16 0.0 0.0 0.0 0 8 0
  25562. 1 2.472812e-16 0.0 0.0 0.0 0 8 0
  25563. 2 2.472812e-16 0.0 0.0 0.0 0 8 0
  25564. 3 2.472812e-16 0.0 0.0 0.0 0 8 0
  25565. 4 2.472812e-16 0.0 0.0 0.0 0 8 0
  25566. ... ... ... ... ... ... ... ...
  25567. 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
  25568. 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
  25569. 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
  25570. 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
  25571. 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
  25572. [64800 rows x 13 columns]
  25573. <<<<<<< HEAD
  25574. 2022-03-11 17:06:51,361:INFO:get_config() succesfully completed......................................
  25575. 2022-03-11 17:06:51,364:INFO:Initializing get_config()
  25576. 2022-03-11 17:06:51,365:INFO:get_config(variable=prep_pipe)
  25577. 2022-03-11 17:06:51,370:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  25578. =======
  25579. 2022-03-10 15:28:01,682:INFO:get_config() succesfully completed......................................
  25580. 2022-03-10 15:28:01,684:INFO:Initializing get_config()
  25581. 2022-03-10 15:28:01,684:INFO:get_config(variable=prep_pipe)
  25582. 2022-03-10 15:28:01,687:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  25583. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25584. steps=[('dtypes',
  25585. DataTypes_Auto_infer(categorical_features=[],
  25586. display_types=True, features_todrop=[],
  25587. id_columns=[],
  25588. ml_usecase='classification',
  25589. numerical_features=[], target='label',
  25590. time_features=[])),
  25591. ('imputer',
  25592. Simple_Imputer(categorical_strategy='not_available',
  25593. fill_value_categorical=None,
  25594. fill_value_numerical=None,
  25595. numeric_strate...
  25596. target='label')),
  25597. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  25598. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  25599. ('dummy', Dummify(target='label')),
  25600. ('fix_perfect', Remove_100(target='label')),
  25601. ('clean_names', Clean_Colum_Names()),
  25602. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  25603. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  25604. verbose=False)
  25605. <<<<<<< HEAD
  25606. 2022-03-11 17:06:51,370:INFO:get_config() succesfully completed......................................
  25607. 2022-03-11 17:06:51,389:INFO:Initializing save_model()
  25608. 2022-03-11 17:06:51,390:INFO:save_model(model=Pipeline(memory=None,
  25609. =======
  25610. 2022-03-10 15:28:01,687:INFO:get_config() succesfully completed......................................
  25611. 2022-03-10 15:28:01,695:INFO:Initializing save_model()
  25612. 2022-03-10 15:28:01,695:INFO:save_model(model=Pipeline(memory=None,
  25613. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25614. steps=[('dtypes',
  25615. DataTypes_Auto_infer(categorical_features=[],
  25616. display_types=True, features_todrop=[],
  25617. id_columns=[],
  25618. ml_usecase='classification',
  25619. numerical_features=[], target='label',
  25620. time_features=[])),
  25621. ('imputer',
  25622. Simple_Imputer(categorical_strategy='not_available',
  25623. fill_value_categorical=None,
  25624. fill_value_numerical=None,
  25625. numeric_strate...
  25626. <<<<<<< HEAD
  25627. max_delta_step=0, max_depth=128, max_leaves=1024,
  25628. min_child_weight=1, missing=nan,
  25629. monotone_constraints='()', n_estimators=100,
  25630. n_jobs=-1, num_parallel_tree=1,
  25631. objective='binary:logistic', predictor='auto',
  25632. random_state=8985, reg_alpha=0, reg_lambda=1,
  25633. scale_pos_weight=1, subsample=1,
  25634. tree_method='gpu_hist', use_label_encoder=True,
  25635. validate_parameters=1, ...)]],
  25636. =======
  25637. learning_rate=0.05, max_delta_step=0,
  25638. max_depth=128, max_leaves=1024,
  25639. min_child_weight=1, missing=nan,
  25640. monotone_constraints='()', n_estimators=100,
  25641. n_jobs=-1, num_parallel_tree=1,
  25642. objective='binary:logistic', random_state=8985,
  25643. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  25644. subsample=1, tree_method='gpu_hist',
  25645. use_label_encoder=True, validate_parameters=1,
  25646. verbosity=0)]],
  25647. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25648. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  25649. steps=[('dtypes',
  25650. DataTypes_Auto_infer(categorical_features=[],
  25651. display_types=True, features_todrop=[],
  25652. id_columns=[],
  25653. ml_usecase='classification',
  25654. numerical_features=[], target='label',
  25655. time_features=[])),
  25656. ('imputer',
  25657. Simple_Imputer(categorical_strategy='not_available',
  25658. fill_value_categorical=None,
  25659. fill_value_numerical=None,
  25660. numeric_strate...
  25661. target='label')),
  25662. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  25663. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  25664. ('dummy', Dummify(target='label')),
  25665. ('fix_perfect', Remove_100(target='label')),
  25666. ('clean_names', Clean_Colum_Names()),
  25667. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  25668. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  25669. verbose=False), verbose=False, kwargs={})
  25670. <<<<<<< HEAD
  25671. 2022-03-11 17:06:51,390:INFO:Adding model into prep_pipe
  25672. 2022-03-11 17:06:51,830:WARNING:Only Model saved as it was a pipeline.
  25673. 2022-03-11 17:06:52,063:INFO:my_api.pkl saved in current working directory
  25674. 2022-03-11 17:06:52,077:INFO:Pipeline(memory=None,
  25675. =======
  25676. 2022-03-10 15:28:01,695:INFO:Adding model into prep_pipe
  25677. 2022-03-10 15:28:01,891:WARNING:Only Model saved as it was a pipeline.
  25678. 2022-03-10 15:28:01,992:INFO:my_api.pkl saved in current working directory
  25679. 2022-03-10 15:28:01,998:INFO:Pipeline(memory=None,
  25680. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25681. steps=[('dtypes',
  25682. DataTypes_Auto_infer(categorical_features=[],
  25683. display_types=True, features_todrop=[],
  25684. id_columns=[],
  25685. ml_usecase='classification',
  25686. numerical_features=[], target='label',
  25687. time_features=[])),
  25688. ('imputer',
  25689. Simple_Imputer(categorical_strategy='not_available',
  25690. fill_value_categorical=None,
  25691. fill_value_numerical=None,
  25692. numeric_strate...
  25693. <<<<<<< HEAD
  25694. max_delta_step=0, max_depth=128, max_leaves=1024,
  25695. min_child_weight=1, missing=nan,
  25696. monotone_constraints='()', n_estimators=100,
  25697. n_jobs=-1, num_parallel_tree=1,
  25698. objective='binary:logistic', predictor='auto',
  25699. random_state=8985, reg_alpha=0, reg_lambda=1,
  25700. scale_pos_weight=1, subsample=1,
  25701. tree_method='gpu_hist', use_label_encoder=True,
  25702. validate_parameters=1, ...)]],
  25703. verbose=False)
  25704. 2022-03-11 17:06:52,078:INFO:save_model() successfully completed......................................
  25705. 2022-03-11 17:06:59,645:INFO:Initializing load_model()
  25706. 2022-03-11 17:06:59,645:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25707. 2022-03-16 09:44:42,954:INFO:Initializing load_model()
  25708. 2022-03-16 09:44:42,997:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25709. 2022-03-16 09:45:07,483:INFO:Initializing load_model()
  25710. 2022-03-16 09:45:07,484:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25711. =======
  25712. learning_rate=0.05, max_delta_step=0,
  25713. max_depth=128, max_leaves=1024,
  25714. min_child_weight=1, missing=nan,
  25715. monotone_constraints='()', n_estimators=100,
  25716. n_jobs=-1, num_parallel_tree=1,
  25717. objective='binary:logistic', random_state=8985,
  25718. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  25719. subsample=1, tree_method='gpu_hist',
  25720. use_label_encoder=True, validate_parameters=1,
  25721. verbosity=0)]],
  25722. verbose=False)
  25723. 2022-03-10 15:28:01,998:INFO:save_model() successfully completed......................................
  25724. 2022-03-15 09:38:48,566:INFO:Initializing load_model()
  25725. 2022-03-15 09:38:48,566:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25726. 2022-03-15 09:39:27,615:INFO:Initializing predict_model()
  25727. 2022-03-15 09:39:27,615:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25728. DataTypes_Auto_infer(ml_usecase='classification',
  25729. target='label')),
  25730. ('imputer',
  25731. Simple_Imputer(categorical_strategy='not_available',
  25732. fill_value_categorical=None,
  25733. fill_value_numerical=None,
  25734. numeric_strategy='mean',
  25735. target_variable=None)),
  25736. ('new_levels1',
  25737. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25738. 'frequent',
  25739. targe...
  25740. importance_type=None, interaction_constraints='',
  25741. learning_rate=0.05, max_delta_step=0,
  25742. max_depth=128, max_leaves=1024,
  25743. min_child_weight=1, missing=nan,
  25744. monotone_constraints='()', n_estimators=100,
  25745. n_jobs=-1, num_parallel_tree=1,
  25746. random_state=8985, reg_alpha=0, reg_lambda=1,
  25747. scale_pos_weight=1, subsample=1,
  25748. tree_method='gpu_hist', validate_parameters=1,
  25749. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25750. 2022-03-15 09:39:27,616:INFO:Checking exceptions
  25751. 2022-03-15 09:39:27,616:INFO:Preloading libraries
  25752. >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
  25753. 2022-03-18 14:24:57,227:INFO:Initializing load_model()
  25754. 2022-03-18 14:24:57,227:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25755. 2022-03-18 14:25:28,846:INFO:Initializing predict_model()
  25756. 2022-03-18 14:25:28,847:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25757. DataTypes_Auto_infer(ml_usecase='classification',
  25758. target='label')),
  25759. ('imputer',
  25760. Simple_Imputer(categorical_strategy='not_available',
  25761. fill_value_categorical=None,
  25762. fill_value_numerical=None,
  25763. numeric_strategy='mean',
  25764. target_variable=None)),
  25765. ('new_levels1',
  25766. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25767. 'frequent',
  25768. targe...
  25769. gamma=0, gpu_id=0, importance_type=None,
  25770. interaction_constraints='', learning_rate=0.05,
  25771. max_delta_step=0, max_depth=128, max_leaves=1024,
  25772. min_child_weight=1, missing=nan,
  25773. monotone_constraints='()', n_estimators=100,
  25774. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25775. random_state=8985, reg_alpha=0, reg_lambda=1,
  25776. scale_pos_weight=1, subsample=1,
  25777. tree_method='gpu_hist', validate_parameters=1,
  25778. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25779. 2022-03-18 14:25:28,847:INFO:Checking exceptions
  25780. 2022-03-18 14:25:28,847:INFO:Preloading libraries
  25781. 2022-03-18 14:25:36,801:INFO:Initializing predict_model()
  25782. 2022-03-18 14:25:36,801:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25783. DataTypes_Auto_infer(ml_usecase='classification',
  25784. target='label')),
  25785. ('imputer',
  25786. Simple_Imputer(categorical_strategy='not_available',
  25787. fill_value_categorical=None,
  25788. fill_value_numerical=None,
  25789. numeric_strategy='mean',
  25790. target_variable=None)),
  25791. ('new_levels1',
  25792. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25793. 'frequent',
  25794. targe...
  25795. gamma=0, gpu_id=0, importance_type=None,
  25796. interaction_constraints='', learning_rate=0.05,
  25797. max_delta_step=0, max_depth=128, max_leaves=1024,
  25798. min_child_weight=1, missing=nan,
  25799. monotone_constraints='()', n_estimators=100,
  25800. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25801. random_state=8985, reg_alpha=0, reg_lambda=1,
  25802. scale_pos_weight=1, subsample=1,
  25803. tree_method='gpu_hist', validate_parameters=1,
  25804. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25805. 2022-03-18 14:25:36,802:INFO:Checking exceptions
  25806. 2022-03-18 14:25:36,802:INFO:Preloading libraries
  25807. 2022-03-18 14:25:46,191:INFO:Initializing predict_model()
  25808. 2022-03-18 14:25:46,191:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25809. DataTypes_Auto_infer(ml_usecase='classification',
  25810. target='label')),
  25811. ('imputer',
  25812. Simple_Imputer(categorical_strategy='not_available',
  25813. fill_value_categorical=None,
  25814. fill_value_numerical=None,
  25815. numeric_strategy='mean',
  25816. target_variable=None)),
  25817. ('new_levels1',
  25818. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25819. 'frequent',
  25820. targe...
  25821. gamma=0, gpu_id=0, importance_type=None,
  25822. interaction_constraints='', learning_rate=0.05,
  25823. max_delta_step=0, max_depth=128, max_leaves=1024,
  25824. min_child_weight=1, missing=nan,
  25825. monotone_constraints='()', n_estimators=100,
  25826. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25827. random_state=8985, reg_alpha=0, reg_lambda=1,
  25828. scale_pos_weight=1, subsample=1,
  25829. tree_method='gpu_hist', validate_parameters=1,
  25830. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25831. 2022-03-18 14:25:46,191:INFO:Checking exceptions
  25832. 2022-03-18 14:25:46,192:INFO:Preloading libraries
  25833. 2022-03-18 14:25:52,325:INFO:Initializing predict_model()
  25834. 2022-03-18 14:25:52,326:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25835. DataTypes_Auto_infer(ml_usecase='classification',
  25836. target='label')),
  25837. ('imputer',
  25838. Simple_Imputer(categorical_strategy='not_available',
  25839. fill_value_categorical=None,
  25840. fill_value_numerical=None,
  25841. numeric_strategy='mean',
  25842. target_variable=None)),
  25843. ('new_levels1',
  25844. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25845. 'frequent',
  25846. targe...
  25847. gamma=0, gpu_id=0, importance_type=None,
  25848. interaction_constraints='', learning_rate=0.05,
  25849. max_delta_step=0, max_depth=128, max_leaves=1024,
  25850. min_child_weight=1, missing=nan,
  25851. monotone_constraints='()', n_estimators=100,
  25852. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25853. random_state=8985, reg_alpha=0, reg_lambda=1,
  25854. scale_pos_weight=1, subsample=1,
  25855. tree_method='gpu_hist', validate_parameters=1,
  25856. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25857. 2022-03-18 14:25:52,326:INFO:Checking exceptions
  25858. 2022-03-18 14:25:52,326:INFO:Preloading libraries
  25859. 2022-03-18 14:25:55,677:INFO:Initializing predict_model()
  25860. 2022-03-18 14:25:55,677:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25861. DataTypes_Auto_infer(ml_usecase='classification',
  25862. target='label')),
  25863. ('imputer',
  25864. Simple_Imputer(categorical_strategy='not_available',
  25865. fill_value_categorical=None,
  25866. fill_value_numerical=None,
  25867. numeric_strategy='mean',
  25868. target_variable=None)),
  25869. ('new_levels1',
  25870. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25871. 'frequent',
  25872. targe...
  25873. gamma=0, gpu_id=0, importance_type=None,
  25874. interaction_constraints='', learning_rate=0.05,
  25875. max_delta_step=0, max_depth=128, max_leaves=1024,
  25876. min_child_weight=1, missing=nan,
  25877. monotone_constraints='()', n_estimators=100,
  25878. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25879. random_state=8985, reg_alpha=0, reg_lambda=1,
  25880. scale_pos_weight=1, subsample=1,
  25881. tree_method='gpu_hist', validate_parameters=1,
  25882. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25883. 2022-03-18 14:25:55,678:INFO:Checking exceptions
  25884. 2022-03-18 14:25:55,678:INFO:Preloading libraries
  25885. 2022-03-21 16:03:32,126:INFO:Initializing load_model()
  25886. 2022-03-21 16:03:32,127:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  25887. 2022-03-21 16:05:51,862:INFO:Initializing predict_model()
  25888. 2022-03-21 16:05:51,865:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25889. DataTypes_Auto_infer(ml_usecase='classification',
  25890. target='label')),
  25891. ('imputer',
  25892. Simple_Imputer(categorical_strategy='not_available',
  25893. fill_value_categorical=None,
  25894. fill_value_numerical=None,
  25895. numeric_strategy='mean',
  25896. target_variable=None)),
  25897. ('new_levels1',
  25898. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25899. 'frequent',
  25900. targe...
  25901. gamma=0, gpu_id=0, importance_type=None,
  25902. interaction_constraints='', learning_rate=0.05,
  25903. max_delta_step=0, max_depth=128, max_leaves=1024,
  25904. min_child_weight=1, missing=nan,
  25905. monotone_constraints='()', n_estimators=100,
  25906. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25907. random_state=8985, reg_alpha=0, reg_lambda=1,
  25908. scale_pos_weight=1, subsample=1,
  25909. tree_method='gpu_hist', validate_parameters=1,
  25910. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25911. 2022-03-21 16:05:51,866:INFO:Checking exceptions
  25912. 2022-03-21 16:05:51,869:INFO:Preloading libraries
  25913. 2022-03-21 17:41:13,321:INFO:Initializing predict_model()
  25914. 2022-03-21 17:41:13,325:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25915. DataTypes_Auto_infer(ml_usecase='classification',
  25916. target='label')),
  25917. ('imputer',
  25918. Simple_Imputer(categorical_strategy='not_available',
  25919. fill_value_categorical=None,
  25920. fill_value_numerical=None,
  25921. numeric_strategy='mean',
  25922. target_variable=None)),
  25923. ('new_levels1',
  25924. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25925. 'frequent',
  25926. targe...
  25927. gamma=0, gpu_id=0, importance_type=None,
  25928. interaction_constraints='', learning_rate=0.05,
  25929. max_delta_step=0, max_depth=128, max_leaves=1024,
  25930. min_child_weight=1, missing=nan,
  25931. monotone_constraints='()', n_estimators=100,
  25932. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25933. random_state=8985, reg_alpha=0, reg_lambda=1,
  25934. scale_pos_weight=1, subsample=1,
  25935. tree_method='gpu_hist', validate_parameters=1,
  25936. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25937. 2022-03-21 17:41:13,326:INFO:Checking exceptions
  25938. 2022-03-21 17:41:13,326:INFO:Preloading libraries
  25939. 2022-03-21 17:45:09,493:INFO:Initializing predict_model()
  25940. 2022-03-21 17:45:09,493:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25941. DataTypes_Auto_infer(ml_usecase='classification',
  25942. target='label')),
  25943. ('imputer',
  25944. Simple_Imputer(categorical_strategy='not_available',
  25945. fill_value_categorical=None,
  25946. fill_value_numerical=None,
  25947. numeric_strategy='mean',
  25948. target_variable=None)),
  25949. ('new_levels1',
  25950. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25951. 'frequent',
  25952. targe...
  25953. gamma=0, gpu_id=0, importance_type=None,
  25954. interaction_constraints='', learning_rate=0.05,
  25955. max_delta_step=0, max_depth=128, max_leaves=1024,
  25956. min_child_weight=1, missing=nan,
  25957. monotone_constraints='()', n_estimators=100,
  25958. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25959. random_state=8985, reg_alpha=0, reg_lambda=1,
  25960. scale_pos_weight=1, subsample=1,
  25961. tree_method='gpu_hist', validate_parameters=1,
  25962. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25963. 2022-03-21 17:45:09,496:INFO:Checking exceptions
  25964. 2022-03-21 17:45:09,499:INFO:Preloading libraries
  25965. 2022-03-21 17:45:28,579:INFO:Initializing predict_model()
  25966. 2022-03-21 17:45:28,580:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25967. DataTypes_Auto_infer(ml_usecase='classification',
  25968. target='label')),
  25969. ('imputer',
  25970. Simple_Imputer(categorical_strategy='not_available',
  25971. fill_value_categorical=None,
  25972. fill_value_numerical=None,
  25973. numeric_strategy='mean',
  25974. target_variable=None)),
  25975. ('new_levels1',
  25976. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  25977. 'frequent',
  25978. targe...
  25979. gamma=0, gpu_id=0, importance_type=None,
  25980. interaction_constraints='', learning_rate=0.05,
  25981. max_delta_step=0, max_depth=128, max_leaves=1024,
  25982. min_child_weight=1, missing=nan,
  25983. monotone_constraints='()', n_estimators=100,
  25984. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  25985. random_state=8985, reg_alpha=0, reg_lambda=1,
  25986. scale_pos_weight=1, subsample=1,
  25987. tree_method='gpu_hist', validate_parameters=1,
  25988. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  25989. 2022-03-21 17:45:28,580:INFO:Checking exceptions
  25990. 2022-03-21 17:45:28,580:INFO:Preloading libraries
  25991. 2022-03-21 17:45:37,153:INFO:Initializing predict_model()
  25992. 2022-03-21 17:45:37,154:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  25993. DataTypes_Auto_infer(ml_usecase='classification',
  25994. target='label')),
  25995. ('imputer',
  25996. Simple_Imputer(categorical_strategy='not_available',
  25997. fill_value_categorical=None,
  25998. fill_value_numerical=None,
  25999. numeric_strategy='mean',
  26000. target_variable=None)),
  26001. ('new_levels1',
  26002. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  26003. 'frequent',
  26004. targe...
  26005. gamma=0, gpu_id=0, importance_type=None,
  26006. interaction_constraints='', learning_rate=0.05,
  26007. max_delta_step=0, max_depth=128, max_leaves=1024,
  26008. min_child_weight=1, missing=nan,
  26009. monotone_constraints='()', n_estimators=100,
  26010. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  26011. random_state=8985, reg_alpha=0, reg_lambda=1,
  26012. scale_pos_weight=1, subsample=1,
  26013. tree_method='gpu_hist', validate_parameters=1,
  26014. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  26015. 2022-03-21 17:45:37,154:INFO:Checking exceptions
  26016. 2022-03-21 17:45:37,154:INFO:Preloading libraries
  26017. 2022-03-21 17:45:57,666:INFO:Initializing predict_model()
  26018. 2022-03-21 17:45:57,667:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  26019. DataTypes_Auto_infer(ml_usecase='classification',
  26020. target='label')),
  26021. ('imputer',
  26022. Simple_Imputer(categorical_strategy='not_available',
  26023. fill_value_categorical=None,
  26024. fill_value_numerical=None,
  26025. numeric_strategy='mean',
  26026. target_variable=None)),
  26027. ('new_levels1',
  26028. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  26029. 'frequent',
  26030. targe...
  26031. gamma=0, gpu_id=0, importance_type=None,
  26032. interaction_constraints='', learning_rate=0.05,
  26033. max_delta_step=0, max_depth=128, max_leaves=1024,
  26034. min_child_weight=1, missing=nan,
  26035. monotone_constraints='()', n_estimators=100,
  26036. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  26037. random_state=8985, reg_alpha=0, reg_lambda=1,
  26038. scale_pos_weight=1, subsample=1,
  26039. tree_method='gpu_hist', validate_parameters=1,
  26040. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  26041. 2022-03-21 17:45:57,668:INFO:Checking exceptions
  26042. 2022-03-21 17:45:57,668:INFO:Preloading libraries
  26043. 2022-03-23 15:45:49,475:INFO:PyCaret Supervised Module
  26044. 2022-03-23 15:45:49,475:INFO:ML Usecase: classification
  26045. 2022-03-23 15:45:49,476:INFO:version 2.3.6
  26046. 2022-03-23 15:45:49,483:INFO:Initializing setup()
  26047. 2022-03-23 15:45:49,483:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  26048. 2022-03-23 15:45:49,501:INFO:Checking environment
  26049. 2022-03-23 15:45:49,503:INFO:python_version: 3.8.12
  26050. 2022-03-23 15:45:49,504:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
  26051. 2022-03-23 15:45:49,504:INFO:machine: x86_64
  26052. 2022-03-23 15:45:49,505:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
  26053. 2022-03-23 15:45:49,506:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
  26054. 2022-03-23 15:45:49,507:INFO:Checking libraries
  26055. 2022-03-23 15:45:49,507:INFO:pd==1.4.1
  26056. 2022-03-23 15:45:49,508:INFO:numpy==1.19.5
  26057. 2022-03-23 15:45:49,508:INFO:sklearn==0.23.2
  26058. 2022-03-23 15:45:49,508:INFO:lightgbm==3.3.2
  26059. 2022-03-23 15:45:49,526:WARNING:catboost not found
  26060. 2022-03-23 15:45:49,741:INFO:xgboost==1.5.2
  26061. 2022-03-23 15:45:50,941:INFO:mlflow==1.24.0
  26062. 2022-03-23 15:45:50,951:INFO:Checking Exceptions
  26063. 2022-03-23 15:45:50,952:INFO:Declaring global variables
  26064. 2022-03-23 15:45:50,952:INFO:USI: 0df6
  26065. 2022-03-23 15:45:50,952:INFO:pycaret_globals: {'X_test', 'fix_imbalance_method_param', '_all_models_internal', 'experiment__', 'y_test', 'seed', '_ml_usecase', 'html_param', 'fold_shuffle_param', 'X', 'gpu_param', 'imputation_regressor', 'y', 'fold_generator', 'logging_param', 'log_plots_param', 'pycaret_globals', '_gpu_n_jobs_param', 'transform_target_param', 'stratify_param', 'fold_groups_param_full', 'fold_param', 'imputation_classifier', 'master_model_container', 'target_param', 'transform_target_method_param', '_all_models', 'n_jobs_param', '_internal_pipeline', 'USI', 'iterative_imputation_iters_param', 'fold_groups_param', '_available_plots', 'y_train', 'fix_imbalance_param', 'display_container', 'create_model_container', '_all_metrics', 'data_before_preprocess', 'exp_name_log', 'prep_pipe', 'X_train'}
  26066. 2022-03-23 15:45:50,953:INFO:Preparing display monitor
  26067. 2022-03-23 15:45:50,953:INFO:Preparing display monitor
  26068. 2022-03-23 15:45:51,007:INFO:Importing libraries
  26069. 2022-03-23 15:45:51,008:INFO:Copying data for preprocessing
  26070. 2022-03-23 15:45:51,044:INFO:Declaring preprocessing parameters
  26071. 2022-03-23 15:45:51,072:INFO:Creating preprocessing pipeline
  26072. 2022-03-23 15:45:51,223:INFO:Preprocessing pipeline created successfully
  26073. 2022-03-23 15:45:51,224:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  26074. 2022-03-23 15:45:51,225:INFO:Creating global containers
  26075. 2022-03-23 15:45:51,228:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  26076. 2022-03-23 15:45:57,630:WARNING:Couldn't import catboost.CatBoostClassifier
  26077. 2022-03-23 15:45:57,809:WARNING:Couldn't import catboost.CatBoostClassifier
  26078. 2022-03-23 15:45:57,811:INFO:Creating grid variables
  26079. 2022-03-23 15:45:57,846:INFO:create_model_container: 0
  26080. 2022-03-23 15:45:57,847:INFO:master_model_container: 0
  26081. 2022-03-23 15:45:57,847:INFO:display_container: 1
  26082. 2022-03-23 15:45:57,858:INFO:Pipeline(memory=None,
  26083. steps=[('dtypes',
  26084. DataTypes_Auto_infer(categorical_features=[],
  26085. display_types=True, features_todrop=[],
  26086. id_columns=[],
  26087. ml_usecase='classification',
  26088. numerical_features=[], target='label',
  26089. time_features=[])),
  26090. ('imputer',
  26091. Simple_Imputer(categorical_strategy='not_available',
  26092. fill_value_categorical=None,
  26093. fill_value_numerical=None,
  26094. numeric_strate...
  26095. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26096. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26097. ('cluster_all', 'passthrough'),
  26098. ('dummy', Dummify(target='label')),
  26099. ('fix_perfect', Remove_100(target='label')),
  26100. ('clean_names', Clean_Colum_Names()),
  26101. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26102. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26103. verbose=False)
  26104. 2022-03-23 15:45:57,859:INFO:setup() succesfully completed......................................
  26105. 2022-03-23 15:46:39,451:INFO:PyCaret Supervised Module
  26106. 2022-03-23 15:46:39,453:INFO:ML Usecase: classification
  26107. 2022-03-23 15:46:39,453:INFO:version 2.3.6
  26108. 2022-03-23 15:46:39,454:INFO:Initializing setup()
  26109. 2022-03-23 15:46:39,454:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  26110. 2022-03-23 15:46:39,455:INFO:Checking environment
  26111. 2022-03-23 15:46:39,455:INFO:python_version: 3.8.12
  26112. 2022-03-23 15:46:39,455:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
  26113. 2022-03-23 15:46:39,456:INFO:machine: x86_64
  26114. 2022-03-23 15:46:39,456:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
  26115. 2022-03-23 15:46:39,457:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
  26116. 2022-03-23 15:46:39,458:INFO:Checking libraries
  26117. 2022-03-23 15:46:39,458:INFO:pd==1.4.1
  26118. 2022-03-23 15:46:39,458:INFO:numpy==1.19.5
  26119. 2022-03-23 15:46:39,459:INFO:sklearn==0.23.2
  26120. 2022-03-23 15:46:39,459:INFO:lightgbm==3.3.2
  26121. 2022-03-23 15:46:39,482:WARNING:catboost not found
  26122. 2022-03-23 15:46:39,601:INFO:xgboost==1.5.2
  26123. 2022-03-23 15:46:40,161:INFO:mlflow==1.24.0
  26124. 2022-03-23 15:46:40,163:INFO:Checking Exceptions
  26125. 2022-03-23 15:46:40,164:INFO:Declaring global variables
  26126. 2022-03-23 15:46:40,164:INFO:USI: af98
  26127. 2022-03-23 15:46:40,165:INFO:pycaret_globals: {'X', 'USI', 'seed', 'X_test', 'exp_name_log', 'logging_param', 'pycaret_globals', '_available_plots', 'imputation_classifier', '_gpu_n_jobs_param', 'y_test', 'fold_groups_param', '_internal_pipeline', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', 'experiment__', 'display_container', 'y', 'html_param', 'transform_target_param', 'data_before_preprocess', 'X_train', 'log_plots_param', 'target_param', 'fix_imbalance_param', 'fix_imbalance_method_param', 'stratify_param', 'y_train', '_ml_usecase', '_all_models', 'fold_generator', 'transform_target_method_param', 'create_model_container', 'fold_param', 'fold_groups_param_full', 'iterative_imputation_iters_param', 'fold_shuffle_param', '_all_metrics', 'prep_pipe', 'imputation_regressor'}
  26128. 2022-03-23 15:46:40,165:INFO:Preparing display monitor
  26129. 2022-03-23 15:46:40,166:INFO:Preparing display monitor
  26130. 2022-03-23 15:46:40,200:INFO:Importing libraries
  26131. 2022-03-23 15:46:40,202:INFO:Copying data for preprocessing
  26132. 2022-03-23 15:46:40,223:INFO:Declaring preprocessing parameters
  26133. 2022-03-23 15:46:40,232:INFO:Creating preprocessing pipeline
  26134. 2022-03-23 15:46:40,351:INFO:Preprocessing pipeline created successfully
  26135. 2022-03-23 15:46:40,352:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  26136. 2022-03-23 15:46:40,352:INFO:Creating global containers
  26137. 2022-03-23 15:46:40,354:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  26138. 2022-03-23 15:46:44,466:WARNING:Couldn't import catboost.CatBoostClassifier
  26139. 2022-03-23 15:46:44,689:WARNING:Couldn't import catboost.CatBoostClassifier
  26140. 2022-03-23 15:46:44,691:INFO:Creating grid variables
  26141. 2022-03-23 15:46:44,753:INFO:create_model_container: 0
  26142. 2022-03-23 15:46:44,753:INFO:master_model_container: 0
  26143. 2022-03-23 15:46:44,754:INFO:display_container: 1
  26144. 2022-03-23 15:46:44,771:INFO:Pipeline(memory=None,
  26145. steps=[('dtypes',
  26146. DataTypes_Auto_infer(categorical_features=[],
  26147. display_types=True, features_todrop=[],
  26148. id_columns=[],
  26149. ml_usecase='classification',
  26150. numerical_features=[], target='label',
  26151. time_features=[])),
  26152. ('imputer',
  26153. Simple_Imputer(categorical_strategy='not_available',
  26154. fill_value_categorical=None,
  26155. fill_value_numerical=None,
  26156. numeric_strate...
  26157. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26158. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26159. ('cluster_all', 'passthrough'),
  26160. ('dummy', Dummify(target='label')),
  26161. ('fix_perfect', Remove_100(target='label')),
  26162. ('clean_names', Clean_Colum_Names()),
  26163. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26164. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26165. verbose=False)
  26166. 2022-03-23 15:46:44,771:INFO:setup() succesfully completed......................................
  26167. 2022-03-23 15:46:55,477:INFO:Initializing create_model()
  26168. 2022-03-23 15:46:55,478:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  26169. 2022-03-23 15:46:55,479:INFO:Checking exceptions
  26170. 2022-03-23 15:46:55,479:INFO:Preparing display monitor
  26171. 2022-03-23 15:46:55,538:INFO:Importing libraries
  26172. 2022-03-23 15:46:55,539:INFO:Copying training dataset
  26173. 2022-03-23 15:46:55,542:INFO:Defining folds
  26174. 2022-03-23 15:46:55,543:INFO:Declaring metric variables
  26175. 2022-03-23 15:46:55,564:INFO:Importing untrained model
  26176. 2022-03-23 15:46:55,592:INFO:Extreme Gradient Boosting Imported succesfully
  26177. 2022-03-23 15:46:55,644:INFO:Starting cross validation
  26178. 2022-03-23 15:46:55,655:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  26179. 2022-03-23 15:52:46,281:INFO:PyCaret Supervised Module
  26180. 2022-03-23 15:52:46,281:INFO:ML Usecase: classification
  26181. 2022-03-23 15:52:46,281:INFO:version 2.2.3
  26182. 2022-03-23 15:52:46,281:INFO:Initializing setup()
  26183. 2022-03-23 15:52:46,281:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  26184. 2022-03-23 15:52:46,282:INFO:Checking environment
  26185. 2022-03-23 15:52:46,282:INFO:python_version: 3.9.7
  26186. 2022-03-23 15:52:46,282:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
  26187. 2022-03-23 15:52:46,282:INFO:machine: AMD64
  26188. 2022-03-23 15:52:46,282:INFO:platform: Windows-10-10.0.22000-SP0
  26189. 2022-03-23 15:52:46,282:INFO:Memory: svmem(total=34268372992, available=16321933312, percent=52.4, used=17946439680, free=16321933312)
  26190. 2022-03-23 15:52:46,282:INFO:Physical Core: 8
  26191. 2022-03-23 15:52:46,282:INFO:Logical Core: 16
  26192. 2022-03-23 15:52:46,282:INFO:Checking libraries
  26193. 2022-03-23 15:52:46,282:INFO:pd==1.3.4
  26194. 2022-03-23 15:52:46,282:INFO:numpy==1.20.3
  26195. 2022-03-23 15:52:46,282:INFO:sklearn==0.24.2
  26196. 2022-03-23 15:52:46,307:INFO:xgboost==1.5.2
  26197. 2022-03-23 15:52:46,307:INFO:lightgbm==3.3.2
  26198. 2022-03-23 15:52:46,412:INFO:catboost==1.0.4
  26199. 2022-03-23 15:52:47,045:INFO:mlflow==1.24.0
  26200. 2022-03-23 15:52:47,045:INFO:Checking Exceptions
  26201. 2022-03-23 15:52:47,047:INFO:Declaring global variables
  26202. 2022-03-23 15:52:47,047:INFO:USI: 50e9
  26203. 2022-03-23 15:52:47,047:INFO:pycaret_globals: {'y', 'experiment__', '_all_models_internal', '_available_plots', 'USI', 'fold_shuffle_param', 'stratify_param', '_ml_usecase', 'fold_generator', 'pycaret_globals', 'X_train', 'create_model_container', 'iterative_imputation_iters_param', 'display_container', 'n_jobs_param', 'logging_param', 'gpu_param', 'master_model_container', 'seed', 'exp_name_log', '_internal_pipeline', '_gpu_n_jobs_param', '_all_metrics', 'fold_param', 'data_before_preprocess', 'fold_groups_param', 'transform_target_param', 'X_test', 'imputation_regressor', 'y_train', 'fix_imbalance_method_param', 'prep_pipe', 'fix_imbalance_param', 'imputation_classifier', 'transform_target_method_param', 'target_param', 'X', '_all_models', 'html_param', 'y_test', 'log_plots_param'}
  26204. 2022-03-23 15:52:47,047:INFO:Preparing display monitor
  26205. 2022-03-23 15:52:47,047:INFO:Preparing display monitor
  26206. 2022-03-23 15:52:47,061:INFO:Importing libraries
  26207. 2022-03-23 15:52:47,061:INFO:Copying data for preprocessing
  26208. 2022-03-23 15:52:47,068:INFO:Declaring preprocessing parameters
  26209. 2022-03-23 15:52:47,069:WARNING:cuML not found
  26210. 2022-03-23 15:52:47,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.0.4
  26211. 2022-03-23 15:52:47,073:INFO:Creating preprocessing pipeline
  26212. 2022-03-23 15:52:47,125:INFO:Preprocessing pipeline created successfully
  26213. 2022-03-23 15:52:47,126:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  26214. 2022-03-23 15:52:47,126:INFO:Creating global containers
  26215. 2022-03-23 16:01:03,402:INFO:PyCaret Supervised Module
  26216. 2022-03-23 16:01:03,402:INFO:ML Usecase: classification
  26217. 2022-03-23 16:01:03,402:INFO:version 2.3.6
  26218. 2022-03-23 16:01:03,403:INFO:Initializing setup()
  26219. 2022-03-23 16:01:03,403:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  26220. 2022-03-23 16:01:03,403:INFO:Checking environment
  26221. 2022-03-23 16:01:03,403:INFO:python_version: 3.8.12
  26222. 2022-03-23 16:01:03,403:INFO:python_build: ('default', 'Oct 12 2021 03:01:40')
  26223. 2022-03-23 16:01:03,403:INFO:machine: AMD64
  26224. 2022-03-23 16:01:03,403:INFO:platform: Windows-10-10.0.22000-SP0
  26225. 2022-03-23 16:01:03,403:INFO:Memory: svmem(total=34268372992, available=16065380352, percent=53.1, used=18202992640, free=16065380352)
  26226. 2022-03-23 16:01:03,403:INFO:Physical Core: 8
  26227. 2022-03-23 16:01:03,403:INFO:Logical Core: 16
  26228. 2022-03-23 16:01:03,403:INFO:Checking libraries
  26229. 2022-03-23 16:01:03,403:INFO:pd==1.4.1
  26230. 2022-03-23 16:01:03,403:INFO:numpy==1.19.5
  26231. 2022-03-23 16:01:03,403:INFO:sklearn==0.23.2
  26232. 2022-03-23 16:01:03,403:INFO:lightgbm==3.3.2
  26233. 2022-03-23 16:01:03,404:WARNING:catboost not found
  26234. 2022-03-23 16:01:03,487:INFO:xgboost==1.5.2
  26235. 2022-03-23 16:01:03,961:INFO:mlflow==1.24.0
  26236. 2022-03-23 16:01:03,961:INFO:Checking Exceptions
  26237. 2022-03-23 16:01:03,961:INFO:Declaring global variables
  26238. 2022-03-23 16:01:03,961:INFO:USI: 717f
  26239. 2022-03-23 16:01:03,961:INFO:pycaret_globals: {'data_before_preprocess', 'master_model_container', 'pycaret_globals', 'X_train', 'transform_target_param', 'gpu_param', 'fold_generator', 'imputation_classifier', 'X_test', 'n_jobs_param', 'html_param', 'fold_shuffle_param', '_all_models', 'prep_pipe', 'USI', 'fix_imbalance_param', 'log_plots_param', '_available_plots', '_gpu_n_jobs_param', 'fold_groups_param', 'X', 'y_train', 'fold_groups_param_full', 'fix_imbalance_method_param', '_all_models_internal', 'fold_param', '_ml_usecase', 'experiment__', 'create_model_container', '_internal_pipeline', 'logging_param', 'y_test', 'target_param', 'y', 'imputation_regressor', '_all_metrics', 'display_container', 'stratify_param', 'seed', 'exp_name_log', 'iterative_imputation_iters_param', 'transform_target_method_param'}
  26240. 2022-03-23 16:01:03,961:INFO:Preparing display monitor
  26241. 2022-03-23 16:01:03,961:INFO:Preparing display monitor
  26242. 2022-03-23 16:01:03,975:INFO:Importing libraries
  26243. 2022-03-23 16:01:03,975:INFO:Copying data for preprocessing
  26244. 2022-03-23 16:01:03,982:INFO:Declaring preprocessing parameters
  26245. 2022-03-23 16:01:03,983:WARNING:cuML not found
  26246. 2022-03-23 16:01:03,983:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  26247. 2022-03-23 16:01:03,987:INFO:Creating preprocessing pipeline
  26248. 2022-03-23 16:01:04,068:INFO:Preprocessing pipeline created successfully
  26249. 2022-03-23 16:01:04,068:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  26250. 2022-03-23 16:01:04,068:INFO:Creating global containers
  26251. 2022-03-23 16:01:04,070:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  26252. 2022-03-23 16:01:06,529:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  26253. 2022-03-23 16:01:06,583:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  26254. 2022-03-23 16:01:06,585:WARNING:Couldn't import cuml.MBSGDClassifier
  26255. 2022-03-23 16:01:06,587:WARNING:Couldn't import cuml.svm.SVC
  26256. 2022-03-23 16:01:06,619:WARNING:Couldn't import cuml.linear_model
  26257. 2022-03-23 16:01:06,625:WARNING:Couldn't import cuml.ensemble
  26258. 2022-03-23 16:01:10,722:WARNING:Couldn't import catboost.CatBoostClassifier
  26259. 2022-03-23 16:01:10,723:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  26260. 2022-03-23 16:01:10,794:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  26261. 2022-03-23 16:01:10,795:WARNING:Couldn't import cuml.MBSGDClassifier
  26262. 2022-03-23 16:01:10,797:WARNING:Couldn't import cuml.svm.SVC
  26263. 2022-03-23 16:01:10,833:WARNING:Couldn't import cuml.linear_model
  26264. 2022-03-23 16:01:10,840:WARNING:Couldn't import cuml.ensemble
  26265. 2022-03-23 16:01:11,076:WARNING:Couldn't import catboost.CatBoostClassifier
  26266. 2022-03-23 16:01:11,077:INFO:Creating grid variables
  26267. 2022-03-23 16:01:11,092:INFO:create_model_container: 0
  26268. 2022-03-23 16:01:11,092:INFO:master_model_container: 0
  26269. 2022-03-23 16:01:11,092:INFO:display_container: 1
  26270. 2022-03-23 16:01:11,099:INFO:Pipeline(memory=None,
  26271. steps=[('dtypes',
  26272. DataTypes_Auto_infer(categorical_features=[],
  26273. display_types=True, features_todrop=[],
  26274. id_columns=[],
  26275. ml_usecase='classification',
  26276. numerical_features=[], target='label',
  26277. time_features=[])),
  26278. ('imputer',
  26279. Simple_Imputer(categorical_strategy='not_available',
  26280. fill_value_categorical=None,
  26281. fill_value_numerical=None,
  26282. numeric_strate...
  26283. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26284. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26285. ('cluster_all', 'passthrough'),
  26286. ('dummy', Dummify(target='label')),
  26287. ('fix_perfect', Remove_100(target='label')),
  26288. ('clean_names', Clean_Colum_Names()),
  26289. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26290. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26291. verbose=False)
  26292. 2022-03-23 16:01:11,099:INFO:setup() succesfully completed......................................
  26293. 2022-03-23 16:01:18,702:INFO:Initializing create_model()
  26294. 2022-03-23 16:01:18,702:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  26295. 2022-03-23 16:01:18,702:INFO:Checking exceptions
  26296. 2022-03-23 16:01:18,702:INFO:Preparing display monitor
  26297. 2022-03-23 16:01:18,717:INFO:Importing libraries
  26298. 2022-03-23 16:01:18,718:INFO:Copying training dataset
  26299. 2022-03-23 16:01:18,719:INFO:Defining folds
  26300. 2022-03-23 16:01:18,719:INFO:Declaring metric variables
  26301. 2022-03-23 16:01:18,727:INFO:Importing untrained model
  26302. 2022-03-23 16:01:18,734:INFO:Extreme Gradient Boosting Imported succesfully
  26303. 2022-03-23 16:01:18,747:INFO:Starting cross validation
  26304. 2022-03-23 16:01:18,748:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  26305. 2022-03-23 16:02:41,668:INFO:Calculating mean and std
  26306. 2022-03-23 16:02:41,669:INFO:Creating metrics dataframe
  26307. 2022-03-23 16:02:41,715:INFO:Finalizing model
  26308. 2022-03-23 16:02:43,127:INFO:Uploading results into container
  26309. 2022-03-23 16:02:43,127:INFO:Uploading model into container now
  26310. 2022-03-23 16:02:43,136:INFO:create_model_container: 1
  26311. 2022-03-23 16:02:43,136:INFO:master_model_container: 1
  26312. 2022-03-23 16:02:43,136:INFO:display_container: 2
  26313. 2022-03-23 16:02:43,138:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26314. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  26315. gamma=0, gpu_id=0, importance_type=None,
  26316. interaction_constraints='', learning_rate=0.300000012,
  26317. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  26318. missing=nan, monotone_constraints='()', n_estimators=100,
  26319. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  26320. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26321. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26322. use_label_encoder=True, validate_parameters=1, ...)
  26323. 2022-03-23 16:02:43,138:INFO:create_model() succesfully completed......................................
  26324. 2022-03-23 16:03:21,994:INFO:Initializing tune_model()
  26325. 2022-03-23 16:03:21,994:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26326. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  26327. gamma=0, gpu_id=0, importance_type=None,
  26328. interaction_constraints='', learning_rate=0.300000012,
  26329. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  26330. missing=nan, monotone_constraints='()', n_estimators=100,
  26331. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  26332. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26333. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26334. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'learning_rate': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  26335. 2022-03-23 16:03:21,994:INFO:Checking exceptions
  26336. 2022-03-23 16:03:21,995:INFO:Preparing display monitor
  26337. 2022-03-23 16:03:22,009:INFO:Copying training dataset
  26338. 2022-03-23 16:03:22,011:INFO:Checking base model
  26339. 2022-03-23 16:03:22,011:INFO:Base model : Extreme Gradient Boosting
  26340. 2022-03-23 16:03:22,019:INFO:Declaring metric variables
  26341. 2022-03-23 16:03:22,025:INFO:Defining Hyperparameters
  26342. 2022-03-23 16:03:22,132:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__learning_rate': [0.05, 0.005]}
  26343. 2022-03-23 16:03:22,132:INFO:Tuning with n_jobs=1
  26344. 2022-03-23 16:03:22,132:INFO:Initializing RandomizedSearchCV
  26345. 2022-03-23 16:17:03,953:INFO:best_params: {'actual_estimator__max_leaves': 4096, 'actual_estimator__max_depth': 64, 'actual_estimator__learning_rate': 0.05, 'actual_estimator__colsample_bytree': 0.4}
  26346. 2022-03-23 16:17:03,954:INFO:Hyperparameter search completed
  26347. 2022-03-23 16:17:03,954:INFO:SubProcess create_model() called ==================================
  26348. 2022-03-23 16:17:03,955:INFO:Initializing create_model()
  26349. 2022-03-23 16:17:03,955:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26350. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  26351. gamma=0, gpu_id=0, importance_type=None,
  26352. interaction_constraints='', learning_rate=0.300000012,
  26353. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  26354. missing=nan, monotone_constraints='()', n_estimators=100,
  26355. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  26356. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26357. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26358. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000023B072C7F40>, kwargs={'max_leaves': 4096, 'max_depth': 64, 'learning_rate': 0.05, 'colsample_bytree': 0.4})
  26359. 2022-03-23 16:17:03,956:INFO:Checking exceptions
  26360. 2022-03-23 16:17:03,956:INFO:Importing libraries
  26361. 2022-03-23 16:17:03,956:INFO:Copying training dataset
  26362. 2022-03-23 16:17:03,957:INFO:Defining folds
  26363. 2022-03-23 16:17:03,958:INFO:Declaring metric variables
  26364. 2022-03-23 16:17:03,966:INFO:Importing untrained model
  26365. 2022-03-23 16:17:03,966:INFO:Declaring custom model
  26366. 2022-03-23 16:17:03,975:INFO:Extreme Gradient Boosting Imported succesfully
  26367. 2022-03-23 16:17:03,989:INFO:Starting cross validation
  26368. 2022-03-23 16:17:03,991:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  26369. 2022-03-23 16:19:08,970:INFO:Calculating mean and std
  26370. 2022-03-23 16:19:08,971:INFO:Creating metrics dataframe
  26371. 2022-03-23 16:19:09,022:INFO:Finalizing model
  26372. 2022-03-23 16:19:22,216:INFO:Uploading results into container
  26373. 2022-03-23 16:19:22,216:INFO:Uploading model into container now
  26374. 2022-03-23 16:19:22,216:INFO:create_model_container: 2
  26375. 2022-03-23 16:19:22,217:INFO:master_model_container: 2
  26376. 2022-03-23 16:19:22,217:INFO:display_container: 3
  26377. 2022-03-23 16:19:22,218:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26378. colsample_bynode=1, colsample_bytree=0.4,
  26379. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  26380. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  26381. max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
  26382. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  26383. num_parallel_tree=1, objective='binary:logistic',
  26384. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26385. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26386. use_label_encoder=True, validate_parameters=1, ...)
  26387. 2022-03-23 16:19:22,218:INFO:create_model() succesfully completed......................................
  26388. 2022-03-23 16:19:22,312:INFO:SubProcess create_model() end ==================================
  26389. 2022-03-23 16:19:22,332:INFO:create_model_container: 2
  26390. 2022-03-23 16:19:22,332:INFO:master_model_container: 2
  26391. 2022-03-23 16:19:22,332:INFO:display_container: 3
  26392. 2022-03-23 16:19:22,334:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26393. colsample_bynode=1, colsample_bytree=0.4,
  26394. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  26395. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  26396. max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
  26397. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  26398. num_parallel_tree=1, objective='binary:logistic',
  26399. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26400. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26401. use_label_encoder=True, validate_parameters=1, ...)
  26402. 2022-03-23 16:19:22,334:INFO:tune_model() succesfully completed......................................
  26403. 2022-03-23 16:19:57,424:INFO:Initializing finalize_model()
  26404. 2022-03-23 16:19:57,424:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26405. colsample_bynode=1, colsample_bytree=0.4,
  26406. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  26407. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  26408. max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
  26409. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  26410. num_parallel_tree=1, objective='binary:logistic',
  26411. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26412. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26413. use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
  26414. 2022-03-23 16:19:57,426:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26415. colsample_bynode=1, colsample_bytree=0.4,
  26416. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  26417. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  26418. max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
  26419. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  26420. num_parallel_tree=1, objective='binary:logistic',
  26421. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26422. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26423. use_label_encoder=True, validate_parameters=1, ...)
  26424. 2022-03-23 16:19:57,427:INFO:Initializing create_model()
  26425. 2022-03-23 16:19:57,427:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26426. colsample_bynode=1, colsample_bytree=0.4,
  26427. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  26428. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  26429. max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
  26430. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  26431. num_parallel_tree=1, objective='binary:logistic',
  26432. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26433. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26434. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=False, probability_threshold=None, display=None, kwargs={})
  26435. 2022-03-23 16:19:57,427:INFO:Checking exceptions
  26436. 2022-03-23 16:19:57,427:INFO:Importing libraries
  26437. 2022-03-23 16:19:57,427:INFO:Copying training dataset
  26438. 2022-03-23 16:19:57,430:INFO:Defining folds
  26439. 2022-03-23 16:19:57,431:INFO:Declaring metric variables
  26440. 2022-03-23 16:19:57,431:INFO:Importing untrained model
  26441. 2022-03-23 16:19:57,431:INFO:Declaring custom model
  26442. 2022-03-23 16:19:57,433:INFO:Extreme Gradient Boosting Imported succesfully
  26443. 2022-03-23 16:19:57,433:INFO:Starting cross validation
  26444. 2022-03-23 16:19:57,434:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  26445. 2022-03-23 16:22:17,194:INFO:Calculating mean and std
  26446. 2022-03-23 16:22:17,194:INFO:Creating metrics dataframe
  26447. 2022-03-23 16:22:17,242:INFO:Finalizing model
  26448. 2022-03-23 16:22:33,152:INFO:create_model_container: 2
  26449. 2022-03-23 16:22:33,152:INFO:master_model_container: 2
  26450. 2022-03-23 16:22:33,152:INFO:display_container: 4
  26451. 2022-03-23 16:22:33,154:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26452. colsample_bynode=1, colsample_bytree=0.4,
  26453. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  26454. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  26455. max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
  26456. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  26457. num_parallel_tree=1, objective='binary:logistic',
  26458. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26459. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26460. use_label_encoder=True, validate_parameters=1, ...)
  26461. 2022-03-23 16:22:33,154:INFO:create_model() succesfully completed......................................
  26462. 2022-03-23 16:22:33,294:INFO:create_model_container: 2
  26463. 2022-03-23 16:22:33,295:INFO:master_model_container: 2
  26464. 2022-03-23 16:22:33,295:INFO:display_container: 3
  26465. 2022-03-23 16:22:33,296:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26466. colsample_bynode=1, colsample_bytree=0.4,
  26467. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  26468. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  26469. max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
  26470. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  26471. num_parallel_tree=1, objective='binary:logistic',
  26472. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26473. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26474. use_label_encoder=True, validate_parameters=1, ...)
  26475. 2022-03-23 16:22:33,296:INFO:finalize_model() succesfully completed......................................
  26476. 2022-03-23 16:22:33,402:INFO:Initializing save_model()
  26477. 2022-03-23 16:22:33,402:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  26478. colsample_bynode=1, colsample_bytree=0.4,
  26479. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  26480. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  26481. max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
  26482. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  26483. num_parallel_tree=1, objective='binary:logistic',
  26484. predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
  26485. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  26486. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_orifeature_0323, prep_pipe_=Pipeline(memory=None,
  26487. steps=[('dtypes',
  26488. DataTypes_Auto_infer(categorical_features=[],
  26489. display_types=True, features_todrop=[],
  26490. id_columns=[],
  26491. ml_usecase='classification',
  26492. numerical_features=[], target='label',
  26493. time_features=[])),
  26494. ('imputer',
  26495. Simple_Imputer(categorical_strategy='not_available',
  26496. fill_value_categorical=None,
  26497. fill_value_numerical=None,
  26498. numeric_strate...
  26499. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26500. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26501. ('cluster_all', 'passthrough'),
  26502. ('dummy', Dummify(target='label')),
  26503. ('fix_perfect', Remove_100(target='label')),
  26504. ('clean_names', Clean_Colum_Names()),
  26505. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26506. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26507. verbose=False), verbose=True, kwargs={})
  26508. 2022-03-23 16:22:33,402:INFO:Adding model into prep_pipe
  26509. 2022-03-23 16:22:33,628:INFO:tuned_xgboost_orifeature_0323.pkl saved in current working directory
  26510. 2022-03-23 16:22:33,639:INFO:Pipeline(memory=None,
  26511. steps=[('dtypes',
  26512. DataTypes_Auto_infer(categorical_features=[],
  26513. display_types=True, features_todrop=[],
  26514. id_columns=[],
  26515. ml_usecase='classification',
  26516. numerical_features=[], target='label',
  26517. time_features=[])),
  26518. ('imputer',
  26519. Simple_Imputer(categorical_strategy='not_available',
  26520. fill_value_categorical=None,
  26521. fill_value_numerical=None,
  26522. numeric_strate...
  26523. max_delta_step=0, max_depth=64, max_leaves=4096,
  26524. min_child_weight=1, missing=nan,
  26525. monotone_constraints='()', n_estimators=100,
  26526. n_jobs=-1, num_parallel_tree=1,
  26527. objective='binary:logistic', predictor='auto',
  26528. random_state=6597, reg_alpha=0, reg_lambda=1,
  26529. scale_pos_weight=1, subsample=1,
  26530. tree_method='gpu_hist', use_label_encoder=True,
  26531. validate_parameters=1, ...)]],
  26532. verbose=False)
  26533. 2022-03-23 16:22:33,640:INFO:save_model() successfully completed......................................
  26534. 2022-03-23 16:23:48,066:INFO:PyCaret Supervised Module
  26535. 2022-03-23 16:23:48,066:INFO:ML Usecase: classification
  26536. 2022-03-23 16:23:48,066:INFO:version 2.3.6
  26537. 2022-03-23 16:23:48,066:INFO:Initializing setup()
  26538. 2022-03-23 16:23:48,066:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  26539. 2022-03-23 16:23:48,066:INFO:Checking environment
  26540. 2022-03-23 16:23:48,066:INFO:python_version: 3.8.12
  26541. 2022-03-23 16:23:48,066:INFO:python_build: ('default', 'Oct 12 2021 03:01:40')
  26542. 2022-03-23 16:23:48,066:INFO:machine: AMD64
  26543. 2022-03-23 16:23:48,066:INFO:platform: Windows-10-10.0.22000-SP0
  26544. 2022-03-23 16:23:48,066:INFO:Memory: svmem(total=34268372992, available=17451642880, percent=49.1, used=16816730112, free=17451642880)
  26545. 2022-03-23 16:23:48,066:INFO:Physical Core: 8
  26546. 2022-03-23 16:23:48,066:INFO:Logical Core: 16
  26547. 2022-03-23 16:23:48,066:INFO:Checking libraries
  26548. 2022-03-23 16:23:48,066:INFO:pd==1.4.1
  26549. 2022-03-23 16:23:48,067:INFO:numpy==1.19.5
  26550. 2022-03-23 16:23:48,067:INFO:sklearn==0.23.2
  26551. 2022-03-23 16:23:48,067:INFO:lightgbm==3.3.2
  26552. 2022-03-23 16:23:48,068:WARNING:catboost not found
  26553. 2022-03-23 16:23:48,141:INFO:xgboost==1.5.2
  26554. 2022-03-23 16:23:48,531:INFO:mlflow==1.24.0
  26555. 2022-03-23 16:23:48,531:INFO:Checking Exceptions
  26556. 2022-03-23 16:23:48,532:INFO:Declaring global variables
  26557. 2022-03-23 16:23:48,532:INFO:USI: 0b4d
  26558. 2022-03-23 16:23:48,532:INFO:pycaret_globals: {'pycaret_globals', 'experiment__', 'fold_groups_param_full', 'y_test', 'exp_name_log', '_all_models_internal', 'n_jobs_param', '_ml_usecase', 'y_train', 'X_test', 'log_plots_param', 'imputation_classifier', 'html_param', 'fold_groups_param', 'y', 'create_model_container', 'USI', 'data_before_preprocess', 'seed', 'master_model_container', 'fix_imbalance_param', 'fold_generator', 'iterative_imputation_iters_param', 'transform_target_param', 'fix_imbalance_method_param', '_available_plots', 'logging_param', 'fold_param', 'X', '_internal_pipeline', 'display_container', 'stratify_param', 'imputation_regressor', 'X_train', 'transform_target_method_param', '_all_metrics', 'prep_pipe', '_all_models', 'gpu_param', 'target_param', 'fold_shuffle_param', '_gpu_n_jobs_param'}
  26559. 2022-03-23 16:23:48,532:INFO:Preparing display monitor
  26560. 2022-03-23 16:23:48,532:INFO:Preparing display monitor
  26561. 2022-03-23 16:23:48,546:INFO:Importing libraries
  26562. 2022-03-23 16:23:48,546:INFO:Copying data for preprocessing
  26563. 2022-03-23 16:23:48,554:INFO:Declaring preprocessing parameters
  26564. 2022-03-23 16:23:48,559:INFO:Creating preprocessing pipeline
  26565. 2022-03-23 16:23:48,633:INFO:Preprocessing pipeline created successfully
  26566. 2022-03-23 16:23:48,634:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  26567. 2022-03-23 16:23:48,634:INFO:Creating global containers
  26568. 2022-03-23 16:23:48,635:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  26569. 2022-03-23 16:23:51,882:WARNING:Couldn't import catboost.CatBoostClassifier
  26570. 2022-03-23 16:23:51,974:WARNING:Couldn't import catboost.CatBoostClassifier
  26571. 2022-03-23 16:23:51,976:INFO:Creating grid variables
  26572. 2022-03-23 16:23:51,987:INFO:create_model_container: 0
  26573. 2022-03-23 16:23:51,987:INFO:master_model_container: 0
  26574. 2022-03-23 16:23:51,988:INFO:display_container: 1
  26575. 2022-03-23 16:23:51,992:INFO:Pipeline(memory=None,
  26576. steps=[('dtypes',
  26577. DataTypes_Auto_infer(categorical_features=[],
  26578. display_types=True, features_todrop=[],
  26579. id_columns=[],
  26580. ml_usecase='classification',
  26581. numerical_features=[], target='label',
  26582. time_features=[])),
  26583. ('imputer',
  26584. Simple_Imputer(categorical_strategy='not_available',
  26585. fill_value_categorical=None,
  26586. fill_value_numerical=None,
  26587. numeric_strate...
  26588. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26589. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26590. ('cluster_all', 'passthrough'),
  26591. ('dummy', Dummify(target='label')),
  26592. ('fix_perfect', Remove_100(target='label')),
  26593. ('clean_names', Clean_Colum_Names()),
  26594. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26595. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26596. verbose=False)
  26597. 2022-03-23 16:23:51,992:INFO:setup() succesfully completed......................................
  26598. 2022-03-23 16:23:56,900:INFO:Initializing load_model()
  26599. 2022-03-23 16:23:56,901:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  26600. 2022-03-23 16:24:02,426:INFO:Initializing predict_model()
  26601. 2022-03-23 16:24:02,426:INFO:predict_model(estimator=Pipeline(memory=None,
  26602. steps=[('dtypes',
  26603. DataTypes_Auto_infer(categorical_features=[],
  26604. display_types=True, features_todrop=[],
  26605. id_columns=[],
  26606. ml_usecase='classification',
  26607. numerical_features=[], target='label',
  26608. time_features=[])),
  26609. ('imputer',
  26610. Simple_Imputer(categorical_strategy='not_available',
  26611. fill_value_categorical=None,
  26612. fill_value_numerical=None,
  26613. numeric_strate...
  26614. max_delta_step=0, max_depth=64, max_leaves=4096,
  26615. min_child_weight=1, missing=nan,
  26616. monotone_constraints='()', n_estimators=100,
  26617. n_jobs=-1, num_parallel_tree=1,
  26618. objective='binary:logistic', predictor='auto',
  26619. random_state=6597, reg_alpha=0, reg_lambda=1,
  26620. scale_pos_weight=1, subsample=1,
  26621. tree_method='gpu_hist', use_label_encoder=True,
  26622. validate_parameters=1, ...)]],
  26623. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  26624. 2022-03-23 16:24:02,427:INFO:Checking exceptions
  26625. 2022-03-23 16:24:02,427:INFO:Preloading libraries
  26626. 2022-03-23 16:24:02,427:INFO:Preparing display monitor
  26627. 2022-03-23 16:24:14,756:INFO:Initializing get_config()
  26628. 2022-03-23 16:24:14,756:INFO:get_config(variable=prep_pipe)
  26629. 2022-03-23 16:24:14,760:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  26630. steps=[('dtypes',
  26631. DataTypes_Auto_infer(categorical_features=[],
  26632. display_types=True, features_todrop=[],
  26633. id_columns=[],
  26634. ml_usecase='classification',
  26635. numerical_features=[], target='label',
  26636. time_features=[])),
  26637. ('imputer',
  26638. Simple_Imputer(categorical_strategy='not_available',
  26639. fill_value_categorical=None,
  26640. fill_value_numerical=None,
  26641. numeric_strate...
  26642. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26643. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26644. ('cluster_all', 'passthrough'),
  26645. ('dummy', Dummify(target='label')),
  26646. ('fix_perfect', Remove_100(target='label')),
  26647. ('clean_names', Clean_Colum_Names()),
  26648. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26649. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26650. verbose=False)
  26651. 2022-03-23 16:24:14,760:INFO:get_config() succesfully completed......................................
  26652. 2022-03-23 16:24:14,760:INFO:Initializing get_config()
  26653. 2022-03-23 16:24:14,760:INFO:get_config(variable=data_before_preprocess)
  26654. 2022-03-23 16:24:14,766:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  26655. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  26656. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  26657. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  26658. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  26659. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  26660. ... ... ... ... ... ... ... ... ... ... ...
  26661. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  26662. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  26663. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  26664. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  26665. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  26666. minute
  26667. 0 0
  26668. 1 1
  26669. 2 2
  26670. 3 3
  26671. 4 4
  26672. ... ...
  26673. 64795 55
  26674. 64796 56
  26675. 64797 57
  26676. 64798 58
  26677. 64799 59
  26678. [64800 rows x 11 columns]
  26679. 2022-03-23 16:24:14,767:INFO:get_config() succesfully completed......................................
  26680. 2022-03-23 16:24:14,770:INFO:Initializing get_config()
  26681. 2022-03-23 16:24:14,770:INFO:get_config(variable=prep_pipe)
  26682. 2022-03-23 16:24:14,774:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  26683. steps=[('dtypes',
  26684. DataTypes_Auto_infer(categorical_features=[],
  26685. display_types=True, features_todrop=[],
  26686. id_columns=[],
  26687. ml_usecase='classification',
  26688. numerical_features=[], target='label',
  26689. time_features=[])),
  26690. ('imputer',
  26691. Simple_Imputer(categorical_strategy='not_available',
  26692. fill_value_categorical=None,
  26693. fill_value_numerical=None,
  26694. numeric_strate...
  26695. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26696. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26697. ('cluster_all', 'passthrough'),
  26698. ('dummy', Dummify(target='label')),
  26699. ('fix_perfect', Remove_100(target='label')),
  26700. ('clean_names', Clean_Colum_Names()),
  26701. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26702. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26703. verbose=False)
  26704. 2022-03-23 16:24:14,774:INFO:get_config() succesfully completed......................................
  26705. 2022-03-23 16:24:14,789:INFO:Initializing save_model()
  26706. 2022-03-23 16:24:14,789:INFO:save_model(model=Pipeline(memory=None,
  26707. steps=[('dtypes',
  26708. DataTypes_Auto_infer(categorical_features=[],
  26709. display_types=True, features_todrop=[],
  26710. id_columns=[],
  26711. ml_usecase='classification',
  26712. numerical_features=[], target='label',
  26713. time_features=[])),
  26714. ('imputer',
  26715. Simple_Imputer(categorical_strategy='not_available',
  26716. fill_value_categorical=None,
  26717. fill_value_numerical=None,
  26718. numeric_strate...
  26719. max_delta_step=0, max_depth=64, max_leaves=4096,
  26720. min_child_weight=1, missing=nan,
  26721. monotone_constraints='()', n_estimators=100,
  26722. n_jobs=-1, num_parallel_tree=1,
  26723. objective='binary:logistic', predictor='auto',
  26724. random_state=6597, reg_alpha=0, reg_lambda=1,
  26725. scale_pos_weight=1, subsample=1,
  26726. tree_method='gpu_hist', use_label_encoder=True,
  26727. validate_parameters=1, ...)]],
  26728. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  26729. steps=[('dtypes',
  26730. DataTypes_Auto_infer(categorical_features=[],
  26731. display_types=True, features_todrop=[],
  26732. id_columns=[],
  26733. ml_usecase='classification',
  26734. numerical_features=[], target='label',
  26735. time_features=[])),
  26736. ('imputer',
  26737. Simple_Imputer(categorical_strategy='not_available',
  26738. fill_value_categorical=None,
  26739. fill_value_numerical=None,
  26740. numeric_strate...
  26741. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26742. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26743. ('cluster_all', 'passthrough'),
  26744. ('dummy', Dummify(target='label')),
  26745. ('fix_perfect', Remove_100(target='label')),
  26746. ('clean_names', Clean_Colum_Names()),
  26747. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26748. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26749. verbose=False), verbose=False, kwargs={})
  26750. 2022-03-23 16:24:14,789:INFO:Adding model into prep_pipe
  26751. 2022-03-23 16:24:15,182:WARNING:Only Model saved as it was a pipeline.
  26752. 2022-03-23 16:24:15,424:INFO:my_api.pkl saved in current working directory
  26753. 2022-03-23 16:24:15,437:INFO:Pipeline(memory=None,
  26754. steps=[('dtypes',
  26755. DataTypes_Auto_infer(categorical_features=[],
  26756. display_types=True, features_todrop=[],
  26757. id_columns=[],
  26758. ml_usecase='classification',
  26759. numerical_features=[], target='label',
  26760. time_features=[])),
  26761. ('imputer',
  26762. Simple_Imputer(categorical_strategy='not_available',
  26763. fill_value_categorical=None,
  26764. fill_value_numerical=None,
  26765. numeric_strate...
  26766. max_delta_step=0, max_depth=64, max_leaves=4096,
  26767. min_child_weight=1, missing=nan,
  26768. monotone_constraints='()', n_estimators=100,
  26769. n_jobs=-1, num_parallel_tree=1,
  26770. objective='binary:logistic', predictor='auto',
  26771. random_state=6597, reg_alpha=0, reg_lambda=1,
  26772. scale_pos_weight=1, subsample=1,
  26773. tree_method='gpu_hist', use_label_encoder=True,
  26774. validate_parameters=1, ...)]],
  26775. verbose=False)
  26776. 2022-03-23 16:24:15,437:INFO:save_model() successfully completed......................................
  26777. 2022-03-23 16:25:36,841:INFO:Initializing load_model()
  26778. 2022-03-23 16:25:36,841:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  26779. 2022-03-28 13:54:05,839:INFO:PyCaret Supervised Module
  26780. 2022-03-28 13:54:05,840:INFO:ML Usecase: classification
  26781. 2022-03-28 13:54:05,840:INFO:version 2.3.6
  26782. 2022-03-28 13:54:05,840:INFO:Initializing setup()
  26783. 2022-03-28 13:54:05,841:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  26784. 2022-03-28 13:54:05,841:INFO:Checking environment
  26785. 2022-03-28 13:54:05,841:INFO:python_version: 3.8.12
  26786. 2022-03-28 13:54:05,842:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
  26787. 2022-03-28 13:54:05,842:INFO:machine: x86_64
  26788. 2022-03-28 13:54:05,842:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
  26789. 2022-03-28 13:54:05,844:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
  26790. 2022-03-28 13:54:05,844:INFO:Checking libraries
  26791. 2022-03-28 13:54:05,844:INFO:pd==1.3.5
  26792. 2022-03-28 13:54:05,845:INFO:numpy==1.21.2
  26793. 2022-03-28 13:54:05,845:INFO:sklearn==0.23.2
  26794. 2022-03-28 13:54:05,846:INFO:lightgbm==3.3.2
  26795. 2022-03-28 13:54:05,847:WARNING:catboost not found
  26796. 2022-03-28 13:54:06,066:INFO:xgboost==1.5.2
  26797. 2022-03-28 13:54:07,051:INFO:mlflow==1.24.0
  26798. 2022-03-28 13:54:07,054:INFO:Checking Exceptions
  26799. 2022-03-28 13:54:07,060:INFO:Declaring global variables
  26800. 2022-03-28 13:54:07,061:INFO:USI: 4e71
  26801. 2022-03-28 13:54:07,062:INFO:pycaret_globals: {'master_model_container', 'html_param', 'logging_param', '_all_models_internal', 'exp_name_log', '_all_metrics', 'imputation_classifier', 'fold_groups_param', '_ml_usecase', 'target_param', 'experiment__', '_available_plots', 'transform_target_method_param', 'log_plots_param', 'X_test', 'data_before_preprocess', 'display_container', 'n_jobs_param', 'y', 'fold_shuffle_param', 'fix_imbalance_param', 'fold_param', '_internal_pipeline', 'fix_imbalance_method_param', 'imputation_regressor', 'fold_groups_param_full', 'X', '_gpu_n_jobs_param', 'gpu_param', 'iterative_imputation_iters_param', 'pycaret_globals', 'transform_target_param', 'seed', 'y_train', 'fold_generator', 'prep_pipe', 'y_test', 'create_model_container', 'stratify_param', 'X_train', '_all_models', 'USI'}
  26802. 2022-03-28 13:54:07,062:INFO:Preparing display monitor
  26803. 2022-03-28 13:54:07,063:INFO:Preparing display monitor
  26804. 2022-03-28 13:54:07,107:INFO:Importing libraries
  26805. 2022-03-28 13:54:07,108:INFO:Copying data for preprocessing
  26806. 2022-03-28 13:54:07,134:INFO:Declaring preprocessing parameters
  26807. 2022-03-28 13:54:07,156:INFO:Creating preprocessing pipeline
  26808. 2022-03-28 13:54:07,313:INFO:Preprocessing pipeline created successfully
  26809. 2022-03-28 13:54:07,313:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  26810. 2022-03-28 13:54:07,314:INFO:Creating global containers
  26811. 2022-03-28 13:54:07,317:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  26812. 2022-03-28 13:54:10,242:WARNING:Couldn't import catboost.CatBoostClassifier
  26813. 2022-03-28 13:54:10,415:WARNING:Couldn't import catboost.CatBoostClassifier
  26814. 2022-03-28 13:54:10,416:INFO:Creating grid variables
  26815. 2022-03-28 13:54:10,452:INFO:create_model_container: 0
  26816. 2022-03-28 13:54:10,453:INFO:master_model_container: 0
  26817. 2022-03-28 13:54:10,453:INFO:display_container: 1
  26818. 2022-03-28 13:54:10,459:INFO:Pipeline(memory=None,
  26819. steps=[('dtypes',
  26820. DataTypes_Auto_infer(categorical_features=[],
  26821. display_types=True, features_todrop=[],
  26822. id_columns=[],
  26823. ml_usecase='classification',
  26824. numerical_features=[], target='label',
  26825. time_features=[])),
  26826. ('imputer',
  26827. Simple_Imputer(categorical_strategy='not_available',
  26828. fill_value_categorical=None,
  26829. fill_value_numerical=None,
  26830. numeric_strate...
  26831. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26832. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26833. ('cluster_all', 'passthrough'),
  26834. ('dummy', Dummify(target='label')),
  26835. ('fix_perfect', Remove_100(target='label')),
  26836. ('clean_names', Clean_Colum_Names()),
  26837. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26838. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26839. verbose=False)
  26840. 2022-03-28 13:54:10,460:INFO:setup() succesfully completed......................................
  26841. 2022-03-28 13:54:15,808:INFO:Initializing load_model()
  26842. 2022-03-28 13:54:15,809:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  26843. 2022-03-28 13:56:52,507:INFO:PyCaret Supervised Module
  26844. 2022-03-28 13:56:52,507:INFO:ML Usecase: classification
  26845. 2022-03-28 13:56:52,507:INFO:version 2.3.6
  26846. 2022-03-28 13:56:52,507:INFO:Initializing setup()
  26847. 2022-03-28 13:56:52,507:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  26848. 2022-03-28 13:56:52,507:INFO:Checking environment
  26849. 2022-03-28 13:56:52,507:INFO:python_version: 3.8.12
  26850. 2022-03-28 13:56:52,508:INFO:python_build: ('default', 'Oct 12 2021 03:01:40')
  26851. 2022-03-28 13:56:52,508:INFO:machine: AMD64
  26852. 2022-03-28 13:56:52,508:INFO:platform: Windows-10-10.0.22000-SP0
  26853. 2022-03-28 13:56:52,508:INFO:Memory: svmem(total=34268372992, available=9714499584, percent=71.7, used=24553873408, free=9714499584)
  26854. 2022-03-28 13:56:52,508:INFO:Physical Core: 8
  26855. 2022-03-28 13:56:52,508:INFO:Logical Core: 16
  26856. 2022-03-28 13:56:52,508:INFO:Checking libraries
  26857. 2022-03-28 13:56:52,508:INFO:pd==1.4.1
  26858. 2022-03-28 13:56:52,508:INFO:numpy==1.19.5
  26859. 2022-03-28 13:56:52,508:INFO:sklearn==0.23.2
  26860. 2022-03-28 13:56:52,508:INFO:lightgbm==3.3.2
  26861. 2022-03-28 13:56:52,510:WARNING:catboost not found
  26862. 2022-03-28 13:56:52,642:INFO:xgboost==1.5.2
  26863. 2022-03-28 13:56:53,368:INFO:mlflow==1.24.0
  26864. 2022-03-28 13:56:53,369:INFO:Checking Exceptions
  26865. 2022-03-28 13:56:53,371:INFO:Declaring global variables
  26866. 2022-03-28 13:56:53,371:INFO:USI: 3bff
  26867. 2022-03-28 13:56:53,371:INFO:pycaret_globals: {'fold_generator', 'pycaret_globals', 'y', 'transform_target_param', 'exp_name_log', 'USI', 'display_container', 'fix_imbalance_method_param', 'X_test', 'gpu_param', 'fold_groups_param_full', 'fold_param', 'y_test', 'seed', 'prep_pipe', 'y_train', '_gpu_n_jobs_param', '_all_models_internal', 'master_model_container', 'iterative_imputation_iters_param', 'target_param', '_available_plots', '_ml_usecase', '_internal_pipeline', '_all_metrics', 'fix_imbalance_param', 'create_model_container', 'experiment__', 'logging_param', 'imputation_regressor', 'fold_shuffle_param', 'data_before_preprocess', 'fold_groups_param', 'n_jobs_param', 'html_param', 'imputation_classifier', 'X_train', 'X', '_all_models', 'log_plots_param', 'stratify_param', 'transform_target_method_param'}
  26868. 2022-03-28 13:56:53,371:INFO:Preparing display monitor
  26869. 2022-03-28 13:56:53,371:INFO:Preparing display monitor
  26870. 2022-03-28 13:56:53,390:INFO:Importing libraries
  26871. 2022-03-28 13:56:53,391:INFO:Copying data for preprocessing
  26872. 2022-03-28 13:56:53,400:INFO:Declaring preprocessing parameters
  26873. 2022-03-28 13:56:53,404:INFO:Creating preprocessing pipeline
  26874. 2022-03-28 13:56:53,502:INFO:Preprocessing pipeline created successfully
  26875. 2022-03-28 13:56:53,502:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  26876. 2022-03-28 13:56:53,502:INFO:Creating global containers
  26877. 2022-03-28 13:56:53,504:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  26878. 2022-03-28 13:56:56,819:WARNING:Couldn't import catboost.CatBoostClassifier
  26879. 2022-03-28 13:56:56,935:WARNING:Couldn't import catboost.CatBoostClassifier
  26880. 2022-03-28 13:56:56,938:INFO:Creating grid variables
  26881. 2022-03-28 13:56:56,954:INFO:create_model_container: 0
  26882. 2022-03-28 13:56:56,954:INFO:master_model_container: 0
  26883. 2022-03-28 13:56:56,954:INFO:display_container: 1
  26884. 2022-03-28 13:56:56,961:INFO:Pipeline(memory=None,
  26885. steps=[('dtypes',
  26886. DataTypes_Auto_infer(categorical_features=[],
  26887. display_types=True, features_todrop=[],
  26888. id_columns=[],
  26889. ml_usecase='classification',
  26890. numerical_features=[], target='label',
  26891. time_features=[])),
  26892. ('imputer',
  26893. Simple_Imputer(categorical_strategy='not_available',
  26894. fill_value_categorical=None,
  26895. fill_value_numerical=None,
  26896. numeric_strate...
  26897. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26898. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26899. ('cluster_all', 'passthrough'),
  26900. ('dummy', Dummify(target='label')),
  26901. ('fix_perfect', Remove_100(target='label')),
  26902. ('clean_names', Clean_Colum_Names()),
  26903. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26904. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26905. verbose=False)
  26906. 2022-03-28 13:56:56,961:INFO:setup() succesfully completed......................................
  26907. 2022-03-28 13:56:59,877:INFO:Initializing load_model()
  26908. 2022-03-28 13:56:59,878:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  26909. 2022-03-28 14:01:21,203:INFO:PyCaret Supervised Module
  26910. 2022-03-28 14:01:21,203:INFO:ML Usecase: classification
  26911. 2022-03-28 14:01:21,205:INFO:version 2.3.6
  26912. 2022-03-28 14:01:21,205:INFO:Initializing setup()
  26913. 2022-03-28 14:01:21,205:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  26914. 2022-03-28 14:01:21,206:INFO:Checking environment
  26915. 2022-03-28 14:01:21,206:INFO:python_version: 3.8.12
  26916. 2022-03-28 14:01:21,206:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
  26917. 2022-03-28 14:01:21,207:INFO:machine: x86_64
  26918. 2022-03-28 14:01:21,207:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
  26919. 2022-03-28 14:01:21,208:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
  26920. 2022-03-28 14:01:21,208:INFO:Checking libraries
  26921. 2022-03-28 14:01:21,208:INFO:pd==1.4.0
  26922. 2022-03-28 14:01:21,209:INFO:numpy==1.21.2
  26923. 2022-03-28 14:01:21,209:INFO:sklearn==0.23.2
  26924. 2022-03-28 14:01:21,209:INFO:lightgbm==3.3.2
  26925. 2022-03-28 14:01:21,210:WARNING:catboost not found
  26926. 2022-03-28 14:01:21,261:INFO:xgboost==1.5.2
  26927. 2022-03-28 14:01:21,494:INFO:mlflow==1.24.0
  26928. 2022-03-28 14:01:21,496:INFO:Checking Exceptions
  26929. 2022-03-28 14:01:21,496:INFO:Declaring global variables
  26930. 2022-03-28 14:01:21,496:INFO:USI: 9b12
  26931. 2022-03-28 14:01:21,497:INFO:pycaret_globals: {'gpu_param', 'fold_groups_param', 'pycaret_globals', 'iterative_imputation_iters_param', 'fold_shuffle_param', 'X_test', '_all_models', 'experiment__', 'target_param', '_all_metrics', 'logging_param', 'create_model_container', '_gpu_n_jobs_param', '_ml_usecase', 'y_test', 'transform_target_param', 'n_jobs_param', 'fold_groups_param_full', 'y_train', 'imputation_classifier', 'stratify_param', 'data_before_preprocess', 'fold_generator', 'exp_name_log', '_internal_pipeline', 'USI', 'prep_pipe', 'X_train', 'log_plots_param', 'y', '_all_models_internal', 'fix_imbalance_method_param', 'fix_imbalance_param', 'X', '_available_plots', 'html_param', 'master_model_container', 'display_container', 'seed', 'imputation_regressor', 'transform_target_method_param', 'fold_param'}
  26932. 2022-03-28 14:01:21,497:INFO:Preparing display monitor
  26933. 2022-03-28 14:01:21,497:INFO:Preparing display monitor
  26934. 2022-03-28 14:01:21,513:INFO:Importing libraries
  26935. 2022-03-28 14:01:21,514:INFO:Copying data for preprocessing
  26936. 2022-03-28 14:01:21,523:INFO:Declaring preprocessing parameters
  26937. 2022-03-28 14:01:21,530:INFO:Creating preprocessing pipeline
  26938. 2022-03-28 14:01:21,598:INFO:Preprocessing pipeline created successfully
  26939. 2022-03-28 14:01:21,598:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  26940. 2022-03-28 14:01:21,599:INFO:Creating global containers
  26941. 2022-03-28 14:01:21,600:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  26942. 2022-03-28 14:01:23,810:WARNING:Couldn't import catboost.CatBoostClassifier
  26943. 2022-03-28 14:01:23,909:WARNING:Couldn't import catboost.CatBoostClassifier
  26944. 2022-03-28 14:01:23,910:INFO:Creating grid variables
  26945. 2022-03-28 14:01:23,924:INFO:create_model_container: 0
  26946. 2022-03-28 14:01:23,925:INFO:master_model_container: 0
  26947. 2022-03-28 14:01:23,925:INFO:display_container: 1
  26948. 2022-03-28 14:01:23,930:INFO:Pipeline(memory=None,
  26949. steps=[('dtypes',
  26950. DataTypes_Auto_infer(categorical_features=[],
  26951. display_types=True, features_todrop=[],
  26952. id_columns=[],
  26953. ml_usecase='classification',
  26954. numerical_features=[], target='label',
  26955. time_features=[])),
  26956. ('imputer',
  26957. Simple_Imputer(categorical_strategy='not_available',
  26958. fill_value_categorical=None,
  26959. fill_value_numerical=None,
  26960. numeric_strate...
  26961. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  26962. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  26963. ('cluster_all', 'passthrough'),
  26964. ('dummy', Dummify(target='label')),
  26965. ('fix_perfect', Remove_100(target='label')),
  26966. ('clean_names', Clean_Colum_Names()),
  26967. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  26968. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  26969. verbose=False)
  26970. 2022-03-28 14:01:23,930:INFO:setup() succesfully completed......................................
  26971. 2022-03-28 14:01:26,642:INFO:Initializing load_model()
  26972. 2022-03-28 14:01:26,643:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  26973. 2022-03-28 14:01:29,815:INFO:Initializing predict_model()
  26974. 2022-03-28 14:01:29,816:INFO:predict_model(estimator=Pipeline(memory=None,
  26975. steps=[('dtypes',
  26976. DataTypes_Auto_infer(categorical_features=[],
  26977. display_types=True, features_todrop=[],
  26978. id_columns=[],
  26979. ml_usecase='classification',
  26980. numerical_features=[], target='label',
  26981. time_features=[])),
  26982. ('imputer',
  26983. Simple_Imputer(categorical_strategy='not_available',
  26984. fill_value_categorical=None,
  26985. fill_value_numerical=None,
  26986. numeric_strate...
  26987. max_delta_step=0, max_depth=64, max_leaves=4096,
  26988. min_child_weight=1, missing=nan,
  26989. monotone_constraints='()', n_estimators=100,
  26990. n_jobs=-1, num_parallel_tree=1,
  26991. objective='binary:logistic', predictor='auto',
  26992. random_state=6597, reg_alpha=0, reg_lambda=1,
  26993. scale_pos_weight=1, subsample=1,
  26994. tree_method='gpu_hist', use_label_encoder=True,
  26995. validate_parameters=1, ...)]],
  26996. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  26997. 2022-03-28 14:01:29,816:INFO:Checking exceptions
  26998. 2022-03-28 14:01:29,816:INFO:Preloading libraries
  26999. 2022-03-28 14:01:29,817:INFO:Preparing display monitor
  27000. 2022-03-28 14:01:38,513:INFO:Initializing get_config()
  27001. 2022-03-28 14:01:38,514:INFO:get_config(variable=prep_pipe)
  27002. 2022-03-28 14:01:38,519:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  27003. steps=[('dtypes',
  27004. DataTypes_Auto_infer(categorical_features=[],
  27005. display_types=True, features_todrop=[],
  27006. id_columns=[],
  27007. ml_usecase='classification',
  27008. numerical_features=[], target='label',
  27009. time_features=[])),
  27010. ('imputer',
  27011. Simple_Imputer(categorical_strategy='not_available',
  27012. fill_value_categorical=None,
  27013. fill_value_numerical=None,
  27014. numeric_strate...
  27015. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  27016. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  27017. ('cluster_all', 'passthrough'),
  27018. ('dummy', Dummify(target='label')),
  27019. ('fix_perfect', Remove_100(target='label')),
  27020. ('clean_names', Clean_Colum_Names()),
  27021. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  27022. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  27023. verbose=False)
  27024. 2022-03-28 14:01:38,520:INFO:get_config() succesfully completed......................................
  27025. 2022-03-28 14:01:38,520:INFO:Initializing get_config()
  27026. 2022-03-28 14:01:38,520:INFO:get_config(variable=data_before_preprocess)
  27027. 2022-03-28 14:01:38,527:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  27028. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27029. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27030. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27031. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27032. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27033. ... ... ... ... ... ... ... ... ... ... ...
  27034. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27035. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27036. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27037. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27038. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27039. minute
  27040. 0 0
  27041. 1 1
  27042. 2 2
  27043. 3 3
  27044. 4 4
  27045. ... ...
  27046. 64795 55
  27047. 64796 56
  27048. 64797 57
  27049. 64798 58
  27050. 64799 59
  27051. [64800 rows x 11 columns]
  27052. 2022-03-28 14:01:38,527:INFO:get_config() succesfully completed......................................
  27053. 2022-03-28 14:01:38,530:INFO:Initializing get_config()
  27054. 2022-03-28 14:01:38,531:INFO:get_config(variable=prep_pipe)
  27055. 2022-03-28 14:01:38,536:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  27056. steps=[('dtypes',
  27057. DataTypes_Auto_infer(categorical_features=[],
  27058. display_types=True, features_todrop=[],
  27059. id_columns=[],
  27060. ml_usecase='classification',
  27061. numerical_features=[], target='label',
  27062. time_features=[])),
  27063. ('imputer',
  27064. Simple_Imputer(categorical_strategy='not_available',
  27065. fill_value_categorical=None,
  27066. fill_value_numerical=None,
  27067. numeric_strate...
  27068. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  27069. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  27070. ('cluster_all', 'passthrough'),
  27071. ('dummy', Dummify(target='label')),
  27072. ('fix_perfect', Remove_100(target='label')),
  27073. ('clean_names', Clean_Colum_Names()),
  27074. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  27075. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  27076. verbose=False)
  27077. 2022-03-28 14:01:38,536:INFO:get_config() succesfully completed......................................
  27078. 2022-03-28 14:01:38,554:INFO:Initializing save_model()
  27079. 2022-03-28 14:01:38,555:INFO:save_model(model=Pipeline(memory=None,
  27080. steps=[('dtypes',
  27081. DataTypes_Auto_infer(categorical_features=[],
  27082. display_types=True, features_todrop=[],
  27083. id_columns=[],
  27084. ml_usecase='classification',
  27085. numerical_features=[], target='label',
  27086. time_features=[])),
  27087. ('imputer',
  27088. Simple_Imputer(categorical_strategy='not_available',
  27089. fill_value_categorical=None,
  27090. fill_value_numerical=None,
  27091. numeric_strate...
  27092. max_delta_step=0, max_depth=64, max_leaves=4096,
  27093. min_child_weight=1, missing=nan,
  27094. monotone_constraints='()', n_estimators=100,
  27095. n_jobs=-1, num_parallel_tree=1,
  27096. objective='binary:logistic', predictor='auto',
  27097. random_state=6597, reg_alpha=0, reg_lambda=1,
  27098. scale_pos_weight=1, subsample=1,
  27099. tree_method='gpu_hist', use_label_encoder=True,
  27100. validate_parameters=1, ...)]],
  27101. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  27102. steps=[('dtypes',
  27103. DataTypes_Auto_infer(categorical_features=[],
  27104. display_types=True, features_todrop=[],
  27105. id_columns=[],
  27106. ml_usecase='classification',
  27107. numerical_features=[], target='label',
  27108. time_features=[])),
  27109. ('imputer',
  27110. Simple_Imputer(categorical_strategy='not_available',
  27111. fill_value_categorical=None,
  27112. fill_value_numerical=None,
  27113. numeric_strate...
  27114. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  27115. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  27116. ('cluster_all', 'passthrough'),
  27117. ('dummy', Dummify(target='label')),
  27118. ('fix_perfect', Remove_100(target='label')),
  27119. ('clean_names', Clean_Colum_Names()),
  27120. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  27121. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  27122. verbose=False), verbose=False, kwargs={})
  27123. 2022-03-28 14:01:38,555:INFO:Adding model into prep_pipe
  27124. 2022-03-28 14:01:38,891:WARNING:Only Model saved as it was a pipeline.
  27125. 2022-03-28 14:01:39,081:INFO:my_api.pkl saved in current working directory
  27126. 2022-03-28 14:01:39,095:INFO:Pipeline(memory=None,
  27127. steps=[('dtypes',
  27128. DataTypes_Auto_infer(categorical_features=[],
  27129. display_types=True, features_todrop=[],
  27130. id_columns=[],
  27131. ml_usecase='classification',
  27132. numerical_features=[], target='label',
  27133. time_features=[])),
  27134. ('imputer',
  27135. Simple_Imputer(categorical_strategy='not_available',
  27136. fill_value_categorical=None,
  27137. fill_value_numerical=None,
  27138. numeric_strate...
  27139. max_delta_step=0, max_depth=64, max_leaves=4096,
  27140. min_child_weight=1, missing=nan,
  27141. monotone_constraints='()', n_estimators=100,
  27142. n_jobs=-1, num_parallel_tree=1,
  27143. objective='binary:logistic', predictor='auto',
  27144. random_state=6597, reg_alpha=0, reg_lambda=1,
  27145. scale_pos_weight=1, subsample=1,
  27146. tree_method='gpu_hist', use_label_encoder=True,
  27147. validate_parameters=1, ...)]],
  27148. verbose=False)
  27149. 2022-03-28 14:01:39,095:INFO:save_model() successfully completed......................................
  27150. 2022-03-28 14:02:17,486:INFO:Initializing load_model()
  27151. 2022-03-28 14:02:17,486:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27152. 2022-03-28 14:04:12,024:INFO:Initializing load_model()
  27153. 2022-03-28 14:04:12,024:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27154. 2022-03-28 14:04:54,894:INFO:Initializing load_model()
  27155. 2022-03-28 14:04:54,895:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27156. 2022-03-31 18:02:20,721:INFO:Initializing load_model()
  27157. 2022-03-31 18:02:20,722:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27158. 2022-03-31 18:02:52,716:INFO:Initializing predict_model()
  27159. 2022-03-31 18:02:52,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27160. DataTypes_Auto_infer(ml_usecase='classification',
  27161. target='label')),
  27162. ('imputer',
  27163. Simple_Imputer(categorical_strategy='not_available',
  27164. fill_value_categorical=None,
  27165. fill_value_numerical=None,
  27166. numeric_strategy='mean',
  27167. target_variable=None)),
  27168. ('new_levels1',
  27169. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27170. 'frequent',
  27171. targe...
  27172. gamma=0, gpu_id=0, importance_type=None,
  27173. interaction_constraints='', learning_rate=0.05,
  27174. max_delta_step=0, max_depth=64, max_leaves=4096,
  27175. min_child_weight=1, missing=nan,
  27176. monotone_constraints='()', n_estimators=100,
  27177. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27178. random_state=6597, reg_alpha=0, reg_lambda=1,
  27179. scale_pos_weight=1, subsample=1,
  27180. tree_method='gpu_hist', validate_parameters=1,
  27181. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27182. 2022-03-31 18:02:52,718:INFO:Checking exceptions
  27183. 2022-03-31 18:02:52,719:INFO:Preloading libraries
  27184. 2022-04-01 10:02:05,111:INFO:Initializing load_model()
  27185. 2022-04-01 10:02:05,112:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27186. 2022-04-01 15:29:36,450:INFO:Initializing load_model()
  27187. 2022-04-01 15:29:36,452:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27188. 2022-04-01 15:31:41,826:INFO:Initializing load_model()
  27189. 2022-04-01 15:31:41,827:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27190. 2022-04-01 15:32:45,464:INFO:Initializing load_model()
  27191. 2022-04-01 15:32:45,465:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27192. 2022-04-06 15:21:40,127:INFO:PyCaret Supervised Module
  27193. 2022-04-06 15:21:40,128:INFO:ML Usecase: classification
  27194. 2022-04-06 15:21:40,128:INFO:version 2.3.6
  27195. 2022-04-06 15:21:40,129:INFO:Initializing setup()
  27196. 2022-04-06 15:21:40,129:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  27197. 2022-04-06 15:21:40,129:INFO:Checking environment
  27198. 2022-04-06 15:21:40,130:INFO:python_version: 3.8.12
  27199. 2022-04-06 15:21:40,130:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
  27200. 2022-04-06 15:21:40,130:INFO:machine: x86_64
  27201. 2022-04-06 15:21:40,131:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
  27202. 2022-04-06 15:21:40,132:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
  27203. 2022-04-06 15:21:40,132:INFO:Checking libraries
  27204. 2022-04-06 15:21:40,133:INFO:pd==1.4.0
  27205. 2022-04-06 15:21:40,133:INFO:numpy==1.21.2
  27206. 2022-04-06 15:21:40,134:INFO:sklearn==0.23.2
  27207. 2022-04-06 15:21:40,134:INFO:lightgbm==3.3.2
  27208. 2022-04-06 15:21:40,135:WARNING:catboost not found
  27209. 2022-04-06 15:21:40,348:INFO:xgboost==1.5.2
  27210. 2022-04-06 15:21:41,347:INFO:mlflow==1.24.0
  27211. 2022-04-06 15:21:41,349:INFO:Checking Exceptions
  27212. 2022-04-06 15:21:41,354:INFO:Declaring global variables
  27213. 2022-04-06 15:21:41,355:INFO:USI: 64ec
  27214. 2022-04-06 15:21:41,355:INFO:pycaret_globals: {'y', '_all_models_internal', '_gpu_n_jobs_param', 'fix_imbalance_method_param', 'html_param', 'create_model_container', 'fold_generator', 'seed', 'imputation_classifier', 'display_container', 'X_test', '_ml_usecase', 'X_train', '_all_metrics', '_available_plots', 'transform_target_param', 'exp_name_log', 'USI', 'fold_param', 'y_test', 'pycaret_globals', 'target_param', '_all_models', 'logging_param', 'y_train', 'X', 'gpu_param', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param', 'iterative_imputation_iters_param', 'imputation_regressor', 'stratify_param', 'master_model_container', '_internal_pipeline', 'experiment__', 'n_jobs_param', 'fold_groups_param_full', 'transform_target_method_param', 'log_plots_param', 'prep_pipe', 'fix_imbalance_param'}
  27215. 2022-04-06 15:21:41,355:INFO:Preparing display monitor
  27216. 2022-04-06 15:21:41,356:INFO:Preparing display monitor
  27217. 2022-04-06 15:21:41,399:INFO:Importing libraries
  27218. 2022-04-06 15:21:41,400:INFO:Copying data for preprocessing
  27219. 2022-04-06 15:21:41,419:INFO:Declaring preprocessing parameters
  27220. 2022-04-06 15:21:41,446:INFO:Creating preprocessing pipeline
  27221. 2022-04-06 15:21:41,625:INFO:Preprocessing pipeline created successfully
  27222. 2022-04-06 15:21:41,626:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  27223. 2022-04-06 15:21:41,627:INFO:Creating global containers
  27224. 2022-04-06 15:21:41,630:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  27225. 2022-04-06 15:21:45,426:WARNING:Couldn't import catboost.CatBoostClassifier
  27226. 2022-04-06 15:21:45,532:WARNING:Couldn't import catboost.CatBoostClassifier
  27227. 2022-04-06 15:21:45,534:INFO:Creating grid variables
  27228. 2022-04-06 15:21:45,565:INFO:create_model_container: 0
  27229. 2022-04-06 15:21:45,566:INFO:master_model_container: 0
  27230. 2022-04-06 15:21:45,567:INFO:display_container: 1
  27231. 2022-04-06 15:21:45,572:INFO:Pipeline(memory=None,
  27232. steps=[('dtypes',
  27233. DataTypes_Auto_infer(categorical_features=[],
  27234. display_types=True, features_todrop=[],
  27235. id_columns=[],
  27236. ml_usecase='classification',
  27237. numerical_features=[], target='label',
  27238. time_features=[])),
  27239. ('imputer',
  27240. Simple_Imputer(categorical_strategy='not_available',
  27241. fill_value_categorical=None,
  27242. fill_value_numerical=None,
  27243. numeric_strate...
  27244. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  27245. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  27246. ('cluster_all', 'passthrough'),
  27247. ('dummy', Dummify(target='label')),
  27248. ('fix_perfect', Remove_100(target='label')),
  27249. ('clean_names', Clean_Colum_Names()),
  27250. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  27251. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  27252. verbose=False)
  27253. 2022-04-06 15:21:45,572:INFO:setup() succesfully completed......................................
  27254. 2022-04-06 15:21:49,040:INFO:Initializing load_model()
  27255. 2022-04-06 15:21:49,046:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  27256. 2022-04-06 15:21:53,545:INFO:Initializing predict_model()
  27257. 2022-04-06 15:21:53,546:INFO:predict_model(estimator=Pipeline(memory=None,
  27258. steps=[('dtypes',
  27259. DataTypes_Auto_infer(categorical_features=[],
  27260. display_types=True, features_todrop=[],
  27261. id_columns=[],
  27262. ml_usecase='classification',
  27263. numerical_features=[], target='label',
  27264. time_features=[])),
  27265. ('imputer',
  27266. Simple_Imputer(categorical_strategy='not_available',
  27267. fill_value_categorical=None,
  27268. fill_value_numerical=None,
  27269. numeric_strate...
  27270. max_delta_step=0, max_depth=64, max_leaves=4096,
  27271. min_child_weight=1, missing=nan,
  27272. monotone_constraints='()', n_estimators=100,
  27273. n_jobs=-1, num_parallel_tree=1,
  27274. objective='binary:logistic', predictor='auto',
  27275. random_state=6597, reg_alpha=0, reg_lambda=1,
  27276. scale_pos_weight=1, subsample=1,
  27277. tree_method='gpu_hist', use_label_encoder=True,
  27278. validate_parameters=1, ...)]],
  27279. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27280. 2022-04-06 15:21:53,547:INFO:Checking exceptions
  27281. 2022-04-06 15:21:53,547:INFO:Preloading libraries
  27282. 2022-04-06 15:21:53,548:INFO:Preparing display monitor
  27283. 2022-04-06 15:22:37,937:INFO:Initializing get_config()
  27284. 2022-04-06 15:22:37,938:INFO:get_config(variable=prep_pipe)
  27285. 2022-04-06 15:22:37,943:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  27286. steps=[('dtypes',
  27287. DataTypes_Auto_infer(categorical_features=[],
  27288. display_types=True, features_todrop=[],
  27289. id_columns=[],
  27290. ml_usecase='classification',
  27291. numerical_features=[], target='label',
  27292. time_features=[])),
  27293. ('imputer',
  27294. Simple_Imputer(categorical_strategy='not_available',
  27295. fill_value_categorical=None,
  27296. fill_value_numerical=None,
  27297. numeric_strate...
  27298. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  27299. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  27300. ('cluster_all', 'passthrough'),
  27301. ('dummy', Dummify(target='label')),
  27302. ('fix_perfect', Remove_100(target='label')),
  27303. ('clean_names', Clean_Colum_Names()),
  27304. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  27305. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  27306. verbose=False)
  27307. 2022-04-06 15:22:37,944:INFO:get_config() succesfully completed......................................
  27308. 2022-04-06 15:22:37,944:INFO:Initializing get_config()
  27309. 2022-04-06 15:22:37,945:INFO:get_config(variable=data_before_preprocess)
  27310. 2022-04-06 15:22:37,958:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  27311. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27312. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27313. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27314. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27315. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  27316. ... ... ... ... ... ... ... ... ... ... ...
  27317. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27318. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27319. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27320. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27321. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  27322. minute
  27323. 0 0
  27324. 1 1
  27325. 2 2
  27326. 3 3
  27327. 4 4
  27328. ... ...
  27329. 64795 55
  27330. 64796 56
  27331. 64797 57
  27332. 64798 58
  27333. 64799 59
  27334. [64800 rows x 11 columns]
  27335. 2022-04-06 15:22:37,961:INFO:get_config() succesfully completed......................................
  27336. 2022-04-06 15:22:37,967:INFO:Initializing get_config()
  27337. 2022-04-06 15:22:37,967:INFO:get_config(variable=prep_pipe)
  27338. 2022-04-06 15:22:37,972:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  27339. steps=[('dtypes',
  27340. DataTypes_Auto_infer(categorical_features=[],
  27341. display_types=True, features_todrop=[],
  27342. id_columns=[],
  27343. ml_usecase='classification',
  27344. numerical_features=[], target='label',
  27345. time_features=[])),
  27346. ('imputer',
  27347. Simple_Imputer(categorical_strategy='not_available',
  27348. fill_value_categorical=None,
  27349. fill_value_numerical=None,
  27350. numeric_strate...
  27351. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  27352. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  27353. ('cluster_all', 'passthrough'),
  27354. ('dummy', Dummify(target='label')),
  27355. ('fix_perfect', Remove_100(target='label')),
  27356. ('clean_names', Clean_Colum_Names()),
  27357. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  27358. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  27359. verbose=False)
  27360. 2022-04-06 15:22:37,973:INFO:get_config() succesfully completed......................................
  27361. 2022-04-06 15:22:38,000:INFO:Initializing save_model()
  27362. 2022-04-06 15:22:38,001:INFO:save_model(model=Pipeline(memory=None,
  27363. steps=[('dtypes',
  27364. DataTypes_Auto_infer(categorical_features=[],
  27365. display_types=True, features_todrop=[],
  27366. id_columns=[],
  27367. ml_usecase='classification',
  27368. numerical_features=[], target='label',
  27369. time_features=[])),
  27370. ('imputer',
  27371. Simple_Imputer(categorical_strategy='not_available',
  27372. fill_value_categorical=None,
  27373. fill_value_numerical=None,
  27374. numeric_strate...
  27375. max_delta_step=0, max_depth=64, max_leaves=4096,
  27376. min_child_weight=1, missing=nan,
  27377. monotone_constraints='()', n_estimators=100,
  27378. n_jobs=-1, num_parallel_tree=1,
  27379. objective='binary:logistic', predictor='auto',
  27380. random_state=6597, reg_alpha=0, reg_lambda=1,
  27381. scale_pos_weight=1, subsample=1,
  27382. tree_method='gpu_hist', use_label_encoder=True,
  27383. validate_parameters=1, ...)]],
  27384. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  27385. steps=[('dtypes',
  27386. DataTypes_Auto_infer(categorical_features=[],
  27387. display_types=True, features_todrop=[],
  27388. id_columns=[],
  27389. ml_usecase='classification',
  27390. numerical_features=[], target='label',
  27391. time_features=[])),
  27392. ('imputer',
  27393. Simple_Imputer(categorical_strategy='not_available',
  27394. fill_value_categorical=None,
  27395. fill_value_numerical=None,
  27396. numeric_strate...
  27397. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  27398. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  27399. ('cluster_all', 'passthrough'),
  27400. ('dummy', Dummify(target='label')),
  27401. ('fix_perfect', Remove_100(target='label')),
  27402. ('clean_names', Clean_Colum_Names()),
  27403. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  27404. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  27405. verbose=False), verbose=False, kwargs={})
  27406. 2022-04-06 15:22:38,004:INFO:Adding model into prep_pipe
  27407. 2022-04-06 15:22:38,569:WARNING:Only Model saved as it was a pipeline.
  27408. 2022-04-06 15:22:38,879:INFO:my_api.pkl saved in current working directory
  27409. 2022-04-06 15:22:38,903:INFO:Pipeline(memory=None,
  27410. steps=[('dtypes',
  27411. DataTypes_Auto_infer(categorical_features=[],
  27412. display_types=True, features_todrop=[],
  27413. id_columns=[],
  27414. ml_usecase='classification',
  27415. numerical_features=[], target='label',
  27416. time_features=[])),
  27417. ('imputer',
  27418. Simple_Imputer(categorical_strategy='not_available',
  27419. fill_value_categorical=None,
  27420. fill_value_numerical=None,
  27421. numeric_strate...
  27422. max_delta_step=0, max_depth=64, max_leaves=4096,
  27423. min_child_weight=1, missing=nan,
  27424. monotone_constraints='()', n_estimators=100,
  27425. n_jobs=-1, num_parallel_tree=1,
  27426. objective='binary:logistic', predictor='auto',
  27427. random_state=6597, reg_alpha=0, reg_lambda=1,
  27428. scale_pos_weight=1, subsample=1,
  27429. tree_method='gpu_hist', use_label_encoder=True,
  27430. validate_parameters=1, ...)]],
  27431. verbose=False)
  27432. 2022-04-06 15:22:38,903:INFO:save_model() successfully completed......................................
  27433. 2022-04-06 15:40:28,042:INFO:Initializing load_model()
  27434. 2022-04-06 15:40:28,043:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27435. 2022-04-06 15:44:15,008:INFO:Initializing predict_model()
  27436. 2022-04-06 15:44:15,009:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27437. DataTypes_Auto_infer(ml_usecase='classification',
  27438. target='label')),
  27439. ('imputer',
  27440. Simple_Imputer(categorical_strategy='not_available',
  27441. fill_value_categorical=None,
  27442. fill_value_numerical=None,
  27443. numeric_strategy='mean',
  27444. target_variable=None)),
  27445. ('new_levels1',
  27446. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27447. 'frequent',
  27448. targe...
  27449. gamma=0, gpu_id=0, importance_type=None,
  27450. interaction_constraints='', learning_rate=0.05,
  27451. max_delta_step=0, max_depth=64, max_leaves=4096,
  27452. min_child_weight=1, missing=nan,
  27453. monotone_constraints='()', n_estimators=100,
  27454. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27455. random_state=6597, reg_alpha=0, reg_lambda=1,
  27456. scale_pos_weight=1, subsample=1,
  27457. tree_method='gpu_hist', validate_parameters=1,
  27458. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27459. 2022-04-06 15:44:15,010:INFO:Checking exceptions
  27460. 2022-04-06 15:44:15,010:INFO:Preloading libraries
  27461. 2022-04-06 15:49:04,835:INFO:Initializing load_model()
  27462. 2022-04-06 15:49:04,836:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  27463. 2022-04-06 15:49:32,679:INFO:Initializing predict_model()
  27464. 2022-04-06 15:49:32,686:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27465. DataTypes_Auto_infer(ml_usecase='classification',
  27466. target='label')),
  27467. ('imputer',
  27468. Simple_Imputer(categorical_strategy='not_available',
  27469. fill_value_categorical=None,
  27470. fill_value_numerical=None,
  27471. numeric_strategy='mean',
  27472. target_variable=None)),
  27473. ('new_levels1',
  27474. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27475. 'frequent',
  27476. targe...
  27477. gamma=0, gpu_id=0, importance_type=None,
  27478. interaction_constraints='', learning_rate=0.05,
  27479. max_delta_step=0, max_depth=64, max_leaves=4096,
  27480. min_child_weight=1, missing=nan,
  27481. monotone_constraints='()', n_estimators=100,
  27482. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27483. random_state=6597, reg_alpha=0, reg_lambda=1,
  27484. scale_pos_weight=1, subsample=1,
  27485. tree_method='gpu_hist', validate_parameters=1,
  27486. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27487. 2022-04-06 15:49:32,686:INFO:Checking exceptions
  27488. 2022-04-06 15:49:32,687:INFO:Preloading libraries
  27489. 2022-04-06 15:50:04,412:INFO:Initializing predict_model()
  27490. 2022-04-06 15:50:04,413:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27491. DataTypes_Auto_infer(ml_usecase='classification',
  27492. target='label')),
  27493. ('imputer',
  27494. Simple_Imputer(categorical_strategy='not_available',
  27495. fill_value_categorical=None,
  27496. fill_value_numerical=None,
  27497. numeric_strategy='mean',
  27498. target_variable=None)),
  27499. ('new_levels1',
  27500. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27501. 'frequent',
  27502. targe...
  27503. gamma=0, gpu_id=0, importance_type=None,
  27504. interaction_constraints='', learning_rate=0.05,
  27505. max_delta_step=0, max_depth=64, max_leaves=4096,
  27506. min_child_weight=1, missing=nan,
  27507. monotone_constraints='()', n_estimators=100,
  27508. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27509. random_state=6597, reg_alpha=0, reg_lambda=1,
  27510. scale_pos_weight=1, subsample=1,
  27511. tree_method='gpu_hist', validate_parameters=1,
  27512. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27513. 2022-04-06 15:50:04,413:INFO:Checking exceptions
  27514. 2022-04-06 15:50:04,413:INFO:Preloading libraries
  27515. 2022-04-06 15:57:35,364:INFO:Initializing predict_model()
  27516. 2022-04-06 15:57:35,367:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27517. DataTypes_Auto_infer(ml_usecase='classification',
  27518. target='label')),
  27519. ('imputer',
  27520. Simple_Imputer(categorical_strategy='not_available',
  27521. fill_value_categorical=None,
  27522. fill_value_numerical=None,
  27523. numeric_strategy='mean',
  27524. target_variable=None)),
  27525. ('new_levels1',
  27526. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27527. 'frequent',
  27528. targe...
  27529. gamma=0, gpu_id=0, importance_type=None,
  27530. interaction_constraints='', learning_rate=0.05,
  27531. max_delta_step=0, max_depth=64, max_leaves=4096,
  27532. min_child_weight=1, missing=nan,
  27533. monotone_constraints='()', n_estimators=100,
  27534. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27535. random_state=6597, reg_alpha=0, reg_lambda=1,
  27536. scale_pos_weight=1, subsample=1,
  27537. tree_method='gpu_hist', validate_parameters=1,
  27538. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27539. 2022-04-06 15:57:35,367:INFO:Checking exceptions
  27540. 2022-04-06 15:57:35,368:INFO:Preloading libraries
  27541. 2022-04-06 15:58:42,279:INFO:Initializing predict_model()
  27542. 2022-04-06 15:58:42,279:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27543. DataTypes_Auto_infer(ml_usecase='classification',
  27544. target='label')),
  27545. ('imputer',
  27546. Simple_Imputer(categorical_strategy='not_available',
  27547. fill_value_categorical=None,
  27548. fill_value_numerical=None,
  27549. numeric_strategy='mean',
  27550. target_variable=None)),
  27551. ('new_levels1',
  27552. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27553. 'frequent',
  27554. targe...
  27555. gamma=0, gpu_id=0, importance_type=None,
  27556. interaction_constraints='', learning_rate=0.05,
  27557. max_delta_step=0, max_depth=64, max_leaves=4096,
  27558. min_child_weight=1, missing=nan,
  27559. monotone_constraints='()', n_estimators=100,
  27560. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27561. random_state=6597, reg_alpha=0, reg_lambda=1,
  27562. scale_pos_weight=1, subsample=1,
  27563. tree_method='gpu_hist', validate_parameters=1,
  27564. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27565. 2022-04-06 15:58:42,280:INFO:Checking exceptions
  27566. 2022-04-06 15:58:42,280:INFO:Preloading libraries
  27567. 2022-04-06 15:59:47,015:INFO:Initializing predict_model()
  27568. 2022-04-06 15:59:47,016:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27569. DataTypes_Auto_infer(ml_usecase='classification',
  27570. target='label')),
  27571. ('imputer',
  27572. Simple_Imputer(categorical_strategy='not_available',
  27573. fill_value_categorical=None,
  27574. fill_value_numerical=None,
  27575. numeric_strategy='mean',
  27576. target_variable=None)),
  27577. ('new_levels1',
  27578. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27579. 'frequent',
  27580. targe...
  27581. gamma=0, gpu_id=0, importance_type=None,
  27582. interaction_constraints='', learning_rate=0.05,
  27583. max_delta_step=0, max_depth=64, max_leaves=4096,
  27584. min_child_weight=1, missing=nan,
  27585. monotone_constraints='()', n_estimators=100,
  27586. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27587. random_state=6597, reg_alpha=0, reg_lambda=1,
  27588. scale_pos_weight=1, subsample=1,
  27589. tree_method='gpu_hist', validate_parameters=1,
  27590. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27591. 2022-04-06 15:59:47,016:INFO:Checking exceptions
  27592. 2022-04-06 15:59:47,017:INFO:Preloading libraries
  27593. 2022-04-06 16:03:40,767:INFO:Initializing predict_model()
  27594. 2022-04-06 16:03:40,768:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27595. DataTypes_Auto_infer(ml_usecase='classification',
  27596. target='label')),
  27597. ('imputer',
  27598. Simple_Imputer(categorical_strategy='not_available',
  27599. fill_value_categorical=None,
  27600. fill_value_numerical=None,
  27601. numeric_strategy='mean',
  27602. target_variable=None)),
  27603. ('new_levels1',
  27604. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27605. 'frequent',
  27606. targe...
  27607. gamma=0, gpu_id=0, importance_type=None,
  27608. interaction_constraints='', learning_rate=0.05,
  27609. max_delta_step=0, max_depth=64, max_leaves=4096,
  27610. min_child_weight=1, missing=nan,
  27611. monotone_constraints='()', n_estimators=100,
  27612. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27613. random_state=6597, reg_alpha=0, reg_lambda=1,
  27614. scale_pos_weight=1, subsample=1,
  27615. tree_method='gpu_hist', validate_parameters=1,
  27616. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27617. 2022-04-06 16:03:40,768:INFO:Checking exceptions
  27618. 2022-04-06 16:03:40,768:INFO:Preloading libraries
  27619. 2022-04-06 16:05:54,236:INFO:Initializing predict_model()
  27620. 2022-04-06 16:05:54,237:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27621. DataTypes_Auto_infer(ml_usecase='classification',
  27622. target='label')),
  27623. ('imputer',
  27624. Simple_Imputer(categorical_strategy='not_available',
  27625. fill_value_categorical=None,
  27626. fill_value_numerical=None,
  27627. numeric_strategy='mean',
  27628. target_variable=None)),
  27629. ('new_levels1',
  27630. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27631. 'frequent',
  27632. targe...
  27633. gamma=0, gpu_id=0, importance_type=None,
  27634. interaction_constraints='', learning_rate=0.05,
  27635. max_delta_step=0, max_depth=64, max_leaves=4096,
  27636. min_child_weight=1, missing=nan,
  27637. monotone_constraints='()', n_estimators=100,
  27638. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27639. random_state=6597, reg_alpha=0, reg_lambda=1,
  27640. scale_pos_weight=1, subsample=1,
  27641. tree_method='gpu_hist', validate_parameters=1,
  27642. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27643. 2022-04-06 16:05:54,237:INFO:Checking exceptions
  27644. 2022-04-06 16:05:54,237:INFO:Preloading libraries
  27645. 2022-04-06 16:19:12,253:INFO:Initializing predict_model()
  27646. 2022-04-06 16:19:12,254:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27647. DataTypes_Auto_infer(ml_usecase='classification',
  27648. target='label')),
  27649. ('imputer',
  27650. Simple_Imputer(categorical_strategy='not_available',
  27651. fill_value_categorical=None,
  27652. fill_value_numerical=None,
  27653. numeric_strategy='mean',
  27654. target_variable=None)),
  27655. ('new_levels1',
  27656. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27657. 'frequent',
  27658. targe...
  27659. gamma=0, gpu_id=0, importance_type=None,
  27660. interaction_constraints='', learning_rate=0.05,
  27661. max_delta_step=0, max_depth=64, max_leaves=4096,
  27662. min_child_weight=1, missing=nan,
  27663. monotone_constraints='()', n_estimators=100,
  27664. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27665. random_state=6597, reg_alpha=0, reg_lambda=1,
  27666. scale_pos_weight=1, subsample=1,
  27667. tree_method='gpu_hist', validate_parameters=1,
  27668. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27669. 2022-04-06 16:19:12,255:INFO:Checking exceptions
  27670. 2022-04-06 16:19:12,255:INFO:Preloading libraries
  27671. 2022-04-06 16:19:42,359:INFO:Initializing predict_model()
  27672. 2022-04-06 16:19:42,360:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27673. DataTypes_Auto_infer(ml_usecase='classification',
  27674. target='label')),
  27675. ('imputer',
  27676. Simple_Imputer(categorical_strategy='not_available',
  27677. fill_value_categorical=None,
  27678. fill_value_numerical=None,
  27679. numeric_strategy='mean',
  27680. target_variable=None)),
  27681. ('new_levels1',
  27682. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27683. 'frequent',
  27684. targe...
  27685. gamma=0, gpu_id=0, importance_type=None,
  27686. interaction_constraints='', learning_rate=0.05,
  27687. max_delta_step=0, max_depth=64, max_leaves=4096,
  27688. min_child_weight=1, missing=nan,
  27689. monotone_constraints='()', n_estimators=100,
  27690. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27691. random_state=6597, reg_alpha=0, reg_lambda=1,
  27692. scale_pos_weight=1, subsample=1,
  27693. tree_method='gpu_hist', validate_parameters=1,
  27694. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27695. 2022-04-06 16:19:42,361:INFO:Checking exceptions
  27696. 2022-04-06 16:19:42,361:INFO:Preloading libraries
  27697. 2022-04-06 16:22:06,274:INFO:Initializing predict_model()
  27698. 2022-04-06 16:22:06,274:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27699. DataTypes_Auto_infer(ml_usecase='classification',
  27700. target='label')),
  27701. ('imputer',
  27702. Simple_Imputer(categorical_strategy='not_available',
  27703. fill_value_categorical=None,
  27704. fill_value_numerical=None,
  27705. numeric_strategy='mean',
  27706. target_variable=None)),
  27707. ('new_levels1',
  27708. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27709. 'frequent',
  27710. targe...
  27711. gamma=0, gpu_id=0, importance_type=None,
  27712. interaction_constraints='', learning_rate=0.05,
  27713. max_delta_step=0, max_depth=64, max_leaves=4096,
  27714. min_child_weight=1, missing=nan,
  27715. monotone_constraints='()', n_estimators=100,
  27716. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27717. random_state=6597, reg_alpha=0, reg_lambda=1,
  27718. scale_pos_weight=1, subsample=1,
  27719. tree_method='gpu_hist', validate_parameters=1,
  27720. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27721. 2022-04-06 16:22:06,275:INFO:Checking exceptions
  27722. 2022-04-06 16:22:06,275:INFO:Preloading libraries
  27723. 2022-04-06 16:22:49,301:INFO:Initializing predict_model()
  27724. 2022-04-06 16:22:49,303:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27725. DataTypes_Auto_infer(ml_usecase='classification',
  27726. target='label')),
  27727. ('imputer',
  27728. Simple_Imputer(categorical_strategy='not_available',
  27729. fill_value_categorical=None,
  27730. fill_value_numerical=None,
  27731. numeric_strategy='mean',
  27732. target_variable=None)),
  27733. ('new_levels1',
  27734. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27735. 'frequent',
  27736. targe...
  27737. gamma=0, gpu_id=0, importance_type=None,
  27738. interaction_constraints='', learning_rate=0.05,
  27739. max_delta_step=0, max_depth=64, max_leaves=4096,
  27740. min_child_weight=1, missing=nan,
  27741. monotone_constraints='()', n_estimators=100,
  27742. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27743. random_state=6597, reg_alpha=0, reg_lambda=1,
  27744. scale_pos_weight=1, subsample=1,
  27745. tree_method='gpu_hist', validate_parameters=1,
  27746. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27747. 2022-04-06 16:22:49,304:INFO:Checking exceptions
  27748. 2022-04-06 16:22:49,307:INFO:Preloading libraries
  27749. 2022-04-06 16:23:18,809:INFO:Initializing predict_model()
  27750. 2022-04-06 16:23:18,810:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27751. DataTypes_Auto_infer(ml_usecase='classification',
  27752. target='label')),
  27753. ('imputer',
  27754. Simple_Imputer(categorical_strategy='not_available',
  27755. fill_value_categorical=None,
  27756. fill_value_numerical=None,
  27757. numeric_strategy='mean',
  27758. target_variable=None)),
  27759. ('new_levels1',
  27760. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27761. 'frequent',
  27762. targe...
  27763. gamma=0, gpu_id=0, importance_type=None,
  27764. interaction_constraints='', learning_rate=0.05,
  27765. max_delta_step=0, max_depth=64, max_leaves=4096,
  27766. min_child_weight=1, missing=nan,
  27767. monotone_constraints='()', n_estimators=100,
  27768. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27769. random_state=6597, reg_alpha=0, reg_lambda=1,
  27770. scale_pos_weight=1, subsample=1,
  27771. tree_method='gpu_hist', validate_parameters=1,
  27772. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27773. 2022-04-06 16:23:18,812:INFO:Checking exceptions
  27774. 2022-04-06 16:23:18,814:INFO:Preloading libraries
  27775. 2022-04-06 16:23:51,072:INFO:Initializing predict_model()
  27776. 2022-04-06 16:23:51,074:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27777. DataTypes_Auto_infer(ml_usecase='classification',
  27778. target='label')),
  27779. ('imputer',
  27780. Simple_Imputer(categorical_strategy='not_available',
  27781. fill_value_categorical=None,
  27782. fill_value_numerical=None,
  27783. numeric_strategy='mean',
  27784. target_variable=None)),
  27785. ('new_levels1',
  27786. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27787. 'frequent',
  27788. targe...
  27789. gamma=0, gpu_id=0, importance_type=None,
  27790. interaction_constraints='', learning_rate=0.05,
  27791. max_delta_step=0, max_depth=64, max_leaves=4096,
  27792. min_child_weight=1, missing=nan,
  27793. monotone_constraints='()', n_estimators=100,
  27794. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27795. random_state=6597, reg_alpha=0, reg_lambda=1,
  27796. scale_pos_weight=1, subsample=1,
  27797. tree_method='gpu_hist', validate_parameters=1,
  27798. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27799. 2022-04-06 16:23:51,076:INFO:Checking exceptions
  27800. 2022-04-06 16:23:51,076:INFO:Preloading libraries
  27801. 2022-04-06 16:26:16,113:INFO:Initializing predict_model()
  27802. 2022-04-06 16:26:16,113:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27803. DataTypes_Auto_infer(ml_usecase='classification',
  27804. target='label')),
  27805. ('imputer',
  27806. Simple_Imputer(categorical_strategy='not_available',
  27807. fill_value_categorical=None,
  27808. fill_value_numerical=None,
  27809. numeric_strategy='mean',
  27810. target_variable=None)),
  27811. ('new_levels1',
  27812. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27813. 'frequent',
  27814. targe...
  27815. gamma=0, gpu_id=0, importance_type=None,
  27816. interaction_constraints='', learning_rate=0.05,
  27817. max_delta_step=0, max_depth=64, max_leaves=4096,
  27818. min_child_weight=1, missing=nan,
  27819. monotone_constraints='()', n_estimators=100,
  27820. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27821. random_state=6597, reg_alpha=0, reg_lambda=1,
  27822. scale_pos_weight=1, subsample=1,
  27823. tree_method='gpu_hist', validate_parameters=1,
  27824. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27825. 2022-04-06 16:26:16,114:INFO:Checking exceptions
  27826. 2022-04-06 16:26:16,114:INFO:Preloading libraries
  27827. 2022-04-06 16:26:47,200:INFO:Initializing predict_model()
  27828. 2022-04-06 16:26:47,201:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27829. DataTypes_Auto_infer(ml_usecase='classification',
  27830. target='label')),
  27831. ('imputer',
  27832. Simple_Imputer(categorical_strategy='not_available',
  27833. fill_value_categorical=None,
  27834. fill_value_numerical=None,
  27835. numeric_strategy='mean',
  27836. target_variable=None)),
  27837. ('new_levels1',
  27838. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27839. 'frequent',
  27840. targe...
  27841. gamma=0, gpu_id=0, importance_type=None,
  27842. interaction_constraints='', learning_rate=0.05,
  27843. max_delta_step=0, max_depth=64, max_leaves=4096,
  27844. min_child_weight=1, missing=nan,
  27845. monotone_constraints='()', n_estimators=100,
  27846. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27847. random_state=6597, reg_alpha=0, reg_lambda=1,
  27848. scale_pos_weight=1, subsample=1,
  27849. tree_method='gpu_hist', validate_parameters=1,
  27850. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27851. 2022-04-06 16:26:47,201:INFO:Checking exceptions
  27852. 2022-04-06 16:26:47,201:INFO:Preloading libraries
  27853. 2022-04-06 16:27:16,444:INFO:Initializing predict_model()
  27854. 2022-04-06 16:27:16,444:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27855. DataTypes_Auto_infer(ml_usecase='classification',
  27856. target='label')),
  27857. ('imputer',
  27858. Simple_Imputer(categorical_strategy='not_available',
  27859. fill_value_categorical=None,
  27860. fill_value_numerical=None,
  27861. numeric_strategy='mean',
  27862. target_variable=None)),
  27863. ('new_levels1',
  27864. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27865. 'frequent',
  27866. targe...
  27867. gamma=0, gpu_id=0, importance_type=None,
  27868. interaction_constraints='', learning_rate=0.05,
  27869. max_delta_step=0, max_depth=64, max_leaves=4096,
  27870. min_child_weight=1, missing=nan,
  27871. monotone_constraints='()', n_estimators=100,
  27872. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27873. random_state=6597, reg_alpha=0, reg_lambda=1,
  27874. scale_pos_weight=1, subsample=1,
  27875. tree_method='gpu_hist', validate_parameters=1,
  27876. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27877. 2022-04-06 16:27:16,445:INFO:Checking exceptions
  27878. 2022-04-06 16:27:16,445:INFO:Preloading libraries
  27879. 2022-04-06 16:27:47,837:INFO:Initializing predict_model()
  27880. 2022-04-06 16:27:47,837:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27881. DataTypes_Auto_infer(ml_usecase='classification',
  27882. target='label')),
  27883. ('imputer',
  27884. Simple_Imputer(categorical_strategy='not_available',
  27885. fill_value_categorical=None,
  27886. fill_value_numerical=None,
  27887. numeric_strategy='mean',
  27888. target_variable=None)),
  27889. ('new_levels1',
  27890. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27891. 'frequent',
  27892. targe...
  27893. gamma=0, gpu_id=0, importance_type=None,
  27894. interaction_constraints='', learning_rate=0.05,
  27895. max_delta_step=0, max_depth=64, max_leaves=4096,
  27896. min_child_weight=1, missing=nan,
  27897. monotone_constraints='()', n_estimators=100,
  27898. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27899. random_state=6597, reg_alpha=0, reg_lambda=1,
  27900. scale_pos_weight=1, subsample=1,
  27901. tree_method='gpu_hist', validate_parameters=1,
  27902. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27903. 2022-04-06 16:27:47,838:INFO:Checking exceptions
  27904. 2022-04-06 16:27:47,838:INFO:Preloading libraries
  27905. 2022-04-06 16:28:17,261:INFO:Initializing predict_model()
  27906. 2022-04-06 16:28:17,261:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27907. DataTypes_Auto_infer(ml_usecase='classification',
  27908. target='label')),
  27909. ('imputer',
  27910. Simple_Imputer(categorical_strategy='not_available',
  27911. fill_value_categorical=None,
  27912. fill_value_numerical=None,
  27913. numeric_strategy='mean',
  27914. target_variable=None)),
  27915. ('new_levels1',
  27916. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27917. 'frequent',
  27918. targe...
  27919. gamma=0, gpu_id=0, importance_type=None,
  27920. interaction_constraints='', learning_rate=0.05,
  27921. max_delta_step=0, max_depth=64, max_leaves=4096,
  27922. min_child_weight=1, missing=nan,
  27923. monotone_constraints='()', n_estimators=100,
  27924. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27925. random_state=6597, reg_alpha=0, reg_lambda=1,
  27926. scale_pos_weight=1, subsample=1,
  27927. tree_method='gpu_hist', validate_parameters=1,
  27928. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27929. 2022-04-06 16:28:17,261:INFO:Checking exceptions
  27930. 2022-04-06 16:28:17,261:INFO:Preloading libraries
  27931. 2022-04-06 16:28:46,584:INFO:Initializing predict_model()
  27932. 2022-04-06 16:28:46,584:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27933. DataTypes_Auto_infer(ml_usecase='classification',
  27934. target='label')),
  27935. ('imputer',
  27936. Simple_Imputer(categorical_strategy='not_available',
  27937. fill_value_categorical=None,
  27938. fill_value_numerical=None,
  27939. numeric_strategy='mean',
  27940. target_variable=None)),
  27941. ('new_levels1',
  27942. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27943. 'frequent',
  27944. targe...
  27945. gamma=0, gpu_id=0, importance_type=None,
  27946. interaction_constraints='', learning_rate=0.05,
  27947. max_delta_step=0, max_depth=64, max_leaves=4096,
  27948. min_child_weight=1, missing=nan,
  27949. monotone_constraints='()', n_estimators=100,
  27950. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27951. random_state=6597, reg_alpha=0, reg_lambda=1,
  27952. scale_pos_weight=1, subsample=1,
  27953. tree_method='gpu_hist', validate_parameters=1,
  27954. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27955. 2022-04-06 16:28:46,585:INFO:Checking exceptions
  27956. 2022-04-06 16:28:46,585:INFO:Preloading libraries
  27957. 2022-04-06 16:29:16,288:INFO:Initializing predict_model()
  27958. 2022-04-06 16:29:16,289:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27959. DataTypes_Auto_infer(ml_usecase='classification',
  27960. target='label')),
  27961. ('imputer',
  27962. Simple_Imputer(categorical_strategy='not_available',
  27963. fill_value_categorical=None,
  27964. fill_value_numerical=None,
  27965. numeric_strategy='mean',
  27966. target_variable=None)),
  27967. ('new_levels1',
  27968. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27969. 'frequent',
  27970. targe...
  27971. gamma=0, gpu_id=0, importance_type=None,
  27972. interaction_constraints='', learning_rate=0.05,
  27973. max_delta_step=0, max_depth=64, max_leaves=4096,
  27974. min_child_weight=1, missing=nan,
  27975. monotone_constraints='()', n_estimators=100,
  27976. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  27977. random_state=6597, reg_alpha=0, reg_lambda=1,
  27978. scale_pos_weight=1, subsample=1,
  27979. tree_method='gpu_hist', validate_parameters=1,
  27980. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  27981. 2022-04-06 16:29:16,289:INFO:Checking exceptions
  27982. 2022-04-06 16:29:16,289:INFO:Preloading libraries
  27983. 2022-04-06 16:29:52,239:INFO:Initializing predict_model()
  27984. 2022-04-06 16:29:52,240:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  27985. DataTypes_Auto_infer(ml_usecase='classification',
  27986. target='label')),
  27987. ('imputer',
  27988. Simple_Imputer(categorical_strategy='not_available',
  27989. fill_value_categorical=None,
  27990. fill_value_numerical=None,
  27991. numeric_strategy='mean',
  27992. target_variable=None)),
  27993. ('new_levels1',
  27994. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  27995. 'frequent',
  27996. targe...
  27997. gamma=0, gpu_id=0, importance_type=None,
  27998. interaction_constraints='', learning_rate=0.05,
  27999. max_delta_step=0, max_depth=64, max_leaves=4096,
  28000. min_child_weight=1, missing=nan,
  28001. monotone_constraints='()', n_estimators=100,
  28002. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28003. random_state=6597, reg_alpha=0, reg_lambda=1,
  28004. scale_pos_weight=1, subsample=1,
  28005. tree_method='gpu_hist', validate_parameters=1,
  28006. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28007. 2022-04-06 16:29:52,240:INFO:Checking exceptions
  28008. 2022-04-06 16:29:52,241:INFO:Preloading libraries
  28009. 2022-04-06 16:33:19,486:INFO:Initializing predict_model()
  28010. 2022-04-06 16:33:19,486:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28011. DataTypes_Auto_infer(ml_usecase='classification',
  28012. target='label')),
  28013. ('imputer',
  28014. Simple_Imputer(categorical_strategy='not_available',
  28015. fill_value_categorical=None,
  28016. fill_value_numerical=None,
  28017. numeric_strategy='mean',
  28018. target_variable=None)),
  28019. ('new_levels1',
  28020. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28021. 'frequent',
  28022. targe...
  28023. gamma=0, gpu_id=0, importance_type=None,
  28024. interaction_constraints='', learning_rate=0.05,
  28025. max_delta_step=0, max_depth=64, max_leaves=4096,
  28026. min_child_weight=1, missing=nan,
  28027. monotone_constraints='()', n_estimators=100,
  28028. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28029. random_state=6597, reg_alpha=0, reg_lambda=1,
  28030. scale_pos_weight=1, subsample=1,
  28031. tree_method='gpu_hist', validate_parameters=1,
  28032. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28033. 2022-04-06 16:33:19,487:INFO:Checking exceptions
  28034. 2022-04-06 16:33:19,487:INFO:Preloading libraries
  28035. 2022-04-06 16:33:49,233:INFO:Initializing predict_model()
  28036. 2022-04-06 16:33:49,233:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28037. DataTypes_Auto_infer(ml_usecase='classification',
  28038. target='label')),
  28039. ('imputer',
  28040. Simple_Imputer(categorical_strategy='not_available',
  28041. fill_value_categorical=None,
  28042. fill_value_numerical=None,
  28043. numeric_strategy='mean',
  28044. target_variable=None)),
  28045. ('new_levels1',
  28046. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28047. 'frequent',
  28048. targe...
  28049. gamma=0, gpu_id=0, importance_type=None,
  28050. interaction_constraints='', learning_rate=0.05,
  28051. max_delta_step=0, max_depth=64, max_leaves=4096,
  28052. min_child_weight=1, missing=nan,
  28053. monotone_constraints='()', n_estimators=100,
  28054. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28055. random_state=6597, reg_alpha=0, reg_lambda=1,
  28056. scale_pos_weight=1, subsample=1,
  28057. tree_method='gpu_hist', validate_parameters=1,
  28058. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28059. 2022-04-06 16:33:49,234:INFO:Checking exceptions
  28060. 2022-04-06 16:33:49,234:INFO:Preloading libraries
  28061. 2022-04-06 16:34:16,030:INFO:Initializing predict_model()
  28062. 2022-04-06 16:34:16,030:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28063. DataTypes_Auto_infer(ml_usecase='classification',
  28064. target='label')),
  28065. ('imputer',
  28066. Simple_Imputer(categorical_strategy='not_available',
  28067. fill_value_categorical=None,
  28068. fill_value_numerical=None,
  28069. numeric_strategy='mean',
  28070. target_variable=None)),
  28071. ('new_levels1',
  28072. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28073. 'frequent',
  28074. targe...
  28075. gamma=0, gpu_id=0, importance_type=None,
  28076. interaction_constraints='', learning_rate=0.05,
  28077. max_delta_step=0, max_depth=64, max_leaves=4096,
  28078. min_child_weight=1, missing=nan,
  28079. monotone_constraints='()', n_estimators=100,
  28080. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28081. random_state=6597, reg_alpha=0, reg_lambda=1,
  28082. scale_pos_weight=1, subsample=1,
  28083. tree_method='gpu_hist', validate_parameters=1,
  28084. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28085. 2022-04-06 16:34:16,031:INFO:Checking exceptions
  28086. 2022-04-06 16:34:16,031:INFO:Preloading libraries
  28087. 2022-04-06 16:34:50,719:INFO:Initializing predict_model()
  28088. 2022-04-06 16:34:50,719:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28089. DataTypes_Auto_infer(ml_usecase='classification',
  28090. target='label')),
  28091. ('imputer',
  28092. Simple_Imputer(categorical_strategy='not_available',
  28093. fill_value_categorical=None,
  28094. fill_value_numerical=None,
  28095. numeric_strategy='mean',
  28096. target_variable=None)),
  28097. ('new_levels1',
  28098. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28099. 'frequent',
  28100. targe...
  28101. gamma=0, gpu_id=0, importance_type=None,
  28102. interaction_constraints='', learning_rate=0.05,
  28103. max_delta_step=0, max_depth=64, max_leaves=4096,
  28104. min_child_weight=1, missing=nan,
  28105. monotone_constraints='()', n_estimators=100,
  28106. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28107. random_state=6597, reg_alpha=0, reg_lambda=1,
  28108. scale_pos_weight=1, subsample=1,
  28109. tree_method='gpu_hist', validate_parameters=1,
  28110. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28111. 2022-04-06 16:34:50,719:INFO:Checking exceptions
  28112. 2022-04-06 16:34:50,720:INFO:Preloading libraries
  28113. 2022-04-06 16:35:20,803:INFO:Initializing predict_model()
  28114. 2022-04-06 16:35:20,803:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28115. DataTypes_Auto_infer(ml_usecase='classification',
  28116. target='label')),
  28117. ('imputer',
  28118. Simple_Imputer(categorical_strategy='not_available',
  28119. fill_value_categorical=None,
  28120. fill_value_numerical=None,
  28121. numeric_strategy='mean',
  28122. target_variable=None)),
  28123. ('new_levels1',
  28124. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28125. 'frequent',
  28126. targe...
  28127. gamma=0, gpu_id=0, importance_type=None,
  28128. interaction_constraints='', learning_rate=0.05,
  28129. max_delta_step=0, max_depth=64, max_leaves=4096,
  28130. min_child_weight=1, missing=nan,
  28131. monotone_constraints='()', n_estimators=100,
  28132. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28133. random_state=6597, reg_alpha=0, reg_lambda=1,
  28134. scale_pos_weight=1, subsample=1,
  28135. tree_method='gpu_hist', validate_parameters=1,
  28136. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28137. 2022-04-06 16:35:20,804:INFO:Checking exceptions
  28138. 2022-04-06 16:35:20,804:INFO:Preloading libraries
  28139. 2022-04-06 16:35:53,593:INFO:Initializing predict_model()
  28140. 2022-04-06 16:35:53,594:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28141. DataTypes_Auto_infer(ml_usecase='classification',
  28142. target='label')),
  28143. ('imputer',
  28144. Simple_Imputer(categorical_strategy='not_available',
  28145. fill_value_categorical=None,
  28146. fill_value_numerical=None,
  28147. numeric_strategy='mean',
  28148. target_variable=None)),
  28149. ('new_levels1',
  28150. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28151. 'frequent',
  28152. targe...
  28153. gamma=0, gpu_id=0, importance_type=None,
  28154. interaction_constraints='', learning_rate=0.05,
  28155. max_delta_step=0, max_depth=64, max_leaves=4096,
  28156. min_child_weight=1, missing=nan,
  28157. monotone_constraints='()', n_estimators=100,
  28158. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28159. random_state=6597, reg_alpha=0, reg_lambda=1,
  28160. scale_pos_weight=1, subsample=1,
  28161. tree_method='gpu_hist', validate_parameters=1,
  28162. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28163. 2022-04-06 16:35:53,594:INFO:Checking exceptions
  28164. 2022-04-06 16:35:53,594:INFO:Preloading libraries
  28165. 2022-04-06 16:36:29,830:INFO:Initializing predict_model()
  28166. 2022-04-06 16:36:29,831:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28167. DataTypes_Auto_infer(ml_usecase='classification',
  28168. target='label')),
  28169. ('imputer',
  28170. Simple_Imputer(categorical_strategy='not_available',
  28171. fill_value_categorical=None,
  28172. fill_value_numerical=None,
  28173. numeric_strategy='mean',
  28174. target_variable=None)),
  28175. ('new_levels1',
  28176. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28177. 'frequent',
  28178. targe...
  28179. gamma=0, gpu_id=0, importance_type=None,
  28180. interaction_constraints='', learning_rate=0.05,
  28181. max_delta_step=0, max_depth=64, max_leaves=4096,
  28182. min_child_weight=1, missing=nan,
  28183. monotone_constraints='()', n_estimators=100,
  28184. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28185. random_state=6597, reg_alpha=0, reg_lambda=1,
  28186. scale_pos_weight=1, subsample=1,
  28187. tree_method='gpu_hist', validate_parameters=1,
  28188. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28189. 2022-04-06 16:36:29,831:INFO:Checking exceptions
  28190. 2022-04-06 16:36:29,831:INFO:Preloading libraries
  28191. 2022-04-06 16:37:01,316:INFO:Initializing predict_model()
  28192. 2022-04-06 16:37:01,316:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28193. DataTypes_Auto_infer(ml_usecase='classification',
  28194. target='label')),
  28195. ('imputer',
  28196. Simple_Imputer(categorical_strategy='not_available',
  28197. fill_value_categorical=None,
  28198. fill_value_numerical=None,
  28199. numeric_strategy='mean',
  28200. target_variable=None)),
  28201. ('new_levels1',
  28202. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28203. 'frequent',
  28204. targe...
  28205. gamma=0, gpu_id=0, importance_type=None,
  28206. interaction_constraints='', learning_rate=0.05,
  28207. max_delta_step=0, max_depth=64, max_leaves=4096,
  28208. min_child_weight=1, missing=nan,
  28209. monotone_constraints='()', n_estimators=100,
  28210. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28211. random_state=6597, reg_alpha=0, reg_lambda=1,
  28212. scale_pos_weight=1, subsample=1,
  28213. tree_method='gpu_hist', validate_parameters=1,
  28214. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28215. 2022-04-06 16:37:01,317:INFO:Checking exceptions
  28216. 2022-04-06 16:37:01,317:INFO:Preloading libraries
  28217. 2022-04-06 16:40:00,879:INFO:Initializing predict_model()
  28218. 2022-04-06 16:40:00,879:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28219. DataTypes_Auto_infer(ml_usecase='classification',
  28220. target='label')),
  28221. ('imputer',
  28222. Simple_Imputer(categorical_strategy='not_available',
  28223. fill_value_categorical=None,
  28224. fill_value_numerical=None,
  28225. numeric_strategy='mean',
  28226. target_variable=None)),
  28227. ('new_levels1',
  28228. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28229. 'frequent',
  28230. targe...
  28231. gamma=0, gpu_id=0, importance_type=None,
  28232. interaction_constraints='', learning_rate=0.05,
  28233. max_delta_step=0, max_depth=64, max_leaves=4096,
  28234. min_child_weight=1, missing=nan,
  28235. monotone_constraints='()', n_estimators=100,
  28236. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28237. random_state=6597, reg_alpha=0, reg_lambda=1,
  28238. scale_pos_weight=1, subsample=1,
  28239. tree_method='gpu_hist', validate_parameters=1,
  28240. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28241. 2022-04-06 16:40:00,879:INFO:Checking exceptions
  28242. 2022-04-06 16:40:00,880:INFO:Preloading libraries
  28243. 2022-04-06 16:40:32,729:INFO:Initializing predict_model()
  28244. 2022-04-06 16:40:32,729:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28245. DataTypes_Auto_infer(ml_usecase='classification',
  28246. target='label')),
  28247. ('imputer',
  28248. Simple_Imputer(categorical_strategy='not_available',
  28249. fill_value_categorical=None,
  28250. fill_value_numerical=None,
  28251. numeric_strategy='mean',
  28252. target_variable=None)),
  28253. ('new_levels1',
  28254. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28255. 'frequent',
  28256. targe...
  28257. gamma=0, gpu_id=0, importance_type=None,
  28258. interaction_constraints='', learning_rate=0.05,
  28259. max_delta_step=0, max_depth=64, max_leaves=4096,
  28260. min_child_weight=1, missing=nan,
  28261. monotone_constraints='()', n_estimators=100,
  28262. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28263. random_state=6597, reg_alpha=0, reg_lambda=1,
  28264. scale_pos_weight=1, subsample=1,
  28265. tree_method='gpu_hist', validate_parameters=1,
  28266. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28267. 2022-04-06 16:40:32,729:INFO:Checking exceptions
  28268. 2022-04-06 16:40:32,730:INFO:Preloading libraries
  28269. 2022-04-06 16:41:03,283:INFO:Initializing predict_model()
  28270. 2022-04-06 16:41:03,284:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28271. DataTypes_Auto_infer(ml_usecase='classification',
  28272. target='label')),
  28273. ('imputer',
  28274. Simple_Imputer(categorical_strategy='not_available',
  28275. fill_value_categorical=None,
  28276. fill_value_numerical=None,
  28277. numeric_strategy='mean',
  28278. target_variable=None)),
  28279. ('new_levels1',
  28280. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28281. 'frequent',
  28282. targe...
  28283. gamma=0, gpu_id=0, importance_type=None,
  28284. interaction_constraints='', learning_rate=0.05,
  28285. max_delta_step=0, max_depth=64, max_leaves=4096,
  28286. min_child_weight=1, missing=nan,
  28287. monotone_constraints='()', n_estimators=100,
  28288. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28289. random_state=6597, reg_alpha=0, reg_lambda=1,
  28290. scale_pos_weight=1, subsample=1,
  28291. tree_method='gpu_hist', validate_parameters=1,
  28292. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28293. 2022-04-06 16:41:03,284:INFO:Checking exceptions
  28294. 2022-04-06 16:41:03,284:INFO:Preloading libraries
  28295. 2022-04-06 16:41:31,314:INFO:Initializing predict_model()
  28296. 2022-04-06 16:41:31,314:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28297. DataTypes_Auto_infer(ml_usecase='classification',
  28298. target='label')),
  28299. ('imputer',
  28300. Simple_Imputer(categorical_strategy='not_available',
  28301. fill_value_categorical=None,
  28302. fill_value_numerical=None,
  28303. numeric_strategy='mean',
  28304. target_variable=None)),
  28305. ('new_levels1',
  28306. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28307. 'frequent',
  28308. targe...
  28309. gamma=0, gpu_id=0, importance_type=None,
  28310. interaction_constraints='', learning_rate=0.05,
  28311. max_delta_step=0, max_depth=64, max_leaves=4096,
  28312. min_child_weight=1, missing=nan,
  28313. monotone_constraints='()', n_estimators=100,
  28314. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28315. random_state=6597, reg_alpha=0, reg_lambda=1,
  28316. scale_pos_weight=1, subsample=1,
  28317. tree_method='gpu_hist', validate_parameters=1,
  28318. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28319. 2022-04-06 16:41:31,314:INFO:Checking exceptions
  28320. 2022-04-06 16:41:31,315:INFO:Preloading libraries
  28321. 2022-04-06 16:42:03,769:INFO:Initializing predict_model()
  28322. 2022-04-06 16:42:03,770:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28323. DataTypes_Auto_infer(ml_usecase='classification',
  28324. target='label')),
  28325. ('imputer',
  28326. Simple_Imputer(categorical_strategy='not_available',
  28327. fill_value_categorical=None,
  28328. fill_value_numerical=None,
  28329. numeric_strategy='mean',
  28330. target_variable=None)),
  28331. ('new_levels1',
  28332. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28333. 'frequent',
  28334. targe...
  28335. gamma=0, gpu_id=0, importance_type=None,
  28336. interaction_constraints='', learning_rate=0.05,
  28337. max_delta_step=0, max_depth=64, max_leaves=4096,
  28338. min_child_weight=1, missing=nan,
  28339. monotone_constraints='()', n_estimators=100,
  28340. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28341. random_state=6597, reg_alpha=0, reg_lambda=1,
  28342. scale_pos_weight=1, subsample=1,
  28343. tree_method='gpu_hist', validate_parameters=1,
  28344. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28345. 2022-04-06 16:42:03,770:INFO:Checking exceptions
  28346. 2022-04-06 16:42:03,770:INFO:Preloading libraries
  28347. 2022-04-06 16:42:36,409:INFO:Initializing predict_model()
  28348. 2022-04-06 16:42:36,409:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28349. DataTypes_Auto_infer(ml_usecase='classification',
  28350. target='label')),
  28351. ('imputer',
  28352. Simple_Imputer(categorical_strategy='not_available',
  28353. fill_value_categorical=None,
  28354. fill_value_numerical=None,
  28355. numeric_strategy='mean',
  28356. target_variable=None)),
  28357. ('new_levels1',
  28358. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28359. 'frequent',
  28360. targe...
  28361. gamma=0, gpu_id=0, importance_type=None,
  28362. interaction_constraints='', learning_rate=0.05,
  28363. max_delta_step=0, max_depth=64, max_leaves=4096,
  28364. min_child_weight=1, missing=nan,
  28365. monotone_constraints='()', n_estimators=100,
  28366. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28367. random_state=6597, reg_alpha=0, reg_lambda=1,
  28368. scale_pos_weight=1, subsample=1,
  28369. tree_method='gpu_hist', validate_parameters=1,
  28370. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28371. 2022-04-06 16:42:36,409:INFO:Checking exceptions
  28372. 2022-04-06 16:42:36,410:INFO:Preloading libraries
  28373. 2022-04-06 16:43:06,006:INFO:Initializing predict_model()
  28374. 2022-04-06 16:43:06,007:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28375. DataTypes_Auto_infer(ml_usecase='classification',
  28376. target='label')),
  28377. ('imputer',
  28378. Simple_Imputer(categorical_strategy='not_available',
  28379. fill_value_categorical=None,
  28380. fill_value_numerical=None,
  28381. numeric_strategy='mean',
  28382. target_variable=None)),
  28383. ('new_levels1',
  28384. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28385. 'frequent',
  28386. targe...
  28387. gamma=0, gpu_id=0, importance_type=None,
  28388. interaction_constraints='', learning_rate=0.05,
  28389. max_delta_step=0, max_depth=64, max_leaves=4096,
  28390. min_child_weight=1, missing=nan,
  28391. monotone_constraints='()', n_estimators=100,
  28392. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28393. random_state=6597, reg_alpha=0, reg_lambda=1,
  28394. scale_pos_weight=1, subsample=1,
  28395. tree_method='gpu_hist', validate_parameters=1,
  28396. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28397. 2022-04-06 16:43:06,007:INFO:Checking exceptions
  28398. 2022-04-06 16:43:06,007:INFO:Preloading libraries
  28399. 2022-04-06 16:43:37,742:INFO:Initializing predict_model()
  28400. 2022-04-06 16:43:37,742:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28401. DataTypes_Auto_infer(ml_usecase='classification',
  28402. target='label')),
  28403. ('imputer',
  28404. Simple_Imputer(categorical_strategy='not_available',
  28405. fill_value_categorical=None,
  28406. fill_value_numerical=None,
  28407. numeric_strategy='mean',
  28408. target_variable=None)),
  28409. ('new_levels1',
  28410. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28411. 'frequent',
  28412. targe...
  28413. gamma=0, gpu_id=0, importance_type=None,
  28414. interaction_constraints='', learning_rate=0.05,
  28415. max_delta_step=0, max_depth=64, max_leaves=4096,
  28416. min_child_weight=1, missing=nan,
  28417. monotone_constraints='()', n_estimators=100,
  28418. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28419. random_state=6597, reg_alpha=0, reg_lambda=1,
  28420. scale_pos_weight=1, subsample=1,
  28421. tree_method='gpu_hist', validate_parameters=1,
  28422. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28423. 2022-04-06 16:43:37,742:INFO:Checking exceptions
  28424. 2022-04-06 16:43:37,743:INFO:Preloading libraries
  28425. 2022-04-06 16:44:09,252:INFO:Initializing predict_model()
  28426. 2022-04-06 16:44:09,253:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28427. DataTypes_Auto_infer(ml_usecase='classification',
  28428. target='label')),
  28429. ('imputer',
  28430. Simple_Imputer(categorical_strategy='not_available',
  28431. fill_value_categorical=None,
  28432. fill_value_numerical=None,
  28433. numeric_strategy='mean',
  28434. target_variable=None)),
  28435. ('new_levels1',
  28436. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28437. 'frequent',
  28438. targe...
  28439. gamma=0, gpu_id=0, importance_type=None,
  28440. interaction_constraints='', learning_rate=0.05,
  28441. max_delta_step=0, max_depth=64, max_leaves=4096,
  28442. min_child_weight=1, missing=nan,
  28443. monotone_constraints='()', n_estimators=100,
  28444. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28445. random_state=6597, reg_alpha=0, reg_lambda=1,
  28446. scale_pos_weight=1, subsample=1,
  28447. tree_method='gpu_hist', validate_parameters=1,
  28448. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28449. 2022-04-06 16:44:09,253:INFO:Checking exceptions
  28450. 2022-04-06 16:44:09,253:INFO:Preloading libraries
  28451. 2022-04-06 16:44:43,536:INFO:Initializing predict_model()
  28452. 2022-04-06 16:44:43,536:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28453. DataTypes_Auto_infer(ml_usecase='classification',
  28454. target='label')),
  28455. ('imputer',
  28456. Simple_Imputer(categorical_strategy='not_available',
  28457. fill_value_categorical=None,
  28458. fill_value_numerical=None,
  28459. numeric_strategy='mean',
  28460. target_variable=None)),
  28461. ('new_levels1',
  28462. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28463. 'frequent',
  28464. targe...
  28465. gamma=0, gpu_id=0, importance_type=None,
  28466. interaction_constraints='', learning_rate=0.05,
  28467. max_delta_step=0, max_depth=64, max_leaves=4096,
  28468. min_child_weight=1, missing=nan,
  28469. monotone_constraints='()', n_estimators=100,
  28470. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28471. random_state=6597, reg_alpha=0, reg_lambda=1,
  28472. scale_pos_weight=1, subsample=1,
  28473. tree_method='gpu_hist', validate_parameters=1,
  28474. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28475. 2022-04-06 16:44:43,537:INFO:Checking exceptions
  28476. 2022-04-06 16:44:43,537:INFO:Preloading libraries
  28477. 2022-04-06 16:45:15,624:INFO:Initializing predict_model()
  28478. 2022-04-06 16:45:15,624:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28479. DataTypes_Auto_infer(ml_usecase='classification',
  28480. target='label')),
  28481. ('imputer',
  28482. Simple_Imputer(categorical_strategy='not_available',
  28483. fill_value_categorical=None,
  28484. fill_value_numerical=None,
  28485. numeric_strategy='mean',
  28486. target_variable=None)),
  28487. ('new_levels1',
  28488. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28489. 'frequent',
  28490. targe...
  28491. gamma=0, gpu_id=0, importance_type=None,
  28492. interaction_constraints='', learning_rate=0.05,
  28493. max_delta_step=0, max_depth=64, max_leaves=4096,
  28494. min_child_weight=1, missing=nan,
  28495. monotone_constraints='()', n_estimators=100,
  28496. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28497. random_state=6597, reg_alpha=0, reg_lambda=1,
  28498. scale_pos_weight=1, subsample=1,
  28499. tree_method='gpu_hist', validate_parameters=1,
  28500. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28501. 2022-04-06 16:45:15,624:INFO:Checking exceptions
  28502. 2022-04-06 16:45:15,625:INFO:Preloading libraries
  28503. 2022-04-06 16:45:53,515:INFO:Initializing predict_model()
  28504. 2022-04-06 16:45:53,516:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28505. DataTypes_Auto_infer(ml_usecase='classification',
  28506. target='label')),
  28507. ('imputer',
  28508. Simple_Imputer(categorical_strategy='not_available',
  28509. fill_value_categorical=None,
  28510. fill_value_numerical=None,
  28511. numeric_strategy='mean',
  28512. target_variable=None)),
  28513. ('new_levels1',
  28514. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28515. 'frequent',
  28516. targe...
  28517. gamma=0, gpu_id=0, importance_type=None,
  28518. interaction_constraints='', learning_rate=0.05,
  28519. max_delta_step=0, max_depth=64, max_leaves=4096,
  28520. min_child_weight=1, missing=nan,
  28521. monotone_constraints='()', n_estimators=100,
  28522. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28523. random_state=6597, reg_alpha=0, reg_lambda=1,
  28524. scale_pos_weight=1, subsample=1,
  28525. tree_method='gpu_hist', validate_parameters=1,
  28526. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28527. 2022-04-06 16:45:53,516:INFO:Checking exceptions
  28528. 2022-04-06 16:45:53,516:INFO:Preloading libraries
  28529. 2022-04-06 16:46:43,357:INFO:Initializing predict_model()
  28530. 2022-04-06 16:46:43,363:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28531. DataTypes_Auto_infer(ml_usecase='classification',
  28532. target='label')),
  28533. ('imputer',
  28534. Simple_Imputer(categorical_strategy='not_available',
  28535. fill_value_categorical=None,
  28536. fill_value_numerical=None,
  28537. numeric_strategy='mean',
  28538. target_variable=None)),
  28539. ('new_levels1',
  28540. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28541. 'frequent',
  28542. targe...
  28543. gamma=0, gpu_id=0, importance_type=None,
  28544. interaction_constraints='', learning_rate=0.05,
  28545. max_delta_step=0, max_depth=64, max_leaves=4096,
  28546. min_child_weight=1, missing=nan,
  28547. monotone_constraints='()', n_estimators=100,
  28548. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28549. random_state=6597, reg_alpha=0, reg_lambda=1,
  28550. scale_pos_weight=1, subsample=1,
  28551. tree_method='gpu_hist', validate_parameters=1,
  28552. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28553. 2022-04-06 16:46:43,364:INFO:Checking exceptions
  28554. 2022-04-06 16:46:43,374:INFO:Preloading libraries
  28555. 2022-04-06 16:47:14,755:INFO:Initializing predict_model()
  28556. 2022-04-06 16:47:14,756:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28557. DataTypes_Auto_infer(ml_usecase='classification',
  28558. target='label')),
  28559. ('imputer',
  28560. Simple_Imputer(categorical_strategy='not_available',
  28561. fill_value_categorical=None,
  28562. fill_value_numerical=None,
  28563. numeric_strategy='mean',
  28564. target_variable=None)),
  28565. ('new_levels1',
  28566. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28567. 'frequent',
  28568. targe...
  28569. gamma=0, gpu_id=0, importance_type=None,
  28570. interaction_constraints='', learning_rate=0.05,
  28571. max_delta_step=0, max_depth=64, max_leaves=4096,
  28572. min_child_weight=1, missing=nan,
  28573. monotone_constraints='()', n_estimators=100,
  28574. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28575. random_state=6597, reg_alpha=0, reg_lambda=1,
  28576. scale_pos_weight=1, subsample=1,
  28577. tree_method='gpu_hist', validate_parameters=1,
  28578. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28579. 2022-04-06 16:47:14,756:INFO:Checking exceptions
  28580. 2022-04-06 16:47:14,757:INFO:Preloading libraries
  28581. 2022-04-06 16:47:48,891:INFO:Initializing predict_model()
  28582. 2022-04-06 16:47:48,891:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28583. DataTypes_Auto_infer(ml_usecase='classification',
  28584. target='label')),
  28585. ('imputer',
  28586. Simple_Imputer(categorical_strategy='not_available',
  28587. fill_value_categorical=None,
  28588. fill_value_numerical=None,
  28589. numeric_strategy='mean',
  28590. target_variable=None)),
  28591. ('new_levels1',
  28592. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28593. 'frequent',
  28594. targe...
  28595. gamma=0, gpu_id=0, importance_type=None,
  28596. interaction_constraints='', learning_rate=0.05,
  28597. max_delta_step=0, max_depth=64, max_leaves=4096,
  28598. min_child_weight=1, missing=nan,
  28599. monotone_constraints='()', n_estimators=100,
  28600. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28601. random_state=6597, reg_alpha=0, reg_lambda=1,
  28602. scale_pos_weight=1, subsample=1,
  28603. tree_method='gpu_hist', validate_parameters=1,
  28604. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28605. 2022-04-06 16:47:48,892:INFO:Checking exceptions
  28606. 2022-04-06 16:47:48,892:INFO:Preloading libraries
  28607. 2022-04-06 16:48:21,368:INFO:Initializing predict_model()
  28608. 2022-04-06 16:48:21,369:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28609. DataTypes_Auto_infer(ml_usecase='classification',
  28610. target='label')),
  28611. ('imputer',
  28612. Simple_Imputer(categorical_strategy='not_available',
  28613. fill_value_categorical=None,
  28614. fill_value_numerical=None,
  28615. numeric_strategy='mean',
  28616. target_variable=None)),
  28617. ('new_levels1',
  28618. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28619. 'frequent',
  28620. targe...
  28621. gamma=0, gpu_id=0, importance_type=None,
  28622. interaction_constraints='', learning_rate=0.05,
  28623. max_delta_step=0, max_depth=64, max_leaves=4096,
  28624. min_child_weight=1, missing=nan,
  28625. monotone_constraints='()', n_estimators=100,
  28626. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28627. random_state=6597, reg_alpha=0, reg_lambda=1,
  28628. scale_pos_weight=1, subsample=1,
  28629. tree_method='gpu_hist', validate_parameters=1,
  28630. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28631. 2022-04-06 16:48:21,370:INFO:Checking exceptions
  28632. 2022-04-06 16:48:21,370:INFO:Preloading libraries
  28633. 2022-04-06 16:48:54,059:INFO:Initializing predict_model()
  28634. 2022-04-06 16:48:54,060:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28635. DataTypes_Auto_infer(ml_usecase='classification',
  28636. target='label')),
  28637. ('imputer',
  28638. Simple_Imputer(categorical_strategy='not_available',
  28639. fill_value_categorical=None,
  28640. fill_value_numerical=None,
  28641. numeric_strategy='mean',
  28642. target_variable=None)),
  28643. ('new_levels1',
  28644. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28645. 'frequent',
  28646. targe...
  28647. gamma=0, gpu_id=0, importance_type=None,
  28648. interaction_constraints='', learning_rate=0.05,
  28649. max_delta_step=0, max_depth=64, max_leaves=4096,
  28650. min_child_weight=1, missing=nan,
  28651. monotone_constraints='()', n_estimators=100,
  28652. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28653. random_state=6597, reg_alpha=0, reg_lambda=1,
  28654. scale_pos_weight=1, subsample=1,
  28655. tree_method='gpu_hist', validate_parameters=1,
  28656. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28657. 2022-04-06 16:48:54,060:INFO:Checking exceptions
  28658. 2022-04-06 16:48:54,061:INFO:Preloading libraries
  28659. 2022-04-06 16:49:29,400:INFO:Initializing predict_model()
  28660. 2022-04-06 16:49:29,401:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28661. DataTypes_Auto_infer(ml_usecase='classification',
  28662. target='label')),
  28663. ('imputer',
  28664. Simple_Imputer(categorical_strategy='not_available',
  28665. fill_value_categorical=None,
  28666. fill_value_numerical=None,
  28667. numeric_strategy='mean',
  28668. target_variable=None)),
  28669. ('new_levels1',
  28670. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28671. 'frequent',
  28672. targe...
  28673. gamma=0, gpu_id=0, importance_type=None,
  28674. interaction_constraints='', learning_rate=0.05,
  28675. max_delta_step=0, max_depth=64, max_leaves=4096,
  28676. min_child_weight=1, missing=nan,
  28677. monotone_constraints='()', n_estimators=100,
  28678. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28679. random_state=6597, reg_alpha=0, reg_lambda=1,
  28680. scale_pos_weight=1, subsample=1,
  28681. tree_method='gpu_hist', validate_parameters=1,
  28682. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28683. 2022-04-06 16:49:29,401:INFO:Checking exceptions
  28684. 2022-04-06 16:49:29,401:INFO:Preloading libraries
  28685. 2022-04-06 16:50:02,735:INFO:Initializing predict_model()
  28686. 2022-04-06 16:50:02,736:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28687. DataTypes_Auto_infer(ml_usecase='classification',
  28688. target='label')),
  28689. ('imputer',
  28690. Simple_Imputer(categorical_strategy='not_available',
  28691. fill_value_categorical=None,
  28692. fill_value_numerical=None,
  28693. numeric_strategy='mean',
  28694. target_variable=None)),
  28695. ('new_levels1',
  28696. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28697. 'frequent',
  28698. targe...
  28699. gamma=0, gpu_id=0, importance_type=None,
  28700. interaction_constraints='', learning_rate=0.05,
  28701. max_delta_step=0, max_depth=64, max_leaves=4096,
  28702. min_child_weight=1, missing=nan,
  28703. monotone_constraints='()', n_estimators=100,
  28704. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28705. random_state=6597, reg_alpha=0, reg_lambda=1,
  28706. scale_pos_weight=1, subsample=1,
  28707. tree_method='gpu_hist', validate_parameters=1,
  28708. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28709. 2022-04-06 16:50:02,736:INFO:Checking exceptions
  28710. 2022-04-06 16:50:02,737:INFO:Preloading libraries
  28711. 2022-04-06 16:50:36,834:INFO:Initializing predict_model()
  28712. 2022-04-06 16:50:36,835:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28713. DataTypes_Auto_infer(ml_usecase='classification',
  28714. target='label')),
  28715. ('imputer',
  28716. Simple_Imputer(categorical_strategy='not_available',
  28717. fill_value_categorical=None,
  28718. fill_value_numerical=None,
  28719. numeric_strategy='mean',
  28720. target_variable=None)),
  28721. ('new_levels1',
  28722. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28723. 'frequent',
  28724. targe...
  28725. gamma=0, gpu_id=0, importance_type=None,
  28726. interaction_constraints='', learning_rate=0.05,
  28727. max_delta_step=0, max_depth=64, max_leaves=4096,
  28728. min_child_weight=1, missing=nan,
  28729. monotone_constraints='()', n_estimators=100,
  28730. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28731. random_state=6597, reg_alpha=0, reg_lambda=1,
  28732. scale_pos_weight=1, subsample=1,
  28733. tree_method='gpu_hist', validate_parameters=1,
  28734. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28735. 2022-04-06 16:50:36,835:INFO:Checking exceptions
  28736. 2022-04-06 16:50:36,836:INFO:Preloading libraries
  28737. 2022-04-06 17:32:58,286:INFO:Initializing predict_model()
  28738. 2022-04-06 17:32:58,289:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28739. DataTypes_Auto_infer(ml_usecase='classification',
  28740. target='label')),
  28741. ('imputer',
  28742. Simple_Imputer(categorical_strategy='not_available',
  28743. fill_value_categorical=None,
  28744. fill_value_numerical=None,
  28745. numeric_strategy='mean',
  28746. target_variable=None)),
  28747. ('new_levels1',
  28748. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28749. 'frequent',
  28750. targe...
  28751. gamma=0, gpu_id=0, importance_type=None,
  28752. interaction_constraints='', learning_rate=0.05,
  28753. max_delta_step=0, max_depth=64, max_leaves=4096,
  28754. min_child_weight=1, missing=nan,
  28755. monotone_constraints='()', n_estimators=100,
  28756. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28757. random_state=6597, reg_alpha=0, reg_lambda=1,
  28758. scale_pos_weight=1, subsample=1,
  28759. tree_method='gpu_hist', validate_parameters=1,
  28760. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28761. 2022-04-06 17:32:58,289:INFO:Checking exceptions
  28762. 2022-04-06 17:32:58,290:INFO:Preloading libraries
  28763. 2022-04-06 17:33:35,942:INFO:Initializing predict_model()
  28764. 2022-04-06 17:33:35,953:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28765. DataTypes_Auto_infer(ml_usecase='classification',
  28766. target='label')),
  28767. ('imputer',
  28768. Simple_Imputer(categorical_strategy='not_available',
  28769. fill_value_categorical=None,
  28770. fill_value_numerical=None,
  28771. numeric_strategy='mean',
  28772. target_variable=None)),
  28773. ('new_levels1',
  28774. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28775. 'frequent',
  28776. targe...
  28777. gamma=0, gpu_id=0, importance_type=None,
  28778. interaction_constraints='', learning_rate=0.05,
  28779. max_delta_step=0, max_depth=64, max_leaves=4096,
  28780. min_child_weight=1, missing=nan,
  28781. monotone_constraints='()', n_estimators=100,
  28782. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28783. random_state=6597, reg_alpha=0, reg_lambda=1,
  28784. scale_pos_weight=1, subsample=1,
  28785. tree_method='gpu_hist', validate_parameters=1,
  28786. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28787. 2022-04-06 17:33:35,954:INFO:Checking exceptions
  28788. 2022-04-06 17:33:35,954:INFO:Preloading libraries
  28789. 2022-04-06 17:34:07,147:INFO:Initializing predict_model()
  28790. 2022-04-06 17:34:07,148:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28791. DataTypes_Auto_infer(ml_usecase='classification',
  28792. target='label')),
  28793. ('imputer',
  28794. Simple_Imputer(categorical_strategy='not_available',
  28795. fill_value_categorical=None,
  28796. fill_value_numerical=None,
  28797. numeric_strategy='mean',
  28798. target_variable=None)),
  28799. ('new_levels1',
  28800. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28801. 'frequent',
  28802. targe...
  28803. gamma=0, gpu_id=0, importance_type=None,
  28804. interaction_constraints='', learning_rate=0.05,
  28805. max_delta_step=0, max_depth=64, max_leaves=4096,
  28806. min_child_weight=1, missing=nan,
  28807. monotone_constraints='()', n_estimators=100,
  28808. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28809. random_state=6597, reg_alpha=0, reg_lambda=1,
  28810. scale_pos_weight=1, subsample=1,
  28811. tree_method='gpu_hist', validate_parameters=1,
  28812. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28813. 2022-04-06 17:34:07,149:INFO:Checking exceptions
  28814. 2022-04-06 17:34:07,149:INFO:Preloading libraries
  28815. 2022-04-06 17:34:43,124:INFO:Initializing predict_model()
  28816. 2022-04-06 17:34:43,125:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28817. DataTypes_Auto_infer(ml_usecase='classification',
  28818. target='label')),
  28819. ('imputer',
  28820. Simple_Imputer(categorical_strategy='not_available',
  28821. fill_value_categorical=None,
  28822. fill_value_numerical=None,
  28823. numeric_strategy='mean',
  28824. target_variable=None)),
  28825. ('new_levels1',
  28826. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28827. 'frequent',
  28828. targe...
  28829. gamma=0, gpu_id=0, importance_type=None,
  28830. interaction_constraints='', learning_rate=0.05,
  28831. max_delta_step=0, max_depth=64, max_leaves=4096,
  28832. min_child_weight=1, missing=nan,
  28833. monotone_constraints='()', n_estimators=100,
  28834. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28835. random_state=6597, reg_alpha=0, reg_lambda=1,
  28836. scale_pos_weight=1, subsample=1,
  28837. tree_method='gpu_hist', validate_parameters=1,
  28838. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28839. 2022-04-06 17:34:43,125:INFO:Checking exceptions
  28840. 2022-04-06 17:34:43,125:INFO:Preloading libraries
  28841. 2022-04-06 17:35:15,655:INFO:Initializing predict_model()
  28842. 2022-04-06 17:35:15,655:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28843. DataTypes_Auto_infer(ml_usecase='classification',
  28844. target='label')),
  28845. ('imputer',
  28846. Simple_Imputer(categorical_strategy='not_available',
  28847. fill_value_categorical=None,
  28848. fill_value_numerical=None,
  28849. numeric_strategy='mean',
  28850. target_variable=None)),
  28851. ('new_levels1',
  28852. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28853. 'frequent',
  28854. targe...
  28855. gamma=0, gpu_id=0, importance_type=None,
  28856. interaction_constraints='', learning_rate=0.05,
  28857. max_delta_step=0, max_depth=64, max_leaves=4096,
  28858. min_child_weight=1, missing=nan,
  28859. monotone_constraints='()', n_estimators=100,
  28860. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28861. random_state=6597, reg_alpha=0, reg_lambda=1,
  28862. scale_pos_weight=1, subsample=1,
  28863. tree_method='gpu_hist', validate_parameters=1,
  28864. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28865. 2022-04-06 17:35:15,656:INFO:Checking exceptions
  28866. 2022-04-06 17:35:15,656:INFO:Preloading libraries
  28867. 2022-04-06 17:35:50,579:INFO:Initializing predict_model()
  28868. 2022-04-06 17:35:50,580:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28869. DataTypes_Auto_infer(ml_usecase='classification',
  28870. target='label')),
  28871. ('imputer',
  28872. Simple_Imputer(categorical_strategy='not_available',
  28873. fill_value_categorical=None,
  28874. fill_value_numerical=None,
  28875. numeric_strategy='mean',
  28876. target_variable=None)),
  28877. ('new_levels1',
  28878. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28879. 'frequent',
  28880. targe...
  28881. gamma=0, gpu_id=0, importance_type=None,
  28882. interaction_constraints='', learning_rate=0.05,
  28883. max_delta_step=0, max_depth=64, max_leaves=4096,
  28884. min_child_weight=1, missing=nan,
  28885. monotone_constraints='()', n_estimators=100,
  28886. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28887. random_state=6597, reg_alpha=0, reg_lambda=1,
  28888. scale_pos_weight=1, subsample=1,
  28889. tree_method='gpu_hist', validate_parameters=1,
  28890. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28891. 2022-04-06 17:35:50,580:INFO:Checking exceptions
  28892. 2022-04-06 17:35:50,581:INFO:Preloading libraries
  28893. 2022-04-06 17:36:22,832:INFO:Initializing predict_model()
  28894. 2022-04-06 17:36:22,833:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28895. DataTypes_Auto_infer(ml_usecase='classification',
  28896. target='label')),
  28897. ('imputer',
  28898. Simple_Imputer(categorical_strategy='not_available',
  28899. fill_value_categorical=None,
  28900. fill_value_numerical=None,
  28901. numeric_strategy='mean',
  28902. target_variable=None)),
  28903. ('new_levels1',
  28904. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28905. 'frequent',
  28906. targe...
  28907. gamma=0, gpu_id=0, importance_type=None,
  28908. interaction_constraints='', learning_rate=0.05,
  28909. max_delta_step=0, max_depth=64, max_leaves=4096,
  28910. min_child_weight=1, missing=nan,
  28911. monotone_constraints='()', n_estimators=100,
  28912. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28913. random_state=6597, reg_alpha=0, reg_lambda=1,
  28914. scale_pos_weight=1, subsample=1,
  28915. tree_method='gpu_hist', validate_parameters=1,
  28916. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28917. 2022-04-06 17:36:22,833:INFO:Checking exceptions
  28918. 2022-04-06 17:36:22,833:INFO:Preloading libraries
  28919. 2022-04-06 17:36:53,692:INFO:Initializing predict_model()
  28920. 2022-04-06 17:36:53,692:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28921. DataTypes_Auto_infer(ml_usecase='classification',
  28922. target='label')),
  28923. ('imputer',
  28924. Simple_Imputer(categorical_strategy='not_available',
  28925. fill_value_categorical=None,
  28926. fill_value_numerical=None,
  28927. numeric_strategy='mean',
  28928. target_variable=None)),
  28929. ('new_levels1',
  28930. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28931. 'frequent',
  28932. targe...
  28933. gamma=0, gpu_id=0, importance_type=None,
  28934. interaction_constraints='', learning_rate=0.05,
  28935. max_delta_step=0, max_depth=64, max_leaves=4096,
  28936. min_child_weight=1, missing=nan,
  28937. monotone_constraints='()', n_estimators=100,
  28938. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28939. random_state=6597, reg_alpha=0, reg_lambda=1,
  28940. scale_pos_weight=1, subsample=1,
  28941. tree_method='gpu_hist', validate_parameters=1,
  28942. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28943. 2022-04-06 17:36:53,693:INFO:Checking exceptions
  28944. 2022-04-06 17:36:53,693:INFO:Preloading libraries
  28945. 2022-04-06 17:37:22,575:INFO:Initializing predict_model()
  28946. 2022-04-06 17:37:22,576:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28947. DataTypes_Auto_infer(ml_usecase='classification',
  28948. target='label')),
  28949. ('imputer',
  28950. Simple_Imputer(categorical_strategy='not_available',
  28951. fill_value_categorical=None,
  28952. fill_value_numerical=None,
  28953. numeric_strategy='mean',
  28954. target_variable=None)),
  28955. ('new_levels1',
  28956. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28957. 'frequent',
  28958. targe...
  28959. gamma=0, gpu_id=0, importance_type=None,
  28960. interaction_constraints='', learning_rate=0.05,
  28961. max_delta_step=0, max_depth=64, max_leaves=4096,
  28962. min_child_weight=1, missing=nan,
  28963. monotone_constraints='()', n_estimators=100,
  28964. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28965. random_state=6597, reg_alpha=0, reg_lambda=1,
  28966. scale_pos_weight=1, subsample=1,
  28967. tree_method='gpu_hist', validate_parameters=1,
  28968. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28969. 2022-04-06 17:37:22,576:INFO:Checking exceptions
  28970. 2022-04-06 17:37:22,576:INFO:Preloading libraries
  28971. 2022-04-06 17:37:54,670:INFO:Initializing predict_model()
  28972. 2022-04-06 17:37:54,671:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28973. DataTypes_Auto_infer(ml_usecase='classification',
  28974. target='label')),
  28975. ('imputer',
  28976. Simple_Imputer(categorical_strategy='not_available',
  28977. fill_value_categorical=None,
  28978. fill_value_numerical=None,
  28979. numeric_strategy='mean',
  28980. target_variable=None)),
  28981. ('new_levels1',
  28982. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  28983. 'frequent',
  28984. targe...
  28985. gamma=0, gpu_id=0, importance_type=None,
  28986. interaction_constraints='', learning_rate=0.05,
  28987. max_delta_step=0, max_depth=64, max_leaves=4096,
  28988. min_child_weight=1, missing=nan,
  28989. monotone_constraints='()', n_estimators=100,
  28990. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  28991. random_state=6597, reg_alpha=0, reg_lambda=1,
  28992. scale_pos_weight=1, subsample=1,
  28993. tree_method='gpu_hist', validate_parameters=1,
  28994. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  28995. 2022-04-06 17:37:54,672:INFO:Checking exceptions
  28996. 2022-04-06 17:37:54,672:INFO:Preloading libraries
  28997. 2022-04-06 17:38:28,535:INFO:Initializing predict_model()
  28998. 2022-04-06 17:38:28,536:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  28999. DataTypes_Auto_infer(ml_usecase='classification',
  29000. target='label')),
  29001. ('imputer',
  29002. Simple_Imputer(categorical_strategy='not_available',
  29003. fill_value_categorical=None,
  29004. fill_value_numerical=None,
  29005. numeric_strategy='mean',
  29006. target_variable=None)),
  29007. ('new_levels1',
  29008. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29009. 'frequent',
  29010. targe...
  29011. gamma=0, gpu_id=0, importance_type=None,
  29012. interaction_constraints='', learning_rate=0.05,
  29013. max_delta_step=0, max_depth=64, max_leaves=4096,
  29014. min_child_weight=1, missing=nan,
  29015. monotone_constraints='()', n_estimators=100,
  29016. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29017. random_state=6597, reg_alpha=0, reg_lambda=1,
  29018. scale_pos_weight=1, subsample=1,
  29019. tree_method='gpu_hist', validate_parameters=1,
  29020. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29021. 2022-04-06 17:38:28,537:INFO:Checking exceptions
  29022. 2022-04-06 17:38:28,537:INFO:Preloading libraries
  29023. 2022-04-06 17:39:01,896:INFO:Initializing predict_model()
  29024. 2022-04-06 17:39:01,896:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29025. DataTypes_Auto_infer(ml_usecase='classification',
  29026. target='label')),
  29027. ('imputer',
  29028. Simple_Imputer(categorical_strategy='not_available',
  29029. fill_value_categorical=None,
  29030. fill_value_numerical=None,
  29031. numeric_strategy='mean',
  29032. target_variable=None)),
  29033. ('new_levels1',
  29034. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29035. 'frequent',
  29036. targe...
  29037. gamma=0, gpu_id=0, importance_type=None,
  29038. interaction_constraints='', learning_rate=0.05,
  29039. max_delta_step=0, max_depth=64, max_leaves=4096,
  29040. min_child_weight=1, missing=nan,
  29041. monotone_constraints='()', n_estimators=100,
  29042. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29043. random_state=6597, reg_alpha=0, reg_lambda=1,
  29044. scale_pos_weight=1, subsample=1,
  29045. tree_method='gpu_hist', validate_parameters=1,
  29046. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29047. 2022-04-06 17:39:01,897:INFO:Checking exceptions
  29048. 2022-04-06 17:39:01,897:INFO:Preloading libraries
  29049. 2022-04-06 17:39:35,564:INFO:Initializing predict_model()
  29050. 2022-04-06 17:39:35,567:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29051. DataTypes_Auto_infer(ml_usecase='classification',
  29052. target='label')),
  29053. ('imputer',
  29054. Simple_Imputer(categorical_strategy='not_available',
  29055. fill_value_categorical=None,
  29056. fill_value_numerical=None,
  29057. numeric_strategy='mean',
  29058. target_variable=None)),
  29059. ('new_levels1',
  29060. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29061. 'frequent',
  29062. targe...
  29063. gamma=0, gpu_id=0, importance_type=None,
  29064. interaction_constraints='', learning_rate=0.05,
  29065. max_delta_step=0, max_depth=64, max_leaves=4096,
  29066. min_child_weight=1, missing=nan,
  29067. monotone_constraints='()', n_estimators=100,
  29068. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29069. random_state=6597, reg_alpha=0, reg_lambda=1,
  29070. scale_pos_weight=1, subsample=1,
  29071. tree_method='gpu_hist', validate_parameters=1,
  29072. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29073. 2022-04-06 17:39:35,567:INFO:Checking exceptions
  29074. 2022-04-06 17:39:35,567:INFO:Preloading libraries
  29075. 2022-04-06 17:40:05,645:INFO:Initializing predict_model()
  29076. 2022-04-06 17:40:05,647:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29077. DataTypes_Auto_infer(ml_usecase='classification',
  29078. target='label')),
  29079. ('imputer',
  29080. Simple_Imputer(categorical_strategy='not_available',
  29081. fill_value_categorical=None,
  29082. fill_value_numerical=None,
  29083. numeric_strategy='mean',
  29084. target_variable=None)),
  29085. ('new_levels1',
  29086. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29087. 'frequent',
  29088. targe...
  29089. gamma=0, gpu_id=0, importance_type=None,
  29090. interaction_constraints='', learning_rate=0.05,
  29091. max_delta_step=0, max_depth=64, max_leaves=4096,
  29092. min_child_weight=1, missing=nan,
  29093. monotone_constraints='()', n_estimators=100,
  29094. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29095. random_state=6597, reg_alpha=0, reg_lambda=1,
  29096. scale_pos_weight=1, subsample=1,
  29097. tree_method='gpu_hist', validate_parameters=1,
  29098. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29099. 2022-04-06 17:40:05,651:INFO:Checking exceptions
  29100. 2022-04-06 17:40:05,651:INFO:Preloading libraries
  29101. 2022-04-06 17:40:35,366:INFO:Initializing predict_model()
  29102. 2022-04-06 17:40:35,367:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29103. DataTypes_Auto_infer(ml_usecase='classification',
  29104. target='label')),
  29105. ('imputer',
  29106. Simple_Imputer(categorical_strategy='not_available',
  29107. fill_value_categorical=None,
  29108. fill_value_numerical=None,
  29109. numeric_strategy='mean',
  29110. target_variable=None)),
  29111. ('new_levels1',
  29112. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29113. 'frequent',
  29114. targe...
  29115. gamma=0, gpu_id=0, importance_type=None,
  29116. interaction_constraints='', learning_rate=0.05,
  29117. max_delta_step=0, max_depth=64, max_leaves=4096,
  29118. min_child_weight=1, missing=nan,
  29119. monotone_constraints='()', n_estimators=100,
  29120. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29121. random_state=6597, reg_alpha=0, reg_lambda=1,
  29122. scale_pos_weight=1, subsample=1,
  29123. tree_method='gpu_hist', validate_parameters=1,
  29124. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29125. 2022-04-06 17:40:35,368:INFO:Checking exceptions
  29126. 2022-04-06 17:40:35,368:INFO:Preloading libraries
  29127. 2022-04-06 17:41:03,899:INFO:Initializing predict_model()
  29128. 2022-04-06 17:41:03,900:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29129. DataTypes_Auto_infer(ml_usecase='classification',
  29130. target='label')),
  29131. ('imputer',
  29132. Simple_Imputer(categorical_strategy='not_available',
  29133. fill_value_categorical=None,
  29134. fill_value_numerical=None,
  29135. numeric_strategy='mean',
  29136. target_variable=None)),
  29137. ('new_levels1',
  29138. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29139. 'frequent',
  29140. targe...
  29141. gamma=0, gpu_id=0, importance_type=None,
  29142. interaction_constraints='', learning_rate=0.05,
  29143. max_delta_step=0, max_depth=64, max_leaves=4096,
  29144. min_child_weight=1, missing=nan,
  29145. monotone_constraints='()', n_estimators=100,
  29146. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29147. random_state=6597, reg_alpha=0, reg_lambda=1,
  29148. scale_pos_weight=1, subsample=1,
  29149. tree_method='gpu_hist', validate_parameters=1,
  29150. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29151. 2022-04-06 17:41:03,900:INFO:Checking exceptions
  29152. 2022-04-06 17:41:03,901:INFO:Preloading libraries
  29153. 2022-04-06 17:41:36,234:INFO:Initializing predict_model()
  29154. 2022-04-06 17:41:36,234:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29155. DataTypes_Auto_infer(ml_usecase='classification',
  29156. target='label')),
  29157. ('imputer',
  29158. Simple_Imputer(categorical_strategy='not_available',
  29159. fill_value_categorical=None,
  29160. fill_value_numerical=None,
  29161. numeric_strategy='mean',
  29162. target_variable=None)),
  29163. ('new_levels1',
  29164. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29165. 'frequent',
  29166. targe...
  29167. gamma=0, gpu_id=0, importance_type=None,
  29168. interaction_constraints='', learning_rate=0.05,
  29169. max_delta_step=0, max_depth=64, max_leaves=4096,
  29170. min_child_weight=1, missing=nan,
  29171. monotone_constraints='()', n_estimators=100,
  29172. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29173. random_state=6597, reg_alpha=0, reg_lambda=1,
  29174. scale_pos_weight=1, subsample=1,
  29175. tree_method='gpu_hist', validate_parameters=1,
  29176. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29177. 2022-04-06 17:41:36,235:INFO:Checking exceptions
  29178. 2022-04-06 17:41:36,236:INFO:Preloading libraries
  29179. 2022-04-06 17:42:09,522:INFO:Initializing predict_model()
  29180. 2022-04-06 17:42:09,524:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29181. DataTypes_Auto_infer(ml_usecase='classification',
  29182. target='label')),
  29183. ('imputer',
  29184. Simple_Imputer(categorical_strategy='not_available',
  29185. fill_value_categorical=None,
  29186. fill_value_numerical=None,
  29187. numeric_strategy='mean',
  29188. target_variable=None)),
  29189. ('new_levels1',
  29190. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29191. 'frequent',
  29192. targe...
  29193. gamma=0, gpu_id=0, importance_type=None,
  29194. interaction_constraints='', learning_rate=0.05,
  29195. max_delta_step=0, max_depth=64, max_leaves=4096,
  29196. min_child_weight=1, missing=nan,
  29197. monotone_constraints='()', n_estimators=100,
  29198. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29199. random_state=6597, reg_alpha=0, reg_lambda=1,
  29200. scale_pos_weight=1, subsample=1,
  29201. tree_method='gpu_hist', validate_parameters=1,
  29202. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29203. 2022-04-06 17:42:09,525:INFO:Checking exceptions
  29204. 2022-04-06 17:42:09,525:INFO:Preloading libraries
  29205. 2022-04-06 17:42:40,866:INFO:Initializing predict_model()
  29206. 2022-04-06 17:42:40,867:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29207. DataTypes_Auto_infer(ml_usecase='classification',
  29208. target='label')),
  29209. ('imputer',
  29210. Simple_Imputer(categorical_strategy='not_available',
  29211. fill_value_categorical=None,
  29212. fill_value_numerical=None,
  29213. numeric_strategy='mean',
  29214. target_variable=None)),
  29215. ('new_levels1',
  29216. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29217. 'frequent',
  29218. targe...
  29219. gamma=0, gpu_id=0, importance_type=None,
  29220. interaction_constraints='', learning_rate=0.05,
  29221. max_delta_step=0, max_depth=64, max_leaves=4096,
  29222. min_child_weight=1, missing=nan,
  29223. monotone_constraints='()', n_estimators=100,
  29224. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29225. random_state=6597, reg_alpha=0, reg_lambda=1,
  29226. scale_pos_weight=1, subsample=1,
  29227. tree_method='gpu_hist', validate_parameters=1,
  29228. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29229. 2022-04-06 17:42:40,867:INFO:Checking exceptions
  29230. 2022-04-06 17:42:40,867:INFO:Preloading libraries
  29231. 2022-04-06 17:43:13,369:INFO:Initializing predict_model()
  29232. 2022-04-06 17:43:13,370:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29233. DataTypes_Auto_infer(ml_usecase='classification',
  29234. target='label')),
  29235. ('imputer',
  29236. Simple_Imputer(categorical_strategy='not_available',
  29237. fill_value_categorical=None,
  29238. fill_value_numerical=None,
  29239. numeric_strategy='mean',
  29240. target_variable=None)),
  29241. ('new_levels1',
  29242. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29243. 'frequent',
  29244. targe...
  29245. gamma=0, gpu_id=0, importance_type=None,
  29246. interaction_constraints='', learning_rate=0.05,
  29247. max_delta_step=0, max_depth=64, max_leaves=4096,
  29248. min_child_weight=1, missing=nan,
  29249. monotone_constraints='()', n_estimators=100,
  29250. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29251. random_state=6597, reg_alpha=0, reg_lambda=1,
  29252. scale_pos_weight=1, subsample=1,
  29253. tree_method='gpu_hist', validate_parameters=1,
  29254. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29255. 2022-04-06 17:43:13,370:INFO:Checking exceptions
  29256. 2022-04-06 17:43:13,370:INFO:Preloading libraries
  29257. 2022-04-06 23:56:48,946:INFO:Initializing load_model()
  29258. 2022-04-06 23:56:48,947:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  29259. 2022-04-07 00:12:29,024:INFO:Initializing predict_model()
  29260. 2022-04-07 00:12:29,027:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29261. DataTypes_Auto_infer(ml_usecase='classification',
  29262. target='label')),
  29263. ('imputer',
  29264. Simple_Imputer(categorical_strategy='not_available',
  29265. fill_value_categorical=None,
  29266. fill_value_numerical=None,
  29267. numeric_strategy='mean',
  29268. target_variable=None)),
  29269. ('new_levels1',
  29270. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29271. 'frequent',
  29272. targe...
  29273. gamma=0, gpu_id=0, importance_type=None,
  29274. interaction_constraints='', learning_rate=0.05,
  29275. max_delta_step=0, max_depth=64, max_leaves=4096,
  29276. min_child_weight=1, missing=nan,
  29277. monotone_constraints='()', n_estimators=100,
  29278. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29279. random_state=6597, reg_alpha=0, reg_lambda=1,
  29280. scale_pos_weight=1, subsample=1,
  29281. tree_method='gpu_hist', validate_parameters=1,
  29282. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29283. 2022-04-07 00:12:29,027:INFO:Checking exceptions
  29284. 2022-04-07 00:12:29,028:INFO:Preloading libraries
  29285. 2022-04-07 00:12:29,192:INFO:Initializing predict_model()
  29286. 2022-04-07 00:12:29,193:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29287. DataTypes_Auto_infer(ml_usecase='classification',
  29288. target='label')),
  29289. ('imputer',
  29290. Simple_Imputer(categorical_strategy='not_available',
  29291. fill_value_categorical=None,
  29292. fill_value_numerical=None,
  29293. numeric_strategy='mean',
  29294. target_variable=None)),
  29295. ('new_levels1',
  29296. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29297. 'frequent',
  29298. targe...
  29299. gamma=0, gpu_id=0, importance_type=None,
  29300. interaction_constraints='', learning_rate=0.05,
  29301. max_delta_step=0, max_depth=64, max_leaves=4096,
  29302. min_child_weight=1, missing=nan,
  29303. monotone_constraints='()', n_estimators=100,
  29304. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29305. random_state=6597, reg_alpha=0, reg_lambda=1,
  29306. scale_pos_weight=1, subsample=1,
  29307. tree_method='gpu_hist', validate_parameters=1,
  29308. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29309. 2022-04-07 00:12:29,193:INFO:Checking exceptions
  29310. 2022-04-07 00:12:29,193:INFO:Preloading libraries
  29311. 2022-04-07 00:12:29,360:INFO:Initializing predict_model()
  29312. 2022-04-07 00:12:29,361:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29313. DataTypes_Auto_infer(ml_usecase='classification',
  29314. target='label')),
  29315. ('imputer',
  29316. Simple_Imputer(categorical_strategy='not_available',
  29317. fill_value_categorical=None,
  29318. fill_value_numerical=None,
  29319. numeric_strategy='mean',
  29320. target_variable=None)),
  29321. ('new_levels1',
  29322. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29323. 'frequent',
  29324. targe...
  29325. gamma=0, gpu_id=0, importance_type=None,
  29326. interaction_constraints='', learning_rate=0.05,
  29327. max_delta_step=0, max_depth=64, max_leaves=4096,
  29328. min_child_weight=1, missing=nan,
  29329. monotone_constraints='()', n_estimators=100,
  29330. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29331. random_state=6597, reg_alpha=0, reg_lambda=1,
  29332. scale_pos_weight=1, subsample=1,
  29333. tree_method='gpu_hist', validate_parameters=1,
  29334. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29335. 2022-04-07 00:12:29,361:INFO:Checking exceptions
  29336. 2022-04-07 00:12:29,361:INFO:Preloading libraries
  29337. 2022-04-07 00:12:29,527:INFO:Initializing predict_model()
  29338. 2022-04-07 00:12:29,530:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29339. DataTypes_Auto_infer(ml_usecase='classification',
  29340. target='label')),
  29341. ('imputer',
  29342. Simple_Imputer(categorical_strategy='not_available',
  29343. fill_value_categorical=None,
  29344. fill_value_numerical=None,
  29345. numeric_strategy='mean',
  29346. target_variable=None)),
  29347. ('new_levels1',
  29348. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29349. 'frequent',
  29350. targe...
  29351. gamma=0, gpu_id=0, importance_type=None,
  29352. interaction_constraints='', learning_rate=0.05,
  29353. max_delta_step=0, max_depth=64, max_leaves=4096,
  29354. min_child_weight=1, missing=nan,
  29355. monotone_constraints='()', n_estimators=100,
  29356. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29357. random_state=6597, reg_alpha=0, reg_lambda=1,
  29358. scale_pos_weight=1, subsample=1,
  29359. tree_method='gpu_hist', validate_parameters=1,
  29360. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29361. 2022-04-07 00:12:29,532:INFO:Checking exceptions
  29362. 2022-04-07 00:12:29,533:INFO:Preloading libraries
  29363. 2022-04-07 00:12:29,696:INFO:Initializing predict_model()
  29364. 2022-04-07 00:12:29,697:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29365. DataTypes_Auto_infer(ml_usecase='classification',
  29366. target='label')),
  29367. ('imputer',
  29368. Simple_Imputer(categorical_strategy='not_available',
  29369. fill_value_categorical=None,
  29370. fill_value_numerical=None,
  29371. numeric_strategy='mean',
  29372. target_variable=None)),
  29373. ('new_levels1',
  29374. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29375. 'frequent',
  29376. targe...
  29377. gamma=0, gpu_id=0, importance_type=None,
  29378. interaction_constraints='', learning_rate=0.05,
  29379. max_delta_step=0, max_depth=64, max_leaves=4096,
  29380. min_child_weight=1, missing=nan,
  29381. monotone_constraints='()', n_estimators=100,
  29382. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29383. random_state=6597, reg_alpha=0, reg_lambda=1,
  29384. scale_pos_weight=1, subsample=1,
  29385. tree_method='gpu_hist', validate_parameters=1,
  29386. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29387. 2022-04-07 00:12:29,697:INFO:Checking exceptions
  29388. 2022-04-07 00:12:29,697:INFO:Preloading libraries
  29389. 2022-04-07 00:12:29,866:INFO:Initializing predict_model()
  29390. 2022-04-07 00:12:29,867:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29391. DataTypes_Auto_infer(ml_usecase='classification',
  29392. target='label')),
  29393. ('imputer',
  29394. Simple_Imputer(categorical_strategy='not_available',
  29395. fill_value_categorical=None,
  29396. fill_value_numerical=None,
  29397. numeric_strategy='mean',
  29398. target_variable=None)),
  29399. ('new_levels1',
  29400. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29401. 'frequent',
  29402. targe...
  29403. gamma=0, gpu_id=0, importance_type=None,
  29404. interaction_constraints='', learning_rate=0.05,
  29405. max_delta_step=0, max_depth=64, max_leaves=4096,
  29406. min_child_weight=1, missing=nan,
  29407. monotone_constraints='()', n_estimators=100,
  29408. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29409. random_state=6597, reg_alpha=0, reg_lambda=1,
  29410. scale_pos_weight=1, subsample=1,
  29411. tree_method='gpu_hist', validate_parameters=1,
  29412. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29413. 2022-04-07 00:12:29,867:INFO:Checking exceptions
  29414. 2022-04-07 00:12:29,867:INFO:Preloading libraries
  29415. 2022-04-07 00:12:30,042:INFO:Initializing predict_model()
  29416. 2022-04-07 00:12:30,043:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29417. DataTypes_Auto_infer(ml_usecase='classification',
  29418. target='label')),
  29419. ('imputer',
  29420. Simple_Imputer(categorical_strategy='not_available',
  29421. fill_value_categorical=None,
  29422. fill_value_numerical=None,
  29423. numeric_strategy='mean',
  29424. target_variable=None)),
  29425. ('new_levels1',
  29426. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29427. 'frequent',
  29428. targe...
  29429. gamma=0, gpu_id=0, importance_type=None,
  29430. interaction_constraints='', learning_rate=0.05,
  29431. max_delta_step=0, max_depth=64, max_leaves=4096,
  29432. min_child_weight=1, missing=nan,
  29433. monotone_constraints='()', n_estimators=100,
  29434. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29435. random_state=6597, reg_alpha=0, reg_lambda=1,
  29436. scale_pos_weight=1, subsample=1,
  29437. tree_method='gpu_hist', validate_parameters=1,
  29438. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29439. 2022-04-07 00:12:30,044:INFO:Checking exceptions
  29440. 2022-04-07 00:12:30,044:INFO:Preloading libraries
  29441. 2022-04-07 00:12:30,237:INFO:Initializing predict_model()
  29442. 2022-04-07 00:12:30,238:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29443. DataTypes_Auto_infer(ml_usecase='classification',
  29444. target='label')),
  29445. ('imputer',
  29446. Simple_Imputer(categorical_strategy='not_available',
  29447. fill_value_categorical=None,
  29448. fill_value_numerical=None,
  29449. numeric_strategy='mean',
  29450. target_variable=None)),
  29451. ('new_levels1',
  29452. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29453. 'frequent',
  29454. targe...
  29455. gamma=0, gpu_id=0, importance_type=None,
  29456. interaction_constraints='', learning_rate=0.05,
  29457. max_delta_step=0, max_depth=64, max_leaves=4096,
  29458. min_child_weight=1, missing=nan,
  29459. monotone_constraints='()', n_estimators=100,
  29460. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29461. random_state=6597, reg_alpha=0, reg_lambda=1,
  29462. scale_pos_weight=1, subsample=1,
  29463. tree_method='gpu_hist', validate_parameters=1,
  29464. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29465. 2022-04-07 00:12:30,238:INFO:Checking exceptions
  29466. 2022-04-07 00:12:30,239:INFO:Preloading libraries
  29467. 2022-04-07 00:12:30,443:INFO:Initializing predict_model()
  29468. 2022-04-07 00:12:30,444:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29469. DataTypes_Auto_infer(ml_usecase='classification',
  29470. target='label')),
  29471. ('imputer',
  29472. Simple_Imputer(categorical_strategy='not_available',
  29473. fill_value_categorical=None,
  29474. fill_value_numerical=None,
  29475. numeric_strategy='mean',
  29476. target_variable=None)),
  29477. ('new_levels1',
  29478. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29479. 'frequent',
  29480. targe...
  29481. gamma=0, gpu_id=0, importance_type=None,
  29482. interaction_constraints='', learning_rate=0.05,
  29483. max_delta_step=0, max_depth=64, max_leaves=4096,
  29484. min_child_weight=1, missing=nan,
  29485. monotone_constraints='()', n_estimators=100,
  29486. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29487. random_state=6597, reg_alpha=0, reg_lambda=1,
  29488. scale_pos_weight=1, subsample=1,
  29489. tree_method='gpu_hist', validate_parameters=1,
  29490. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29491. 2022-04-07 00:12:30,444:INFO:Checking exceptions
  29492. 2022-04-07 00:12:30,445:INFO:Preloading libraries
  29493. 2022-04-07 00:12:30,704:INFO:Initializing predict_model()
  29494. 2022-04-07 00:12:30,705:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29495. DataTypes_Auto_infer(ml_usecase='classification',
  29496. target='label')),
  29497. ('imputer',
  29498. Simple_Imputer(categorical_strategy='not_available',
  29499. fill_value_categorical=None,
  29500. fill_value_numerical=None,
  29501. numeric_strategy='mean',
  29502. target_variable=None)),
  29503. ('new_levels1',
  29504. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29505. 'frequent',
  29506. targe...
  29507. gamma=0, gpu_id=0, importance_type=None,
  29508. interaction_constraints='', learning_rate=0.05,
  29509. max_delta_step=0, max_depth=64, max_leaves=4096,
  29510. min_child_weight=1, missing=nan,
  29511. monotone_constraints='()', n_estimators=100,
  29512. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29513. random_state=6597, reg_alpha=0, reg_lambda=1,
  29514. scale_pos_weight=1, subsample=1,
  29515. tree_method='gpu_hist', validate_parameters=1,
  29516. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29517. 2022-04-07 00:12:30,705:INFO:Checking exceptions
  29518. 2022-04-07 00:12:30,705:INFO:Preloading libraries
  29519. 2022-04-07 00:12:30,909:INFO:Initializing predict_model()
  29520. 2022-04-07 00:12:30,911:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29521. DataTypes_Auto_infer(ml_usecase='classification',
  29522. target='label')),
  29523. ('imputer',
  29524. Simple_Imputer(categorical_strategy='not_available',
  29525. fill_value_categorical=None,
  29526. fill_value_numerical=None,
  29527. numeric_strategy='mean',
  29528. target_variable=None)),
  29529. ('new_levels1',
  29530. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29531. 'frequent',
  29532. targe...
  29533. gamma=0, gpu_id=0, importance_type=None,
  29534. interaction_constraints='', learning_rate=0.05,
  29535. max_delta_step=0, max_depth=64, max_leaves=4096,
  29536. min_child_weight=1, missing=nan,
  29537. monotone_constraints='()', n_estimators=100,
  29538. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29539. random_state=6597, reg_alpha=0, reg_lambda=1,
  29540. scale_pos_weight=1, subsample=1,
  29541. tree_method='gpu_hist', validate_parameters=1,
  29542. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29543. 2022-04-07 00:12:30,911:INFO:Checking exceptions
  29544. 2022-04-07 00:12:30,911:INFO:Preloading libraries
  29545. 2022-04-07 00:12:31,072:INFO:Initializing predict_model()
  29546. 2022-04-07 00:12:31,073:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29547. DataTypes_Auto_infer(ml_usecase='classification',
  29548. target='label')),
  29549. ('imputer',
  29550. Simple_Imputer(categorical_strategy='not_available',
  29551. fill_value_categorical=None,
  29552. fill_value_numerical=None,
  29553. numeric_strategy='mean',
  29554. target_variable=None)),
  29555. ('new_levels1',
  29556. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29557. 'frequent',
  29558. targe...
  29559. gamma=0, gpu_id=0, importance_type=None,
  29560. interaction_constraints='', learning_rate=0.05,
  29561. max_delta_step=0, max_depth=64, max_leaves=4096,
  29562. min_child_weight=1, missing=nan,
  29563. monotone_constraints='()', n_estimators=100,
  29564. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29565. random_state=6597, reg_alpha=0, reg_lambda=1,
  29566. scale_pos_weight=1, subsample=1,
  29567. tree_method='gpu_hist', validate_parameters=1,
  29568. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29569. 2022-04-07 00:12:31,073:INFO:Checking exceptions
  29570. 2022-04-07 00:12:31,073:INFO:Preloading libraries
  29571. 2022-04-07 00:12:31,242:INFO:Initializing predict_model()
  29572. 2022-04-07 00:12:31,243:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29573. DataTypes_Auto_infer(ml_usecase='classification',
  29574. target='label')),
  29575. ('imputer',
  29576. Simple_Imputer(categorical_strategy='not_available',
  29577. fill_value_categorical=None,
  29578. fill_value_numerical=None,
  29579. numeric_strategy='mean',
  29580. target_variable=None)),
  29581. ('new_levels1',
  29582. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29583. 'frequent',
  29584. targe...
  29585. gamma=0, gpu_id=0, importance_type=None,
  29586. interaction_constraints='', learning_rate=0.05,
  29587. max_delta_step=0, max_depth=64, max_leaves=4096,
  29588. min_child_weight=1, missing=nan,
  29589. monotone_constraints='()', n_estimators=100,
  29590. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29591. random_state=6597, reg_alpha=0, reg_lambda=1,
  29592. scale_pos_weight=1, subsample=1,
  29593. tree_method='gpu_hist', validate_parameters=1,
  29594. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29595. 2022-04-07 00:12:31,244:INFO:Checking exceptions
  29596. 2022-04-07 00:12:31,244:INFO:Preloading libraries
  29597. 2022-04-07 00:12:31,408:INFO:Initializing predict_model()
  29598. 2022-04-07 00:12:31,409:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29599. DataTypes_Auto_infer(ml_usecase='classification',
  29600. target='label')),
  29601. ('imputer',
  29602. Simple_Imputer(categorical_strategy='not_available',
  29603. fill_value_categorical=None,
  29604. fill_value_numerical=None,
  29605. numeric_strategy='mean',
  29606. target_variable=None)),
  29607. ('new_levels1',
  29608. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29609. 'frequent',
  29610. targe...
  29611. gamma=0, gpu_id=0, importance_type=None,
  29612. interaction_constraints='', learning_rate=0.05,
  29613. max_delta_step=0, max_depth=64, max_leaves=4096,
  29614. min_child_weight=1, missing=nan,
  29615. monotone_constraints='()', n_estimators=100,
  29616. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29617. random_state=6597, reg_alpha=0, reg_lambda=1,
  29618. scale_pos_weight=1, subsample=1,
  29619. tree_method='gpu_hist', validate_parameters=1,
  29620. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29621. 2022-04-07 00:12:31,409:INFO:Checking exceptions
  29622. 2022-04-07 00:12:31,410:INFO:Preloading libraries
  29623. 2022-04-07 00:12:31,576:INFO:Initializing predict_model()
  29624. 2022-04-07 00:12:31,576:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29625. DataTypes_Auto_infer(ml_usecase='classification',
  29626. target='label')),
  29627. ('imputer',
  29628. Simple_Imputer(categorical_strategy='not_available',
  29629. fill_value_categorical=None,
  29630. fill_value_numerical=None,
  29631. numeric_strategy='mean',
  29632. target_variable=None)),
  29633. ('new_levels1',
  29634. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29635. 'frequent',
  29636. targe...
  29637. gamma=0, gpu_id=0, importance_type=None,
  29638. interaction_constraints='', learning_rate=0.05,
  29639. max_delta_step=0, max_depth=64, max_leaves=4096,
  29640. min_child_weight=1, missing=nan,
  29641. monotone_constraints='()', n_estimators=100,
  29642. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29643. random_state=6597, reg_alpha=0, reg_lambda=1,
  29644. scale_pos_weight=1, subsample=1,
  29645. tree_method='gpu_hist', validate_parameters=1,
  29646. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29647. 2022-04-07 00:12:31,577:INFO:Checking exceptions
  29648. 2022-04-07 00:12:31,577:INFO:Preloading libraries
  29649. 2022-04-07 00:12:31,750:INFO:Initializing predict_model()
  29650. 2022-04-07 00:12:31,751:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29651. DataTypes_Auto_infer(ml_usecase='classification',
  29652. target='label')),
  29653. ('imputer',
  29654. Simple_Imputer(categorical_strategy='not_available',
  29655. fill_value_categorical=None,
  29656. fill_value_numerical=None,
  29657. numeric_strategy='mean',
  29658. target_variable=None)),
  29659. ('new_levels1',
  29660. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29661. 'frequent',
  29662. targe...
  29663. gamma=0, gpu_id=0, importance_type=None,
  29664. interaction_constraints='', learning_rate=0.05,
  29665. max_delta_step=0, max_depth=64, max_leaves=4096,
  29666. min_child_weight=1, missing=nan,
  29667. monotone_constraints='()', n_estimators=100,
  29668. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29669. random_state=6597, reg_alpha=0, reg_lambda=1,
  29670. scale_pos_weight=1, subsample=1,
  29671. tree_method='gpu_hist', validate_parameters=1,
  29672. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29673. 2022-04-07 00:12:31,751:INFO:Checking exceptions
  29674. 2022-04-07 00:12:31,752:INFO:Preloading libraries
  29675. 2022-04-07 00:12:31,914:INFO:Initializing predict_model()
  29676. 2022-04-07 00:12:31,915:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29677. DataTypes_Auto_infer(ml_usecase='classification',
  29678. target='label')),
  29679. ('imputer',
  29680. Simple_Imputer(categorical_strategy='not_available',
  29681. fill_value_categorical=None,
  29682. fill_value_numerical=None,
  29683. numeric_strategy='mean',
  29684. target_variable=None)),
  29685. ('new_levels1',
  29686. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29687. 'frequent',
  29688. targe...
  29689. gamma=0, gpu_id=0, importance_type=None,
  29690. interaction_constraints='', learning_rate=0.05,
  29691. max_delta_step=0, max_depth=64, max_leaves=4096,
  29692. min_child_weight=1, missing=nan,
  29693. monotone_constraints='()', n_estimators=100,
  29694. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29695. random_state=6597, reg_alpha=0, reg_lambda=1,
  29696. scale_pos_weight=1, subsample=1,
  29697. tree_method='gpu_hist', validate_parameters=1,
  29698. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29699. 2022-04-07 00:12:31,915:INFO:Checking exceptions
  29700. 2022-04-07 00:12:31,916:INFO:Preloading libraries
  29701. 2022-04-07 00:12:32,081:INFO:Initializing predict_model()
  29702. 2022-04-07 00:12:32,088:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29703. DataTypes_Auto_infer(ml_usecase='classification',
  29704. target='label')),
  29705. ('imputer',
  29706. Simple_Imputer(categorical_strategy='not_available',
  29707. fill_value_categorical=None,
  29708. fill_value_numerical=None,
  29709. numeric_strategy='mean',
  29710. target_variable=None)),
  29711. ('new_levels1',
  29712. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29713. 'frequent',
  29714. targe...
  29715. gamma=0, gpu_id=0, importance_type=None,
  29716. interaction_constraints='', learning_rate=0.05,
  29717. max_delta_step=0, max_depth=64, max_leaves=4096,
  29718. min_child_weight=1, missing=nan,
  29719. monotone_constraints='()', n_estimators=100,
  29720. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29721. random_state=6597, reg_alpha=0, reg_lambda=1,
  29722. scale_pos_weight=1, subsample=1,
  29723. tree_method='gpu_hist', validate_parameters=1,
  29724. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29725. 2022-04-07 00:12:32,089:INFO:Checking exceptions
  29726. 2022-04-07 00:12:32,089:INFO:Preloading libraries
  29727. 2022-04-07 00:12:32,260:INFO:Initializing predict_model()
  29728. 2022-04-07 00:12:32,261:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29729. DataTypes_Auto_infer(ml_usecase='classification',
  29730. target='label')),
  29731. ('imputer',
  29732. Simple_Imputer(categorical_strategy='not_available',
  29733. fill_value_categorical=None,
  29734. fill_value_numerical=None,
  29735. numeric_strategy='mean',
  29736. target_variable=None)),
  29737. ('new_levels1',
  29738. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29739. 'frequent',
  29740. targe...
  29741. gamma=0, gpu_id=0, importance_type=None,
  29742. interaction_constraints='', learning_rate=0.05,
  29743. max_delta_step=0, max_depth=64, max_leaves=4096,
  29744. min_child_weight=1, missing=nan,
  29745. monotone_constraints='()', n_estimators=100,
  29746. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29747. random_state=6597, reg_alpha=0, reg_lambda=1,
  29748. scale_pos_weight=1, subsample=1,
  29749. tree_method='gpu_hist', validate_parameters=1,
  29750. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29751. 2022-04-07 00:12:32,261:INFO:Checking exceptions
  29752. 2022-04-07 00:12:32,262:INFO:Preloading libraries
  29753. 2022-04-07 00:12:32,426:INFO:Initializing predict_model()
  29754. 2022-04-07 00:12:32,427:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29755. DataTypes_Auto_infer(ml_usecase='classification',
  29756. target='label')),
  29757. ('imputer',
  29758. Simple_Imputer(categorical_strategy='not_available',
  29759. fill_value_categorical=None,
  29760. fill_value_numerical=None,
  29761. numeric_strategy='mean',
  29762. target_variable=None)),
  29763. ('new_levels1',
  29764. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29765. 'frequent',
  29766. targe...
  29767. gamma=0, gpu_id=0, importance_type=None,
  29768. interaction_constraints='', learning_rate=0.05,
  29769. max_delta_step=0, max_depth=64, max_leaves=4096,
  29770. min_child_weight=1, missing=nan,
  29771. monotone_constraints='()', n_estimators=100,
  29772. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29773. random_state=6597, reg_alpha=0, reg_lambda=1,
  29774. scale_pos_weight=1, subsample=1,
  29775. tree_method='gpu_hist', validate_parameters=1,
  29776. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29777. 2022-04-07 00:12:32,428:INFO:Checking exceptions
  29778. 2022-04-07 00:12:32,428:INFO:Preloading libraries
  29779. 2022-04-07 00:13:42,318:INFO:Initializing predict_model()
  29780. 2022-04-07 00:13:42,319:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29781. DataTypes_Auto_infer(ml_usecase='classification',
  29782. target='label')),
  29783. ('imputer',
  29784. Simple_Imputer(categorical_strategy='not_available',
  29785. fill_value_categorical=None,
  29786. fill_value_numerical=None,
  29787. numeric_strategy='mean',
  29788. target_variable=None)),
  29789. ('new_levels1',
  29790. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29791. 'frequent',
  29792. targe...
  29793. gamma=0, gpu_id=0, importance_type=None,
  29794. interaction_constraints='', learning_rate=0.05,
  29795. max_delta_step=0, max_depth=64, max_leaves=4096,
  29796. min_child_weight=1, missing=nan,
  29797. monotone_constraints='()', n_estimators=100,
  29798. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29799. random_state=6597, reg_alpha=0, reg_lambda=1,
  29800. scale_pos_weight=1, subsample=1,
  29801. tree_method='gpu_hist', validate_parameters=1,
  29802. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29803. 2022-04-07 00:13:42,319:INFO:Checking exceptions
  29804. 2022-04-07 00:13:42,320:INFO:Preloading libraries
  29805. 2022-04-07 00:13:42,551:INFO:Initializing predict_model()
  29806. 2022-04-07 00:13:42,552:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29807. DataTypes_Auto_infer(ml_usecase='classification',
  29808. target='label')),
  29809. ('imputer',
  29810. Simple_Imputer(categorical_strategy='not_available',
  29811. fill_value_categorical=None,
  29812. fill_value_numerical=None,
  29813. numeric_strategy='mean',
  29814. target_variable=None)),
  29815. ('new_levels1',
  29816. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29817. 'frequent',
  29818. targe...
  29819. gamma=0, gpu_id=0, importance_type=None,
  29820. interaction_constraints='', learning_rate=0.05,
  29821. max_delta_step=0, max_depth=64, max_leaves=4096,
  29822. min_child_weight=1, missing=nan,
  29823. monotone_constraints='()', n_estimators=100,
  29824. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29825. random_state=6597, reg_alpha=0, reg_lambda=1,
  29826. scale_pos_weight=1, subsample=1,
  29827. tree_method='gpu_hist', validate_parameters=1,
  29828. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29829. 2022-04-07 00:13:42,552:INFO:Checking exceptions
  29830. 2022-04-07 00:13:42,552:INFO:Preloading libraries
  29831. 2022-04-07 00:13:42,772:INFO:Initializing predict_model()
  29832. 2022-04-07 00:13:42,772:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29833. DataTypes_Auto_infer(ml_usecase='classification',
  29834. target='label')),
  29835. ('imputer',
  29836. Simple_Imputer(categorical_strategy='not_available',
  29837. fill_value_categorical=None,
  29838. fill_value_numerical=None,
  29839. numeric_strategy='mean',
  29840. target_variable=None)),
  29841. ('new_levels1',
  29842. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29843. 'frequent',
  29844. targe...
  29845. gamma=0, gpu_id=0, importance_type=None,
  29846. interaction_constraints='', learning_rate=0.05,
  29847. max_delta_step=0, max_depth=64, max_leaves=4096,
  29848. min_child_weight=1, missing=nan,
  29849. monotone_constraints='()', n_estimators=100,
  29850. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29851. random_state=6597, reg_alpha=0, reg_lambda=1,
  29852. scale_pos_weight=1, subsample=1,
  29853. tree_method='gpu_hist', validate_parameters=1,
  29854. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29855. 2022-04-07 00:13:42,773:INFO:Checking exceptions
  29856. 2022-04-07 00:13:42,773:INFO:Preloading libraries
  29857. 2022-04-07 00:13:42,927:INFO:Initializing predict_model()
  29858. 2022-04-07 00:13:42,928:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29859. DataTypes_Auto_infer(ml_usecase='classification',
  29860. target='label')),
  29861. ('imputer',
  29862. Simple_Imputer(categorical_strategy='not_available',
  29863. fill_value_categorical=None,
  29864. fill_value_numerical=None,
  29865. numeric_strategy='mean',
  29866. target_variable=None)),
  29867. ('new_levels1',
  29868. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29869. 'frequent',
  29870. targe...
  29871. gamma=0, gpu_id=0, importance_type=None,
  29872. interaction_constraints='', learning_rate=0.05,
  29873. max_delta_step=0, max_depth=64, max_leaves=4096,
  29874. min_child_weight=1, missing=nan,
  29875. monotone_constraints='()', n_estimators=100,
  29876. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29877. random_state=6597, reg_alpha=0, reg_lambda=1,
  29878. scale_pos_weight=1, subsample=1,
  29879. tree_method='gpu_hist', validate_parameters=1,
  29880. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29881. 2022-04-07 00:13:42,929:INFO:Checking exceptions
  29882. 2022-04-07 00:13:42,929:INFO:Preloading libraries
  29883. 2022-04-07 00:13:43,078:INFO:Initializing predict_model()
  29884. 2022-04-07 00:13:43,079:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29885. DataTypes_Auto_infer(ml_usecase='classification',
  29886. target='label')),
  29887. ('imputer',
  29888. Simple_Imputer(categorical_strategy='not_available',
  29889. fill_value_categorical=None,
  29890. fill_value_numerical=None,
  29891. numeric_strategy='mean',
  29892. target_variable=None)),
  29893. ('new_levels1',
  29894. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29895. 'frequent',
  29896. targe...
  29897. gamma=0, gpu_id=0, importance_type=None,
  29898. interaction_constraints='', learning_rate=0.05,
  29899. max_delta_step=0, max_depth=64, max_leaves=4096,
  29900. min_child_weight=1, missing=nan,
  29901. monotone_constraints='()', n_estimators=100,
  29902. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29903. random_state=6597, reg_alpha=0, reg_lambda=1,
  29904. scale_pos_weight=1, subsample=1,
  29905. tree_method='gpu_hist', validate_parameters=1,
  29906. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29907. 2022-04-07 00:13:43,079:INFO:Checking exceptions
  29908. 2022-04-07 00:13:43,080:INFO:Preloading libraries
  29909. 2022-04-07 00:13:43,234:INFO:Initializing predict_model()
  29910. 2022-04-07 00:13:43,234:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29911. DataTypes_Auto_infer(ml_usecase='classification',
  29912. target='label')),
  29913. ('imputer',
  29914. Simple_Imputer(categorical_strategy='not_available',
  29915. fill_value_categorical=None,
  29916. fill_value_numerical=None,
  29917. numeric_strategy='mean',
  29918. target_variable=None)),
  29919. ('new_levels1',
  29920. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29921. 'frequent',
  29922. targe...
  29923. gamma=0, gpu_id=0, importance_type=None,
  29924. interaction_constraints='', learning_rate=0.05,
  29925. max_delta_step=0, max_depth=64, max_leaves=4096,
  29926. min_child_weight=1, missing=nan,
  29927. monotone_constraints='()', n_estimators=100,
  29928. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29929. random_state=6597, reg_alpha=0, reg_lambda=1,
  29930. scale_pos_weight=1, subsample=1,
  29931. tree_method='gpu_hist', validate_parameters=1,
  29932. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29933. 2022-04-07 00:13:43,235:INFO:Checking exceptions
  29934. 2022-04-07 00:13:43,235:INFO:Preloading libraries
  29935. 2022-04-07 00:13:43,390:INFO:Initializing predict_model()
  29936. 2022-04-07 00:13:43,391:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29937. DataTypes_Auto_infer(ml_usecase='classification',
  29938. target='label')),
  29939. ('imputer',
  29940. Simple_Imputer(categorical_strategy='not_available',
  29941. fill_value_categorical=None,
  29942. fill_value_numerical=None,
  29943. numeric_strategy='mean',
  29944. target_variable=None)),
  29945. ('new_levels1',
  29946. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29947. 'frequent',
  29948. targe...
  29949. gamma=0, gpu_id=0, importance_type=None,
  29950. interaction_constraints='', learning_rate=0.05,
  29951. max_delta_step=0, max_depth=64, max_leaves=4096,
  29952. min_child_weight=1, missing=nan,
  29953. monotone_constraints='()', n_estimators=100,
  29954. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29955. random_state=6597, reg_alpha=0, reg_lambda=1,
  29956. scale_pos_weight=1, subsample=1,
  29957. tree_method='gpu_hist', validate_parameters=1,
  29958. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29959. 2022-04-07 00:13:43,391:INFO:Checking exceptions
  29960. 2022-04-07 00:13:43,392:INFO:Preloading libraries
  29961. 2022-04-07 00:13:43,562:INFO:Initializing predict_model()
  29962. 2022-04-07 00:13:43,563:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29963. DataTypes_Auto_infer(ml_usecase='classification',
  29964. target='label')),
  29965. ('imputer',
  29966. Simple_Imputer(categorical_strategy='not_available',
  29967. fill_value_categorical=None,
  29968. fill_value_numerical=None,
  29969. numeric_strategy='mean',
  29970. target_variable=None)),
  29971. ('new_levels1',
  29972. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29973. 'frequent',
  29974. targe...
  29975. gamma=0, gpu_id=0, importance_type=None,
  29976. interaction_constraints='', learning_rate=0.05,
  29977. max_delta_step=0, max_depth=64, max_leaves=4096,
  29978. min_child_weight=1, missing=nan,
  29979. monotone_constraints='()', n_estimators=100,
  29980. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  29981. random_state=6597, reg_alpha=0, reg_lambda=1,
  29982. scale_pos_weight=1, subsample=1,
  29983. tree_method='gpu_hist', validate_parameters=1,
  29984. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  29985. 2022-04-07 00:13:43,564:INFO:Checking exceptions
  29986. 2022-04-07 00:13:43,564:INFO:Preloading libraries
  29987. 2022-04-07 00:13:43,725:INFO:Initializing predict_model()
  29988. 2022-04-07 00:13:43,726:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  29989. DataTypes_Auto_infer(ml_usecase='classification',
  29990. target='label')),
  29991. ('imputer',
  29992. Simple_Imputer(categorical_strategy='not_available',
  29993. fill_value_categorical=None,
  29994. fill_value_numerical=None,
  29995. numeric_strategy='mean',
  29996. target_variable=None)),
  29997. ('new_levels1',
  29998. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  29999. 'frequent',
  30000. targe...
  30001. gamma=0, gpu_id=0, importance_type=None,
  30002. interaction_constraints='', learning_rate=0.05,
  30003. max_delta_step=0, max_depth=64, max_leaves=4096,
  30004. min_child_weight=1, missing=nan,
  30005. monotone_constraints='()', n_estimators=100,
  30006. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30007. random_state=6597, reg_alpha=0, reg_lambda=1,
  30008. scale_pos_weight=1, subsample=1,
  30009. tree_method='gpu_hist', validate_parameters=1,
  30010. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30011. 2022-04-07 00:13:43,726:INFO:Checking exceptions
  30012. 2022-04-07 00:13:43,726:INFO:Preloading libraries
  30013. 2022-04-07 00:13:43,879:INFO:Initializing predict_model()
  30014. 2022-04-07 00:13:43,879:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30015. DataTypes_Auto_infer(ml_usecase='classification',
  30016. target='label')),
  30017. ('imputer',
  30018. Simple_Imputer(categorical_strategy='not_available',
  30019. fill_value_categorical=None,
  30020. fill_value_numerical=None,
  30021. numeric_strategy='mean',
  30022. target_variable=None)),
  30023. ('new_levels1',
  30024. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30025. 'frequent',
  30026. targe...
  30027. gamma=0, gpu_id=0, importance_type=None,
  30028. interaction_constraints='', learning_rate=0.05,
  30029. max_delta_step=0, max_depth=64, max_leaves=4096,
  30030. min_child_weight=1, missing=nan,
  30031. monotone_constraints='()', n_estimators=100,
  30032. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30033. random_state=6597, reg_alpha=0, reg_lambda=1,
  30034. scale_pos_weight=1, subsample=1,
  30035. tree_method='gpu_hist', validate_parameters=1,
  30036. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30037. 2022-04-07 00:13:43,880:INFO:Checking exceptions
  30038. 2022-04-07 00:13:43,880:INFO:Preloading libraries
  30039. 2022-04-07 00:13:44,060:INFO:Initializing predict_model()
  30040. 2022-04-07 00:13:44,061:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30041. DataTypes_Auto_infer(ml_usecase='classification',
  30042. target='label')),
  30043. ('imputer',
  30044. Simple_Imputer(categorical_strategy='not_available',
  30045. fill_value_categorical=None,
  30046. fill_value_numerical=None,
  30047. numeric_strategy='mean',
  30048. target_variable=None)),
  30049. ('new_levels1',
  30050. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30051. 'frequent',
  30052. targe...
  30053. gamma=0, gpu_id=0, importance_type=None,
  30054. interaction_constraints='', learning_rate=0.05,
  30055. max_delta_step=0, max_depth=64, max_leaves=4096,
  30056. min_child_weight=1, missing=nan,
  30057. monotone_constraints='()', n_estimators=100,
  30058. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30059. random_state=6597, reg_alpha=0, reg_lambda=1,
  30060. scale_pos_weight=1, subsample=1,
  30061. tree_method='gpu_hist', validate_parameters=1,
  30062. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30063. 2022-04-07 00:13:44,061:INFO:Checking exceptions
  30064. 2022-04-07 00:13:44,062:INFO:Preloading libraries
  30065. 2022-04-07 00:13:44,246:INFO:Initializing predict_model()
  30066. 2022-04-07 00:13:44,247:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30067. DataTypes_Auto_infer(ml_usecase='classification',
  30068. target='label')),
  30069. ('imputer',
  30070. Simple_Imputer(categorical_strategy='not_available',
  30071. fill_value_categorical=None,
  30072. fill_value_numerical=None,
  30073. numeric_strategy='mean',
  30074. target_variable=None)),
  30075. ('new_levels1',
  30076. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30077. 'frequent',
  30078. targe...
  30079. gamma=0, gpu_id=0, importance_type=None,
  30080. interaction_constraints='', learning_rate=0.05,
  30081. max_delta_step=0, max_depth=64, max_leaves=4096,
  30082. min_child_weight=1, missing=nan,
  30083. monotone_constraints='()', n_estimators=100,
  30084. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30085. random_state=6597, reg_alpha=0, reg_lambda=1,
  30086. scale_pos_weight=1, subsample=1,
  30087. tree_method='gpu_hist', validate_parameters=1,
  30088. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30089. 2022-04-07 00:13:44,247:INFO:Checking exceptions
  30090. 2022-04-07 00:13:44,248:INFO:Preloading libraries
  30091. 2022-04-07 00:13:44,423:INFO:Initializing predict_model()
  30092. 2022-04-07 00:13:44,424:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30093. DataTypes_Auto_infer(ml_usecase='classification',
  30094. target='label')),
  30095. ('imputer',
  30096. Simple_Imputer(categorical_strategy='not_available',
  30097. fill_value_categorical=None,
  30098. fill_value_numerical=None,
  30099. numeric_strategy='mean',
  30100. target_variable=None)),
  30101. ('new_levels1',
  30102. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30103. 'frequent',
  30104. targe...
  30105. gamma=0, gpu_id=0, importance_type=None,
  30106. interaction_constraints='', learning_rate=0.05,
  30107. max_delta_step=0, max_depth=64, max_leaves=4096,
  30108. min_child_weight=1, missing=nan,
  30109. monotone_constraints='()', n_estimators=100,
  30110. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30111. random_state=6597, reg_alpha=0, reg_lambda=1,
  30112. scale_pos_weight=1, subsample=1,
  30113. tree_method='gpu_hist', validate_parameters=1,
  30114. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30115. 2022-04-07 00:13:44,424:INFO:Checking exceptions
  30116. 2022-04-07 00:13:44,425:INFO:Preloading libraries
  30117. 2022-04-07 00:13:44,616:INFO:Initializing predict_model()
  30118. 2022-04-07 00:13:44,617:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30119. DataTypes_Auto_infer(ml_usecase='classification',
  30120. target='label')),
  30121. ('imputer',
  30122. Simple_Imputer(categorical_strategy='not_available',
  30123. fill_value_categorical=None,
  30124. fill_value_numerical=None,
  30125. numeric_strategy='mean',
  30126. target_variable=None)),
  30127. ('new_levels1',
  30128. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30129. 'frequent',
  30130. targe...
  30131. gamma=0, gpu_id=0, importance_type=None,
  30132. interaction_constraints='', learning_rate=0.05,
  30133. max_delta_step=0, max_depth=64, max_leaves=4096,
  30134. min_child_weight=1, missing=nan,
  30135. monotone_constraints='()', n_estimators=100,
  30136. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30137. random_state=6597, reg_alpha=0, reg_lambda=1,
  30138. scale_pos_weight=1, subsample=1,
  30139. tree_method='gpu_hist', validate_parameters=1,
  30140. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30141. 2022-04-07 00:13:44,617:INFO:Checking exceptions
  30142. 2022-04-07 00:13:44,617:INFO:Preloading libraries
  30143. 2022-04-07 00:13:44,789:INFO:Initializing predict_model()
  30144. 2022-04-07 00:13:44,790:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30145. DataTypes_Auto_infer(ml_usecase='classification',
  30146. target='label')),
  30147. ('imputer',
  30148. Simple_Imputer(categorical_strategy='not_available',
  30149. fill_value_categorical=None,
  30150. fill_value_numerical=None,
  30151. numeric_strategy='mean',
  30152. target_variable=None)),
  30153. ('new_levels1',
  30154. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30155. 'frequent',
  30156. targe...
  30157. gamma=0, gpu_id=0, importance_type=None,
  30158. interaction_constraints='', learning_rate=0.05,
  30159. max_delta_step=0, max_depth=64, max_leaves=4096,
  30160. min_child_weight=1, missing=nan,
  30161. monotone_constraints='()', n_estimators=100,
  30162. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30163. random_state=6597, reg_alpha=0, reg_lambda=1,
  30164. scale_pos_weight=1, subsample=1,
  30165. tree_method='gpu_hist', validate_parameters=1,
  30166. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30167. 2022-04-07 00:13:44,790:INFO:Checking exceptions
  30168. 2022-04-07 00:13:44,791:INFO:Preloading libraries
  30169. 2022-04-07 00:13:44,964:INFO:Initializing predict_model()
  30170. 2022-04-07 00:13:44,965:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30171. DataTypes_Auto_infer(ml_usecase='classification',
  30172. target='label')),
  30173. ('imputer',
  30174. Simple_Imputer(categorical_strategy='not_available',
  30175. fill_value_categorical=None,
  30176. fill_value_numerical=None,
  30177. numeric_strategy='mean',
  30178. target_variable=None)),
  30179. ('new_levels1',
  30180. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30181. 'frequent',
  30182. targe...
  30183. gamma=0, gpu_id=0, importance_type=None,
  30184. interaction_constraints='', learning_rate=0.05,
  30185. max_delta_step=0, max_depth=64, max_leaves=4096,
  30186. min_child_weight=1, missing=nan,
  30187. monotone_constraints='()', n_estimators=100,
  30188. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30189. random_state=6597, reg_alpha=0, reg_lambda=1,
  30190. scale_pos_weight=1, subsample=1,
  30191. tree_method='gpu_hist', validate_parameters=1,
  30192. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30193. 2022-04-07 00:13:44,965:INFO:Checking exceptions
  30194. 2022-04-07 00:13:44,965:INFO:Preloading libraries
  30195. 2022-04-07 00:13:45,144:INFO:Initializing predict_model()
  30196. 2022-04-07 00:13:45,144:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30197. DataTypes_Auto_infer(ml_usecase='classification',
  30198. target='label')),
  30199. ('imputer',
  30200. Simple_Imputer(categorical_strategy='not_available',
  30201. fill_value_categorical=None,
  30202. fill_value_numerical=None,
  30203. numeric_strategy='mean',
  30204. target_variable=None)),
  30205. ('new_levels1',
  30206. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30207. 'frequent',
  30208. targe...
  30209. gamma=0, gpu_id=0, importance_type=None,
  30210. interaction_constraints='', learning_rate=0.05,
  30211. max_delta_step=0, max_depth=64, max_leaves=4096,
  30212. min_child_weight=1, missing=nan,
  30213. monotone_constraints='()', n_estimators=100,
  30214. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30215. random_state=6597, reg_alpha=0, reg_lambda=1,
  30216. scale_pos_weight=1, subsample=1,
  30217. tree_method='gpu_hist', validate_parameters=1,
  30218. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30219. 2022-04-07 00:13:45,145:INFO:Checking exceptions
  30220. 2022-04-07 00:13:45,145:INFO:Preloading libraries
  30221. 2022-04-07 00:13:45,315:INFO:Initializing predict_model()
  30222. 2022-04-07 00:13:45,316:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30223. DataTypes_Auto_infer(ml_usecase='classification',
  30224. target='label')),
  30225. ('imputer',
  30226. Simple_Imputer(categorical_strategy='not_available',
  30227. fill_value_categorical=None,
  30228. fill_value_numerical=None,
  30229. numeric_strategy='mean',
  30230. target_variable=None)),
  30231. ('new_levels1',
  30232. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30233. 'frequent',
  30234. targe...
  30235. gamma=0, gpu_id=0, importance_type=None,
  30236. interaction_constraints='', learning_rate=0.05,
  30237. max_delta_step=0, max_depth=64, max_leaves=4096,
  30238. min_child_weight=1, missing=nan,
  30239. monotone_constraints='()', n_estimators=100,
  30240. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30241. random_state=6597, reg_alpha=0, reg_lambda=1,
  30242. scale_pos_weight=1, subsample=1,
  30243. tree_method='gpu_hist', validate_parameters=1,
  30244. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30245. 2022-04-07 00:13:45,316:INFO:Checking exceptions
  30246. 2022-04-07 00:13:45,316:INFO:Preloading libraries
  30247. 2022-04-07 00:13:45,485:INFO:Initializing predict_model()
  30248. 2022-04-07 00:13:45,485:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30249. DataTypes_Auto_infer(ml_usecase='classification',
  30250. target='label')),
  30251. ('imputer',
  30252. Simple_Imputer(categorical_strategy='not_available',
  30253. fill_value_categorical=None,
  30254. fill_value_numerical=None,
  30255. numeric_strategy='mean',
  30256. target_variable=None)),
  30257. ('new_levels1',
  30258. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30259. 'frequent',
  30260. targe...
  30261. gamma=0, gpu_id=0, importance_type=None,
  30262. interaction_constraints='', learning_rate=0.05,
  30263. max_delta_step=0, max_depth=64, max_leaves=4096,
  30264. min_child_weight=1, missing=nan,
  30265. monotone_constraints='()', n_estimators=100,
  30266. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30267. random_state=6597, reg_alpha=0, reg_lambda=1,
  30268. scale_pos_weight=1, subsample=1,
  30269. tree_method='gpu_hist', validate_parameters=1,
  30270. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30271. 2022-04-07 00:13:45,486:INFO:Checking exceptions
  30272. 2022-04-07 00:13:45,486:INFO:Preloading libraries
  30273. 2022-04-07 00:13:45,672:INFO:Initializing predict_model()
  30274. 2022-04-07 00:13:45,673:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30275. DataTypes_Auto_infer(ml_usecase='classification',
  30276. target='label')),
  30277. ('imputer',
  30278. Simple_Imputer(categorical_strategy='not_available',
  30279. fill_value_categorical=None,
  30280. fill_value_numerical=None,
  30281. numeric_strategy='mean',
  30282. target_variable=None)),
  30283. ('new_levels1',
  30284. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30285. 'frequent',
  30286. targe...
  30287. gamma=0, gpu_id=0, importance_type=None,
  30288. interaction_constraints='', learning_rate=0.05,
  30289. max_delta_step=0, max_depth=64, max_leaves=4096,
  30290. min_child_weight=1, missing=nan,
  30291. monotone_constraints='()', n_estimators=100,
  30292. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30293. random_state=6597, reg_alpha=0, reg_lambda=1,
  30294. scale_pos_weight=1, subsample=1,
  30295. tree_method='gpu_hist', validate_parameters=1,
  30296. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30297. 2022-04-07 00:13:45,673:INFO:Checking exceptions
  30298. 2022-04-07 00:13:45,674:INFO:Preloading libraries
  30299. 2022-04-07 00:23:38,555:INFO:Initializing predict_model()
  30300. 2022-04-07 00:23:38,555:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30301. DataTypes_Auto_infer(ml_usecase='classification',
  30302. target='label')),
  30303. ('imputer',
  30304. Simple_Imputer(categorical_strategy='not_available',
  30305. fill_value_categorical=None,
  30306. fill_value_numerical=None,
  30307. numeric_strategy='mean',
  30308. target_variable=None)),
  30309. ('new_levels1',
  30310. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30311. 'frequent',
  30312. targe...
  30313. gamma=0, gpu_id=0, importance_type=None,
  30314. interaction_constraints='', learning_rate=0.05,
  30315. max_delta_step=0, max_depth=64, max_leaves=4096,
  30316. min_child_weight=1, missing=nan,
  30317. monotone_constraints='()', n_estimators=100,
  30318. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30319. random_state=6597, reg_alpha=0, reg_lambda=1,
  30320. scale_pos_weight=1, subsample=1,
  30321. tree_method='gpu_hist', validate_parameters=1,
  30322. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30323. 2022-04-07 00:23:38,556:INFO:Checking exceptions
  30324. 2022-04-07 00:23:38,556:INFO:Preloading libraries
  30325. 2022-04-07 00:23:39,461:INFO:Initializing predict_model()
  30326. 2022-04-07 00:23:39,462:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30327. DataTypes_Auto_infer(ml_usecase='classification',
  30328. target='label')),
  30329. ('imputer',
  30330. Simple_Imputer(categorical_strategy='not_available',
  30331. fill_value_categorical=None,
  30332. fill_value_numerical=None,
  30333. numeric_strategy='mean',
  30334. target_variable=None)),
  30335. ('new_levels1',
  30336. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30337. 'frequent',
  30338. targe...
  30339. gamma=0, gpu_id=0, importance_type=None,
  30340. interaction_constraints='', learning_rate=0.05,
  30341. max_delta_step=0, max_depth=64, max_leaves=4096,
  30342. min_child_weight=1, missing=nan,
  30343. monotone_constraints='()', n_estimators=100,
  30344. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30345. random_state=6597, reg_alpha=0, reg_lambda=1,
  30346. scale_pos_weight=1, subsample=1,
  30347. tree_method='gpu_hist', validate_parameters=1,
  30348. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30349. 2022-04-07 00:23:39,462:INFO:Checking exceptions
  30350. 2022-04-07 00:23:39,462:INFO:Preloading libraries
  30351. 2022-04-07 00:23:40,126:INFO:Initializing predict_model()
  30352. 2022-04-07 00:23:40,127:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30353. DataTypes_Auto_infer(ml_usecase='classification',
  30354. target='label')),
  30355. ('imputer',
  30356. Simple_Imputer(categorical_strategy='not_available',
  30357. fill_value_categorical=None,
  30358. fill_value_numerical=None,
  30359. numeric_strategy='mean',
  30360. target_variable=None)),
  30361. ('new_levels1',
  30362. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30363. 'frequent',
  30364. targe...
  30365. gamma=0, gpu_id=0, importance_type=None,
  30366. interaction_constraints='', learning_rate=0.05,
  30367. max_delta_step=0, max_depth=64, max_leaves=4096,
  30368. min_child_weight=1, missing=nan,
  30369. monotone_constraints='()', n_estimators=100,
  30370. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30371. random_state=6597, reg_alpha=0, reg_lambda=1,
  30372. scale_pos_weight=1, subsample=1,
  30373. tree_method='gpu_hist', validate_parameters=1,
  30374. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30375. 2022-04-07 00:23:40,127:INFO:Checking exceptions
  30376. 2022-04-07 00:23:40,128:INFO:Preloading libraries
  30377. 2022-04-07 00:23:40,776:INFO:Initializing predict_model()
  30378. 2022-04-07 00:23:40,776:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30379. DataTypes_Auto_infer(ml_usecase='classification',
  30380. target='label')),
  30381. ('imputer',
  30382. Simple_Imputer(categorical_strategy='not_available',
  30383. fill_value_categorical=None,
  30384. fill_value_numerical=None,
  30385. numeric_strategy='mean',
  30386. target_variable=None)),
  30387. ('new_levels1',
  30388. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30389. 'frequent',
  30390. targe...
  30391. gamma=0, gpu_id=0, importance_type=None,
  30392. interaction_constraints='', learning_rate=0.05,
  30393. max_delta_step=0, max_depth=64, max_leaves=4096,
  30394. min_child_weight=1, missing=nan,
  30395. monotone_constraints='()', n_estimators=100,
  30396. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30397. random_state=6597, reg_alpha=0, reg_lambda=1,
  30398. scale_pos_weight=1, subsample=1,
  30399. tree_method='gpu_hist', validate_parameters=1,
  30400. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30401. 2022-04-07 00:23:40,777:INFO:Checking exceptions
  30402. 2022-04-07 00:23:40,777:INFO:Preloading libraries
  30403. 2022-04-07 00:23:41,401:INFO:Initializing predict_model()
  30404. 2022-04-07 00:23:41,401:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30405. DataTypes_Auto_infer(ml_usecase='classification',
  30406. target='label')),
  30407. ('imputer',
  30408. Simple_Imputer(categorical_strategy='not_available',
  30409. fill_value_categorical=None,
  30410. fill_value_numerical=None,
  30411. numeric_strategy='mean',
  30412. target_variable=None)),
  30413. ('new_levels1',
  30414. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30415. 'frequent',
  30416. targe...
  30417. gamma=0, gpu_id=0, importance_type=None,
  30418. interaction_constraints='', learning_rate=0.05,
  30419. max_delta_step=0, max_depth=64, max_leaves=4096,
  30420. min_child_weight=1, missing=nan,
  30421. monotone_constraints='()', n_estimators=100,
  30422. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30423. random_state=6597, reg_alpha=0, reg_lambda=1,
  30424. scale_pos_weight=1, subsample=1,
  30425. tree_method='gpu_hist', validate_parameters=1,
  30426. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30427. 2022-04-07 00:23:41,402:INFO:Checking exceptions
  30428. 2022-04-07 00:23:41,402:INFO:Preloading libraries
  30429. 2022-04-07 00:23:42,004:INFO:Initializing predict_model()
  30430. 2022-04-07 00:23:42,015:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30431. DataTypes_Auto_infer(ml_usecase='classification',
  30432. target='label')),
  30433. ('imputer',
  30434. Simple_Imputer(categorical_strategy='not_available',
  30435. fill_value_categorical=None,
  30436. fill_value_numerical=None,
  30437. numeric_strategy='mean',
  30438. target_variable=None)),
  30439. ('new_levels1',
  30440. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30441. 'frequent',
  30442. targe...
  30443. gamma=0, gpu_id=0, importance_type=None,
  30444. interaction_constraints='', learning_rate=0.05,
  30445. max_delta_step=0, max_depth=64, max_leaves=4096,
  30446. min_child_weight=1, missing=nan,
  30447. monotone_constraints='()', n_estimators=100,
  30448. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30449. random_state=6597, reg_alpha=0, reg_lambda=1,
  30450. scale_pos_weight=1, subsample=1,
  30451. tree_method='gpu_hist', validate_parameters=1,
  30452. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30453. 2022-04-07 00:23:42,017:INFO:Checking exceptions
  30454. 2022-04-07 00:23:42,020:INFO:Preloading libraries
  30455. 2022-04-07 00:23:42,624:INFO:Initializing predict_model()
  30456. 2022-04-07 00:23:42,625:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30457. DataTypes_Auto_infer(ml_usecase='classification',
  30458. target='label')),
  30459. ('imputer',
  30460. Simple_Imputer(categorical_strategy='not_available',
  30461. fill_value_categorical=None,
  30462. fill_value_numerical=None,
  30463. numeric_strategy='mean',
  30464. target_variable=None)),
  30465. ('new_levels1',
  30466. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30467. 'frequent',
  30468. targe...
  30469. gamma=0, gpu_id=0, importance_type=None,
  30470. interaction_constraints='', learning_rate=0.05,
  30471. max_delta_step=0, max_depth=64, max_leaves=4096,
  30472. min_child_weight=1, missing=nan,
  30473. monotone_constraints='()', n_estimators=100,
  30474. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30475. random_state=6597, reg_alpha=0, reg_lambda=1,
  30476. scale_pos_weight=1, subsample=1,
  30477. tree_method='gpu_hist', validate_parameters=1,
  30478. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30479. 2022-04-07 00:23:42,625:INFO:Checking exceptions
  30480. 2022-04-07 00:23:42,625:INFO:Preloading libraries
  30481. 2022-04-07 00:23:43,337:INFO:Initializing predict_model()
  30482. 2022-04-07 00:23:43,338:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30483. DataTypes_Auto_infer(ml_usecase='classification',
  30484. target='label')),
  30485. ('imputer',
  30486. Simple_Imputer(categorical_strategy='not_available',
  30487. fill_value_categorical=None,
  30488. fill_value_numerical=None,
  30489. numeric_strategy='mean',
  30490. target_variable=None)),
  30491. ('new_levels1',
  30492. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30493. 'frequent',
  30494. targe...
  30495. gamma=0, gpu_id=0, importance_type=None,
  30496. interaction_constraints='', learning_rate=0.05,
  30497. max_delta_step=0, max_depth=64, max_leaves=4096,
  30498. min_child_weight=1, missing=nan,
  30499. monotone_constraints='()', n_estimators=100,
  30500. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30501. random_state=6597, reg_alpha=0, reg_lambda=1,
  30502. scale_pos_weight=1, subsample=1,
  30503. tree_method='gpu_hist', validate_parameters=1,
  30504. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30505. 2022-04-07 00:23:43,338:INFO:Checking exceptions
  30506. 2022-04-07 00:23:43,339:INFO:Preloading libraries
  30507. 2022-04-07 00:23:44,020:INFO:Initializing predict_model()
  30508. 2022-04-07 00:23:44,021:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30509. DataTypes_Auto_infer(ml_usecase='classification',
  30510. target='label')),
  30511. ('imputer',
  30512. Simple_Imputer(categorical_strategy='not_available',
  30513. fill_value_categorical=None,
  30514. fill_value_numerical=None,
  30515. numeric_strategy='mean',
  30516. target_variable=None)),
  30517. ('new_levels1',
  30518. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30519. 'frequent',
  30520. targe...
  30521. gamma=0, gpu_id=0, importance_type=None,
  30522. interaction_constraints='', learning_rate=0.05,
  30523. max_delta_step=0, max_depth=64, max_leaves=4096,
  30524. min_child_weight=1, missing=nan,
  30525. monotone_constraints='()', n_estimators=100,
  30526. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30527. random_state=6597, reg_alpha=0, reg_lambda=1,
  30528. scale_pos_weight=1, subsample=1,
  30529. tree_method='gpu_hist', validate_parameters=1,
  30530. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30531. 2022-04-07 00:23:44,021:INFO:Checking exceptions
  30532. 2022-04-07 00:23:44,021:INFO:Preloading libraries
  30533. 2022-04-07 00:23:44,670:INFO:Initializing predict_model()
  30534. 2022-04-07 00:23:44,671:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30535. DataTypes_Auto_infer(ml_usecase='classification',
  30536. target='label')),
  30537. ('imputer',
  30538. Simple_Imputer(categorical_strategy='not_available',
  30539. fill_value_categorical=None,
  30540. fill_value_numerical=None,
  30541. numeric_strategy='mean',
  30542. target_variable=None)),
  30543. ('new_levels1',
  30544. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30545. 'frequent',
  30546. targe...
  30547. gamma=0, gpu_id=0, importance_type=None,
  30548. interaction_constraints='', learning_rate=0.05,
  30549. max_delta_step=0, max_depth=64, max_leaves=4096,
  30550. min_child_weight=1, missing=nan,
  30551. monotone_constraints='()', n_estimators=100,
  30552. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30553. random_state=6597, reg_alpha=0, reg_lambda=1,
  30554. scale_pos_weight=1, subsample=1,
  30555. tree_method='gpu_hist', validate_parameters=1,
  30556. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30557. 2022-04-07 00:23:44,671:INFO:Checking exceptions
  30558. 2022-04-07 00:23:44,672:INFO:Preloading libraries
  30559. 2022-04-07 00:23:45,240:INFO:Initializing predict_model()
  30560. 2022-04-07 00:23:45,249:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30561. DataTypes_Auto_infer(ml_usecase='classification',
  30562. target='label')),
  30563. ('imputer',
  30564. Simple_Imputer(categorical_strategy='not_available',
  30565. fill_value_categorical=None,
  30566. fill_value_numerical=None,
  30567. numeric_strategy='mean',
  30568. target_variable=None)),
  30569. ('new_levels1',
  30570. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30571. 'frequent',
  30572. targe...
  30573. gamma=0, gpu_id=0, importance_type=None,
  30574. interaction_constraints='', learning_rate=0.05,
  30575. max_delta_step=0, max_depth=64, max_leaves=4096,
  30576. min_child_weight=1, missing=nan,
  30577. monotone_constraints='()', n_estimators=100,
  30578. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30579. random_state=6597, reg_alpha=0, reg_lambda=1,
  30580. scale_pos_weight=1, subsample=1,
  30581. tree_method='gpu_hist', validate_parameters=1,
  30582. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30583. 2022-04-07 00:23:45,250:INFO:Checking exceptions
  30584. 2022-04-07 00:23:45,250:INFO:Preloading libraries
  30585. 2022-04-07 00:23:45,844:INFO:Initializing predict_model()
  30586. 2022-04-07 00:23:45,845:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30587. DataTypes_Auto_infer(ml_usecase='classification',
  30588. target='label')),
  30589. ('imputer',
  30590. Simple_Imputer(categorical_strategy='not_available',
  30591. fill_value_categorical=None,
  30592. fill_value_numerical=None,
  30593. numeric_strategy='mean',
  30594. target_variable=None)),
  30595. ('new_levels1',
  30596. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30597. 'frequent',
  30598. targe...
  30599. gamma=0, gpu_id=0, importance_type=None,
  30600. interaction_constraints='', learning_rate=0.05,
  30601. max_delta_step=0, max_depth=64, max_leaves=4096,
  30602. min_child_weight=1, missing=nan,
  30603. monotone_constraints='()', n_estimators=100,
  30604. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30605. random_state=6597, reg_alpha=0, reg_lambda=1,
  30606. scale_pos_weight=1, subsample=1,
  30607. tree_method='gpu_hist', validate_parameters=1,
  30608. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30609. 2022-04-07 00:23:45,845:INFO:Checking exceptions
  30610. 2022-04-07 00:23:45,846:INFO:Preloading libraries
  30611. 2022-04-07 00:23:46,543:INFO:Initializing predict_model()
  30612. 2022-04-07 00:23:46,545:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30613. DataTypes_Auto_infer(ml_usecase='classification',
  30614. target='label')),
  30615. ('imputer',
  30616. Simple_Imputer(categorical_strategy='not_available',
  30617. fill_value_categorical=None,
  30618. fill_value_numerical=None,
  30619. numeric_strategy='mean',
  30620. target_variable=None)),
  30621. ('new_levels1',
  30622. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30623. 'frequent',
  30624. targe...
  30625. gamma=0, gpu_id=0, importance_type=None,
  30626. interaction_constraints='', learning_rate=0.05,
  30627. max_delta_step=0, max_depth=64, max_leaves=4096,
  30628. min_child_weight=1, missing=nan,
  30629. monotone_constraints='()', n_estimators=100,
  30630. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30631. random_state=6597, reg_alpha=0, reg_lambda=1,
  30632. scale_pos_weight=1, subsample=1,
  30633. tree_method='gpu_hist', validate_parameters=1,
  30634. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30635. 2022-04-07 00:23:46,547:INFO:Checking exceptions
  30636. 2022-04-07 00:23:46,549:INFO:Preloading libraries
  30637. 2022-04-07 00:23:47,003:INFO:Initializing predict_model()
  30638. 2022-04-07 00:23:47,004:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30639. DataTypes_Auto_infer(ml_usecase='classification',
  30640. target='label')),
  30641. ('imputer',
  30642. Simple_Imputer(categorical_strategy='not_available',
  30643. fill_value_categorical=None,
  30644. fill_value_numerical=None,
  30645. numeric_strategy='mean',
  30646. target_variable=None)),
  30647. ('new_levels1',
  30648. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30649. 'frequent',
  30650. targe...
  30651. gamma=0, gpu_id=0, importance_type=None,
  30652. interaction_constraints='', learning_rate=0.05,
  30653. max_delta_step=0, max_depth=64, max_leaves=4096,
  30654. min_child_weight=1, missing=nan,
  30655. monotone_constraints='()', n_estimators=100,
  30656. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30657. random_state=6597, reg_alpha=0, reg_lambda=1,
  30658. scale_pos_weight=1, subsample=1,
  30659. tree_method='gpu_hist', validate_parameters=1,
  30660. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30661. 2022-04-07 00:23:47,007:INFO:Checking exceptions
  30662. 2022-04-07 00:23:47,009:INFO:Preloading libraries
  30663. 2022-04-07 00:23:47,643:INFO:Initializing predict_model()
  30664. 2022-04-07 00:23:47,644:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30665. DataTypes_Auto_infer(ml_usecase='classification',
  30666. target='label')),
  30667. ('imputer',
  30668. Simple_Imputer(categorical_strategy='not_available',
  30669. fill_value_categorical=None,
  30670. fill_value_numerical=None,
  30671. numeric_strategy='mean',
  30672. target_variable=None)),
  30673. ('new_levels1',
  30674. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30675. 'frequent',
  30676. targe...
  30677. gamma=0, gpu_id=0, importance_type=None,
  30678. interaction_constraints='', learning_rate=0.05,
  30679. max_delta_step=0, max_depth=64, max_leaves=4096,
  30680. min_child_weight=1, missing=nan,
  30681. monotone_constraints='()', n_estimators=100,
  30682. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30683. random_state=6597, reg_alpha=0, reg_lambda=1,
  30684. scale_pos_weight=1, subsample=1,
  30685. tree_method='gpu_hist', validate_parameters=1,
  30686. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30687. 2022-04-07 00:23:47,644:INFO:Checking exceptions
  30688. 2022-04-07 00:23:47,644:INFO:Preloading libraries
  30689. 2022-04-07 00:23:48,279:INFO:Initializing predict_model()
  30690. 2022-04-07 00:23:48,281:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30691. DataTypes_Auto_infer(ml_usecase='classification',
  30692. target='label')),
  30693. ('imputer',
  30694. Simple_Imputer(categorical_strategy='not_available',
  30695. fill_value_categorical=None,
  30696. fill_value_numerical=None,
  30697. numeric_strategy='mean',
  30698. target_variable=None)),
  30699. ('new_levels1',
  30700. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30701. 'frequent',
  30702. targe...
  30703. gamma=0, gpu_id=0, importance_type=None,
  30704. interaction_constraints='', learning_rate=0.05,
  30705. max_delta_step=0, max_depth=64, max_leaves=4096,
  30706. min_child_weight=1, missing=nan,
  30707. monotone_constraints='()', n_estimators=100,
  30708. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30709. random_state=6597, reg_alpha=0, reg_lambda=1,
  30710. scale_pos_weight=1, subsample=1,
  30711. tree_method='gpu_hist', validate_parameters=1,
  30712. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30713. 2022-04-07 00:23:48,281:INFO:Checking exceptions
  30714. 2022-04-07 00:23:48,281:INFO:Preloading libraries
  30715. 2022-04-07 00:23:49,000:INFO:Initializing predict_model()
  30716. 2022-04-07 00:23:49,001:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30717. DataTypes_Auto_infer(ml_usecase='classification',
  30718. target='label')),
  30719. ('imputer',
  30720. Simple_Imputer(categorical_strategy='not_available',
  30721. fill_value_categorical=None,
  30722. fill_value_numerical=None,
  30723. numeric_strategy='mean',
  30724. target_variable=None)),
  30725. ('new_levels1',
  30726. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30727. 'frequent',
  30728. targe...
  30729. gamma=0, gpu_id=0, importance_type=None,
  30730. interaction_constraints='', learning_rate=0.05,
  30731. max_delta_step=0, max_depth=64, max_leaves=4096,
  30732. min_child_weight=1, missing=nan,
  30733. monotone_constraints='()', n_estimators=100,
  30734. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30735. random_state=6597, reg_alpha=0, reg_lambda=1,
  30736. scale_pos_weight=1, subsample=1,
  30737. tree_method='gpu_hist', validate_parameters=1,
  30738. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30739. 2022-04-07 00:23:49,001:INFO:Checking exceptions
  30740. 2022-04-07 00:23:49,002:INFO:Preloading libraries
  30741. 2022-04-07 00:23:49,652:INFO:Initializing predict_model()
  30742. 2022-04-07 00:23:49,653:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30743. DataTypes_Auto_infer(ml_usecase='classification',
  30744. target='label')),
  30745. ('imputer',
  30746. Simple_Imputer(categorical_strategy='not_available',
  30747. fill_value_categorical=None,
  30748. fill_value_numerical=None,
  30749. numeric_strategy='mean',
  30750. target_variable=None)),
  30751. ('new_levels1',
  30752. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30753. 'frequent',
  30754. targe...
  30755. gamma=0, gpu_id=0, importance_type=None,
  30756. interaction_constraints='', learning_rate=0.05,
  30757. max_delta_step=0, max_depth=64, max_leaves=4096,
  30758. min_child_weight=1, missing=nan,
  30759. monotone_constraints='()', n_estimators=100,
  30760. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30761. random_state=6597, reg_alpha=0, reg_lambda=1,
  30762. scale_pos_weight=1, subsample=1,
  30763. tree_method='gpu_hist', validate_parameters=1,
  30764. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30765. 2022-04-07 00:23:49,653:INFO:Checking exceptions
  30766. 2022-04-07 00:23:49,653:INFO:Preloading libraries
  30767. 2022-04-07 00:23:50,274:INFO:Initializing predict_model()
  30768. 2022-04-07 00:23:50,275:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30769. DataTypes_Auto_infer(ml_usecase='classification',
  30770. target='label')),
  30771. ('imputer',
  30772. Simple_Imputer(categorical_strategy='not_available',
  30773. fill_value_categorical=None,
  30774. fill_value_numerical=None,
  30775. numeric_strategy='mean',
  30776. target_variable=None)),
  30777. ('new_levels1',
  30778. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30779. 'frequent',
  30780. targe...
  30781. gamma=0, gpu_id=0, importance_type=None,
  30782. interaction_constraints='', learning_rate=0.05,
  30783. max_delta_step=0, max_depth=64, max_leaves=4096,
  30784. min_child_weight=1, missing=nan,
  30785. monotone_constraints='()', n_estimators=100,
  30786. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30787. random_state=6597, reg_alpha=0, reg_lambda=1,
  30788. scale_pos_weight=1, subsample=1,
  30789. tree_method='gpu_hist', validate_parameters=1,
  30790. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30791. 2022-04-07 00:23:50,276:INFO:Checking exceptions
  30792. 2022-04-07 00:23:50,276:INFO:Preloading libraries
  30793. 2022-04-07 00:23:50,978:INFO:Initializing predict_model()
  30794. 2022-04-07 00:23:50,981:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30795. DataTypes_Auto_infer(ml_usecase='classification',
  30796. target='label')),
  30797. ('imputer',
  30798. Simple_Imputer(categorical_strategy='not_available',
  30799. fill_value_categorical=None,
  30800. fill_value_numerical=None,
  30801. numeric_strategy='mean',
  30802. target_variable=None)),
  30803. ('new_levels1',
  30804. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30805. 'frequent',
  30806. targe...
  30807. gamma=0, gpu_id=0, importance_type=None,
  30808. interaction_constraints='', learning_rate=0.05,
  30809. max_delta_step=0, max_depth=64, max_leaves=4096,
  30810. min_child_weight=1, missing=nan,
  30811. monotone_constraints='()', n_estimators=100,
  30812. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30813. random_state=6597, reg_alpha=0, reg_lambda=1,
  30814. scale_pos_weight=1, subsample=1,
  30815. tree_method='gpu_hist', validate_parameters=1,
  30816. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30817. 2022-04-07 00:23:50,982:INFO:Checking exceptions
  30818. 2022-04-07 00:23:50,987:INFO:Preloading libraries
  30819. 2022-04-07 00:30:03,379:INFO:Initializing predict_model()
  30820. 2022-04-07 00:30:03,380:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30821. DataTypes_Auto_infer(ml_usecase='classification',
  30822. target='label')),
  30823. ('imputer',
  30824. Simple_Imputer(categorical_strategy='not_available',
  30825. fill_value_categorical=None,
  30826. fill_value_numerical=None,
  30827. numeric_strategy='mean',
  30828. target_variable=None)),
  30829. ('new_levels1',
  30830. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30831. 'frequent',
  30832. targe...
  30833. gamma=0, gpu_id=0, importance_type=None,
  30834. interaction_constraints='', learning_rate=0.05,
  30835. max_delta_step=0, max_depth=64, max_leaves=4096,
  30836. min_child_weight=1, missing=nan,
  30837. monotone_constraints='()', n_estimators=100,
  30838. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30839. random_state=6597, reg_alpha=0, reg_lambda=1,
  30840. scale_pos_weight=1, subsample=1,
  30841. tree_method='gpu_hist', validate_parameters=1,
  30842. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30843. 2022-04-07 00:30:03,380:INFO:Checking exceptions
  30844. 2022-04-07 00:30:03,381:INFO:Preloading libraries
  30845. 2022-04-07 00:30:04,059:INFO:Initializing predict_model()
  30846. 2022-04-07 00:30:04,060:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30847. DataTypes_Auto_infer(ml_usecase='classification',
  30848. target='label')),
  30849. ('imputer',
  30850. Simple_Imputer(categorical_strategy='not_available',
  30851. fill_value_categorical=None,
  30852. fill_value_numerical=None,
  30853. numeric_strategy='mean',
  30854. target_variable=None)),
  30855. ('new_levels1',
  30856. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30857. 'frequent',
  30858. targe...
  30859. gamma=0, gpu_id=0, importance_type=None,
  30860. interaction_constraints='', learning_rate=0.05,
  30861. max_delta_step=0, max_depth=64, max_leaves=4096,
  30862. min_child_weight=1, missing=nan,
  30863. monotone_constraints='()', n_estimators=100,
  30864. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30865. random_state=6597, reg_alpha=0, reg_lambda=1,
  30866. scale_pos_weight=1, subsample=1,
  30867. tree_method='gpu_hist', validate_parameters=1,
  30868. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30869. 2022-04-07 00:30:04,060:INFO:Checking exceptions
  30870. 2022-04-07 00:30:04,060:INFO:Preloading libraries
  30871. 2022-04-07 00:30:04,889:INFO:Initializing predict_model()
  30872. 2022-04-07 00:30:04,890:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30873. DataTypes_Auto_infer(ml_usecase='classification',
  30874. target='label')),
  30875. ('imputer',
  30876. Simple_Imputer(categorical_strategy='not_available',
  30877. fill_value_categorical=None,
  30878. fill_value_numerical=None,
  30879. numeric_strategy='mean',
  30880. target_variable=None)),
  30881. ('new_levels1',
  30882. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30883. 'frequent',
  30884. targe...
  30885. gamma=0, gpu_id=0, importance_type=None,
  30886. interaction_constraints='', learning_rate=0.05,
  30887. max_delta_step=0, max_depth=64, max_leaves=4096,
  30888. min_child_weight=1, missing=nan,
  30889. monotone_constraints='()', n_estimators=100,
  30890. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30891. random_state=6597, reg_alpha=0, reg_lambda=1,
  30892. scale_pos_weight=1, subsample=1,
  30893. tree_method='gpu_hist', validate_parameters=1,
  30894. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30895. 2022-04-07 00:30:04,890:INFO:Checking exceptions
  30896. 2022-04-07 00:30:04,891:INFO:Preloading libraries
  30897. 2022-04-07 00:30:05,551:INFO:Initializing predict_model()
  30898. 2022-04-07 00:30:05,552:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30899. DataTypes_Auto_infer(ml_usecase='classification',
  30900. target='label')),
  30901. ('imputer',
  30902. Simple_Imputer(categorical_strategy='not_available',
  30903. fill_value_categorical=None,
  30904. fill_value_numerical=None,
  30905. numeric_strategy='mean',
  30906. target_variable=None)),
  30907. ('new_levels1',
  30908. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30909. 'frequent',
  30910. targe...
  30911. gamma=0, gpu_id=0, importance_type=None,
  30912. interaction_constraints='', learning_rate=0.05,
  30913. max_delta_step=0, max_depth=64, max_leaves=4096,
  30914. min_child_weight=1, missing=nan,
  30915. monotone_constraints='()', n_estimators=100,
  30916. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30917. random_state=6597, reg_alpha=0, reg_lambda=1,
  30918. scale_pos_weight=1, subsample=1,
  30919. tree_method='gpu_hist', validate_parameters=1,
  30920. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30921. 2022-04-07 00:30:05,552:INFO:Checking exceptions
  30922. 2022-04-07 00:30:05,552:INFO:Preloading libraries
  30923. 2022-04-07 00:30:06,140:INFO:Initializing predict_model()
  30924. 2022-04-07 00:30:06,141:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30925. DataTypes_Auto_infer(ml_usecase='classification',
  30926. target='label')),
  30927. ('imputer',
  30928. Simple_Imputer(categorical_strategy='not_available',
  30929. fill_value_categorical=None,
  30930. fill_value_numerical=None,
  30931. numeric_strategy='mean',
  30932. target_variable=None)),
  30933. ('new_levels1',
  30934. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30935. 'frequent',
  30936. targe...
  30937. gamma=0, gpu_id=0, importance_type=None,
  30938. interaction_constraints='', learning_rate=0.05,
  30939. max_delta_step=0, max_depth=64, max_leaves=4096,
  30940. min_child_weight=1, missing=nan,
  30941. monotone_constraints='()', n_estimators=100,
  30942. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30943. random_state=6597, reg_alpha=0, reg_lambda=1,
  30944. scale_pos_weight=1, subsample=1,
  30945. tree_method='gpu_hist', validate_parameters=1,
  30946. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30947. 2022-04-07 00:30:06,141:INFO:Checking exceptions
  30948. 2022-04-07 00:30:06,142:INFO:Preloading libraries
  30949. 2022-04-07 00:30:06,889:INFO:Initializing predict_model()
  30950. 2022-04-07 00:30:06,890:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30951. DataTypes_Auto_infer(ml_usecase='classification',
  30952. target='label')),
  30953. ('imputer',
  30954. Simple_Imputer(categorical_strategy='not_available',
  30955. fill_value_categorical=None,
  30956. fill_value_numerical=None,
  30957. numeric_strategy='mean',
  30958. target_variable=None)),
  30959. ('new_levels1',
  30960. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30961. 'frequent',
  30962. targe...
  30963. gamma=0, gpu_id=0, importance_type=None,
  30964. interaction_constraints='', learning_rate=0.05,
  30965. max_delta_step=0, max_depth=64, max_leaves=4096,
  30966. min_child_weight=1, missing=nan,
  30967. monotone_constraints='()', n_estimators=100,
  30968. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30969. random_state=6597, reg_alpha=0, reg_lambda=1,
  30970. scale_pos_weight=1, subsample=1,
  30971. tree_method='gpu_hist', validate_parameters=1,
  30972. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30973. 2022-04-07 00:30:06,890:INFO:Checking exceptions
  30974. 2022-04-07 00:30:06,891:INFO:Preloading libraries
  30975. 2022-04-07 00:30:07,505:INFO:Initializing predict_model()
  30976. 2022-04-07 00:30:07,505:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  30977. DataTypes_Auto_infer(ml_usecase='classification',
  30978. target='label')),
  30979. ('imputer',
  30980. Simple_Imputer(categorical_strategy='not_available',
  30981. fill_value_categorical=None,
  30982. fill_value_numerical=None,
  30983. numeric_strategy='mean',
  30984. target_variable=None)),
  30985. ('new_levels1',
  30986. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  30987. 'frequent',
  30988. targe...
  30989. gamma=0, gpu_id=0, importance_type=None,
  30990. interaction_constraints='', learning_rate=0.05,
  30991. max_delta_step=0, max_depth=64, max_leaves=4096,
  30992. min_child_weight=1, missing=nan,
  30993. monotone_constraints='()', n_estimators=100,
  30994. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  30995. random_state=6597, reg_alpha=0, reg_lambda=1,
  30996. scale_pos_weight=1, subsample=1,
  30997. tree_method='gpu_hist', validate_parameters=1,
  30998. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  30999. 2022-04-07 00:30:07,506:INFO:Checking exceptions
  31000. 2022-04-07 00:30:07,506:INFO:Preloading libraries
  31001. 2022-04-07 00:30:08,151:INFO:Initializing predict_model()
  31002. 2022-04-07 00:30:08,152:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31003. DataTypes_Auto_infer(ml_usecase='classification',
  31004. target='label')),
  31005. ('imputer',
  31006. Simple_Imputer(categorical_strategy='not_available',
  31007. fill_value_categorical=None,
  31008. fill_value_numerical=None,
  31009. numeric_strategy='mean',
  31010. target_variable=None)),
  31011. ('new_levels1',
  31012. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31013. 'frequent',
  31014. targe...
  31015. gamma=0, gpu_id=0, importance_type=None,
  31016. interaction_constraints='', learning_rate=0.05,
  31017. max_delta_step=0, max_depth=64, max_leaves=4096,
  31018. min_child_weight=1, missing=nan,
  31019. monotone_constraints='()', n_estimators=100,
  31020. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31021. random_state=6597, reg_alpha=0, reg_lambda=1,
  31022. scale_pos_weight=1, subsample=1,
  31023. tree_method='gpu_hist', validate_parameters=1,
  31024. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31025. 2022-04-07 00:30:08,153:INFO:Checking exceptions
  31026. 2022-04-07 00:30:08,153:INFO:Preloading libraries
  31027. 2022-04-07 00:30:08,855:INFO:Initializing predict_model()
  31028. 2022-04-07 00:30:08,856:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31029. DataTypes_Auto_infer(ml_usecase='classification',
  31030. target='label')),
  31031. ('imputer',
  31032. Simple_Imputer(categorical_strategy='not_available',
  31033. fill_value_categorical=None,
  31034. fill_value_numerical=None,
  31035. numeric_strategy='mean',
  31036. target_variable=None)),
  31037. ('new_levels1',
  31038. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31039. 'frequent',
  31040. targe...
  31041. gamma=0, gpu_id=0, importance_type=None,
  31042. interaction_constraints='', learning_rate=0.05,
  31043. max_delta_step=0, max_depth=64, max_leaves=4096,
  31044. min_child_weight=1, missing=nan,
  31045. monotone_constraints='()', n_estimators=100,
  31046. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31047. random_state=6597, reg_alpha=0, reg_lambda=1,
  31048. scale_pos_weight=1, subsample=1,
  31049. tree_method='gpu_hist', validate_parameters=1,
  31050. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31051. 2022-04-07 00:30:08,856:INFO:Checking exceptions
  31052. 2022-04-07 00:30:08,857:INFO:Preloading libraries
  31053. 2022-04-07 00:30:09,550:INFO:Initializing predict_model()
  31054. 2022-04-07 00:30:09,551:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31055. DataTypes_Auto_infer(ml_usecase='classification',
  31056. target='label')),
  31057. ('imputer',
  31058. Simple_Imputer(categorical_strategy='not_available',
  31059. fill_value_categorical=None,
  31060. fill_value_numerical=None,
  31061. numeric_strategy='mean',
  31062. target_variable=None)),
  31063. ('new_levels1',
  31064. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31065. 'frequent',
  31066. targe...
  31067. gamma=0, gpu_id=0, importance_type=None,
  31068. interaction_constraints='', learning_rate=0.05,
  31069. max_delta_step=0, max_depth=64, max_leaves=4096,
  31070. min_child_weight=1, missing=nan,
  31071. monotone_constraints='()', n_estimators=100,
  31072. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31073. random_state=6597, reg_alpha=0, reg_lambda=1,
  31074. scale_pos_weight=1, subsample=1,
  31075. tree_method='gpu_hist', validate_parameters=1,
  31076. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31077. 2022-04-07 00:30:09,551:INFO:Checking exceptions
  31078. 2022-04-07 00:30:09,552:INFO:Preloading libraries
  31079. 2022-04-07 00:30:10,174:INFO:Initializing predict_model()
  31080. 2022-04-07 00:30:10,174:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31081. DataTypes_Auto_infer(ml_usecase='classification',
  31082. target='label')),
  31083. ('imputer',
  31084. Simple_Imputer(categorical_strategy='not_available',
  31085. fill_value_categorical=None,
  31086. fill_value_numerical=None,
  31087. numeric_strategy='mean',
  31088. target_variable=None)),
  31089. ('new_levels1',
  31090. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31091. 'frequent',
  31092. targe...
  31093. gamma=0, gpu_id=0, importance_type=None,
  31094. interaction_constraints='', learning_rate=0.05,
  31095. max_delta_step=0, max_depth=64, max_leaves=4096,
  31096. min_child_weight=1, missing=nan,
  31097. monotone_constraints='()', n_estimators=100,
  31098. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31099. random_state=6597, reg_alpha=0, reg_lambda=1,
  31100. scale_pos_weight=1, subsample=1,
  31101. tree_method='gpu_hist', validate_parameters=1,
  31102. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31103. 2022-04-07 00:30:10,175:INFO:Checking exceptions
  31104. 2022-04-07 00:30:10,175:INFO:Preloading libraries
  31105. 2022-04-07 00:30:10,956:INFO:Initializing predict_model()
  31106. 2022-04-07 00:30:10,957:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31107. DataTypes_Auto_infer(ml_usecase='classification',
  31108. target='label')),
  31109. ('imputer',
  31110. Simple_Imputer(categorical_strategy='not_available',
  31111. fill_value_categorical=None,
  31112. fill_value_numerical=None,
  31113. numeric_strategy='mean',
  31114. target_variable=None)),
  31115. ('new_levels1',
  31116. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31117. 'frequent',
  31118. targe...
  31119. gamma=0, gpu_id=0, importance_type=None,
  31120. interaction_constraints='', learning_rate=0.05,
  31121. max_delta_step=0, max_depth=64, max_leaves=4096,
  31122. min_child_weight=1, missing=nan,
  31123. monotone_constraints='()', n_estimators=100,
  31124. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31125. random_state=6597, reg_alpha=0, reg_lambda=1,
  31126. scale_pos_weight=1, subsample=1,
  31127. tree_method='gpu_hist', validate_parameters=1,
  31128. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31129. 2022-04-07 00:30:10,957:INFO:Checking exceptions
  31130. 2022-04-07 00:30:10,958:INFO:Preloading libraries
  31131. 2022-04-07 00:30:11,547:INFO:Initializing predict_model()
  31132. 2022-04-07 00:30:11,548:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31133. DataTypes_Auto_infer(ml_usecase='classification',
  31134. target='label')),
  31135. ('imputer',
  31136. Simple_Imputer(categorical_strategy='not_available',
  31137. fill_value_categorical=None,
  31138. fill_value_numerical=None,
  31139. numeric_strategy='mean',
  31140. target_variable=None)),
  31141. ('new_levels1',
  31142. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31143. 'frequent',
  31144. targe...
  31145. gamma=0, gpu_id=0, importance_type=None,
  31146. interaction_constraints='', learning_rate=0.05,
  31147. max_delta_step=0, max_depth=64, max_leaves=4096,
  31148. min_child_weight=1, missing=nan,
  31149. monotone_constraints='()', n_estimators=100,
  31150. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31151. random_state=6597, reg_alpha=0, reg_lambda=1,
  31152. scale_pos_weight=1, subsample=1,
  31153. tree_method='gpu_hist', validate_parameters=1,
  31154. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31155. 2022-04-07 00:30:11,549:INFO:Checking exceptions
  31156. 2022-04-07 00:30:11,549:INFO:Preloading libraries
  31157. 2022-04-07 00:30:12,143:INFO:Initializing predict_model()
  31158. 2022-04-07 00:30:12,144:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31159. DataTypes_Auto_infer(ml_usecase='classification',
  31160. target='label')),
  31161. ('imputer',
  31162. Simple_Imputer(categorical_strategy='not_available',
  31163. fill_value_categorical=None,
  31164. fill_value_numerical=None,
  31165. numeric_strategy='mean',
  31166. target_variable=None)),
  31167. ('new_levels1',
  31168. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31169. 'frequent',
  31170. targe...
  31171. gamma=0, gpu_id=0, importance_type=None,
  31172. interaction_constraints='', learning_rate=0.05,
  31173. max_delta_step=0, max_depth=64, max_leaves=4096,
  31174. min_child_weight=1, missing=nan,
  31175. monotone_constraints='()', n_estimators=100,
  31176. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31177. random_state=6597, reg_alpha=0, reg_lambda=1,
  31178. scale_pos_weight=1, subsample=1,
  31179. tree_method='gpu_hist', validate_parameters=1,
  31180. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31181. 2022-04-07 00:30:12,144:INFO:Checking exceptions
  31182. 2022-04-07 00:30:12,145:INFO:Preloading libraries
  31183. 2022-04-07 00:30:12,745:INFO:Initializing predict_model()
  31184. 2022-04-07 00:30:12,746:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31185. DataTypes_Auto_infer(ml_usecase='classification',
  31186. target='label')),
  31187. ('imputer',
  31188. Simple_Imputer(categorical_strategy='not_available',
  31189. fill_value_categorical=None,
  31190. fill_value_numerical=None,
  31191. numeric_strategy='mean',
  31192. target_variable=None)),
  31193. ('new_levels1',
  31194. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31195. 'frequent',
  31196. targe...
  31197. gamma=0, gpu_id=0, importance_type=None,
  31198. interaction_constraints='', learning_rate=0.05,
  31199. max_delta_step=0, max_depth=64, max_leaves=4096,
  31200. min_child_weight=1, missing=nan,
  31201. monotone_constraints='()', n_estimators=100,
  31202. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31203. random_state=6597, reg_alpha=0, reg_lambda=1,
  31204. scale_pos_weight=1, subsample=1,
  31205. tree_method='gpu_hist', validate_parameters=1,
  31206. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31207. 2022-04-07 00:30:12,746:INFO:Checking exceptions
  31208. 2022-04-07 00:30:12,747:INFO:Preloading libraries
  31209. 2022-04-07 00:30:13,399:INFO:Initializing predict_model()
  31210. 2022-04-07 00:30:13,401:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31211. DataTypes_Auto_infer(ml_usecase='classification',
  31212. target='label')),
  31213. ('imputer',
  31214. Simple_Imputer(categorical_strategy='not_available',
  31215. fill_value_categorical=None,
  31216. fill_value_numerical=None,
  31217. numeric_strategy='mean',
  31218. target_variable=None)),
  31219. ('new_levels1',
  31220. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31221. 'frequent',
  31222. targe...
  31223. gamma=0, gpu_id=0, importance_type=None,
  31224. interaction_constraints='', learning_rate=0.05,
  31225. max_delta_step=0, max_depth=64, max_leaves=4096,
  31226. min_child_weight=1, missing=nan,
  31227. monotone_constraints='()', n_estimators=100,
  31228. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31229. random_state=6597, reg_alpha=0, reg_lambda=1,
  31230. scale_pos_weight=1, subsample=1,
  31231. tree_method='gpu_hist', validate_parameters=1,
  31232. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31233. 2022-04-07 00:30:13,402:INFO:Checking exceptions
  31234. 2022-04-07 00:30:13,402:INFO:Preloading libraries
  31235. 2022-04-07 00:30:13,983:INFO:Initializing predict_model()
  31236. 2022-04-07 00:30:13,983:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31237. DataTypes_Auto_infer(ml_usecase='classification',
  31238. target='label')),
  31239. ('imputer',
  31240. Simple_Imputer(categorical_strategy='not_available',
  31241. fill_value_categorical=None,
  31242. fill_value_numerical=None,
  31243. numeric_strategy='mean',
  31244. target_variable=None)),
  31245. ('new_levels1',
  31246. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31247. 'frequent',
  31248. targe...
  31249. gamma=0, gpu_id=0, importance_type=None,
  31250. interaction_constraints='', learning_rate=0.05,
  31251. max_delta_step=0, max_depth=64, max_leaves=4096,
  31252. min_child_weight=1, missing=nan,
  31253. monotone_constraints='()', n_estimators=100,
  31254. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31255. random_state=6597, reg_alpha=0, reg_lambda=1,
  31256. scale_pos_weight=1, subsample=1,
  31257. tree_method='gpu_hist', validate_parameters=1,
  31258. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31259. 2022-04-07 00:30:13,984:INFO:Checking exceptions
  31260. 2022-04-07 00:30:13,984:INFO:Preloading libraries
  31261. 2022-04-07 00:30:14,551:INFO:Initializing predict_model()
  31262. 2022-04-07 00:30:14,551:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31263. DataTypes_Auto_infer(ml_usecase='classification',
  31264. target='label')),
  31265. ('imputer',
  31266. Simple_Imputer(categorical_strategy='not_available',
  31267. fill_value_categorical=None,
  31268. fill_value_numerical=None,
  31269. numeric_strategy='mean',
  31270. target_variable=None)),
  31271. ('new_levels1',
  31272. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31273. 'frequent',
  31274. targe...
  31275. gamma=0, gpu_id=0, importance_type=None,
  31276. interaction_constraints='', learning_rate=0.05,
  31277. max_delta_step=0, max_depth=64, max_leaves=4096,
  31278. min_child_weight=1, missing=nan,
  31279. monotone_constraints='()', n_estimators=100,
  31280. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31281. random_state=6597, reg_alpha=0, reg_lambda=1,
  31282. scale_pos_weight=1, subsample=1,
  31283. tree_method='gpu_hist', validate_parameters=1,
  31284. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31285. 2022-04-07 00:30:14,552:INFO:Checking exceptions
  31286. 2022-04-07 00:30:14,552:INFO:Preloading libraries
  31287. 2022-04-07 00:30:15,090:INFO:Initializing predict_model()
  31288. 2022-04-07 00:30:15,093:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31289. DataTypes_Auto_infer(ml_usecase='classification',
  31290. target='label')),
  31291. ('imputer',
  31292. Simple_Imputer(categorical_strategy='not_available',
  31293. fill_value_categorical=None,
  31294. fill_value_numerical=None,
  31295. numeric_strategy='mean',
  31296. target_variable=None)),
  31297. ('new_levels1',
  31298. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31299. 'frequent',
  31300. targe...
  31301. gamma=0, gpu_id=0, importance_type=None,
  31302. interaction_constraints='', learning_rate=0.05,
  31303. max_delta_step=0, max_depth=64, max_leaves=4096,
  31304. min_child_weight=1, missing=nan,
  31305. monotone_constraints='()', n_estimators=100,
  31306. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31307. random_state=6597, reg_alpha=0, reg_lambda=1,
  31308. scale_pos_weight=1, subsample=1,
  31309. tree_method='gpu_hist', validate_parameters=1,
  31310. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31311. 2022-04-07 00:30:15,094:INFO:Checking exceptions
  31312. 2022-04-07 00:30:15,097:INFO:Preloading libraries
  31313. 2022-04-07 00:30:15,684:INFO:Initializing predict_model()
  31314. 2022-04-07 00:30:15,685:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31315. DataTypes_Auto_infer(ml_usecase='classification',
  31316. target='label')),
  31317. ('imputer',
  31318. Simple_Imputer(categorical_strategy='not_available',
  31319. fill_value_categorical=None,
  31320. fill_value_numerical=None,
  31321. numeric_strategy='mean',
  31322. target_variable=None)),
  31323. ('new_levels1',
  31324. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31325. 'frequent',
  31326. targe...
  31327. gamma=0, gpu_id=0, importance_type=None,
  31328. interaction_constraints='', learning_rate=0.05,
  31329. max_delta_step=0, max_depth=64, max_leaves=4096,
  31330. min_child_weight=1, missing=nan,
  31331. monotone_constraints='()', n_estimators=100,
  31332. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31333. random_state=6597, reg_alpha=0, reg_lambda=1,
  31334. scale_pos_weight=1, subsample=1,
  31335. tree_method='gpu_hist', validate_parameters=1,
  31336. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31337. 2022-04-07 00:30:15,685:INFO:Checking exceptions
  31338. 2022-04-07 00:30:15,685:INFO:Preloading libraries
  31339. 2022-04-07 00:31:11,722:INFO:Initializing predict_model()
  31340. 2022-04-07 00:31:11,723:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31341. DataTypes_Auto_infer(ml_usecase='classification',
  31342. target='label')),
  31343. ('imputer',
  31344. Simple_Imputer(categorical_strategy='not_available',
  31345. fill_value_categorical=None,
  31346. fill_value_numerical=None,
  31347. numeric_strategy='mean',
  31348. target_variable=None)),
  31349. ('new_levels1',
  31350. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31351. 'frequent',
  31352. targe...
  31353. gamma=0, gpu_id=0, importance_type=None,
  31354. interaction_constraints='', learning_rate=0.05,
  31355. max_delta_step=0, max_depth=64, max_leaves=4096,
  31356. min_child_weight=1, missing=nan,
  31357. monotone_constraints='()', n_estimators=100,
  31358. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31359. random_state=6597, reg_alpha=0, reg_lambda=1,
  31360. scale_pos_weight=1, subsample=1,
  31361. tree_method='gpu_hist', validate_parameters=1,
  31362. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31363. 2022-04-07 00:31:11,723:INFO:Checking exceptions
  31364. 2022-04-07 00:31:11,724:INFO:Preloading libraries
  31365. 2022-04-07 00:31:12,472:INFO:Initializing predict_model()
  31366. 2022-04-07 00:31:12,474:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31367. DataTypes_Auto_infer(ml_usecase='classification',
  31368. target='label')),
  31369. ('imputer',
  31370. Simple_Imputer(categorical_strategy='not_available',
  31371. fill_value_categorical=None,
  31372. fill_value_numerical=None,
  31373. numeric_strategy='mean',
  31374. target_variable=None)),
  31375. ('new_levels1',
  31376. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31377. 'frequent',
  31378. targe...
  31379. gamma=0, gpu_id=0, importance_type=None,
  31380. interaction_constraints='', learning_rate=0.05,
  31381. max_delta_step=0, max_depth=64, max_leaves=4096,
  31382. min_child_weight=1, missing=nan,
  31383. monotone_constraints='()', n_estimators=100,
  31384. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31385. random_state=6597, reg_alpha=0, reg_lambda=1,
  31386. scale_pos_weight=1, subsample=1,
  31387. tree_method='gpu_hist', validate_parameters=1,
  31388. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31389. 2022-04-07 00:31:12,476:INFO:Checking exceptions
  31390. 2022-04-07 00:31:12,479:INFO:Preloading libraries
  31391. 2022-04-07 00:31:13,126:INFO:Initializing predict_model()
  31392. 2022-04-07 00:31:13,129:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31393. DataTypes_Auto_infer(ml_usecase='classification',
  31394. target='label')),
  31395. ('imputer',
  31396. Simple_Imputer(categorical_strategy='not_available',
  31397. fill_value_categorical=None,
  31398. fill_value_numerical=None,
  31399. numeric_strategy='mean',
  31400. target_variable=None)),
  31401. ('new_levels1',
  31402. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31403. 'frequent',
  31404. targe...
  31405. gamma=0, gpu_id=0, importance_type=None,
  31406. interaction_constraints='', learning_rate=0.05,
  31407. max_delta_step=0, max_depth=64, max_leaves=4096,
  31408. min_child_weight=1, missing=nan,
  31409. monotone_constraints='()', n_estimators=100,
  31410. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31411. random_state=6597, reg_alpha=0, reg_lambda=1,
  31412. scale_pos_weight=1, subsample=1,
  31413. tree_method='gpu_hist', validate_parameters=1,
  31414. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31415. 2022-04-07 00:31:13,132:INFO:Checking exceptions
  31416. 2022-04-07 00:31:13,134:INFO:Preloading libraries
  31417. 2022-04-07 00:31:13,739:INFO:Initializing predict_model()
  31418. 2022-04-07 00:31:13,740:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31419. DataTypes_Auto_infer(ml_usecase='classification',
  31420. target='label')),
  31421. ('imputer',
  31422. Simple_Imputer(categorical_strategy='not_available',
  31423. fill_value_categorical=None,
  31424. fill_value_numerical=None,
  31425. numeric_strategy='mean',
  31426. target_variable=None)),
  31427. ('new_levels1',
  31428. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31429. 'frequent',
  31430. targe...
  31431. gamma=0, gpu_id=0, importance_type=None,
  31432. interaction_constraints='', learning_rate=0.05,
  31433. max_delta_step=0, max_depth=64, max_leaves=4096,
  31434. min_child_weight=1, missing=nan,
  31435. monotone_constraints='()', n_estimators=100,
  31436. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31437. random_state=6597, reg_alpha=0, reg_lambda=1,
  31438. scale_pos_weight=1, subsample=1,
  31439. tree_method='gpu_hist', validate_parameters=1,
  31440. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31441. 2022-04-07 00:31:13,740:INFO:Checking exceptions
  31442. 2022-04-07 00:31:13,741:INFO:Preloading libraries
  31443. 2022-04-07 00:31:14,389:INFO:Initializing predict_model()
  31444. 2022-04-07 00:31:14,389:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31445. DataTypes_Auto_infer(ml_usecase='classification',
  31446. target='label')),
  31447. ('imputer',
  31448. Simple_Imputer(categorical_strategy='not_available',
  31449. fill_value_categorical=None,
  31450. fill_value_numerical=None,
  31451. numeric_strategy='mean',
  31452. target_variable=None)),
  31453. ('new_levels1',
  31454. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31455. 'frequent',
  31456. targe...
  31457. gamma=0, gpu_id=0, importance_type=None,
  31458. interaction_constraints='', learning_rate=0.05,
  31459. max_delta_step=0, max_depth=64, max_leaves=4096,
  31460. min_child_weight=1, missing=nan,
  31461. monotone_constraints='()', n_estimators=100,
  31462. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31463. random_state=6597, reg_alpha=0, reg_lambda=1,
  31464. scale_pos_weight=1, subsample=1,
  31465. tree_method='gpu_hist', validate_parameters=1,
  31466. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31467. 2022-04-07 00:31:14,390:INFO:Checking exceptions
  31468. 2022-04-07 00:31:14,390:INFO:Preloading libraries
  31469. 2022-04-07 00:31:15,068:INFO:Initializing predict_model()
  31470. 2022-04-07 00:31:15,068:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31471. DataTypes_Auto_infer(ml_usecase='classification',
  31472. target='label')),
  31473. ('imputer',
  31474. Simple_Imputer(categorical_strategy='not_available',
  31475. fill_value_categorical=None,
  31476. fill_value_numerical=None,
  31477. numeric_strategy='mean',
  31478. target_variable=None)),
  31479. ('new_levels1',
  31480. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31481. 'frequent',
  31482. targe...
  31483. gamma=0, gpu_id=0, importance_type=None,
  31484. interaction_constraints='', learning_rate=0.05,
  31485. max_delta_step=0, max_depth=64, max_leaves=4096,
  31486. min_child_weight=1, missing=nan,
  31487. monotone_constraints='()', n_estimators=100,
  31488. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31489. random_state=6597, reg_alpha=0, reg_lambda=1,
  31490. scale_pos_weight=1, subsample=1,
  31491. tree_method='gpu_hist', validate_parameters=1,
  31492. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31493. 2022-04-07 00:31:15,069:INFO:Checking exceptions
  31494. 2022-04-07 00:31:15,069:INFO:Preloading libraries
  31495. 2022-04-07 00:31:15,729:INFO:Initializing predict_model()
  31496. 2022-04-07 00:31:15,730:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31497. DataTypes_Auto_infer(ml_usecase='classification',
  31498. target='label')),
  31499. ('imputer',
  31500. Simple_Imputer(categorical_strategy='not_available',
  31501. fill_value_categorical=None,
  31502. fill_value_numerical=None,
  31503. numeric_strategy='mean',
  31504. target_variable=None)),
  31505. ('new_levels1',
  31506. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31507. 'frequent',
  31508. targe...
  31509. gamma=0, gpu_id=0, importance_type=None,
  31510. interaction_constraints='', learning_rate=0.05,
  31511. max_delta_step=0, max_depth=64, max_leaves=4096,
  31512. min_child_weight=1, missing=nan,
  31513. monotone_constraints='()', n_estimators=100,
  31514. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31515. random_state=6597, reg_alpha=0, reg_lambda=1,
  31516. scale_pos_weight=1, subsample=1,
  31517. tree_method='gpu_hist', validate_parameters=1,
  31518. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31519. 2022-04-07 00:31:15,736:INFO:Checking exceptions
  31520. 2022-04-07 00:31:15,737:INFO:Preloading libraries
  31521. 2022-04-07 00:31:16,323:INFO:Initializing predict_model()
  31522. 2022-04-07 00:31:16,324:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31523. DataTypes_Auto_infer(ml_usecase='classification',
  31524. target='label')),
  31525. ('imputer',
  31526. Simple_Imputer(categorical_strategy='not_available',
  31527. fill_value_categorical=None,
  31528. fill_value_numerical=None,
  31529. numeric_strategy='mean',
  31530. target_variable=None)),
  31531. ('new_levels1',
  31532. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31533. 'frequent',
  31534. targe...
  31535. gamma=0, gpu_id=0, importance_type=None,
  31536. interaction_constraints='', learning_rate=0.05,
  31537. max_delta_step=0, max_depth=64, max_leaves=4096,
  31538. min_child_weight=1, missing=nan,
  31539. monotone_constraints='()', n_estimators=100,
  31540. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31541. random_state=6597, reg_alpha=0, reg_lambda=1,
  31542. scale_pos_weight=1, subsample=1,
  31543. tree_method='gpu_hist', validate_parameters=1,
  31544. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31545. 2022-04-07 00:31:16,325:INFO:Checking exceptions
  31546. 2022-04-07 00:31:16,325:INFO:Preloading libraries
  31547. 2022-04-07 00:31:16,962:INFO:Initializing predict_model()
  31548. 2022-04-07 00:31:16,965:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31549. DataTypes_Auto_infer(ml_usecase='classification',
  31550. target='label')),
  31551. ('imputer',
  31552. Simple_Imputer(categorical_strategy='not_available',
  31553. fill_value_categorical=None,
  31554. fill_value_numerical=None,
  31555. numeric_strategy='mean',
  31556. target_variable=None)),
  31557. ('new_levels1',
  31558. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31559. 'frequent',
  31560. targe...
  31561. gamma=0, gpu_id=0, importance_type=None,
  31562. interaction_constraints='', learning_rate=0.05,
  31563. max_delta_step=0, max_depth=64, max_leaves=4096,
  31564. min_child_weight=1, missing=nan,
  31565. monotone_constraints='()', n_estimators=100,
  31566. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31567. random_state=6597, reg_alpha=0, reg_lambda=1,
  31568. scale_pos_weight=1, subsample=1,
  31569. tree_method='gpu_hist', validate_parameters=1,
  31570. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31571. 2022-04-07 00:31:16,970:INFO:Checking exceptions
  31572. 2022-04-07 00:31:16,971:INFO:Preloading libraries
  31573. 2022-04-07 00:31:17,663:INFO:Initializing predict_model()
  31574. 2022-04-07 00:31:17,664:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31575. DataTypes_Auto_infer(ml_usecase='classification',
  31576. target='label')),
  31577. ('imputer',
  31578. Simple_Imputer(categorical_strategy='not_available',
  31579. fill_value_categorical=None,
  31580. fill_value_numerical=None,
  31581. numeric_strategy='mean',
  31582. target_variable=None)),
  31583. ('new_levels1',
  31584. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31585. 'frequent',
  31586. targe...
  31587. gamma=0, gpu_id=0, importance_type=None,
  31588. interaction_constraints='', learning_rate=0.05,
  31589. max_delta_step=0, max_depth=64, max_leaves=4096,
  31590. min_child_weight=1, missing=nan,
  31591. monotone_constraints='()', n_estimators=100,
  31592. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31593. random_state=6597, reg_alpha=0, reg_lambda=1,
  31594. scale_pos_weight=1, subsample=1,
  31595. tree_method='gpu_hist', validate_parameters=1,
  31596. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31597. 2022-04-07 00:31:17,670:INFO:Checking exceptions
  31598. 2022-04-07 00:31:17,671:INFO:Preloading libraries
  31599. 2022-04-07 00:31:18,254:INFO:Initializing predict_model()
  31600. 2022-04-07 00:31:18,255:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31601. DataTypes_Auto_infer(ml_usecase='classification',
  31602. target='label')),
  31603. ('imputer',
  31604. Simple_Imputer(categorical_strategy='not_available',
  31605. fill_value_categorical=None,
  31606. fill_value_numerical=None,
  31607. numeric_strategy='mean',
  31608. target_variable=None)),
  31609. ('new_levels1',
  31610. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31611. 'frequent',
  31612. targe...
  31613. gamma=0, gpu_id=0, importance_type=None,
  31614. interaction_constraints='', learning_rate=0.05,
  31615. max_delta_step=0, max_depth=64, max_leaves=4096,
  31616. min_child_weight=1, missing=nan,
  31617. monotone_constraints='()', n_estimators=100,
  31618. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31619. random_state=6597, reg_alpha=0, reg_lambda=1,
  31620. scale_pos_weight=1, subsample=1,
  31621. tree_method='gpu_hist', validate_parameters=1,
  31622. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31623. 2022-04-07 00:31:18,255:INFO:Checking exceptions
  31624. 2022-04-07 00:31:18,256:INFO:Preloading libraries
  31625. 2022-04-07 00:31:18,802:INFO:Initializing predict_model()
  31626. 2022-04-07 00:31:18,803:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31627. DataTypes_Auto_infer(ml_usecase='classification',
  31628. target='label')),
  31629. ('imputer',
  31630. Simple_Imputer(categorical_strategy='not_available',
  31631. fill_value_categorical=None,
  31632. fill_value_numerical=None,
  31633. numeric_strategy='mean',
  31634. target_variable=None)),
  31635. ('new_levels1',
  31636. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31637. 'frequent',
  31638. targe...
  31639. gamma=0, gpu_id=0, importance_type=None,
  31640. interaction_constraints='', learning_rate=0.05,
  31641. max_delta_step=0, max_depth=64, max_leaves=4096,
  31642. min_child_weight=1, missing=nan,
  31643. monotone_constraints='()', n_estimators=100,
  31644. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31645. random_state=6597, reg_alpha=0, reg_lambda=1,
  31646. scale_pos_weight=1, subsample=1,
  31647. tree_method='gpu_hist', validate_parameters=1,
  31648. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31649. 2022-04-07 00:31:18,804:INFO:Checking exceptions
  31650. 2022-04-07 00:31:18,804:INFO:Preloading libraries
  31651. 2022-04-07 00:31:19,384:INFO:Initializing predict_model()
  31652. 2022-04-07 00:31:19,385:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31653. DataTypes_Auto_infer(ml_usecase='classification',
  31654. target='label')),
  31655. ('imputer',
  31656. Simple_Imputer(categorical_strategy='not_available',
  31657. fill_value_categorical=None,
  31658. fill_value_numerical=None,
  31659. numeric_strategy='mean',
  31660. target_variable=None)),
  31661. ('new_levels1',
  31662. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31663. 'frequent',
  31664. targe...
  31665. gamma=0, gpu_id=0, importance_type=None,
  31666. interaction_constraints='', learning_rate=0.05,
  31667. max_delta_step=0, max_depth=64, max_leaves=4096,
  31668. min_child_weight=1, missing=nan,
  31669. monotone_constraints='()', n_estimators=100,
  31670. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31671. random_state=6597, reg_alpha=0, reg_lambda=1,
  31672. scale_pos_weight=1, subsample=1,
  31673. tree_method='gpu_hist', validate_parameters=1,
  31674. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31675. 2022-04-07 00:31:19,385:INFO:Checking exceptions
  31676. 2022-04-07 00:31:19,385:INFO:Preloading libraries
  31677. 2022-04-07 00:31:19,989:INFO:Initializing predict_model()
  31678. 2022-04-07 00:31:19,990:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31679. DataTypes_Auto_infer(ml_usecase='classification',
  31680. target='label')),
  31681. ('imputer',
  31682. Simple_Imputer(categorical_strategy='not_available',
  31683. fill_value_categorical=None,
  31684. fill_value_numerical=None,
  31685. numeric_strategy='mean',
  31686. target_variable=None)),
  31687. ('new_levels1',
  31688. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31689. 'frequent',
  31690. targe...
  31691. gamma=0, gpu_id=0, importance_type=None,
  31692. interaction_constraints='', learning_rate=0.05,
  31693. max_delta_step=0, max_depth=64, max_leaves=4096,
  31694. min_child_weight=1, missing=nan,
  31695. monotone_constraints='()', n_estimators=100,
  31696. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31697. random_state=6597, reg_alpha=0, reg_lambda=1,
  31698. scale_pos_weight=1, subsample=1,
  31699. tree_method='gpu_hist', validate_parameters=1,
  31700. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31701. 2022-04-07 00:31:19,990:INFO:Checking exceptions
  31702. 2022-04-07 00:31:19,991:INFO:Preloading libraries
  31703. 2022-04-07 00:31:20,521:INFO:Initializing predict_model()
  31704. 2022-04-07 00:31:20,524:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31705. DataTypes_Auto_infer(ml_usecase='classification',
  31706. target='label')),
  31707. ('imputer',
  31708. Simple_Imputer(categorical_strategy='not_available',
  31709. fill_value_categorical=None,
  31710. fill_value_numerical=None,
  31711. numeric_strategy='mean',
  31712. target_variable=None)),
  31713. ('new_levels1',
  31714. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31715. 'frequent',
  31716. targe...
  31717. gamma=0, gpu_id=0, importance_type=None,
  31718. interaction_constraints='', learning_rate=0.05,
  31719. max_delta_step=0, max_depth=64, max_leaves=4096,
  31720. min_child_weight=1, missing=nan,
  31721. monotone_constraints='()', n_estimators=100,
  31722. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31723. random_state=6597, reg_alpha=0, reg_lambda=1,
  31724. scale_pos_weight=1, subsample=1,
  31725. tree_method='gpu_hist', validate_parameters=1,
  31726. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31727. 2022-04-07 00:31:20,525:INFO:Checking exceptions
  31728. 2022-04-07 00:31:20,527:INFO:Preloading libraries
  31729. 2022-04-07 00:31:21,093:INFO:Initializing predict_model()
  31730. 2022-04-07 00:31:21,094:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31731. DataTypes_Auto_infer(ml_usecase='classification',
  31732. target='label')),
  31733. ('imputer',
  31734. Simple_Imputer(categorical_strategy='not_available',
  31735. fill_value_categorical=None,
  31736. fill_value_numerical=None,
  31737. numeric_strategy='mean',
  31738. target_variable=None)),
  31739. ('new_levels1',
  31740. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31741. 'frequent',
  31742. targe...
  31743. gamma=0, gpu_id=0, importance_type=None,
  31744. interaction_constraints='', learning_rate=0.05,
  31745. max_delta_step=0, max_depth=64, max_leaves=4096,
  31746. min_child_weight=1, missing=nan,
  31747. monotone_constraints='()', n_estimators=100,
  31748. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31749. random_state=6597, reg_alpha=0, reg_lambda=1,
  31750. scale_pos_weight=1, subsample=1,
  31751. tree_method='gpu_hist', validate_parameters=1,
  31752. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31753. 2022-04-07 00:31:21,095:INFO:Checking exceptions
  31754. 2022-04-07 00:31:21,095:INFO:Preloading libraries
  31755. 2022-04-07 00:31:21,792:INFO:Initializing predict_model()
  31756. 2022-04-07 00:31:21,793:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31757. DataTypes_Auto_infer(ml_usecase='classification',
  31758. target='label')),
  31759. ('imputer',
  31760. Simple_Imputer(categorical_strategy='not_available',
  31761. fill_value_categorical=None,
  31762. fill_value_numerical=None,
  31763. numeric_strategy='mean',
  31764. target_variable=None)),
  31765. ('new_levels1',
  31766. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31767. 'frequent',
  31768. targe...
  31769. gamma=0, gpu_id=0, importance_type=None,
  31770. interaction_constraints='', learning_rate=0.05,
  31771. max_delta_step=0, max_depth=64, max_leaves=4096,
  31772. min_child_weight=1, missing=nan,
  31773. monotone_constraints='()', n_estimators=100,
  31774. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31775. random_state=6597, reg_alpha=0, reg_lambda=1,
  31776. scale_pos_weight=1, subsample=1,
  31777. tree_method='gpu_hist', validate_parameters=1,
  31778. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31779. 2022-04-07 00:31:21,796:INFO:Checking exceptions
  31780. 2022-04-07 00:31:21,799:INFO:Preloading libraries
  31781. 2022-04-07 00:31:22,351:INFO:Initializing predict_model()
  31782. 2022-04-07 00:31:22,351:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31783. DataTypes_Auto_infer(ml_usecase='classification',
  31784. target='label')),
  31785. ('imputer',
  31786. Simple_Imputer(categorical_strategy='not_available',
  31787. fill_value_categorical=None,
  31788. fill_value_numerical=None,
  31789. numeric_strategy='mean',
  31790. target_variable=None)),
  31791. ('new_levels1',
  31792. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31793. 'frequent',
  31794. targe...
  31795. gamma=0, gpu_id=0, importance_type=None,
  31796. interaction_constraints='', learning_rate=0.05,
  31797. max_delta_step=0, max_depth=64, max_leaves=4096,
  31798. min_child_weight=1, missing=nan,
  31799. monotone_constraints='()', n_estimators=100,
  31800. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31801. random_state=6597, reg_alpha=0, reg_lambda=1,
  31802. scale_pos_weight=1, subsample=1,
  31803. tree_method='gpu_hist', validate_parameters=1,
  31804. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31805. 2022-04-07 00:31:22,352:INFO:Checking exceptions
  31806. 2022-04-07 00:31:22,352:INFO:Preloading libraries
  31807. 2022-04-07 00:31:22,970:INFO:Initializing predict_model()
  31808. 2022-04-07 00:31:22,971:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31809. DataTypes_Auto_infer(ml_usecase='classification',
  31810. target='label')),
  31811. ('imputer',
  31812. Simple_Imputer(categorical_strategy='not_available',
  31813. fill_value_categorical=None,
  31814. fill_value_numerical=None,
  31815. numeric_strategy='mean',
  31816. target_variable=None)),
  31817. ('new_levels1',
  31818. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31819. 'frequent',
  31820. targe...
  31821. gamma=0, gpu_id=0, importance_type=None,
  31822. interaction_constraints='', learning_rate=0.05,
  31823. max_delta_step=0, max_depth=64, max_leaves=4096,
  31824. min_child_weight=1, missing=nan,
  31825. monotone_constraints='()', n_estimators=100,
  31826. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31827. random_state=6597, reg_alpha=0, reg_lambda=1,
  31828. scale_pos_weight=1, subsample=1,
  31829. tree_method='gpu_hist', validate_parameters=1,
  31830. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31831. 2022-04-07 00:31:22,971:INFO:Checking exceptions
  31832. 2022-04-07 00:31:22,971:INFO:Preloading libraries
  31833. 2022-04-07 00:31:23,646:INFO:Initializing predict_model()
  31834. 2022-04-07 00:31:23,647:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31835. DataTypes_Auto_infer(ml_usecase='classification',
  31836. target='label')),
  31837. ('imputer',
  31838. Simple_Imputer(categorical_strategy='not_available',
  31839. fill_value_categorical=None,
  31840. fill_value_numerical=None,
  31841. numeric_strategy='mean',
  31842. target_variable=None)),
  31843. ('new_levels1',
  31844. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31845. 'frequent',
  31846. targe...
  31847. gamma=0, gpu_id=0, importance_type=None,
  31848. interaction_constraints='', learning_rate=0.05,
  31849. max_delta_step=0, max_depth=64, max_leaves=4096,
  31850. min_child_weight=1, missing=nan,
  31851. monotone_constraints='()', n_estimators=100,
  31852. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31853. random_state=6597, reg_alpha=0, reg_lambda=1,
  31854. scale_pos_weight=1, subsample=1,
  31855. tree_method='gpu_hist', validate_parameters=1,
  31856. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31857. 2022-04-07 00:31:23,649:INFO:Checking exceptions
  31858. 2022-04-07 00:31:23,652:INFO:Preloading libraries
  31859. 2022-04-07 00:31:55,525:INFO:Initializing predict_model()
  31860. 2022-04-07 00:31:55,526:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31861. DataTypes_Auto_infer(ml_usecase='classification',
  31862. target='label')),
  31863. ('imputer',
  31864. Simple_Imputer(categorical_strategy='not_available',
  31865. fill_value_categorical=None,
  31866. fill_value_numerical=None,
  31867. numeric_strategy='mean',
  31868. target_variable=None)),
  31869. ('new_levels1',
  31870. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31871. 'frequent',
  31872. targe...
  31873. gamma=0, gpu_id=0, importance_type=None,
  31874. interaction_constraints='', learning_rate=0.05,
  31875. max_delta_step=0, max_depth=64, max_leaves=4096,
  31876. min_child_weight=1, missing=nan,
  31877. monotone_constraints='()', n_estimators=100,
  31878. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31879. random_state=6597, reg_alpha=0, reg_lambda=1,
  31880. scale_pos_weight=1, subsample=1,
  31881. tree_method='gpu_hist', validate_parameters=1,
  31882. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31883. 2022-04-07 00:31:55,526:INFO:Checking exceptions
  31884. 2022-04-07 00:31:55,527:INFO:Preloading libraries
  31885. 2022-04-07 00:31:56,078:INFO:Initializing predict_model()
  31886. 2022-04-07 00:31:56,079:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31887. DataTypes_Auto_infer(ml_usecase='classification',
  31888. target='label')),
  31889. ('imputer',
  31890. Simple_Imputer(categorical_strategy='not_available',
  31891. fill_value_categorical=None,
  31892. fill_value_numerical=None,
  31893. numeric_strategy='mean',
  31894. target_variable=None)),
  31895. ('new_levels1',
  31896. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31897. 'frequent',
  31898. targe...
  31899. gamma=0, gpu_id=0, importance_type=None,
  31900. interaction_constraints='', learning_rate=0.05,
  31901. max_delta_step=0, max_depth=64, max_leaves=4096,
  31902. min_child_weight=1, missing=nan,
  31903. monotone_constraints='()', n_estimators=100,
  31904. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31905. random_state=6597, reg_alpha=0, reg_lambda=1,
  31906. scale_pos_weight=1, subsample=1,
  31907. tree_method='gpu_hist', validate_parameters=1,
  31908. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31909. 2022-04-07 00:31:56,079:INFO:Checking exceptions
  31910. 2022-04-07 00:31:56,079:INFO:Preloading libraries
  31911. 2022-04-07 00:31:56,622:INFO:Initializing predict_model()
  31912. 2022-04-07 00:31:56,623:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31913. DataTypes_Auto_infer(ml_usecase='classification',
  31914. target='label')),
  31915. ('imputer',
  31916. Simple_Imputer(categorical_strategy='not_available',
  31917. fill_value_categorical=None,
  31918. fill_value_numerical=None,
  31919. numeric_strategy='mean',
  31920. target_variable=None)),
  31921. ('new_levels1',
  31922. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31923. 'frequent',
  31924. targe...
  31925. gamma=0, gpu_id=0, importance_type=None,
  31926. interaction_constraints='', learning_rate=0.05,
  31927. max_delta_step=0, max_depth=64, max_leaves=4096,
  31928. min_child_weight=1, missing=nan,
  31929. monotone_constraints='()', n_estimators=100,
  31930. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31931. random_state=6597, reg_alpha=0, reg_lambda=1,
  31932. scale_pos_weight=1, subsample=1,
  31933. tree_method='gpu_hist', validate_parameters=1,
  31934. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31935. 2022-04-07 00:31:56,623:INFO:Checking exceptions
  31936. 2022-04-07 00:31:56,623:INFO:Preloading libraries
  31937. 2022-04-07 00:31:57,188:INFO:Initializing predict_model()
  31938. 2022-04-07 00:31:57,189:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31939. DataTypes_Auto_infer(ml_usecase='classification',
  31940. target='label')),
  31941. ('imputer',
  31942. Simple_Imputer(categorical_strategy='not_available',
  31943. fill_value_categorical=None,
  31944. fill_value_numerical=None,
  31945. numeric_strategy='mean',
  31946. target_variable=None)),
  31947. ('new_levels1',
  31948. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31949. 'frequent',
  31950. targe...
  31951. gamma=0, gpu_id=0, importance_type=None,
  31952. interaction_constraints='', learning_rate=0.05,
  31953. max_delta_step=0, max_depth=64, max_leaves=4096,
  31954. min_child_weight=1, missing=nan,
  31955. monotone_constraints='()', n_estimators=100,
  31956. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31957. random_state=6597, reg_alpha=0, reg_lambda=1,
  31958. scale_pos_weight=1, subsample=1,
  31959. tree_method='gpu_hist', validate_parameters=1,
  31960. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31961. 2022-04-07 00:31:57,189:INFO:Checking exceptions
  31962. 2022-04-07 00:31:57,190:INFO:Preloading libraries
  31963. 2022-04-07 00:31:57,761:INFO:Initializing predict_model()
  31964. 2022-04-07 00:31:57,762:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31965. DataTypes_Auto_infer(ml_usecase='classification',
  31966. target='label')),
  31967. ('imputer',
  31968. Simple_Imputer(categorical_strategy='not_available',
  31969. fill_value_categorical=None,
  31970. fill_value_numerical=None,
  31971. numeric_strategy='mean',
  31972. target_variable=None)),
  31973. ('new_levels1',
  31974. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  31975. 'frequent',
  31976. targe...
  31977. gamma=0, gpu_id=0, importance_type=None,
  31978. interaction_constraints='', learning_rate=0.05,
  31979. max_delta_step=0, max_depth=64, max_leaves=4096,
  31980. min_child_weight=1, missing=nan,
  31981. monotone_constraints='()', n_estimators=100,
  31982. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  31983. random_state=6597, reg_alpha=0, reg_lambda=1,
  31984. scale_pos_weight=1, subsample=1,
  31985. tree_method='gpu_hist', validate_parameters=1,
  31986. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  31987. 2022-04-07 00:31:57,762:INFO:Checking exceptions
  31988. 2022-04-07 00:31:57,762:INFO:Preloading libraries
  31989. 2022-04-07 00:31:58,322:INFO:Initializing predict_model()
  31990. 2022-04-07 00:31:58,323:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  31991. DataTypes_Auto_infer(ml_usecase='classification',
  31992. target='label')),
  31993. ('imputer',
  31994. Simple_Imputer(categorical_strategy='not_available',
  31995. fill_value_categorical=None,
  31996. fill_value_numerical=None,
  31997. numeric_strategy='mean',
  31998. target_variable=None)),
  31999. ('new_levels1',
  32000. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32001. 'frequent',
  32002. targe...
  32003. gamma=0, gpu_id=0, importance_type=None,
  32004. interaction_constraints='', learning_rate=0.05,
  32005. max_delta_step=0, max_depth=64, max_leaves=4096,
  32006. min_child_weight=1, missing=nan,
  32007. monotone_constraints='()', n_estimators=100,
  32008. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32009. random_state=6597, reg_alpha=0, reg_lambda=1,
  32010. scale_pos_weight=1, subsample=1,
  32011. tree_method='gpu_hist', validate_parameters=1,
  32012. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32013. 2022-04-07 00:31:58,323:INFO:Checking exceptions
  32014. 2022-04-07 00:31:58,323:INFO:Preloading libraries
  32015. 2022-04-07 00:31:58,924:INFO:Initializing predict_model()
  32016. 2022-04-07 00:31:58,925:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32017. DataTypes_Auto_infer(ml_usecase='classification',
  32018. target='label')),
  32019. ('imputer',
  32020. Simple_Imputer(categorical_strategy='not_available',
  32021. fill_value_categorical=None,
  32022. fill_value_numerical=None,
  32023. numeric_strategy='mean',
  32024. target_variable=None)),
  32025. ('new_levels1',
  32026. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32027. 'frequent',
  32028. targe...
  32029. gamma=0, gpu_id=0, importance_type=None,
  32030. interaction_constraints='', learning_rate=0.05,
  32031. max_delta_step=0, max_depth=64, max_leaves=4096,
  32032. min_child_weight=1, missing=nan,
  32033. monotone_constraints='()', n_estimators=100,
  32034. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32035. random_state=6597, reg_alpha=0, reg_lambda=1,
  32036. scale_pos_weight=1, subsample=1,
  32037. tree_method='gpu_hist', validate_parameters=1,
  32038. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32039. 2022-04-07 00:31:58,926:INFO:Checking exceptions
  32040. 2022-04-07 00:31:58,927:INFO:Preloading libraries
  32041. 2022-04-07 00:31:59,486:INFO:Initializing predict_model()
  32042. 2022-04-07 00:31:59,492:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32043. DataTypes_Auto_infer(ml_usecase='classification',
  32044. target='label')),
  32045. ('imputer',
  32046. Simple_Imputer(categorical_strategy='not_available',
  32047. fill_value_categorical=None,
  32048. fill_value_numerical=None,
  32049. numeric_strategy='mean',
  32050. target_variable=None)),
  32051. ('new_levels1',
  32052. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32053. 'frequent',
  32054. targe...
  32055. gamma=0, gpu_id=0, importance_type=None,
  32056. interaction_constraints='', learning_rate=0.05,
  32057. max_delta_step=0, max_depth=64, max_leaves=4096,
  32058. min_child_weight=1, missing=nan,
  32059. monotone_constraints='()', n_estimators=100,
  32060. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32061. random_state=6597, reg_alpha=0, reg_lambda=1,
  32062. scale_pos_weight=1, subsample=1,
  32063. tree_method='gpu_hist', validate_parameters=1,
  32064. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32065. 2022-04-07 00:31:59,495:INFO:Checking exceptions
  32066. 2022-04-07 00:31:59,495:INFO:Preloading libraries
  32067. 2022-04-07 00:32:00,084:INFO:Initializing predict_model()
  32068. 2022-04-07 00:32:00,087:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32069. DataTypes_Auto_infer(ml_usecase='classification',
  32070. target='label')),
  32071. ('imputer',
  32072. Simple_Imputer(categorical_strategy='not_available',
  32073. fill_value_categorical=None,
  32074. fill_value_numerical=None,
  32075. numeric_strategy='mean',
  32076. target_variable=None)),
  32077. ('new_levels1',
  32078. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32079. 'frequent',
  32080. targe...
  32081. gamma=0, gpu_id=0, importance_type=None,
  32082. interaction_constraints='', learning_rate=0.05,
  32083. max_delta_step=0, max_depth=64, max_leaves=4096,
  32084. min_child_weight=1, missing=nan,
  32085. monotone_constraints='()', n_estimators=100,
  32086. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32087. random_state=6597, reg_alpha=0, reg_lambda=1,
  32088. scale_pos_weight=1, subsample=1,
  32089. tree_method='gpu_hist', validate_parameters=1,
  32090. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32091. 2022-04-07 00:32:00,093:INFO:Checking exceptions
  32092. 2022-04-07 00:32:00,094:INFO:Preloading libraries
  32093. 2022-04-07 00:32:00,640:INFO:Initializing predict_model()
  32094. 2022-04-07 00:32:00,641:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32095. DataTypes_Auto_infer(ml_usecase='classification',
  32096. target='label')),
  32097. ('imputer',
  32098. Simple_Imputer(categorical_strategy='not_available',
  32099. fill_value_categorical=None,
  32100. fill_value_numerical=None,
  32101. numeric_strategy='mean',
  32102. target_variable=None)),
  32103. ('new_levels1',
  32104. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32105. 'frequent',
  32106. targe...
  32107. gamma=0, gpu_id=0, importance_type=None,
  32108. interaction_constraints='', learning_rate=0.05,
  32109. max_delta_step=0, max_depth=64, max_leaves=4096,
  32110. min_child_weight=1, missing=nan,
  32111. monotone_constraints='()', n_estimators=100,
  32112. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32113. random_state=6597, reg_alpha=0, reg_lambda=1,
  32114. scale_pos_weight=1, subsample=1,
  32115. tree_method='gpu_hist', validate_parameters=1,
  32116. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32117. 2022-04-07 00:32:00,642:INFO:Checking exceptions
  32118. 2022-04-07 00:32:00,642:INFO:Preloading libraries
  32119. 2022-04-07 00:32:51,428:INFO:Initializing predict_model()
  32120. 2022-04-07 00:32:51,431:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32121. DataTypes_Auto_infer(ml_usecase='classification',
  32122. target='label')),
  32123. ('imputer',
  32124. Simple_Imputer(categorical_strategy='not_available',
  32125. fill_value_categorical=None,
  32126. fill_value_numerical=None,
  32127. numeric_strategy='mean',
  32128. target_variable=None)),
  32129. ('new_levels1',
  32130. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32131. 'frequent',
  32132. targe...
  32133. gamma=0, gpu_id=0, importance_type=None,
  32134. interaction_constraints='', learning_rate=0.05,
  32135. max_delta_step=0, max_depth=64, max_leaves=4096,
  32136. min_child_weight=1, missing=nan,
  32137. monotone_constraints='()', n_estimators=100,
  32138. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32139. random_state=6597, reg_alpha=0, reg_lambda=1,
  32140. scale_pos_weight=1, subsample=1,
  32141. tree_method='gpu_hist', validate_parameters=1,
  32142. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32143. 2022-04-07 00:32:51,432:INFO:Checking exceptions
  32144. 2022-04-07 00:32:51,433:INFO:Preloading libraries
  32145. 2022-04-07 00:32:52,029:INFO:Initializing predict_model()
  32146. 2022-04-07 00:32:52,030:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32147. DataTypes_Auto_infer(ml_usecase='classification',
  32148. target='label')),
  32149. ('imputer',
  32150. Simple_Imputer(categorical_strategy='not_available',
  32151. fill_value_categorical=None,
  32152. fill_value_numerical=None,
  32153. numeric_strategy='mean',
  32154. target_variable=None)),
  32155. ('new_levels1',
  32156. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32157. 'frequent',
  32158. targe...
  32159. gamma=0, gpu_id=0, importance_type=None,
  32160. interaction_constraints='', learning_rate=0.05,
  32161. max_delta_step=0, max_depth=64, max_leaves=4096,
  32162. min_child_weight=1, missing=nan,
  32163. monotone_constraints='()', n_estimators=100,
  32164. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32165. random_state=6597, reg_alpha=0, reg_lambda=1,
  32166. scale_pos_weight=1, subsample=1,
  32167. tree_method='gpu_hist', validate_parameters=1,
  32168. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32169. 2022-04-07 00:32:52,030:INFO:Checking exceptions
  32170. 2022-04-07 00:32:52,030:INFO:Preloading libraries
  32171. 2022-04-07 00:32:52,658:INFO:Initializing predict_model()
  32172. 2022-04-07 00:32:52,658:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32173. DataTypes_Auto_infer(ml_usecase='classification',
  32174. target='label')),
  32175. ('imputer',
  32176. Simple_Imputer(categorical_strategy='not_available',
  32177. fill_value_categorical=None,
  32178. fill_value_numerical=None,
  32179. numeric_strategy='mean',
  32180. target_variable=None)),
  32181. ('new_levels1',
  32182. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32183. 'frequent',
  32184. targe...
  32185. gamma=0, gpu_id=0, importance_type=None,
  32186. interaction_constraints='', learning_rate=0.05,
  32187. max_delta_step=0, max_depth=64, max_leaves=4096,
  32188. min_child_weight=1, missing=nan,
  32189. monotone_constraints='()', n_estimators=100,
  32190. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32191. random_state=6597, reg_alpha=0, reg_lambda=1,
  32192. scale_pos_weight=1, subsample=1,
  32193. tree_method='gpu_hist', validate_parameters=1,
  32194. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32195. 2022-04-07 00:32:52,659:INFO:Checking exceptions
  32196. 2022-04-07 00:32:52,659:INFO:Preloading libraries
  32197. 2022-04-07 00:32:53,254:INFO:Initializing predict_model()
  32198. 2022-04-07 00:32:53,255:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32199. DataTypes_Auto_infer(ml_usecase='classification',
  32200. target='label')),
  32201. ('imputer',
  32202. Simple_Imputer(categorical_strategy='not_available',
  32203. fill_value_categorical=None,
  32204. fill_value_numerical=None,
  32205. numeric_strategy='mean',
  32206. target_variable=None)),
  32207. ('new_levels1',
  32208. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32209. 'frequent',
  32210. targe...
  32211. gamma=0, gpu_id=0, importance_type=None,
  32212. interaction_constraints='', learning_rate=0.05,
  32213. max_delta_step=0, max_depth=64, max_leaves=4096,
  32214. min_child_weight=1, missing=nan,
  32215. monotone_constraints='()', n_estimators=100,
  32216. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32217. random_state=6597, reg_alpha=0, reg_lambda=1,
  32218. scale_pos_weight=1, subsample=1,
  32219. tree_method='gpu_hist', validate_parameters=1,
  32220. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32221. 2022-04-07 00:32:53,255:INFO:Checking exceptions
  32222. 2022-04-07 00:32:53,256:INFO:Preloading libraries
  32223. 2022-04-07 00:32:53,795:INFO:Initializing predict_model()
  32224. 2022-04-07 00:32:53,795:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32225. DataTypes_Auto_infer(ml_usecase='classification',
  32226. target='label')),
  32227. ('imputer',
  32228. Simple_Imputer(categorical_strategy='not_available',
  32229. fill_value_categorical=None,
  32230. fill_value_numerical=None,
  32231. numeric_strategy='mean',
  32232. target_variable=None)),
  32233. ('new_levels1',
  32234. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32235. 'frequent',
  32236. targe...
  32237. gamma=0, gpu_id=0, importance_type=None,
  32238. interaction_constraints='', learning_rate=0.05,
  32239. max_delta_step=0, max_depth=64, max_leaves=4096,
  32240. min_child_weight=1, missing=nan,
  32241. monotone_constraints='()', n_estimators=100,
  32242. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32243. random_state=6597, reg_alpha=0, reg_lambda=1,
  32244. scale_pos_weight=1, subsample=1,
  32245. tree_method='gpu_hist', validate_parameters=1,
  32246. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32247. 2022-04-07 00:32:53,796:INFO:Checking exceptions
  32248. 2022-04-07 00:32:53,796:INFO:Preloading libraries
  32249. 2022-04-07 00:32:54,394:INFO:Initializing predict_model()
  32250. 2022-04-07 00:32:54,395:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32251. DataTypes_Auto_infer(ml_usecase='classification',
  32252. target='label')),
  32253. ('imputer',
  32254. Simple_Imputer(categorical_strategy='not_available',
  32255. fill_value_categorical=None,
  32256. fill_value_numerical=None,
  32257. numeric_strategy='mean',
  32258. target_variable=None)),
  32259. ('new_levels1',
  32260. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32261. 'frequent',
  32262. targe...
  32263. gamma=0, gpu_id=0, importance_type=None,
  32264. interaction_constraints='', learning_rate=0.05,
  32265. max_delta_step=0, max_depth=64, max_leaves=4096,
  32266. min_child_weight=1, missing=nan,
  32267. monotone_constraints='()', n_estimators=100,
  32268. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32269. random_state=6597, reg_alpha=0, reg_lambda=1,
  32270. scale_pos_weight=1, subsample=1,
  32271. tree_method='gpu_hist', validate_parameters=1,
  32272. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32273. 2022-04-07 00:32:54,395:INFO:Checking exceptions
  32274. 2022-04-07 00:32:54,395:INFO:Preloading libraries
  32275. 2022-04-07 00:32:54,954:INFO:Initializing predict_model()
  32276. 2022-04-07 00:32:54,955:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32277. DataTypes_Auto_infer(ml_usecase='classification',
  32278. target='label')),
  32279. ('imputer',
  32280. Simple_Imputer(categorical_strategy='not_available',
  32281. fill_value_categorical=None,
  32282. fill_value_numerical=None,
  32283. numeric_strategy='mean',
  32284. target_variable=None)),
  32285. ('new_levels1',
  32286. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32287. 'frequent',
  32288. targe...
  32289. gamma=0, gpu_id=0, importance_type=None,
  32290. interaction_constraints='', learning_rate=0.05,
  32291. max_delta_step=0, max_depth=64, max_leaves=4096,
  32292. min_child_weight=1, missing=nan,
  32293. monotone_constraints='()', n_estimators=100,
  32294. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32295. random_state=6597, reg_alpha=0, reg_lambda=1,
  32296. scale_pos_weight=1, subsample=1,
  32297. tree_method='gpu_hist', validate_parameters=1,
  32298. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32299. 2022-04-07 00:32:54,955:INFO:Checking exceptions
  32300. 2022-04-07 00:32:54,956:INFO:Preloading libraries
  32301. 2022-04-07 00:32:55,531:INFO:Initializing predict_model()
  32302. 2022-04-07 00:32:55,532:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32303. DataTypes_Auto_infer(ml_usecase='classification',
  32304. target='label')),
  32305. ('imputer',
  32306. Simple_Imputer(categorical_strategy='not_available',
  32307. fill_value_categorical=None,
  32308. fill_value_numerical=None,
  32309. numeric_strategy='mean',
  32310. target_variable=None)),
  32311. ('new_levels1',
  32312. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32313. 'frequent',
  32314. targe...
  32315. gamma=0, gpu_id=0, importance_type=None,
  32316. interaction_constraints='', learning_rate=0.05,
  32317. max_delta_step=0, max_depth=64, max_leaves=4096,
  32318. min_child_weight=1, missing=nan,
  32319. monotone_constraints='()', n_estimators=100,
  32320. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32321. random_state=6597, reg_alpha=0, reg_lambda=1,
  32322. scale_pos_weight=1, subsample=1,
  32323. tree_method='gpu_hist', validate_parameters=1,
  32324. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32325. 2022-04-07 00:32:55,532:INFO:Checking exceptions
  32326. 2022-04-07 00:32:55,532:INFO:Preloading libraries
  32327. 2022-04-07 00:32:56,257:INFO:Initializing predict_model()
  32328. 2022-04-07 00:32:56,258:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32329. DataTypes_Auto_infer(ml_usecase='classification',
  32330. target='label')),
  32331. ('imputer',
  32332. Simple_Imputer(categorical_strategy='not_available',
  32333. fill_value_categorical=None,
  32334. fill_value_numerical=None,
  32335. numeric_strategy='mean',
  32336. target_variable=None)),
  32337. ('new_levels1',
  32338. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32339. 'frequent',
  32340. targe...
  32341. gamma=0, gpu_id=0, importance_type=None,
  32342. interaction_constraints='', learning_rate=0.05,
  32343. max_delta_step=0, max_depth=64, max_leaves=4096,
  32344. min_child_weight=1, missing=nan,
  32345. monotone_constraints='()', n_estimators=100,
  32346. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32347. random_state=6597, reg_alpha=0, reg_lambda=1,
  32348. scale_pos_weight=1, subsample=1,
  32349. tree_method='gpu_hist', validate_parameters=1,
  32350. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32351. 2022-04-07 00:32:56,258:INFO:Checking exceptions
  32352. 2022-04-07 00:32:56,259:INFO:Preloading libraries
  32353. 2022-04-07 00:32:56,817:INFO:Initializing predict_model()
  32354. 2022-04-07 00:32:56,818:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32355. DataTypes_Auto_infer(ml_usecase='classification',
  32356. target='label')),
  32357. ('imputer',
  32358. Simple_Imputer(categorical_strategy='not_available',
  32359. fill_value_categorical=None,
  32360. fill_value_numerical=None,
  32361. numeric_strategy='mean',
  32362. target_variable=None)),
  32363. ('new_levels1',
  32364. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32365. 'frequent',
  32366. targe...
  32367. gamma=0, gpu_id=0, importance_type=None,
  32368. interaction_constraints='', learning_rate=0.05,
  32369. max_delta_step=0, max_depth=64, max_leaves=4096,
  32370. min_child_weight=1, missing=nan,
  32371. monotone_constraints='()', n_estimators=100,
  32372. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32373. random_state=6597, reg_alpha=0, reg_lambda=1,
  32374. scale_pos_weight=1, subsample=1,
  32375. tree_method='gpu_hist', validate_parameters=1,
  32376. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32377. 2022-04-07 00:32:56,819:INFO:Checking exceptions
  32378. 2022-04-07 00:32:56,819:INFO:Preloading libraries
  32379. 2022-04-07 00:35:02,125:INFO:Initializing predict_model()
  32380. 2022-04-07 00:35:02,126:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32381. DataTypes_Auto_infer(ml_usecase='classification',
  32382. target='label')),
  32383. ('imputer',
  32384. Simple_Imputer(categorical_strategy='not_available',
  32385. fill_value_categorical=None,
  32386. fill_value_numerical=None,
  32387. numeric_strategy='mean',
  32388. target_variable=None)),
  32389. ('new_levels1',
  32390. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32391. 'frequent',
  32392. targe...
  32393. gamma=0, gpu_id=0, importance_type=None,
  32394. interaction_constraints='', learning_rate=0.05,
  32395. max_delta_step=0, max_depth=64, max_leaves=4096,
  32396. min_child_weight=1, missing=nan,
  32397. monotone_constraints='()', n_estimators=100,
  32398. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32399. random_state=6597, reg_alpha=0, reg_lambda=1,
  32400. scale_pos_weight=1, subsample=1,
  32401. tree_method='gpu_hist', validate_parameters=1,
  32402. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32403. 2022-04-07 00:35:02,126:INFO:Checking exceptions
  32404. 2022-04-07 00:35:02,126:INFO:Preloading libraries
  32405. 2022-04-07 00:35:02,677:INFO:Initializing predict_model()
  32406. 2022-04-07 00:35:02,678:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32407. DataTypes_Auto_infer(ml_usecase='classification',
  32408. target='label')),
  32409. ('imputer',
  32410. Simple_Imputer(categorical_strategy='not_available',
  32411. fill_value_categorical=None,
  32412. fill_value_numerical=None,
  32413. numeric_strategy='mean',
  32414. target_variable=None)),
  32415. ('new_levels1',
  32416. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32417. 'frequent',
  32418. targe...
  32419. gamma=0, gpu_id=0, importance_type=None,
  32420. interaction_constraints='', learning_rate=0.05,
  32421. max_delta_step=0, max_depth=64, max_leaves=4096,
  32422. min_child_weight=1, missing=nan,
  32423. monotone_constraints='()', n_estimators=100,
  32424. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32425. random_state=6597, reg_alpha=0, reg_lambda=1,
  32426. scale_pos_weight=1, subsample=1,
  32427. tree_method='gpu_hist', validate_parameters=1,
  32428. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32429. 2022-04-07 00:35:02,679:INFO:Checking exceptions
  32430. 2022-04-07 00:35:02,679:INFO:Preloading libraries
  32431. 2022-04-07 00:35:03,270:INFO:Initializing predict_model()
  32432. 2022-04-07 00:35:03,270:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32433. DataTypes_Auto_infer(ml_usecase='classification',
  32434. target='label')),
  32435. ('imputer',
  32436. Simple_Imputer(categorical_strategy='not_available',
  32437. fill_value_categorical=None,
  32438. fill_value_numerical=None,
  32439. numeric_strategy='mean',
  32440. target_variable=None)),
  32441. ('new_levels1',
  32442. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32443. 'frequent',
  32444. targe...
  32445. gamma=0, gpu_id=0, importance_type=None,
  32446. interaction_constraints='', learning_rate=0.05,
  32447. max_delta_step=0, max_depth=64, max_leaves=4096,
  32448. min_child_weight=1, missing=nan,
  32449. monotone_constraints='()', n_estimators=100,
  32450. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32451. random_state=6597, reg_alpha=0, reg_lambda=1,
  32452. scale_pos_weight=1, subsample=1,
  32453. tree_method='gpu_hist', validate_parameters=1,
  32454. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32455. 2022-04-07 00:35:03,271:INFO:Checking exceptions
  32456. 2022-04-07 00:35:03,271:INFO:Preloading libraries
  32457. 2022-04-07 00:35:03,891:INFO:Initializing predict_model()
  32458. 2022-04-07 00:35:03,892:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32459. DataTypes_Auto_infer(ml_usecase='classification',
  32460. target='label')),
  32461. ('imputer',
  32462. Simple_Imputer(categorical_strategy='not_available',
  32463. fill_value_categorical=None,
  32464. fill_value_numerical=None,
  32465. numeric_strategy='mean',
  32466. target_variable=None)),
  32467. ('new_levels1',
  32468. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32469. 'frequent',
  32470. targe...
  32471. gamma=0, gpu_id=0, importance_type=None,
  32472. interaction_constraints='', learning_rate=0.05,
  32473. max_delta_step=0, max_depth=64, max_leaves=4096,
  32474. min_child_weight=1, missing=nan,
  32475. monotone_constraints='()', n_estimators=100,
  32476. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32477. random_state=6597, reg_alpha=0, reg_lambda=1,
  32478. scale_pos_weight=1, subsample=1,
  32479. tree_method='gpu_hist', validate_parameters=1,
  32480. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32481. 2022-04-07 00:35:03,892:INFO:Checking exceptions
  32482. 2022-04-07 00:35:03,892:INFO:Preloading libraries
  32483. 2022-04-07 00:35:04,533:INFO:Initializing predict_model()
  32484. 2022-04-07 00:35:04,534:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32485. DataTypes_Auto_infer(ml_usecase='classification',
  32486. target='label')),
  32487. ('imputer',
  32488. Simple_Imputer(categorical_strategy='not_available',
  32489. fill_value_categorical=None,
  32490. fill_value_numerical=None,
  32491. numeric_strategy='mean',
  32492. target_variable=None)),
  32493. ('new_levels1',
  32494. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32495. 'frequent',
  32496. targe...
  32497. gamma=0, gpu_id=0, importance_type=None,
  32498. interaction_constraints='', learning_rate=0.05,
  32499. max_delta_step=0, max_depth=64, max_leaves=4096,
  32500. min_child_weight=1, missing=nan,
  32501. monotone_constraints='()', n_estimators=100,
  32502. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32503. random_state=6597, reg_alpha=0, reg_lambda=1,
  32504. scale_pos_weight=1, subsample=1,
  32505. tree_method='gpu_hist', validate_parameters=1,
  32506. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32507. 2022-04-07 00:35:04,535:INFO:Checking exceptions
  32508. 2022-04-07 00:35:04,538:INFO:Preloading libraries
  32509. 2022-04-07 00:35:05,265:INFO:Initializing predict_model()
  32510. 2022-04-07 00:35:05,265:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32511. DataTypes_Auto_infer(ml_usecase='classification',
  32512. target='label')),
  32513. ('imputer',
  32514. Simple_Imputer(categorical_strategy='not_available',
  32515. fill_value_categorical=None,
  32516. fill_value_numerical=None,
  32517. numeric_strategy='mean',
  32518. target_variable=None)),
  32519. ('new_levels1',
  32520. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32521. 'frequent',
  32522. targe...
  32523. gamma=0, gpu_id=0, importance_type=None,
  32524. interaction_constraints='', learning_rate=0.05,
  32525. max_delta_step=0, max_depth=64, max_leaves=4096,
  32526. min_child_weight=1, missing=nan,
  32527. monotone_constraints='()', n_estimators=100,
  32528. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32529. random_state=6597, reg_alpha=0, reg_lambda=1,
  32530. scale_pos_weight=1, subsample=1,
  32531. tree_method='gpu_hist', validate_parameters=1,
  32532. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32533. 2022-04-07 00:35:05,266:INFO:Checking exceptions
  32534. 2022-04-07 00:35:05,266:INFO:Preloading libraries
  32535. 2022-04-07 00:35:05,994:INFO:Initializing predict_model()
  32536. 2022-04-07 00:35:05,997:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32537. DataTypes_Auto_infer(ml_usecase='classification',
  32538. target='label')),
  32539. ('imputer',
  32540. Simple_Imputer(categorical_strategy='not_available',
  32541. fill_value_categorical=None,
  32542. fill_value_numerical=None,
  32543. numeric_strategy='mean',
  32544. target_variable=None)),
  32545. ('new_levels1',
  32546. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32547. 'frequent',
  32548. targe...
  32549. gamma=0, gpu_id=0, importance_type=None,
  32550. interaction_constraints='', learning_rate=0.05,
  32551. max_delta_step=0, max_depth=64, max_leaves=4096,
  32552. min_child_weight=1, missing=nan,
  32553. monotone_constraints='()', n_estimators=100,
  32554. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32555. random_state=6597, reg_alpha=0, reg_lambda=1,
  32556. scale_pos_weight=1, subsample=1,
  32557. tree_method='gpu_hist', validate_parameters=1,
  32558. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32559. 2022-04-07 00:35:05,998:INFO:Checking exceptions
  32560. 2022-04-07 00:35:05,999:INFO:Preloading libraries
  32561. 2022-04-07 00:35:06,677:INFO:Initializing predict_model()
  32562. 2022-04-07 00:35:06,683:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32563. DataTypes_Auto_infer(ml_usecase='classification',
  32564. target='label')),
  32565. ('imputer',
  32566. Simple_Imputer(categorical_strategy='not_available',
  32567. fill_value_categorical=None,
  32568. fill_value_numerical=None,
  32569. numeric_strategy='mean',
  32570. target_variable=None)),
  32571. ('new_levels1',
  32572. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32573. 'frequent',
  32574. targe...
  32575. gamma=0, gpu_id=0, importance_type=None,
  32576. interaction_constraints='', learning_rate=0.05,
  32577. max_delta_step=0, max_depth=64, max_leaves=4096,
  32578. min_child_weight=1, missing=nan,
  32579. monotone_constraints='()', n_estimators=100,
  32580. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32581. random_state=6597, reg_alpha=0, reg_lambda=1,
  32582. scale_pos_weight=1, subsample=1,
  32583. tree_method='gpu_hist', validate_parameters=1,
  32584. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32585. 2022-04-07 00:35:06,686:INFO:Checking exceptions
  32586. 2022-04-07 00:35:06,687:INFO:Preloading libraries
  32587. 2022-04-07 00:35:07,335:INFO:Initializing predict_model()
  32588. 2022-04-07 00:35:07,335:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32589. DataTypes_Auto_infer(ml_usecase='classification',
  32590. target='label')),
  32591. ('imputer',
  32592. Simple_Imputer(categorical_strategy='not_available',
  32593. fill_value_categorical=None,
  32594. fill_value_numerical=None,
  32595. numeric_strategy='mean',
  32596. target_variable=None)),
  32597. ('new_levels1',
  32598. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32599. 'frequent',
  32600. targe...
  32601. gamma=0, gpu_id=0, importance_type=None,
  32602. interaction_constraints='', learning_rate=0.05,
  32603. max_delta_step=0, max_depth=64, max_leaves=4096,
  32604. min_child_weight=1, missing=nan,
  32605. monotone_constraints='()', n_estimators=100,
  32606. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32607. random_state=6597, reg_alpha=0, reg_lambda=1,
  32608. scale_pos_weight=1, subsample=1,
  32609. tree_method='gpu_hist', validate_parameters=1,
  32610. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32611. 2022-04-07 00:35:07,336:INFO:Checking exceptions
  32612. 2022-04-07 00:35:07,336:INFO:Preloading libraries
  32613. 2022-04-07 00:35:08,136:INFO:Initializing predict_model()
  32614. 2022-04-07 00:35:08,139:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  32615. DataTypes_Auto_infer(ml_usecase='classification',
  32616. target='label')),
  32617. ('imputer',
  32618. Simple_Imputer(categorical_strategy='not_available',
  32619. fill_value_categorical=None,
  32620. fill_value_numerical=None,
  32621. numeric_strategy='mean',
  32622. target_variable=None)),
  32623. ('new_levels1',
  32624. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  32625. 'frequent',
  32626. targe...
  32627. gamma=0, gpu_id=0, importance_type=None,
  32628. interaction_constraints='', learning_rate=0.05,
  32629. max_delta_step=0, max_depth=64, max_leaves=4096,
  32630. min_child_weight=1, missing=nan,
  32631. monotone_constraints='()', n_estimators=100,
  32632. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  32633. random_state=6597, reg_alpha=0, reg_lambda=1,
  32634. scale_pos_weight=1, subsample=1,
  32635. tree_method='gpu_hist', validate_parameters=1,
  32636. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  32637. 2022-04-07 00:35:08,140:INFO:Checking exceptions
  32638. 2022-04-07 00:35:08,141:INFO:Preloading libraries
  32639. 2022-04-07 11:43:43,767:INFO:Initializing load_model()
  32640. 2022-04-07 11:43:43,768:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  32641. 2022-04-07 11:46:36,395:INFO:Initializing load_model()
  32642. 2022-04-07 11:46:36,395:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  32643. 2022-04-07 13:14:09,498:INFO:PyCaret Supervised Module
  32644. 2022-04-07 13:14:09,499:INFO:ML Usecase: classification
  32645. 2022-04-07 13:14:09,499:INFO:version 2.3.9
  32646. 2022-04-07 13:14:09,499:INFO:Initializing setup()
  32647. 2022-04-07 13:14:09,499:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  32648. 2022-04-07 13:14:09,500:INFO:Checking environment
  32649. 2022-04-07 13:14:09,500:INFO:python_version: 3.8.13
  32650. 2022-04-07 13:14:09,500:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  32651. 2022-04-07 13:14:09,500:INFO:machine: x86_64
  32652. 2022-04-07 13:14:09,500:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  32653. 2022-04-07 13:14:09,501:INFO:Memory: svmem(total=33619935232, available=29031948288, percent=13.6, used=3731906560, free=24449007616, active=691609600, inactive=7724408832, buffers=214360064, cached=5224660992, shared=383381504, slab=425766912)
  32654. 2022-04-07 13:14:09,502:INFO:Physical Core: 16
  32655. 2022-04-07 13:14:09,502:INFO:Logical Core: 32
  32656. 2022-04-07 13:14:09,502:INFO:Checking libraries
  32657. 2022-04-07 13:14:09,502:INFO:pd==1.4.2
  32658. 2022-04-07 13:14:09,502:INFO:numpy==1.19.5
  32659. 2022-04-07 13:14:09,503:INFO:sklearn==0.23.2
  32660. 2022-04-07 13:14:09,503:INFO:lightgbm==3.3.2
  32661. 2022-04-07 13:14:09,503:WARNING:catboost not found
  32662. 2022-04-07 13:14:09,527:INFO:xgboost==1.5.2
  32663. 2022-04-07 13:14:09,527:INFO:mlflow==1.24.0
  32664. 2022-04-07 13:14:09,527:INFO:Checking Exceptions
  32665. 2022-04-07 13:14:09,528:INFO:Declaring global variables
  32666. 2022-04-07 13:14:09,528:INFO:USI: 5d60
  32667. 2022-04-07 13:14:09,528:INFO:pycaret_globals: {'_all_models_internal', 'fold_groups_param_full', 'USI', 'create_model_container', 'fold_shuffle_param', '_available_plots', 'display_container', 'fix_imbalance_method_param', 'transform_target_method_param', '_gpu_n_jobs_param', 'fold_param', 'y_test', 'seed', 'imputation_regressor', 'imputation_classifier', 'X_train', '_ml_usecase', '_internal_pipeline', 'fold_groups_param', 'y_train', 'data_before_preprocess', 'master_model_container', 'prep_pipe', 'transform_target_param', 'target_param', '_all_metrics', 'iterative_imputation_iters_param', 'experiment__', 'logging_param', 'html_param', 'stratify_param', 'X_test', 'dashboard_logger', 'exp_name_log', 'log_plots_param', 'fix_imbalance_param', 'pycaret_globals', 'fold_generator', 'n_jobs_param', 'gpu_param', 'y', '_all_models', 'X'}
  32668. 2022-04-07 13:14:09,528:INFO:Preparing display monitor
  32669. 2022-04-07 13:14:09,528:INFO:Preparing display monitor
  32670. 2022-04-07 13:14:09,536:INFO:Importing libraries
  32671. 2022-04-07 13:14:09,537:INFO:Copying data for preprocessing
  32672. 2022-04-07 13:14:09,542:INFO:Declaring preprocessing parameters
  32673. 2022-04-07 13:14:09,545:INFO:Creating preprocessing pipeline
  32674. 2022-04-07 13:14:09,576:INFO:Preprocessing pipeline created successfully
  32675. 2022-04-07 13:14:09,577:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  32676. 2022-04-07 13:14:09,577:INFO:Creating global containers
  32677. 2022-04-07 13:14:09,578:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  32678. 2022-04-07 13:14:11,829:WARNING:Couldn't import catboost.CatBoostClassifier
  32679. 2022-04-07 13:14:11,878:WARNING:Couldn't import catboost.CatBoostClassifier
  32680. 2022-04-07 13:14:11,879:INFO:Creating grid variables
  32681. 2022-04-07 13:14:11,887:INFO:create_model_container: 0
  32682. 2022-04-07 13:14:11,887:INFO:master_model_container: 0
  32683. 2022-04-07 13:14:11,887:INFO:display_container: 1
  32684. 2022-04-07 13:14:11,891:INFO:Pipeline(memory=None,
  32685. steps=[('dtypes',
  32686. DataTypes_Auto_infer(categorical_features=[],
  32687. display_types=True, features_todrop=[],
  32688. id_columns=[],
  32689. ml_usecase='classification',
  32690. numerical_features=[], target='label',
  32691. time_features=[])),
  32692. ('imputer',
  32693. Simple_Imputer(categorical_strategy='not_available',
  32694. fill_value_categorical=None,
  32695. fill_value_numerical=None,
  32696. numeric_strate...
  32697. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  32698. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  32699. ('cluster_all', 'passthrough'),
  32700. ('dummy', Dummify(target='label')),
  32701. ('fix_perfect', Remove_100(target='label')),
  32702. ('clean_names', Clean_Colum_Names()),
  32703. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  32704. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  32705. verbose=False)
  32706. 2022-04-07 13:14:11,891:INFO:setup() succesfully completed......................................
  32707. 2022-04-07 13:14:17,533:INFO:Initializing load_model()
  32708. 2022-04-07 13:14:17,533:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  32709. 2022-04-07 13:14:23,008:INFO:Initializing predict_model()
  32710. 2022-04-07 13:14:23,008:INFO:predict_model(estimator=Pipeline(memory=None,
  32711. steps=[('dtypes',
  32712. DataTypes_Auto_infer(categorical_features=[],
  32713. display_types=True, features_todrop=[],
  32714. id_columns=[],
  32715. ml_usecase='classification',
  32716. numerical_features=[], target='label',
  32717. time_features=[])),
  32718. ('imputer',
  32719. Simple_Imputer(categorical_strategy='not_available',
  32720. fill_value_categorical=None,
  32721. fill_value_numerical=None,
  32722. numeric_strate...
  32723. max_delta_step=0, max_depth=64, max_leaves=4096,
  32724. min_child_weight=1, missing=nan,
  32725. monotone_constraints='()', n_estimators=100,
  32726. n_jobs=-1, num_parallel_tree=1,
  32727. objective='binary:logistic', predictor='auto',
  32728. random_state=6597, reg_alpha=0, reg_lambda=1,
  32729. scale_pos_weight=1, subsample=1,
  32730. tree_method='gpu_hist', use_label_encoder=True,
  32731. validate_parameters=1, ...)]],
  32732. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  32733. 2022-04-07 13:14:23,008:INFO:Checking exceptions
  32734. 2022-04-07 13:14:23,009:INFO:Preloading libraries
  32735. 2022-04-07 13:14:23,009:INFO:Preparing display monitor
  32736. 2022-04-07 13:15:36,640:INFO:Initializing get_config()
  32737. 2022-04-07 13:15:36,641:INFO:get_config(variable=prep_pipe)
  32738. 2022-04-07 13:15:36,643:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  32739. steps=[('dtypes',
  32740. DataTypes_Auto_infer(categorical_features=[],
  32741. display_types=True, features_todrop=[],
  32742. id_columns=[],
  32743. ml_usecase='classification',
  32744. numerical_features=[], target='label',
  32745. time_features=[])),
  32746. ('imputer',
  32747. Simple_Imputer(categorical_strategy='not_available',
  32748. fill_value_categorical=None,
  32749. fill_value_numerical=None,
  32750. numeric_strate...
  32751. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  32752. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  32753. ('cluster_all', 'passthrough'),
  32754. ('dummy', Dummify(target='label')),
  32755. ('fix_perfect', Remove_100(target='label')),
  32756. ('clean_names', Clean_Colum_Names()),
  32757. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  32758. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  32759. verbose=False)
  32760. 2022-04-07 13:15:36,643:INFO:get_config() succesfully completed......................................
  32761. 2022-04-07 13:15:36,644:INFO:Initializing get_config()
  32762. 2022-04-07 13:15:36,644:INFO:get_config(variable=data_before_preprocess)
  32763. 2022-04-07 13:15:36,648:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  32764. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32765. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32766. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32767. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32768. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32769. ... ... ... ... ... ... ... ... ... ... ...
  32770. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32771. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32772. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32773. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32774. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32775. minute
  32776. 0 0
  32777. 1 1
  32778. 2 2
  32779. 3 3
  32780. 4 4
  32781. ... ...
  32782. 64795 55
  32783. 64796 56
  32784. 64797 57
  32785. 64798 58
  32786. 64799 59
  32787. [64800 rows x 11 columns]
  32788. 2022-04-07 13:15:36,648:INFO:get_config() succesfully completed......................................
  32789. 2022-04-07 13:15:36,650:INFO:Initializing get_config()
  32790. 2022-04-07 13:15:36,650:INFO:get_config(variable=prep_pipe)
  32791. 2022-04-07 13:15:36,653:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  32792. steps=[('dtypes',
  32793. DataTypes_Auto_infer(categorical_features=[],
  32794. display_types=True, features_todrop=[],
  32795. id_columns=[],
  32796. ml_usecase='classification',
  32797. numerical_features=[], target='label',
  32798. time_features=[])),
  32799. ('imputer',
  32800. Simple_Imputer(categorical_strategy='not_available',
  32801. fill_value_categorical=None,
  32802. fill_value_numerical=None,
  32803. numeric_strate...
  32804. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  32805. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  32806. ('cluster_all', 'passthrough'),
  32807. ('dummy', Dummify(target='label')),
  32808. ('fix_perfect', Remove_100(target='label')),
  32809. ('clean_names', Clean_Colum_Names()),
  32810. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  32811. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  32812. verbose=False)
  32813. 2022-04-07 13:15:36,653:INFO:get_config() succesfully completed......................................
  32814. 2022-04-07 13:15:36,653:INFO:Initializing get_config()
  32815. 2022-04-07 13:15:36,653:INFO:get_config(variable=prep_pipe)
  32816. 2022-04-07 13:15:36,656:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  32817. steps=[('dtypes',
  32818. DataTypes_Auto_infer(categorical_features=[],
  32819. display_types=True, features_todrop=[],
  32820. id_columns=[],
  32821. ml_usecase='classification',
  32822. numerical_features=[], target='label',
  32823. time_features=[])),
  32824. ('imputer',
  32825. Simple_Imputer(categorical_strategy='not_available',
  32826. fill_value_categorical=None,
  32827. fill_value_numerical=None,
  32828. numeric_strate...
  32829. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  32830. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  32831. ('cluster_all', 'passthrough'),
  32832. ('dummy', Dummify(target='label')),
  32833. ('fix_perfect', Remove_100(target='label')),
  32834. ('clean_names', Clean_Colum_Names()),
  32835. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  32836. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  32837. verbose=False)
  32838. 2022-04-07 13:15:36,656:INFO:get_config() succesfully completed......................................
  32839. 2022-04-07 13:15:36,656:INFO:Initializing get_config()
  32840. 2022-04-07 13:15:36,656:INFO:get_config(variable=prep_pipe)
  32841. 2022-04-07 13:15:36,658:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  32842. steps=[('dtypes',
  32843. DataTypes_Auto_infer(categorical_features=[],
  32844. display_types=True, features_todrop=[],
  32845. id_columns=[],
  32846. ml_usecase='classification',
  32847. numerical_features=[], target='label',
  32848. time_features=[])),
  32849. ('imputer',
  32850. Simple_Imputer(categorical_strategy='not_available',
  32851. fill_value_categorical=None,
  32852. fill_value_numerical=None,
  32853. numeric_strate...
  32854. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  32855. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  32856. ('cluster_all', 'passthrough'),
  32857. ('dummy', Dummify(target='label')),
  32858. ('fix_perfect', Remove_100(target='label')),
  32859. ('clean_names', Clean_Colum_Names()),
  32860. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  32861. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  32862. verbose=False)
  32863. 2022-04-07 13:15:36,659:INFO:get_config() succesfully completed......................................
  32864. 2022-04-07 13:15:36,667:INFO:Initializing save_model()
  32865. 2022-04-07 13:15:36,667:INFO:save_model(model=Pipeline(memory=None,
  32866. steps=[('dtypes',
  32867. DataTypes_Auto_infer(categorical_features=[],
  32868. display_types=True, features_todrop=[],
  32869. id_columns=[],
  32870. ml_usecase='classification',
  32871. numerical_features=[], target='label',
  32872. time_features=[])),
  32873. ('imputer',
  32874. Simple_Imputer(categorical_strategy='not_available',
  32875. fill_value_categorical=None,
  32876. fill_value_numerical=None,
  32877. numeric_strate...
  32878. max_delta_step=0, max_depth=64, max_leaves=4096,
  32879. min_child_weight=1, missing=nan,
  32880. monotone_constraints='()', n_estimators=100,
  32881. n_jobs=-1, num_parallel_tree=1,
  32882. objective='binary:logistic', predictor='auto',
  32883. random_state=6597, reg_alpha=0, reg_lambda=1,
  32884. scale_pos_weight=1, subsample=1,
  32885. tree_method='gpu_hist', use_label_encoder=True,
  32886. validate_parameters=1, ...)]],
  32887. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  32888. steps=[('dtypes',
  32889. DataTypes_Auto_infer(categorical_features=[],
  32890. display_types=True, features_todrop=[],
  32891. id_columns=[],
  32892. ml_usecase='classification',
  32893. numerical_features=[], target='label',
  32894. time_features=[])),
  32895. ('imputer',
  32896. Simple_Imputer(categorical_strategy='not_available',
  32897. fill_value_categorical=None,
  32898. fill_value_numerical=None,
  32899. numeric_strate...
  32900. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  32901. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  32902. ('cluster_all', 'passthrough'),
  32903. ('dummy', Dummify(target='label')),
  32904. ('fix_perfect', Remove_100(target='label')),
  32905. ('clean_names', Clean_Colum_Names()),
  32906. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  32907. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  32908. verbose=False), verbose=False, kwargs={})
  32909. 2022-04-07 13:15:36,668:INFO:Adding model into prep_pipe
  32910. 2022-04-07 13:15:36,813:WARNING:Only Model saved as it was a pipeline.
  32911. 2022-04-07 13:15:36,891:INFO:my_api.pkl saved in current working directory
  32912. 2022-04-07 13:15:36,898:INFO:Pipeline(memory=None,
  32913. steps=[('dtypes',
  32914. DataTypes_Auto_infer(categorical_features=[],
  32915. display_types=True, features_todrop=[],
  32916. id_columns=[],
  32917. ml_usecase='classification',
  32918. numerical_features=[], target='label',
  32919. time_features=[])),
  32920. ('imputer',
  32921. Simple_Imputer(categorical_strategy='not_available',
  32922. fill_value_categorical=None,
  32923. fill_value_numerical=None,
  32924. numeric_strate...
  32925. max_delta_step=0, max_depth=64, max_leaves=4096,
  32926. min_child_weight=1, missing=nan,
  32927. monotone_constraints='()', n_estimators=100,
  32928. n_jobs=-1, num_parallel_tree=1,
  32929. objective='binary:logistic', predictor='auto',
  32930. random_state=6597, reg_alpha=0, reg_lambda=1,
  32931. scale_pos_weight=1, subsample=1,
  32932. tree_method='gpu_hist', use_label_encoder=True,
  32933. validate_parameters=1, ...)]],
  32934. verbose=False)
  32935. 2022-04-07 13:15:36,898:INFO:save_model() successfully completed......................................
  32936. 2022-04-07 13:21:03,536:INFO:Initializing get_config()
  32937. 2022-04-07 13:21:03,536:INFO:get_config(variable=prep_pipe)
  32938. 2022-04-07 13:21:03,539:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  32939. steps=[('dtypes',
  32940. DataTypes_Auto_infer(categorical_features=[],
  32941. display_types=True, features_todrop=[],
  32942. id_columns=[],
  32943. ml_usecase='classification',
  32944. numerical_features=[], target='label',
  32945. time_features=[])),
  32946. ('imputer',
  32947. Simple_Imputer(categorical_strategy='not_available',
  32948. fill_value_categorical=None,
  32949. fill_value_numerical=None,
  32950. numeric_strate...
  32951. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  32952. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  32953. ('cluster_all', 'passthrough'),
  32954. ('dummy', Dummify(target='label')),
  32955. ('fix_perfect', Remove_100(target='label')),
  32956. ('clean_names', Clean_Colum_Names()),
  32957. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  32958. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  32959. verbose=False)
  32960. 2022-04-07 13:21:03,539:INFO:get_config() succesfully completed......................................
  32961. 2022-04-07 13:21:03,539:INFO:Initializing get_config()
  32962. 2022-04-07 13:21:03,539:INFO:get_config(variable=data_before_preprocess)
  32963. 2022-04-07 13:21:03,543:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  32964. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32965. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32966. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32967. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32968. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  32969. ... ... ... ... ... ... ... ... ... ... ...
  32970. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32971. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32972. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32973. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32974. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  32975. minute
  32976. 0 0
  32977. 1 1
  32978. 2 2
  32979. 3 3
  32980. 4 4
  32981. ... ...
  32982. 64795 55
  32983. 64796 56
  32984. 64797 57
  32985. 64798 58
  32986. 64799 59
  32987. [64800 rows x 11 columns]
  32988. 2022-04-07 13:21:03,543:INFO:get_config() succesfully completed......................................
  32989. 2022-04-07 13:21:03,545:INFO:Initializing get_config()
  32990. 2022-04-07 13:21:03,545:INFO:get_config(variable=prep_pipe)
  32991. 2022-04-07 13:21:03,547:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  32992. steps=[('dtypes',
  32993. DataTypes_Auto_infer(categorical_features=[],
  32994. display_types=True, features_todrop=[],
  32995. id_columns=[],
  32996. ml_usecase='classification',
  32997. numerical_features=[], target='label',
  32998. time_features=[])),
  32999. ('imputer',
  33000. Simple_Imputer(categorical_strategy='not_available',
  33001. fill_value_categorical=None,
  33002. fill_value_numerical=None,
  33003. numeric_strate...
  33004. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  33005. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  33006. ('cluster_all', 'passthrough'),
  33007. ('dummy', Dummify(target='label')),
  33008. ('fix_perfect', Remove_100(target='label')),
  33009. ('clean_names', Clean_Colum_Names()),
  33010. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  33011. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  33012. verbose=False)
  33013. 2022-04-07 13:21:03,547:INFO:get_config() succesfully completed......................................
  33014. 2022-04-07 13:21:03,548:INFO:Initializing get_config()
  33015. 2022-04-07 13:21:03,548:INFO:get_config(variable=prep_pipe)
  33016. 2022-04-07 13:21:03,550:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  33017. steps=[('dtypes',
  33018. DataTypes_Auto_infer(categorical_features=[],
  33019. display_types=True, features_todrop=[],
  33020. id_columns=[],
  33021. ml_usecase='classification',
  33022. numerical_features=[], target='label',
  33023. time_features=[])),
  33024. ('imputer',
  33025. Simple_Imputer(categorical_strategy='not_available',
  33026. fill_value_categorical=None,
  33027. fill_value_numerical=None,
  33028. numeric_strate...
  33029. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  33030. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  33031. ('cluster_all', 'passthrough'),
  33032. ('dummy', Dummify(target='label')),
  33033. ('fix_perfect', Remove_100(target='label')),
  33034. ('clean_names', Clean_Colum_Names()),
  33035. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  33036. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  33037. verbose=False)
  33038. 2022-04-07 13:21:03,550:INFO:get_config() succesfully completed......................................
  33039. 2022-04-07 13:21:03,550:INFO:Initializing get_config()
  33040. 2022-04-07 13:21:03,551:INFO:get_config(variable=prep_pipe)
  33041. 2022-04-07 13:21:03,553:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  33042. steps=[('dtypes',
  33043. DataTypes_Auto_infer(categorical_features=[],
  33044. display_types=True, features_todrop=[],
  33045. id_columns=[],
  33046. ml_usecase='classification',
  33047. numerical_features=[], target='label',
  33048. time_features=[])),
  33049. ('imputer',
  33050. Simple_Imputer(categorical_strategy='not_available',
  33051. fill_value_categorical=None,
  33052. fill_value_numerical=None,
  33053. numeric_strate...
  33054. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  33055. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  33056. ('cluster_all', 'passthrough'),
  33057. ('dummy', Dummify(target='label')),
  33058. ('fix_perfect', Remove_100(target='label')),
  33059. ('clean_names', Clean_Colum_Names()),
  33060. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  33061. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  33062. verbose=False)
  33063. 2022-04-07 13:21:03,553:INFO:get_config() succesfully completed......................................
  33064. 2022-04-07 13:21:03,561:INFO:Initializing save_model()
  33065. 2022-04-07 13:21:03,562:INFO:save_model(model=Pipeline(memory=None,
  33066. steps=[('dtypes',
  33067. DataTypes_Auto_infer(categorical_features=[],
  33068. display_types=True, features_todrop=[],
  33069. id_columns=[],
  33070. ml_usecase='classification',
  33071. numerical_features=[], target='label',
  33072. time_features=[])),
  33073. ('imputer',
  33074. Simple_Imputer(categorical_strategy='not_available',
  33075. fill_value_categorical=None,
  33076. fill_value_numerical=None,
  33077. numeric_strate...
  33078. max_delta_step=0, max_depth=64, max_leaves=4096,
  33079. min_child_weight=1, missing=nan,
  33080. monotone_constraints='()', n_estimators=100,
  33081. n_jobs=-1, num_parallel_tree=1,
  33082. objective='binary:logistic', predictor='auto',
  33083. random_state=6597, reg_alpha=0, reg_lambda=1,
  33084. scale_pos_weight=1, subsample=1,
  33085. tree_method='gpu_hist', use_label_encoder=True,
  33086. validate_parameters=1, ...)]],
  33087. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  33088. steps=[('dtypes',
  33089. DataTypes_Auto_infer(categorical_features=[],
  33090. display_types=True, features_todrop=[],
  33091. id_columns=[],
  33092. ml_usecase='classification',
  33093. numerical_features=[], target='label',
  33094. time_features=[])),
  33095. ('imputer',
  33096. Simple_Imputer(categorical_strategy='not_available',
  33097. fill_value_categorical=None,
  33098. fill_value_numerical=None,
  33099. numeric_strate...
  33100. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  33101. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  33102. ('cluster_all', 'passthrough'),
  33103. ('dummy', Dummify(target='label')),
  33104. ('fix_perfect', Remove_100(target='label')),
  33105. ('clean_names', Clean_Colum_Names()),
  33106. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  33107. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  33108. verbose=False), verbose=False, kwargs={})
  33109. 2022-04-07 13:21:03,562:INFO:Adding model into prep_pipe
  33110. 2022-04-07 13:21:03,704:WARNING:Only Model saved as it was a pipeline.
  33111. 2022-04-07 13:21:03,782:INFO:my_api.pkl saved in current working directory
  33112. 2022-04-07 13:21:03,789:INFO:Pipeline(memory=None,
  33113. steps=[('dtypes',
  33114. DataTypes_Auto_infer(categorical_features=[],
  33115. display_types=True, features_todrop=[],
  33116. id_columns=[],
  33117. ml_usecase='classification',
  33118. numerical_features=[], target='label',
  33119. time_features=[])),
  33120. ('imputer',
  33121. Simple_Imputer(categorical_strategy='not_available',
  33122. fill_value_categorical=None,
  33123. fill_value_numerical=None,
  33124. numeric_strate...
  33125. max_delta_step=0, max_depth=64, max_leaves=4096,
  33126. min_child_weight=1, missing=nan,
  33127. monotone_constraints='()', n_estimators=100,
  33128. n_jobs=-1, num_parallel_tree=1,
  33129. objective='binary:logistic', predictor='auto',
  33130. random_state=6597, reg_alpha=0, reg_lambda=1,
  33131. scale_pos_weight=1, subsample=1,
  33132. tree_method='gpu_hist', use_label_encoder=True,
  33133. validate_parameters=1, ...)]],
  33134. verbose=False)
  33135. 2022-04-07 13:21:03,789:INFO:save_model() successfully completed......................................
  33136. 2022-04-07 13:21:05,483:INFO:Initializing load_model()
  33137. 2022-04-07 13:21:05,483:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  33138. 2022-04-07 13:26:06,628:INFO:Initializing load_model()
  33139. 2022-04-07 13:26:06,628:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  33140. 2022-04-07 13:28:29,000:INFO:Initializing load_model()
  33141. 2022-04-07 13:28:29,001:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  33142. 2022-04-07 13:28:52,389:INFO:Initializing predict_model()
  33143. 2022-04-07 13:28:52,389:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33144. DataTypes_Auto_infer(ml_usecase='classification',
  33145. target='label')),
  33146. ('imputer',
  33147. Simple_Imputer(categorical_strategy='not_available',
  33148. fill_value_categorical=None,
  33149. fill_value_numerical=None,
  33150. numeric_strategy='mean',
  33151. target_variable=None)),
  33152. ('new_levels1',
  33153. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33154. 'frequent',
  33155. targe...
  33156. gamma=0, gpu_id=0, importance_type=None,
  33157. interaction_constraints='', learning_rate=0.05,
  33158. max_delta_step=0, max_depth=64, max_leaves=4096,
  33159. min_child_weight=1, missing=nan,
  33160. monotone_constraints='()', n_estimators=100,
  33161. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33162. random_state=6597, reg_alpha=0, reg_lambda=1,
  33163. scale_pos_weight=1, subsample=1,
  33164. tree_method='gpu_hist', validate_parameters=1,
  33165. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33166. 2022-04-07 13:28:52,390:INFO:Checking exceptions
  33167. 2022-04-07 13:28:52,390:INFO:Preloading libraries
  33168. 2022-04-07 13:29:23,104:INFO:Initializing predict_model()
  33169. 2022-04-07 13:29:23,104:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33170. DataTypes_Auto_infer(ml_usecase='classification',
  33171. target='label')),
  33172. ('imputer',
  33173. Simple_Imputer(categorical_strategy='not_available',
  33174. fill_value_categorical=None,
  33175. fill_value_numerical=None,
  33176. numeric_strategy='mean',
  33177. target_variable=None)),
  33178. ('new_levels1',
  33179. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33180. 'frequent',
  33181. targe...
  33182. gamma=0, gpu_id=0, importance_type=None,
  33183. interaction_constraints='', learning_rate=0.05,
  33184. max_delta_step=0, max_depth=64, max_leaves=4096,
  33185. min_child_weight=1, missing=nan,
  33186. monotone_constraints='()', n_estimators=100,
  33187. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33188. random_state=6597, reg_alpha=0, reg_lambda=1,
  33189. scale_pos_weight=1, subsample=1,
  33190. tree_method='gpu_hist', validate_parameters=1,
  33191. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33192. 2022-04-07 13:29:23,105:INFO:Checking exceptions
  33193. 2022-04-07 13:29:23,105:INFO:Preloading libraries
  33194. 2022-04-07 13:29:59,038:INFO:Initializing predict_model()
  33195. 2022-04-07 13:29:59,038:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33196. DataTypes_Auto_infer(ml_usecase='classification',
  33197. target='label')),
  33198. ('imputer',
  33199. Simple_Imputer(categorical_strategy='not_available',
  33200. fill_value_categorical=None,
  33201. fill_value_numerical=None,
  33202. numeric_strategy='mean',
  33203. target_variable=None)),
  33204. ('new_levels1',
  33205. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33206. 'frequent',
  33207. targe...
  33208. gamma=0, gpu_id=0, importance_type=None,
  33209. interaction_constraints='', learning_rate=0.05,
  33210. max_delta_step=0, max_depth=64, max_leaves=4096,
  33211. min_child_weight=1, missing=nan,
  33212. monotone_constraints='()', n_estimators=100,
  33213. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33214. random_state=6597, reg_alpha=0, reg_lambda=1,
  33215. scale_pos_weight=1, subsample=1,
  33216. tree_method='gpu_hist', validate_parameters=1,
  33217. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33218. 2022-04-07 13:29:59,038:INFO:Checking exceptions
  33219. 2022-04-07 13:29:59,039:INFO:Preloading libraries
  33220. 2022-04-07 13:30:30,811:INFO:Initializing load_model()
  33221. 2022-04-07 13:30:30,811:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  33222. 2022-04-07 13:31:05,499:INFO:Initializing predict_model()
  33223. 2022-04-07 13:31:05,499:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33224. DataTypes_Auto_infer(ml_usecase='classification',
  33225. target='label')),
  33226. ('imputer',
  33227. Simple_Imputer(categorical_strategy='not_available',
  33228. fill_value_categorical=None,
  33229. fill_value_numerical=None,
  33230. numeric_strategy='mean',
  33231. target_variable=None)),
  33232. ('new_levels1',
  33233. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33234. 'frequent',
  33235. targe...
  33236. gamma=0, gpu_id=0, importance_type=None,
  33237. interaction_constraints='', learning_rate=0.05,
  33238. max_delta_step=0, max_depth=64, max_leaves=4096,
  33239. min_child_weight=1, missing=nan,
  33240. monotone_constraints='()', n_estimators=100,
  33241. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33242. random_state=6597, reg_alpha=0, reg_lambda=1,
  33243. scale_pos_weight=1, subsample=1,
  33244. tree_method='gpu_hist', validate_parameters=1,
  33245. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33246. 2022-04-07 13:31:05,499:INFO:Checking exceptions
  33247. 2022-04-07 13:31:05,499:INFO:Preloading libraries
  33248. 2022-04-07 13:31:18,202:INFO:Initializing predict_model()
  33249. 2022-04-07 13:31:18,202:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33250. DataTypes_Auto_infer(ml_usecase='classification',
  33251. target='label')),
  33252. ('imputer',
  33253. Simple_Imputer(categorical_strategy='not_available',
  33254. fill_value_categorical=None,
  33255. fill_value_numerical=None,
  33256. numeric_strategy='mean',
  33257. target_variable=None)),
  33258. ('new_levels1',
  33259. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33260. 'frequent',
  33261. targe...
  33262. gamma=0, gpu_id=0, importance_type=None,
  33263. interaction_constraints='', learning_rate=0.05,
  33264. max_delta_step=0, max_depth=64, max_leaves=4096,
  33265. min_child_weight=1, missing=nan,
  33266. monotone_constraints='()', n_estimators=100,
  33267. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33268. random_state=6597, reg_alpha=0, reg_lambda=1,
  33269. scale_pos_weight=1, subsample=1,
  33270. tree_method='gpu_hist', validate_parameters=1,
  33271. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33272. 2022-04-07 13:31:18,202:INFO:Checking exceptions
  33273. 2022-04-07 13:31:18,202:INFO:Preloading libraries
  33274. 2022-04-07 13:33:35,679:INFO:Initializing predict_model()
  33275. 2022-04-07 13:33:35,680:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33276. DataTypes_Auto_infer(ml_usecase='classification',
  33277. target='label')),
  33278. ('imputer',
  33279. Simple_Imputer(categorical_strategy='not_available',
  33280. fill_value_categorical=None,
  33281. fill_value_numerical=None,
  33282. numeric_strategy='mean',
  33283. target_variable=None)),
  33284. ('new_levels1',
  33285. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33286. 'frequent',
  33287. targe...
  33288. gamma=0, gpu_id=0, importance_type=None,
  33289. interaction_constraints='', learning_rate=0.05,
  33290. max_delta_step=0, max_depth=64, max_leaves=4096,
  33291. min_child_weight=1, missing=nan,
  33292. monotone_constraints='()', n_estimators=100,
  33293. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33294. random_state=6597, reg_alpha=0, reg_lambda=1,
  33295. scale_pos_weight=1, subsample=1,
  33296. tree_method='gpu_hist', validate_parameters=1,
  33297. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33298. 2022-04-07 13:33:35,680:INFO:Checking exceptions
  33299. 2022-04-07 13:33:35,680:INFO:Preloading libraries
  33300. 2022-04-07 13:33:35,700:INFO:Initializing predict_model()
  33301. 2022-04-07 13:33:35,700:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33302. DataTypes_Auto_infer(ml_usecase='classification',
  33303. target='label')),
  33304. ('imputer',
  33305. Simple_Imputer(categorical_strategy='not_available',
  33306. fill_value_categorical=None,
  33307. fill_value_numerical=None,
  33308. numeric_strategy='mean',
  33309. target_variable=None)),
  33310. ('new_levels1',
  33311. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33312. 'frequent',
  33313. targe...
  33314. gamma=0, gpu_id=0, importance_type=None,
  33315. interaction_constraints='', learning_rate=0.05,
  33316. max_delta_step=0, max_depth=64, max_leaves=4096,
  33317. min_child_weight=1, missing=nan,
  33318. monotone_constraints='()', n_estimators=100,
  33319. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33320. random_state=6597, reg_alpha=0, reg_lambda=1,
  33321. scale_pos_weight=1, subsample=1,
  33322. tree_method='gpu_hist', validate_parameters=1,
  33323. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33324. 2022-04-07 13:33:35,700:INFO:Checking exceptions
  33325. 2022-04-07 13:33:35,700:INFO:Preloading libraries
  33326. 2022-04-07 13:33:35,719:INFO:Initializing predict_model()
  33327. 2022-04-07 13:33:35,719:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33328. DataTypes_Auto_infer(ml_usecase='classification',
  33329. target='label')),
  33330. ('imputer',
  33331. Simple_Imputer(categorical_strategy='not_available',
  33332. fill_value_categorical=None,
  33333. fill_value_numerical=None,
  33334. numeric_strategy='mean',
  33335. target_variable=None)),
  33336. ('new_levels1',
  33337. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33338. 'frequent',
  33339. targe...
  33340. gamma=0, gpu_id=0, importance_type=None,
  33341. interaction_constraints='', learning_rate=0.05,
  33342. max_delta_step=0, max_depth=64, max_leaves=4096,
  33343. min_child_weight=1, missing=nan,
  33344. monotone_constraints='()', n_estimators=100,
  33345. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33346. random_state=6597, reg_alpha=0, reg_lambda=1,
  33347. scale_pos_weight=1, subsample=1,
  33348. tree_method='gpu_hist', validate_parameters=1,
  33349. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33350. 2022-04-07 13:33:35,719:INFO:Checking exceptions
  33351. 2022-04-07 13:33:35,720:INFO:Preloading libraries
  33352. 2022-04-07 13:33:35,739:INFO:Initializing predict_model()
  33353. 2022-04-07 13:33:35,740:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33354. DataTypes_Auto_infer(ml_usecase='classification',
  33355. target='label')),
  33356. ('imputer',
  33357. Simple_Imputer(categorical_strategy='not_available',
  33358. fill_value_categorical=None,
  33359. fill_value_numerical=None,
  33360. numeric_strategy='mean',
  33361. target_variable=None)),
  33362. ('new_levels1',
  33363. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33364. 'frequent',
  33365. targe...
  33366. gamma=0, gpu_id=0, importance_type=None,
  33367. interaction_constraints='', learning_rate=0.05,
  33368. max_delta_step=0, max_depth=64, max_leaves=4096,
  33369. min_child_weight=1, missing=nan,
  33370. monotone_constraints='()', n_estimators=100,
  33371. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33372. random_state=6597, reg_alpha=0, reg_lambda=1,
  33373. scale_pos_weight=1, subsample=1,
  33374. tree_method='gpu_hist', validate_parameters=1,
  33375. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33376. 2022-04-07 13:33:35,740:INFO:Checking exceptions
  33377. 2022-04-07 13:33:35,740:INFO:Preloading libraries
  33378. 2022-04-07 13:33:35,760:INFO:Initializing predict_model()
  33379. 2022-04-07 13:33:35,760:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33380. DataTypes_Auto_infer(ml_usecase='classification',
  33381. target='label')),
  33382. ('imputer',
  33383. Simple_Imputer(categorical_strategy='not_available',
  33384. fill_value_categorical=None,
  33385. fill_value_numerical=None,
  33386. numeric_strategy='mean',
  33387. target_variable=None)),
  33388. ('new_levels1',
  33389. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33390. 'frequent',
  33391. targe...
  33392. gamma=0, gpu_id=0, importance_type=None,
  33393. interaction_constraints='', learning_rate=0.05,
  33394. max_delta_step=0, max_depth=64, max_leaves=4096,
  33395. min_child_weight=1, missing=nan,
  33396. monotone_constraints='()', n_estimators=100,
  33397. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33398. random_state=6597, reg_alpha=0, reg_lambda=1,
  33399. scale_pos_weight=1, subsample=1,
  33400. tree_method='gpu_hist', validate_parameters=1,
  33401. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33402. 2022-04-07 13:33:35,761:INFO:Checking exceptions
  33403. 2022-04-07 13:33:35,761:INFO:Preloading libraries
  33404. 2022-04-07 13:33:35,781:INFO:Initializing predict_model()
  33405. 2022-04-07 13:33:35,781:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33406. DataTypes_Auto_infer(ml_usecase='classification',
  33407. target='label')),
  33408. ('imputer',
  33409. Simple_Imputer(categorical_strategy='not_available',
  33410. fill_value_categorical=None,
  33411. fill_value_numerical=None,
  33412. numeric_strategy='mean',
  33413. target_variable=None)),
  33414. ('new_levels1',
  33415. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33416. 'frequent',
  33417. targe...
  33418. gamma=0, gpu_id=0, importance_type=None,
  33419. interaction_constraints='', learning_rate=0.05,
  33420. max_delta_step=0, max_depth=64, max_leaves=4096,
  33421. min_child_weight=1, missing=nan,
  33422. monotone_constraints='()', n_estimators=100,
  33423. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33424. random_state=6597, reg_alpha=0, reg_lambda=1,
  33425. scale_pos_weight=1, subsample=1,
  33426. tree_method='gpu_hist', validate_parameters=1,
  33427. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33428. 2022-04-07 13:33:35,781:INFO:Checking exceptions
  33429. 2022-04-07 13:33:35,781:INFO:Preloading libraries
  33430. 2022-04-07 13:33:35,803:INFO:Initializing predict_model()
  33431. 2022-04-07 13:33:35,803:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33432. DataTypes_Auto_infer(ml_usecase='classification',
  33433. target='label')),
  33434. ('imputer',
  33435. Simple_Imputer(categorical_strategy='not_available',
  33436. fill_value_categorical=None,
  33437. fill_value_numerical=None,
  33438. numeric_strategy='mean',
  33439. target_variable=None)),
  33440. ('new_levels1',
  33441. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33442. 'frequent',
  33443. targe...
  33444. gamma=0, gpu_id=0, importance_type=None,
  33445. interaction_constraints='', learning_rate=0.05,
  33446. max_delta_step=0, max_depth=64, max_leaves=4096,
  33447. min_child_weight=1, missing=nan,
  33448. monotone_constraints='()', n_estimators=100,
  33449. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33450. random_state=6597, reg_alpha=0, reg_lambda=1,
  33451. scale_pos_weight=1, subsample=1,
  33452. tree_method='gpu_hist', validate_parameters=1,
  33453. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33454. 2022-04-07 13:33:35,803:INFO:Checking exceptions
  33455. 2022-04-07 13:33:35,803:INFO:Preloading libraries
  33456. 2022-04-07 13:33:35,825:INFO:Initializing predict_model()
  33457. 2022-04-07 13:33:35,825:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33458. DataTypes_Auto_infer(ml_usecase='classification',
  33459. target='label')),
  33460. ('imputer',
  33461. Simple_Imputer(categorical_strategy='not_available',
  33462. fill_value_categorical=None,
  33463. fill_value_numerical=None,
  33464. numeric_strategy='mean',
  33465. target_variable=None)),
  33466. ('new_levels1',
  33467. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33468. 'frequent',
  33469. targe...
  33470. gamma=0, gpu_id=0, importance_type=None,
  33471. interaction_constraints='', learning_rate=0.05,
  33472. max_delta_step=0, max_depth=64, max_leaves=4096,
  33473. min_child_weight=1, missing=nan,
  33474. monotone_constraints='()', n_estimators=100,
  33475. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33476. random_state=6597, reg_alpha=0, reg_lambda=1,
  33477. scale_pos_weight=1, subsample=1,
  33478. tree_method='gpu_hist', validate_parameters=1,
  33479. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33480. 2022-04-07 13:33:35,825:INFO:Checking exceptions
  33481. 2022-04-07 13:33:35,825:INFO:Preloading libraries
  33482. 2022-04-07 13:33:35,846:INFO:Initializing predict_model()
  33483. 2022-04-07 13:33:35,846:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33484. DataTypes_Auto_infer(ml_usecase='classification',
  33485. target='label')),
  33486. ('imputer',
  33487. Simple_Imputer(categorical_strategy='not_available',
  33488. fill_value_categorical=None,
  33489. fill_value_numerical=None,
  33490. numeric_strategy='mean',
  33491. target_variable=None)),
  33492. ('new_levels1',
  33493. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33494. 'frequent',
  33495. targe...
  33496. gamma=0, gpu_id=0, importance_type=None,
  33497. interaction_constraints='', learning_rate=0.05,
  33498. max_delta_step=0, max_depth=64, max_leaves=4096,
  33499. min_child_weight=1, missing=nan,
  33500. monotone_constraints='()', n_estimators=100,
  33501. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33502. random_state=6597, reg_alpha=0, reg_lambda=1,
  33503. scale_pos_weight=1, subsample=1,
  33504. tree_method='gpu_hist', validate_parameters=1,
  33505. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33506. 2022-04-07 13:33:35,846:INFO:Checking exceptions
  33507. 2022-04-07 13:33:35,846:INFO:Preloading libraries
  33508. 2022-04-07 13:33:35,867:INFO:Initializing predict_model()
  33509. 2022-04-07 13:33:35,867:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33510. DataTypes_Auto_infer(ml_usecase='classification',
  33511. target='label')),
  33512. ('imputer',
  33513. Simple_Imputer(categorical_strategy='not_available',
  33514. fill_value_categorical=None,
  33515. fill_value_numerical=None,
  33516. numeric_strategy='mean',
  33517. target_variable=None)),
  33518. ('new_levels1',
  33519. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33520. 'frequent',
  33521. targe...
  33522. gamma=0, gpu_id=0, importance_type=None,
  33523. interaction_constraints='', learning_rate=0.05,
  33524. max_delta_step=0, max_depth=64, max_leaves=4096,
  33525. min_child_weight=1, missing=nan,
  33526. monotone_constraints='()', n_estimators=100,
  33527. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33528. random_state=6597, reg_alpha=0, reg_lambda=1,
  33529. scale_pos_weight=1, subsample=1,
  33530. tree_method='gpu_hist', validate_parameters=1,
  33531. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33532. 2022-04-07 13:33:35,867:INFO:Checking exceptions
  33533. 2022-04-07 13:33:35,867:INFO:Preloading libraries
  33534. 2022-04-07 13:36:41,492:INFO:Initializing load_model()
  33535. 2022-04-07 13:36:41,493:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  33536. 2022-04-07 13:37:56,573:INFO:Initializing predict_model()
  33537. 2022-04-07 13:37:56,573:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33538. DataTypes_Auto_infer(ml_usecase='classification',
  33539. target='label')),
  33540. ('imputer',
  33541. Simple_Imputer(categorical_strategy='not_available',
  33542. fill_value_categorical=None,
  33543. fill_value_numerical=None,
  33544. numeric_strategy='mean',
  33545. target_variable=None)),
  33546. ('new_levels1',
  33547. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33548. 'frequent',
  33549. targe...
  33550. gamma=0, gpu_id=0, importance_type=None,
  33551. interaction_constraints='', learning_rate=0.05,
  33552. max_delta_step=0, max_depth=64, max_leaves=4096,
  33553. min_child_weight=1, missing=nan,
  33554. monotone_constraints='()', n_estimators=100,
  33555. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33556. random_state=6597, reg_alpha=0, reg_lambda=1,
  33557. scale_pos_weight=1, subsample=1,
  33558. tree_method='gpu_hist', validate_parameters=1,
  33559. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33560. 2022-04-07 13:37:56,573:INFO:Checking exceptions
  33561. 2022-04-07 13:37:56,573:INFO:Preloading libraries
  33562. 2022-04-07 13:37:56,593:INFO:Initializing predict_model()
  33563. 2022-04-07 13:37:56,593:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33564. DataTypes_Auto_infer(ml_usecase='classification',
  33565. target='label')),
  33566. ('imputer',
  33567. Simple_Imputer(categorical_strategy='not_available',
  33568. fill_value_categorical=None,
  33569. fill_value_numerical=None,
  33570. numeric_strategy='mean',
  33571. target_variable=None)),
  33572. ('new_levels1',
  33573. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33574. 'frequent',
  33575. targe...
  33576. gamma=0, gpu_id=0, importance_type=None,
  33577. interaction_constraints='', learning_rate=0.05,
  33578. max_delta_step=0, max_depth=64, max_leaves=4096,
  33579. min_child_weight=1, missing=nan,
  33580. monotone_constraints='()', n_estimators=100,
  33581. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33582. random_state=6597, reg_alpha=0, reg_lambda=1,
  33583. scale_pos_weight=1, subsample=1,
  33584. tree_method='gpu_hist', validate_parameters=1,
  33585. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33586. 2022-04-07 13:37:56,593:INFO:Checking exceptions
  33587. 2022-04-07 13:37:56,593:INFO:Preloading libraries
  33588. 2022-04-07 13:37:56,614:INFO:Initializing predict_model()
  33589. 2022-04-07 13:37:56,614:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33590. DataTypes_Auto_infer(ml_usecase='classification',
  33591. target='label')),
  33592. ('imputer',
  33593. Simple_Imputer(categorical_strategy='not_available',
  33594. fill_value_categorical=None,
  33595. fill_value_numerical=None,
  33596. numeric_strategy='mean',
  33597. target_variable=None)),
  33598. ('new_levels1',
  33599. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33600. 'frequent',
  33601. targe...
  33602. gamma=0, gpu_id=0, importance_type=None,
  33603. interaction_constraints='', learning_rate=0.05,
  33604. max_delta_step=0, max_depth=64, max_leaves=4096,
  33605. min_child_weight=1, missing=nan,
  33606. monotone_constraints='()', n_estimators=100,
  33607. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33608. random_state=6597, reg_alpha=0, reg_lambda=1,
  33609. scale_pos_weight=1, subsample=1,
  33610. tree_method='gpu_hist', validate_parameters=1,
  33611. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33612. 2022-04-07 13:37:56,614:INFO:Checking exceptions
  33613. 2022-04-07 13:37:56,615:INFO:Preloading libraries
  33614. 2022-04-07 13:37:56,635:INFO:Initializing predict_model()
  33615. 2022-04-07 13:37:56,635:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33616. DataTypes_Auto_infer(ml_usecase='classification',
  33617. target='label')),
  33618. ('imputer',
  33619. Simple_Imputer(categorical_strategy='not_available',
  33620. fill_value_categorical=None,
  33621. fill_value_numerical=None,
  33622. numeric_strategy='mean',
  33623. target_variable=None)),
  33624. ('new_levels1',
  33625. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33626. 'frequent',
  33627. targe...
  33628. gamma=0, gpu_id=0, importance_type=None,
  33629. interaction_constraints='', learning_rate=0.05,
  33630. max_delta_step=0, max_depth=64, max_leaves=4096,
  33631. min_child_weight=1, missing=nan,
  33632. monotone_constraints='()', n_estimators=100,
  33633. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33634. random_state=6597, reg_alpha=0, reg_lambda=1,
  33635. scale_pos_weight=1, subsample=1,
  33636. tree_method='gpu_hist', validate_parameters=1,
  33637. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33638. 2022-04-07 13:37:56,635:INFO:Checking exceptions
  33639. 2022-04-07 13:37:56,635:INFO:Preloading libraries
  33640. 2022-04-07 13:37:56,656:INFO:Initializing predict_model()
  33641. 2022-04-07 13:37:56,656:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33642. DataTypes_Auto_infer(ml_usecase='classification',
  33643. target='label')),
  33644. ('imputer',
  33645. Simple_Imputer(categorical_strategy='not_available',
  33646. fill_value_categorical=None,
  33647. fill_value_numerical=None,
  33648. numeric_strategy='mean',
  33649. target_variable=None)),
  33650. ('new_levels1',
  33651. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33652. 'frequent',
  33653. targe...
  33654. gamma=0, gpu_id=0, importance_type=None,
  33655. interaction_constraints='', learning_rate=0.05,
  33656. max_delta_step=0, max_depth=64, max_leaves=4096,
  33657. min_child_weight=1, missing=nan,
  33658. monotone_constraints='()', n_estimators=100,
  33659. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33660. random_state=6597, reg_alpha=0, reg_lambda=1,
  33661. scale_pos_weight=1, subsample=1,
  33662. tree_method='gpu_hist', validate_parameters=1,
  33663. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33664. 2022-04-07 13:37:56,657:INFO:Checking exceptions
  33665. 2022-04-07 13:37:56,657:INFO:Preloading libraries
  33666. 2022-04-07 13:37:56,677:INFO:Initializing predict_model()
  33667. 2022-04-07 13:37:56,678:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33668. DataTypes_Auto_infer(ml_usecase='classification',
  33669. target='label')),
  33670. ('imputer',
  33671. Simple_Imputer(categorical_strategy='not_available',
  33672. fill_value_categorical=None,
  33673. fill_value_numerical=None,
  33674. numeric_strategy='mean',
  33675. target_variable=None)),
  33676. ('new_levels1',
  33677. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33678. 'frequent',
  33679. targe...
  33680. gamma=0, gpu_id=0, importance_type=None,
  33681. interaction_constraints='', learning_rate=0.05,
  33682. max_delta_step=0, max_depth=64, max_leaves=4096,
  33683. min_child_weight=1, missing=nan,
  33684. monotone_constraints='()', n_estimators=100,
  33685. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33686. random_state=6597, reg_alpha=0, reg_lambda=1,
  33687. scale_pos_weight=1, subsample=1,
  33688. tree_method='gpu_hist', validate_parameters=1,
  33689. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33690. 2022-04-07 13:37:56,678:INFO:Checking exceptions
  33691. 2022-04-07 13:37:56,678:INFO:Preloading libraries
  33692. 2022-04-07 13:37:56,697:INFO:Initializing predict_model()
  33693. 2022-04-07 13:37:56,697:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33694. DataTypes_Auto_infer(ml_usecase='classification',
  33695. target='label')),
  33696. ('imputer',
  33697. Simple_Imputer(categorical_strategy='not_available',
  33698. fill_value_categorical=None,
  33699. fill_value_numerical=None,
  33700. numeric_strategy='mean',
  33701. target_variable=None)),
  33702. ('new_levels1',
  33703. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33704. 'frequent',
  33705. targe...
  33706. gamma=0, gpu_id=0, importance_type=None,
  33707. interaction_constraints='', learning_rate=0.05,
  33708. max_delta_step=0, max_depth=64, max_leaves=4096,
  33709. min_child_weight=1, missing=nan,
  33710. monotone_constraints='()', n_estimators=100,
  33711. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33712. random_state=6597, reg_alpha=0, reg_lambda=1,
  33713. scale_pos_weight=1, subsample=1,
  33714. tree_method='gpu_hist', validate_parameters=1,
  33715. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33716. 2022-04-07 13:37:56,698:INFO:Checking exceptions
  33717. 2022-04-07 13:37:56,698:INFO:Preloading libraries
  33718. 2022-04-07 13:37:56,717:INFO:Initializing predict_model()
  33719. 2022-04-07 13:37:56,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33720. DataTypes_Auto_infer(ml_usecase='classification',
  33721. target='label')),
  33722. ('imputer',
  33723. Simple_Imputer(categorical_strategy='not_available',
  33724. fill_value_categorical=None,
  33725. fill_value_numerical=None,
  33726. numeric_strategy='mean',
  33727. target_variable=None)),
  33728. ('new_levels1',
  33729. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33730. 'frequent',
  33731. targe...
  33732. gamma=0, gpu_id=0, importance_type=None,
  33733. interaction_constraints='', learning_rate=0.05,
  33734. max_delta_step=0, max_depth=64, max_leaves=4096,
  33735. min_child_weight=1, missing=nan,
  33736. monotone_constraints='()', n_estimators=100,
  33737. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33738. random_state=6597, reg_alpha=0, reg_lambda=1,
  33739. scale_pos_weight=1, subsample=1,
  33740. tree_method='gpu_hist', validate_parameters=1,
  33741. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33742. 2022-04-07 13:37:56,718:INFO:Checking exceptions
  33743. 2022-04-07 13:37:56,718:INFO:Preloading libraries
  33744. 2022-04-07 13:37:56,739:INFO:Initializing predict_model()
  33745. 2022-04-07 13:37:56,739:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33746. DataTypes_Auto_infer(ml_usecase='classification',
  33747. target='label')),
  33748. ('imputer',
  33749. Simple_Imputer(categorical_strategy='not_available',
  33750. fill_value_categorical=None,
  33751. fill_value_numerical=None,
  33752. numeric_strategy='mean',
  33753. target_variable=None)),
  33754. ('new_levels1',
  33755. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33756. 'frequent',
  33757. targe...
  33758. gamma=0, gpu_id=0, importance_type=None,
  33759. interaction_constraints='', learning_rate=0.05,
  33760. max_delta_step=0, max_depth=64, max_leaves=4096,
  33761. min_child_weight=1, missing=nan,
  33762. monotone_constraints='()', n_estimators=100,
  33763. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33764. random_state=6597, reg_alpha=0, reg_lambda=1,
  33765. scale_pos_weight=1, subsample=1,
  33766. tree_method='gpu_hist', validate_parameters=1,
  33767. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33768. 2022-04-07 13:37:56,740:INFO:Checking exceptions
  33769. 2022-04-07 13:37:56,740:INFO:Preloading libraries
  33770. 2022-04-07 13:37:56,760:INFO:Initializing predict_model()
  33771. 2022-04-07 13:37:56,760:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33772. DataTypes_Auto_infer(ml_usecase='classification',
  33773. target='label')),
  33774. ('imputer',
  33775. Simple_Imputer(categorical_strategy='not_available',
  33776. fill_value_categorical=None,
  33777. fill_value_numerical=None,
  33778. numeric_strategy='mean',
  33779. target_variable=None)),
  33780. ('new_levels1',
  33781. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33782. 'frequent',
  33783. targe...
  33784. gamma=0, gpu_id=0, importance_type=None,
  33785. interaction_constraints='', learning_rate=0.05,
  33786. max_delta_step=0, max_depth=64, max_leaves=4096,
  33787. min_child_weight=1, missing=nan,
  33788. monotone_constraints='()', n_estimators=100,
  33789. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33790. random_state=6597, reg_alpha=0, reg_lambda=1,
  33791. scale_pos_weight=1, subsample=1,
  33792. tree_method='gpu_hist', validate_parameters=1,
  33793. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33794. 2022-04-07 13:37:56,760:INFO:Checking exceptions
  33795. 2022-04-07 13:37:56,760:INFO:Preloading libraries
  33796. 2022-04-07 13:43:20,825:INFO:Initializing load_model()
  33797. 2022-04-07 13:43:20,826:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  33798. 2022-04-07 13:57:54,115:INFO:Initializing predict_model()
  33799. 2022-04-07 13:57:54,115:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33800. DataTypes_Auto_infer(ml_usecase='classification',
  33801. target='label')),
  33802. ('imputer',
  33803. Simple_Imputer(categorical_strategy='not_available',
  33804. fill_value_categorical=None,
  33805. fill_value_numerical=None,
  33806. numeric_strategy='mean',
  33807. target_variable=None)),
  33808. ('new_levels1',
  33809. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33810. 'frequent',
  33811. targe...
  33812. gamma=0, gpu_id=0, importance_type=None,
  33813. interaction_constraints='', learning_rate=0.05,
  33814. max_delta_step=0, max_depth=64, max_leaves=4096,
  33815. min_child_weight=1, missing=nan,
  33816. monotone_constraints='()', n_estimators=100,
  33817. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33818. random_state=6597, reg_alpha=0, reg_lambda=1,
  33819. scale_pos_weight=1, subsample=1,
  33820. tree_method='gpu_hist', validate_parameters=1,
  33821. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33822. 2022-04-07 13:57:54,115:INFO:Checking exceptions
  33823. 2022-04-07 13:57:54,116:INFO:Preloading libraries
  33824. 2022-04-07 13:57:54,137:INFO:Initializing predict_model()
  33825. 2022-04-07 13:57:54,137:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33826. DataTypes_Auto_infer(ml_usecase='classification',
  33827. target='label')),
  33828. ('imputer',
  33829. Simple_Imputer(categorical_strategy='not_available',
  33830. fill_value_categorical=None,
  33831. fill_value_numerical=None,
  33832. numeric_strategy='mean',
  33833. target_variable=None)),
  33834. ('new_levels1',
  33835. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33836. 'frequent',
  33837. targe...
  33838. gamma=0, gpu_id=0, importance_type=None,
  33839. interaction_constraints='', learning_rate=0.05,
  33840. max_delta_step=0, max_depth=64, max_leaves=4096,
  33841. min_child_weight=1, missing=nan,
  33842. monotone_constraints='()', n_estimators=100,
  33843. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33844. random_state=6597, reg_alpha=0, reg_lambda=1,
  33845. scale_pos_weight=1, subsample=1,
  33846. tree_method='gpu_hist', validate_parameters=1,
  33847. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33848. 2022-04-07 13:57:54,138:INFO:Checking exceptions
  33849. 2022-04-07 13:57:54,138:INFO:Preloading libraries
  33850. 2022-04-07 13:57:54,161:INFO:Initializing predict_model()
  33851. 2022-04-07 13:57:54,161:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33852. DataTypes_Auto_infer(ml_usecase='classification',
  33853. target='label')),
  33854. ('imputer',
  33855. Simple_Imputer(categorical_strategy='not_available',
  33856. fill_value_categorical=None,
  33857. fill_value_numerical=None,
  33858. numeric_strategy='mean',
  33859. target_variable=None)),
  33860. ('new_levels1',
  33861. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33862. 'frequent',
  33863. targe...
  33864. gamma=0, gpu_id=0, importance_type=None,
  33865. interaction_constraints='', learning_rate=0.05,
  33866. max_delta_step=0, max_depth=64, max_leaves=4096,
  33867. min_child_weight=1, missing=nan,
  33868. monotone_constraints='()', n_estimators=100,
  33869. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33870. random_state=6597, reg_alpha=0, reg_lambda=1,
  33871. scale_pos_weight=1, subsample=1,
  33872. tree_method='gpu_hist', validate_parameters=1,
  33873. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33874. 2022-04-07 13:57:54,161:INFO:Checking exceptions
  33875. 2022-04-07 13:57:54,161:INFO:Preloading libraries
  33876. 2022-04-07 13:57:54,185:INFO:Initializing predict_model()
  33877. 2022-04-07 13:57:54,185:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33878. DataTypes_Auto_infer(ml_usecase='classification',
  33879. target='label')),
  33880. ('imputer',
  33881. Simple_Imputer(categorical_strategy='not_available',
  33882. fill_value_categorical=None,
  33883. fill_value_numerical=None,
  33884. numeric_strategy='mean',
  33885. target_variable=None)),
  33886. ('new_levels1',
  33887. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33888. 'frequent',
  33889. targe...
  33890. gamma=0, gpu_id=0, importance_type=None,
  33891. interaction_constraints='', learning_rate=0.05,
  33892. max_delta_step=0, max_depth=64, max_leaves=4096,
  33893. min_child_weight=1, missing=nan,
  33894. monotone_constraints='()', n_estimators=100,
  33895. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33896. random_state=6597, reg_alpha=0, reg_lambda=1,
  33897. scale_pos_weight=1, subsample=1,
  33898. tree_method='gpu_hist', validate_parameters=1,
  33899. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33900. 2022-04-07 13:57:54,185:INFO:Checking exceptions
  33901. 2022-04-07 13:57:54,185:INFO:Preloading libraries
  33902. 2022-04-07 13:57:54,207:INFO:Initializing predict_model()
  33903. 2022-04-07 13:57:54,207:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33904. DataTypes_Auto_infer(ml_usecase='classification',
  33905. target='label')),
  33906. ('imputer',
  33907. Simple_Imputer(categorical_strategy='not_available',
  33908. fill_value_categorical=None,
  33909. fill_value_numerical=None,
  33910. numeric_strategy='mean',
  33911. target_variable=None)),
  33912. ('new_levels1',
  33913. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33914. 'frequent',
  33915. targe...
  33916. gamma=0, gpu_id=0, importance_type=None,
  33917. interaction_constraints='', learning_rate=0.05,
  33918. max_delta_step=0, max_depth=64, max_leaves=4096,
  33919. min_child_weight=1, missing=nan,
  33920. monotone_constraints='()', n_estimators=100,
  33921. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33922. random_state=6597, reg_alpha=0, reg_lambda=1,
  33923. scale_pos_weight=1, subsample=1,
  33924. tree_method='gpu_hist', validate_parameters=1,
  33925. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33926. 2022-04-07 13:57:54,207:INFO:Checking exceptions
  33927. 2022-04-07 13:57:54,208:INFO:Preloading libraries
  33928. 2022-04-07 13:57:54,230:INFO:Initializing predict_model()
  33929. 2022-04-07 13:57:54,230:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33930. DataTypes_Auto_infer(ml_usecase='classification',
  33931. target='label')),
  33932. ('imputer',
  33933. Simple_Imputer(categorical_strategy='not_available',
  33934. fill_value_categorical=None,
  33935. fill_value_numerical=None,
  33936. numeric_strategy='mean',
  33937. target_variable=None)),
  33938. ('new_levels1',
  33939. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33940. 'frequent',
  33941. targe...
  33942. gamma=0, gpu_id=0, importance_type=None,
  33943. interaction_constraints='', learning_rate=0.05,
  33944. max_delta_step=0, max_depth=64, max_leaves=4096,
  33945. min_child_weight=1, missing=nan,
  33946. monotone_constraints='()', n_estimators=100,
  33947. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33948. random_state=6597, reg_alpha=0, reg_lambda=1,
  33949. scale_pos_weight=1, subsample=1,
  33950. tree_method='gpu_hist', validate_parameters=1,
  33951. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33952. 2022-04-07 13:57:54,231:INFO:Checking exceptions
  33953. 2022-04-07 13:57:54,231:INFO:Preloading libraries
  33954. 2022-04-07 13:57:54,252:INFO:Initializing predict_model()
  33955. 2022-04-07 13:57:54,252:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33956. DataTypes_Auto_infer(ml_usecase='classification',
  33957. target='label')),
  33958. ('imputer',
  33959. Simple_Imputer(categorical_strategy='not_available',
  33960. fill_value_categorical=None,
  33961. fill_value_numerical=None,
  33962. numeric_strategy='mean',
  33963. target_variable=None)),
  33964. ('new_levels1',
  33965. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33966. 'frequent',
  33967. targe...
  33968. gamma=0, gpu_id=0, importance_type=None,
  33969. interaction_constraints='', learning_rate=0.05,
  33970. max_delta_step=0, max_depth=64, max_leaves=4096,
  33971. min_child_weight=1, missing=nan,
  33972. monotone_constraints='()', n_estimators=100,
  33973. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  33974. random_state=6597, reg_alpha=0, reg_lambda=1,
  33975. scale_pos_weight=1, subsample=1,
  33976. tree_method='gpu_hist', validate_parameters=1,
  33977. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  33978. 2022-04-07 13:57:54,253:INFO:Checking exceptions
  33979. 2022-04-07 13:57:54,253:INFO:Preloading libraries
  33980. 2022-04-07 13:57:54,275:INFO:Initializing predict_model()
  33981. 2022-04-07 13:57:54,276:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  33982. DataTypes_Auto_infer(ml_usecase='classification',
  33983. target='label')),
  33984. ('imputer',
  33985. Simple_Imputer(categorical_strategy='not_available',
  33986. fill_value_categorical=None,
  33987. fill_value_numerical=None,
  33988. numeric_strategy='mean',
  33989. target_variable=None)),
  33990. ('new_levels1',
  33991. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  33992. 'frequent',
  33993. targe...
  33994. gamma=0, gpu_id=0, importance_type=None,
  33995. interaction_constraints='', learning_rate=0.05,
  33996. max_delta_step=0, max_depth=64, max_leaves=4096,
  33997. min_child_weight=1, missing=nan,
  33998. monotone_constraints='()', n_estimators=100,
  33999. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34000. random_state=6597, reg_alpha=0, reg_lambda=1,
  34001. scale_pos_weight=1, subsample=1,
  34002. tree_method='gpu_hist', validate_parameters=1,
  34003. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34004. 2022-04-07 13:57:54,276:INFO:Checking exceptions
  34005. 2022-04-07 13:57:54,276:INFO:Preloading libraries
  34006. 2022-04-07 13:57:54,299:INFO:Initializing predict_model()
  34007. 2022-04-07 13:57:54,299:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34008. DataTypes_Auto_infer(ml_usecase='classification',
  34009. target='label')),
  34010. ('imputer',
  34011. Simple_Imputer(categorical_strategy='not_available',
  34012. fill_value_categorical=None,
  34013. fill_value_numerical=None,
  34014. numeric_strategy='mean',
  34015. target_variable=None)),
  34016. ('new_levels1',
  34017. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34018. 'frequent',
  34019. targe...
  34020. gamma=0, gpu_id=0, importance_type=None,
  34021. interaction_constraints='', learning_rate=0.05,
  34022. max_delta_step=0, max_depth=64, max_leaves=4096,
  34023. min_child_weight=1, missing=nan,
  34024. monotone_constraints='()', n_estimators=100,
  34025. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34026. random_state=6597, reg_alpha=0, reg_lambda=1,
  34027. scale_pos_weight=1, subsample=1,
  34028. tree_method='gpu_hist', validate_parameters=1,
  34029. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34030. 2022-04-07 13:57:54,299:INFO:Checking exceptions
  34031. 2022-04-07 13:57:54,299:INFO:Preloading libraries
  34032. 2022-04-07 13:57:54,321:INFO:Initializing predict_model()
  34033. 2022-04-07 13:57:54,321:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34034. DataTypes_Auto_infer(ml_usecase='classification',
  34035. target='label')),
  34036. ('imputer',
  34037. Simple_Imputer(categorical_strategy='not_available',
  34038. fill_value_categorical=None,
  34039. fill_value_numerical=None,
  34040. numeric_strategy='mean',
  34041. target_variable=None)),
  34042. ('new_levels1',
  34043. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34044. 'frequent',
  34045. targe...
  34046. gamma=0, gpu_id=0, importance_type=None,
  34047. interaction_constraints='', learning_rate=0.05,
  34048. max_delta_step=0, max_depth=64, max_leaves=4096,
  34049. min_child_weight=1, missing=nan,
  34050. monotone_constraints='()', n_estimators=100,
  34051. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34052. random_state=6597, reg_alpha=0, reg_lambda=1,
  34053. scale_pos_weight=1, subsample=1,
  34054. tree_method='gpu_hist', validate_parameters=1,
  34055. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34056. 2022-04-07 13:57:54,321:INFO:Checking exceptions
  34057. 2022-04-07 13:57:54,321:INFO:Preloading libraries
  34058. 2022-04-07 13:59:29,858:INFO:PyCaret Supervised Module
  34059. 2022-04-07 13:59:29,859:INFO:ML Usecase: classification
  34060. 2022-04-07 13:59:29,859:INFO:version 2.3.9
  34061. 2022-04-07 13:59:29,859:INFO:Initializing setup()
  34062. 2022-04-07 13:59:29,859:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  34063. 2022-04-07 13:59:29,860:INFO:Checking environment
  34064. 2022-04-07 13:59:29,860:INFO:python_version: 3.8.13
  34065. 2022-04-07 13:59:29,860:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  34066. 2022-04-07 13:59:29,860:INFO:machine: x86_64
  34067. 2022-04-07 13:59:29,860:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  34068. 2022-04-07 13:59:29,861:INFO:Memory: svmem(total=33619935232, available=28020277248, percent=16.7, used=4743593984, free=23378206720, active=874209280, inactive=8600027136, buffers=219779072, cached=5278355456, shared=383381504, slab=434888704)
  34069. 2022-04-07 13:59:29,861:INFO:Physical Core: 16
  34070. 2022-04-07 13:59:29,861:INFO:Logical Core: 32
  34071. 2022-04-07 13:59:29,862:INFO:Checking libraries
  34072. 2022-04-07 13:59:29,862:INFO:pd==1.4.2
  34073. 2022-04-07 13:59:29,862:INFO:numpy==1.19.5
  34074. 2022-04-07 13:59:29,862:INFO:sklearn==0.23.2
  34075. 2022-04-07 13:59:29,862:INFO:lightgbm==3.3.2
  34076. 2022-04-07 13:59:29,863:WARNING:catboost not found
  34077. 2022-04-07 13:59:29,863:INFO:xgboost==1.5.2
  34078. 2022-04-07 13:59:29,863:INFO:mlflow==1.24.0
  34079. 2022-04-07 13:59:29,864:INFO:Checking Exceptions
  34080. 2022-04-07 13:59:29,864:INFO:Declaring global variables
  34081. 2022-04-07 13:59:29,864:INFO:USI: 7e18
  34082. 2022-04-07 13:59:29,864:INFO:pycaret_globals: {'_all_models_internal', 'fold_groups_param_full', 'USI', 'create_model_container', 'fold_shuffle_param', '_available_plots', 'display_container', 'fix_imbalance_method_param', 'transform_target_method_param', '_gpu_n_jobs_param', 'fold_param', 'y_test', 'seed', 'imputation_regressor', 'imputation_classifier', 'X_train', '_ml_usecase', '_internal_pipeline', 'fold_groups_param', 'y_train', 'data_before_preprocess', 'master_model_container', 'prep_pipe', 'transform_target_param', 'target_param', '_all_metrics', 'iterative_imputation_iters_param', 'experiment__', 'logging_param', 'html_param', 'stratify_param', 'X_test', 'dashboard_logger', 'exp_name_log', 'log_plots_param', 'fix_imbalance_param', 'pycaret_globals', 'fold_generator', 'n_jobs_param', 'gpu_param', 'y', '_all_models', 'X'}
  34083. 2022-04-07 13:59:29,864:INFO:Preparing display monitor
  34084. 2022-04-07 13:59:29,865:INFO:Preparing display monitor
  34085. 2022-04-07 13:59:29,871:INFO:Importing libraries
  34086. 2022-04-07 13:59:29,871:INFO:Copying data for preprocessing
  34087. 2022-04-07 13:59:29,876:INFO:Declaring preprocessing parameters
  34088. 2022-04-07 13:59:29,879:INFO:Creating preprocessing pipeline
  34089. 2022-04-07 13:59:29,907:INFO:Preprocessing pipeline created successfully
  34090. 2022-04-07 13:59:29,908:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  34091. 2022-04-07 13:59:29,908:INFO:Creating global containers
  34092. 2022-04-07 13:59:29,908:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  34093. 2022-04-07 13:59:31,994:WARNING:Couldn't import catboost.CatBoostClassifier
  34094. 2022-04-07 13:59:32,042:WARNING:Couldn't import catboost.CatBoostClassifier
  34095. 2022-04-07 13:59:32,043:INFO:Creating grid variables
  34096. 2022-04-07 13:59:32,049:INFO:create_model_container: 0
  34097. 2022-04-07 13:59:32,050:INFO:master_model_container: 0
  34098. 2022-04-07 13:59:32,050:INFO:display_container: 1
  34099. 2022-04-07 13:59:32,052:INFO:Pipeline(memory=None,
  34100. steps=[('dtypes',
  34101. DataTypes_Auto_infer(categorical_features=[],
  34102. display_types=True, features_todrop=[],
  34103. id_columns=[],
  34104. ml_usecase='classification',
  34105. numerical_features=[], target='label',
  34106. time_features=[])),
  34107. ('imputer',
  34108. Simple_Imputer(categorical_strategy='not_available',
  34109. fill_value_categorical=None,
  34110. fill_value_numerical=None,
  34111. numeric_strate...
  34112. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34113. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34114. ('cluster_all', 'passthrough'),
  34115. ('dummy', Dummify(target='label')),
  34116. ('fix_perfect', Remove_100(target='label')),
  34117. ('clean_names', Clean_Colum_Names()),
  34118. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34119. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34120. verbose=False)
  34121. 2022-04-07 13:59:32,053:INFO:setup() succesfully completed......................................
  34122. 2022-04-07 13:59:36,294:INFO:Initializing load_model()
  34123. 2022-04-07 13:59:36,294:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  34124. 2022-04-07 13:59:50,073:INFO:Initializing predict_model()
  34125. 2022-04-07 13:59:50,073:INFO:predict_model(estimator=Pipeline(memory=None,
  34126. steps=[('dtypes',
  34127. DataTypes_Auto_infer(categorical_features=[],
  34128. display_types=True, features_todrop=[],
  34129. id_columns=[],
  34130. ml_usecase='classification',
  34131. numerical_features=[], target='label',
  34132. time_features=[])),
  34133. ('imputer',
  34134. Simple_Imputer(categorical_strategy='not_available',
  34135. fill_value_categorical=None,
  34136. fill_value_numerical=None,
  34137. numeric_strate...
  34138. max_delta_step=0, max_depth=64, max_leaves=4096,
  34139. min_child_weight=1, missing=nan,
  34140. monotone_constraints='()', n_estimators=100,
  34141. n_jobs=-1, num_parallel_tree=1,
  34142. objective='binary:logistic', predictor='auto',
  34143. random_state=6597, reg_alpha=0, reg_lambda=1,
  34144. scale_pos_weight=1, subsample=1,
  34145. tree_method='gpu_hist', use_label_encoder=True,
  34146. validate_parameters=1, ...)]],
  34147. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34148. 2022-04-07 13:59:50,073:INFO:Checking exceptions
  34149. 2022-04-07 13:59:50,074:INFO:Preloading libraries
  34150. 2022-04-07 13:59:50,074:INFO:Preparing display monitor
  34151. 2022-04-07 13:59:53,787:INFO:Initializing get_config()
  34152. 2022-04-07 13:59:53,788:INFO:get_config(variable=prep_pipe)
  34153. 2022-04-07 13:59:53,790:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  34154. steps=[('dtypes',
  34155. DataTypes_Auto_infer(categorical_features=[],
  34156. display_types=True, features_todrop=[],
  34157. id_columns=[],
  34158. ml_usecase='classification',
  34159. numerical_features=[], target='label',
  34160. time_features=[])),
  34161. ('imputer',
  34162. Simple_Imputer(categorical_strategy='not_available',
  34163. fill_value_categorical=None,
  34164. fill_value_numerical=None,
  34165. numeric_strate...
  34166. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34167. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34168. ('cluster_all', 'passthrough'),
  34169. ('dummy', Dummify(target='label')),
  34170. ('fix_perfect', Remove_100(target='label')),
  34171. ('clean_names', Clean_Colum_Names()),
  34172. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34173. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34174. verbose=False)
  34175. 2022-04-07 13:59:53,790:INFO:get_config() succesfully completed......................................
  34176. 2022-04-07 13:59:53,791:INFO:Initializing get_config()
  34177. 2022-04-07 13:59:53,791:INFO:get_config(variable=data_before_preprocess)
  34178. 2022-04-07 13:59:53,794:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  34179. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  34180. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  34181. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  34182. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  34183. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  34184. ... ... ... ... ... ... ... ... ... ... ...
  34185. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  34186. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  34187. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  34188. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  34189. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  34190. minute
  34191. 0 0
  34192. 1 1
  34193. 2 2
  34194. 3 3
  34195. 4 4
  34196. ... ...
  34197. 64795 55
  34198. 64796 56
  34199. 64797 57
  34200. 64798 58
  34201. 64799 59
  34202. [64800 rows x 11 columns]
  34203. 2022-04-07 13:59:53,794:INFO:get_config() succesfully completed......................................
  34204. 2022-04-07 13:59:53,796:INFO:Initializing get_config()
  34205. 2022-04-07 13:59:53,796:INFO:get_config(variable=prep_pipe)
  34206. 2022-04-07 13:59:53,799:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  34207. steps=[('dtypes',
  34208. DataTypes_Auto_infer(categorical_features=[],
  34209. display_types=True, features_todrop=[],
  34210. id_columns=[],
  34211. ml_usecase='classification',
  34212. numerical_features=[], target='label',
  34213. time_features=[])),
  34214. ('imputer',
  34215. Simple_Imputer(categorical_strategy='not_available',
  34216. fill_value_categorical=None,
  34217. fill_value_numerical=None,
  34218. numeric_strate...
  34219. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34220. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34221. ('cluster_all', 'passthrough'),
  34222. ('dummy', Dummify(target='label')),
  34223. ('fix_perfect', Remove_100(target='label')),
  34224. ('clean_names', Clean_Colum_Names()),
  34225. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34226. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34227. verbose=False)
  34228. 2022-04-07 13:59:53,799:INFO:get_config() succesfully completed......................................
  34229. 2022-04-07 13:59:53,799:INFO:Initializing get_config()
  34230. 2022-04-07 13:59:53,799:INFO:get_config(variable=prep_pipe)
  34231. 2022-04-07 13:59:53,801:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  34232. steps=[('dtypes',
  34233. DataTypes_Auto_infer(categorical_features=[],
  34234. display_types=True, features_todrop=[],
  34235. id_columns=[],
  34236. ml_usecase='classification',
  34237. numerical_features=[], target='label',
  34238. time_features=[])),
  34239. ('imputer',
  34240. Simple_Imputer(categorical_strategy='not_available',
  34241. fill_value_categorical=None,
  34242. fill_value_numerical=None,
  34243. numeric_strate...
  34244. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34245. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34246. ('cluster_all', 'passthrough'),
  34247. ('dummy', Dummify(target='label')),
  34248. ('fix_perfect', Remove_100(target='label')),
  34249. ('clean_names', Clean_Colum_Names()),
  34250. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34251. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34252. verbose=False)
  34253. 2022-04-07 13:59:53,801:INFO:get_config() succesfully completed......................................
  34254. 2022-04-07 13:59:53,802:INFO:Initializing get_config()
  34255. 2022-04-07 13:59:53,802:INFO:get_config(variable=prep_pipe)
  34256. 2022-04-07 13:59:53,804:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  34257. steps=[('dtypes',
  34258. DataTypes_Auto_infer(categorical_features=[],
  34259. display_types=True, features_todrop=[],
  34260. id_columns=[],
  34261. ml_usecase='classification',
  34262. numerical_features=[], target='label',
  34263. time_features=[])),
  34264. ('imputer',
  34265. Simple_Imputer(categorical_strategy='not_available',
  34266. fill_value_categorical=None,
  34267. fill_value_numerical=None,
  34268. numeric_strate...
  34269. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34270. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34271. ('cluster_all', 'passthrough'),
  34272. ('dummy', Dummify(target='label')),
  34273. ('fix_perfect', Remove_100(target='label')),
  34274. ('clean_names', Clean_Colum_Names()),
  34275. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34276. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34277. verbose=False)
  34278. 2022-04-07 13:59:53,805:INFO:get_config() succesfully completed......................................
  34279. 2022-04-07 13:59:53,813:INFO:Initializing save_model()
  34280. 2022-04-07 13:59:53,813:INFO:save_model(model=Pipeline(memory=None,
  34281. steps=[('dtypes',
  34282. DataTypes_Auto_infer(categorical_features=[],
  34283. display_types=True, features_todrop=[],
  34284. id_columns=[],
  34285. ml_usecase='classification',
  34286. numerical_features=[], target='label',
  34287. time_features=[])),
  34288. ('imputer',
  34289. Simple_Imputer(categorical_strategy='not_available',
  34290. fill_value_categorical=None,
  34291. fill_value_numerical=None,
  34292. numeric_strate...
  34293. max_delta_step=0, max_depth=64, max_leaves=4096,
  34294. min_child_weight=1, missing=nan,
  34295. monotone_constraints='()', n_estimators=100,
  34296. n_jobs=-1, num_parallel_tree=1,
  34297. objective='binary:logistic', predictor='auto',
  34298. random_state=6597, reg_alpha=0, reg_lambda=1,
  34299. scale_pos_weight=1, subsample=1,
  34300. tree_method='gpu_hist', use_label_encoder=True,
  34301. validate_parameters=1, ...)]],
  34302. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  34303. steps=[('dtypes',
  34304. DataTypes_Auto_infer(categorical_features=[],
  34305. display_types=True, features_todrop=[],
  34306. id_columns=[],
  34307. ml_usecase='classification',
  34308. numerical_features=[], target='label',
  34309. time_features=[])),
  34310. ('imputer',
  34311. Simple_Imputer(categorical_strategy='not_available',
  34312. fill_value_categorical=None,
  34313. fill_value_numerical=None,
  34314. numeric_strate...
  34315. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34316. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34317. ('cluster_all', 'passthrough'),
  34318. ('dummy', Dummify(target='label')),
  34319. ('fix_perfect', Remove_100(target='label')),
  34320. ('clean_names', Clean_Colum_Names()),
  34321. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34322. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34323. verbose=False), verbose=False, kwargs={})
  34324. 2022-04-07 13:59:53,813:INFO:Adding model into prep_pipe
  34325. 2022-04-07 13:59:53,949:WARNING:Only Model saved as it was a pipeline.
  34326. 2022-04-07 13:59:54,026:INFO:my_api.pkl saved in current working directory
  34327. 2022-04-07 13:59:54,032:INFO:Pipeline(memory=None,
  34328. steps=[('dtypes',
  34329. DataTypes_Auto_infer(categorical_features=[],
  34330. display_types=True, features_todrop=[],
  34331. id_columns=[],
  34332. ml_usecase='classification',
  34333. numerical_features=[], target='label',
  34334. time_features=[])),
  34335. ('imputer',
  34336. Simple_Imputer(categorical_strategy='not_available',
  34337. fill_value_categorical=None,
  34338. fill_value_numerical=None,
  34339. numeric_strate...
  34340. max_delta_step=0, max_depth=64, max_leaves=4096,
  34341. min_child_weight=1, missing=nan,
  34342. monotone_constraints='()', n_estimators=100,
  34343. n_jobs=-1, num_parallel_tree=1,
  34344. objective='binary:logistic', predictor='auto',
  34345. random_state=6597, reg_alpha=0, reg_lambda=1,
  34346. scale_pos_weight=1, subsample=1,
  34347. tree_method='gpu_hist', use_label_encoder=True,
  34348. validate_parameters=1, ...)]],
  34349. verbose=False)
  34350. 2022-04-07 13:59:54,033:INFO:save_model() successfully completed......................................
  34351. 2022-04-07 14:00:31,372:INFO:Initializing load_model()
  34352. 2022-04-07 14:00:31,373:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  34353. 2022-04-07 14:00:35,752:INFO:Initializing predict_model()
  34354. 2022-04-07 14:00:35,752:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34355. DataTypes_Auto_infer(ml_usecase='classification',
  34356. target='label')),
  34357. ('imputer',
  34358. Simple_Imputer(categorical_strategy='not_available',
  34359. fill_value_categorical=None,
  34360. fill_value_numerical=None,
  34361. numeric_strategy='mean',
  34362. target_variable=None)),
  34363. ('new_levels1',
  34364. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34365. 'frequent',
  34366. targe...
  34367. gamma=0, gpu_id=0, importance_type=None,
  34368. interaction_constraints='', learning_rate=0.05,
  34369. max_delta_step=0, max_depth=64, max_leaves=4096,
  34370. min_child_weight=1, missing=nan,
  34371. monotone_constraints='()', n_estimators=100,
  34372. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34373. random_state=6597, reg_alpha=0, reg_lambda=1,
  34374. scale_pos_weight=1, subsample=1,
  34375. tree_method='gpu_hist', validate_parameters=1,
  34376. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34377. 2022-04-07 14:00:35,753:INFO:Checking exceptions
  34378. 2022-04-07 14:00:35,753:INFO:Preloading libraries
  34379. 2022-04-07 14:00:35,773:INFO:Initializing predict_model()
  34380. 2022-04-07 14:00:35,774:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34381. DataTypes_Auto_infer(ml_usecase='classification',
  34382. target='label')),
  34383. ('imputer',
  34384. Simple_Imputer(categorical_strategy='not_available',
  34385. fill_value_categorical=None,
  34386. fill_value_numerical=None,
  34387. numeric_strategy='mean',
  34388. target_variable=None)),
  34389. ('new_levels1',
  34390. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34391. 'frequent',
  34392. targe...
  34393. gamma=0, gpu_id=0, importance_type=None,
  34394. interaction_constraints='', learning_rate=0.05,
  34395. max_delta_step=0, max_depth=64, max_leaves=4096,
  34396. min_child_weight=1, missing=nan,
  34397. monotone_constraints='()', n_estimators=100,
  34398. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34399. random_state=6597, reg_alpha=0, reg_lambda=1,
  34400. scale_pos_weight=1, subsample=1,
  34401. tree_method='gpu_hist', validate_parameters=1,
  34402. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34403. 2022-04-07 14:00:35,774:INFO:Checking exceptions
  34404. 2022-04-07 14:00:35,774:INFO:Preloading libraries
  34405. 2022-04-07 14:00:35,795:INFO:Initializing predict_model()
  34406. 2022-04-07 14:00:35,795:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34407. DataTypes_Auto_infer(ml_usecase='classification',
  34408. target='label')),
  34409. ('imputer',
  34410. Simple_Imputer(categorical_strategy='not_available',
  34411. fill_value_categorical=None,
  34412. fill_value_numerical=None,
  34413. numeric_strategy='mean',
  34414. target_variable=None)),
  34415. ('new_levels1',
  34416. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34417. 'frequent',
  34418. targe...
  34419. gamma=0, gpu_id=0, importance_type=None,
  34420. interaction_constraints='', learning_rate=0.05,
  34421. max_delta_step=0, max_depth=64, max_leaves=4096,
  34422. min_child_weight=1, missing=nan,
  34423. monotone_constraints='()', n_estimators=100,
  34424. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34425. random_state=6597, reg_alpha=0, reg_lambda=1,
  34426. scale_pos_weight=1, subsample=1,
  34427. tree_method='gpu_hist', validate_parameters=1,
  34428. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34429. 2022-04-07 14:00:35,796:INFO:Checking exceptions
  34430. 2022-04-07 14:00:35,796:INFO:Preloading libraries
  34431. 2022-04-07 14:00:35,815:INFO:Initializing predict_model()
  34432. 2022-04-07 14:00:35,815:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34433. DataTypes_Auto_infer(ml_usecase='classification',
  34434. target='label')),
  34435. ('imputer',
  34436. Simple_Imputer(categorical_strategy='not_available',
  34437. fill_value_categorical=None,
  34438. fill_value_numerical=None,
  34439. numeric_strategy='mean',
  34440. target_variable=None)),
  34441. ('new_levels1',
  34442. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34443. 'frequent',
  34444. targe...
  34445. gamma=0, gpu_id=0, importance_type=None,
  34446. interaction_constraints='', learning_rate=0.05,
  34447. max_delta_step=0, max_depth=64, max_leaves=4096,
  34448. min_child_weight=1, missing=nan,
  34449. monotone_constraints='()', n_estimators=100,
  34450. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34451. random_state=6597, reg_alpha=0, reg_lambda=1,
  34452. scale_pos_weight=1, subsample=1,
  34453. tree_method='gpu_hist', validate_parameters=1,
  34454. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34455. 2022-04-07 14:00:35,816:INFO:Checking exceptions
  34456. 2022-04-07 14:00:35,816:INFO:Preloading libraries
  34457. 2022-04-07 14:00:35,836:INFO:Initializing predict_model()
  34458. 2022-04-07 14:00:35,836:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34459. DataTypes_Auto_infer(ml_usecase='classification',
  34460. target='label')),
  34461. ('imputer',
  34462. Simple_Imputer(categorical_strategy='not_available',
  34463. fill_value_categorical=None,
  34464. fill_value_numerical=None,
  34465. numeric_strategy='mean',
  34466. target_variable=None)),
  34467. ('new_levels1',
  34468. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34469. 'frequent',
  34470. targe...
  34471. gamma=0, gpu_id=0, importance_type=None,
  34472. interaction_constraints='', learning_rate=0.05,
  34473. max_delta_step=0, max_depth=64, max_leaves=4096,
  34474. min_child_weight=1, missing=nan,
  34475. monotone_constraints='()', n_estimators=100,
  34476. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34477. random_state=6597, reg_alpha=0, reg_lambda=1,
  34478. scale_pos_weight=1, subsample=1,
  34479. tree_method='gpu_hist', validate_parameters=1,
  34480. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34481. 2022-04-07 14:00:35,836:INFO:Checking exceptions
  34482. 2022-04-07 14:00:35,836:INFO:Preloading libraries
  34483. 2022-04-07 14:00:35,858:INFO:Initializing predict_model()
  34484. 2022-04-07 14:00:35,858:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34485. DataTypes_Auto_infer(ml_usecase='classification',
  34486. target='label')),
  34487. ('imputer',
  34488. Simple_Imputer(categorical_strategy='not_available',
  34489. fill_value_categorical=None,
  34490. fill_value_numerical=None,
  34491. numeric_strategy='mean',
  34492. target_variable=None)),
  34493. ('new_levels1',
  34494. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34495. 'frequent',
  34496. targe...
  34497. gamma=0, gpu_id=0, importance_type=None,
  34498. interaction_constraints='', learning_rate=0.05,
  34499. max_delta_step=0, max_depth=64, max_leaves=4096,
  34500. min_child_weight=1, missing=nan,
  34501. monotone_constraints='()', n_estimators=100,
  34502. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34503. random_state=6597, reg_alpha=0, reg_lambda=1,
  34504. scale_pos_weight=1, subsample=1,
  34505. tree_method='gpu_hist', validate_parameters=1,
  34506. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34507. 2022-04-07 14:00:35,858:INFO:Checking exceptions
  34508. 2022-04-07 14:00:35,859:INFO:Preloading libraries
  34509. 2022-04-07 14:00:35,878:INFO:Initializing predict_model()
  34510. 2022-04-07 14:00:35,878:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34511. DataTypes_Auto_infer(ml_usecase='classification',
  34512. target='label')),
  34513. ('imputer',
  34514. Simple_Imputer(categorical_strategy='not_available',
  34515. fill_value_categorical=None,
  34516. fill_value_numerical=None,
  34517. numeric_strategy='mean',
  34518. target_variable=None)),
  34519. ('new_levels1',
  34520. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34521. 'frequent',
  34522. targe...
  34523. gamma=0, gpu_id=0, importance_type=None,
  34524. interaction_constraints='', learning_rate=0.05,
  34525. max_delta_step=0, max_depth=64, max_leaves=4096,
  34526. min_child_weight=1, missing=nan,
  34527. monotone_constraints='()', n_estimators=100,
  34528. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34529. random_state=6597, reg_alpha=0, reg_lambda=1,
  34530. scale_pos_weight=1, subsample=1,
  34531. tree_method='gpu_hist', validate_parameters=1,
  34532. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34533. 2022-04-07 14:00:35,878:INFO:Checking exceptions
  34534. 2022-04-07 14:00:35,879:INFO:Preloading libraries
  34535. 2022-04-07 14:00:35,899:INFO:Initializing predict_model()
  34536. 2022-04-07 14:00:35,899:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34537. DataTypes_Auto_infer(ml_usecase='classification',
  34538. target='label')),
  34539. ('imputer',
  34540. Simple_Imputer(categorical_strategy='not_available',
  34541. fill_value_categorical=None,
  34542. fill_value_numerical=None,
  34543. numeric_strategy='mean',
  34544. target_variable=None)),
  34545. ('new_levels1',
  34546. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34547. 'frequent',
  34548. targe...
  34549. gamma=0, gpu_id=0, importance_type=None,
  34550. interaction_constraints='', learning_rate=0.05,
  34551. max_delta_step=0, max_depth=64, max_leaves=4096,
  34552. min_child_weight=1, missing=nan,
  34553. monotone_constraints='()', n_estimators=100,
  34554. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34555. random_state=6597, reg_alpha=0, reg_lambda=1,
  34556. scale_pos_weight=1, subsample=1,
  34557. tree_method='gpu_hist', validate_parameters=1,
  34558. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34559. 2022-04-07 14:00:35,899:INFO:Checking exceptions
  34560. 2022-04-07 14:00:35,900:INFO:Preloading libraries
  34561. 2022-04-07 14:00:35,921:INFO:Initializing predict_model()
  34562. 2022-04-07 14:00:35,922:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34563. DataTypes_Auto_infer(ml_usecase='classification',
  34564. target='label')),
  34565. ('imputer',
  34566. Simple_Imputer(categorical_strategy='not_available',
  34567. fill_value_categorical=None,
  34568. fill_value_numerical=None,
  34569. numeric_strategy='mean',
  34570. target_variable=None)),
  34571. ('new_levels1',
  34572. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34573. 'frequent',
  34574. targe...
  34575. gamma=0, gpu_id=0, importance_type=None,
  34576. interaction_constraints='', learning_rate=0.05,
  34577. max_delta_step=0, max_depth=64, max_leaves=4096,
  34578. min_child_weight=1, missing=nan,
  34579. monotone_constraints='()', n_estimators=100,
  34580. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34581. random_state=6597, reg_alpha=0, reg_lambda=1,
  34582. scale_pos_weight=1, subsample=1,
  34583. tree_method='gpu_hist', validate_parameters=1,
  34584. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34585. 2022-04-07 14:00:35,922:INFO:Checking exceptions
  34586. 2022-04-07 14:00:35,922:INFO:Preloading libraries
  34587. 2022-04-07 14:00:35,942:INFO:Initializing predict_model()
  34588. 2022-04-07 14:00:35,942:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  34589. DataTypes_Auto_infer(ml_usecase='classification',
  34590. target='label')),
  34591. ('imputer',
  34592. Simple_Imputer(categorical_strategy='not_available',
  34593. fill_value_categorical=None,
  34594. fill_value_numerical=None,
  34595. numeric_strategy='mean',
  34596. target_variable=None)),
  34597. ('new_levels1',
  34598. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  34599. 'frequent',
  34600. targe...
  34601. gamma=0, gpu_id=0, importance_type=None,
  34602. interaction_constraints='', learning_rate=0.05,
  34603. max_delta_step=0, max_depth=64, max_leaves=4096,
  34604. min_child_weight=1, missing=nan,
  34605. monotone_constraints='()', n_estimators=100,
  34606. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  34607. random_state=6597, reg_alpha=0, reg_lambda=1,
  34608. scale_pos_weight=1, subsample=1,
  34609. tree_method='gpu_hist', validate_parameters=1,
  34610. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  34611. 2022-04-07 14:00:35,942:INFO:Checking exceptions
  34612. 2022-04-07 14:00:35,943:INFO:Preloading libraries
  34613. 2022-04-07 14:02:11,216:INFO:PyCaret Supervised Module
  34614. 2022-04-07 14:02:11,216:INFO:ML Usecase: classification
  34615. 2022-04-07 14:02:11,216:INFO:version 2.3.6
  34616. 2022-04-07 14:02:11,217:INFO:Initializing setup()
  34617. 2022-04-07 14:02:11,217:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  34618. 2022-04-07 14:02:11,217:INFO:Checking environment
  34619. 2022-04-07 14:02:11,217:INFO:python_version: 3.8.8
  34620. 2022-04-07 14:02:11,218:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  34621. 2022-04-07 14:02:11,218:INFO:machine: x86_64
  34622. 2022-04-07 14:02:11,218:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  34623. 2022-04-07 14:02:11,218:INFO:Memory: svmem(total=33619935232, available=27888807936, percent=17.0, used=4875071488, free=23226101760, active=911716352, inactive=8711757824, buffers=220135424, cached=5298626560, shared=383381504, slab=435359744)
  34624. 2022-04-07 14:02:11,219:INFO:Physical Core: 16
  34625. 2022-04-07 14:02:11,219:INFO:Logical Core: 32
  34626. 2022-04-07 14:02:11,219:INFO:Checking libraries
  34627. 2022-04-07 14:02:11,220:INFO:pd==1.3.0
  34628. 2022-04-07 14:02:11,220:INFO:numpy==1.22.3
  34629. 2022-04-07 14:02:11,220:INFO:sklearn==0.23.2
  34630. 2022-04-07 14:02:11,220:INFO:lightgbm==3.3.2
  34631. 2022-04-07 14:02:11,221:WARNING:catboost not found
  34632. 2022-04-07 14:02:11,293:INFO:xgboost==1.4.2
  34633. 2022-04-07 14:02:11,486:INFO:mlflow==1.22.0
  34634. 2022-04-07 14:02:11,487:INFO:Checking Exceptions
  34635. 2022-04-07 14:02:11,488:INFO:Declaring global variables
  34636. 2022-04-07 14:02:11,488:INFO:USI: b2c1
  34637. 2022-04-07 14:02:11,489:INFO:pycaret_globals: {'display_container', 'exp_name_log', '_gpu_n_jobs_param', 'transform_target_method_param', '_internal_pipeline', 'X_test', '_available_plots', 'fold_generator', 'n_jobs_param', 'experiment__', 'y_train', 'pycaret_globals', 'fix_imbalance_method_param', 'fold_groups_param', 'seed', 'fix_imbalance_param', 'gpu_param', 'imputation_classifier', 'fold_param', 'data_before_preprocess', 'iterative_imputation_iters_param', 'X_train', 'master_model_container', 'y', '_ml_usecase', 'log_plots_param', 'create_model_container', 'target_param', 'fold_shuffle_param', 'fold_groups_param_full', '_all_models', '_all_metrics', 'imputation_regressor', 'html_param', 'logging_param', '_all_models_internal', 'stratify_param', 'X', 'y_test', 'transform_target_param', 'USI', 'prep_pipe'}
  34638. 2022-04-07 14:02:11,489:INFO:Preparing display monitor
  34639. 2022-04-07 14:02:11,489:INFO:Preparing display monitor
  34640. 2022-04-07 14:02:11,499:INFO:Importing libraries
  34641. 2022-04-07 14:02:11,500:INFO:Copying data for preprocessing
  34642. 2022-04-07 14:02:11,506:INFO:Declaring preprocessing parameters
  34643. 2022-04-07 14:02:11,507:WARNING:cuML not found
  34644. 2022-04-07 14:02:11,507:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  34645. 2022-04-07 14:02:11,511:INFO:Creating preprocessing pipeline
  34646. 2022-04-07 14:02:11,549:INFO:Preprocessing pipeline created successfully
  34647. 2022-04-07 14:02:11,550:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  34648. 2022-04-07 14:02:11,550:INFO:Creating global containers
  34649. 2022-04-07 14:02:11,551:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  34650. 2022-04-07 14:02:13,362:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  34651. 2022-04-07 14:02:13,389:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  34652. 2022-04-07 14:02:13,392:WARNING:Couldn't import cuml.MBSGDClassifier
  34653. 2022-04-07 14:02:13,392:WARNING:Couldn't import cuml.svm.SVC
  34654. 2022-04-07 14:02:13,408:WARNING:Couldn't import cuml.linear_model
  34655. 2022-04-07 14:02:13,411:WARNING:Couldn't import cuml.ensemble
  34656. 2022-04-07 14:02:13,435:WARNING:Couldn't import catboost.CatBoostClassifier
  34657. 2022-04-07 14:02:13,436:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  34658. 2022-04-07 14:02:13,464:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  34659. 2022-04-07 14:02:13,465:WARNING:Couldn't import cuml.MBSGDClassifier
  34660. 2022-04-07 14:02:13,465:WARNING:Couldn't import cuml.svm.SVC
  34661. 2022-04-07 14:02:13,479:WARNING:Couldn't import cuml.linear_model
  34662. 2022-04-07 14:02:13,482:WARNING:Couldn't import cuml.ensemble
  34663. 2022-04-07 14:02:13,487:WARNING:Couldn't import catboost.CatBoostClassifier
  34664. 2022-04-07 14:02:13,488:INFO:Creating grid variables
  34665. 2022-04-07 14:02:13,497:INFO:create_model_container: 0
  34666. 2022-04-07 14:02:13,497:INFO:master_model_container: 0
  34667. 2022-04-07 14:02:13,497:INFO:display_container: 1
  34668. 2022-04-07 14:02:13,500:INFO:Pipeline(memory=None,
  34669. steps=[('dtypes',
  34670. DataTypes_Auto_infer(categorical_features=[],
  34671. display_types=True, features_todrop=[],
  34672. id_columns=[],
  34673. ml_usecase='classification',
  34674. numerical_features=[], target='label',
  34675. time_features=[])),
  34676. ('imputer',
  34677. Simple_Imputer(categorical_strategy='not_available',
  34678. fill_value_categorical=None,
  34679. fill_value_numerical=None,
  34680. numeric_strate...
  34681. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34682. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34683. ('cluster_all', 'passthrough'),
  34684. ('dummy', Dummify(target='label')),
  34685. ('fix_perfect', Remove_100(target='label')),
  34686. ('clean_names', Clean_Colum_Names()),
  34687. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34688. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34689. verbose=False)
  34690. 2022-04-07 14:02:13,500:INFO:setup() succesfully completed......................................
  34691. 2022-04-07 14:02:23,664:INFO:Initializing create_model()
  34692. 2022-04-07 14:02:23,664:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  34693. 2022-04-07 14:02:23,664:INFO:Checking exceptions
  34694. 2022-04-07 14:02:23,665:INFO:Preparing display monitor
  34695. 2022-04-07 14:02:23,675:INFO:Importing libraries
  34696. 2022-04-07 14:02:23,676:INFO:Copying training dataset
  34697. 2022-04-07 14:02:23,677:INFO:Defining folds
  34698. 2022-04-07 14:02:23,677:INFO:Declaring metric variables
  34699. 2022-04-07 14:02:23,682:INFO:Importing untrained model
  34700. 2022-04-07 14:02:23,687:INFO:Extreme Gradient Boosting Imported succesfully
  34701. 2022-04-07 14:02:23,696:INFO:Starting cross validation
  34702. 2022-04-07 14:02:23,697:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  34703. 2022-04-07 14:02:24,493:INFO:Calculating mean and std
  34704. 2022-04-07 14:02:24,494:INFO:Creating metrics dataframe
  34705. 2022-04-07 14:02:24,502:INFO:Finalizing model
  34706. 2022-04-07 14:03:18,751:INFO:PyCaret Supervised Module
  34707. 2022-04-07 14:03:18,751:INFO:ML Usecase: classification
  34708. 2022-04-07 14:03:18,751:INFO:version 2.3.6
  34709. 2022-04-07 14:03:18,751:INFO:Initializing setup()
  34710. 2022-04-07 14:03:18,751:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  34711. 2022-04-07 14:03:18,751:INFO:Checking environment
  34712. 2022-04-07 14:03:18,751:INFO:python_version: 3.8.12
  34713. 2022-04-07 14:03:18,751:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  34714. 2022-04-07 14:03:18,751:INFO:machine: AMD64
  34715. 2022-04-07 14:03:18,752:INFO:platform: Windows-10-10.0.22000-SP0
  34716. 2022-04-07 14:03:18,752:INFO:Memory: svmem(total=68629368832, available=44612800512, percent=35.0, used=24016568320, free=44612800512)
  34717. 2022-04-07 14:03:18,752:INFO:Physical Core: 16
  34718. 2022-04-07 14:03:18,752:INFO:Logical Core: 32
  34719. 2022-04-07 14:03:18,752:INFO:Checking libraries
  34720. 2022-04-07 14:03:18,752:INFO:pd==1.3.5
  34721. 2022-04-07 14:03:18,752:INFO:numpy==1.21.5
  34722. 2022-04-07 14:03:18,752:INFO:sklearn==0.23.2
  34723. 2022-04-07 14:03:18,752:INFO:lightgbm==3.3.2
  34724. 2022-04-07 14:03:19,023:INFO:catboost==1.0.4
  34725. 2022-04-07 14:03:19,323:INFO:xgboost==1.5.2
  34726. 2022-04-07 14:03:19,908:INFO:mlflow==1.23.1
  34727. 2022-04-07 14:03:19,908:INFO:Checking Exceptions
  34728. 2022-04-07 14:03:19,909:INFO:Declaring global variables
  34729. 2022-04-07 14:03:19,909:INFO:USI: d27e
  34730. 2022-04-07 14:03:19,909:INFO:pycaret_globals: {'data_before_preprocess', 'fold_groups_param', 'fix_imbalance_param', 'fold_param', 'transform_target_param', 'n_jobs_param', 'imputation_classifier', 'fold_groups_param_full', 'html_param', 'transform_target_method_param', 'experiment__', 'y_train', 'iterative_imputation_iters_param', 'fold_generator', 'X_test', 'logging_param', '_available_plots', '_internal_pipeline', 'pycaret_globals', '_all_metrics', 'target_param', 'fix_imbalance_method_param', 'create_model_container', '_gpu_n_jobs_param', 'seed', 'fold_shuffle_param', 'stratify_param', '_ml_usecase', '_all_models', 'USI', '_all_models_internal', 'y_test', 'prep_pipe', 'imputation_regressor', 'gpu_param', 'exp_name_log', 'log_plots_param', 'y', 'X_train', 'X', 'master_model_container', 'display_container'}
  34731. 2022-04-07 14:03:19,909:INFO:Preparing display monitor
  34732. 2022-04-07 14:03:19,909:INFO:Preparing display monitor
  34733. 2022-04-07 14:03:19,920:INFO:Importing libraries
  34734. 2022-04-07 14:03:19,920:INFO:Copying data for preprocessing
  34735. 2022-04-07 14:03:19,926:INFO:Declaring preprocessing parameters
  34736. 2022-04-07 14:03:19,927:WARNING:cuML not found
  34737. 2022-04-07 14:03:19,927:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  34738. 2022-04-07 14:03:19,930:INFO:Creating preprocessing pipeline
  34739. 2022-04-07 14:03:19,977:INFO:Preprocessing pipeline created successfully
  34740. 2022-04-07 14:03:19,977:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  34741. 2022-04-07 14:03:19,977:INFO:Creating global containers
  34742. 2022-04-07 14:03:19,979:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  34743. 2022-04-07 14:03:21,343:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  34744. 2022-04-07 14:03:21,378:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  34745. 2022-04-07 14:03:21,380:WARNING:Couldn't import cuml.MBSGDClassifier
  34746. 2022-04-07 14:03:21,381:WARNING:Couldn't import cuml.svm.SVC
  34747. 2022-04-07 14:03:21,402:WARNING:Couldn't import cuml.linear_model
  34748. 2022-04-07 14:03:21,406:WARNING:Couldn't import cuml.ensemble
  34749. 2022-04-07 14:03:22,058:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  34750. 2022-04-07 14:03:22,118:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  34751. 2022-04-07 14:03:22,119:WARNING:Couldn't import cuml.MBSGDClassifier
  34752. 2022-04-07 14:03:22,121:WARNING:Couldn't import cuml.svm.SVC
  34753. 2022-04-07 14:03:22,151:WARNING:Couldn't import cuml.linear_model
  34754. 2022-04-07 14:03:22,156:WARNING:Couldn't import cuml.ensemble
  34755. 2022-04-07 14:03:22,283:INFO:Creating grid variables
  34756. 2022-04-07 14:03:22,298:INFO:create_model_container: 0
  34757. 2022-04-07 14:03:22,298:INFO:master_model_container: 0
  34758. 2022-04-07 14:03:22,298:INFO:display_container: 1
  34759. 2022-04-07 14:03:22,303:INFO:Pipeline(memory=None,
  34760. steps=[('dtypes',
  34761. DataTypes_Auto_infer(categorical_features=[],
  34762. display_types=True, features_todrop=[],
  34763. id_columns=[],
  34764. ml_usecase='classification',
  34765. numerical_features=[], target='label',
  34766. time_features=[])),
  34767. ('imputer',
  34768. Simple_Imputer(categorical_strategy='not_available',
  34769. fill_value_categorical=None,
  34770. fill_value_numerical=None,
  34771. numeric_strate...
  34772. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34773. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34774. ('cluster_all', 'passthrough'),
  34775. ('dummy', Dummify(target='label')),
  34776. ('fix_perfect', Remove_100(target='label')),
  34777. ('clean_names', Clean_Colum_Names()),
  34778. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34779. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34780. verbose=False)
  34781. 2022-04-07 14:03:22,304:INFO:setup() succesfully completed......................................
  34782. 2022-04-07 14:03:26,278:INFO:Initializing create_model()
  34783. 2022-04-07 14:03:26,278:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  34784. 2022-04-07 14:03:26,278:INFO:Checking exceptions
  34785. 2022-04-07 14:03:26,278:INFO:Preparing display monitor
  34786. 2022-04-07 14:03:26,288:INFO:Importing libraries
  34787. 2022-04-07 14:03:26,288:INFO:Copying training dataset
  34788. 2022-04-07 14:03:26,290:INFO:Defining folds
  34789. 2022-04-07 14:03:26,290:INFO:Declaring metric variables
  34790. 2022-04-07 14:03:26,295:INFO:Importing untrained model
  34791. 2022-04-07 14:03:26,300:INFO:Extreme Gradient Boosting Imported succesfully
  34792. 2022-04-07 14:03:26,311:INFO:Starting cross validation
  34793. 2022-04-07 14:03:26,312:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  34794. 2022-04-07 14:03:37,439:INFO:Calculating mean and std
  34795. 2022-04-07 14:03:37,439:INFO:Creating metrics dataframe
  34796. 2022-04-07 14:03:37,452:INFO:Finalizing model
  34797. 2022-04-07 14:03:38,454:INFO:Uploading results into container
  34798. 2022-04-07 14:03:38,454:INFO:Uploading model into container now
  34799. 2022-04-07 14:03:38,462:INFO:create_model_container: 1
  34800. 2022-04-07 14:03:38,462:INFO:master_model_container: 1
  34801. 2022-04-07 14:03:38,462:INFO:display_container: 2
  34802. 2022-04-07 14:03:38,464:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34803. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  34804. gamma=0, gpu_id=0, importance_type=None,
  34805. interaction_constraints='', learning_rate=0.300000012,
  34806. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  34807. missing=nan, monotone_constraints='()', n_estimators=100,
  34808. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  34809. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34810. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34811. use_label_encoder=True, validate_parameters=1, ...)
  34812. 2022-04-07 14:03:38,464:INFO:create_model() succesfully completed......................................
  34813. 2022-04-07 14:04:31,818:INFO:Initializing tune_model()
  34814. 2022-04-07 14:04:31,818:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34815. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  34816. gamma=0, gpu_id=0, importance_type=None,
  34817. interaction_constraints='', learning_rate=0.300000012,
  34818. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  34819. missing=nan, monotone_constraints='()', n_estimators=100,
  34820. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  34821. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34822. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34823. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64], 'max_leaves': [1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8], 'learning_rate': [0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  34824. 2022-04-07 14:04:31,818:INFO:Checking exceptions
  34825. 2022-04-07 14:04:31,819:INFO:Preparing display monitor
  34826. 2022-04-07 14:04:31,829:INFO:Copying training dataset
  34827. 2022-04-07 14:04:31,831:INFO:Checking base model
  34828. 2022-04-07 14:04:31,831:INFO:Base model : Extreme Gradient Boosting
  34829. 2022-04-07 14:04:31,836:INFO:Declaring metric variables
  34830. 2022-04-07 14:04:31,841:INFO:Defining Hyperparameters
  34831. 2022-04-07 14:04:31,917:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64], 'actual_estimator__max_leaves': [1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8], 'actual_estimator__learning_rate': [0.005]}
  34832. 2022-04-07 14:04:31,917:INFO:Tuning with n_jobs=1
  34833. 2022-04-07 14:04:31,917:INFO:Initializing RandomizedSearchCV
  34834. 2022-04-07 14:17:53,635:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 128, 'actual_estimator__learning_rate': 0.005, 'actual_estimator__colsample_bytree': 0.8}
  34835. 2022-04-07 14:17:53,635:INFO:Hyperparameter search completed
  34836. 2022-04-07 14:17:53,635:INFO:SubProcess create_model() called ==================================
  34837. 2022-04-07 14:17:53,636:INFO:Initializing create_model()
  34838. 2022-04-07 14:17:53,636:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34839. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  34840. gamma=0, gpu_id=0, importance_type=None,
  34841. interaction_constraints='', learning_rate=0.300000012,
  34842. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  34843. missing=nan, monotone_constraints='()', n_estimators=100,
  34844. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  34845. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34846. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34847. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x000002A24516C640>, kwargs={'max_leaves': 1024, 'max_depth': 128, 'learning_rate': 0.005, 'colsample_bytree': 0.8})
  34848. 2022-04-07 14:17:53,637:INFO:Checking exceptions
  34849. 2022-04-07 14:17:53,637:INFO:Importing libraries
  34850. 2022-04-07 14:17:53,637:INFO:Copying training dataset
  34851. 2022-04-07 14:17:53,638:INFO:Defining folds
  34852. 2022-04-07 14:17:53,638:INFO:Declaring metric variables
  34853. 2022-04-07 14:17:53,645:INFO:Importing untrained model
  34854. 2022-04-07 14:17:53,645:INFO:Declaring custom model
  34855. 2022-04-07 14:17:53,653:INFO:Extreme Gradient Boosting Imported succesfully
  34856. 2022-04-07 14:17:53,667:INFO:Starting cross validation
  34857. 2022-04-07 14:17:53,669:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  34858. 2022-04-07 14:19:37,858:INFO:Calculating mean and std
  34859. 2022-04-07 14:19:37,859:INFO:Creating metrics dataframe
  34860. 2022-04-07 14:19:37,869:INFO:Finalizing model
  34861. 2022-04-07 14:19:48,058:INFO:Uploading results into container
  34862. 2022-04-07 14:19:48,058:INFO:Uploading model into container now
  34863. 2022-04-07 14:19:48,058:INFO:create_model_container: 2
  34864. 2022-04-07 14:19:48,058:INFO:master_model_container: 2
  34865. 2022-04-07 14:19:48,058:INFO:display_container: 3
  34866. 2022-04-07 14:19:48,059:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34867. colsample_bynode=1, colsample_bytree=0.8,
  34868. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  34869. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  34870. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  34871. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  34872. num_parallel_tree=1, objective='binary:logistic',
  34873. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34874. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34875. use_label_encoder=True, validate_parameters=1, ...)
  34876. 2022-04-07 14:19:48,059:INFO:create_model() succesfully completed......................................
  34877. 2022-04-07 14:19:48,126:INFO:SubProcess create_model() end ==================================
  34878. 2022-04-07 14:19:48,133:INFO:create_model_container: 2
  34879. 2022-04-07 14:19:48,134:INFO:master_model_container: 2
  34880. 2022-04-07 14:19:48,134:INFO:display_container: 3
  34881. 2022-04-07 14:19:48,135:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34882. colsample_bynode=1, colsample_bytree=0.8,
  34883. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  34884. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  34885. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  34886. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  34887. num_parallel_tree=1, objective='binary:logistic',
  34888. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34889. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34890. use_label_encoder=True, validate_parameters=1, ...)
  34891. 2022-04-07 14:19:48,135:INFO:tune_model() succesfully completed......................................
  34892. 2022-04-07 14:24:00,141:INFO:Initializing finalize_model()
  34893. 2022-04-07 14:24:00,142:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34894. colsample_bynode=1, colsample_bytree=0.8,
  34895. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  34896. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  34897. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  34898. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  34899. num_parallel_tree=1, objective='binary:logistic',
  34900. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34901. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34902. use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
  34903. 2022-04-07 14:24:00,143:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34904. colsample_bynode=1, colsample_bytree=0.8,
  34905. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  34906. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  34907. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  34908. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  34909. num_parallel_tree=1, objective='binary:logistic',
  34910. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34911. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34912. use_label_encoder=True, validate_parameters=1, ...)
  34913. 2022-04-07 14:24:00,144:INFO:Initializing create_model()
  34914. 2022-04-07 14:24:00,144:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34915. colsample_bynode=1, colsample_bytree=0.8,
  34916. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  34917. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  34918. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  34919. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  34920. num_parallel_tree=1, objective='binary:logistic',
  34921. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34922. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34923. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=False, probability_threshold=None, display=None, kwargs={})
  34924. 2022-04-07 14:24:00,144:INFO:Checking exceptions
  34925. 2022-04-07 14:24:00,144:INFO:Importing libraries
  34926. 2022-04-07 14:24:00,144:INFO:Copying training dataset
  34927. 2022-04-07 14:24:00,145:INFO:Defining folds
  34928. 2022-04-07 14:24:00,145:INFO:Declaring metric variables
  34929. 2022-04-07 14:24:00,145:INFO:Importing untrained model
  34930. 2022-04-07 14:24:00,145:INFO:Declaring custom model
  34931. 2022-04-07 14:24:00,146:INFO:Extreme Gradient Boosting Imported succesfully
  34932. 2022-04-07 14:24:00,147:INFO:Starting cross validation
  34933. 2022-04-07 14:24:00,147:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  34934. 2022-04-07 14:25:51,751:INFO:Calculating mean and std
  34935. 2022-04-07 14:25:51,752:INFO:Creating metrics dataframe
  34936. 2022-04-07 14:25:51,755:INFO:Finalizing model
  34937. 2022-04-07 14:26:04,152:INFO:create_model_container: 2
  34938. 2022-04-07 14:26:04,152:INFO:master_model_container: 2
  34939. 2022-04-07 14:26:04,152:INFO:display_container: 4
  34940. 2022-04-07 14:26:04,153:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34941. colsample_bynode=1, colsample_bytree=0.8,
  34942. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  34943. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  34944. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  34945. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  34946. num_parallel_tree=1, objective='binary:logistic',
  34947. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34948. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34949. use_label_encoder=True, validate_parameters=1, ...)
  34950. 2022-04-07 14:26:04,153:INFO:create_model() succesfully completed......................................
  34951. 2022-04-07 14:26:04,221:INFO:create_model_container: 2
  34952. 2022-04-07 14:26:04,221:INFO:master_model_container: 2
  34953. 2022-04-07 14:26:04,221:INFO:display_container: 3
  34954. 2022-04-07 14:26:04,222:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34955. colsample_bynode=1, colsample_bytree=0.8,
  34956. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  34957. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  34958. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  34959. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  34960. num_parallel_tree=1, objective='binary:logistic',
  34961. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34962. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34963. use_label_encoder=True, validate_parameters=1, ...)
  34964. 2022-04-07 14:26:04,222:INFO:finalize_model() succesfully completed......................................
  34965. 2022-04-07 14:26:04,293:INFO:Initializing save_model()
  34966. 2022-04-07 14:26:04,293:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  34967. colsample_bynode=1, colsample_bytree=0.8,
  34968. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  34969. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  34970. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  34971. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  34972. num_parallel_tree=1, objective='binary:logistic',
  34973. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  34974. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  34975. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_orifeature_0323, prep_pipe_=Pipeline(memory=None,
  34976. steps=[('dtypes',
  34977. DataTypes_Auto_infer(categorical_features=[],
  34978. display_types=True, features_todrop=[],
  34979. id_columns=[],
  34980. ml_usecase='classification',
  34981. numerical_features=[], target='label',
  34982. time_features=[])),
  34983. ('imputer',
  34984. Simple_Imputer(categorical_strategy='not_available',
  34985. fill_value_categorical=None,
  34986. fill_value_numerical=None,
  34987. numeric_strate...
  34988. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  34989. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  34990. ('cluster_all', 'passthrough'),
  34991. ('dummy', Dummify(target='label')),
  34992. ('fix_perfect', Remove_100(target='label')),
  34993. ('clean_names', Clean_Colum_Names()),
  34994. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  34995. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  34996. verbose=False), verbose=True, kwargs={})
  34997. 2022-04-07 14:26:04,293:INFO:Adding model into prep_pipe
  34998. 2022-04-07 14:26:04,508:INFO:tuned_xgboost_orifeature_0323.pkl saved in current working directory
  34999. 2022-04-07 14:26:04,515:INFO:Pipeline(memory=None,
  35000. steps=[('dtypes',
  35001. DataTypes_Auto_infer(categorical_features=[],
  35002. display_types=True, features_todrop=[],
  35003. id_columns=[],
  35004. ml_usecase='classification',
  35005. numerical_features=[], target='label',
  35006. time_features=[])),
  35007. ('imputer',
  35008. Simple_Imputer(categorical_strategy='not_available',
  35009. fill_value_categorical=None,
  35010. fill_value_numerical=None,
  35011. numeric_strate...
  35012. max_delta_step=0, max_depth=128, max_leaves=1024,
  35013. min_child_weight=1, missing=nan,
  35014. monotone_constraints='()', n_estimators=100,
  35015. n_jobs=-1, num_parallel_tree=1,
  35016. objective='binary:logistic', predictor='auto',
  35017. random_state=8519, reg_alpha=0, reg_lambda=1,
  35018. scale_pos_weight=1, subsample=1,
  35019. tree_method='gpu_hist', use_label_encoder=True,
  35020. validate_parameters=1, ...)]],
  35021. verbose=False)
  35022. 2022-04-07 14:26:04,515:INFO:save_model() successfully completed......................................
  35023. 2022-04-07 14:26:23,579:INFO:Initializing finalize_model()
  35024. 2022-04-07 14:26:23,579:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  35025. colsample_bynode=1, colsample_bytree=0.8,
  35026. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  35027. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  35028. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  35029. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  35030. num_parallel_tree=1, objective='binary:logistic',
  35031. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  35032. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  35033. use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
  35034. 2022-04-07 14:26:23,581:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  35035. colsample_bynode=1, colsample_bytree=0.8,
  35036. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  35037. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  35038. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  35039. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  35040. num_parallel_tree=1, objective='binary:logistic',
  35041. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  35042. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  35043. use_label_encoder=True, validate_parameters=1, ...)
  35044. 2022-04-07 14:26:23,582:INFO:Initializing create_model()
  35045. 2022-04-07 14:26:23,582:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  35046. colsample_bynode=1, colsample_bytree=0.8,
  35047. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  35048. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  35049. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  35050. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  35051. num_parallel_tree=1, objective='binary:logistic',
  35052. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  35053. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  35054. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=False, probability_threshold=None, display=None, kwargs={})
  35055. 2022-04-07 14:26:23,582:INFO:Checking exceptions
  35056. 2022-04-07 14:26:23,582:INFO:Importing libraries
  35057. 2022-04-07 14:26:23,582:INFO:Copying training dataset
  35058. 2022-04-07 14:26:23,583:INFO:Defining folds
  35059. 2022-04-07 14:26:23,583:INFO:Declaring metric variables
  35060. 2022-04-07 14:26:23,583:INFO:Importing untrained model
  35061. 2022-04-07 14:26:23,583:INFO:Declaring custom model
  35062. 2022-04-07 14:26:23,585:INFO:Extreme Gradient Boosting Imported succesfully
  35063. 2022-04-07 14:26:23,585:INFO:Starting cross validation
  35064. 2022-04-07 14:26:23,585:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  35065. 2022-04-07 14:28:14,495:INFO:Calculating mean and std
  35066. 2022-04-07 14:28:14,496:INFO:Creating metrics dataframe
  35067. 2022-04-07 14:28:14,499:INFO:Finalizing model
  35068. 2022-04-07 14:28:26,860:INFO:create_model_container: 2
  35069. 2022-04-07 14:28:26,860:INFO:master_model_container: 2
  35070. 2022-04-07 14:28:26,860:INFO:display_container: 4
  35071. 2022-04-07 14:28:26,861:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  35072. colsample_bynode=1, colsample_bytree=0.8,
  35073. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  35074. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  35075. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  35076. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  35077. num_parallel_tree=1, objective='binary:logistic',
  35078. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  35079. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  35080. use_label_encoder=True, validate_parameters=1, ...)
  35081. 2022-04-07 14:28:26,861:INFO:create_model() succesfully completed......................................
  35082. 2022-04-07 14:28:26,926:INFO:create_model_container: 2
  35083. 2022-04-07 14:28:26,926:INFO:master_model_container: 2
  35084. 2022-04-07 14:28:26,926:INFO:display_container: 3
  35085. 2022-04-07 14:28:26,927:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  35086. colsample_bynode=1, colsample_bytree=0.8,
  35087. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  35088. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  35089. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  35090. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  35091. num_parallel_tree=1, objective='binary:logistic',
  35092. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  35093. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  35094. use_label_encoder=True, validate_parameters=1, ...)
  35095. 2022-04-07 14:28:26,928:INFO:finalize_model() succesfully completed......................................
  35096. 2022-04-07 14:28:26,988:INFO:Initializing save_model()
  35097. 2022-04-07 14:28:26,988:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  35098. colsample_bynode=1, colsample_bytree=0.8,
  35099. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  35100. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  35101. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  35102. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  35103. num_parallel_tree=1, objective='binary:logistic',
  35104. predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
  35105. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  35106. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_orifeature_0407, prep_pipe_=Pipeline(memory=None,
  35107. steps=[('dtypes',
  35108. DataTypes_Auto_infer(categorical_features=[],
  35109. display_types=True, features_todrop=[],
  35110. id_columns=[],
  35111. ml_usecase='classification',
  35112. numerical_features=[], target='label',
  35113. time_features=[])),
  35114. ('imputer',
  35115. Simple_Imputer(categorical_strategy='not_available',
  35116. fill_value_categorical=None,
  35117. fill_value_numerical=None,
  35118. numeric_strate...
  35119. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35120. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35121. ('cluster_all', 'passthrough'),
  35122. ('dummy', Dummify(target='label')),
  35123. ('fix_perfect', Remove_100(target='label')),
  35124. ('clean_names', Clean_Colum_Names()),
  35125. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35126. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35127. verbose=False), verbose=True, kwargs={})
  35128. 2022-04-07 14:28:26,988:INFO:Adding model into prep_pipe
  35129. 2022-04-07 14:28:27,195:INFO:tuned_xgboost_orifeature_0407.pkl saved in current working directory
  35130. 2022-04-07 14:28:27,203:INFO:Pipeline(memory=None,
  35131. steps=[('dtypes',
  35132. DataTypes_Auto_infer(categorical_features=[],
  35133. display_types=True, features_todrop=[],
  35134. id_columns=[],
  35135. ml_usecase='classification',
  35136. numerical_features=[], target='label',
  35137. time_features=[])),
  35138. ('imputer',
  35139. Simple_Imputer(categorical_strategy='not_available',
  35140. fill_value_categorical=None,
  35141. fill_value_numerical=None,
  35142. numeric_strate...
  35143. max_delta_step=0, max_depth=128, max_leaves=1024,
  35144. min_child_weight=1, missing=nan,
  35145. monotone_constraints='()', n_estimators=100,
  35146. n_jobs=-1, num_parallel_tree=1,
  35147. objective='binary:logistic', predictor='auto',
  35148. random_state=8519, reg_alpha=0, reg_lambda=1,
  35149. scale_pos_weight=1, subsample=1,
  35150. tree_method='gpu_hist', use_label_encoder=True,
  35151. validate_parameters=1, ...)]],
  35152. verbose=False)
  35153. 2022-04-07 14:28:27,203:INFO:save_model() successfully completed......................................
  35154. 2022-04-07 14:28:54,442:INFO:Initializing load_model()
  35155. 2022-04-07 14:28:54,442:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
  35156. 2022-04-07 14:28:54,587:INFO:Initializing predict_model()
  35157. 2022-04-07 14:28:54,588:INFO:predict_model(estimator=Pipeline(memory=None,
  35158. steps=[('dtypes',
  35159. DataTypes_Auto_infer(categorical_features=[],
  35160. display_types=True, features_todrop=[],
  35161. id_columns=[],
  35162. ml_usecase='classification',
  35163. numerical_features=[], target='label',
  35164. time_features=[])),
  35165. ('imputer',
  35166. Simple_Imputer(categorical_strategy='not_available',
  35167. fill_value_categorical=None,
  35168. fill_value_numerical=None,
  35169. numeric_strate...
  35170. max_delta_step=0, max_depth=128, max_leaves=1024,
  35171. min_child_weight=1, missing=nan,
  35172. monotone_constraints='()', n_estimators=100,
  35173. n_jobs=-1, num_parallel_tree=1,
  35174. objective='binary:logistic', predictor='auto',
  35175. random_state=8519, reg_alpha=0, reg_lambda=1,
  35176. scale_pos_weight=1, subsample=1,
  35177. tree_method='gpu_hist', use_label_encoder=True,
  35178. validate_parameters=1, ...)]],
  35179. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  35180. 2022-04-07 14:28:54,588:INFO:Checking exceptions
  35181. 2022-04-07 14:28:54,588:INFO:Preloading libraries
  35182. 2022-04-07 14:28:54,588:INFO:Preparing display monitor
  35183. 2022-04-07 14:29:10,486:INFO:Initializing load_model()
  35184. 2022-04-07 14:29:10,486:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
  35185. 2022-04-07 14:29:10,626:INFO:Initializing predict_model()
  35186. 2022-04-07 14:29:10,626:INFO:predict_model(estimator=Pipeline(memory=None,
  35187. steps=[('dtypes',
  35188. DataTypes_Auto_infer(categorical_features=[],
  35189. display_types=True, features_todrop=[],
  35190. id_columns=[],
  35191. ml_usecase='classification',
  35192. numerical_features=[], target='label',
  35193. time_features=[])),
  35194. ('imputer',
  35195. Simple_Imputer(categorical_strategy='not_available',
  35196. fill_value_categorical=None,
  35197. fill_value_numerical=None,
  35198. numeric_strate...
  35199. max_delta_step=0, max_depth=128, max_leaves=1024,
  35200. min_child_weight=1, missing=nan,
  35201. monotone_constraints='()', n_estimators=100,
  35202. n_jobs=-1, num_parallel_tree=1,
  35203. objective='binary:logistic', predictor='auto',
  35204. random_state=8519, reg_alpha=0, reg_lambda=1,
  35205. scale_pos_weight=1, subsample=1,
  35206. tree_method='gpu_hist', use_label_encoder=True,
  35207. validate_parameters=1, ...)]],
  35208. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  35209. 2022-04-07 14:29:10,626:INFO:Checking exceptions
  35210. 2022-04-07 14:29:10,626:INFO:Preloading libraries
  35211. 2022-04-07 14:29:10,626:INFO:Preparing display monitor
  35212. 2022-04-07 14:29:21,147:INFO:Initializing load_model()
  35213. 2022-04-07 14:29:21,147:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
  35214. 2022-04-07 14:29:21,286:INFO:Initializing predict_model()
  35215. 2022-04-07 14:29:21,286:INFO:predict_model(estimator=Pipeline(memory=None,
  35216. steps=[('dtypes',
  35217. DataTypes_Auto_infer(categorical_features=[],
  35218. display_types=True, features_todrop=[],
  35219. id_columns=[],
  35220. ml_usecase='classification',
  35221. numerical_features=[], target='label',
  35222. time_features=[])),
  35223. ('imputer',
  35224. Simple_Imputer(categorical_strategy='not_available',
  35225. fill_value_categorical=None,
  35226. fill_value_numerical=None,
  35227. numeric_strate...
  35228. max_delta_step=0, max_depth=128, max_leaves=1024,
  35229. min_child_weight=1, missing=nan,
  35230. monotone_constraints='()', n_estimators=100,
  35231. n_jobs=-1, num_parallel_tree=1,
  35232. objective='binary:logistic', predictor='auto',
  35233. random_state=8519, reg_alpha=0, reg_lambda=1,
  35234. scale_pos_weight=1, subsample=1,
  35235. tree_method='gpu_hist', use_label_encoder=True,
  35236. validate_parameters=1, ...)]],
  35237. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  35238. 2022-04-07 14:29:21,286:INFO:Checking exceptions
  35239. 2022-04-07 14:29:21,286:INFO:Preloading libraries
  35240. 2022-04-07 14:29:21,286:INFO:Preparing display monitor
  35241. 2022-04-07 14:30:08,724:INFO:PyCaret Supervised Module
  35242. 2022-04-07 14:30:08,725:INFO:ML Usecase: classification
  35243. 2022-04-07 14:30:08,725:INFO:version 2.3.9
  35244. 2022-04-07 14:30:08,725:INFO:Initializing setup()
  35245. 2022-04-07 14:30:08,725:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  35246. 2022-04-07 14:30:08,725:INFO:Checking environment
  35247. 2022-04-07 14:30:08,725:INFO:python_version: 3.8.13
  35248. 2022-04-07 14:30:08,726:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  35249. 2022-04-07 14:30:08,726:INFO:machine: x86_64
  35250. 2022-04-07 14:30:08,726:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  35251. 2022-04-07 14:30:08,726:INFO:Memory: svmem(total=33619935232, available=28246278144, percent=16.0, used=4517584896, free=23356289024, active=992149504, inactive=8495071232, buffers=227594240, cached=5518467072, shared=383381504, slab=443883520)
  35252. 2022-04-07 14:30:08,727:INFO:Physical Core: 16
  35253. 2022-04-07 14:30:08,727:INFO:Logical Core: 32
  35254. 2022-04-07 14:30:08,727:INFO:Checking libraries
  35255. 2022-04-07 14:30:08,727:INFO:pd==1.4.2
  35256. 2022-04-07 14:30:08,727:INFO:numpy==1.19.5
  35257. 2022-04-07 14:30:08,727:INFO:sklearn==0.23.2
  35258. 2022-04-07 14:30:08,728:INFO:lightgbm==3.3.2
  35259. 2022-04-07 14:30:08,729:WARNING:catboost not found
  35260. 2022-04-07 14:30:08,729:INFO:xgboost==1.5.2
  35261. 2022-04-07 14:30:08,729:INFO:mlflow==1.24.0
  35262. 2022-04-07 14:30:08,729:INFO:Checking Exceptions
  35263. 2022-04-07 14:30:08,730:INFO:Declaring global variables
  35264. 2022-04-07 14:30:08,730:INFO:USI: a672
  35265. 2022-04-07 14:30:08,730:INFO:pycaret_globals: {'_all_models_internal', 'fold_groups_param_full', 'USI', 'create_model_container', 'fold_shuffle_param', '_available_plots', 'display_container', 'fix_imbalance_method_param', 'transform_target_method_param', '_gpu_n_jobs_param', 'fold_param', 'y_test', 'seed', 'imputation_regressor', 'imputation_classifier', 'X_train', '_ml_usecase', '_internal_pipeline', 'fold_groups_param', 'y_train', 'data_before_preprocess', 'master_model_container', 'prep_pipe', 'transform_target_param', 'target_param', '_all_metrics', 'iterative_imputation_iters_param', 'experiment__', 'logging_param', 'html_param', 'stratify_param', 'X_test', 'dashboard_logger', 'exp_name_log', 'log_plots_param', 'fix_imbalance_param', 'pycaret_globals', 'fold_generator', 'n_jobs_param', 'gpu_param', 'y', '_all_models', 'X'}
  35266. 2022-04-07 14:30:08,730:INFO:Preparing display monitor
  35267. 2022-04-07 14:30:08,730:INFO:Preparing display monitor
  35268. 2022-04-07 14:30:08,737:INFO:Importing libraries
  35269. 2022-04-07 14:30:08,738:INFO:Copying data for preprocessing
  35270. 2022-04-07 14:30:08,744:INFO:Declaring preprocessing parameters
  35271. 2022-04-07 14:30:08,746:INFO:Creating preprocessing pipeline
  35272. 2022-04-07 14:30:08,774:INFO:Preprocessing pipeline created successfully
  35273. 2022-04-07 14:30:08,775:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  35274. 2022-04-07 14:30:08,775:INFO:Creating global containers
  35275. 2022-04-07 14:30:08,775:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  35276. 2022-04-07 14:30:11,867:WARNING:Couldn't import catboost.CatBoostClassifier
  35277. 2022-04-07 14:30:11,914:WARNING:Couldn't import catboost.CatBoostClassifier
  35278. 2022-04-07 14:30:11,915:INFO:Creating grid variables
  35279. 2022-04-07 14:30:11,922:INFO:create_model_container: 0
  35280. 2022-04-07 14:30:11,922:INFO:master_model_container: 0
  35281. 2022-04-07 14:30:11,923:INFO:display_container: 1
  35282. 2022-04-07 14:30:11,925:INFO:Pipeline(memory=None,
  35283. steps=[('dtypes',
  35284. DataTypes_Auto_infer(categorical_features=[],
  35285. display_types=True, features_todrop=[],
  35286. id_columns=[],
  35287. ml_usecase='classification',
  35288. numerical_features=[], target='label',
  35289. time_features=[])),
  35290. ('imputer',
  35291. Simple_Imputer(categorical_strategy='not_available',
  35292. fill_value_categorical=None,
  35293. fill_value_numerical=None,
  35294. numeric_strate...
  35295. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35296. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35297. ('cluster_all', 'passthrough'),
  35298. ('dummy', Dummify(target='label')),
  35299. ('fix_perfect', Remove_100(target='label')),
  35300. ('clean_names', Clean_Colum_Names()),
  35301. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35302. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35303. verbose=False)
  35304. 2022-04-07 14:30:11,925:INFO:setup() succesfully completed......................................
  35305. 2022-04-07 14:30:27,569:INFO:Initializing load_model()
  35306. 2022-04-07 14:30:27,569:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
  35307. 2022-04-07 14:30:31,779:INFO:Initializing predict_model()
  35308. 2022-04-07 14:30:31,779:INFO:predict_model(estimator=Pipeline(memory=None,
  35309. steps=[('dtypes',
  35310. DataTypes_Auto_infer(categorical_features=[],
  35311. display_types=True, features_todrop=[],
  35312. id_columns=[],
  35313. ml_usecase='classification',
  35314. numerical_features=[], target='label',
  35315. time_features=[])),
  35316. ('imputer',
  35317. Simple_Imputer(categorical_strategy='not_available',
  35318. fill_value_categorical=None,
  35319. fill_value_numerical=None,
  35320. numeric_strate...
  35321. max_delta_step=0, max_depth=128, max_leaves=1024,
  35322. min_child_weight=1, missing=nan,
  35323. monotone_constraints='()', n_estimators=100,
  35324. n_jobs=-1, num_parallel_tree=1,
  35325. objective='binary:logistic', predictor='auto',
  35326. random_state=8519, reg_alpha=0, reg_lambda=1,
  35327. scale_pos_weight=1, subsample=1,
  35328. tree_method='gpu_hist', use_label_encoder=True,
  35329. validate_parameters=1, ...)]],
  35330. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35331. 2022-04-07 14:30:31,779:INFO:Checking exceptions
  35332. 2022-04-07 14:30:31,780:INFO:Preloading libraries
  35333. 2022-04-07 14:30:31,780:INFO:Preparing display monitor
  35334. 2022-04-07 14:30:43,539:INFO:Initializing get_config()
  35335. 2022-04-07 14:30:43,539:INFO:get_config(variable=prep_pipe)
  35336. 2022-04-07 14:30:43,542:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  35337. steps=[('dtypes',
  35338. DataTypes_Auto_infer(categorical_features=[],
  35339. display_types=True, features_todrop=[],
  35340. id_columns=[],
  35341. ml_usecase='classification',
  35342. numerical_features=[], target='label',
  35343. time_features=[])),
  35344. ('imputer',
  35345. Simple_Imputer(categorical_strategy='not_available',
  35346. fill_value_categorical=None,
  35347. fill_value_numerical=None,
  35348. numeric_strate...
  35349. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35350. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35351. ('cluster_all', 'passthrough'),
  35352. ('dummy', Dummify(target='label')),
  35353. ('fix_perfect', Remove_100(target='label')),
  35354. ('clean_names', Clean_Colum_Names()),
  35355. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35356. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35357. verbose=False)
  35358. 2022-04-07 14:30:43,542:INFO:get_config() succesfully completed......................................
  35359. 2022-04-07 14:30:43,542:INFO:Initializing get_config()
  35360. 2022-04-07 14:30:43,542:INFO:get_config(variable=data_before_preprocess)
  35361. 2022-04-07 14:30:43,545:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  35362. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35363. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35364. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35365. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35366. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35367. ... ... ... ... ... ... ... ... ... ... ...
  35368. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35369. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35370. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35371. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35372. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35373. minute
  35374. 0 0
  35375. 1 1
  35376. 2 2
  35377. 3 3
  35378. 4 4
  35379. ... ...
  35380. 64795 55
  35381. 64796 56
  35382. 64797 57
  35383. 64798 58
  35384. 64799 59
  35385. [64800 rows x 11 columns]
  35386. 2022-04-07 14:30:43,546:INFO:get_config() succesfully completed......................................
  35387. 2022-04-07 14:30:43,547:INFO:Initializing get_config()
  35388. 2022-04-07 14:30:43,547:INFO:get_config(variable=prep_pipe)
  35389. 2022-04-07 14:30:43,549:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  35390. steps=[('dtypes',
  35391. DataTypes_Auto_infer(categorical_features=[],
  35392. display_types=True, features_todrop=[],
  35393. id_columns=[],
  35394. ml_usecase='classification',
  35395. numerical_features=[], target='label',
  35396. time_features=[])),
  35397. ('imputer',
  35398. Simple_Imputer(categorical_strategy='not_available',
  35399. fill_value_categorical=None,
  35400. fill_value_numerical=None,
  35401. numeric_strate...
  35402. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35403. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35404. ('cluster_all', 'passthrough'),
  35405. ('dummy', Dummify(target='label')),
  35406. ('fix_perfect', Remove_100(target='label')),
  35407. ('clean_names', Clean_Colum_Names()),
  35408. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35409. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35410. verbose=False)
  35411. 2022-04-07 14:30:43,549:INFO:get_config() succesfully completed......................................
  35412. 2022-04-07 14:30:43,550:INFO:Initializing get_config()
  35413. 2022-04-07 14:30:43,550:INFO:get_config(variable=prep_pipe)
  35414. 2022-04-07 14:30:43,552:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  35415. steps=[('dtypes',
  35416. DataTypes_Auto_infer(categorical_features=[],
  35417. display_types=True, features_todrop=[],
  35418. id_columns=[],
  35419. ml_usecase='classification',
  35420. numerical_features=[], target='label',
  35421. time_features=[])),
  35422. ('imputer',
  35423. Simple_Imputer(categorical_strategy='not_available',
  35424. fill_value_categorical=None,
  35425. fill_value_numerical=None,
  35426. numeric_strate...
  35427. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35428. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35429. ('cluster_all', 'passthrough'),
  35430. ('dummy', Dummify(target='label')),
  35431. ('fix_perfect', Remove_100(target='label')),
  35432. ('clean_names', Clean_Colum_Names()),
  35433. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35434. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35435. verbose=False)
  35436. 2022-04-07 14:30:43,552:INFO:get_config() succesfully completed......................................
  35437. 2022-04-07 14:30:43,552:INFO:Initializing get_config()
  35438. 2022-04-07 14:30:43,553:INFO:get_config(variable=prep_pipe)
  35439. 2022-04-07 14:30:43,555:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  35440. steps=[('dtypes',
  35441. DataTypes_Auto_infer(categorical_features=[],
  35442. display_types=True, features_todrop=[],
  35443. id_columns=[],
  35444. ml_usecase='classification',
  35445. numerical_features=[], target='label',
  35446. time_features=[])),
  35447. ('imputer',
  35448. Simple_Imputer(categorical_strategy='not_available',
  35449. fill_value_categorical=None,
  35450. fill_value_numerical=None,
  35451. numeric_strate...
  35452. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35453. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35454. ('cluster_all', 'passthrough'),
  35455. ('dummy', Dummify(target='label')),
  35456. ('fix_perfect', Remove_100(target='label')),
  35457. ('clean_names', Clean_Colum_Names()),
  35458. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35459. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35460. verbose=False)
  35461. 2022-04-07 14:30:43,555:INFO:get_config() succesfully completed......................................
  35462. 2022-04-07 14:30:43,563:INFO:Initializing save_model()
  35463. 2022-04-07 14:30:43,563:INFO:save_model(model=Pipeline(memory=None,
  35464. steps=[('dtypes',
  35465. DataTypes_Auto_infer(categorical_features=[],
  35466. display_types=True, features_todrop=[],
  35467. id_columns=[],
  35468. ml_usecase='classification',
  35469. numerical_features=[], target='label',
  35470. time_features=[])),
  35471. ('imputer',
  35472. Simple_Imputer(categorical_strategy='not_available',
  35473. fill_value_categorical=None,
  35474. fill_value_numerical=None,
  35475. numeric_strate...
  35476. max_delta_step=0, max_depth=128, max_leaves=1024,
  35477. min_child_weight=1, missing=nan,
  35478. monotone_constraints='()', n_estimators=100,
  35479. n_jobs=-1, num_parallel_tree=1,
  35480. objective='binary:logistic', predictor='auto',
  35481. random_state=8519, reg_alpha=0, reg_lambda=1,
  35482. scale_pos_weight=1, subsample=1,
  35483. tree_method='gpu_hist', use_label_encoder=True,
  35484. validate_parameters=1, ...)]],
  35485. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  35486. steps=[('dtypes',
  35487. DataTypes_Auto_infer(categorical_features=[],
  35488. display_types=True, features_todrop=[],
  35489. id_columns=[],
  35490. ml_usecase='classification',
  35491. numerical_features=[], target='label',
  35492. time_features=[])),
  35493. ('imputer',
  35494. Simple_Imputer(categorical_strategy='not_available',
  35495. fill_value_categorical=None,
  35496. fill_value_numerical=None,
  35497. numeric_strate...
  35498. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35499. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35500. ('cluster_all', 'passthrough'),
  35501. ('dummy', Dummify(target='label')),
  35502. ('fix_perfect', Remove_100(target='label')),
  35503. ('clean_names', Clean_Colum_Names()),
  35504. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35505. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35506. verbose=False), verbose=False, kwargs={})
  35507. 2022-04-07 14:30:43,564:INFO:Adding model into prep_pipe
  35508. 2022-04-07 14:30:43,730:WARNING:Only Model saved as it was a pipeline.
  35509. 2022-04-07 14:30:43,819:INFO:my_api.pkl saved in current working directory
  35510. 2022-04-07 14:30:43,825:INFO:Pipeline(memory=None,
  35511. steps=[('dtypes',
  35512. DataTypes_Auto_infer(categorical_features=[],
  35513. display_types=True, features_todrop=[],
  35514. id_columns=[],
  35515. ml_usecase='classification',
  35516. numerical_features=[], target='label',
  35517. time_features=[])),
  35518. ('imputer',
  35519. Simple_Imputer(categorical_strategy='not_available',
  35520. fill_value_categorical=None,
  35521. fill_value_numerical=None,
  35522. numeric_strate...
  35523. max_delta_step=0, max_depth=128, max_leaves=1024,
  35524. min_child_weight=1, missing=nan,
  35525. monotone_constraints='()', n_estimators=100,
  35526. n_jobs=-1, num_parallel_tree=1,
  35527. objective='binary:logistic', predictor='auto',
  35528. random_state=8519, reg_alpha=0, reg_lambda=1,
  35529. scale_pos_weight=1, subsample=1,
  35530. tree_method='gpu_hist', use_label_encoder=True,
  35531. validate_parameters=1, ...)]],
  35532. verbose=False)
  35533. 2022-04-07 14:30:43,825:INFO:save_model() successfully completed......................................
  35534. 2022-04-07 14:31:23,601:INFO:Initializing load_model()
  35535. 2022-04-07 14:31:23,601:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  35536. 2022-04-07 14:32:49,609:INFO:Initializing load_model()
  35537. 2022-04-07 14:32:49,610:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  35538. 2022-04-07 14:32:53,623:INFO:Initializing predict_model()
  35539. 2022-04-07 14:32:53,624:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35540. DataTypes_Auto_infer(ml_usecase='classification',
  35541. target='label')),
  35542. ('imputer',
  35543. Simple_Imputer(categorical_strategy='not_available',
  35544. fill_value_categorical=None,
  35545. fill_value_numerical=None,
  35546. numeric_strategy='mean',
  35547. target_variable=None)),
  35548. ('new_levels1',
  35549. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35550. 'frequent',
  35551. targe...
  35552. gamma=0, gpu_id=0, importance_type=None,
  35553. interaction_constraints='', learning_rate=0.005,
  35554. max_delta_step=0, max_depth=128, max_leaves=1024,
  35555. min_child_weight=1, missing=nan,
  35556. monotone_constraints='()', n_estimators=100,
  35557. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35558. random_state=8519, reg_alpha=0, reg_lambda=1,
  35559. scale_pos_weight=1, subsample=1,
  35560. tree_method='gpu_hist', validate_parameters=1,
  35561. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35562. 2022-04-07 14:32:53,624:INFO:Checking exceptions
  35563. 2022-04-07 14:32:53,624:INFO:Preloading libraries
  35564. 2022-04-07 14:32:53,645:INFO:Initializing predict_model()
  35565. 2022-04-07 14:32:53,645:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35566. DataTypes_Auto_infer(ml_usecase='classification',
  35567. target='label')),
  35568. ('imputer',
  35569. Simple_Imputer(categorical_strategy='not_available',
  35570. fill_value_categorical=None,
  35571. fill_value_numerical=None,
  35572. numeric_strategy='mean',
  35573. target_variable=None)),
  35574. ('new_levels1',
  35575. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35576. 'frequent',
  35577. targe...
  35578. gamma=0, gpu_id=0, importance_type=None,
  35579. interaction_constraints='', learning_rate=0.005,
  35580. max_delta_step=0, max_depth=128, max_leaves=1024,
  35581. min_child_weight=1, missing=nan,
  35582. monotone_constraints='()', n_estimators=100,
  35583. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35584. random_state=8519, reg_alpha=0, reg_lambda=1,
  35585. scale_pos_weight=1, subsample=1,
  35586. tree_method='gpu_hist', validate_parameters=1,
  35587. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35588. 2022-04-07 14:32:53,645:INFO:Checking exceptions
  35589. 2022-04-07 14:32:53,645:INFO:Preloading libraries
  35590. 2022-04-07 14:32:53,666:INFO:Initializing predict_model()
  35591. 2022-04-07 14:32:53,667:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35592. DataTypes_Auto_infer(ml_usecase='classification',
  35593. target='label')),
  35594. ('imputer',
  35595. Simple_Imputer(categorical_strategy='not_available',
  35596. fill_value_categorical=None,
  35597. fill_value_numerical=None,
  35598. numeric_strategy='mean',
  35599. target_variable=None)),
  35600. ('new_levels1',
  35601. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35602. 'frequent',
  35603. targe...
  35604. gamma=0, gpu_id=0, importance_type=None,
  35605. interaction_constraints='', learning_rate=0.005,
  35606. max_delta_step=0, max_depth=128, max_leaves=1024,
  35607. min_child_weight=1, missing=nan,
  35608. monotone_constraints='()', n_estimators=100,
  35609. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35610. random_state=8519, reg_alpha=0, reg_lambda=1,
  35611. scale_pos_weight=1, subsample=1,
  35612. tree_method='gpu_hist', validate_parameters=1,
  35613. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35614. 2022-04-07 14:32:53,667:INFO:Checking exceptions
  35615. 2022-04-07 14:32:53,667:INFO:Preloading libraries
  35616. 2022-04-07 14:32:53,687:INFO:Initializing predict_model()
  35617. 2022-04-07 14:32:53,687:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35618. DataTypes_Auto_infer(ml_usecase='classification',
  35619. target='label')),
  35620. ('imputer',
  35621. Simple_Imputer(categorical_strategy='not_available',
  35622. fill_value_categorical=None,
  35623. fill_value_numerical=None,
  35624. numeric_strategy='mean',
  35625. target_variable=None)),
  35626. ('new_levels1',
  35627. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35628. 'frequent',
  35629. targe...
  35630. gamma=0, gpu_id=0, importance_type=None,
  35631. interaction_constraints='', learning_rate=0.005,
  35632. max_delta_step=0, max_depth=128, max_leaves=1024,
  35633. min_child_weight=1, missing=nan,
  35634. monotone_constraints='()', n_estimators=100,
  35635. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35636. random_state=8519, reg_alpha=0, reg_lambda=1,
  35637. scale_pos_weight=1, subsample=1,
  35638. tree_method='gpu_hist', validate_parameters=1,
  35639. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35640. 2022-04-07 14:32:53,687:INFO:Checking exceptions
  35641. 2022-04-07 14:32:53,688:INFO:Preloading libraries
  35642. 2022-04-07 14:32:53,708:INFO:Initializing predict_model()
  35643. 2022-04-07 14:32:53,708:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35644. DataTypes_Auto_infer(ml_usecase='classification',
  35645. target='label')),
  35646. ('imputer',
  35647. Simple_Imputer(categorical_strategy='not_available',
  35648. fill_value_categorical=None,
  35649. fill_value_numerical=None,
  35650. numeric_strategy='mean',
  35651. target_variable=None)),
  35652. ('new_levels1',
  35653. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35654. 'frequent',
  35655. targe...
  35656. gamma=0, gpu_id=0, importance_type=None,
  35657. interaction_constraints='', learning_rate=0.005,
  35658. max_delta_step=0, max_depth=128, max_leaves=1024,
  35659. min_child_weight=1, missing=nan,
  35660. monotone_constraints='()', n_estimators=100,
  35661. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35662. random_state=8519, reg_alpha=0, reg_lambda=1,
  35663. scale_pos_weight=1, subsample=1,
  35664. tree_method='gpu_hist', validate_parameters=1,
  35665. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35666. 2022-04-07 14:32:53,708:INFO:Checking exceptions
  35667. 2022-04-07 14:32:53,709:INFO:Preloading libraries
  35668. 2022-04-07 14:32:53,730:INFO:Initializing predict_model()
  35669. 2022-04-07 14:32:53,730:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35670. DataTypes_Auto_infer(ml_usecase='classification',
  35671. target='label')),
  35672. ('imputer',
  35673. Simple_Imputer(categorical_strategy='not_available',
  35674. fill_value_categorical=None,
  35675. fill_value_numerical=None,
  35676. numeric_strategy='mean',
  35677. target_variable=None)),
  35678. ('new_levels1',
  35679. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35680. 'frequent',
  35681. targe...
  35682. gamma=0, gpu_id=0, importance_type=None,
  35683. interaction_constraints='', learning_rate=0.005,
  35684. max_delta_step=0, max_depth=128, max_leaves=1024,
  35685. min_child_weight=1, missing=nan,
  35686. monotone_constraints='()', n_estimators=100,
  35687. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35688. random_state=8519, reg_alpha=0, reg_lambda=1,
  35689. scale_pos_weight=1, subsample=1,
  35690. tree_method='gpu_hist', validate_parameters=1,
  35691. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35692. 2022-04-07 14:32:53,731:INFO:Checking exceptions
  35693. 2022-04-07 14:32:53,731:INFO:Preloading libraries
  35694. 2022-04-07 14:32:53,751:INFO:Initializing predict_model()
  35695. 2022-04-07 14:32:53,751:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35696. DataTypes_Auto_infer(ml_usecase='classification',
  35697. target='label')),
  35698. ('imputer',
  35699. Simple_Imputer(categorical_strategy='not_available',
  35700. fill_value_categorical=None,
  35701. fill_value_numerical=None,
  35702. numeric_strategy='mean',
  35703. target_variable=None)),
  35704. ('new_levels1',
  35705. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35706. 'frequent',
  35707. targe...
  35708. gamma=0, gpu_id=0, importance_type=None,
  35709. interaction_constraints='', learning_rate=0.005,
  35710. max_delta_step=0, max_depth=128, max_leaves=1024,
  35711. min_child_weight=1, missing=nan,
  35712. monotone_constraints='()', n_estimators=100,
  35713. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35714. random_state=8519, reg_alpha=0, reg_lambda=1,
  35715. scale_pos_weight=1, subsample=1,
  35716. tree_method='gpu_hist', validate_parameters=1,
  35717. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35718. 2022-04-07 14:32:53,751:INFO:Checking exceptions
  35719. 2022-04-07 14:32:53,752:INFO:Preloading libraries
  35720. 2022-04-07 14:32:53,773:INFO:Initializing predict_model()
  35721. 2022-04-07 14:32:53,773:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35722. DataTypes_Auto_infer(ml_usecase='classification',
  35723. target='label')),
  35724. ('imputer',
  35725. Simple_Imputer(categorical_strategy='not_available',
  35726. fill_value_categorical=None,
  35727. fill_value_numerical=None,
  35728. numeric_strategy='mean',
  35729. target_variable=None)),
  35730. ('new_levels1',
  35731. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35732. 'frequent',
  35733. targe...
  35734. gamma=0, gpu_id=0, importance_type=None,
  35735. interaction_constraints='', learning_rate=0.005,
  35736. max_delta_step=0, max_depth=128, max_leaves=1024,
  35737. min_child_weight=1, missing=nan,
  35738. monotone_constraints='()', n_estimators=100,
  35739. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35740. random_state=8519, reg_alpha=0, reg_lambda=1,
  35741. scale_pos_weight=1, subsample=1,
  35742. tree_method='gpu_hist', validate_parameters=1,
  35743. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35744. 2022-04-07 14:32:53,773:INFO:Checking exceptions
  35745. 2022-04-07 14:32:53,773:INFO:Preloading libraries
  35746. 2022-04-07 14:32:53,794:INFO:Initializing predict_model()
  35747. 2022-04-07 14:32:53,795:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35748. DataTypes_Auto_infer(ml_usecase='classification',
  35749. target='label')),
  35750. ('imputer',
  35751. Simple_Imputer(categorical_strategy='not_available',
  35752. fill_value_categorical=None,
  35753. fill_value_numerical=None,
  35754. numeric_strategy='mean',
  35755. target_variable=None)),
  35756. ('new_levels1',
  35757. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35758. 'frequent',
  35759. targe...
  35760. gamma=0, gpu_id=0, importance_type=None,
  35761. interaction_constraints='', learning_rate=0.005,
  35762. max_delta_step=0, max_depth=128, max_leaves=1024,
  35763. min_child_weight=1, missing=nan,
  35764. monotone_constraints='()', n_estimators=100,
  35765. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35766. random_state=8519, reg_alpha=0, reg_lambda=1,
  35767. scale_pos_weight=1, subsample=1,
  35768. tree_method='gpu_hist', validate_parameters=1,
  35769. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35770. 2022-04-07 14:32:53,795:INFO:Checking exceptions
  35771. 2022-04-07 14:32:53,795:INFO:Preloading libraries
  35772. 2022-04-07 14:32:53,815:INFO:Initializing predict_model()
  35773. 2022-04-07 14:32:53,816:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  35774. DataTypes_Auto_infer(ml_usecase='classification',
  35775. target='label')),
  35776. ('imputer',
  35777. Simple_Imputer(categorical_strategy='not_available',
  35778. fill_value_categorical=None,
  35779. fill_value_numerical=None,
  35780. numeric_strategy='mean',
  35781. target_variable=None)),
  35782. ('new_levels1',
  35783. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  35784. 'frequent',
  35785. targe...
  35786. gamma=0, gpu_id=0, importance_type=None,
  35787. interaction_constraints='', learning_rate=0.005,
  35788. max_delta_step=0, max_depth=128, max_leaves=1024,
  35789. min_child_weight=1, missing=nan,
  35790. monotone_constraints='()', n_estimators=100,
  35791. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  35792. random_state=8519, reg_alpha=0, reg_lambda=1,
  35793. scale_pos_weight=1, subsample=1,
  35794. tree_method='gpu_hist', validate_parameters=1,
  35795. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  35796. 2022-04-07 14:32:53,816:INFO:Checking exceptions
  35797. 2022-04-07 14:32:53,816:INFO:Preloading libraries
  35798. 2022-04-07 14:34:26,671:INFO:Initializing load_model()
  35799. 2022-04-07 14:34:26,671:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  35800. 2022-04-07 14:35:10,944:INFO:Initializing load_model()
  35801. 2022-04-07 14:35:10,944:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
  35802. 2022-04-07 14:35:22,456:INFO:PyCaret Supervised Module
  35803. 2022-04-07 14:35:22,456:INFO:ML Usecase: classification
  35804. 2022-04-07 14:35:22,456:INFO:version 2.3.6
  35805. 2022-04-07 14:35:22,456:INFO:Initializing setup()
  35806. 2022-04-07 14:35:22,456:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  35807. 2022-04-07 14:35:22,456:INFO:Checking environment
  35808. 2022-04-07 14:35:22,456:INFO:python_version: 3.8.12
  35809. 2022-04-07 14:35:22,456:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  35810. 2022-04-07 14:35:22,456:INFO:machine: AMD64
  35811. 2022-04-07 14:35:22,456:INFO:platform: Windows-10-10.0.22000-SP0
  35812. 2022-04-07 14:35:22,456:INFO:Memory: svmem(total=68629368832, available=44080541696, percent=35.8, used=24548827136, free=44080541696)
  35813. 2022-04-07 14:35:22,456:INFO:Physical Core: 16
  35814. 2022-04-07 14:35:22,456:INFO:Logical Core: 32
  35815. 2022-04-07 14:35:22,456:INFO:Checking libraries
  35816. 2022-04-07 14:35:22,456:INFO:pd==1.3.5
  35817. 2022-04-07 14:35:22,456:INFO:numpy==1.21.5
  35818. 2022-04-07 14:35:22,456:INFO:sklearn==0.23.2
  35819. 2022-04-07 14:35:22,457:INFO:lightgbm==3.3.2
  35820. 2022-04-07 14:35:22,468:INFO:catboost==1.0.4
  35821. 2022-04-07 14:35:22,468:INFO:xgboost==1.5.2
  35822. 2022-04-07 14:35:22,759:INFO:mlflow==1.23.1
  35823. 2022-04-07 14:35:22,759:INFO:Checking Exceptions
  35824. 2022-04-07 14:35:22,759:INFO:Declaring global variables
  35825. 2022-04-07 14:35:22,759:INFO:USI: 00a0
  35826. 2022-04-07 14:35:22,759:INFO:pycaret_globals: {'create_model_container', '_available_plots', '_ml_usecase', 'X', 'target_param', '_gpu_n_jobs_param', 'imputation_classifier', 'fold_param', 'log_plots_param', 'seed', 'display_container', 'fold_shuffle_param', 'y_test', 'prep_pipe', 'n_jobs_param', 'transform_target_param', 'experiment__', 'data_before_preprocess', 'y_train', 'USI', 'html_param', 'iterative_imputation_iters_param', 'transform_target_method_param', 'fix_imbalance_param', 'pycaret_globals', 'fold_groups_param', 'gpu_param', '_all_models_internal', '_internal_pipeline', 'stratify_param', 'fold_generator', 'X_train', 'imputation_regressor', 'exp_name_log', 'logging_param', 'fold_groups_param_full', '_all_metrics', 'y', 'master_model_container', 'X_test', 'fix_imbalance_method_param', '_all_models'}
  35827. 2022-04-07 14:35:22,759:INFO:Preparing display monitor
  35828. 2022-04-07 14:35:22,759:INFO:Preparing display monitor
  35829. 2022-04-07 14:35:22,770:INFO:Importing libraries
  35830. 2022-04-07 14:35:22,770:INFO:Copying data for preprocessing
  35831. 2022-04-07 14:35:22,776:INFO:Declaring preprocessing parameters
  35832. 2022-04-07 14:35:22,780:INFO:Creating preprocessing pipeline
  35833. 2022-04-07 14:35:22,826:INFO:Preprocessing pipeline created successfully
  35834. 2022-04-07 14:35:22,826:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  35835. 2022-04-07 14:35:22,826:INFO:Creating global containers
  35836. 2022-04-07 14:35:22,827:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  35837. 2022-04-07 14:35:24,739:INFO:Creating grid variables
  35838. 2022-04-07 14:35:24,748:INFO:create_model_container: 0
  35839. 2022-04-07 14:35:24,748:INFO:master_model_container: 0
  35840. 2022-04-07 14:35:24,748:INFO:display_container: 1
  35841. 2022-04-07 14:35:24,752:INFO:Pipeline(memory=None,
  35842. steps=[('dtypes',
  35843. DataTypes_Auto_infer(categorical_features=[],
  35844. display_types=True, features_todrop=[],
  35845. id_columns=[],
  35846. ml_usecase='classification',
  35847. numerical_features=[], target='label',
  35848. time_features=[])),
  35849. ('imputer',
  35850. Simple_Imputer(categorical_strategy='not_available',
  35851. fill_value_categorical=None,
  35852. fill_value_numerical=None,
  35853. numeric_strate...
  35854. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35855. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35856. ('cluster_all', 'passthrough'),
  35857. ('dummy', Dummify(target='label')),
  35858. ('fix_perfect', Remove_100(target='label')),
  35859. ('clean_names', Clean_Colum_Names()),
  35860. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35861. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35862. verbose=False)
  35863. 2022-04-07 14:35:24,752:INFO:setup() succesfully completed......................................
  35864. 2022-04-07 14:35:31,698:INFO:Initializing load_model()
  35865. 2022-04-07 14:35:31,698:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
  35866. 2022-04-07 14:35:43,366:INFO:Initializing predict_model()
  35867. 2022-04-07 14:35:43,366:INFO:predict_model(estimator=Pipeline(memory=None,
  35868. steps=[('dtypes',
  35869. DataTypes_Auto_infer(categorical_features=[],
  35870. display_types=True, features_todrop=[],
  35871. id_columns=[],
  35872. ml_usecase='classification',
  35873. numerical_features=[], target='label',
  35874. time_features=[])),
  35875. ('imputer',
  35876. Simple_Imputer(categorical_strategy='not_available',
  35877. fill_value_categorical=None,
  35878. fill_value_numerical=None,
  35879. numeric_strate...
  35880. max_delta_step=0, max_depth=128, max_leaves=1024,
  35881. min_child_weight=1, missing=nan,
  35882. monotone_constraints='()', n_estimators=100,
  35883. n_jobs=-1, num_parallel_tree=1,
  35884. objective='binary:logistic', predictor='auto',
  35885. random_state=8519, reg_alpha=0, reg_lambda=1,
  35886. scale_pos_weight=1, subsample=1,
  35887. tree_method='gpu_hist', use_label_encoder=True,
  35888. validate_parameters=1, ...)]],
  35889. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  35890. 2022-04-07 14:35:43,366:INFO:Checking exceptions
  35891. 2022-04-07 14:35:43,366:INFO:Preloading libraries
  35892. 2022-04-07 14:35:43,366:INFO:Preparing display monitor
  35893. 2022-04-07 14:35:47,135:INFO:Initializing get_config()
  35894. 2022-04-07 14:35:47,135:INFO:get_config(variable=prep_pipe)
  35895. 2022-04-07 14:35:47,138:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  35896. steps=[('dtypes',
  35897. DataTypes_Auto_infer(categorical_features=[],
  35898. display_types=True, features_todrop=[],
  35899. id_columns=[],
  35900. ml_usecase='classification',
  35901. numerical_features=[], target='label',
  35902. time_features=[])),
  35903. ('imputer',
  35904. Simple_Imputer(categorical_strategy='not_available',
  35905. fill_value_categorical=None,
  35906. fill_value_numerical=None,
  35907. numeric_strate...
  35908. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35909. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35910. ('cluster_all', 'passthrough'),
  35911. ('dummy', Dummify(target='label')),
  35912. ('fix_perfect', Remove_100(target='label')),
  35913. ('clean_names', Clean_Colum_Names()),
  35914. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35915. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35916. verbose=False)
  35917. 2022-04-07 14:35:47,138:INFO:get_config() succesfully completed......................................
  35918. 2022-04-07 14:35:47,138:INFO:Initializing get_config()
  35919. 2022-04-07 14:35:47,138:INFO:get_config(variable=data_before_preprocess)
  35920. 2022-04-07 14:35:47,142:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  35921. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35922. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35923. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35924. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35925. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  35926. ... ... ... ... ... ... ... ... ... ... ...
  35927. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35928. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35929. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35930. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35931. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  35932. minute
  35933. 0 0
  35934. 1 1
  35935. 2 2
  35936. 3 3
  35937. 4 4
  35938. ... ...
  35939. 64795 55
  35940. 64796 56
  35941. 64797 57
  35942. 64798 58
  35943. 64799 59
  35944. [64800 rows x 11 columns]
  35945. 2022-04-07 14:35:47,142:INFO:get_config() succesfully completed......................................
  35946. 2022-04-07 14:35:47,144:INFO:Initializing get_config()
  35947. 2022-04-07 14:35:47,144:INFO:get_config(variable=prep_pipe)
  35948. 2022-04-07 14:35:47,147:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  35949. steps=[('dtypes',
  35950. DataTypes_Auto_infer(categorical_features=[],
  35951. display_types=True, features_todrop=[],
  35952. id_columns=[],
  35953. ml_usecase='classification',
  35954. numerical_features=[], target='label',
  35955. time_features=[])),
  35956. ('imputer',
  35957. Simple_Imputer(categorical_strategy='not_available',
  35958. fill_value_categorical=None,
  35959. fill_value_numerical=None,
  35960. numeric_strate...
  35961. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  35962. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  35963. ('cluster_all', 'passthrough'),
  35964. ('dummy', Dummify(target='label')),
  35965. ('fix_perfect', Remove_100(target='label')),
  35966. ('clean_names', Clean_Colum_Names()),
  35967. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  35968. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  35969. verbose=False)
  35970. 2022-04-07 14:35:47,147:INFO:get_config() succesfully completed......................................
  35971. 2022-04-07 14:35:47,157:INFO:Initializing save_model()
  35972. 2022-04-07 14:35:47,157:INFO:save_model(model=Pipeline(memory=None,
  35973. steps=[('dtypes',
  35974. DataTypes_Auto_infer(categorical_features=[],
  35975. display_types=True, features_todrop=[],
  35976. id_columns=[],
  35977. ml_usecase='classification',
  35978. numerical_features=[], target='label',
  35979. time_features=[])),
  35980. ('imputer',
  35981. Simple_Imputer(categorical_strategy='not_available',
  35982. fill_value_categorical=None,
  35983. fill_value_numerical=None,
  35984. numeric_strate...
  35985. max_delta_step=0, max_depth=128, max_leaves=1024,
  35986. min_child_weight=1, missing=nan,
  35987. monotone_constraints='()', n_estimators=100,
  35988. n_jobs=-1, num_parallel_tree=1,
  35989. objective='binary:logistic', predictor='auto',
  35990. random_state=8519, reg_alpha=0, reg_lambda=1,
  35991. scale_pos_weight=1, subsample=1,
  35992. tree_method='gpu_hist', use_label_encoder=True,
  35993. validate_parameters=1, ...)]],
  35994. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  35995. steps=[('dtypes',
  35996. DataTypes_Auto_infer(categorical_features=[],
  35997. display_types=True, features_todrop=[],
  35998. id_columns=[],
  35999. ml_usecase='classification',
  36000. numerical_features=[], target='label',
  36001. time_features=[])),
  36002. ('imputer',
  36003. Simple_Imputer(categorical_strategy='not_available',
  36004. fill_value_categorical=None,
  36005. fill_value_numerical=None,
  36006. numeric_strate...
  36007. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  36008. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  36009. ('cluster_all', 'passthrough'),
  36010. ('dummy', Dummify(target='label')),
  36011. ('fix_perfect', Remove_100(target='label')),
  36012. ('clean_names', Clean_Colum_Names()),
  36013. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  36014. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  36015. verbose=False), verbose=False, kwargs={})
  36016. 2022-04-07 14:35:47,157:INFO:Adding model into prep_pipe
  36017. 2022-04-07 14:35:47,500:WARNING:Only Model saved as it was a pipeline.
  36018. 2022-04-07 14:35:47,724:INFO:my_api.pkl saved in current working directory
  36019. 2022-04-07 14:35:47,731:INFO:Pipeline(memory=None,
  36020. steps=[('dtypes',
  36021. DataTypes_Auto_infer(categorical_features=[],
  36022. display_types=True, features_todrop=[],
  36023. id_columns=[],
  36024. ml_usecase='classification',
  36025. numerical_features=[], target='label',
  36026. time_features=[])),
  36027. ('imputer',
  36028. Simple_Imputer(categorical_strategy='not_available',
  36029. fill_value_categorical=None,
  36030. fill_value_numerical=None,
  36031. numeric_strate...
  36032. max_delta_step=0, max_depth=128, max_leaves=1024,
  36033. min_child_weight=1, missing=nan,
  36034. monotone_constraints='()', n_estimators=100,
  36035. n_jobs=-1, num_parallel_tree=1,
  36036. objective='binary:logistic', predictor='auto',
  36037. random_state=8519, reg_alpha=0, reg_lambda=1,
  36038. scale_pos_weight=1, subsample=1,
  36039. tree_method='gpu_hist', use_label_encoder=True,
  36040. validate_parameters=1, ...)]],
  36041. verbose=False)
  36042. 2022-04-07 14:35:47,731:INFO:save_model() successfully completed......................................
  36043. 2022-04-07 14:36:39,067:INFO:Initializing load_model()
  36044. 2022-04-07 14:36:39,067:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  36045. 2022-04-07 14:37:50,464:INFO:Initializing load_model()
  36046. 2022-04-07 14:37:50,464:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  36047. 2022-04-07 14:38:14,986:INFO:Initializing load_model()
  36048. 2022-04-07 14:38:14,986:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  36049. 2022-04-07 14:39:01,927:INFO:Initializing load_model()
  36050. 2022-04-07 14:39:01,927:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  36051. 2022-04-07 14:39:26,935:INFO:Initializing load_model()
  36052. 2022-04-07 14:39:26,935:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  36053. 2022-04-07 14:55:56,280:INFO:PyCaret Supervised Module
  36054. 2022-04-07 14:55:56,281:INFO:ML Usecase: classification
  36055. 2022-04-07 14:55:56,281:INFO:version 2.3.9
  36056. 2022-04-07 14:55:56,281:INFO:Initializing setup()
  36057. 2022-04-07 14:55:56,281:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  36058. 2022-04-07 14:55:56,281:INFO:Checking environment
  36059. 2022-04-07 14:55:56,281:INFO:python_version: 3.8.13
  36060. 2022-04-07 14:55:56,282:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  36061. 2022-04-07 14:55:56,282:INFO:machine: x86_64
  36062. 2022-04-07 14:55:56,282:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  36063. 2022-04-07 14:55:56,282:INFO:Memory: svmem(total=33619935232, available=28700110848, percent=14.6, used=4063752192, free=23120572416, active=1256591360, inactive=8034103296, buffers=441290752, cached=5994319872, shared=383381504, slab=868876288)
  36064. 2022-04-07 14:55:56,283:INFO:Physical Core: 16
  36065. 2022-04-07 14:55:56,283:INFO:Logical Core: 32
  36066. 2022-04-07 14:55:56,283:INFO:Checking libraries
  36067. 2022-04-07 14:55:56,283:INFO:pd==1.4.2
  36068. 2022-04-07 14:55:56,284:INFO:numpy==1.19.5
  36069. 2022-04-07 14:55:56,284:INFO:sklearn==0.23.2
  36070. 2022-04-07 14:55:56,284:INFO:lightgbm==3.3.2
  36071. 2022-04-07 14:55:56,285:WARNING:catboost not found
  36072. 2022-04-07 14:55:56,308:INFO:xgboost==1.5.2
  36073. 2022-04-07 14:55:56,308:INFO:mlflow==1.24.0
  36074. 2022-04-07 14:55:56,308:INFO:Checking Exceptions
  36075. 2022-04-07 14:55:56,309:INFO:Declaring global variables
  36076. 2022-04-07 14:55:56,309:INFO:USI: f6df
  36077. 2022-04-07 14:55:56,309:INFO:pycaret_globals: {'_internal_pipeline', 'imputation_regressor', 'stratify_param', 'master_model_container', 'fold_shuffle_param', 'n_jobs_param', 'gpu_param', 'html_param', 'display_container', 'transform_target_method_param', 'prep_pipe', '_all_models_internal', 'fix_imbalance_method_param', 'exp_name_log', 'y', 'iterative_imputation_iters_param', 'fold_generator', '_all_metrics', 'fold_param', 'USI', 'X', 'data_before_preprocess', 'y_test', '_gpu_n_jobs_param', 'create_model_container', 'pycaret_globals', 'fix_imbalance_param', 'transform_target_param', '_all_models', '_ml_usecase', 'seed', '_available_plots', 'imputation_classifier', 'y_train', 'fold_groups_param', 'logging_param', 'target_param', 'X_test', 'fold_groups_param_full', 'X_train', 'experiment__', 'log_plots_param', 'dashboard_logger'}
  36078. 2022-04-07 14:55:56,309:INFO:Preparing display monitor
  36079. 2022-04-07 14:55:56,309:INFO:Preparing display monitor
  36080. 2022-04-07 14:55:56,317:INFO:Importing libraries
  36081. 2022-04-07 14:55:56,317:INFO:Copying data for preprocessing
  36082. 2022-04-07 14:55:56,322:INFO:Declaring preprocessing parameters
  36083. 2022-04-07 14:55:56,326:INFO:Creating preprocessing pipeline
  36084. 2022-04-07 14:55:56,355:INFO:Preprocessing pipeline created successfully
  36085. 2022-04-07 14:55:56,355:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  36086. 2022-04-07 14:55:56,356:INFO:Creating global containers
  36087. 2022-04-07 14:55:56,356:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  36088. 2022-04-07 14:55:58,311:WARNING:Couldn't import catboost.CatBoostClassifier
  36089. 2022-04-07 14:55:58,358:WARNING:Couldn't import catboost.CatBoostClassifier
  36090. 2022-04-07 14:55:58,359:INFO:Creating grid variables
  36091. 2022-04-07 14:55:58,365:INFO:create_model_container: 0
  36092. 2022-04-07 14:55:58,366:INFO:master_model_container: 0
  36093. 2022-04-07 14:55:58,366:INFO:display_container: 1
  36094. 2022-04-07 14:55:58,368:INFO:Pipeline(memory=None,
  36095. steps=[('dtypes',
  36096. DataTypes_Auto_infer(categorical_features=[],
  36097. display_types=True, features_todrop=[],
  36098. id_columns=[],
  36099. ml_usecase='classification',
  36100. numerical_features=[], target='label',
  36101. time_features=[])),
  36102. ('imputer',
  36103. Simple_Imputer(categorical_strategy='not_available',
  36104. fill_value_categorical=None,
  36105. fill_value_numerical=None,
  36106. numeric_strate...
  36107. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  36108. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  36109. ('cluster_all', 'passthrough'),
  36110. ('dummy', Dummify(target='label')),
  36111. ('fix_perfect', Remove_100(target='label')),
  36112. ('clean_names', Clean_Colum_Names()),
  36113. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  36114. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  36115. verbose=False)
  36116. 2022-04-07 14:55:58,368:INFO:setup() succesfully completed......................................
  36117. 2022-04-07 14:56:06,557:INFO:Initializing load_model()
  36118. 2022-04-07 14:56:06,558:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  36119. 2022-04-07 14:57:12,894:INFO:Initializing load_model()
  36120. 2022-04-07 14:57:12,894:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  36121. 2022-04-07 14:57:18,066:INFO:Initializing predict_model()
  36122. 2022-04-07 14:57:18,066:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36123. DataTypes_Auto_infer(ml_usecase='classification',
  36124. target='label')),
  36125. ('imputer',
  36126. Simple_Imputer(categorical_strategy='not_available',
  36127. fill_value_categorical=None,
  36128. fill_value_numerical=None,
  36129. numeric_strategy='mean',
  36130. target_variable=None)),
  36131. ('new_levels1',
  36132. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36133. 'frequent',
  36134. targe...
  36135. gamma=0, gpu_id=0, importance_type=None,
  36136. interaction_constraints='', learning_rate=0.005,
  36137. max_delta_step=0, max_depth=128, max_leaves=1024,
  36138. min_child_weight=1, missing=nan,
  36139. monotone_constraints='()', n_estimators=100,
  36140. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36141. random_state=8519, reg_alpha=0, reg_lambda=1,
  36142. scale_pos_weight=1, subsample=1,
  36143. tree_method='gpu_hist', validate_parameters=1,
  36144. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36145. 2022-04-07 14:57:18,066:INFO:Checking exceptions
  36146. 2022-04-07 14:57:18,067:INFO:Preloading libraries
  36147. 2022-04-07 14:57:18,087:INFO:Initializing predict_model()
  36148. 2022-04-07 14:57:18,087:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36149. DataTypes_Auto_infer(ml_usecase='classification',
  36150. target='label')),
  36151. ('imputer',
  36152. Simple_Imputer(categorical_strategy='not_available',
  36153. fill_value_categorical=None,
  36154. fill_value_numerical=None,
  36155. numeric_strategy='mean',
  36156. target_variable=None)),
  36157. ('new_levels1',
  36158. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36159. 'frequent',
  36160. targe...
  36161. gamma=0, gpu_id=0, importance_type=None,
  36162. interaction_constraints='', learning_rate=0.005,
  36163. max_delta_step=0, max_depth=128, max_leaves=1024,
  36164. min_child_weight=1, missing=nan,
  36165. monotone_constraints='()', n_estimators=100,
  36166. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36167. random_state=8519, reg_alpha=0, reg_lambda=1,
  36168. scale_pos_weight=1, subsample=1,
  36169. tree_method='gpu_hist', validate_parameters=1,
  36170. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36171. 2022-04-07 14:57:18,087:INFO:Checking exceptions
  36172. 2022-04-07 14:57:18,087:INFO:Preloading libraries
  36173. 2022-04-07 14:57:18,107:INFO:Initializing predict_model()
  36174. 2022-04-07 14:57:18,108:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36175. DataTypes_Auto_infer(ml_usecase='classification',
  36176. target='label')),
  36177. ('imputer',
  36178. Simple_Imputer(categorical_strategy='not_available',
  36179. fill_value_categorical=None,
  36180. fill_value_numerical=None,
  36181. numeric_strategy='mean',
  36182. target_variable=None)),
  36183. ('new_levels1',
  36184. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36185. 'frequent',
  36186. targe...
  36187. gamma=0, gpu_id=0, importance_type=None,
  36188. interaction_constraints='', learning_rate=0.005,
  36189. max_delta_step=0, max_depth=128, max_leaves=1024,
  36190. min_child_weight=1, missing=nan,
  36191. monotone_constraints='()', n_estimators=100,
  36192. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36193. random_state=8519, reg_alpha=0, reg_lambda=1,
  36194. scale_pos_weight=1, subsample=1,
  36195. tree_method='gpu_hist', validate_parameters=1,
  36196. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36197. 2022-04-07 14:57:18,108:INFO:Checking exceptions
  36198. 2022-04-07 14:57:18,108:INFO:Preloading libraries
  36199. 2022-04-07 14:57:18,129:INFO:Initializing predict_model()
  36200. 2022-04-07 14:57:18,129:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36201. DataTypes_Auto_infer(ml_usecase='classification',
  36202. target='label')),
  36203. ('imputer',
  36204. Simple_Imputer(categorical_strategy='not_available',
  36205. fill_value_categorical=None,
  36206. fill_value_numerical=None,
  36207. numeric_strategy='mean',
  36208. target_variable=None)),
  36209. ('new_levels1',
  36210. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36211. 'frequent',
  36212. targe...
  36213. gamma=0, gpu_id=0, importance_type=None,
  36214. interaction_constraints='', learning_rate=0.005,
  36215. max_delta_step=0, max_depth=128, max_leaves=1024,
  36216. min_child_weight=1, missing=nan,
  36217. monotone_constraints='()', n_estimators=100,
  36218. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36219. random_state=8519, reg_alpha=0, reg_lambda=1,
  36220. scale_pos_weight=1, subsample=1,
  36221. tree_method='gpu_hist', validate_parameters=1,
  36222. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36223. 2022-04-07 14:57:18,130:INFO:Checking exceptions
  36224. 2022-04-07 14:57:18,130:INFO:Preloading libraries
  36225. 2022-04-07 14:57:18,151:INFO:Initializing predict_model()
  36226. 2022-04-07 14:57:18,151:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36227. DataTypes_Auto_infer(ml_usecase='classification',
  36228. target='label')),
  36229. ('imputer',
  36230. Simple_Imputer(categorical_strategy='not_available',
  36231. fill_value_categorical=None,
  36232. fill_value_numerical=None,
  36233. numeric_strategy='mean',
  36234. target_variable=None)),
  36235. ('new_levels1',
  36236. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36237. 'frequent',
  36238. targe...
  36239. gamma=0, gpu_id=0, importance_type=None,
  36240. interaction_constraints='', learning_rate=0.005,
  36241. max_delta_step=0, max_depth=128, max_leaves=1024,
  36242. min_child_weight=1, missing=nan,
  36243. monotone_constraints='()', n_estimators=100,
  36244. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36245. random_state=8519, reg_alpha=0, reg_lambda=1,
  36246. scale_pos_weight=1, subsample=1,
  36247. tree_method='gpu_hist', validate_parameters=1,
  36248. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36249. 2022-04-07 14:57:18,151:INFO:Checking exceptions
  36250. 2022-04-07 14:57:18,152:INFO:Preloading libraries
  36251. 2022-04-07 14:57:18,174:INFO:Initializing predict_model()
  36252. 2022-04-07 14:57:18,174:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36253. DataTypes_Auto_infer(ml_usecase='classification',
  36254. target='label')),
  36255. ('imputer',
  36256. Simple_Imputer(categorical_strategy='not_available',
  36257. fill_value_categorical=None,
  36258. fill_value_numerical=None,
  36259. numeric_strategy='mean',
  36260. target_variable=None)),
  36261. ('new_levels1',
  36262. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36263. 'frequent',
  36264. targe...
  36265. gamma=0, gpu_id=0, importance_type=None,
  36266. interaction_constraints='', learning_rate=0.005,
  36267. max_delta_step=0, max_depth=128, max_leaves=1024,
  36268. min_child_weight=1, missing=nan,
  36269. monotone_constraints='()', n_estimators=100,
  36270. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36271. random_state=8519, reg_alpha=0, reg_lambda=1,
  36272. scale_pos_weight=1, subsample=1,
  36273. tree_method='gpu_hist', validate_parameters=1,
  36274. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36275. 2022-04-07 14:57:18,174:INFO:Checking exceptions
  36276. 2022-04-07 14:57:18,174:INFO:Preloading libraries
  36277. 2022-04-07 14:57:18,194:INFO:Initializing predict_model()
  36278. 2022-04-07 14:57:18,194:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36279. DataTypes_Auto_infer(ml_usecase='classification',
  36280. target='label')),
  36281. ('imputer',
  36282. Simple_Imputer(categorical_strategy='not_available',
  36283. fill_value_categorical=None,
  36284. fill_value_numerical=None,
  36285. numeric_strategy='mean',
  36286. target_variable=None)),
  36287. ('new_levels1',
  36288. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36289. 'frequent',
  36290. targe...
  36291. gamma=0, gpu_id=0, importance_type=None,
  36292. interaction_constraints='', learning_rate=0.005,
  36293. max_delta_step=0, max_depth=128, max_leaves=1024,
  36294. min_child_weight=1, missing=nan,
  36295. monotone_constraints='()', n_estimators=100,
  36296. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36297. random_state=8519, reg_alpha=0, reg_lambda=1,
  36298. scale_pos_weight=1, subsample=1,
  36299. tree_method='gpu_hist', validate_parameters=1,
  36300. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36301. 2022-04-07 14:57:18,194:INFO:Checking exceptions
  36302. 2022-04-07 14:57:18,194:INFO:Preloading libraries
  36303. 2022-04-07 14:57:18,214:INFO:Initializing predict_model()
  36304. 2022-04-07 14:57:18,214:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36305. DataTypes_Auto_infer(ml_usecase='classification',
  36306. target='label')),
  36307. ('imputer',
  36308. Simple_Imputer(categorical_strategy='not_available',
  36309. fill_value_categorical=None,
  36310. fill_value_numerical=None,
  36311. numeric_strategy='mean',
  36312. target_variable=None)),
  36313. ('new_levels1',
  36314. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36315. 'frequent',
  36316. targe...
  36317. gamma=0, gpu_id=0, importance_type=None,
  36318. interaction_constraints='', learning_rate=0.005,
  36319. max_delta_step=0, max_depth=128, max_leaves=1024,
  36320. min_child_weight=1, missing=nan,
  36321. monotone_constraints='()', n_estimators=100,
  36322. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36323. random_state=8519, reg_alpha=0, reg_lambda=1,
  36324. scale_pos_weight=1, subsample=1,
  36325. tree_method='gpu_hist', validate_parameters=1,
  36326. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36327. 2022-04-07 14:57:18,214:INFO:Checking exceptions
  36328. 2022-04-07 14:57:18,214:INFO:Preloading libraries
  36329. 2022-04-07 14:57:18,236:INFO:Initializing predict_model()
  36330. 2022-04-07 14:57:18,236:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36331. DataTypes_Auto_infer(ml_usecase='classification',
  36332. target='label')),
  36333. ('imputer',
  36334. Simple_Imputer(categorical_strategy='not_available',
  36335. fill_value_categorical=None,
  36336. fill_value_numerical=None,
  36337. numeric_strategy='mean',
  36338. target_variable=None)),
  36339. ('new_levels1',
  36340. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36341. 'frequent',
  36342. targe...
  36343. gamma=0, gpu_id=0, importance_type=None,
  36344. interaction_constraints='', learning_rate=0.005,
  36345. max_delta_step=0, max_depth=128, max_leaves=1024,
  36346. min_child_weight=1, missing=nan,
  36347. monotone_constraints='()', n_estimators=100,
  36348. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36349. random_state=8519, reg_alpha=0, reg_lambda=1,
  36350. scale_pos_weight=1, subsample=1,
  36351. tree_method='gpu_hist', validate_parameters=1,
  36352. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36353. 2022-04-07 14:57:18,236:INFO:Checking exceptions
  36354. 2022-04-07 14:57:18,237:INFO:Preloading libraries
  36355. 2022-04-07 14:57:18,257:INFO:Initializing predict_model()
  36356. 2022-04-07 14:57:18,257:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36357. DataTypes_Auto_infer(ml_usecase='classification',
  36358. target='label')),
  36359. ('imputer',
  36360. Simple_Imputer(categorical_strategy='not_available',
  36361. fill_value_categorical=None,
  36362. fill_value_numerical=None,
  36363. numeric_strategy='mean',
  36364. target_variable=None)),
  36365. ('new_levels1',
  36366. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36367. 'frequent',
  36368. targe...
  36369. gamma=0, gpu_id=0, importance_type=None,
  36370. interaction_constraints='', learning_rate=0.005,
  36371. max_delta_step=0, max_depth=128, max_leaves=1024,
  36372. min_child_weight=1, missing=nan,
  36373. monotone_constraints='()', n_estimators=100,
  36374. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36375. random_state=8519, reg_alpha=0, reg_lambda=1,
  36376. scale_pos_weight=1, subsample=1,
  36377. tree_method='gpu_hist', validate_parameters=1,
  36378. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36379. 2022-04-07 14:57:18,257:INFO:Checking exceptions
  36380. 2022-04-07 14:57:18,258:INFO:Preloading libraries
  36381. 2022-04-07 14:58:25,686:INFO:Initializing predict_model()
  36382. 2022-04-07 14:58:25,686:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36383. DataTypes_Auto_infer(ml_usecase='classification',
  36384. target='label')),
  36385. ('imputer',
  36386. Simple_Imputer(categorical_strategy='not_available',
  36387. fill_value_categorical=None,
  36388. fill_value_numerical=None,
  36389. numeric_strategy='mean',
  36390. target_variable=None)),
  36391. ('new_levels1',
  36392. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36393. 'frequent',
  36394. targe...
  36395. gamma=0, gpu_id=0, importance_type=None,
  36396. interaction_constraints='', learning_rate=0.005,
  36397. max_delta_step=0, max_depth=128, max_leaves=1024,
  36398. min_child_weight=1, missing=nan,
  36399. monotone_constraints='()', n_estimators=100,
  36400. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36401. random_state=8519, reg_alpha=0, reg_lambda=1,
  36402. scale_pos_weight=1, subsample=1,
  36403. tree_method='gpu_hist', validate_parameters=1,
  36404. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  36405. 2022-04-07 14:58:25,687:INFO:Checking exceptions
  36406. 2022-04-07 14:58:25,687:INFO:Preloading libraries
  36407. 2022-04-07 14:58:41,437:INFO:Initializing predict_model()
  36408. 2022-04-07 14:58:41,437:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36409. DataTypes_Auto_infer(ml_usecase='classification',
  36410. target='label')),
  36411. ('imputer',
  36412. Simple_Imputer(categorical_strategy='not_available',
  36413. fill_value_categorical=None,
  36414. fill_value_numerical=None,
  36415. numeric_strategy='mean',
  36416. target_variable=None)),
  36417. ('new_levels1',
  36418. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36419. 'frequent',
  36420. targe...
  36421. gamma=0, gpu_id=0, importance_type=None,
  36422. interaction_constraints='', learning_rate=0.005,
  36423. max_delta_step=0, max_depth=128, max_leaves=1024,
  36424. min_child_weight=1, missing=nan,
  36425. monotone_constraints='()', n_estimators=100,
  36426. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36427. random_state=8519, reg_alpha=0, reg_lambda=1,
  36428. scale_pos_weight=1, subsample=1,
  36429. tree_method='gpu_hist', validate_parameters=1,
  36430. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  36431. 2022-04-07 14:58:41,437:INFO:Checking exceptions
  36432. 2022-04-07 14:58:41,437:INFO:Preloading libraries
  36433. 2022-04-07 14:58:51,700:INFO:Initializing predict_model()
  36434. 2022-04-07 14:58:51,700:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36435. DataTypes_Auto_infer(ml_usecase='classification',
  36436. target='label')),
  36437. ('imputer',
  36438. Simple_Imputer(categorical_strategy='not_available',
  36439. fill_value_categorical=None,
  36440. fill_value_numerical=None,
  36441. numeric_strategy='mean',
  36442. target_variable=None)),
  36443. ('new_levels1',
  36444. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36445. 'frequent',
  36446. targe...
  36447. gamma=0, gpu_id=0, importance_type=None,
  36448. interaction_constraints='', learning_rate=0.005,
  36449. max_delta_step=0, max_depth=128, max_leaves=1024,
  36450. min_child_weight=1, missing=nan,
  36451. monotone_constraints='()', n_estimators=100,
  36452. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36453. random_state=8519, reg_alpha=0, reg_lambda=1,
  36454. scale_pos_weight=1, subsample=1,
  36455. tree_method='gpu_hist', validate_parameters=1,
  36456. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  36457. 2022-04-07 14:58:51,700:INFO:Checking exceptions
  36458. 2022-04-07 14:58:51,700:INFO:Preloading libraries
  36459. 2022-04-07 15:00:54,568:INFO:Initializing predict_model()
  36460. 2022-04-07 15:00:54,568:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36461. DataTypes_Auto_infer(ml_usecase='classification',
  36462. target='label')),
  36463. ('imputer',
  36464. Simple_Imputer(categorical_strategy='not_available',
  36465. fill_value_categorical=None,
  36466. fill_value_numerical=None,
  36467. numeric_strategy='mean',
  36468. target_variable=None)),
  36469. ('new_levels1',
  36470. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36471. 'frequent',
  36472. targe...
  36473. gamma=0, gpu_id=0, importance_type=None,
  36474. interaction_constraints='', learning_rate=0.005,
  36475. max_delta_step=0, max_depth=128, max_leaves=1024,
  36476. min_child_weight=1, missing=nan,
  36477. monotone_constraints='()', n_estimators=100,
  36478. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36479. random_state=8519, reg_alpha=0, reg_lambda=1,
  36480. scale_pos_weight=1, subsample=1,
  36481. tree_method='gpu_hist', validate_parameters=1,
  36482. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  36483. 2022-04-07 15:00:54,568:INFO:Checking exceptions
  36484. 2022-04-07 15:00:54,568:INFO:Preloading libraries
  36485. 2022-04-07 15:45:08,944:INFO:Initializing load_model()
  36486. 2022-04-07 15:45:08,945:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  36487. 2022-04-07 15:45:20,410:INFO:Initializing predict_model()
  36488. 2022-04-07 15:45:20,410:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36489. DataTypes_Auto_infer(ml_usecase='classification',
  36490. target='label')),
  36491. ('imputer',
  36492. Simple_Imputer(categorical_strategy='not_available',
  36493. fill_value_categorical=None,
  36494. fill_value_numerical=None,
  36495. numeric_strategy='mean',
  36496. target_variable=None)),
  36497. ('new_levels1',
  36498. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36499. 'frequent',
  36500. targe...
  36501. gamma=0, gpu_id=0, importance_type=None,
  36502. interaction_constraints='', learning_rate=0.005,
  36503. max_delta_step=0, max_depth=128, max_leaves=1024,
  36504. min_child_weight=1, missing=nan,
  36505. monotone_constraints='()', n_estimators=100,
  36506. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36507. random_state=8519, reg_alpha=0, reg_lambda=1,
  36508. scale_pos_weight=1, subsample=1,
  36509. tree_method='gpu_hist', validate_parameters=1,
  36510. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36511. 2022-04-07 15:45:20,411:INFO:Checking exceptions
  36512. 2022-04-07 15:45:20,411:INFO:Preloading libraries
  36513. 2022-04-07 15:45:20,432:INFO:Initializing predict_model()
  36514. 2022-04-07 15:45:20,432:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36515. DataTypes_Auto_infer(ml_usecase='classification',
  36516. target='label')),
  36517. ('imputer',
  36518. Simple_Imputer(categorical_strategy='not_available',
  36519. fill_value_categorical=None,
  36520. fill_value_numerical=None,
  36521. numeric_strategy='mean',
  36522. target_variable=None)),
  36523. ('new_levels1',
  36524. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36525. 'frequent',
  36526. targe...
  36527. gamma=0, gpu_id=0, importance_type=None,
  36528. interaction_constraints='', learning_rate=0.005,
  36529. max_delta_step=0, max_depth=128, max_leaves=1024,
  36530. min_child_weight=1, missing=nan,
  36531. monotone_constraints='()', n_estimators=100,
  36532. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36533. random_state=8519, reg_alpha=0, reg_lambda=1,
  36534. scale_pos_weight=1, subsample=1,
  36535. tree_method='gpu_hist', validate_parameters=1,
  36536. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36537. 2022-04-07 15:45:20,433:INFO:Checking exceptions
  36538. 2022-04-07 15:45:20,433:INFO:Preloading libraries
  36539. 2022-04-07 15:45:20,454:INFO:Initializing predict_model()
  36540. 2022-04-07 15:45:20,455:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36541. DataTypes_Auto_infer(ml_usecase='classification',
  36542. target='label')),
  36543. ('imputer',
  36544. Simple_Imputer(categorical_strategy='not_available',
  36545. fill_value_categorical=None,
  36546. fill_value_numerical=None,
  36547. numeric_strategy='mean',
  36548. target_variable=None)),
  36549. ('new_levels1',
  36550. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36551. 'frequent',
  36552. targe...
  36553. gamma=0, gpu_id=0, importance_type=None,
  36554. interaction_constraints='', learning_rate=0.005,
  36555. max_delta_step=0, max_depth=128, max_leaves=1024,
  36556. min_child_weight=1, missing=nan,
  36557. monotone_constraints='()', n_estimators=100,
  36558. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36559. random_state=8519, reg_alpha=0, reg_lambda=1,
  36560. scale_pos_weight=1, subsample=1,
  36561. tree_method='gpu_hist', validate_parameters=1,
  36562. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36563. 2022-04-07 15:45:20,455:INFO:Checking exceptions
  36564. 2022-04-07 15:45:20,455:INFO:Preloading libraries
  36565. 2022-04-07 15:45:20,476:INFO:Initializing predict_model()
  36566. 2022-04-07 15:45:20,476:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36567. DataTypes_Auto_infer(ml_usecase='classification',
  36568. target='label')),
  36569. ('imputer',
  36570. Simple_Imputer(categorical_strategy='not_available',
  36571. fill_value_categorical=None,
  36572. fill_value_numerical=None,
  36573. numeric_strategy='mean',
  36574. target_variable=None)),
  36575. ('new_levels1',
  36576. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36577. 'frequent',
  36578. targe...
  36579. gamma=0, gpu_id=0, importance_type=None,
  36580. interaction_constraints='', learning_rate=0.005,
  36581. max_delta_step=0, max_depth=128, max_leaves=1024,
  36582. min_child_weight=1, missing=nan,
  36583. monotone_constraints='()', n_estimators=100,
  36584. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36585. random_state=8519, reg_alpha=0, reg_lambda=1,
  36586. scale_pos_weight=1, subsample=1,
  36587. tree_method='gpu_hist', validate_parameters=1,
  36588. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36589. 2022-04-07 15:45:20,477:INFO:Checking exceptions
  36590. 2022-04-07 15:45:20,477:INFO:Preloading libraries
  36591. 2022-04-07 15:45:20,498:INFO:Initializing predict_model()
  36592. 2022-04-07 15:45:20,498:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36593. DataTypes_Auto_infer(ml_usecase='classification',
  36594. target='label')),
  36595. ('imputer',
  36596. Simple_Imputer(categorical_strategy='not_available',
  36597. fill_value_categorical=None,
  36598. fill_value_numerical=None,
  36599. numeric_strategy='mean',
  36600. target_variable=None)),
  36601. ('new_levels1',
  36602. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36603. 'frequent',
  36604. targe...
  36605. gamma=0, gpu_id=0, importance_type=None,
  36606. interaction_constraints='', learning_rate=0.005,
  36607. max_delta_step=0, max_depth=128, max_leaves=1024,
  36608. min_child_weight=1, missing=nan,
  36609. monotone_constraints='()', n_estimators=100,
  36610. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36611. random_state=8519, reg_alpha=0, reg_lambda=1,
  36612. scale_pos_weight=1, subsample=1,
  36613. tree_method='gpu_hist', validate_parameters=1,
  36614. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36615. 2022-04-07 15:45:20,498:INFO:Checking exceptions
  36616. 2022-04-07 15:45:20,498:INFO:Preloading libraries
  36617. 2022-04-07 15:45:20,519:INFO:Initializing predict_model()
  36618. 2022-04-07 15:45:20,519:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36619. DataTypes_Auto_infer(ml_usecase='classification',
  36620. target='label')),
  36621. ('imputer',
  36622. Simple_Imputer(categorical_strategy='not_available',
  36623. fill_value_categorical=None,
  36624. fill_value_numerical=None,
  36625. numeric_strategy='mean',
  36626. target_variable=None)),
  36627. ('new_levels1',
  36628. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36629. 'frequent',
  36630. targe...
  36631. gamma=0, gpu_id=0, importance_type=None,
  36632. interaction_constraints='', learning_rate=0.005,
  36633. max_delta_step=0, max_depth=128, max_leaves=1024,
  36634. min_child_weight=1, missing=nan,
  36635. monotone_constraints='()', n_estimators=100,
  36636. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36637. random_state=8519, reg_alpha=0, reg_lambda=1,
  36638. scale_pos_weight=1, subsample=1,
  36639. tree_method='gpu_hist', validate_parameters=1,
  36640. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36641. 2022-04-07 15:45:20,520:INFO:Checking exceptions
  36642. 2022-04-07 15:45:20,520:INFO:Preloading libraries
  36643. 2022-04-07 15:45:20,540:INFO:Initializing predict_model()
  36644. 2022-04-07 15:45:20,541:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36645. DataTypes_Auto_infer(ml_usecase='classification',
  36646. target='label')),
  36647. ('imputer',
  36648. Simple_Imputer(categorical_strategy='not_available',
  36649. fill_value_categorical=None,
  36650. fill_value_numerical=None,
  36651. numeric_strategy='mean',
  36652. target_variable=None)),
  36653. ('new_levels1',
  36654. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36655. 'frequent',
  36656. targe...
  36657. gamma=0, gpu_id=0, importance_type=None,
  36658. interaction_constraints='', learning_rate=0.005,
  36659. max_delta_step=0, max_depth=128, max_leaves=1024,
  36660. min_child_weight=1, missing=nan,
  36661. monotone_constraints='()', n_estimators=100,
  36662. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36663. random_state=8519, reg_alpha=0, reg_lambda=1,
  36664. scale_pos_weight=1, subsample=1,
  36665. tree_method='gpu_hist', validate_parameters=1,
  36666. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36667. 2022-04-07 15:45:20,541:INFO:Checking exceptions
  36668. 2022-04-07 15:45:20,541:INFO:Preloading libraries
  36669. 2022-04-07 15:45:20,561:INFO:Initializing predict_model()
  36670. 2022-04-07 15:45:20,561:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36671. DataTypes_Auto_infer(ml_usecase='classification',
  36672. target='label')),
  36673. ('imputer',
  36674. Simple_Imputer(categorical_strategy='not_available',
  36675. fill_value_categorical=None,
  36676. fill_value_numerical=None,
  36677. numeric_strategy='mean',
  36678. target_variable=None)),
  36679. ('new_levels1',
  36680. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36681. 'frequent',
  36682. targe...
  36683. gamma=0, gpu_id=0, importance_type=None,
  36684. interaction_constraints='', learning_rate=0.005,
  36685. max_delta_step=0, max_depth=128, max_leaves=1024,
  36686. min_child_weight=1, missing=nan,
  36687. monotone_constraints='()', n_estimators=100,
  36688. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36689. random_state=8519, reg_alpha=0, reg_lambda=1,
  36690. scale_pos_weight=1, subsample=1,
  36691. tree_method='gpu_hist', validate_parameters=1,
  36692. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36693. 2022-04-07 15:45:20,562:INFO:Checking exceptions
  36694. 2022-04-07 15:45:20,562:INFO:Preloading libraries
  36695. 2022-04-07 15:45:20,584:INFO:Initializing predict_model()
  36696. 2022-04-07 15:45:20,584:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36697. DataTypes_Auto_infer(ml_usecase='classification',
  36698. target='label')),
  36699. ('imputer',
  36700. Simple_Imputer(categorical_strategy='not_available',
  36701. fill_value_categorical=None,
  36702. fill_value_numerical=None,
  36703. numeric_strategy='mean',
  36704. target_variable=None)),
  36705. ('new_levels1',
  36706. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36707. 'frequent',
  36708. targe...
  36709. gamma=0, gpu_id=0, importance_type=None,
  36710. interaction_constraints='', learning_rate=0.005,
  36711. max_delta_step=0, max_depth=128, max_leaves=1024,
  36712. min_child_weight=1, missing=nan,
  36713. monotone_constraints='()', n_estimators=100,
  36714. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36715. random_state=8519, reg_alpha=0, reg_lambda=1,
  36716. scale_pos_weight=1, subsample=1,
  36717. tree_method='gpu_hist', validate_parameters=1,
  36718. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36719. 2022-04-07 15:45:20,584:INFO:Checking exceptions
  36720. 2022-04-07 15:45:20,584:INFO:Preloading libraries
  36721. 2022-04-07 15:45:20,604:INFO:Initializing predict_model()
  36722. 2022-04-07 15:45:20,604:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36723. DataTypes_Auto_infer(ml_usecase='classification',
  36724. target='label')),
  36725. ('imputer',
  36726. Simple_Imputer(categorical_strategy='not_available',
  36727. fill_value_categorical=None,
  36728. fill_value_numerical=None,
  36729. numeric_strategy='mean',
  36730. target_variable=None)),
  36731. ('new_levels1',
  36732. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36733. 'frequent',
  36734. targe...
  36735. gamma=0, gpu_id=0, importance_type=None,
  36736. interaction_constraints='', learning_rate=0.005,
  36737. max_delta_step=0, max_depth=128, max_leaves=1024,
  36738. min_child_weight=1, missing=nan,
  36739. monotone_constraints='()', n_estimators=100,
  36740. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36741. random_state=8519, reg_alpha=0, reg_lambda=1,
  36742. scale_pos_weight=1, subsample=1,
  36743. tree_method='gpu_hist', validate_parameters=1,
  36744. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  36745. 2022-04-07 15:45:20,605:INFO:Checking exceptions
  36746. 2022-04-07 15:45:20,605:INFO:Preloading libraries
  36747. 2022-04-07 15:47:14,941:INFO:Initializing predict_model()
  36748. 2022-04-07 15:47:14,941:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36749. DataTypes_Auto_infer(ml_usecase='classification',
  36750. target='label')),
  36751. ('imputer',
  36752. Simple_Imputer(categorical_strategy='not_available',
  36753. fill_value_categorical=None,
  36754. fill_value_numerical=None,
  36755. numeric_strategy='mean',
  36756. target_variable=None)),
  36757. ('new_levels1',
  36758. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36759. 'frequent',
  36760. targe...
  36761. gamma=0, gpu_id=0, importance_type=None,
  36762. interaction_constraints='', learning_rate=0.005,
  36763. max_delta_step=0, max_depth=128, max_leaves=1024,
  36764. min_child_weight=1, missing=nan,
  36765. monotone_constraints='()', n_estimators=100,
  36766. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36767. random_state=8519, reg_alpha=0, reg_lambda=1,
  36768. scale_pos_weight=1, subsample=1,
  36769. tree_method='gpu_hist', validate_parameters=1,
  36770. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  36771. 2022-04-07 15:47:14,941:INFO:Checking exceptions
  36772. 2022-04-07 15:47:14,941:INFO:Preloading libraries
  36773. 2022-04-07 15:47:51,689:INFO:Initializing predict_model()
  36774. 2022-04-07 15:47:51,689:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36775. DataTypes_Auto_infer(ml_usecase='classification',
  36776. target='label')),
  36777. ('imputer',
  36778. Simple_Imputer(categorical_strategy='not_available',
  36779. fill_value_categorical=None,
  36780. fill_value_numerical=None,
  36781. numeric_strategy='mean',
  36782. target_variable=None)),
  36783. ('new_levels1',
  36784. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36785. 'frequent',
  36786. targe...
  36787. gamma=0, gpu_id=0, importance_type=None,
  36788. interaction_constraints='', learning_rate=0.005,
  36789. max_delta_step=0, max_depth=128, max_leaves=1024,
  36790. min_child_weight=1, missing=nan,
  36791. monotone_constraints='()', n_estimators=100,
  36792. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36793. random_state=8519, reg_alpha=0, reg_lambda=1,
  36794. scale_pos_weight=1, subsample=1,
  36795. tree_method='gpu_hist', validate_parameters=1,
  36796. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  36797. 2022-04-07 15:47:51,690:INFO:Checking exceptions
  36798. 2022-04-07 15:47:51,690:INFO:Preloading libraries
  36799. 2022-04-07 15:48:15,494:INFO:Initializing predict_model()
  36800. 2022-04-07 15:48:15,494:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  36801. DataTypes_Auto_infer(ml_usecase='classification',
  36802. target='label')),
  36803. ('imputer',
  36804. Simple_Imputer(categorical_strategy='not_available',
  36805. fill_value_categorical=None,
  36806. fill_value_numerical=None,
  36807. numeric_strategy='mean',
  36808. target_variable=None)),
  36809. ('new_levels1',
  36810. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  36811. 'frequent',
  36812. targe...
  36813. gamma=0, gpu_id=0, importance_type=None,
  36814. interaction_constraints='', learning_rate=0.005,
  36815. max_delta_step=0, max_depth=128, max_leaves=1024,
  36816. min_child_weight=1, missing=nan,
  36817. monotone_constraints='()', n_estimators=100,
  36818. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  36819. random_state=8519, reg_alpha=0, reg_lambda=1,
  36820. scale_pos_weight=1, subsample=1,
  36821. tree_method='gpu_hist', validate_parameters=1,
  36822. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  36823. 2022-04-07 15:48:15,494:INFO:Checking exceptions
  36824. 2022-04-07 15:48:15,494:INFO:Preloading libraries
  36825. 2022-04-07 15:57:59,599:INFO:PyCaret Supervised Module
  36826. 2022-04-07 15:57:59,600:INFO:ML Usecase: classification
  36827. 2022-04-07 15:57:59,600:INFO:version 2.3.6
  36828. 2022-04-07 15:57:59,600:INFO:Initializing setup()
  36829. 2022-04-07 15:57:59,600:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  36830. 2022-04-07 15:57:59,600:INFO:Checking environment
  36831. 2022-04-07 15:57:59,600:INFO:python_version: 3.8.12
  36832. 2022-04-07 15:57:59,600:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  36833. 2022-04-07 15:57:59,600:INFO:machine: AMD64
  36834. 2022-04-07 15:57:59,600:INFO:platform: Windows-10-10.0.22000-SP0
  36835. 2022-04-07 15:57:59,600:INFO:Memory: svmem(total=68629368832, available=55956131840, percent=18.5, used=12673236992, free=55956131840)
  36836. 2022-04-07 15:57:59,600:INFO:Physical Core: 16
  36837. 2022-04-07 15:57:59,600:INFO:Logical Core: 32
  36838. 2022-04-07 15:57:59,600:INFO:Checking libraries
  36839. 2022-04-07 15:57:59,600:INFO:pd==1.3.5
  36840. 2022-04-07 15:57:59,600:INFO:numpy==1.21.5
  36841. 2022-04-07 15:57:59,600:INFO:sklearn==0.23.2
  36842. 2022-04-07 15:57:59,600:INFO:lightgbm==3.3.2
  36843. 2022-04-07 15:57:59,873:INFO:catboost==1.0.4
  36844. 2022-04-07 15:58:00,167:INFO:xgboost==1.5.2
  36845. 2022-04-07 15:58:00,750:INFO:mlflow==1.23.1
  36846. 2022-04-07 15:58:00,750:INFO:Checking Exceptions
  36847. 2022-04-07 15:58:00,751:INFO:Declaring global variables
  36848. 2022-04-07 15:58:00,752:INFO:USI: faf9
  36849. 2022-04-07 15:58:00,752:INFO:pycaret_globals: {'display_container', 'prep_pipe', 'logging_param', 'fold_param', 'fold_groups_param', 'USI', '_all_metrics', 'stratify_param', 'exp_name_log', '_all_models', 'imputation_regressor', 'fold_shuffle_param', 'experiment__', 'log_plots_param', 'data_before_preprocess', 'X_test', 'fold_groups_param_full', 'fix_imbalance_method_param', 'y_train', 'n_jobs_param', 'fix_imbalance_param', 'y', 'X_train', 'imputation_classifier', 'pycaret_globals', '_available_plots', 'target_param', 'y_test', 'transform_target_method_param', '_all_models_internal', 'master_model_container', 'gpu_param', 'fold_generator', '_internal_pipeline', 'seed', 'transform_target_param', 'X', 'create_model_container', 'html_param', '_ml_usecase', '_gpu_n_jobs_param', 'iterative_imputation_iters_param'}
  36850. 2022-04-07 15:58:00,752:INFO:Preparing display monitor
  36851. 2022-04-07 15:58:00,752:INFO:Preparing display monitor
  36852. 2022-04-07 15:58:00,762:INFO:Importing libraries
  36853. 2022-04-07 15:58:00,762:INFO:Copying data for preprocessing
  36854. 2022-04-07 15:58:00,768:INFO:Declaring preprocessing parameters
  36855. 2022-04-07 15:58:00,771:INFO:Creating preprocessing pipeline
  36856. 2022-04-07 15:58:00,818:INFO:Preprocessing pipeline created successfully
  36857. 2022-04-07 15:58:00,818:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  36858. 2022-04-07 15:58:00,818:INFO:Creating global containers
  36859. 2022-04-07 15:58:00,820:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  36860. 2022-04-07 15:58:02,944:INFO:Creating grid variables
  36861. 2022-04-07 15:58:02,953:INFO:create_model_container: 0
  36862. 2022-04-07 15:58:02,953:INFO:master_model_container: 0
  36863. 2022-04-07 15:58:02,953:INFO:display_container: 1
  36864. 2022-04-07 15:58:02,956:INFO:Pipeline(memory=None,
  36865. steps=[('dtypes',
  36866. DataTypes_Auto_infer(categorical_features=[],
  36867. display_types=True, features_todrop=[],
  36868. id_columns=[],
  36869. ml_usecase='classification',
  36870. numerical_features=[], target='label',
  36871. time_features=[])),
  36872. ('imputer',
  36873. Simple_Imputer(categorical_strategy='not_available',
  36874. fill_value_categorical=None,
  36875. fill_value_numerical=None,
  36876. numeric_strate...
  36877. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  36878. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  36879. ('cluster_all', 'passthrough'),
  36880. ('dummy', Dummify(target='label')),
  36881. ('fix_perfect', Remove_100(target='label')),
  36882. ('clean_names', Clean_Colum_Names()),
  36883. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  36884. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  36885. verbose=False)
  36886. 2022-04-07 15:58:02,956:INFO:setup() succesfully completed......................................
  36887. 2022-04-07 15:58:08,720:INFO:Initializing load_model()
  36888. 2022-04-07 15:58:08,720:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
  36889. 2022-04-07 15:58:21,972:INFO:Initializing get_config()
  36890. 2022-04-07 15:58:21,972:INFO:get_config(variable=prep_pipe)
  36891. 2022-04-07 15:58:21,975:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  36892. steps=[('dtypes',
  36893. DataTypes_Auto_infer(categorical_features=[],
  36894. display_types=True, features_todrop=[],
  36895. id_columns=[],
  36896. ml_usecase='classification',
  36897. numerical_features=[], target='label',
  36898. time_features=[])),
  36899. ('imputer',
  36900. Simple_Imputer(categorical_strategy='not_available',
  36901. fill_value_categorical=None,
  36902. fill_value_numerical=None,
  36903. numeric_strate...
  36904. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  36905. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  36906. ('cluster_all', 'passthrough'),
  36907. ('dummy', Dummify(target='label')),
  36908. ('fix_perfect', Remove_100(target='label')),
  36909. ('clean_names', Clean_Colum_Names()),
  36910. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  36911. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  36912. verbose=False)
  36913. 2022-04-07 15:58:21,975:INFO:get_config() succesfully completed......................................
  36914. 2022-04-07 15:58:21,975:INFO:Initializing get_config()
  36915. 2022-04-07 15:58:21,975:INFO:get_config(variable=data_before_preprocess)
  36916. 2022-04-07 15:58:21,979:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  36917. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  36918. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  36919. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  36920. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  36921. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  36922. ... ... ... ... ... ... ... ... ... ... ...
  36923. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  36924. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  36925. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  36926. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  36927. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  36928. minute
  36929. 0 0
  36930. 1 1
  36931. 2 2
  36932. 3 3
  36933. 4 4
  36934. ... ...
  36935. 64795 55
  36936. 64796 56
  36937. 64797 57
  36938. 64798 58
  36939. 64799 59
  36940. [64800 rows x 11 columns]
  36941. 2022-04-07 15:58:21,979:INFO:get_config() succesfully completed......................................
  36942. 2022-04-07 15:58:21,982:INFO:Initializing get_config()
  36943. 2022-04-07 15:58:21,982:INFO:get_config(variable=prep_pipe)
  36944. 2022-04-07 15:58:21,985:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  36945. steps=[('dtypes',
  36946. DataTypes_Auto_infer(categorical_features=[],
  36947. display_types=True, features_todrop=[],
  36948. id_columns=[],
  36949. ml_usecase='classification',
  36950. numerical_features=[], target='label',
  36951. time_features=[])),
  36952. ('imputer',
  36953. Simple_Imputer(categorical_strategy='not_available',
  36954. fill_value_categorical=None,
  36955. fill_value_numerical=None,
  36956. numeric_strate...
  36957. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  36958. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  36959. ('cluster_all', 'passthrough'),
  36960. ('dummy', Dummify(target='label')),
  36961. ('fix_perfect', Remove_100(target='label')),
  36962. ('clean_names', Clean_Colum_Names()),
  36963. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  36964. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  36965. verbose=False)
  36966. 2022-04-07 15:58:21,985:INFO:get_config() succesfully completed......................................
  36967. 2022-04-07 15:58:21,996:INFO:Initializing save_model()
  36968. 2022-04-07 15:58:21,996:INFO:save_model(model=Pipeline(memory=None,
  36969. steps=[('dtypes',
  36970. DataTypes_Auto_infer(categorical_features=[],
  36971. display_types=True, features_todrop=[],
  36972. id_columns=[],
  36973. ml_usecase='classification',
  36974. numerical_features=[], target='label',
  36975. time_features=[])),
  36976. ('imputer',
  36977. Simple_Imputer(categorical_strategy='not_available',
  36978. fill_value_categorical=None,
  36979. fill_value_numerical=None,
  36980. numeric_strate...
  36981. max_delta_step=0, max_depth=128, max_leaves=1024,
  36982. min_child_weight=1, missing=nan,
  36983. monotone_constraints='()', n_estimators=100,
  36984. n_jobs=-1, num_parallel_tree=1,
  36985. objective='binary:logistic', predictor='auto',
  36986. random_state=8519, reg_alpha=0, reg_lambda=1,
  36987. scale_pos_weight=1, subsample=1,
  36988. tree_method='gpu_hist', use_label_encoder=True,
  36989. validate_parameters=1, ...)]],
  36990. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  36991. steps=[('dtypes',
  36992. DataTypes_Auto_infer(categorical_features=[],
  36993. display_types=True, features_todrop=[],
  36994. id_columns=[],
  36995. ml_usecase='classification',
  36996. numerical_features=[], target='label',
  36997. time_features=[])),
  36998. ('imputer',
  36999. Simple_Imputer(categorical_strategy='not_available',
  37000. fill_value_categorical=None,
  37001. fill_value_numerical=None,
  37002. numeric_strate...
  37003. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  37004. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  37005. ('cluster_all', 'passthrough'),
  37006. ('dummy', Dummify(target='label')),
  37007. ('fix_perfect', Remove_100(target='label')),
  37008. ('clean_names', Clean_Colum_Names()),
  37009. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  37010. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  37011. verbose=False), verbose=False, kwargs={})
  37012. 2022-04-07 15:58:21,996:INFO:Adding model into prep_pipe
  37013. 2022-04-07 15:58:22,350:WARNING:Only Model saved as it was a pipeline.
  37014. 2022-04-07 15:58:22,577:INFO:my_api.pkl saved in current working directory
  37015. 2022-04-07 15:58:22,584:INFO:Pipeline(memory=None,
  37016. steps=[('dtypes',
  37017. DataTypes_Auto_infer(categorical_features=[],
  37018. display_types=True, features_todrop=[],
  37019. id_columns=[],
  37020. ml_usecase='classification',
  37021. numerical_features=[], target='label',
  37022. time_features=[])),
  37023. ('imputer',
  37024. Simple_Imputer(categorical_strategy='not_available',
  37025. fill_value_categorical=None,
  37026. fill_value_numerical=None,
  37027. numeric_strate...
  37028. max_delta_step=0, max_depth=128, max_leaves=1024,
  37029. min_child_weight=1, missing=nan,
  37030. monotone_constraints='()', n_estimators=100,
  37031. n_jobs=-1, num_parallel_tree=1,
  37032. objective='binary:logistic', predictor='auto',
  37033. random_state=8519, reg_alpha=0, reg_lambda=1,
  37034. scale_pos_weight=1, subsample=1,
  37035. tree_method='gpu_hist', use_label_encoder=True,
  37036. validate_parameters=1, ...)]],
  37037. verbose=False)
  37038. 2022-04-07 15:58:22,584:INFO:save_model() successfully completed......................................
  37039. 2022-04-07 16:00:14,102:INFO:Initializing load_model()
  37040. 2022-04-07 16:00:14,102:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  37041. 2022-04-07 16:04:26,041:INFO:Initializing predict_model()
  37042. 2022-04-07 16:04:26,042:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37043. DataTypes_Auto_infer(ml_usecase='classification',
  37044. target='label')),
  37045. ('imputer',
  37046. Simple_Imputer(categorical_strategy='not_available',
  37047. fill_value_categorical=None,
  37048. fill_value_numerical=None,
  37049. numeric_strategy='mean',
  37050. target_variable=None)),
  37051. ('new_levels1',
  37052. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37053. 'frequent',
  37054. targe...
  37055. gamma=0, gpu_id=0, importance_type=None,
  37056. interaction_constraints='', learning_rate=0.005,
  37057. max_delta_step=0, max_depth=128, max_leaves=1024,
  37058. min_child_weight=1, missing=nan,
  37059. monotone_constraints='()', n_estimators=100,
  37060. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37061. random_state=8519, reg_alpha=0, reg_lambda=1,
  37062. scale_pos_weight=1, subsample=1,
  37063. tree_method='gpu_hist', validate_parameters=1,
  37064. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37065. 2022-04-07 16:04:26,042:INFO:Checking exceptions
  37066. 2022-04-07 16:04:26,042:INFO:Preloading libraries
  37067. 2022-04-07 16:04:34,461:INFO:Initializing predict_model()
  37068. 2022-04-07 16:04:34,461:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37069. DataTypes_Auto_infer(ml_usecase='classification',
  37070. target='label')),
  37071. ('imputer',
  37072. Simple_Imputer(categorical_strategy='not_available',
  37073. fill_value_categorical=None,
  37074. fill_value_numerical=None,
  37075. numeric_strategy='mean',
  37076. target_variable=None)),
  37077. ('new_levels1',
  37078. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37079. 'frequent',
  37080. targe...
  37081. gamma=0, gpu_id=0, importance_type=None,
  37082. interaction_constraints='', learning_rate=0.005,
  37083. max_delta_step=0, max_depth=128, max_leaves=1024,
  37084. min_child_weight=1, missing=nan,
  37085. monotone_constraints='()', n_estimators=100,
  37086. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37087. random_state=8519, reg_alpha=0, reg_lambda=1,
  37088. scale_pos_weight=1, subsample=1,
  37089. tree_method='gpu_hist', validate_parameters=1,
  37090. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37091. 2022-04-07 16:04:34,461:INFO:Checking exceptions
  37092. 2022-04-07 16:04:34,461:INFO:Preloading libraries
  37093. 2022-04-07 16:05:18,375:INFO:Initializing predict_model()
  37094. 2022-04-07 16:05:18,376:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37095. DataTypes_Auto_infer(ml_usecase='classification',
  37096. target='label')),
  37097. ('imputer',
  37098. Simple_Imputer(categorical_strategy='not_available',
  37099. fill_value_categorical=None,
  37100. fill_value_numerical=None,
  37101. numeric_strategy='mean',
  37102. target_variable=None)),
  37103. ('new_levels1',
  37104. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37105. 'frequent',
  37106. targe...
  37107. gamma=0, gpu_id=0, importance_type=None,
  37108. interaction_constraints='', learning_rate=0.005,
  37109. max_delta_step=0, max_depth=128, max_leaves=1024,
  37110. min_child_weight=1, missing=nan,
  37111. monotone_constraints='()', n_estimators=100,
  37112. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37113. random_state=8519, reg_alpha=0, reg_lambda=1,
  37114. scale_pos_weight=1, subsample=1,
  37115. tree_method='gpu_hist', validate_parameters=1,
  37116. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37117. 2022-04-07 16:05:18,376:INFO:Checking exceptions
  37118. 2022-04-07 16:05:18,376:INFO:Preloading libraries
  37119. 2022-04-07 16:05:38,270:INFO:Initializing predict_model()
  37120. 2022-04-07 16:05:38,270:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37121. DataTypes_Auto_infer(ml_usecase='classification',
  37122. target='label')),
  37123. ('imputer',
  37124. Simple_Imputer(categorical_strategy='not_available',
  37125. fill_value_categorical=None,
  37126. fill_value_numerical=None,
  37127. numeric_strategy='mean',
  37128. target_variable=None)),
  37129. ('new_levels1',
  37130. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37131. 'frequent',
  37132. targe...
  37133. gamma=0, gpu_id=0, importance_type=None,
  37134. interaction_constraints='', learning_rate=0.005,
  37135. max_delta_step=0, max_depth=128, max_leaves=1024,
  37136. min_child_weight=1, missing=nan,
  37137. monotone_constraints='()', n_estimators=100,
  37138. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37139. random_state=8519, reg_alpha=0, reg_lambda=1,
  37140. scale_pos_weight=1, subsample=1,
  37141. tree_method='gpu_hist', validate_parameters=1,
  37142. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37143. 2022-04-07 16:05:38,270:INFO:Checking exceptions
  37144. 2022-04-07 16:05:38,270:INFO:Preloading libraries
  37145. 2022-04-07 16:05:51,877:INFO:Initializing predict_model()
  37146. 2022-04-07 16:05:51,878:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37147. DataTypes_Auto_infer(ml_usecase='classification',
  37148. target='label')),
  37149. ('imputer',
  37150. Simple_Imputer(categorical_strategy='not_available',
  37151. fill_value_categorical=None,
  37152. fill_value_numerical=None,
  37153. numeric_strategy='mean',
  37154. target_variable=None)),
  37155. ('new_levels1',
  37156. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37157. 'frequent',
  37158. targe...
  37159. gamma=0, gpu_id=0, importance_type=None,
  37160. interaction_constraints='', learning_rate=0.005,
  37161. max_delta_step=0, max_depth=128, max_leaves=1024,
  37162. min_child_weight=1, missing=nan,
  37163. monotone_constraints='()', n_estimators=100,
  37164. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37165. random_state=8519, reg_alpha=0, reg_lambda=1,
  37166. scale_pos_weight=1, subsample=1,
  37167. tree_method='gpu_hist', validate_parameters=1,
  37168. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37169. 2022-04-07 16:05:51,878:INFO:Checking exceptions
  37170. 2022-04-07 16:05:51,878:INFO:Preloading libraries
  37171. 2022-04-07 16:07:31,787:INFO:Initializing predict_model()
  37172. 2022-04-07 16:07:31,787:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37173. DataTypes_Auto_infer(ml_usecase='classification',
  37174. target='label')),
  37175. ('imputer',
  37176. Simple_Imputer(categorical_strategy='not_available',
  37177. fill_value_categorical=None,
  37178. fill_value_numerical=None,
  37179. numeric_strategy='mean',
  37180. target_variable=None)),
  37181. ('new_levels1',
  37182. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37183. 'frequent',
  37184. targe...
  37185. gamma=0, gpu_id=0, importance_type=None,
  37186. interaction_constraints='', learning_rate=0.005,
  37187. max_delta_step=0, max_depth=128, max_leaves=1024,
  37188. min_child_weight=1, missing=nan,
  37189. monotone_constraints='()', n_estimators=100,
  37190. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37191. random_state=8519, reg_alpha=0, reg_lambda=1,
  37192. scale_pos_weight=1, subsample=1,
  37193. tree_method='gpu_hist', validate_parameters=1,
  37194. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37195. 2022-04-07 16:07:31,787:INFO:Checking exceptions
  37196. 2022-04-07 16:07:31,787:INFO:Preloading libraries
  37197. 2022-04-07 16:11:57,943:INFO:Initializing predict_model()
  37198. 2022-04-07 16:11:57,943:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37199. DataTypes_Auto_infer(ml_usecase='classification',
  37200. target='label')),
  37201. ('imputer',
  37202. Simple_Imputer(categorical_strategy='not_available',
  37203. fill_value_categorical=None,
  37204. fill_value_numerical=None,
  37205. numeric_strategy='mean',
  37206. target_variable=None)),
  37207. ('new_levels1',
  37208. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37209. 'frequent',
  37210. targe...
  37211. gamma=0, gpu_id=0, importance_type=None,
  37212. interaction_constraints='', learning_rate=0.005,
  37213. max_delta_step=0, max_depth=128, max_leaves=1024,
  37214. min_child_weight=1, missing=nan,
  37215. monotone_constraints='()', n_estimators=100,
  37216. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37217. random_state=8519, reg_alpha=0, reg_lambda=1,
  37218. scale_pos_weight=1, subsample=1,
  37219. tree_method='gpu_hist', validate_parameters=1,
  37220. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37221. 2022-04-07 16:11:57,943:INFO:Checking exceptions
  37222. 2022-04-07 16:11:57,943:INFO:Preloading libraries
  37223. 2022-04-07 16:18:21,719:INFO:Initializing predict_model()
  37224. 2022-04-07 16:18:21,719:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37225. DataTypes_Auto_infer(ml_usecase='classification',
  37226. target='label')),
  37227. ('imputer',
  37228. Simple_Imputer(categorical_strategy='not_available',
  37229. fill_value_categorical=None,
  37230. fill_value_numerical=None,
  37231. numeric_strategy='mean',
  37232. target_variable=None)),
  37233. ('new_levels1',
  37234. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37235. 'frequent',
  37236. targe...
  37237. gamma=0, gpu_id=0, importance_type=None,
  37238. interaction_constraints='', learning_rate=0.005,
  37239. max_delta_step=0, max_depth=128, max_leaves=1024,
  37240. min_child_weight=1, missing=nan,
  37241. monotone_constraints='()', n_estimators=100,
  37242. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37243. random_state=8519, reg_alpha=0, reg_lambda=1,
  37244. scale_pos_weight=1, subsample=1,
  37245. tree_method='gpu_hist', validate_parameters=1,
  37246. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37247. 2022-04-07 16:18:21,719:INFO:Checking exceptions
  37248. 2022-04-07 16:18:21,719:INFO:Preloading libraries
  37249. 2022-04-07 16:18:23,427:INFO:Initializing predict_model()
  37250. 2022-04-07 16:18:23,428:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37251. DataTypes_Auto_infer(ml_usecase='classification',
  37252. target='label')),
  37253. ('imputer',
  37254. Simple_Imputer(categorical_strategy='not_available',
  37255. fill_value_categorical=None,
  37256. fill_value_numerical=None,
  37257. numeric_strategy='mean',
  37258. target_variable=None)),
  37259. ('new_levels1',
  37260. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37261. 'frequent',
  37262. targe...
  37263. gamma=0, gpu_id=0, importance_type=None,
  37264. interaction_constraints='', learning_rate=0.005,
  37265. max_delta_step=0, max_depth=128, max_leaves=1024,
  37266. min_child_weight=1, missing=nan,
  37267. monotone_constraints='()', n_estimators=100,
  37268. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37269. random_state=8519, reg_alpha=0, reg_lambda=1,
  37270. scale_pos_weight=1, subsample=1,
  37271. tree_method='gpu_hist', validate_parameters=1,
  37272. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37273. 2022-04-07 16:18:23,428:INFO:Checking exceptions
  37274. 2022-04-07 16:18:23,428:INFO:Preloading libraries
  37275. 2022-04-07 16:18:24,314:INFO:Initializing predict_model()
  37276. 2022-04-07 16:18:24,314:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37277. DataTypes_Auto_infer(ml_usecase='classification',
  37278. target='label')),
  37279. ('imputer',
  37280. Simple_Imputer(categorical_strategy='not_available',
  37281. fill_value_categorical=None,
  37282. fill_value_numerical=None,
  37283. numeric_strategy='mean',
  37284. target_variable=None)),
  37285. ('new_levels1',
  37286. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37287. 'frequent',
  37288. targe...
  37289. gamma=0, gpu_id=0, importance_type=None,
  37290. interaction_constraints='', learning_rate=0.005,
  37291. max_delta_step=0, max_depth=128, max_leaves=1024,
  37292. min_child_weight=1, missing=nan,
  37293. monotone_constraints='()', n_estimators=100,
  37294. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37295. random_state=8519, reg_alpha=0, reg_lambda=1,
  37296. scale_pos_weight=1, subsample=1,
  37297. tree_method='gpu_hist', validate_parameters=1,
  37298. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37299. 2022-04-07 16:18:24,314:INFO:Checking exceptions
  37300. 2022-04-07 16:18:24,314:INFO:Preloading libraries
  37301. 2022-04-07 16:20:38,973:INFO:Initializing predict_model()
  37302. 2022-04-07 16:20:38,973:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37303. DataTypes_Auto_infer(ml_usecase='classification',
  37304. target='label')),
  37305. ('imputer',
  37306. Simple_Imputer(categorical_strategy='not_available',
  37307. fill_value_categorical=None,
  37308. fill_value_numerical=None,
  37309. numeric_strategy='mean',
  37310. target_variable=None)),
  37311. ('new_levels1',
  37312. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37313. 'frequent',
  37314. targe...
  37315. gamma=0, gpu_id=0, importance_type=None,
  37316. interaction_constraints='', learning_rate=0.005,
  37317. max_delta_step=0, max_depth=128, max_leaves=1024,
  37318. min_child_weight=1, missing=nan,
  37319. monotone_constraints='()', n_estimators=100,
  37320. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37321. random_state=8519, reg_alpha=0, reg_lambda=1,
  37322. scale_pos_weight=1, subsample=1,
  37323. tree_method='gpu_hist', validate_parameters=1,
  37324. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37325. 2022-04-07 16:20:38,973:INFO:Checking exceptions
  37326. 2022-04-07 16:20:38,973:INFO:Preloading libraries
  37327. 2022-04-07 16:22:33,070:INFO:Initializing load_model()
  37328. 2022-04-07 16:22:33,071:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  37329. 2022-04-07 16:22:38,922:INFO:Initializing predict_model()
  37330. 2022-04-07 16:22:38,922:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37331. DataTypes_Auto_infer(ml_usecase='classification',
  37332. target='label')),
  37333. ('imputer',
  37334. Simple_Imputer(categorical_strategy='not_available',
  37335. fill_value_categorical=None,
  37336. fill_value_numerical=None,
  37337. numeric_strategy='mean',
  37338. target_variable=None)),
  37339. ('new_levels1',
  37340. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37341. 'frequent',
  37342. targe...
  37343. gamma=0, gpu_id=0, importance_type=None,
  37344. interaction_constraints='', learning_rate=0.005,
  37345. max_delta_step=0, max_depth=128, max_leaves=1024,
  37346. min_child_weight=1, missing=nan,
  37347. monotone_constraints='()', n_estimators=100,
  37348. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37349. random_state=8519, reg_alpha=0, reg_lambda=1,
  37350. scale_pos_weight=1, subsample=1,
  37351. tree_method='gpu_hist', validate_parameters=1,
  37352. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37353. 2022-04-07 16:22:38,922:INFO:Checking exceptions
  37354. 2022-04-07 16:22:38,922:INFO:Preloading libraries
  37355. 2022-04-07 16:22:40,438:INFO:Initializing predict_model()
  37356. 2022-04-07 16:22:40,438:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37357. DataTypes_Auto_infer(ml_usecase='classification',
  37358. target='label')),
  37359. ('imputer',
  37360. Simple_Imputer(categorical_strategy='not_available',
  37361. fill_value_categorical=None,
  37362. fill_value_numerical=None,
  37363. numeric_strategy='mean',
  37364. target_variable=None)),
  37365. ('new_levels1',
  37366. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37367. 'frequent',
  37368. targe...
  37369. gamma=0, gpu_id=0, importance_type=None,
  37370. interaction_constraints='', learning_rate=0.005,
  37371. max_delta_step=0, max_depth=128, max_leaves=1024,
  37372. min_child_weight=1, missing=nan,
  37373. monotone_constraints='()', n_estimators=100,
  37374. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37375. random_state=8519, reg_alpha=0, reg_lambda=1,
  37376. scale_pos_weight=1, subsample=1,
  37377. tree_method='gpu_hist', validate_parameters=1,
  37378. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37379. 2022-04-07 16:22:40,438:INFO:Checking exceptions
  37380. 2022-04-07 16:22:40,438:INFO:Preloading libraries
  37381. 2022-04-07 16:22:41,364:INFO:Initializing predict_model()
  37382. 2022-04-07 16:22:41,365:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37383. DataTypes_Auto_infer(ml_usecase='classification',
  37384. target='label')),
  37385. ('imputer',
  37386. Simple_Imputer(categorical_strategy='not_available',
  37387. fill_value_categorical=None,
  37388. fill_value_numerical=None,
  37389. numeric_strategy='mean',
  37390. target_variable=None)),
  37391. ('new_levels1',
  37392. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37393. 'frequent',
  37394. targe...
  37395. gamma=0, gpu_id=0, importance_type=None,
  37396. interaction_constraints='', learning_rate=0.005,
  37397. max_delta_step=0, max_depth=128, max_leaves=1024,
  37398. min_child_weight=1, missing=nan,
  37399. monotone_constraints='()', n_estimators=100,
  37400. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37401. random_state=8519, reg_alpha=0, reg_lambda=1,
  37402. scale_pos_weight=1, subsample=1,
  37403. tree_method='gpu_hist', validate_parameters=1,
  37404. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37405. 2022-04-07 16:22:41,365:INFO:Checking exceptions
  37406. 2022-04-07 16:22:41,365:INFO:Preloading libraries
  37407. 2022-04-07 16:22:42,155:INFO:Initializing predict_model()
  37408. 2022-04-07 16:22:42,155:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37409. DataTypes_Auto_infer(ml_usecase='classification',
  37410. target='label')),
  37411. ('imputer',
  37412. Simple_Imputer(categorical_strategy='not_available',
  37413. fill_value_categorical=None,
  37414. fill_value_numerical=None,
  37415. numeric_strategy='mean',
  37416. target_variable=None)),
  37417. ('new_levels1',
  37418. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37419. 'frequent',
  37420. targe...
  37421. gamma=0, gpu_id=0, importance_type=None,
  37422. interaction_constraints='', learning_rate=0.005,
  37423. max_delta_step=0, max_depth=128, max_leaves=1024,
  37424. min_child_weight=1, missing=nan,
  37425. monotone_constraints='()', n_estimators=100,
  37426. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37427. random_state=8519, reg_alpha=0, reg_lambda=1,
  37428. scale_pos_weight=1, subsample=1,
  37429. tree_method='gpu_hist', validate_parameters=1,
  37430. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37431. 2022-04-07 16:22:42,155:INFO:Checking exceptions
  37432. 2022-04-07 16:22:42,155:INFO:Preloading libraries
  37433. 2022-04-07 16:22:45,656:INFO:Initializing predict_model()
  37434. 2022-04-07 16:22:45,656:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37435. DataTypes_Auto_infer(ml_usecase='classification',
  37436. target='label')),
  37437. ('imputer',
  37438. Simple_Imputer(categorical_strategy='not_available',
  37439. fill_value_categorical=None,
  37440. fill_value_numerical=None,
  37441. numeric_strategy='mean',
  37442. target_variable=None)),
  37443. ('new_levels1',
  37444. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37445. 'frequent',
  37446. targe...
  37447. gamma=0, gpu_id=0, importance_type=None,
  37448. interaction_constraints='', learning_rate=0.005,
  37449. max_delta_step=0, max_depth=128, max_leaves=1024,
  37450. min_child_weight=1, missing=nan,
  37451. monotone_constraints='()', n_estimators=100,
  37452. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37453. random_state=8519, reg_alpha=0, reg_lambda=1,
  37454. scale_pos_weight=1, subsample=1,
  37455. tree_method='gpu_hist', validate_parameters=1,
  37456. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37457. 2022-04-07 16:22:45,656:INFO:Checking exceptions
  37458. 2022-04-07 16:22:45,656:INFO:Preloading libraries
  37459. 2022-04-07 16:22:52,634:INFO:Initializing predict_model()
  37460. 2022-04-07 16:22:52,634:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37461. DataTypes_Auto_infer(ml_usecase='classification',
  37462. target='label')),
  37463. ('imputer',
  37464. Simple_Imputer(categorical_strategy='not_available',
  37465. fill_value_categorical=None,
  37466. fill_value_numerical=None,
  37467. numeric_strategy='mean',
  37468. target_variable=None)),
  37469. ('new_levels1',
  37470. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37471. 'frequent',
  37472. targe...
  37473. gamma=0, gpu_id=0, importance_type=None,
  37474. interaction_constraints='', learning_rate=0.005,
  37475. max_delta_step=0, max_depth=128, max_leaves=1024,
  37476. min_child_weight=1, missing=nan,
  37477. monotone_constraints='()', n_estimators=100,
  37478. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37479. random_state=8519, reg_alpha=0, reg_lambda=1,
  37480. scale_pos_weight=1, subsample=1,
  37481. tree_method='gpu_hist', validate_parameters=1,
  37482. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37483. 2022-04-07 16:22:52,634:INFO:Checking exceptions
  37484. 2022-04-07 16:22:52,635:INFO:Preloading libraries
  37485. 2022-04-07 16:23:22,948:INFO:Initializing predict_model()
  37486. 2022-04-07 16:23:22,948:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37487. DataTypes_Auto_infer(ml_usecase='classification',
  37488. target='label')),
  37489. ('imputer',
  37490. Simple_Imputer(categorical_strategy='not_available',
  37491. fill_value_categorical=None,
  37492. fill_value_numerical=None,
  37493. numeric_strategy='mean',
  37494. target_variable=None)),
  37495. ('new_levels1',
  37496. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37497. 'frequent',
  37498. targe...
  37499. gamma=0, gpu_id=0, importance_type=None,
  37500. interaction_constraints='', learning_rate=0.005,
  37501. max_delta_step=0, max_depth=128, max_leaves=1024,
  37502. min_child_weight=1, missing=nan,
  37503. monotone_constraints='()', n_estimators=100,
  37504. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37505. random_state=8519, reg_alpha=0, reg_lambda=1,
  37506. scale_pos_weight=1, subsample=1,
  37507. tree_method='gpu_hist', validate_parameters=1,
  37508. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37509. 2022-04-07 16:23:22,948:INFO:Checking exceptions
  37510. 2022-04-07 16:23:22,948:INFO:Preloading libraries
  37511. 2022-04-07 16:24:00,427:INFO:Initializing predict_model()
  37512. 2022-04-07 16:24:00,428:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37513. DataTypes_Auto_infer(ml_usecase='classification',
  37514. target='label')),
  37515. ('imputer',
  37516. Simple_Imputer(categorical_strategy='not_available',
  37517. fill_value_categorical=None,
  37518. fill_value_numerical=None,
  37519. numeric_strategy='mean',
  37520. target_variable=None)),
  37521. ('new_levels1',
  37522. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37523. 'frequent',
  37524. targe...
  37525. gamma=0, gpu_id=0, importance_type=None,
  37526. interaction_constraints='', learning_rate=0.005,
  37527. max_delta_step=0, max_depth=128, max_leaves=1024,
  37528. min_child_weight=1, missing=nan,
  37529. monotone_constraints='()', n_estimators=100,
  37530. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37531. random_state=8519, reg_alpha=0, reg_lambda=1,
  37532. scale_pos_weight=1, subsample=1,
  37533. tree_method='gpu_hist', validate_parameters=1,
  37534. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  37535. 2022-04-07 16:24:00,428:INFO:Checking exceptions
  37536. 2022-04-07 16:24:00,428:INFO:Preloading libraries
  37537. 2022-04-07 16:24:03,723:INFO:Initializing predict_model()
  37538. 2022-04-07 16:24:03,723:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37539. DataTypes_Auto_infer(ml_usecase='classification',
  37540. target='label')),
  37541. ('imputer',
  37542. Simple_Imputer(categorical_strategy='not_available',
  37543. fill_value_categorical=None,
  37544. fill_value_numerical=None,
  37545. numeric_strategy='mean',
  37546. target_variable=None)),
  37547. ('new_levels1',
  37548. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37549. 'frequent',
  37550. targe...
  37551. gamma=0, gpu_id=0, importance_type=None,
  37552. interaction_constraints='', learning_rate=0.005,
  37553. max_delta_step=0, max_depth=128, max_leaves=1024,
  37554. min_child_weight=1, missing=nan,
  37555. monotone_constraints='()', n_estimators=100,
  37556. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37557. random_state=8519, reg_alpha=0, reg_lambda=1,
  37558. scale_pos_weight=1, subsample=1,
  37559. tree_method='gpu_hist', validate_parameters=1,
  37560. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  37561. 2022-04-07 16:24:03,723:INFO:Checking exceptions
  37562. 2022-04-07 16:24:03,724:INFO:Preloading libraries
  37563. 2022-04-07 16:24:13,288:INFO:Initializing predict_model()
  37564. 2022-04-07 16:24:13,288:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37565. DataTypes_Auto_infer(ml_usecase='classification',
  37566. target='label')),
  37567. ('imputer',
  37568. Simple_Imputer(categorical_strategy='not_available',
  37569. fill_value_categorical=None,
  37570. fill_value_numerical=None,
  37571. numeric_strategy='mean',
  37572. target_variable=None)),
  37573. ('new_levels1',
  37574. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37575. 'frequent',
  37576. targe...
  37577. gamma=0, gpu_id=0, importance_type=None,
  37578. interaction_constraints='', learning_rate=0.005,
  37579. max_delta_step=0, max_depth=128, max_leaves=1024,
  37580. min_child_weight=1, missing=nan,
  37581. monotone_constraints='()', n_estimators=100,
  37582. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37583. random_state=8519, reg_alpha=0, reg_lambda=1,
  37584. scale_pos_weight=1, subsample=1,
  37585. tree_method='gpu_hist', validate_parameters=1,
  37586. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  37587. 2022-04-07 16:24:13,288:INFO:Checking exceptions
  37588. 2022-04-07 16:24:13,288:INFO:Preloading libraries
  37589. 2022-04-07 16:24:33,763:INFO:Initializing predict_model()
  37590. 2022-04-07 16:24:33,764:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37591. DataTypes_Auto_infer(ml_usecase='classification',
  37592. target='label')),
  37593. ('imputer',
  37594. Simple_Imputer(categorical_strategy='not_available',
  37595. fill_value_categorical=None,
  37596. fill_value_numerical=None,
  37597. numeric_strategy='mean',
  37598. target_variable=None)),
  37599. ('new_levels1',
  37600. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37601. 'frequent',
  37602. targe...
  37603. gamma=0, gpu_id=0, importance_type=None,
  37604. interaction_constraints='', learning_rate=0.005,
  37605. max_delta_step=0, max_depth=128, max_leaves=1024,
  37606. min_child_weight=1, missing=nan,
  37607. monotone_constraints='()', n_estimators=100,
  37608. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37609. random_state=8519, reg_alpha=0, reg_lambda=1,
  37610. scale_pos_weight=1, subsample=1,
  37611. tree_method='gpu_hist', validate_parameters=1,
  37612. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  37613. 2022-04-07 16:24:33,764:INFO:Checking exceptions
  37614. 2022-04-07 16:24:33,764:INFO:Preloading libraries
  37615. 2022-04-07 16:24:42,024:INFO:Initializing predict_model()
  37616. 2022-04-07 16:24:42,024:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37617. DataTypes_Auto_infer(ml_usecase='classification',
  37618. target='label')),
  37619. ('imputer',
  37620. Simple_Imputer(categorical_strategy='not_available',
  37621. fill_value_categorical=None,
  37622. fill_value_numerical=None,
  37623. numeric_strategy='mean',
  37624. target_variable=None)),
  37625. ('new_levels1',
  37626. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37627. 'frequent',
  37628. targe...
  37629. gamma=0, gpu_id=0, importance_type=None,
  37630. interaction_constraints='', learning_rate=0.005,
  37631. max_delta_step=0, max_depth=128, max_leaves=1024,
  37632. min_child_weight=1, missing=nan,
  37633. monotone_constraints='()', n_estimators=100,
  37634. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37635. random_state=8519, reg_alpha=0, reg_lambda=1,
  37636. scale_pos_weight=1, subsample=1,
  37637. tree_method='gpu_hist', validate_parameters=1,
  37638. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37639. 2022-04-07 16:24:42,024:INFO:Checking exceptions
  37640. 2022-04-07 16:24:42,024:INFO:Preloading libraries
  37641. 2022-04-07 16:25:39,950:INFO:Initializing predict_model()
  37642. 2022-04-07 16:25:39,950:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37643. DataTypes_Auto_infer(ml_usecase='classification',
  37644. target='label')),
  37645. ('imputer',
  37646. Simple_Imputer(categorical_strategy='not_available',
  37647. fill_value_categorical=None,
  37648. fill_value_numerical=None,
  37649. numeric_strategy='mean',
  37650. target_variable=None)),
  37651. ('new_levels1',
  37652. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37653. 'frequent',
  37654. targe...
  37655. gamma=0, gpu_id=0, importance_type=None,
  37656. interaction_constraints='', learning_rate=0.005,
  37657. max_delta_step=0, max_depth=128, max_leaves=1024,
  37658. min_child_weight=1, missing=nan,
  37659. monotone_constraints='()', n_estimators=100,
  37660. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37661. random_state=8519, reg_alpha=0, reg_lambda=1,
  37662. scale_pos_weight=1, subsample=1,
  37663. tree_method='gpu_hist', validate_parameters=1,
  37664. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37665. 2022-04-07 16:25:39,950:INFO:Checking exceptions
  37666. 2022-04-07 16:25:39,950:INFO:Preloading libraries
  37667. 2022-04-07 16:25:40,987:INFO:Initializing predict_model()
  37668. 2022-04-07 16:25:40,987:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37669. DataTypes_Auto_infer(ml_usecase='classification',
  37670. target='label')),
  37671. ('imputer',
  37672. Simple_Imputer(categorical_strategy='not_available',
  37673. fill_value_categorical=None,
  37674. fill_value_numerical=None,
  37675. numeric_strategy='mean',
  37676. target_variable=None)),
  37677. ('new_levels1',
  37678. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37679. 'frequent',
  37680. targe...
  37681. gamma=0, gpu_id=0, importance_type=None,
  37682. interaction_constraints='', learning_rate=0.005,
  37683. max_delta_step=0, max_depth=128, max_leaves=1024,
  37684. min_child_weight=1, missing=nan,
  37685. monotone_constraints='()', n_estimators=100,
  37686. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37687. random_state=8519, reg_alpha=0, reg_lambda=1,
  37688. scale_pos_weight=1, subsample=1,
  37689. tree_method='gpu_hist', validate_parameters=1,
  37690. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37691. 2022-04-07 16:25:40,987:INFO:Checking exceptions
  37692. 2022-04-07 16:25:40,987:INFO:Preloading libraries
  37693. 2022-04-07 16:25:49,208:INFO:Initializing predict_model()
  37694. 2022-04-07 16:25:49,208:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37695. DataTypes_Auto_infer(ml_usecase='classification',
  37696. target='label')),
  37697. ('imputer',
  37698. Simple_Imputer(categorical_strategy='not_available',
  37699. fill_value_categorical=None,
  37700. fill_value_numerical=None,
  37701. numeric_strategy='mean',
  37702. target_variable=None)),
  37703. ('new_levels1',
  37704. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37705. 'frequent',
  37706. targe...
  37707. gamma=0, gpu_id=0, importance_type=None,
  37708. interaction_constraints='', learning_rate=0.005,
  37709. max_delta_step=0, max_depth=128, max_leaves=1024,
  37710. min_child_weight=1, missing=nan,
  37711. monotone_constraints='()', n_estimators=100,
  37712. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37713. random_state=8519, reg_alpha=0, reg_lambda=1,
  37714. scale_pos_weight=1, subsample=1,
  37715. tree_method='gpu_hist', validate_parameters=1,
  37716. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37717. 2022-04-07 16:25:49,208:INFO:Checking exceptions
  37718. 2022-04-07 16:25:49,208:INFO:Preloading libraries
  37719. 2022-04-07 16:26:16,397:INFO:Initializing predict_model()
  37720. 2022-04-07 16:26:16,397:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37721. DataTypes_Auto_infer(ml_usecase='classification',
  37722. target='label')),
  37723. ('imputer',
  37724. Simple_Imputer(categorical_strategy='not_available',
  37725. fill_value_categorical=None,
  37726. fill_value_numerical=None,
  37727. numeric_strategy='mean',
  37728. target_variable=None)),
  37729. ('new_levels1',
  37730. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37731. 'frequent',
  37732. targe...
  37733. gamma=0, gpu_id=0, importance_type=None,
  37734. interaction_constraints='', learning_rate=0.005,
  37735. max_delta_step=0, max_depth=128, max_leaves=1024,
  37736. min_child_weight=1, missing=nan,
  37737. monotone_constraints='()', n_estimators=100,
  37738. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37739. random_state=8519, reg_alpha=0, reg_lambda=1,
  37740. scale_pos_weight=1, subsample=1,
  37741. tree_method='gpu_hist', validate_parameters=1,
  37742. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37743. 2022-04-07 16:26:16,397:INFO:Checking exceptions
  37744. 2022-04-07 16:26:16,397:INFO:Preloading libraries
  37745. 2022-04-07 16:26:20,150:INFO:Initializing predict_model()
  37746. 2022-04-07 16:26:20,150:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37747. DataTypes_Auto_infer(ml_usecase='classification',
  37748. target='label')),
  37749. ('imputer',
  37750. Simple_Imputer(categorical_strategy='not_available',
  37751. fill_value_categorical=None,
  37752. fill_value_numerical=None,
  37753. numeric_strategy='mean',
  37754. target_variable=None)),
  37755. ('new_levels1',
  37756. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37757. 'frequent',
  37758. targe...
  37759. gamma=0, gpu_id=0, importance_type=None,
  37760. interaction_constraints='', learning_rate=0.005,
  37761. max_delta_step=0, max_depth=128, max_leaves=1024,
  37762. min_child_weight=1, missing=nan,
  37763. monotone_constraints='()', n_estimators=100,
  37764. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37765. random_state=8519, reg_alpha=0, reg_lambda=1,
  37766. scale_pos_weight=1, subsample=1,
  37767. tree_method='gpu_hist', validate_parameters=1,
  37768. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37769. 2022-04-07 16:26:20,150:INFO:Checking exceptions
  37770. 2022-04-07 16:26:20,150:INFO:Preloading libraries
  37771. 2022-04-07 16:27:11,757:INFO:Initializing predict_model()
  37772. 2022-04-07 16:27:11,757:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37773. DataTypes_Auto_infer(ml_usecase='classification',
  37774. target='label')),
  37775. ('imputer',
  37776. Simple_Imputer(categorical_strategy='not_available',
  37777. fill_value_categorical=None,
  37778. fill_value_numerical=None,
  37779. numeric_strategy='mean',
  37780. target_variable=None)),
  37781. ('new_levels1',
  37782. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37783. 'frequent',
  37784. targe...
  37785. gamma=0, gpu_id=0, importance_type=None,
  37786. interaction_constraints='', learning_rate=0.005,
  37787. max_delta_step=0, max_depth=128, max_leaves=1024,
  37788. min_child_weight=1, missing=nan,
  37789. monotone_constraints='()', n_estimators=100,
  37790. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37791. random_state=8519, reg_alpha=0, reg_lambda=1,
  37792. scale_pos_weight=1, subsample=1,
  37793. tree_method='gpu_hist', validate_parameters=1,
  37794. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37795. 2022-04-07 16:27:11,757:INFO:Checking exceptions
  37796. 2022-04-07 16:27:11,757:INFO:Preloading libraries
  37797. 2022-04-07 16:27:15,670:INFO:Initializing predict_model()
  37798. 2022-04-07 16:27:15,670:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37799. DataTypes_Auto_infer(ml_usecase='classification',
  37800. target='label')),
  37801. ('imputer',
  37802. Simple_Imputer(categorical_strategy='not_available',
  37803. fill_value_categorical=None,
  37804. fill_value_numerical=None,
  37805. numeric_strategy='mean',
  37806. target_variable=None)),
  37807. ('new_levels1',
  37808. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37809. 'frequent',
  37810. targe...
  37811. gamma=0, gpu_id=0, importance_type=None,
  37812. interaction_constraints='', learning_rate=0.005,
  37813. max_delta_step=0, max_depth=128, max_leaves=1024,
  37814. min_child_weight=1, missing=nan,
  37815. monotone_constraints='()', n_estimators=100,
  37816. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37817. random_state=8519, reg_alpha=0, reg_lambda=1,
  37818. scale_pos_weight=1, subsample=1,
  37819. tree_method='gpu_hist', validate_parameters=1,
  37820. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37821. 2022-04-07 16:27:15,670:INFO:Checking exceptions
  37822. 2022-04-07 16:27:15,670:INFO:Preloading libraries
  37823. 2022-04-07 16:27:16,206:INFO:Initializing predict_model()
  37824. 2022-04-07 16:27:16,206:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37825. DataTypes_Auto_infer(ml_usecase='classification',
  37826. target='label')),
  37827. ('imputer',
  37828. Simple_Imputer(categorical_strategy='not_available',
  37829. fill_value_categorical=None,
  37830. fill_value_numerical=None,
  37831. numeric_strategy='mean',
  37832. target_variable=None)),
  37833. ('new_levels1',
  37834. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37835. 'frequent',
  37836. targe...
  37837. gamma=0, gpu_id=0, importance_type=None,
  37838. interaction_constraints='', learning_rate=0.005,
  37839. max_delta_step=0, max_depth=128, max_leaves=1024,
  37840. min_child_weight=1, missing=nan,
  37841. monotone_constraints='()', n_estimators=100,
  37842. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37843. random_state=8519, reg_alpha=0, reg_lambda=1,
  37844. scale_pos_weight=1, subsample=1,
  37845. tree_method='gpu_hist', validate_parameters=1,
  37846. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37847. 2022-04-07 16:27:16,206:INFO:Checking exceptions
  37848. 2022-04-07 16:27:16,206:INFO:Preloading libraries
  37849. 2022-04-07 16:27:35,796:INFO:Initializing predict_model()
  37850. 2022-04-07 16:27:35,796:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37851. DataTypes_Auto_infer(ml_usecase='classification',
  37852. target='label')),
  37853. ('imputer',
  37854. Simple_Imputer(categorical_strategy='not_available',
  37855. fill_value_categorical=None,
  37856. fill_value_numerical=None,
  37857. numeric_strategy='mean',
  37858. target_variable=None)),
  37859. ('new_levels1',
  37860. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37861. 'frequent',
  37862. targe...
  37863. gamma=0, gpu_id=0, importance_type=None,
  37864. interaction_constraints='', learning_rate=0.005,
  37865. max_delta_step=0, max_depth=128, max_leaves=1024,
  37866. min_child_weight=1, missing=nan,
  37867. monotone_constraints='()', n_estimators=100,
  37868. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37869. random_state=8519, reg_alpha=0, reg_lambda=1,
  37870. scale_pos_weight=1, subsample=1,
  37871. tree_method='gpu_hist', validate_parameters=1,
  37872. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37873. 2022-04-07 16:27:35,796:INFO:Checking exceptions
  37874. 2022-04-07 16:27:35,797:INFO:Preloading libraries
  37875. 2022-04-07 16:27:39,778:INFO:Initializing predict_model()
  37876. 2022-04-07 16:27:39,779:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37877. DataTypes_Auto_infer(ml_usecase='classification',
  37878. target='label')),
  37879. ('imputer',
  37880. Simple_Imputer(categorical_strategy='not_available',
  37881. fill_value_categorical=None,
  37882. fill_value_numerical=None,
  37883. numeric_strategy='mean',
  37884. target_variable=None)),
  37885. ('new_levels1',
  37886. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37887. 'frequent',
  37888. targe...
  37889. gamma=0, gpu_id=0, importance_type=None,
  37890. interaction_constraints='', learning_rate=0.005,
  37891. max_delta_step=0, max_depth=128, max_leaves=1024,
  37892. min_child_weight=1, missing=nan,
  37893. monotone_constraints='()', n_estimators=100,
  37894. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37895. random_state=8519, reg_alpha=0, reg_lambda=1,
  37896. scale_pos_weight=1, subsample=1,
  37897. tree_method='gpu_hist', validate_parameters=1,
  37898. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37899. 2022-04-07 16:27:39,779:INFO:Checking exceptions
  37900. 2022-04-07 16:27:39,779:INFO:Preloading libraries
  37901. 2022-04-07 16:27:40,336:INFO:Initializing predict_model()
  37902. 2022-04-07 16:27:40,336:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37903. DataTypes_Auto_infer(ml_usecase='classification',
  37904. target='label')),
  37905. ('imputer',
  37906. Simple_Imputer(categorical_strategy='not_available',
  37907. fill_value_categorical=None,
  37908. fill_value_numerical=None,
  37909. numeric_strategy='mean',
  37910. target_variable=None)),
  37911. ('new_levels1',
  37912. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37913. 'frequent',
  37914. targe...
  37915. gamma=0, gpu_id=0, importance_type=None,
  37916. interaction_constraints='', learning_rate=0.005,
  37917. max_delta_step=0, max_depth=128, max_leaves=1024,
  37918. min_child_weight=1, missing=nan,
  37919. monotone_constraints='()', n_estimators=100,
  37920. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37921. random_state=8519, reg_alpha=0, reg_lambda=1,
  37922. scale_pos_weight=1, subsample=1,
  37923. tree_method='gpu_hist', validate_parameters=1,
  37924. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37925. 2022-04-07 16:27:40,336:INFO:Checking exceptions
  37926. 2022-04-07 16:27:40,336:INFO:Preloading libraries
  37927. 2022-04-07 16:28:22,464:INFO:Initializing predict_model()
  37928. 2022-04-07 16:28:22,464:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37929. DataTypes_Auto_infer(ml_usecase='classification',
  37930. target='label')),
  37931. ('imputer',
  37932. Simple_Imputer(categorical_strategy='not_available',
  37933. fill_value_categorical=None,
  37934. fill_value_numerical=None,
  37935. numeric_strategy='mean',
  37936. target_variable=None)),
  37937. ('new_levels1',
  37938. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37939. 'frequent',
  37940. targe...
  37941. gamma=0, gpu_id=0, importance_type=None,
  37942. interaction_constraints='', learning_rate=0.005,
  37943. max_delta_step=0, max_depth=128, max_leaves=1024,
  37944. min_child_weight=1, missing=nan,
  37945. monotone_constraints='()', n_estimators=100,
  37946. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37947. random_state=8519, reg_alpha=0, reg_lambda=1,
  37948. scale_pos_weight=1, subsample=1,
  37949. tree_method='gpu_hist', validate_parameters=1,
  37950. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37951. 2022-04-07 16:28:22,464:INFO:Checking exceptions
  37952. 2022-04-07 16:28:22,464:INFO:Preloading libraries
  37953. 2022-04-07 16:28:29,875:INFO:Initializing predict_model()
  37954. 2022-04-07 16:28:29,875:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37955. DataTypes_Auto_infer(ml_usecase='classification',
  37956. target='label')),
  37957. ('imputer',
  37958. Simple_Imputer(categorical_strategy='not_available',
  37959. fill_value_categorical=None,
  37960. fill_value_numerical=None,
  37961. numeric_strategy='mean',
  37962. target_variable=None)),
  37963. ('new_levels1',
  37964. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37965. 'frequent',
  37966. targe...
  37967. gamma=0, gpu_id=0, importance_type=None,
  37968. interaction_constraints='', learning_rate=0.005,
  37969. max_delta_step=0, max_depth=128, max_leaves=1024,
  37970. min_child_weight=1, missing=nan,
  37971. monotone_constraints='()', n_estimators=100,
  37972. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37973. random_state=8519, reg_alpha=0, reg_lambda=1,
  37974. scale_pos_weight=1, subsample=1,
  37975. tree_method='gpu_hist', validate_parameters=1,
  37976. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  37977. 2022-04-07 16:28:29,875:INFO:Checking exceptions
  37978. 2022-04-07 16:28:29,875:INFO:Preloading libraries
  37979. 2022-04-07 16:28:31,568:INFO:Initializing predict_model()
  37980. 2022-04-07 16:28:31,568:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  37981. DataTypes_Auto_infer(ml_usecase='classification',
  37982. target='label')),
  37983. ('imputer',
  37984. Simple_Imputer(categorical_strategy='not_available',
  37985. fill_value_categorical=None,
  37986. fill_value_numerical=None,
  37987. numeric_strategy='mean',
  37988. target_variable=None)),
  37989. ('new_levels1',
  37990. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  37991. 'frequent',
  37992. targe...
  37993. gamma=0, gpu_id=0, importance_type=None,
  37994. interaction_constraints='', learning_rate=0.005,
  37995. max_delta_step=0, max_depth=128, max_leaves=1024,
  37996. min_child_weight=1, missing=nan,
  37997. monotone_constraints='()', n_estimators=100,
  37998. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  37999. random_state=8519, reg_alpha=0, reg_lambda=1,
  38000. scale_pos_weight=1, subsample=1,
  38001. tree_method='gpu_hist', validate_parameters=1,
  38002. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38003. 2022-04-07 16:28:31,568:INFO:Checking exceptions
  38004. 2022-04-07 16:28:31,568:INFO:Preloading libraries
  38005. 2022-04-07 16:35:12,071:INFO:Initializing load_model()
  38006. 2022-04-07 16:35:12,072:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  38007. 2022-04-07 16:38:05,643:INFO:Initializing predict_model()
  38008. 2022-04-07 16:38:05,643:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38009. DataTypes_Auto_infer(ml_usecase='classification',
  38010. target='label')),
  38011. ('imputer',
  38012. Simple_Imputer(categorical_strategy='not_available',
  38013. fill_value_categorical=None,
  38014. fill_value_numerical=None,
  38015. numeric_strategy='mean',
  38016. target_variable=None)),
  38017. ('new_levels1',
  38018. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38019. 'frequent',
  38020. targe...
  38021. gamma=0, gpu_id=0, importance_type=None,
  38022. interaction_constraints='', learning_rate=0.005,
  38023. max_delta_step=0, max_depth=128, max_leaves=1024,
  38024. min_child_weight=1, missing=nan,
  38025. monotone_constraints='()', n_estimators=100,
  38026. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38027. random_state=8519, reg_alpha=0, reg_lambda=1,
  38028. scale_pos_weight=1, subsample=1,
  38029. tree_method='gpu_hist', validate_parameters=1,
  38030. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38031. 2022-04-07 16:38:05,643:INFO:Checking exceptions
  38032. 2022-04-07 16:38:05,643:INFO:Preloading libraries
  38033. 2022-04-07 16:38:13,148:INFO:Initializing predict_model()
  38034. 2022-04-07 16:38:13,148:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38035. DataTypes_Auto_infer(ml_usecase='classification',
  38036. target='label')),
  38037. ('imputer',
  38038. Simple_Imputer(categorical_strategy='not_available',
  38039. fill_value_categorical=None,
  38040. fill_value_numerical=None,
  38041. numeric_strategy='mean',
  38042. target_variable=None)),
  38043. ('new_levels1',
  38044. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38045. 'frequent',
  38046. targe...
  38047. gamma=0, gpu_id=0, importance_type=None,
  38048. interaction_constraints='', learning_rate=0.005,
  38049. max_delta_step=0, max_depth=128, max_leaves=1024,
  38050. min_child_weight=1, missing=nan,
  38051. monotone_constraints='()', n_estimators=100,
  38052. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38053. random_state=8519, reg_alpha=0, reg_lambda=1,
  38054. scale_pos_weight=1, subsample=1,
  38055. tree_method='gpu_hist', validate_parameters=1,
  38056. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38057. 2022-04-07 16:38:13,148:INFO:Checking exceptions
  38058. 2022-04-07 16:38:13,148:INFO:Preloading libraries
  38059. 2022-04-07 16:38:42,606:INFO:Initializing predict_model()
  38060. 2022-04-07 16:38:42,606:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38061. DataTypes_Auto_infer(ml_usecase='classification',
  38062. target='label')),
  38063. ('imputer',
  38064. Simple_Imputer(categorical_strategy='not_available',
  38065. fill_value_categorical=None,
  38066. fill_value_numerical=None,
  38067. numeric_strategy='mean',
  38068. target_variable=None)),
  38069. ('new_levels1',
  38070. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38071. 'frequent',
  38072. targe...
  38073. gamma=0, gpu_id=0, importance_type=None,
  38074. interaction_constraints='', learning_rate=0.005,
  38075. max_delta_step=0, max_depth=128, max_leaves=1024,
  38076. min_child_weight=1, missing=nan,
  38077. monotone_constraints='()', n_estimators=100,
  38078. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38079. random_state=8519, reg_alpha=0, reg_lambda=1,
  38080. scale_pos_weight=1, subsample=1,
  38081. tree_method='gpu_hist', validate_parameters=1,
  38082. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38083. 2022-04-07 16:38:42,606:INFO:Checking exceptions
  38084. 2022-04-07 16:38:42,606:INFO:Preloading libraries
  38085. 2022-04-07 16:38:44,766:INFO:Initializing predict_model()
  38086. 2022-04-07 16:38:44,767:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38087. DataTypes_Auto_infer(ml_usecase='classification',
  38088. target='label')),
  38089. ('imputer',
  38090. Simple_Imputer(categorical_strategy='not_available',
  38091. fill_value_categorical=None,
  38092. fill_value_numerical=None,
  38093. numeric_strategy='mean',
  38094. target_variable=None)),
  38095. ('new_levels1',
  38096. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38097. 'frequent',
  38098. targe...
  38099. gamma=0, gpu_id=0, importance_type=None,
  38100. interaction_constraints='', learning_rate=0.005,
  38101. max_delta_step=0, max_depth=128, max_leaves=1024,
  38102. min_child_weight=1, missing=nan,
  38103. monotone_constraints='()', n_estimators=100,
  38104. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38105. random_state=8519, reg_alpha=0, reg_lambda=1,
  38106. scale_pos_weight=1, subsample=1,
  38107. tree_method='gpu_hist', validate_parameters=1,
  38108. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38109. 2022-04-07 16:38:44,767:INFO:Checking exceptions
  38110. 2022-04-07 16:38:44,767:INFO:Preloading libraries
  38111. 2022-04-07 16:38:46,927:INFO:Initializing predict_model()
  38112. 2022-04-07 16:38:46,927:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38113. DataTypes_Auto_infer(ml_usecase='classification',
  38114. target='label')),
  38115. ('imputer',
  38116. Simple_Imputer(categorical_strategy='not_available',
  38117. fill_value_categorical=None,
  38118. fill_value_numerical=None,
  38119. numeric_strategy='mean',
  38120. target_variable=None)),
  38121. ('new_levels1',
  38122. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38123. 'frequent',
  38124. targe...
  38125. gamma=0, gpu_id=0, importance_type=None,
  38126. interaction_constraints='', learning_rate=0.005,
  38127. max_delta_step=0, max_depth=128, max_leaves=1024,
  38128. min_child_weight=1, missing=nan,
  38129. monotone_constraints='()', n_estimators=100,
  38130. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38131. random_state=8519, reg_alpha=0, reg_lambda=1,
  38132. scale_pos_weight=1, subsample=1,
  38133. tree_method='gpu_hist', validate_parameters=1,
  38134. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38135. 2022-04-07 16:38:46,927:INFO:Checking exceptions
  38136. 2022-04-07 16:38:46,928:INFO:Preloading libraries
  38137. 2022-04-07 16:38:49,086:INFO:Initializing predict_model()
  38138. 2022-04-07 16:38:49,086:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38139. DataTypes_Auto_infer(ml_usecase='classification',
  38140. target='label')),
  38141. ('imputer',
  38142. Simple_Imputer(categorical_strategy='not_available',
  38143. fill_value_categorical=None,
  38144. fill_value_numerical=None,
  38145. numeric_strategy='mean',
  38146. target_variable=None)),
  38147. ('new_levels1',
  38148. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38149. 'frequent',
  38150. targe...
  38151. gamma=0, gpu_id=0, importance_type=None,
  38152. interaction_constraints='', learning_rate=0.005,
  38153. max_delta_step=0, max_depth=128, max_leaves=1024,
  38154. min_child_weight=1, missing=nan,
  38155. monotone_constraints='()', n_estimators=100,
  38156. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38157. random_state=8519, reg_alpha=0, reg_lambda=1,
  38158. scale_pos_weight=1, subsample=1,
  38159. tree_method='gpu_hist', validate_parameters=1,
  38160. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38161. 2022-04-07 16:38:49,086:INFO:Checking exceptions
  38162. 2022-04-07 16:38:49,086:INFO:Preloading libraries
  38163. 2022-04-07 16:38:51,248:INFO:Initializing predict_model()
  38164. 2022-04-07 16:38:51,248:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38165. DataTypes_Auto_infer(ml_usecase='classification',
  38166. target='label')),
  38167. ('imputer',
  38168. Simple_Imputer(categorical_strategy='not_available',
  38169. fill_value_categorical=None,
  38170. fill_value_numerical=None,
  38171. numeric_strategy='mean',
  38172. target_variable=None)),
  38173. ('new_levels1',
  38174. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38175. 'frequent',
  38176. targe...
  38177. gamma=0, gpu_id=0, importance_type=None,
  38178. interaction_constraints='', learning_rate=0.005,
  38179. max_delta_step=0, max_depth=128, max_leaves=1024,
  38180. min_child_weight=1, missing=nan,
  38181. monotone_constraints='()', n_estimators=100,
  38182. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38183. random_state=8519, reg_alpha=0, reg_lambda=1,
  38184. scale_pos_weight=1, subsample=1,
  38185. tree_method='gpu_hist', validate_parameters=1,
  38186. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38187. 2022-04-07 16:38:51,248:INFO:Checking exceptions
  38188. 2022-04-07 16:38:51,248:INFO:Preloading libraries
  38189. 2022-04-07 16:38:53,392:INFO:Initializing predict_model()
  38190. 2022-04-07 16:38:53,392:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38191. DataTypes_Auto_infer(ml_usecase='classification',
  38192. target='label')),
  38193. ('imputer',
  38194. Simple_Imputer(categorical_strategy='not_available',
  38195. fill_value_categorical=None,
  38196. fill_value_numerical=None,
  38197. numeric_strategy='mean',
  38198. target_variable=None)),
  38199. ('new_levels1',
  38200. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38201. 'frequent',
  38202. targe...
  38203. gamma=0, gpu_id=0, importance_type=None,
  38204. interaction_constraints='', learning_rate=0.005,
  38205. max_delta_step=0, max_depth=128, max_leaves=1024,
  38206. min_child_weight=1, missing=nan,
  38207. monotone_constraints='()', n_estimators=100,
  38208. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38209. random_state=8519, reg_alpha=0, reg_lambda=1,
  38210. scale_pos_weight=1, subsample=1,
  38211. tree_method='gpu_hist', validate_parameters=1,
  38212. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38213. 2022-04-07 16:38:53,393:INFO:Checking exceptions
  38214. 2022-04-07 16:38:53,393:INFO:Preloading libraries
  38215. 2022-04-07 16:38:55,551:INFO:Initializing predict_model()
  38216. 2022-04-07 16:38:55,551:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38217. DataTypes_Auto_infer(ml_usecase='classification',
  38218. target='label')),
  38219. ('imputer',
  38220. Simple_Imputer(categorical_strategy='not_available',
  38221. fill_value_categorical=None,
  38222. fill_value_numerical=None,
  38223. numeric_strategy='mean',
  38224. target_variable=None)),
  38225. ('new_levels1',
  38226. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38227. 'frequent',
  38228. targe...
  38229. gamma=0, gpu_id=0, importance_type=None,
  38230. interaction_constraints='', learning_rate=0.005,
  38231. max_delta_step=0, max_depth=128, max_leaves=1024,
  38232. min_child_weight=1, missing=nan,
  38233. monotone_constraints='()', n_estimators=100,
  38234. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38235. random_state=8519, reg_alpha=0, reg_lambda=1,
  38236. scale_pos_weight=1, subsample=1,
  38237. tree_method='gpu_hist', validate_parameters=1,
  38238. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38239. 2022-04-07 16:38:55,551:INFO:Checking exceptions
  38240. 2022-04-07 16:38:55,551:INFO:Preloading libraries
  38241. 2022-04-07 16:38:57,695:INFO:Initializing predict_model()
  38242. 2022-04-07 16:38:57,696:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38243. DataTypes_Auto_infer(ml_usecase='classification',
  38244. target='label')),
  38245. ('imputer',
  38246. Simple_Imputer(categorical_strategy='not_available',
  38247. fill_value_categorical=None,
  38248. fill_value_numerical=None,
  38249. numeric_strategy='mean',
  38250. target_variable=None)),
  38251. ('new_levels1',
  38252. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38253. 'frequent',
  38254. targe...
  38255. gamma=0, gpu_id=0, importance_type=None,
  38256. interaction_constraints='', learning_rate=0.005,
  38257. max_delta_step=0, max_depth=128, max_leaves=1024,
  38258. min_child_weight=1, missing=nan,
  38259. monotone_constraints='()', n_estimators=100,
  38260. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38261. random_state=8519, reg_alpha=0, reg_lambda=1,
  38262. scale_pos_weight=1, subsample=1,
  38263. tree_method='gpu_hist', validate_parameters=1,
  38264. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38265. 2022-04-07 16:38:57,696:INFO:Checking exceptions
  38266. 2022-04-07 16:38:57,696:INFO:Preloading libraries
  38267. 2022-04-07 16:38:59,855:INFO:Initializing predict_model()
  38268. 2022-04-07 16:38:59,855:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38269. DataTypes_Auto_infer(ml_usecase='classification',
  38270. target='label')),
  38271. ('imputer',
  38272. Simple_Imputer(categorical_strategy='not_available',
  38273. fill_value_categorical=None,
  38274. fill_value_numerical=None,
  38275. numeric_strategy='mean',
  38276. target_variable=None)),
  38277. ('new_levels1',
  38278. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38279. 'frequent',
  38280. targe...
  38281. gamma=0, gpu_id=0, importance_type=None,
  38282. interaction_constraints='', learning_rate=0.005,
  38283. max_delta_step=0, max_depth=128, max_leaves=1024,
  38284. min_child_weight=1, missing=nan,
  38285. monotone_constraints='()', n_estimators=100,
  38286. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38287. random_state=8519, reg_alpha=0, reg_lambda=1,
  38288. scale_pos_weight=1, subsample=1,
  38289. tree_method='gpu_hist', validate_parameters=1,
  38290. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38291. 2022-04-07 16:38:59,855:INFO:Checking exceptions
  38292. 2022-04-07 16:38:59,855:INFO:Preloading libraries
  38293. 2022-04-07 16:39:02,026:INFO:Initializing predict_model()
  38294. 2022-04-07 16:39:02,026:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38295. DataTypes_Auto_infer(ml_usecase='classification',
  38296. target='label')),
  38297. ('imputer',
  38298. Simple_Imputer(categorical_strategy='not_available',
  38299. fill_value_categorical=None,
  38300. fill_value_numerical=None,
  38301. numeric_strategy='mean',
  38302. target_variable=None)),
  38303. ('new_levels1',
  38304. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38305. 'frequent',
  38306. targe...
  38307. gamma=0, gpu_id=0, importance_type=None,
  38308. interaction_constraints='', learning_rate=0.005,
  38309. max_delta_step=0, max_depth=128, max_leaves=1024,
  38310. min_child_weight=1, missing=nan,
  38311. monotone_constraints='()', n_estimators=100,
  38312. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38313. random_state=8519, reg_alpha=0, reg_lambda=1,
  38314. scale_pos_weight=1, subsample=1,
  38315. tree_method='gpu_hist', validate_parameters=1,
  38316. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38317. 2022-04-07 16:39:02,026:INFO:Checking exceptions
  38318. 2022-04-07 16:39:02,026:INFO:Preloading libraries
  38319. 2022-04-07 16:40:09,718:INFO:Initializing predict_model()
  38320. 2022-04-07 16:40:09,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38321. DataTypes_Auto_infer(ml_usecase='classification',
  38322. target='label')),
  38323. ('imputer',
  38324. Simple_Imputer(categorical_strategy='not_available',
  38325. fill_value_categorical=None,
  38326. fill_value_numerical=None,
  38327. numeric_strategy='mean',
  38328. target_variable=None)),
  38329. ('new_levels1',
  38330. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38331. 'frequent',
  38332. targe...
  38333. gamma=0, gpu_id=0, importance_type=None,
  38334. interaction_constraints='', learning_rate=0.005,
  38335. max_delta_step=0, max_depth=128, max_leaves=1024,
  38336. min_child_weight=1, missing=nan,
  38337. monotone_constraints='()', n_estimators=100,
  38338. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38339. random_state=8519, reg_alpha=0, reg_lambda=1,
  38340. scale_pos_weight=1, subsample=1,
  38341. tree_method='gpu_hist', validate_parameters=1,
  38342. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38343. 2022-04-07 16:40:09,718:INFO:Checking exceptions
  38344. 2022-04-07 16:40:09,718:INFO:Preloading libraries
  38345. 2022-04-07 16:40:11,867:INFO:Initializing predict_model()
  38346. 2022-04-07 16:40:11,867:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38347. DataTypes_Auto_infer(ml_usecase='classification',
  38348. target='label')),
  38349. ('imputer',
  38350. Simple_Imputer(categorical_strategy='not_available',
  38351. fill_value_categorical=None,
  38352. fill_value_numerical=None,
  38353. numeric_strategy='mean',
  38354. target_variable=None)),
  38355. ('new_levels1',
  38356. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38357. 'frequent',
  38358. targe...
  38359. gamma=0, gpu_id=0, importance_type=None,
  38360. interaction_constraints='', learning_rate=0.005,
  38361. max_delta_step=0, max_depth=128, max_leaves=1024,
  38362. min_child_weight=1, missing=nan,
  38363. monotone_constraints='()', n_estimators=100,
  38364. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38365. random_state=8519, reg_alpha=0, reg_lambda=1,
  38366. scale_pos_weight=1, subsample=1,
  38367. tree_method='gpu_hist', validate_parameters=1,
  38368. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38369. 2022-04-07 16:40:11,868:INFO:Checking exceptions
  38370. 2022-04-07 16:40:11,868:INFO:Preloading libraries
  38371. 2022-04-07 16:40:14,015:INFO:Initializing predict_model()
  38372. 2022-04-07 16:40:14,015:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38373. DataTypes_Auto_infer(ml_usecase='classification',
  38374. target='label')),
  38375. ('imputer',
  38376. Simple_Imputer(categorical_strategy='not_available',
  38377. fill_value_categorical=None,
  38378. fill_value_numerical=None,
  38379. numeric_strategy='mean',
  38380. target_variable=None)),
  38381. ('new_levels1',
  38382. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38383. 'frequent',
  38384. targe...
  38385. gamma=0, gpu_id=0, importance_type=None,
  38386. interaction_constraints='', learning_rate=0.005,
  38387. max_delta_step=0, max_depth=128, max_leaves=1024,
  38388. min_child_weight=1, missing=nan,
  38389. monotone_constraints='()', n_estimators=100,
  38390. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38391. random_state=8519, reg_alpha=0, reg_lambda=1,
  38392. scale_pos_weight=1, subsample=1,
  38393. tree_method='gpu_hist', validate_parameters=1,
  38394. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38395. 2022-04-07 16:40:14,015:INFO:Checking exceptions
  38396. 2022-04-07 16:40:14,015:INFO:Preloading libraries
  38397. 2022-04-07 16:40:16,179:INFO:Initializing predict_model()
  38398. 2022-04-07 16:40:16,179:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38399. DataTypes_Auto_infer(ml_usecase='classification',
  38400. target='label')),
  38401. ('imputer',
  38402. Simple_Imputer(categorical_strategy='not_available',
  38403. fill_value_categorical=None,
  38404. fill_value_numerical=None,
  38405. numeric_strategy='mean',
  38406. target_variable=None)),
  38407. ('new_levels1',
  38408. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38409. 'frequent',
  38410. targe...
  38411. gamma=0, gpu_id=0, importance_type=None,
  38412. interaction_constraints='', learning_rate=0.005,
  38413. max_delta_step=0, max_depth=128, max_leaves=1024,
  38414. min_child_weight=1, missing=nan,
  38415. monotone_constraints='()', n_estimators=100,
  38416. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38417. random_state=8519, reg_alpha=0, reg_lambda=1,
  38418. scale_pos_weight=1, subsample=1,
  38419. tree_method='gpu_hist', validate_parameters=1,
  38420. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38421. 2022-04-07 16:40:16,180:INFO:Checking exceptions
  38422. 2022-04-07 16:40:16,180:INFO:Preloading libraries
  38423. 2022-04-07 16:40:18,337:INFO:Initializing predict_model()
  38424. 2022-04-07 16:40:18,338:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38425. DataTypes_Auto_infer(ml_usecase='classification',
  38426. target='label')),
  38427. ('imputer',
  38428. Simple_Imputer(categorical_strategy='not_available',
  38429. fill_value_categorical=None,
  38430. fill_value_numerical=None,
  38431. numeric_strategy='mean',
  38432. target_variable=None)),
  38433. ('new_levels1',
  38434. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38435. 'frequent',
  38436. targe...
  38437. gamma=0, gpu_id=0, importance_type=None,
  38438. interaction_constraints='', learning_rate=0.005,
  38439. max_delta_step=0, max_depth=128, max_leaves=1024,
  38440. min_child_weight=1, missing=nan,
  38441. monotone_constraints='()', n_estimators=100,
  38442. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38443. random_state=8519, reg_alpha=0, reg_lambda=1,
  38444. scale_pos_weight=1, subsample=1,
  38445. tree_method='gpu_hist', validate_parameters=1,
  38446. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38447. 2022-04-07 16:40:18,338:INFO:Checking exceptions
  38448. 2022-04-07 16:40:18,338:INFO:Preloading libraries
  38449. 2022-04-07 16:40:20,480:INFO:Initializing predict_model()
  38450. 2022-04-07 16:40:20,480:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38451. DataTypes_Auto_infer(ml_usecase='classification',
  38452. target='label')),
  38453. ('imputer',
  38454. Simple_Imputer(categorical_strategy='not_available',
  38455. fill_value_categorical=None,
  38456. fill_value_numerical=None,
  38457. numeric_strategy='mean',
  38458. target_variable=None)),
  38459. ('new_levels1',
  38460. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38461. 'frequent',
  38462. targe...
  38463. gamma=0, gpu_id=0, importance_type=None,
  38464. interaction_constraints='', learning_rate=0.005,
  38465. max_delta_step=0, max_depth=128, max_leaves=1024,
  38466. min_child_weight=1, missing=nan,
  38467. monotone_constraints='()', n_estimators=100,
  38468. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38469. random_state=8519, reg_alpha=0, reg_lambda=1,
  38470. scale_pos_weight=1, subsample=1,
  38471. tree_method='gpu_hist', validate_parameters=1,
  38472. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38473. 2022-04-07 16:40:20,480:INFO:Checking exceptions
  38474. 2022-04-07 16:40:20,480:INFO:Preloading libraries
  38475. 2022-04-07 16:40:22,629:INFO:Initializing predict_model()
  38476. 2022-04-07 16:40:22,630:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38477. DataTypes_Auto_infer(ml_usecase='classification',
  38478. target='label')),
  38479. ('imputer',
  38480. Simple_Imputer(categorical_strategy='not_available',
  38481. fill_value_categorical=None,
  38482. fill_value_numerical=None,
  38483. numeric_strategy='mean',
  38484. target_variable=None)),
  38485. ('new_levels1',
  38486. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38487. 'frequent',
  38488. targe...
  38489. gamma=0, gpu_id=0, importance_type=None,
  38490. interaction_constraints='', learning_rate=0.005,
  38491. max_delta_step=0, max_depth=128, max_leaves=1024,
  38492. min_child_weight=1, missing=nan,
  38493. monotone_constraints='()', n_estimators=100,
  38494. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38495. random_state=8519, reg_alpha=0, reg_lambda=1,
  38496. scale_pos_weight=1, subsample=1,
  38497. tree_method='gpu_hist', validate_parameters=1,
  38498. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38499. 2022-04-07 16:40:22,630:INFO:Checking exceptions
  38500. 2022-04-07 16:40:22,630:INFO:Preloading libraries
  38501. 2022-04-07 16:40:24,779:INFO:Initializing predict_model()
  38502. 2022-04-07 16:40:24,779:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38503. DataTypes_Auto_infer(ml_usecase='classification',
  38504. target='label')),
  38505. ('imputer',
  38506. Simple_Imputer(categorical_strategy='not_available',
  38507. fill_value_categorical=None,
  38508. fill_value_numerical=None,
  38509. numeric_strategy='mean',
  38510. target_variable=None)),
  38511. ('new_levels1',
  38512. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38513. 'frequent',
  38514. targe...
  38515. gamma=0, gpu_id=0, importance_type=None,
  38516. interaction_constraints='', learning_rate=0.005,
  38517. max_delta_step=0, max_depth=128, max_leaves=1024,
  38518. min_child_weight=1, missing=nan,
  38519. monotone_constraints='()', n_estimators=100,
  38520. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38521. random_state=8519, reg_alpha=0, reg_lambda=1,
  38522. scale_pos_weight=1, subsample=1,
  38523. tree_method='gpu_hist', validate_parameters=1,
  38524. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38525. 2022-04-07 16:40:24,779:INFO:Checking exceptions
  38526. 2022-04-07 16:40:24,779:INFO:Preloading libraries
  38527. 2022-04-07 16:40:26,943:INFO:Initializing predict_model()
  38528. 2022-04-07 16:40:26,943:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38529. DataTypes_Auto_infer(ml_usecase='classification',
  38530. target='label')),
  38531. ('imputer',
  38532. Simple_Imputer(categorical_strategy='not_available',
  38533. fill_value_categorical=None,
  38534. fill_value_numerical=None,
  38535. numeric_strategy='mean',
  38536. target_variable=None)),
  38537. ('new_levels1',
  38538. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38539. 'frequent',
  38540. targe...
  38541. gamma=0, gpu_id=0, importance_type=None,
  38542. interaction_constraints='', learning_rate=0.005,
  38543. max_delta_step=0, max_depth=128, max_leaves=1024,
  38544. min_child_weight=1, missing=nan,
  38545. monotone_constraints='()', n_estimators=100,
  38546. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38547. random_state=8519, reg_alpha=0, reg_lambda=1,
  38548. scale_pos_weight=1, subsample=1,
  38549. tree_method='gpu_hist', validate_parameters=1,
  38550. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38551. 2022-04-07 16:40:26,943:INFO:Checking exceptions
  38552. 2022-04-07 16:40:26,943:INFO:Preloading libraries
  38553. 2022-04-07 16:40:29,086:INFO:Initializing predict_model()
  38554. 2022-04-07 16:40:29,086:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38555. DataTypes_Auto_infer(ml_usecase='classification',
  38556. target='label')),
  38557. ('imputer',
  38558. Simple_Imputer(categorical_strategy='not_available',
  38559. fill_value_categorical=None,
  38560. fill_value_numerical=None,
  38561. numeric_strategy='mean',
  38562. target_variable=None)),
  38563. ('new_levels1',
  38564. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38565. 'frequent',
  38566. targe...
  38567. gamma=0, gpu_id=0, importance_type=None,
  38568. interaction_constraints='', learning_rate=0.005,
  38569. max_delta_step=0, max_depth=128, max_leaves=1024,
  38570. min_child_weight=1, missing=nan,
  38571. monotone_constraints='()', n_estimators=100,
  38572. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38573. random_state=8519, reg_alpha=0, reg_lambda=1,
  38574. scale_pos_weight=1, subsample=1,
  38575. tree_method='gpu_hist', validate_parameters=1,
  38576. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38577. 2022-04-07 16:40:29,086:INFO:Checking exceptions
  38578. 2022-04-07 16:40:29,086:INFO:Preloading libraries
  38579. 2022-04-07 16:40:57,487:INFO:Initializing predict_model()
  38580. 2022-04-07 16:40:57,488:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38581. DataTypes_Auto_infer(ml_usecase='classification',
  38582. target='label')),
  38583. ('imputer',
  38584. Simple_Imputer(categorical_strategy='not_available',
  38585. fill_value_categorical=None,
  38586. fill_value_numerical=None,
  38587. numeric_strategy='mean',
  38588. target_variable=None)),
  38589. ('new_levels1',
  38590. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38591. 'frequent',
  38592. targe...
  38593. gamma=0, gpu_id=0, importance_type=None,
  38594. interaction_constraints='', learning_rate=0.005,
  38595. max_delta_step=0, max_depth=128, max_leaves=1024,
  38596. min_child_weight=1, missing=nan,
  38597. monotone_constraints='()', n_estimators=100,
  38598. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38599. random_state=8519, reg_alpha=0, reg_lambda=1,
  38600. scale_pos_weight=1, subsample=1,
  38601. tree_method='gpu_hist', validate_parameters=1,
  38602. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38603. 2022-04-07 16:40:57,488:INFO:Checking exceptions
  38604. 2022-04-07 16:40:57,488:INFO:Preloading libraries
  38605. 2022-04-07 16:40:59,634:INFO:Initializing predict_model()
  38606. 2022-04-07 16:40:59,634:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38607. DataTypes_Auto_infer(ml_usecase='classification',
  38608. target='label')),
  38609. ('imputer',
  38610. Simple_Imputer(categorical_strategy='not_available',
  38611. fill_value_categorical=None,
  38612. fill_value_numerical=None,
  38613. numeric_strategy='mean',
  38614. target_variable=None)),
  38615. ('new_levels1',
  38616. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38617. 'frequent',
  38618. targe...
  38619. gamma=0, gpu_id=0, importance_type=None,
  38620. interaction_constraints='', learning_rate=0.005,
  38621. max_delta_step=0, max_depth=128, max_leaves=1024,
  38622. min_child_weight=1, missing=nan,
  38623. monotone_constraints='()', n_estimators=100,
  38624. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38625. random_state=8519, reg_alpha=0, reg_lambda=1,
  38626. scale_pos_weight=1, subsample=1,
  38627. tree_method='gpu_hist', validate_parameters=1,
  38628. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38629. 2022-04-07 16:40:59,634:INFO:Checking exceptions
  38630. 2022-04-07 16:40:59,634:INFO:Preloading libraries
  38631. 2022-04-07 16:41:01,792:INFO:Initializing predict_model()
  38632. 2022-04-07 16:41:01,792:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38633. DataTypes_Auto_infer(ml_usecase='classification',
  38634. target='label')),
  38635. ('imputer',
  38636. Simple_Imputer(categorical_strategy='not_available',
  38637. fill_value_categorical=None,
  38638. fill_value_numerical=None,
  38639. numeric_strategy='mean',
  38640. target_variable=None)),
  38641. ('new_levels1',
  38642. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38643. 'frequent',
  38644. targe...
  38645. gamma=0, gpu_id=0, importance_type=None,
  38646. interaction_constraints='', learning_rate=0.005,
  38647. max_delta_step=0, max_depth=128, max_leaves=1024,
  38648. min_child_weight=1, missing=nan,
  38649. monotone_constraints='()', n_estimators=100,
  38650. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38651. random_state=8519, reg_alpha=0, reg_lambda=1,
  38652. scale_pos_weight=1, subsample=1,
  38653. tree_method='gpu_hist', validate_parameters=1,
  38654. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38655. 2022-04-07 16:41:01,792:INFO:Checking exceptions
  38656. 2022-04-07 16:41:01,792:INFO:Preloading libraries
  38657. 2022-04-07 16:41:03,952:INFO:Initializing predict_model()
  38658. 2022-04-07 16:41:03,952:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38659. DataTypes_Auto_infer(ml_usecase='classification',
  38660. target='label')),
  38661. ('imputer',
  38662. Simple_Imputer(categorical_strategy='not_available',
  38663. fill_value_categorical=None,
  38664. fill_value_numerical=None,
  38665. numeric_strategy='mean',
  38666. target_variable=None)),
  38667. ('new_levels1',
  38668. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38669. 'frequent',
  38670. targe...
  38671. gamma=0, gpu_id=0, importance_type=None,
  38672. interaction_constraints='', learning_rate=0.005,
  38673. max_delta_step=0, max_depth=128, max_leaves=1024,
  38674. min_child_weight=1, missing=nan,
  38675. monotone_constraints='()', n_estimators=100,
  38676. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38677. random_state=8519, reg_alpha=0, reg_lambda=1,
  38678. scale_pos_weight=1, subsample=1,
  38679. tree_method='gpu_hist', validate_parameters=1,
  38680. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38681. 2022-04-07 16:41:03,952:INFO:Checking exceptions
  38682. 2022-04-07 16:41:03,953:INFO:Preloading libraries
  38683. 2022-04-07 16:41:06,105:INFO:Initializing predict_model()
  38684. 2022-04-07 16:41:06,105:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38685. DataTypes_Auto_infer(ml_usecase='classification',
  38686. target='label')),
  38687. ('imputer',
  38688. Simple_Imputer(categorical_strategy='not_available',
  38689. fill_value_categorical=None,
  38690. fill_value_numerical=None,
  38691. numeric_strategy='mean',
  38692. target_variable=None)),
  38693. ('new_levels1',
  38694. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38695. 'frequent',
  38696. targe...
  38697. gamma=0, gpu_id=0, importance_type=None,
  38698. interaction_constraints='', learning_rate=0.005,
  38699. max_delta_step=0, max_depth=128, max_leaves=1024,
  38700. min_child_weight=1, missing=nan,
  38701. monotone_constraints='()', n_estimators=100,
  38702. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38703. random_state=8519, reg_alpha=0, reg_lambda=1,
  38704. scale_pos_weight=1, subsample=1,
  38705. tree_method='gpu_hist', validate_parameters=1,
  38706. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38707. 2022-04-07 16:41:06,105:INFO:Checking exceptions
  38708. 2022-04-07 16:41:06,105:INFO:Preloading libraries
  38709. 2022-04-07 16:41:08,254:INFO:Initializing predict_model()
  38710. 2022-04-07 16:41:08,255:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38711. DataTypes_Auto_infer(ml_usecase='classification',
  38712. target='label')),
  38713. ('imputer',
  38714. Simple_Imputer(categorical_strategy='not_available',
  38715. fill_value_categorical=None,
  38716. fill_value_numerical=None,
  38717. numeric_strategy='mean',
  38718. target_variable=None)),
  38719. ('new_levels1',
  38720. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38721. 'frequent',
  38722. targe...
  38723. gamma=0, gpu_id=0, importance_type=None,
  38724. interaction_constraints='', learning_rate=0.005,
  38725. max_delta_step=0, max_depth=128, max_leaves=1024,
  38726. min_child_weight=1, missing=nan,
  38727. monotone_constraints='()', n_estimators=100,
  38728. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38729. random_state=8519, reg_alpha=0, reg_lambda=1,
  38730. scale_pos_weight=1, subsample=1,
  38731. tree_method='gpu_hist', validate_parameters=1,
  38732. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38733. 2022-04-07 16:41:08,255:INFO:Checking exceptions
  38734. 2022-04-07 16:41:08,255:INFO:Preloading libraries
  38735. 2022-04-07 16:41:10,415:INFO:Initializing predict_model()
  38736. 2022-04-07 16:41:10,415:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38737. DataTypes_Auto_infer(ml_usecase='classification',
  38738. target='label')),
  38739. ('imputer',
  38740. Simple_Imputer(categorical_strategy='not_available',
  38741. fill_value_categorical=None,
  38742. fill_value_numerical=None,
  38743. numeric_strategy='mean',
  38744. target_variable=None)),
  38745. ('new_levels1',
  38746. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38747. 'frequent',
  38748. targe...
  38749. gamma=0, gpu_id=0, importance_type=None,
  38750. interaction_constraints='', learning_rate=0.005,
  38751. max_delta_step=0, max_depth=128, max_leaves=1024,
  38752. min_child_weight=1, missing=nan,
  38753. monotone_constraints='()', n_estimators=100,
  38754. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38755. random_state=8519, reg_alpha=0, reg_lambda=1,
  38756. scale_pos_weight=1, subsample=1,
  38757. tree_method='gpu_hist', validate_parameters=1,
  38758. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38759. 2022-04-07 16:41:10,415:INFO:Checking exceptions
  38760. 2022-04-07 16:41:10,415:INFO:Preloading libraries
  38761. 2022-04-07 16:41:12,563:INFO:Initializing predict_model()
  38762. 2022-04-07 16:41:12,563:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38763. DataTypes_Auto_infer(ml_usecase='classification',
  38764. target='label')),
  38765. ('imputer',
  38766. Simple_Imputer(categorical_strategy='not_available',
  38767. fill_value_categorical=None,
  38768. fill_value_numerical=None,
  38769. numeric_strategy='mean',
  38770. target_variable=None)),
  38771. ('new_levels1',
  38772. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38773. 'frequent',
  38774. targe...
  38775. gamma=0, gpu_id=0, importance_type=None,
  38776. interaction_constraints='', learning_rate=0.005,
  38777. max_delta_step=0, max_depth=128, max_leaves=1024,
  38778. min_child_weight=1, missing=nan,
  38779. monotone_constraints='()', n_estimators=100,
  38780. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38781. random_state=8519, reg_alpha=0, reg_lambda=1,
  38782. scale_pos_weight=1, subsample=1,
  38783. tree_method='gpu_hist', validate_parameters=1,
  38784. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38785. 2022-04-07 16:41:12,564:INFO:Checking exceptions
  38786. 2022-04-07 16:41:12,564:INFO:Preloading libraries
  38787. 2022-04-07 16:41:14,701:INFO:Initializing predict_model()
  38788. 2022-04-07 16:41:14,701:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38789. DataTypes_Auto_infer(ml_usecase='classification',
  38790. target='label')),
  38791. ('imputer',
  38792. Simple_Imputer(categorical_strategy='not_available',
  38793. fill_value_categorical=None,
  38794. fill_value_numerical=None,
  38795. numeric_strategy='mean',
  38796. target_variable=None)),
  38797. ('new_levels1',
  38798. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38799. 'frequent',
  38800. targe...
  38801. gamma=0, gpu_id=0, importance_type=None,
  38802. interaction_constraints='', learning_rate=0.005,
  38803. max_delta_step=0, max_depth=128, max_leaves=1024,
  38804. min_child_weight=1, missing=nan,
  38805. monotone_constraints='()', n_estimators=100,
  38806. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38807. random_state=8519, reg_alpha=0, reg_lambda=1,
  38808. scale_pos_weight=1, subsample=1,
  38809. tree_method='gpu_hist', validate_parameters=1,
  38810. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38811. 2022-04-07 16:41:14,702:INFO:Checking exceptions
  38812. 2022-04-07 16:41:14,702:INFO:Preloading libraries
  38813. 2022-04-07 16:41:16,845:INFO:Initializing predict_model()
  38814. 2022-04-07 16:41:16,846:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  38815. DataTypes_Auto_infer(ml_usecase='classification',
  38816. target='label')),
  38817. ('imputer',
  38818. Simple_Imputer(categorical_strategy='not_available',
  38819. fill_value_categorical=None,
  38820. fill_value_numerical=None,
  38821. numeric_strategy='mean',
  38822. target_variable=None)),
  38823. ('new_levels1',
  38824. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  38825. 'frequent',
  38826. targe...
  38827. gamma=0, gpu_id=0, importance_type=None,
  38828. interaction_constraints='', learning_rate=0.005,
  38829. max_delta_step=0, max_depth=128, max_leaves=1024,
  38830. min_child_weight=1, missing=nan,
  38831. monotone_constraints='()', n_estimators=100,
  38832. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  38833. random_state=8519, reg_alpha=0, reg_lambda=1,
  38834. scale_pos_weight=1, subsample=1,
  38835. tree_method='gpu_hist', validate_parameters=1,
  38836. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  38837. 2022-04-07 16:41:16,846:INFO:Checking exceptions
  38838. 2022-04-07 16:41:16,846:INFO:Preloading libraries
  38839. 2022-04-07 16:45:12,103:INFO:PyCaret Supervised Module
  38840. 2022-04-07 16:45:12,103:INFO:ML Usecase: classification
  38841. 2022-04-07 16:45:12,104:INFO:version 2.3.6
  38842. 2022-04-07 16:45:12,104:INFO:Initializing setup()
  38843. 2022-04-07 16:45:12,104:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  38844. 2022-04-07 16:45:12,104:INFO:Checking environment
  38845. 2022-04-07 16:45:12,104:INFO:python_version: 3.8.8
  38846. 2022-04-07 16:45:12,105:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  38847. 2022-04-07 16:45:12,105:INFO:machine: x86_64
  38848. 2022-04-07 16:45:12,105:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  38849. 2022-04-07 16:45:12,105:INFO:Memory: svmem(total=33619935232, available=30036160512, percent=10.7, used=2791673856, free=28883050496, active=341831680, inactive=3927244800, buffers=133775360, cached=1811435520, shared=383381504, slab=179208192)
  38850. 2022-04-07 16:45:12,106:INFO:Physical Core: 16
  38851. 2022-04-07 16:45:12,106:INFO:Logical Core: 32
  38852. 2022-04-07 16:45:12,106:INFO:Checking libraries
  38853. 2022-04-07 16:45:12,107:INFO:pd==1.3.0
  38854. 2022-04-07 16:45:12,107:INFO:numpy==1.22.3
  38855. 2022-04-07 16:45:12,107:INFO:sklearn==0.23.2
  38856. 2022-04-07 16:45:12,107:INFO:lightgbm==3.3.2
  38857. 2022-04-07 16:45:12,108:WARNING:catboost not found
  38858. 2022-04-07 16:45:12,178:INFO:xgboost==1.4.2
  38859. 2022-04-07 16:45:12,377:INFO:mlflow==1.22.0
  38860. 2022-04-07 16:45:12,378:INFO:Checking Exceptions
  38861. 2022-04-07 16:45:12,379:INFO:Declaring global variables
  38862. 2022-04-07 16:45:12,380:INFO:USI: 87a4
  38863. 2022-04-07 16:45:12,380:INFO:pycaret_globals: {'y', 'experiment__', '_all_models', '_available_plots', 'data_before_preprocess', 'seed', 'imputation_regressor', 'iterative_imputation_iters_param', '_internal_pipeline', 'fold_groups_param_full', 'transform_target_param', 'fix_imbalance_param', 'y_train', 'fold_generator', 'fold_shuffle_param', 'X_train', 'stratify_param', 'gpu_param', 'fix_imbalance_method_param', 'fold_param', 'display_container', 'html_param', 'create_model_container', 'y_test', 'imputation_classifier', '_ml_usecase', 'logging_param', 'target_param', 'USI', 'pycaret_globals', '_all_metrics', 'X_test', 'exp_name_log', '_all_models_internal', 'fold_groups_param', 'master_model_container', 'transform_target_method_param', 'X', 'n_jobs_param', '_gpu_n_jobs_param', 'log_plots_param', 'prep_pipe'}
  38864. 2022-04-07 16:45:12,380:INFO:Preparing display monitor
  38865. 2022-04-07 16:45:12,380:INFO:Preparing display monitor
  38866. 2022-04-07 16:45:12,391:INFO:Importing libraries
  38867. 2022-04-07 16:45:12,391:INFO:Copying data for preprocessing
  38868. 2022-04-07 16:45:12,398:INFO:Declaring preprocessing parameters
  38869. 2022-04-07 16:45:12,399:WARNING:cuML not found
  38870. 2022-04-07 16:45:12,399:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  38871. 2022-04-07 16:45:12,403:INFO:Creating preprocessing pipeline
  38872. 2022-04-07 16:45:12,440:INFO:Preprocessing pipeline created successfully
  38873. 2022-04-07 16:45:12,440:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  38874. 2022-04-07 16:45:12,440:INFO:Creating global containers
  38875. 2022-04-07 16:45:12,441:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  38876. 2022-04-07 16:45:14,364:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  38877. 2022-04-07 16:45:14,392:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  38878. 2022-04-07 16:45:14,394:WARNING:Couldn't import cuml.MBSGDClassifier
  38879. 2022-04-07 16:45:14,395:WARNING:Couldn't import cuml.svm.SVC
  38880. 2022-04-07 16:45:14,411:WARNING:Couldn't import cuml.linear_model
  38881. 2022-04-07 16:45:14,414:WARNING:Couldn't import cuml.ensemble
  38882. 2022-04-07 16:45:14,441:WARNING:Couldn't import catboost.CatBoostClassifier
  38883. 2022-04-07 16:45:14,443:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  38884. 2022-04-07 16:45:14,473:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  38885. 2022-04-07 16:45:14,474:WARNING:Couldn't import cuml.MBSGDClassifier
  38886. 2022-04-07 16:45:14,475:WARNING:Couldn't import cuml.svm.SVC
  38887. 2022-04-07 16:45:14,489:WARNING:Couldn't import cuml.linear_model
  38888. 2022-04-07 16:45:14,492:WARNING:Couldn't import cuml.ensemble
  38889. 2022-04-07 16:45:14,497:WARNING:Couldn't import catboost.CatBoostClassifier
  38890. 2022-04-07 16:45:14,498:INFO:Creating grid variables
  38891. 2022-04-07 16:45:14,506:INFO:create_model_container: 0
  38892. 2022-04-07 16:45:14,506:INFO:master_model_container: 0
  38893. 2022-04-07 16:45:14,507:INFO:display_container: 1
  38894. 2022-04-07 16:45:14,509:INFO:Pipeline(memory=None,
  38895. steps=[('dtypes',
  38896. DataTypes_Auto_infer(categorical_features=[],
  38897. display_types=True, features_todrop=[],
  38898. id_columns=[],
  38899. ml_usecase='classification',
  38900. numerical_features=[], target='label',
  38901. time_features=[])),
  38902. ('imputer',
  38903. Simple_Imputer(categorical_strategy='not_available',
  38904. fill_value_categorical=None,
  38905. fill_value_numerical=None,
  38906. numeric_strate...
  38907. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  38908. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  38909. ('cluster_all', 'passthrough'),
  38910. ('dummy', Dummify(target='label')),
  38911. ('fix_perfect', Remove_100(target='label')),
  38912. ('clean_names', Clean_Colum_Names()),
  38913. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  38914. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  38915. verbose=False)
  38916. 2022-04-07 16:45:14,509:INFO:setup() succesfully completed......................................
  38917. 2022-04-07 16:45:17,504:INFO:Initializing create_model()
  38918. 2022-04-07 16:45:17,504:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  38919. 2022-04-07 16:45:17,504:INFO:Checking exceptions
  38920. 2022-04-07 16:45:17,504:INFO:Preparing display monitor
  38921. 2022-04-07 16:45:17,515:INFO:Importing libraries
  38922. 2022-04-07 16:45:17,515:INFO:Copying training dataset
  38923. 2022-04-07 16:45:17,516:INFO:Defining folds
  38924. 2022-04-07 16:45:17,517:INFO:Declaring metric variables
  38925. 2022-04-07 16:45:17,522:INFO:Importing untrained model
  38926. 2022-04-07 16:45:17,527:INFO:Extreme Gradient Boosting Imported succesfully
  38927. 2022-04-07 16:45:17,537:INFO:Starting cross validation
  38928. 2022-04-07 16:45:17,538:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  38929. 2022-04-07 16:45:18,608:INFO:Calculating mean and std
  38930. 2022-04-07 16:45:18,609:INFO:Creating metrics dataframe
  38931. 2022-04-07 16:45:18,615:INFO:Finalizing model
  38932. 2022-04-07 16:45:28,353:INFO:PyCaret Supervised Module
  38933. 2022-04-07 16:45:28,353:INFO:ML Usecase: classification
  38934. 2022-04-07 16:45:28,353:INFO:version 2.3.6
  38935. 2022-04-07 16:45:28,353:INFO:Initializing setup()
  38936. 2022-04-07 16:45:28,353:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  38937. 2022-04-07 16:45:28,354:INFO:Checking environment
  38938. 2022-04-07 16:45:28,354:INFO:python_version: 3.8.8
  38939. 2022-04-07 16:45:28,354:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  38940. 2022-04-07 16:45:28,354:INFO:machine: x86_64
  38941. 2022-04-07 16:45:28,354:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  38942. 2022-04-07 16:45:28,355:INFO:Memory: svmem(total=33619935232, available=29619044352, percent=11.9, used=3144200192, free=28333740032, active=351227904, inactive=4461682688, buffers=134012928, cached=2007982080, shared=446951424, slab=182550528)
  38943. 2022-04-07 16:45:28,355:INFO:Physical Core: 16
  38944. 2022-04-07 16:45:28,356:INFO:Logical Core: 32
  38945. 2022-04-07 16:45:28,356:INFO:Checking libraries
  38946. 2022-04-07 16:45:28,356:INFO:pd==1.3.0
  38947. 2022-04-07 16:45:28,356:INFO:numpy==1.22.3
  38948. 2022-04-07 16:45:28,356:INFO:sklearn==0.23.2
  38949. 2022-04-07 16:45:28,356:INFO:lightgbm==3.3.2
  38950. 2022-04-07 16:45:28,357:WARNING:catboost not found
  38951. 2022-04-07 16:45:28,357:INFO:xgboost==1.4.2
  38952. 2022-04-07 16:45:28,357:INFO:mlflow==1.22.0
  38953. 2022-04-07 16:45:28,357:INFO:Checking Exceptions
  38954. 2022-04-07 16:45:28,357:INFO:Declaring global variables
  38955. 2022-04-07 16:45:28,358:INFO:USI: 8161
  38956. 2022-04-07 16:45:28,358:INFO:pycaret_globals: {'y', 'experiment__', '_all_models', '_available_plots', 'data_before_preprocess', 'seed', 'imputation_regressor', 'iterative_imputation_iters_param', '_internal_pipeline', 'fold_groups_param_full', 'transform_target_param', 'fix_imbalance_param', 'y_train', 'fold_generator', 'fold_shuffle_param', 'X_train', 'stratify_param', 'gpu_param', 'fix_imbalance_method_param', 'fold_param', 'display_container', 'html_param', 'create_model_container', 'y_test', 'imputation_classifier', '_ml_usecase', 'logging_param', 'target_param', 'USI', 'pycaret_globals', '_all_metrics', 'X_test', 'exp_name_log', '_all_models_internal', 'fold_groups_param', 'master_model_container', 'transform_target_method_param', 'X', 'n_jobs_param', '_gpu_n_jobs_param', 'log_plots_param', 'prep_pipe'}
  38957. 2022-04-07 16:45:28,358:INFO:Preparing display monitor
  38958. 2022-04-07 16:45:28,358:INFO:Preparing display monitor
  38959. 2022-04-07 16:45:28,365:INFO:Importing libraries
  38960. 2022-04-07 16:45:28,365:INFO:Copying data for preprocessing
  38961. 2022-04-07 16:45:28,370:INFO:Declaring preprocessing parameters
  38962. 2022-04-07 16:45:28,373:INFO:Creating preprocessing pipeline
  38963. 2022-04-07 16:45:28,411:INFO:Preprocessing pipeline created successfully
  38964. 2022-04-07 16:45:28,411:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  38965. 2022-04-07 16:45:28,411:INFO:Creating global containers
  38966. 2022-04-07 16:45:28,412:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  38967. 2022-04-07 16:45:30,117:WARNING:Couldn't import catboost.CatBoostClassifier
  38968. 2022-04-07 16:45:30,164:WARNING:Couldn't import catboost.CatBoostClassifier
  38969. 2022-04-07 16:45:30,164:INFO:Creating grid variables
  38970. 2022-04-07 16:45:30,172:INFO:create_model_container: 0
  38971. 2022-04-07 16:45:30,172:INFO:master_model_container: 0
  38972. 2022-04-07 16:45:30,172:INFO:display_container: 1
  38973. 2022-04-07 16:45:30,175:INFO:Pipeline(memory=None,
  38974. steps=[('dtypes',
  38975. DataTypes_Auto_infer(categorical_features=[],
  38976. display_types=True, features_todrop=[],
  38977. id_columns=[],
  38978. ml_usecase='classification',
  38979. numerical_features=[], target='label',
  38980. time_features=[])),
  38981. ('imputer',
  38982. Simple_Imputer(categorical_strategy='not_available',
  38983. fill_value_categorical=None,
  38984. fill_value_numerical=None,
  38985. numeric_strate...
  38986. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  38987. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  38988. ('cluster_all', 'passthrough'),
  38989. ('dummy', Dummify(target='label')),
  38990. ('fix_perfect', Remove_100(target='label')),
  38991. ('clean_names', Clean_Colum_Names()),
  38992. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  38993. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  38994. verbose=False)
  38995. 2022-04-07 16:45:30,175:INFO:setup() succesfully completed......................................
  38996. 2022-04-07 16:45:32,734:INFO:Initializing create_model()
  38997. 2022-04-07 16:45:32,734:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  38998. 2022-04-07 16:45:32,735:INFO:Checking exceptions
  38999. 2022-04-07 16:45:32,735:INFO:Preparing display monitor
  39000. 2022-04-07 16:45:32,745:INFO:Importing libraries
  39001. 2022-04-07 16:45:32,745:INFO:Copying training dataset
  39002. 2022-04-07 16:45:32,746:INFO:Defining folds
  39003. 2022-04-07 16:45:32,746:INFO:Declaring metric variables
  39004. 2022-04-07 16:45:32,752:INFO:Importing untrained model
  39005. 2022-04-07 16:45:32,757:INFO:Extreme Gradient Boosting Imported succesfully
  39006. 2022-04-07 16:45:32,767:INFO:Starting cross validation
  39007. 2022-04-07 16:45:32,768:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  39008. 2022-04-07 16:57:04,609:INFO:Calculating mean and std
  39009. 2022-04-07 16:57:04,610:INFO:Creating metrics dataframe
  39010. 2022-04-07 16:57:04,618:INFO:Finalizing model
  39011. 2022-04-07 16:57:17,961:INFO:Uploading results into container
  39012. 2022-04-07 16:57:17,961:INFO:Uploading model into container now
  39013. 2022-04-07 16:57:17,969:INFO:create_model_container: 1
  39014. 2022-04-07 16:57:17,970:INFO:master_model_container: 1
  39015. 2022-04-07 16:57:17,970:INFO:display_container: 2
  39016. 2022-04-07 16:57:17,971:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39017. colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,
  39018. importance_type='gain', interaction_constraints='',
  39019. learning_rate=0.300000012, max_delta_step=0, max_depth=8,
  39020. max_leaves=256, min_child_weight=1, missing=nan,
  39021. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39022. num_parallel_tree=1, objective='binary:logistic',
  39023. random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  39024. subsample=1, tree_method='auto', use_label_encoder=True,
  39025. validate_parameters=1, verbosity=0)
  39026. 2022-04-07 16:57:17,972:INFO:create_model() succesfully completed......................................
  39027. 2022-04-07 16:59:04,954:INFO:Initializing tune_model()
  39028. 2022-04-07 16:59:04,954:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39029. colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,
  39030. importance_type='gain', interaction_constraints='',
  39031. learning_rate=0.300000012, max_delta_step=0, max_depth=8,
  39032. max_leaves=256, min_child_weight=1, missing=nan,
  39033. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39034. num_parallel_tree=1, objective='binary:logistic',
  39035. random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  39036. subsample=1, tree_method='auto', use_label_encoder=True,
  39037. validate_parameters=1, verbosity=0), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128], 'max_leaves': [1024], 'colsample_bytree': [0.6, 0.8], 'learning_rate': [0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  39038. 2022-04-07 16:59:04,954:INFO:Checking exceptions
  39039. 2022-04-07 16:59:04,955:INFO:Preparing display monitor
  39040. 2022-04-07 16:59:04,965:INFO:Copying training dataset
  39041. 2022-04-07 16:59:04,966:INFO:Checking base model
  39042. 2022-04-07 16:59:04,967:INFO:Base model : Extreme Gradient Boosting
  39043. 2022-04-07 16:59:04,973:INFO:Declaring metric variables
  39044. 2022-04-07 16:59:04,978:INFO:Defining Hyperparameters
  39045. 2022-04-07 16:59:05,066:INFO:custom_grid: {'actual_estimator__max_depth': [128], 'actual_estimator__max_leaves': [1024], 'actual_estimator__colsample_bytree': [0.6, 0.8], 'actual_estimator__learning_rate': [0.005]}
  39046. 2022-04-07 16:59:05,066:INFO:Tuning with n_jobs=-1
  39047. 2022-04-07 16:59:05,066:INFO:Initializing RandomizedSearchCV
  39048. 2022-04-07 18:08:24,304:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 128, 'actual_estimator__learning_rate': 0.005, 'actual_estimator__colsample_bytree': 0.8}
  39049. 2022-04-07 18:08:24,305:INFO:Hyperparameter search completed
  39050. 2022-04-07 18:08:24,305:INFO:SubProcess create_model() called ==================================
  39051. 2022-04-07 18:08:24,306:INFO:Initializing create_model()
  39052. 2022-04-07 18:08:24,306:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39053. colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,
  39054. importance_type='gain', interaction_constraints='',
  39055. learning_rate=0.300000012, max_delta_step=0, max_depth=8,
  39056. max_leaves=256, min_child_weight=1, missing=nan,
  39057. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39058. num_parallel_tree=1, objective='binary:logistic',
  39059. random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  39060. subsample=1, tree_method='auto', use_label_encoder=True,
  39061. validate_parameters=1, verbosity=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8fb7a1e7c0>, kwargs={'max_leaves': 1024, 'max_depth': 128, 'learning_rate': 0.005, 'colsample_bytree': 0.8})
  39062. 2022-04-07 18:08:24,307:INFO:Checking exceptions
  39063. 2022-04-07 18:08:24,307:INFO:Importing libraries
  39064. 2022-04-07 18:08:24,307:INFO:Copying training dataset
  39065. 2022-04-07 18:08:24,308:INFO:Defining folds
  39066. 2022-04-07 18:08:24,309:INFO:Declaring metric variables
  39067. 2022-04-07 18:08:24,314:INFO:Importing untrained model
  39068. 2022-04-07 18:08:24,314:INFO:Declaring custom model
  39069. 2022-04-07 18:08:24,319:INFO:Extreme Gradient Boosting Imported succesfully
  39070. 2022-04-07 18:08:24,327:INFO:Starting cross validation
  39071. 2022-04-07 18:08:24,329:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  39072. 2022-04-07 18:44:54,464:INFO:Calculating mean and std
  39073. 2022-04-07 18:44:54,466:INFO:Creating metrics dataframe
  39074. 2022-04-07 18:44:54,473:INFO:Finalizing model
  39075. 2022-04-07 18:44:58,910:INFO:Uploading results into container
  39076. 2022-04-07 18:44:58,910:INFO:Uploading model into container now
  39077. 2022-04-07 18:44:58,911:INFO:create_model_container: 2
  39078. 2022-04-07 18:44:58,911:INFO:master_model_container: 2
  39079. 2022-04-07 18:44:58,911:INFO:display_container: 3
  39080. 2022-04-07 18:44:58,912:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39081. colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
  39082. importance_type='gain', interaction_constraints='',
  39083. learning_rate=0.005, max_delta_step=0, max_depth=128,
  39084. max_leaves=1024, min_child_weight=1, missing=nan,
  39085. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39086. num_parallel_tree=1, objective='binary:logistic',
  39087. random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  39088. subsample=1, tree_method='auto', use_label_encoder=True,
  39089. validate_parameters=1, verbosity=0)
  39090. 2022-04-07 18:44:58,912:INFO:create_model() succesfully completed......................................
  39091. 2022-04-07 18:44:58,988:INFO:SubProcess create_model() end ==================================
  39092. 2022-04-07 18:44:58,996:INFO:create_model_container: 2
  39093. 2022-04-07 18:44:58,996:INFO:master_model_container: 2
  39094. 2022-04-07 18:44:58,996:INFO:display_container: 3
  39095. 2022-04-07 18:44:58,998:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39096. colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
  39097. importance_type='gain', interaction_constraints='',
  39098. learning_rate=0.005, max_delta_step=0, max_depth=128,
  39099. max_leaves=1024, min_child_weight=1, missing=nan,
  39100. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39101. num_parallel_tree=1, objective='binary:logistic',
  39102. random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  39103. subsample=1, tree_method='auto', use_label_encoder=True,
  39104. validate_parameters=1, verbosity=0)
  39105. 2022-04-07 18:44:58,998:INFO:tune_model() succesfully completed......................................
  39106. 2022-04-08 08:01:05,877:INFO:Initializing finalize_model()
  39107. 2022-04-08 08:01:05,877:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39108. colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
  39109. importance_type='gain', interaction_constraints='',
  39110. learning_rate=0.005, max_delta_step=0, max_depth=128,
  39111. max_leaves=1024, min_child_weight=1, missing=nan,
  39112. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39113. num_parallel_tree=1, objective='binary:logistic',
  39114. random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  39115. subsample=1, tree_method='auto', use_label_encoder=True,
  39116. validate_parameters=1, verbosity=0), fit_kwargs=None, groups=None, model_only=True, display=None)
  39117. 2022-04-08 08:01:05,878:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39118. colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
  39119. importance_type='gain', interaction_constraints='',
  39120. learning_rate=0.005, max_delta_step=0, max_depth=128,
  39121. max_leaves=1024, min_child_weight=1, missing=nan,
  39122. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39123. num_parallel_tree=1, objective='binary:logistic',
  39124. random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  39125. subsample=1, tree_method='auto', use_label_encoder=True,
  39126. validate_parameters=1, verbosity=0)
  39127. 2022-04-08 08:01:05,879:INFO:Initializing create_model()
  39128. 2022-04-08 08:01:05,879:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39129. colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
  39130. importance_type='gain', interaction_constraints='',
  39131. learning_rate=0.005, max_delta_step=0, max_depth=128,
  39132. max_leaves=1024, min_child_weight=1, missing=nan,
  39133. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39134. num_parallel_tree=1, objective='binary:logistic',
  39135. random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  39136. subsample=1, tree_method='auto', use_label_encoder=True,
  39137. validate_parameters=1, verbosity=0), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=False, probability_threshold=None, display=None, kwargs={})
  39138. 2022-04-08 08:01:05,879:INFO:Checking exceptions
  39139. 2022-04-08 08:01:05,880:INFO:Importing libraries
  39140. 2022-04-08 08:01:05,880:INFO:Copying training dataset
  39141. 2022-04-08 08:01:05,881:INFO:Defining folds
  39142. 2022-04-08 08:01:05,881:INFO:Declaring metric variables
  39143. 2022-04-08 08:01:05,881:INFO:Importing untrained model
  39144. 2022-04-08 08:01:05,881:INFO:Declaring custom model
  39145. 2022-04-08 08:01:05,882:INFO:Extreme Gradient Boosting Imported succesfully
  39146. 2022-04-08 08:01:05,882:INFO:Starting cross validation
  39147. 2022-04-08 08:01:05,883:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  39148. 2022-04-08 08:36:59,845:INFO:PyCaret Supervised Module
  39149. 2022-04-08 08:36:59,846:INFO:ML Usecase: classification
  39150. 2022-04-08 08:36:59,847:INFO:version 2.3.9
  39151. 2022-04-08 08:36:59,847:INFO:Initializing setup()
  39152. 2022-04-08 08:36:59,847:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  39153. 2022-04-08 08:36:59,847:INFO:Checking environment
  39154. 2022-04-08 08:36:59,848:INFO:python_version: 3.8.13
  39155. 2022-04-08 08:36:59,848:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  39156. 2022-04-08 08:36:59,848:INFO:machine: x86_64
  39157. 2022-04-08 08:36:59,848:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  39158. 2022-04-08 08:36:59,848:INFO:Memory: svmem(total=33619935232, available=29608615936, percent=11.9, used=3206557696, free=27423301632, active=633155584, inactive=5048926208, buffers=167706624, cached=2822369280, shared=383385600, slab=213327872)
  39159. 2022-04-08 08:36:59,849:INFO:Physical Core: 16
  39160. 2022-04-08 08:36:59,849:INFO:Logical Core: 32
  39161. 2022-04-08 08:36:59,849:INFO:Checking libraries
  39162. 2022-04-08 08:36:59,850:INFO:pd==1.4.2
  39163. 2022-04-08 08:36:59,850:INFO:numpy==1.19.5
  39164. 2022-04-08 08:36:59,850:INFO:sklearn==0.23.2
  39165. 2022-04-08 08:36:59,850:INFO:lightgbm==3.3.2
  39166. 2022-04-08 08:36:59,851:WARNING:catboost not found
  39167. 2022-04-08 08:36:59,899:INFO:xgboost==1.5.2
  39168. 2022-04-08 08:36:59,899:INFO:mlflow==1.24.0
  39169. 2022-04-08 08:36:59,899:INFO:Checking Exceptions
  39170. 2022-04-08 08:36:59,900:INFO:Declaring global variables
  39171. 2022-04-08 08:36:59,900:INFO:USI: d31a
  39172. 2022-04-08 08:36:59,900:INFO:pycaret_globals: {'gpu_param', 'target_param', 'fold_shuffle_param', 'stratify_param', '_all_models_internal', 'html_param', '_all_metrics', 'X', 'transform_target_method_param', 'fold_param', 'n_jobs_param', 'display_container', 'prep_pipe', 'USI', 'log_plots_param', 'fold_generator', 'create_model_container', 'master_model_container', 'data_before_preprocess', 'imputation_classifier', 'seed', '_available_plots', 'pycaret_globals', 'y', '_internal_pipeline', 'experiment__', '_gpu_n_jobs_param', 'fold_groups_param', 'X_test', 'transform_target_param', '_ml_usecase', 'imputation_regressor', 'fix_imbalance_param', 'y_test', 'iterative_imputation_iters_param', 'fold_groups_param_full', 'fix_imbalance_method_param', 'logging_param', 'X_train', 'exp_name_log', '_all_models', 'dashboard_logger', 'y_train'}
  39173. 2022-04-08 08:36:59,901:INFO:Preparing display monitor
  39174. 2022-04-08 08:36:59,901:INFO:Preparing display monitor
  39175. 2022-04-08 08:36:59,911:INFO:Importing libraries
  39176. 2022-04-08 08:36:59,911:INFO:Copying data for preprocessing
  39177. 2022-04-08 08:36:59,917:INFO:Declaring preprocessing parameters
  39178. 2022-04-08 08:36:59,917:WARNING:cuML not found
  39179. 2022-04-08 08:36:59,917:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  39180. 2022-04-08 08:36:59,922:INFO:Creating preprocessing pipeline
  39181. 2022-04-08 08:36:59,951:INFO:Preprocessing pipeline created successfully
  39182. 2022-04-08 08:36:59,951:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  39183. 2022-04-08 08:36:59,951:INFO:Creating global containers
  39184. 2022-04-08 08:36:59,952:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  39185. 2022-04-08 08:37:01,954:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  39186. 2022-04-08 08:37:01,982:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  39187. 2022-04-08 08:37:01,985:WARNING:Couldn't import cuml.MBSGDClassifier
  39188. 2022-04-08 08:37:01,986:WARNING:Couldn't import cuml.svm.SVC
  39189. 2022-04-08 08:37:02,008:WARNING:Couldn't import cuml.linear_model
  39190. 2022-04-08 08:37:02,012:WARNING:Couldn't import cuml.ensemble
  39191. 2022-04-08 08:37:02,075:WARNING:Couldn't import catboost.CatBoostClassifier
  39192. 2022-04-08 08:37:02,076:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  39193. 2022-04-08 08:37:02,106:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  39194. 2022-04-08 08:37:02,106:WARNING:Couldn't import cuml.MBSGDClassifier
  39195. 2022-04-08 08:37:02,107:WARNING:Couldn't import cuml.svm.SVC
  39196. 2022-04-08 08:37:02,122:WARNING:Couldn't import cuml.linear_model
  39197. 2022-04-08 08:37:02,125:WARNING:Couldn't import cuml.ensemble
  39198. 2022-04-08 08:37:02,130:WARNING:Couldn't import catboost.CatBoostClassifier
  39199. 2022-04-08 08:37:02,130:INFO:Creating grid variables
  39200. 2022-04-08 08:37:02,141:INFO:create_model_container: 0
  39201. 2022-04-08 08:37:02,142:INFO:master_model_container: 0
  39202. 2022-04-08 08:37:02,142:INFO:display_container: 1
  39203. 2022-04-08 08:37:02,144:INFO:Pipeline(memory=None,
  39204. steps=[('dtypes',
  39205. DataTypes_Auto_infer(categorical_features=[],
  39206. display_types=True, features_todrop=[],
  39207. id_columns=[],
  39208. ml_usecase='classification',
  39209. numerical_features=[], target='label',
  39210. time_features=[])),
  39211. ('imputer',
  39212. Simple_Imputer(categorical_strategy='not_available',
  39213. fill_value_categorical=None,
  39214. fill_value_numerical=None,
  39215. numeric_strate...
  39216. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39217. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39218. ('cluster_all', 'passthrough'),
  39219. ('dummy', Dummify(target='label')),
  39220. ('fix_perfect', Remove_100(target='label')),
  39221. ('clean_names', Clean_Colum_Names()),
  39222. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39223. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39224. verbose=False)
  39225. 2022-04-08 08:37:02,145:INFO:setup() succesfully completed......................................
  39226. 2022-04-08 08:37:09,015:INFO:Initializing create_model()
  39227. 2022-04-08 08:37:09,015:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, experiment_custom_tags=None, add_to_model_list=True, probability_threshold=None, display=None, return_train_score=False, kwargs={'max_depth': 8, 'max_leaves': 256})
  39228. 2022-04-08 08:37:09,015:INFO:Checking exceptions
  39229. 2022-04-08 08:37:09,016:INFO:Preparing display monitor
  39230. 2022-04-08 08:37:09,025:INFO:Importing libraries
  39231. 2022-04-08 08:37:09,025:INFO:Copying training dataset
  39232. 2022-04-08 08:37:09,026:INFO:Defining folds
  39233. 2022-04-08 08:37:09,026:INFO:Declaring metric variables
  39234. 2022-04-08 08:37:09,030:INFO:Importing untrained model
  39235. 2022-04-08 08:37:09,035:INFO:Extreme Gradient Boosting Imported succesfully
  39236. 2022-04-08 08:37:09,044:INFO:Starting cross validation
  39237. 2022-04-08 08:37:09,044:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  39238. 2022-04-08 08:37:11,993:INFO:Calculating mean and std
  39239. 2022-04-08 08:37:11,994:INFO:Creating metrics dataframe
  39240. 2022-04-08 08:37:12,002:INFO:Finalizing model
  39241. 2022-04-08 08:38:10,536:INFO:Initializing create_model()
  39242. 2022-04-08 08:38:10,537:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, experiment_custom_tags=None, add_to_model_list=True, probability_threshold=None, display=None, return_train_score=False, kwargs={})
  39243. 2022-04-08 08:38:10,537:INFO:Checking exceptions
  39244. 2022-04-08 08:38:10,537:INFO:Preparing display monitor
  39245. 2022-04-08 08:38:10,546:INFO:Importing libraries
  39246. 2022-04-08 08:38:10,546:INFO:Copying training dataset
  39247. 2022-04-08 08:38:10,547:INFO:Defining folds
  39248. 2022-04-08 08:38:10,547:INFO:Declaring metric variables
  39249. 2022-04-08 08:38:10,552:INFO:Importing untrained model
  39250. 2022-04-08 08:38:10,556:INFO:Extreme Gradient Boosting Imported succesfully
  39251. 2022-04-08 08:38:10,565:INFO:Starting cross validation
  39252. 2022-04-08 08:38:10,565:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  39253. 2022-04-08 08:38:10,691:INFO:Calculating mean and std
  39254. 2022-04-08 08:38:10,692:INFO:Creating metrics dataframe
  39255. 2022-04-08 08:38:10,698:INFO:Finalizing model
  39256. 2022-04-08 08:41:15,159:INFO:PyCaret Supervised Module
  39257. 2022-04-08 08:41:15,160:INFO:ML Usecase: classification
  39258. 2022-04-08 08:41:15,160:INFO:version 2.3.9
  39259. 2022-04-08 08:41:15,160:INFO:Initializing setup()
  39260. 2022-04-08 08:41:15,160:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  39261. 2022-04-08 08:41:15,160:INFO:Checking environment
  39262. 2022-04-08 08:41:15,160:INFO:python_version: 3.8.12
  39263. 2022-04-08 08:41:15,160:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  39264. 2022-04-08 08:41:15,160:INFO:machine: AMD64
  39265. 2022-04-08 08:41:15,160:INFO:platform: Windows-10-10.0.22000-SP0
  39266. 2022-04-08 08:41:15,160:INFO:Memory: svmem(total=68629368832, available=50016399360, percent=27.1, used=18612969472, free=50016399360)
  39267. 2022-04-08 08:41:15,160:INFO:Physical Core: 16
  39268. 2022-04-08 08:41:15,160:INFO:Logical Core: 32
  39269. 2022-04-08 08:41:15,160:INFO:Checking libraries
  39270. 2022-04-08 08:41:15,160:INFO:pd==1.4.2
  39271. 2022-04-08 08:41:15,160:INFO:numpy==1.20.3
  39272. 2022-04-08 08:41:15,160:INFO:sklearn==0.23.2
  39273. 2022-04-08 08:41:15,160:INFO:lightgbm==3.3.2
  39274. 2022-04-08 08:41:15,440:INFO:catboost==1.0.4
  39275. 2022-04-08 08:41:15,701:INFO:xgboost==1.5.2
  39276. 2022-04-08 08:41:15,701:INFO:mlflow==1.23.1
  39277. 2022-04-08 08:41:15,701:INFO:Checking Exceptions
  39278. 2022-04-08 08:41:15,701:INFO:Declaring global variables
  39279. 2022-04-08 08:41:15,701:INFO:USI: c1be
  39280. 2022-04-08 08:41:15,702:INFO:pycaret_globals: {'_all_models_internal', 'y_test', '_all_models', 'fold_groups_param_full', 'stratify_param', 'USI', '_ml_usecase', 'fix_imbalance_method_param', '_available_plots', 'pycaret_globals', 'exp_name_log', 'imputation_regressor', 'seed', 'transform_target_param', 'transform_target_method_param', 'gpu_param', '_internal_pipeline', 'imputation_classifier', 'iterative_imputation_iters_param', 'X_test', 'display_container', 'data_before_preprocess', 'dashboard_logger', 'prep_pipe', 'experiment__', 'y_train', 'fold_shuffle_param', 'n_jobs_param', 'fold_param', 'log_plots_param', 'logging_param', 'fix_imbalance_param', 'X_train', '_gpu_n_jobs_param', 'target_param', 'html_param', 'create_model_container', 'master_model_container', 'X', 'fold_groups_param', '_all_metrics', 'fold_generator', 'y'}
  39281. 2022-04-08 08:41:15,702:INFO:Preparing display monitor
  39282. 2022-04-08 08:41:15,702:INFO:Preparing display monitor
  39283. 2022-04-08 08:41:15,711:INFO:Importing libraries
  39284. 2022-04-08 08:41:15,711:INFO:Copying data for preprocessing
  39285. 2022-04-08 08:41:15,716:INFO:Declaring preprocessing parameters
  39286. 2022-04-08 08:41:15,716:WARNING:cuML not found
  39287. 2022-04-08 08:41:15,716:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  39288. 2022-04-08 08:41:15,719:INFO:Creating preprocessing pipeline
  39289. 2022-04-08 08:41:15,761:INFO:Preprocessing pipeline created successfully
  39290. 2022-04-08 08:41:15,761:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  39291. 2022-04-08 08:41:15,761:INFO:Creating global containers
  39292. 2022-04-08 08:41:15,762:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  39293. 2022-04-08 08:41:18,348:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  39294. 2022-04-08 08:41:18,380:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  39295. 2022-04-08 08:41:18,382:WARNING:Couldn't import cuml.MBSGDClassifier
  39296. 2022-04-08 08:41:18,383:WARNING:Couldn't import cuml.svm.SVC
  39297. 2022-04-08 08:41:18,403:WARNING:Couldn't import cuml.linear_model
  39298. 2022-04-08 08:41:18,407:WARNING:Couldn't import cuml.ensemble
  39299. 2022-04-08 08:41:18,822:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  39300. 2022-04-08 08:41:18,883:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  39301. 2022-04-08 08:41:18,884:WARNING:Couldn't import cuml.MBSGDClassifier
  39302. 2022-04-08 08:41:18,885:WARNING:Couldn't import cuml.svm.SVC
  39303. 2022-04-08 08:41:18,915:WARNING:Couldn't import cuml.linear_model
  39304. 2022-04-08 08:41:18,920:WARNING:Couldn't import cuml.ensemble
  39305. 2022-04-08 08:41:19,061:INFO:Creating grid variables
  39306. 2022-04-08 08:41:19,073:INFO:create_model_container: 0
  39307. 2022-04-08 08:41:19,074:INFO:master_model_container: 0
  39308. 2022-04-08 08:41:19,074:INFO:display_container: 1
  39309. 2022-04-08 08:41:19,079:INFO:Pipeline(memory=None,
  39310. steps=[('dtypes',
  39311. DataTypes_Auto_infer(categorical_features=[],
  39312. display_types=True, features_todrop=[],
  39313. id_columns=[],
  39314. ml_usecase='classification',
  39315. numerical_features=[], target='label',
  39316. time_features=[])),
  39317. ('imputer',
  39318. Simple_Imputer(categorical_strategy='not_available',
  39319. fill_value_categorical=None,
  39320. fill_value_numerical=None,
  39321. numeric_strate...
  39322. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39323. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39324. ('cluster_all', 'passthrough'),
  39325. ('dummy', Dummify(target='label')),
  39326. ('fix_perfect', Remove_100(target='label')),
  39327. ('clean_names', Clean_Colum_Names()),
  39328. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39329. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39330. verbose=False)
  39331. 2022-04-08 08:41:19,080:INFO:setup() succesfully completed......................................
  39332. 2022-04-08 08:41:21,389:INFO:Initializing create_model()
  39333. 2022-04-08 08:41:21,389:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, experiment_custom_tags=None, add_to_model_list=True, probability_threshold=None, display=None, return_train_score=False, kwargs={})
  39334. 2022-04-08 08:41:21,389:INFO:Checking exceptions
  39335. 2022-04-08 08:41:21,389:INFO:Preparing display monitor
  39336. 2022-04-08 08:41:21,400:INFO:Importing libraries
  39337. 2022-04-08 08:41:21,400:INFO:Copying training dataset
  39338. 2022-04-08 08:41:21,401:INFO:Defining folds
  39339. 2022-04-08 08:41:21,401:INFO:Declaring metric variables
  39340. 2022-04-08 08:41:21,406:INFO:Importing untrained model
  39341. 2022-04-08 08:41:21,411:INFO:Extreme Gradient Boosting Imported succesfully
  39342. 2022-04-08 08:41:21,421:INFO:Starting cross validation
  39343. 2022-04-08 08:41:21,422:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  39344. 2022-04-08 08:41:27,464:INFO:Calculating mean and std
  39345. 2022-04-08 08:41:27,465:INFO:Creating metrics dataframe
  39346. 2022-04-08 08:41:27,473:INFO:Finalizing model
  39347. 2022-04-08 08:41:27,969:INFO:Uploading results into container
  39348. 2022-04-08 08:41:27,969:INFO:Uploading model into container now
  39349. 2022-04-08 08:41:27,974:INFO:create_model_container: 1
  39350. 2022-04-08 08:41:27,974:INFO:master_model_container: 1
  39351. 2022-04-08 08:41:27,974:INFO:display_container: 2
  39352. 2022-04-08 08:41:27,976:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39353. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  39354. gamma=0, gpu_id=0, importance_type=None,
  39355. interaction_constraints='', learning_rate=0.300000012,
  39356. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  39357. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39358. num_parallel_tree=1, objective='binary:logistic',
  39359. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39360. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39361. use_label_encoder=True, validate_parameters=1, verbosity=0)
  39362. 2022-04-08 08:41:27,976:INFO:create_model() succesfully completed......................................
  39363. 2022-04-08 08:41:42,701:INFO:Initializing tune_model()
  39364. 2022-04-08 08:41:42,701:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39365. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  39366. gamma=0, gpu_id=0, importance_type=None,
  39367. interaction_constraints='', learning_rate=0.300000012,
  39368. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  39369. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39370. num_parallel_tree=1, objective='binary:logistic',
  39371. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39372. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39373. use_label_encoder=True, validate_parameters=1, verbosity=0), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128], 'max_leaves': [1024], 'colsample_bytree': [0.6, 0.8], 'learning_rate': [0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, return_train_score=False, kwargs={})
  39374. 2022-04-08 08:41:42,701:INFO:Checking exceptions
  39375. 2022-04-08 08:41:42,702:INFO:Preparing display monitor
  39376. 2022-04-08 08:41:42,712:INFO:Copying training dataset
  39377. 2022-04-08 08:41:42,713:INFO:Checking base model
  39378. 2022-04-08 08:41:42,713:INFO:Base model : Extreme Gradient Boosting
  39379. 2022-04-08 08:41:42,719:INFO:Declaring metric variables
  39380. 2022-04-08 08:41:42,723:INFO:Defining Hyperparameters
  39381. 2022-04-08 08:41:42,807:INFO:custom_grid: {'actual_estimator__max_depth': [128], 'actual_estimator__max_leaves': [1024], 'actual_estimator__colsample_bytree': [0.6, 0.8], 'actual_estimator__learning_rate': [0.005]}
  39382. 2022-04-08 08:41:42,807:INFO:Tuning with n_jobs=1
  39383. 2022-04-08 08:41:42,807:INFO:Initializing RandomizedSearchCV
  39384. 2022-04-08 08:45:17,374:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 128, 'actual_estimator__learning_rate': 0.005, 'actual_estimator__colsample_bytree': 0.8}
  39385. 2022-04-08 08:45:17,375:INFO:Hyperparameter search completed
  39386. 2022-04-08 08:45:17,375:INFO:SubProcess create_model() called ==================================
  39387. 2022-04-08 08:45:17,376:INFO:Initializing create_model()
  39388. 2022-04-08 08:45:17,376:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39389. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  39390. gamma=0, gpu_id=0, importance_type=None,
  39391. interaction_constraints='', learning_rate=0.300000012,
  39392. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  39393. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39394. num_parallel_tree=1, objective='binary:logistic',
  39395. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39396. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39397. use_label_encoder=True, validate_parameters=1, verbosity=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, experiment_custom_tags=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x00000223F3320040>, return_train_score=False, kwargs={'max_leaves': 1024, 'max_depth': 128, 'learning_rate': 0.005, 'colsample_bytree': 0.8})
  39398. 2022-04-08 08:45:17,376:INFO:Checking exceptions
  39399. 2022-04-08 08:45:17,376:INFO:Importing libraries
  39400. 2022-04-08 08:45:17,376:INFO:Copying training dataset
  39401. 2022-04-08 08:45:17,378:INFO:Defining folds
  39402. 2022-04-08 08:45:17,378:INFO:Declaring metric variables
  39403. 2022-04-08 08:45:17,385:INFO:Importing untrained model
  39404. 2022-04-08 08:45:17,385:INFO:Declaring custom model
  39405. 2022-04-08 08:45:17,392:INFO:Extreme Gradient Boosting Imported succesfully
  39406. 2022-04-08 08:45:17,406:INFO:Starting cross validation
  39407. 2022-04-08 08:45:17,408:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  39408. 2022-04-08 08:46:58,147:INFO:Calculating mean and std
  39409. 2022-04-08 08:46:58,148:INFO:Creating metrics dataframe
  39410. 2022-04-08 08:46:58,156:INFO:Finalizing model
  39411. 2022-04-08 08:47:08,224:INFO:Uploading results into container
  39412. 2022-04-08 08:47:08,224:INFO:Uploading model into container now
  39413. 2022-04-08 08:47:08,224:INFO:create_model_container: 2
  39414. 2022-04-08 08:47:08,224:INFO:master_model_container: 2
  39415. 2022-04-08 08:47:08,224:INFO:display_container: 3
  39416. 2022-04-08 08:47:08,225:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39417. colsample_bynode=1, colsample_bytree=0.8,
  39418. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39419. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39420. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39421. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39422. num_parallel_tree=1, objective='binary:logistic',
  39423. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39424. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39425. use_label_encoder=True, validate_parameters=1, ...)
  39426. 2022-04-08 08:47:08,225:INFO:create_model() succesfully completed......................................
  39427. 2022-04-08 08:47:08,291:INFO:SubProcess create_model() end ==================================
  39428. 2022-04-08 08:47:08,305:INFO:create_model_container: 2
  39429. 2022-04-08 08:47:08,305:INFO:master_model_container: 2
  39430. 2022-04-08 08:47:08,305:INFO:display_container: 3
  39431. 2022-04-08 08:47:08,306:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39432. colsample_bynode=1, colsample_bytree=0.8,
  39433. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39434. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39435. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39436. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39437. num_parallel_tree=1, objective='binary:logistic',
  39438. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39439. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39440. use_label_encoder=True, validate_parameters=1, ...)
  39441. 2022-04-08 08:47:08,306:INFO:tune_model() succesfully completed......................................
  39442. 2022-04-08 09:32:59,327:INFO:Initializing evaluate_model()
  39443. 2022-04-08 09:32:59,327:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39444. colsample_bynode=1, colsample_bytree=0.8,
  39445. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39446. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39447. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39448. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39449. num_parallel_tree=1, objective='binary:logistic',
  39450. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39451. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39452. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  39453. 2022-04-08 09:32:59,342:INFO:Initializing plot_model()
  39454. 2022-04-08 09:32:59,342:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39455. colsample_bynode=1, colsample_bytree=0.8,
  39456. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39457. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39458. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39459. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39460. num_parallel_tree=1, objective='binary:logistic',
  39461. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39462. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39463. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  39464. 2022-04-08 09:32:59,342:INFO:Checking exceptions
  39465. 2022-04-08 09:32:59,345:INFO:Preparing display monitor
  39466. 2022-04-08 09:32:59,350:INFO:Preloading libraries
  39467. 2022-04-08 09:32:59,628:INFO:Copying training dataset
  39468. 2022-04-08 09:32:59,629:INFO:Copying test dataset
  39469. 2022-04-08 09:32:59,629:INFO:Plot type: parameter
  39470. 2022-04-08 09:32:59,639:INFO:Visual Rendered Successfully
  39471. 2022-04-08 09:32:59,712:INFO:plot_model() succesfully completed......................................
  39472. 2022-04-08 09:33:50,364:INFO:Initializing finalize_model()
  39473. 2022-04-08 09:33:50,364:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39474. colsample_bynode=1, colsample_bytree=0.8,
  39475. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39476. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39477. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39478. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39479. num_parallel_tree=1, objective='binary:logistic',
  39480. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39481. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39482. use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None, experiment_custom_tags=None, return_train_score=False)
  39483. 2022-04-08 09:33:50,365:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39484. colsample_bynode=1, colsample_bytree=0.8,
  39485. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39486. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39487. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39488. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39489. num_parallel_tree=1, objective='binary:logistic',
  39490. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39491. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39492. use_label_encoder=True, validate_parameters=1, ...)
  39493. 2022-04-08 09:33:50,366:INFO:Initializing create_model()
  39494. 2022-04-08 09:33:50,366:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39495. colsample_bynode=1, colsample_bytree=0.8,
  39496. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39497. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39498. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39499. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39500. num_parallel_tree=1, objective='binary:logistic',
  39501. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39502. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39503. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, experiment_custom_tags=None, add_to_model_list=False, probability_threshold=None, display=None, return_train_score=False, kwargs={})
  39504. 2022-04-08 09:33:50,366:INFO:Checking exceptions
  39505. 2022-04-08 09:33:50,366:INFO:Importing libraries
  39506. 2022-04-08 09:33:50,367:INFO:Copying training dataset
  39507. 2022-04-08 09:33:50,368:INFO:Defining folds
  39508. 2022-04-08 09:33:50,368:INFO:Declaring metric variables
  39509. 2022-04-08 09:33:50,368:INFO:Importing untrained model
  39510. 2022-04-08 09:33:50,368:INFO:Declaring custom model
  39511. 2022-04-08 09:33:50,369:INFO:Extreme Gradient Boosting Imported succesfully
  39512. 2022-04-08 09:33:50,369:INFO:Starting cross validation
  39513. 2022-04-08 09:33:50,370:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  39514. 2022-04-08 09:35:53,303:INFO:Calculating mean and std
  39515. 2022-04-08 09:35:53,303:INFO:Creating metrics dataframe
  39516. 2022-04-08 09:35:53,305:INFO:Finalizing model
  39517. 2022-04-08 09:36:07,525:INFO:create_model_container: 2
  39518. 2022-04-08 09:36:07,525:INFO:master_model_container: 2
  39519. 2022-04-08 09:36:07,525:INFO:display_container: 4
  39520. 2022-04-08 09:36:07,526:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39521. colsample_bynode=1, colsample_bytree=0.8,
  39522. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39523. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39524. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39525. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39526. num_parallel_tree=1, objective='binary:logistic',
  39527. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39528. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39529. use_label_encoder=True, validate_parameters=1, ...)
  39530. 2022-04-08 09:36:07,526:INFO:create_model() succesfully completed......................................
  39531. 2022-04-08 09:36:07,601:INFO:create_model_container: 2
  39532. 2022-04-08 09:36:07,601:INFO:master_model_container: 2
  39533. 2022-04-08 09:36:07,601:INFO:display_container: 3
  39534. 2022-04-08 09:36:07,602:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39535. colsample_bynode=1, colsample_bytree=0.8,
  39536. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39537. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39538. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39539. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39540. num_parallel_tree=1, objective='binary:logistic',
  39541. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39542. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39543. use_label_encoder=True, validate_parameters=1, ...)
  39544. 2022-04-08 09:36:07,602:INFO:finalize_model() succesfully completed......................................
  39545. 2022-04-08 09:36:07,667:INFO:Initializing save_model()
  39546. 2022-04-08 09:36:07,667:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  39547. colsample_bynode=1, colsample_bytree=0.8,
  39548. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  39549. interaction_constraints='', learning_rate=0.005, max_delta_step=0,
  39550. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  39551. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  39552. num_parallel_tree=1, objective='binary:logistic',
  39553. predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
  39554. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  39555. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_239_0408, prep_pipe_=Pipeline(memory=None,
  39556. steps=[('dtypes',
  39557. DataTypes_Auto_infer(categorical_features=[],
  39558. display_types=True, features_todrop=[],
  39559. id_columns=[],
  39560. ml_usecase='classification',
  39561. numerical_features=[], target='label',
  39562. time_features=[])),
  39563. ('imputer',
  39564. Simple_Imputer(categorical_strategy='not_available',
  39565. fill_value_categorical=None,
  39566. fill_value_numerical=None,
  39567. numeric_strate...
  39568. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39569. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39570. ('cluster_all', 'passthrough'),
  39571. ('dummy', Dummify(target='label')),
  39572. ('fix_perfect', Remove_100(target='label')),
  39573. ('clean_names', Clean_Colum_Names()),
  39574. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39575. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39576. verbose=False), verbose=True, kwargs={})
  39577. 2022-04-08 09:36:07,667:INFO:Adding model into prep_pipe
  39578. 2022-04-08 09:36:07,896:INFO:tuned_xgboost_239_0408.pkl saved in current working directory
  39579. 2022-04-08 09:36:07,903:INFO:Pipeline(memory=None,
  39580. steps=[('dtypes',
  39581. DataTypes_Auto_infer(categorical_features=[],
  39582. display_types=True, features_todrop=[],
  39583. id_columns=[],
  39584. ml_usecase='classification',
  39585. numerical_features=[], target='label',
  39586. time_features=[])),
  39587. ('imputer',
  39588. Simple_Imputer(categorical_strategy='not_available',
  39589. fill_value_categorical=None,
  39590. fill_value_numerical=None,
  39591. numeric_strate...
  39592. max_delta_step=0, max_depth=128, max_leaves=1024,
  39593. min_child_weight=1, missing=nan,
  39594. monotone_constraints='()', n_estimators=100,
  39595. n_jobs=-1, num_parallel_tree=1,
  39596. objective='binary:logistic', predictor='auto',
  39597. random_state=4505, reg_alpha=0, reg_lambda=1,
  39598. scale_pos_weight=1, subsample=1,
  39599. tree_method='gpu_hist', use_label_encoder=True,
  39600. validate_parameters=1, ...)]],
  39601. verbose=False)
  39602. 2022-04-08 09:36:07,903:INFO:save_model() successfully completed......................................
  39603. 2022-04-08 09:45:30,371:INFO:Initializing load_model()
  39604. 2022-04-08 09:45:30,371:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
  39605. 2022-04-08 09:45:30,519:INFO:Initializing predict_model()
  39606. 2022-04-08 09:45:30,519:INFO:predict_model(estimator=Pipeline(memory=None,
  39607. steps=[('dtypes',
  39608. DataTypes_Auto_infer(categorical_features=[],
  39609. display_types=True, features_todrop=[],
  39610. id_columns=[],
  39611. ml_usecase='classification',
  39612. numerical_features=[], target='label',
  39613. time_features=[])),
  39614. ('imputer',
  39615. Simple_Imputer(categorical_strategy='not_available',
  39616. fill_value_categorical=None,
  39617. fill_value_numerical=None,
  39618. numeric_strate...
  39619. max_delta_step=0, max_depth=128, max_leaves=1024,
  39620. min_child_weight=1, missing=nan,
  39621. monotone_constraints='()', n_estimators=100,
  39622. n_jobs=-1, num_parallel_tree=1,
  39623. objective='binary:logistic', predictor='auto',
  39624. random_state=4505, reg_alpha=0, reg_lambda=1,
  39625. scale_pos_weight=1, subsample=1,
  39626. tree_method='gpu_hist', use_label_encoder=True,
  39627. validate_parameters=1, ...)]],
  39628. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  39629. 2022-04-08 09:45:30,519:INFO:Checking exceptions
  39630. 2022-04-08 09:45:30,519:INFO:Preloading libraries
  39631. 2022-04-08 09:45:30,519:INFO:Preparing display monitor
  39632. 2022-04-08 09:46:41,360:INFO:PyCaret Supervised Module
  39633. 2022-04-08 09:46:41,361:INFO:ML Usecase: classification
  39634. 2022-04-08 09:46:41,361:INFO:version 2.3.9
  39635. 2022-04-08 09:46:41,361:INFO:Initializing setup()
  39636. 2022-04-08 09:46:41,361:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  39637. 2022-04-08 09:46:41,361:INFO:Checking environment
  39638. 2022-04-08 09:46:41,361:INFO:python_version: 3.8.12
  39639. 2022-04-08 09:46:41,361:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  39640. 2022-04-08 09:46:41,361:INFO:machine: AMD64
  39641. 2022-04-08 09:46:41,361:INFO:platform: Windows-10-10.0.22000-SP0
  39642. 2022-04-08 09:46:41,361:INFO:Memory: svmem(total=68629368832, available=49159352320, percent=28.4, used=19470016512, free=49159352320)
  39643. 2022-04-08 09:46:41,361:INFO:Physical Core: 16
  39644. 2022-04-08 09:46:41,361:INFO:Logical Core: 32
  39645. 2022-04-08 09:46:41,361:INFO:Checking libraries
  39646. 2022-04-08 09:46:41,361:INFO:pd==1.4.2
  39647. 2022-04-08 09:46:41,361:INFO:numpy==1.20.3
  39648. 2022-04-08 09:46:41,361:INFO:sklearn==0.23.2
  39649. 2022-04-08 09:46:41,361:INFO:lightgbm==3.3.2
  39650. 2022-04-08 09:46:41,373:INFO:catboost==1.0.4
  39651. 2022-04-08 09:46:41,465:INFO:xgboost==1.5.2
  39652. 2022-04-08 09:46:41,465:INFO:mlflow==1.23.1
  39653. 2022-04-08 09:46:41,465:INFO:Checking Exceptions
  39654. 2022-04-08 09:46:41,465:INFO:Declaring global variables
  39655. 2022-04-08 09:46:41,465:INFO:USI: 5f9e
  39656. 2022-04-08 09:46:41,465:INFO:pycaret_globals: {'transform_target_param', 'gpu_param', 'stratify_param', 'dashboard_logger', 'pycaret_globals', 'fix_imbalance_param', 'y', '_gpu_n_jobs_param', 'fix_imbalance_method_param', 'display_container', 'USI', 'fold_shuffle_param', 'imputation_classifier', 'imputation_regressor', 'seed', 'y_train', 'fold_groups_param', '_available_plots', 'html_param', 'experiment__', '_all_models', 'log_plots_param', 'fold_groups_param_full', 'target_param', 'X_test', 'exp_name_log', 'prep_pipe', 'iterative_imputation_iters_param', 'X_train', '_all_metrics', 'fold_generator', 'master_model_container', '_internal_pipeline', 'y_test', 'X', 'logging_param', 'n_jobs_param', 'data_before_preprocess', '_ml_usecase', 'transform_target_method_param', '_all_models_internal', 'create_model_container', 'fold_param'}
  39657. 2022-04-08 09:46:41,465:INFO:Preparing display monitor
  39658. 2022-04-08 09:46:41,465:INFO:Preparing display monitor
  39659. 2022-04-08 09:46:41,475:INFO:Importing libraries
  39660. 2022-04-08 09:46:41,475:INFO:Copying data for preprocessing
  39661. 2022-04-08 09:46:41,480:INFO:Declaring preprocessing parameters
  39662. 2022-04-08 09:46:41,482:INFO:Creating preprocessing pipeline
  39663. 2022-04-08 09:46:41,525:INFO:Preprocessing pipeline created successfully
  39664. 2022-04-08 09:46:41,525:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  39665. 2022-04-08 09:46:41,525:INFO:Creating global containers
  39666. 2022-04-08 09:46:41,526:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  39667. 2022-04-08 09:46:44,677:INFO:Creating grid variables
  39668. 2022-04-08 09:46:44,685:INFO:create_model_container: 0
  39669. 2022-04-08 09:46:44,685:INFO:master_model_container: 0
  39670. 2022-04-08 09:46:44,685:INFO:display_container: 1
  39671. 2022-04-08 09:46:44,688:INFO:Pipeline(memory=None,
  39672. steps=[('dtypes',
  39673. DataTypes_Auto_infer(categorical_features=[],
  39674. display_types=True, features_todrop=[],
  39675. id_columns=[],
  39676. ml_usecase='classification',
  39677. numerical_features=[], target='label',
  39678. time_features=[])),
  39679. ('imputer',
  39680. Simple_Imputer(categorical_strategy='not_available',
  39681. fill_value_categorical=None,
  39682. fill_value_numerical=None,
  39683. numeric_strate...
  39684. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39685. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39686. ('cluster_all', 'passthrough'),
  39687. ('dummy', Dummify(target='label')),
  39688. ('fix_perfect', Remove_100(target='label')),
  39689. ('clean_names', Clean_Colum_Names()),
  39690. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39691. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39692. verbose=False)
  39693. 2022-04-08 09:46:44,688:INFO:setup() succesfully completed......................................
  39694. 2022-04-08 09:46:46,990:INFO:Initializing load_model()
  39695. 2022-04-08 09:46:46,990:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
  39696. 2022-04-08 09:46:50,334:INFO:Initializing predict_model()
  39697. 2022-04-08 09:46:50,335:INFO:predict_model(estimator=Pipeline(memory=None,
  39698. steps=[('dtypes',
  39699. DataTypes_Auto_infer(categorical_features=[],
  39700. display_types=True, features_todrop=[],
  39701. id_columns=[],
  39702. ml_usecase='classification',
  39703. numerical_features=[], target='label',
  39704. time_features=[])),
  39705. ('imputer',
  39706. Simple_Imputer(categorical_strategy='not_available',
  39707. fill_value_categorical=None,
  39708. fill_value_numerical=None,
  39709. numeric_strate...
  39710. max_delta_step=0, max_depth=128, max_leaves=1024,
  39711. min_child_weight=1, missing=nan,
  39712. monotone_constraints='()', n_estimators=100,
  39713. n_jobs=-1, num_parallel_tree=1,
  39714. objective='binary:logistic', predictor='auto',
  39715. random_state=4505, reg_alpha=0, reg_lambda=1,
  39716. scale_pos_weight=1, subsample=1,
  39717. tree_method='gpu_hist', use_label_encoder=True,
  39718. validate_parameters=1, ...)]],
  39719. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  39720. 2022-04-08 09:46:50,335:INFO:Checking exceptions
  39721. 2022-04-08 09:46:50,335:INFO:Preloading libraries
  39722. 2022-04-08 09:46:50,335:INFO:Preparing display monitor
  39723. 2022-04-08 09:52:05,531:INFO:Initializing load_model()
  39724. 2022-04-08 09:52:05,531:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  39725. 2022-04-08 09:52:35,526:INFO:Initializing get_config()
  39726. 2022-04-08 09:52:35,526:INFO:get_config(variable=prep_pipe)
  39727. 2022-04-08 09:52:35,529:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  39728. steps=[('dtypes',
  39729. DataTypes_Auto_infer(categorical_features=[],
  39730. display_types=True, features_todrop=[],
  39731. id_columns=[],
  39732. ml_usecase='classification',
  39733. numerical_features=[], target='label',
  39734. time_features=[])),
  39735. ('imputer',
  39736. Simple_Imputer(categorical_strategy='not_available',
  39737. fill_value_categorical=None,
  39738. fill_value_numerical=None,
  39739. numeric_strate...
  39740. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39741. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39742. ('cluster_all', 'passthrough'),
  39743. ('dummy', Dummify(target='label')),
  39744. ('fix_perfect', Remove_100(target='label')),
  39745. ('clean_names', Clean_Colum_Names()),
  39746. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39747. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39748. verbose=False)
  39749. 2022-04-08 09:52:35,529:INFO:get_config() succesfully completed......................................
  39750. 2022-04-08 09:52:35,529:INFO:Initializing get_config()
  39751. 2022-04-08 09:52:35,529:INFO:get_config(variable=data_before_preprocess)
  39752. 2022-04-08 09:52:35,533:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  39753. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  39754. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  39755. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  39756. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  39757. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  39758. ... ... ... ... ... ... ... ... ... ... ...
  39759. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  39760. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  39761. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  39762. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  39763. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  39764. minute
  39765. 0 0
  39766. 1 1
  39767. 2 2
  39768. 3 3
  39769. 4 4
  39770. ... ...
  39771. 64795 55
  39772. 64796 56
  39773. 64797 57
  39774. 64798 58
  39775. 64799 59
  39776. [64800 rows x 11 columns]
  39777. 2022-04-08 09:52:35,533:INFO:get_config() succesfully completed......................................
  39778. 2022-04-08 09:52:35,535:INFO:Initializing get_config()
  39779. 2022-04-08 09:52:35,535:INFO:get_config(variable=prep_pipe)
  39780. 2022-04-08 09:52:35,538:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  39781. steps=[('dtypes',
  39782. DataTypes_Auto_infer(categorical_features=[],
  39783. display_types=True, features_todrop=[],
  39784. id_columns=[],
  39785. ml_usecase='classification',
  39786. numerical_features=[], target='label',
  39787. time_features=[])),
  39788. ('imputer',
  39789. Simple_Imputer(categorical_strategy='not_available',
  39790. fill_value_categorical=None,
  39791. fill_value_numerical=None,
  39792. numeric_strate...
  39793. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39794. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39795. ('cluster_all', 'passthrough'),
  39796. ('dummy', Dummify(target='label')),
  39797. ('fix_perfect', Remove_100(target='label')),
  39798. ('clean_names', Clean_Colum_Names()),
  39799. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39800. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39801. verbose=False)
  39802. 2022-04-08 09:52:35,538:INFO:get_config() succesfully completed......................................
  39803. 2022-04-08 09:52:35,538:INFO:Initializing get_config()
  39804. 2022-04-08 09:52:35,538:INFO:get_config(variable=prep_pipe)
  39805. 2022-04-08 09:52:35,540:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  39806. steps=[('dtypes',
  39807. DataTypes_Auto_infer(categorical_features=[],
  39808. display_types=True, features_todrop=[],
  39809. id_columns=[],
  39810. ml_usecase='classification',
  39811. numerical_features=[], target='label',
  39812. time_features=[])),
  39813. ('imputer',
  39814. Simple_Imputer(categorical_strategy='not_available',
  39815. fill_value_categorical=None,
  39816. fill_value_numerical=None,
  39817. numeric_strate...
  39818. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39819. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39820. ('cluster_all', 'passthrough'),
  39821. ('dummy', Dummify(target='label')),
  39822. ('fix_perfect', Remove_100(target='label')),
  39823. ('clean_names', Clean_Colum_Names()),
  39824. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39825. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39826. verbose=False)
  39827. 2022-04-08 09:52:35,540:INFO:get_config() succesfully completed......................................
  39828. 2022-04-08 09:52:35,540:INFO:Initializing get_config()
  39829. 2022-04-08 09:52:35,540:INFO:get_config(variable=prep_pipe)
  39830. 2022-04-08 09:52:35,543:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  39831. steps=[('dtypes',
  39832. DataTypes_Auto_infer(categorical_features=[],
  39833. display_types=True, features_todrop=[],
  39834. id_columns=[],
  39835. ml_usecase='classification',
  39836. numerical_features=[], target='label',
  39837. time_features=[])),
  39838. ('imputer',
  39839. Simple_Imputer(categorical_strategy='not_available',
  39840. fill_value_categorical=None,
  39841. fill_value_numerical=None,
  39842. numeric_strate...
  39843. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39844. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39845. ('cluster_all', 'passthrough'),
  39846. ('dummy', Dummify(target='label')),
  39847. ('fix_perfect', Remove_100(target='label')),
  39848. ('clean_names', Clean_Colum_Names()),
  39849. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39850. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39851. verbose=False)
  39852. 2022-04-08 09:52:35,543:INFO:get_config() succesfully completed......................................
  39853. 2022-04-08 09:52:35,553:INFO:Initializing save_model()
  39854. 2022-04-08 09:52:35,553:INFO:save_model(model=Pipeline(memory=None,
  39855. steps=[('dtypes',
  39856. DataTypes_Auto_infer(categorical_features=[],
  39857. display_types=True, features_todrop=[],
  39858. id_columns=[],
  39859. ml_usecase='classification',
  39860. numerical_features=[], target='label',
  39861. time_features=[])),
  39862. ('imputer',
  39863. Simple_Imputer(categorical_strategy='not_available',
  39864. fill_value_categorical=None,
  39865. fill_value_numerical=None,
  39866. numeric_strate...
  39867. max_delta_step=0, max_depth=128, max_leaves=1024,
  39868. min_child_weight=1, missing=nan,
  39869. monotone_constraints='()', n_estimators=100,
  39870. n_jobs=-1, num_parallel_tree=1,
  39871. objective='binary:logistic', predictor='auto',
  39872. random_state=4505, reg_alpha=0, reg_lambda=1,
  39873. scale_pos_weight=1, subsample=1,
  39874. tree_method='gpu_hist', use_label_encoder=True,
  39875. validate_parameters=1, ...)]],
  39876. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  39877. steps=[('dtypes',
  39878. DataTypes_Auto_infer(categorical_features=[],
  39879. display_types=True, features_todrop=[],
  39880. id_columns=[],
  39881. ml_usecase='classification',
  39882. numerical_features=[], target='label',
  39883. time_features=[])),
  39884. ('imputer',
  39885. Simple_Imputer(categorical_strategy='not_available',
  39886. fill_value_categorical=None,
  39887. fill_value_numerical=None,
  39888. numeric_strate...
  39889. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  39890. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  39891. ('cluster_all', 'passthrough'),
  39892. ('dummy', Dummify(target='label')),
  39893. ('fix_perfect', Remove_100(target='label')),
  39894. ('clean_names', Clean_Colum_Names()),
  39895. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  39896. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  39897. verbose=False), verbose=False, kwargs={})
  39898. 2022-04-08 09:52:35,553:INFO:Adding model into prep_pipe
  39899. 2022-04-08 09:52:35,919:WARNING:Only Model saved as it was a pipeline.
  39900. 2022-04-08 09:52:36,157:INFO:my_api.pkl saved in current working directory
  39901. 2022-04-08 09:52:36,164:INFO:Pipeline(memory=None,
  39902. steps=[('dtypes',
  39903. DataTypes_Auto_infer(categorical_features=[],
  39904. display_types=True, features_todrop=[],
  39905. id_columns=[],
  39906. ml_usecase='classification',
  39907. numerical_features=[], target='label',
  39908. time_features=[])),
  39909. ('imputer',
  39910. Simple_Imputer(categorical_strategy='not_available',
  39911. fill_value_categorical=None,
  39912. fill_value_numerical=None,
  39913. numeric_strate...
  39914. max_delta_step=0, max_depth=128, max_leaves=1024,
  39915. min_child_weight=1, missing=nan,
  39916. monotone_constraints='()', n_estimators=100,
  39917. n_jobs=-1, num_parallel_tree=1,
  39918. objective='binary:logistic', predictor='auto',
  39919. random_state=4505, reg_alpha=0, reg_lambda=1,
  39920. scale_pos_weight=1, subsample=1,
  39921. tree_method='gpu_hist', use_label_encoder=True,
  39922. validate_parameters=1, ...)]],
  39923. verbose=False)
  39924. 2022-04-08 09:52:36,164:INFO:save_model() successfully completed......................................
  39925. 2022-04-08 09:52:59,341:INFO:Initializing load_model()
  39926. 2022-04-08 09:52:59,342:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  39927. 2022-04-08 09:54:23,742:INFO:Initializing predict_model()
  39928. 2022-04-08 09:54:23,742:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  39929. DataTypes_Auto_infer(ml_usecase='classification',
  39930. target='label')),
  39931. ('imputer',
  39932. Simple_Imputer(categorical_strategy='not_available',
  39933. fill_value_categorical=None,
  39934. fill_value_numerical=None,
  39935. numeric_strategy='mean',
  39936. target_variable=None)),
  39937. ('new_levels1',
  39938. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  39939. 'frequent',
  39940. targe...
  39941. gamma=0, gpu_id=0, importance_type=None,
  39942. interaction_constraints='', learning_rate=0.005,
  39943. max_delta_step=0, max_depth=128, max_leaves=1024,
  39944. min_child_weight=1, missing=nan,
  39945. monotone_constraints='()', n_estimators=100,
  39946. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  39947. random_state=4505, reg_alpha=0, reg_lambda=1,
  39948. scale_pos_weight=1, subsample=1,
  39949. tree_method='gpu_hist', validate_parameters=1,
  39950. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  39951. 2022-04-08 09:54:23,743:INFO:Checking exceptions
  39952. 2022-04-08 09:54:23,743:INFO:Preloading libraries
  39953. 2022-04-08 09:54:25,830:INFO:Initializing predict_model()
  39954. 2022-04-08 09:54:25,830:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  39955. DataTypes_Auto_infer(ml_usecase='classification',
  39956. target='label')),
  39957. ('imputer',
  39958. Simple_Imputer(categorical_strategy='not_available',
  39959. fill_value_categorical=None,
  39960. fill_value_numerical=None,
  39961. numeric_strategy='mean',
  39962. target_variable=None)),
  39963. ('new_levels1',
  39964. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  39965. 'frequent',
  39966. targe...
  39967. gamma=0, gpu_id=0, importance_type=None,
  39968. interaction_constraints='', learning_rate=0.005,
  39969. max_delta_step=0, max_depth=128, max_leaves=1024,
  39970. min_child_weight=1, missing=nan,
  39971. monotone_constraints='()', n_estimators=100,
  39972. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  39973. random_state=4505, reg_alpha=0, reg_lambda=1,
  39974. scale_pos_weight=1, subsample=1,
  39975. tree_method='gpu_hist', validate_parameters=1,
  39976. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  39977. 2022-04-08 09:54:25,830:INFO:Checking exceptions
  39978. 2022-04-08 09:54:25,830:INFO:Preloading libraries
  39979. 2022-04-08 09:54:27,876:INFO:Initializing predict_model()
  39980. 2022-04-08 09:54:27,877:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  39981. DataTypes_Auto_infer(ml_usecase='classification',
  39982. target='label')),
  39983. ('imputer',
  39984. Simple_Imputer(categorical_strategy='not_available',
  39985. fill_value_categorical=None,
  39986. fill_value_numerical=None,
  39987. numeric_strategy='mean',
  39988. target_variable=None)),
  39989. ('new_levels1',
  39990. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  39991. 'frequent',
  39992. targe...
  39993. gamma=0, gpu_id=0, importance_type=None,
  39994. interaction_constraints='', learning_rate=0.005,
  39995. max_delta_step=0, max_depth=128, max_leaves=1024,
  39996. min_child_weight=1, missing=nan,
  39997. monotone_constraints='()', n_estimators=100,
  39998. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  39999. random_state=4505, reg_alpha=0, reg_lambda=1,
  40000. scale_pos_weight=1, subsample=1,
  40001. tree_method='gpu_hist', validate_parameters=1,
  40002. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40003. 2022-04-08 09:54:27,877:INFO:Checking exceptions
  40004. 2022-04-08 09:54:27,877:INFO:Preloading libraries
  40005. 2022-04-08 09:54:29,933:INFO:Initializing predict_model()
  40006. 2022-04-08 09:54:29,933:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40007. DataTypes_Auto_infer(ml_usecase='classification',
  40008. target='label')),
  40009. ('imputer',
  40010. Simple_Imputer(categorical_strategy='not_available',
  40011. fill_value_categorical=None,
  40012. fill_value_numerical=None,
  40013. numeric_strategy='mean',
  40014. target_variable=None)),
  40015. ('new_levels1',
  40016. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40017. 'frequent',
  40018. targe...
  40019. gamma=0, gpu_id=0, importance_type=None,
  40020. interaction_constraints='', learning_rate=0.005,
  40021. max_delta_step=0, max_depth=128, max_leaves=1024,
  40022. min_child_weight=1, missing=nan,
  40023. monotone_constraints='()', n_estimators=100,
  40024. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40025. random_state=4505, reg_alpha=0, reg_lambda=1,
  40026. scale_pos_weight=1, subsample=1,
  40027. tree_method='gpu_hist', validate_parameters=1,
  40028. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40029. 2022-04-08 09:54:29,933:INFO:Checking exceptions
  40030. 2022-04-08 09:54:29,933:INFO:Preloading libraries
  40031. 2022-04-08 09:54:31,979:INFO:Initializing predict_model()
  40032. 2022-04-08 09:54:31,979:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40033. DataTypes_Auto_infer(ml_usecase='classification',
  40034. target='label')),
  40035. ('imputer',
  40036. Simple_Imputer(categorical_strategy='not_available',
  40037. fill_value_categorical=None,
  40038. fill_value_numerical=None,
  40039. numeric_strategy='mean',
  40040. target_variable=None)),
  40041. ('new_levels1',
  40042. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40043. 'frequent',
  40044. targe...
  40045. gamma=0, gpu_id=0, importance_type=None,
  40046. interaction_constraints='', learning_rate=0.005,
  40047. max_delta_step=0, max_depth=128, max_leaves=1024,
  40048. min_child_weight=1, missing=nan,
  40049. monotone_constraints='()', n_estimators=100,
  40050. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40051. random_state=4505, reg_alpha=0, reg_lambda=1,
  40052. scale_pos_weight=1, subsample=1,
  40053. tree_method='gpu_hist', validate_parameters=1,
  40054. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40055. 2022-04-08 09:54:31,979:INFO:Checking exceptions
  40056. 2022-04-08 09:54:31,979:INFO:Preloading libraries
  40057. 2022-04-08 09:54:34,030:INFO:Initializing predict_model()
  40058. 2022-04-08 09:54:34,030:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40059. DataTypes_Auto_infer(ml_usecase='classification',
  40060. target='label')),
  40061. ('imputer',
  40062. Simple_Imputer(categorical_strategy='not_available',
  40063. fill_value_categorical=None,
  40064. fill_value_numerical=None,
  40065. numeric_strategy='mean',
  40066. target_variable=None)),
  40067. ('new_levels1',
  40068. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40069. 'frequent',
  40070. targe...
  40071. gamma=0, gpu_id=0, importance_type=None,
  40072. interaction_constraints='', learning_rate=0.005,
  40073. max_delta_step=0, max_depth=128, max_leaves=1024,
  40074. min_child_weight=1, missing=nan,
  40075. monotone_constraints='()', n_estimators=100,
  40076. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40077. random_state=4505, reg_alpha=0, reg_lambda=1,
  40078. scale_pos_weight=1, subsample=1,
  40079. tree_method='gpu_hist', validate_parameters=1,
  40080. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40081. 2022-04-08 09:54:34,030:INFO:Checking exceptions
  40082. 2022-04-08 09:54:34,030:INFO:Preloading libraries
  40083. 2022-04-08 09:54:36,076:INFO:Initializing predict_model()
  40084. 2022-04-08 09:54:36,076:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40085. DataTypes_Auto_infer(ml_usecase='classification',
  40086. target='label')),
  40087. ('imputer',
  40088. Simple_Imputer(categorical_strategy='not_available',
  40089. fill_value_categorical=None,
  40090. fill_value_numerical=None,
  40091. numeric_strategy='mean',
  40092. target_variable=None)),
  40093. ('new_levels1',
  40094. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40095. 'frequent',
  40096. targe...
  40097. gamma=0, gpu_id=0, importance_type=None,
  40098. interaction_constraints='', learning_rate=0.005,
  40099. max_delta_step=0, max_depth=128, max_leaves=1024,
  40100. min_child_weight=1, missing=nan,
  40101. monotone_constraints='()', n_estimators=100,
  40102. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40103. random_state=4505, reg_alpha=0, reg_lambda=1,
  40104. scale_pos_weight=1, subsample=1,
  40105. tree_method='gpu_hist', validate_parameters=1,
  40106. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40107. 2022-04-08 09:54:36,076:INFO:Checking exceptions
  40108. 2022-04-08 09:54:36,076:INFO:Preloading libraries
  40109. 2022-04-08 09:54:38,122:INFO:Initializing predict_model()
  40110. 2022-04-08 09:54:38,122:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40111. DataTypes_Auto_infer(ml_usecase='classification',
  40112. target='label')),
  40113. ('imputer',
  40114. Simple_Imputer(categorical_strategy='not_available',
  40115. fill_value_categorical=None,
  40116. fill_value_numerical=None,
  40117. numeric_strategy='mean',
  40118. target_variable=None)),
  40119. ('new_levels1',
  40120. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40121. 'frequent',
  40122. targe...
  40123. gamma=0, gpu_id=0, importance_type=None,
  40124. interaction_constraints='', learning_rate=0.005,
  40125. max_delta_step=0, max_depth=128, max_leaves=1024,
  40126. min_child_weight=1, missing=nan,
  40127. monotone_constraints='()', n_estimators=100,
  40128. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40129. random_state=4505, reg_alpha=0, reg_lambda=1,
  40130. scale_pos_weight=1, subsample=1,
  40131. tree_method='gpu_hist', validate_parameters=1,
  40132. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40133. 2022-04-08 09:54:38,122:INFO:Checking exceptions
  40134. 2022-04-08 09:54:38,122:INFO:Preloading libraries
  40135. 2022-04-08 09:54:40,168:INFO:Initializing predict_model()
  40136. 2022-04-08 09:54:40,168:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40137. DataTypes_Auto_infer(ml_usecase='classification',
  40138. target='label')),
  40139. ('imputer',
  40140. Simple_Imputer(categorical_strategy='not_available',
  40141. fill_value_categorical=None,
  40142. fill_value_numerical=None,
  40143. numeric_strategy='mean',
  40144. target_variable=None)),
  40145. ('new_levels1',
  40146. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40147. 'frequent',
  40148. targe...
  40149. gamma=0, gpu_id=0, importance_type=None,
  40150. interaction_constraints='', learning_rate=0.005,
  40151. max_delta_step=0, max_depth=128, max_leaves=1024,
  40152. min_child_weight=1, missing=nan,
  40153. monotone_constraints='()', n_estimators=100,
  40154. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40155. random_state=4505, reg_alpha=0, reg_lambda=1,
  40156. scale_pos_weight=1, subsample=1,
  40157. tree_method='gpu_hist', validate_parameters=1,
  40158. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40159. 2022-04-08 09:54:40,168:INFO:Checking exceptions
  40160. 2022-04-08 09:54:40,168:INFO:Preloading libraries
  40161. 2022-04-08 09:54:42,224:INFO:Initializing predict_model()
  40162. 2022-04-08 09:54:42,224:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40163. DataTypes_Auto_infer(ml_usecase='classification',
  40164. target='label')),
  40165. ('imputer',
  40166. Simple_Imputer(categorical_strategy='not_available',
  40167. fill_value_categorical=None,
  40168. fill_value_numerical=None,
  40169. numeric_strategy='mean',
  40170. target_variable=None)),
  40171. ('new_levels1',
  40172. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40173. 'frequent',
  40174. targe...
  40175. gamma=0, gpu_id=0, importance_type=None,
  40176. interaction_constraints='', learning_rate=0.005,
  40177. max_delta_step=0, max_depth=128, max_leaves=1024,
  40178. min_child_weight=1, missing=nan,
  40179. monotone_constraints='()', n_estimators=100,
  40180. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40181. random_state=4505, reg_alpha=0, reg_lambda=1,
  40182. scale_pos_weight=1, subsample=1,
  40183. tree_method='gpu_hist', validate_parameters=1,
  40184. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40185. 2022-04-08 09:54:42,224:INFO:Checking exceptions
  40186. 2022-04-08 09:54:42,224:INFO:Preloading libraries
  40187. 2022-04-08 09:55:06,927:INFO:Initializing predict_model()
  40188. 2022-04-08 09:55:06,927:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40189. DataTypes_Auto_infer(ml_usecase='classification',
  40190. target='label')),
  40191. ('imputer',
  40192. Simple_Imputer(categorical_strategy='not_available',
  40193. fill_value_categorical=None,
  40194. fill_value_numerical=None,
  40195. numeric_strategy='mean',
  40196. target_variable=None)),
  40197. ('new_levels1',
  40198. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40199. 'frequent',
  40200. targe...
  40201. gamma=0, gpu_id=0, importance_type=None,
  40202. interaction_constraints='', learning_rate=0.005,
  40203. max_delta_step=0, max_depth=128, max_leaves=1024,
  40204. min_child_weight=1, missing=nan,
  40205. monotone_constraints='()', n_estimators=100,
  40206. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40207. random_state=4505, reg_alpha=0, reg_lambda=1,
  40208. scale_pos_weight=1, subsample=1,
  40209. tree_method='gpu_hist', validate_parameters=1,
  40210. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40211. 2022-04-08 09:55:06,927:INFO:Checking exceptions
  40212. 2022-04-08 09:55:06,927:INFO:Preloading libraries
  40213. 2022-04-08 09:55:45,438:INFO:Initializing predict_model()
  40214. 2022-04-08 09:55:45,438:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40215. DataTypes_Auto_infer(ml_usecase='classification',
  40216. target='label')),
  40217. ('imputer',
  40218. Simple_Imputer(categorical_strategy='not_available',
  40219. fill_value_categorical=None,
  40220. fill_value_numerical=None,
  40221. numeric_strategy='mean',
  40222. target_variable=None)),
  40223. ('new_levels1',
  40224. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40225. 'frequent',
  40226. targe...
  40227. gamma=0, gpu_id=0, importance_type=None,
  40228. interaction_constraints='', learning_rate=0.005,
  40229. max_delta_step=0, max_depth=128, max_leaves=1024,
  40230. min_child_weight=1, missing=nan,
  40231. monotone_constraints='()', n_estimators=100,
  40232. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40233. random_state=4505, reg_alpha=0, reg_lambda=1,
  40234. scale_pos_weight=1, subsample=1,
  40235. tree_method='gpu_hist', validate_parameters=1,
  40236. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40237. 2022-04-08 09:55:45,438:INFO:Checking exceptions
  40238. 2022-04-08 09:55:45,438:INFO:Preloading libraries
  40239. 2022-04-08 09:56:38,122:INFO:Initializing load_model()
  40240. 2022-04-08 09:56:38,123:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  40241. 2022-04-08 09:56:47,294:INFO:Initializing predict_model()
  40242. 2022-04-08 09:56:47,294:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40243. DataTypes_Auto_infer(ml_usecase='classification',
  40244. target='label')),
  40245. ('imputer',
  40246. Simple_Imputer(categorical_strategy='not_available',
  40247. fill_value_categorical=None,
  40248. fill_value_numerical=None,
  40249. numeric_strategy='mean',
  40250. target_variable=None)),
  40251. ('new_levels1',
  40252. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40253. 'frequent',
  40254. targe...
  40255. gamma=0, gpu_id=0, importance_type=None,
  40256. interaction_constraints='', learning_rate=0.005,
  40257. max_delta_step=0, max_depth=128, max_leaves=1024,
  40258. min_child_weight=1, missing=nan,
  40259. monotone_constraints='()', n_estimators=100,
  40260. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40261. random_state=4505, reg_alpha=0, reg_lambda=1,
  40262. scale_pos_weight=1, subsample=1,
  40263. tree_method='gpu_hist', validate_parameters=1,
  40264. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40265. 2022-04-08 09:56:47,294:INFO:Checking exceptions
  40266. 2022-04-08 09:56:47,294:INFO:Preloading libraries
  40267. 2022-04-08 09:56:51,462:INFO:Initializing predict_model()
  40268. 2022-04-08 09:56:51,462:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40269. DataTypes_Auto_infer(ml_usecase='classification',
  40270. target='label')),
  40271. ('imputer',
  40272. Simple_Imputer(categorical_strategy='not_available',
  40273. fill_value_categorical=None,
  40274. fill_value_numerical=None,
  40275. numeric_strategy='mean',
  40276. target_variable=None)),
  40277. ('new_levels1',
  40278. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40279. 'frequent',
  40280. targe...
  40281. gamma=0, gpu_id=0, importance_type=None,
  40282. interaction_constraints='', learning_rate=0.005,
  40283. max_delta_step=0, max_depth=128, max_leaves=1024,
  40284. min_child_weight=1, missing=nan,
  40285. monotone_constraints='()', n_estimators=100,
  40286. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40287. random_state=4505, reg_alpha=0, reg_lambda=1,
  40288. scale_pos_weight=1, subsample=1,
  40289. tree_method='gpu_hist', validate_parameters=1,
  40290. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40291. 2022-04-08 09:56:51,463:INFO:Checking exceptions
  40292. 2022-04-08 09:56:51,463:INFO:Preloading libraries
  40293. 2022-04-08 09:57:19,864:INFO:Initializing predict_model()
  40294. 2022-04-08 09:57:19,864:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40295. DataTypes_Auto_infer(ml_usecase='classification',
  40296. target='label')),
  40297. ('imputer',
  40298. Simple_Imputer(categorical_strategy='not_available',
  40299. fill_value_categorical=None,
  40300. fill_value_numerical=None,
  40301. numeric_strategy='mean',
  40302. target_variable=None)),
  40303. ('new_levels1',
  40304. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40305. 'frequent',
  40306. targe...
  40307. gamma=0, gpu_id=0, importance_type=None,
  40308. interaction_constraints='', learning_rate=0.005,
  40309. max_delta_step=0, max_depth=128, max_leaves=1024,
  40310. min_child_weight=1, missing=nan,
  40311. monotone_constraints='()', n_estimators=100,
  40312. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40313. random_state=4505, reg_alpha=0, reg_lambda=1,
  40314. scale_pos_weight=1, subsample=1,
  40315. tree_method='gpu_hist', validate_parameters=1,
  40316. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40317. 2022-04-08 09:57:19,864:INFO:Checking exceptions
  40318. 2022-04-08 09:57:19,864:INFO:Preloading libraries
  40319. 2022-04-08 09:57:57,694:INFO:Initializing predict_model()
  40320. 2022-04-08 09:57:57,694:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40321. DataTypes_Auto_infer(ml_usecase='classification',
  40322. target='label')),
  40323. ('imputer',
  40324. Simple_Imputer(categorical_strategy='not_available',
  40325. fill_value_categorical=None,
  40326. fill_value_numerical=None,
  40327. numeric_strategy='mean',
  40328. target_variable=None)),
  40329. ('new_levels1',
  40330. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40331. 'frequent',
  40332. targe...
  40333. gamma=0, gpu_id=0, importance_type=None,
  40334. interaction_constraints='', learning_rate=0.005,
  40335. max_delta_step=0, max_depth=128, max_leaves=1024,
  40336. min_child_weight=1, missing=nan,
  40337. monotone_constraints='()', n_estimators=100,
  40338. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40339. random_state=4505, reg_alpha=0, reg_lambda=1,
  40340. scale_pos_weight=1, subsample=1,
  40341. tree_method='gpu_hist', validate_parameters=1,
  40342. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40343. 2022-04-08 09:57:57,695:INFO:Checking exceptions
  40344. 2022-04-08 09:57:57,695:INFO:Preloading libraries
  40345. 2022-04-08 10:08:16,422:INFO:Initializing load_model()
  40346. 2022-04-08 10:08:16,422:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  40347. 2022-04-08 10:28:05,804:INFO:Initializing load_model()
  40348. 2022-04-08 10:28:05,805:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  40349. 2022-04-08 10:28:49,924:INFO:Initializing predict_model()
  40350. 2022-04-08 10:28:49,924:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40351. DataTypes_Auto_infer(ml_usecase='classification',
  40352. target='label')),
  40353. ('imputer',
  40354. Simple_Imputer(categorical_strategy='not_available',
  40355. fill_value_categorical=None,
  40356. fill_value_numerical=None,
  40357. numeric_strategy='mean',
  40358. target_variable=None)),
  40359. ('new_levels1',
  40360. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40361. 'frequent',
  40362. targe...
  40363. gamma=0, gpu_id=0, importance_type=None,
  40364. interaction_constraints='', learning_rate=0.005,
  40365. max_delta_step=0, max_depth=128, max_leaves=1024,
  40366. min_child_weight=1, missing=nan,
  40367. monotone_constraints='()', n_estimators=100,
  40368. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40369. random_state=4505, reg_alpha=0, reg_lambda=1,
  40370. scale_pos_weight=1, subsample=1,
  40371. tree_method='gpu_hist', validate_parameters=1,
  40372. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40373. 2022-04-08 10:28:49,924:INFO:Checking exceptions
  40374. 2022-04-08 10:28:49,924:INFO:Preloading libraries
  40375. 2022-04-08 10:28:51,982:INFO:Initializing predict_model()
  40376. 2022-04-08 10:28:51,982:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40377. DataTypes_Auto_infer(ml_usecase='classification',
  40378. target='label')),
  40379. ('imputer',
  40380. Simple_Imputer(categorical_strategy='not_available',
  40381. fill_value_categorical=None,
  40382. fill_value_numerical=None,
  40383. numeric_strategy='mean',
  40384. target_variable=None)),
  40385. ('new_levels1',
  40386. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40387. 'frequent',
  40388. targe...
  40389. gamma=0, gpu_id=0, importance_type=None,
  40390. interaction_constraints='', learning_rate=0.005,
  40391. max_delta_step=0, max_depth=128, max_leaves=1024,
  40392. min_child_weight=1, missing=nan,
  40393. monotone_constraints='()', n_estimators=100,
  40394. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40395. random_state=4505, reg_alpha=0, reg_lambda=1,
  40396. scale_pos_weight=1, subsample=1,
  40397. tree_method='gpu_hist', validate_parameters=1,
  40398. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40399. 2022-04-08 10:28:51,982:INFO:Checking exceptions
  40400. 2022-04-08 10:28:51,982:INFO:Preloading libraries
  40401. 2022-04-08 10:28:54,040:INFO:Initializing predict_model()
  40402. 2022-04-08 10:28:54,040:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40403. DataTypes_Auto_infer(ml_usecase='classification',
  40404. target='label')),
  40405. ('imputer',
  40406. Simple_Imputer(categorical_strategy='not_available',
  40407. fill_value_categorical=None,
  40408. fill_value_numerical=None,
  40409. numeric_strategy='mean',
  40410. target_variable=None)),
  40411. ('new_levels1',
  40412. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40413. 'frequent',
  40414. targe...
  40415. gamma=0, gpu_id=0, importance_type=None,
  40416. interaction_constraints='', learning_rate=0.005,
  40417. max_delta_step=0, max_depth=128, max_leaves=1024,
  40418. min_child_weight=1, missing=nan,
  40419. monotone_constraints='()', n_estimators=100,
  40420. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40421. random_state=4505, reg_alpha=0, reg_lambda=1,
  40422. scale_pos_weight=1, subsample=1,
  40423. tree_method='gpu_hist', validate_parameters=1,
  40424. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40425. 2022-04-08 10:28:54,040:INFO:Checking exceptions
  40426. 2022-04-08 10:28:54,040:INFO:Preloading libraries
  40427. 2022-04-08 10:28:56,088:INFO:Initializing predict_model()
  40428. 2022-04-08 10:28:56,088:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40429. DataTypes_Auto_infer(ml_usecase='classification',
  40430. target='label')),
  40431. ('imputer',
  40432. Simple_Imputer(categorical_strategy='not_available',
  40433. fill_value_categorical=None,
  40434. fill_value_numerical=None,
  40435. numeric_strategy='mean',
  40436. target_variable=None)),
  40437. ('new_levels1',
  40438. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40439. 'frequent',
  40440. targe...
  40441. gamma=0, gpu_id=0, importance_type=None,
  40442. interaction_constraints='', learning_rate=0.005,
  40443. max_delta_step=0, max_depth=128, max_leaves=1024,
  40444. min_child_weight=1, missing=nan,
  40445. monotone_constraints='()', n_estimators=100,
  40446. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40447. random_state=4505, reg_alpha=0, reg_lambda=1,
  40448. scale_pos_weight=1, subsample=1,
  40449. tree_method='gpu_hist', validate_parameters=1,
  40450. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40451. 2022-04-08 10:28:56,088:INFO:Checking exceptions
  40452. 2022-04-08 10:28:56,088:INFO:Preloading libraries
  40453. 2022-04-08 10:28:58,145:INFO:Initializing predict_model()
  40454. 2022-04-08 10:28:58,145:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40455. DataTypes_Auto_infer(ml_usecase='classification',
  40456. target='label')),
  40457. ('imputer',
  40458. Simple_Imputer(categorical_strategy='not_available',
  40459. fill_value_categorical=None,
  40460. fill_value_numerical=None,
  40461. numeric_strategy='mean',
  40462. target_variable=None)),
  40463. ('new_levels1',
  40464. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40465. 'frequent',
  40466. targe...
  40467. gamma=0, gpu_id=0, importance_type=None,
  40468. interaction_constraints='', learning_rate=0.005,
  40469. max_delta_step=0, max_depth=128, max_leaves=1024,
  40470. min_child_weight=1, missing=nan,
  40471. monotone_constraints='()', n_estimators=100,
  40472. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40473. random_state=4505, reg_alpha=0, reg_lambda=1,
  40474. scale_pos_weight=1, subsample=1,
  40475. tree_method='gpu_hist', validate_parameters=1,
  40476. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40477. 2022-04-08 10:28:58,145:INFO:Checking exceptions
  40478. 2022-04-08 10:28:58,145:INFO:Preloading libraries
  40479. 2022-04-08 10:29:00,192:INFO:Initializing predict_model()
  40480. 2022-04-08 10:29:00,192:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40481. DataTypes_Auto_infer(ml_usecase='classification',
  40482. target='label')),
  40483. ('imputer',
  40484. Simple_Imputer(categorical_strategy='not_available',
  40485. fill_value_categorical=None,
  40486. fill_value_numerical=None,
  40487. numeric_strategy='mean',
  40488. target_variable=None)),
  40489. ('new_levels1',
  40490. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40491. 'frequent',
  40492. targe...
  40493. gamma=0, gpu_id=0, importance_type=None,
  40494. interaction_constraints='', learning_rate=0.005,
  40495. max_delta_step=0, max_depth=128, max_leaves=1024,
  40496. min_child_weight=1, missing=nan,
  40497. monotone_constraints='()', n_estimators=100,
  40498. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40499. random_state=4505, reg_alpha=0, reg_lambda=1,
  40500. scale_pos_weight=1, subsample=1,
  40501. tree_method='gpu_hist', validate_parameters=1,
  40502. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40503. 2022-04-08 10:29:00,192:INFO:Checking exceptions
  40504. 2022-04-08 10:29:00,192:INFO:Preloading libraries
  40505. 2022-04-08 10:29:02,234:INFO:Initializing predict_model()
  40506. 2022-04-08 10:29:02,234:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40507. DataTypes_Auto_infer(ml_usecase='classification',
  40508. target='label')),
  40509. ('imputer',
  40510. Simple_Imputer(categorical_strategy='not_available',
  40511. fill_value_categorical=None,
  40512. fill_value_numerical=None,
  40513. numeric_strategy='mean',
  40514. target_variable=None)),
  40515. ('new_levels1',
  40516. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40517. 'frequent',
  40518. targe...
  40519. gamma=0, gpu_id=0, importance_type=None,
  40520. interaction_constraints='', learning_rate=0.005,
  40521. max_delta_step=0, max_depth=128, max_leaves=1024,
  40522. min_child_weight=1, missing=nan,
  40523. monotone_constraints='()', n_estimators=100,
  40524. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40525. random_state=4505, reg_alpha=0, reg_lambda=1,
  40526. scale_pos_weight=1, subsample=1,
  40527. tree_method='gpu_hist', validate_parameters=1,
  40528. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40529. 2022-04-08 10:29:02,234:INFO:Checking exceptions
  40530. 2022-04-08 10:29:02,234:INFO:Preloading libraries
  40531. 2022-04-08 10:29:04,285:INFO:Initializing predict_model()
  40532. 2022-04-08 10:29:04,286:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40533. DataTypes_Auto_infer(ml_usecase='classification',
  40534. target='label')),
  40535. ('imputer',
  40536. Simple_Imputer(categorical_strategy='not_available',
  40537. fill_value_categorical=None,
  40538. fill_value_numerical=None,
  40539. numeric_strategy='mean',
  40540. target_variable=None)),
  40541. ('new_levels1',
  40542. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40543. 'frequent',
  40544. targe...
  40545. gamma=0, gpu_id=0, importance_type=None,
  40546. interaction_constraints='', learning_rate=0.005,
  40547. max_delta_step=0, max_depth=128, max_leaves=1024,
  40548. min_child_weight=1, missing=nan,
  40549. monotone_constraints='()', n_estimators=100,
  40550. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40551. random_state=4505, reg_alpha=0, reg_lambda=1,
  40552. scale_pos_weight=1, subsample=1,
  40553. tree_method='gpu_hist', validate_parameters=1,
  40554. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40555. 2022-04-08 10:29:04,286:INFO:Checking exceptions
  40556. 2022-04-08 10:29:04,286:INFO:Preloading libraries
  40557. 2022-04-08 10:29:06,337:INFO:Initializing predict_model()
  40558. 2022-04-08 10:29:06,337:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40559. DataTypes_Auto_infer(ml_usecase='classification',
  40560. target='label')),
  40561. ('imputer',
  40562. Simple_Imputer(categorical_strategy='not_available',
  40563. fill_value_categorical=None,
  40564. fill_value_numerical=None,
  40565. numeric_strategy='mean',
  40566. target_variable=None)),
  40567. ('new_levels1',
  40568. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40569. 'frequent',
  40570. targe...
  40571. gamma=0, gpu_id=0, importance_type=None,
  40572. interaction_constraints='', learning_rate=0.005,
  40573. max_delta_step=0, max_depth=128, max_leaves=1024,
  40574. min_child_weight=1, missing=nan,
  40575. monotone_constraints='()', n_estimators=100,
  40576. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40577. random_state=4505, reg_alpha=0, reg_lambda=1,
  40578. scale_pos_weight=1, subsample=1,
  40579. tree_method='gpu_hist', validate_parameters=1,
  40580. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40581. 2022-04-08 10:29:06,337:INFO:Checking exceptions
  40582. 2022-04-08 10:29:06,337:INFO:Preloading libraries
  40583. 2022-04-08 10:29:08,391:INFO:Initializing predict_model()
  40584. 2022-04-08 10:29:08,391:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40585. DataTypes_Auto_infer(ml_usecase='classification',
  40586. target='label')),
  40587. ('imputer',
  40588. Simple_Imputer(categorical_strategy='not_available',
  40589. fill_value_categorical=None,
  40590. fill_value_numerical=None,
  40591. numeric_strategy='mean',
  40592. target_variable=None)),
  40593. ('new_levels1',
  40594. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40595. 'frequent',
  40596. targe...
  40597. gamma=0, gpu_id=0, importance_type=None,
  40598. interaction_constraints='', learning_rate=0.005,
  40599. max_delta_step=0, max_depth=128, max_leaves=1024,
  40600. min_child_weight=1, missing=nan,
  40601. monotone_constraints='()', n_estimators=100,
  40602. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40603. random_state=4505, reg_alpha=0, reg_lambda=1,
  40604. scale_pos_weight=1, subsample=1,
  40605. tree_method='gpu_hist', validate_parameters=1,
  40606. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40607. 2022-04-08 10:29:08,391:INFO:Checking exceptions
  40608. 2022-04-08 10:29:08,391:INFO:Preloading libraries
  40609. 2022-04-08 11:23:20,741:INFO:Initializing load_model()
  40610. 2022-04-08 11:23:20,741:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  40611. 2022-04-08 11:23:29,043:INFO:Initializing predict_model()
  40612. 2022-04-08 11:23:29,043:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40613. DataTypes_Auto_infer(ml_usecase='classification',
  40614. target='label')),
  40615. ('imputer',
  40616. Simple_Imputer(categorical_strategy='not_available',
  40617. fill_value_categorical=None,
  40618. fill_value_numerical=None,
  40619. numeric_strategy='mean',
  40620. target_variable=None)),
  40621. ('new_levels1',
  40622. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40623. 'frequent',
  40624. targe...
  40625. gamma=0, gpu_id=0, importance_type=None,
  40626. interaction_constraints='', learning_rate=0.005,
  40627. max_delta_step=0, max_depth=128, max_leaves=1024,
  40628. min_child_weight=1, missing=nan,
  40629. monotone_constraints='()', n_estimators=100,
  40630. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40631. random_state=4505, reg_alpha=0, reg_lambda=1,
  40632. scale_pos_weight=1, subsample=1,
  40633. tree_method='gpu_hist', validate_parameters=1,
  40634. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40635. 2022-04-08 11:23:29,043:INFO:Checking exceptions
  40636. 2022-04-08 11:23:29,043:INFO:Preloading libraries
  40637. 2022-04-08 11:23:48,314:INFO:Initializing predict_model()
  40638. 2022-04-08 11:23:48,314:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40639. DataTypes_Auto_infer(ml_usecase='classification',
  40640. target='label')),
  40641. ('imputer',
  40642. Simple_Imputer(categorical_strategy='not_available',
  40643. fill_value_categorical=None,
  40644. fill_value_numerical=None,
  40645. numeric_strategy='mean',
  40646. target_variable=None)),
  40647. ('new_levels1',
  40648. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40649. 'frequent',
  40650. targe...
  40651. gamma=0, gpu_id=0, importance_type=None,
  40652. interaction_constraints='', learning_rate=0.005,
  40653. max_delta_step=0, max_depth=128, max_leaves=1024,
  40654. min_child_weight=1, missing=nan,
  40655. monotone_constraints='()', n_estimators=100,
  40656. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40657. random_state=4505, reg_alpha=0, reg_lambda=1,
  40658. scale_pos_weight=1, subsample=1,
  40659. tree_method='gpu_hist', validate_parameters=1,
  40660. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40661. 2022-04-08 11:23:48,314:INFO:Checking exceptions
  40662. 2022-04-08 11:23:48,314:INFO:Preloading libraries
  40663. 2022-04-08 14:19:08,717:INFO:PyCaret Supervised Module
  40664. 2022-04-08 14:19:08,718:INFO:ML Usecase: classification
  40665. 2022-04-08 14:19:08,718:INFO:version 2.3.9
  40666. 2022-04-08 14:19:08,718:INFO:Initializing setup()
  40667. 2022-04-08 14:19:08,718:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  40668. 2022-04-08 14:19:08,719:INFO:Checking environment
  40669. 2022-04-08 14:19:08,719:INFO:python_version: 3.8.13
  40670. 2022-04-08 14:19:08,719:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  40671. 2022-04-08 14:19:08,719:INFO:machine: x86_64
  40672. 2022-04-08 14:19:08,719:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  40673. 2022-04-08 14:19:08,719:INFO:Memory: svmem(total=33619935232, available=30285541376, percent=9.9, used=2521563136, free=27604869120, active=784076800, inactive=4718186496, buffers=174161920, cached=3319341056, shared=383385600, slab=228515840)
  40674. 2022-04-08 14:19:08,720:INFO:Physical Core: 16
  40675. 2022-04-08 14:19:08,720:INFO:Logical Core: 32
  40676. 2022-04-08 14:19:08,720:INFO:Checking libraries
  40677. 2022-04-08 14:19:08,720:INFO:pd==1.4.2
  40678. 2022-04-08 14:19:08,721:INFO:numpy==1.19.5
  40679. 2022-04-08 14:19:08,721:INFO:sklearn==0.23.2
  40680. 2022-04-08 14:19:08,721:INFO:lightgbm==3.3.2
  40681. 2022-04-08 14:19:08,721:WARNING:catboost not found
  40682. 2022-04-08 14:19:08,743:INFO:xgboost==1.5.2
  40683. 2022-04-08 14:19:08,744:INFO:mlflow==1.24.0
  40684. 2022-04-08 14:19:08,744:INFO:Checking Exceptions
  40685. 2022-04-08 14:19:08,744:INFO:Declaring global variables
  40686. 2022-04-08 14:19:08,744:INFO:USI: c791
  40687. 2022-04-08 14:19:08,745:INFO:pycaret_globals: {'X_train', 'exp_name_log', 'experiment__', '_all_metrics', 'imputation_classifier', 'stratify_param', 'gpu_param', '_available_plots', 'fold_param', 'prep_pipe', 'fix_imbalance_method_param', 'iterative_imputation_iters_param', 'n_jobs_param', 'y_train', 'master_model_container', '_internal_pipeline', 'fix_imbalance_param', 'X', 'fold_groups_param', 'imputation_regressor', 'logging_param', 'pycaret_globals', 'y', '_gpu_n_jobs_param', 'target_param', 'transform_target_param', 'create_model_container', 'display_container', 'fold_groups_param_full', 'html_param', 'fold_shuffle_param', '_all_models_internal', '_all_models', 'dashboard_logger', 'log_plots_param', 'seed', 'data_before_preprocess', '_ml_usecase', 'X_test', 'y_test', 'transform_target_method_param', 'USI', 'fold_generator'}
  40688. 2022-04-08 14:19:08,745:INFO:Preparing display monitor
  40689. 2022-04-08 14:19:08,745:INFO:Preparing display monitor
  40690. 2022-04-08 14:19:08,754:INFO:Importing libraries
  40691. 2022-04-08 14:19:08,754:INFO:Copying data for preprocessing
  40692. 2022-04-08 14:19:08,759:INFO:Declaring preprocessing parameters
  40693. 2022-04-08 14:19:08,763:INFO:Creating preprocessing pipeline
  40694. 2022-04-08 14:19:08,792:INFO:Preprocessing pipeline created successfully
  40695. 2022-04-08 14:19:08,792:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  40696. 2022-04-08 14:19:08,792:INFO:Creating global containers
  40697. 2022-04-08 14:19:08,793:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  40698. 2022-04-08 14:19:10,881:WARNING:Couldn't import catboost.CatBoostClassifier
  40699. 2022-04-08 14:19:10,929:WARNING:Couldn't import catboost.CatBoostClassifier
  40700. 2022-04-08 14:19:10,930:INFO:Creating grid variables
  40701. 2022-04-08 14:19:10,937:INFO:create_model_container: 0
  40702. 2022-04-08 14:19:10,937:INFO:master_model_container: 0
  40703. 2022-04-08 14:19:10,937:INFO:display_container: 1
  40704. 2022-04-08 14:19:10,940:INFO:Pipeline(memory=None,
  40705. steps=[('dtypes',
  40706. DataTypes_Auto_infer(categorical_features=[],
  40707. display_types=True, features_todrop=[],
  40708. id_columns=[],
  40709. ml_usecase='classification',
  40710. numerical_features=[], target='label',
  40711. time_features=[])),
  40712. ('imputer',
  40713. Simple_Imputer(categorical_strategy='not_available',
  40714. fill_value_categorical=None,
  40715. fill_value_numerical=None,
  40716. numeric_strate...
  40717. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  40718. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  40719. ('cluster_all', 'passthrough'),
  40720. ('dummy', Dummify(target='label')),
  40721. ('fix_perfect', Remove_100(target='label')),
  40722. ('clean_names', Clean_Colum_Names()),
  40723. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  40724. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  40725. verbose=False)
  40726. 2022-04-08 14:19:10,940:INFO:setup() succesfully completed......................................
  40727. 2022-04-08 14:19:15,948:INFO:Initializing load_model()
  40728. 2022-04-08 14:19:15,949:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
  40729. 2022-04-08 14:19:18,997:INFO:Initializing predict_model()
  40730. 2022-04-08 14:19:18,997:INFO:predict_model(estimator=Pipeline(memory=None,
  40731. steps=[('dtypes',
  40732. DataTypes_Auto_infer(categorical_features=[],
  40733. display_types=True, features_todrop=[],
  40734. id_columns=[],
  40735. ml_usecase='classification',
  40736. numerical_features=[], target='label',
  40737. time_features=[])),
  40738. ('imputer',
  40739. Simple_Imputer(categorical_strategy='not_available',
  40740. fill_value_categorical=None,
  40741. fill_value_numerical=None,
  40742. numeric_strate...
  40743. max_delta_step=0, max_depth=128, max_leaves=1024,
  40744. min_child_weight=1, missing=nan,
  40745. monotone_constraints='()', n_estimators=100,
  40746. n_jobs=-1, num_parallel_tree=1,
  40747. objective='binary:logistic', predictor='auto',
  40748. random_state=4505, reg_alpha=0, reg_lambda=1,
  40749. scale_pos_weight=1, subsample=1,
  40750. tree_method='gpu_hist', use_label_encoder=True,
  40751. validate_parameters=1, ...)]],
  40752. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40753. 2022-04-08 14:19:18,997:INFO:Checking exceptions
  40754. 2022-04-08 14:19:18,997:INFO:Preloading libraries
  40755. 2022-04-08 14:19:18,998:INFO:Preparing display monitor
  40756. 2022-04-08 14:19:23,424:INFO:Initializing get_config()
  40757. 2022-04-08 14:19:23,424:INFO:get_config(variable=prep_pipe)
  40758. 2022-04-08 14:19:23,426:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  40759. steps=[('dtypes',
  40760. DataTypes_Auto_infer(categorical_features=[],
  40761. display_types=True, features_todrop=[],
  40762. id_columns=[],
  40763. ml_usecase='classification',
  40764. numerical_features=[], target='label',
  40765. time_features=[])),
  40766. ('imputer',
  40767. Simple_Imputer(categorical_strategy='not_available',
  40768. fill_value_categorical=None,
  40769. fill_value_numerical=None,
  40770. numeric_strate...
  40771. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  40772. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  40773. ('cluster_all', 'passthrough'),
  40774. ('dummy', Dummify(target='label')),
  40775. ('fix_perfect', Remove_100(target='label')),
  40776. ('clean_names', Clean_Colum_Names()),
  40777. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  40778. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  40779. verbose=False)
  40780. 2022-04-08 14:19:23,426:INFO:get_config() succesfully completed......................................
  40781. 2022-04-08 14:19:23,426:INFO:Initializing get_config()
  40782. 2022-04-08 14:19:23,427:INFO:get_config(variable=data_before_preprocess)
  40783. 2022-04-08 14:19:23,430:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  40784. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  40785. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  40786. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  40787. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  40788. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  40789. ... ... ... ... ... ... ... ... ... ... ...
  40790. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  40791. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  40792. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  40793. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  40794. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  40795. minute
  40796. 0 0
  40797. 1 1
  40798. 2 2
  40799. 3 3
  40800. 4 4
  40801. ... ...
  40802. 64795 55
  40803. 64796 56
  40804. 64797 57
  40805. 64798 58
  40806. 64799 59
  40807. [64800 rows x 11 columns]
  40808. 2022-04-08 14:19:23,430:INFO:get_config() succesfully completed......................................
  40809. 2022-04-08 14:19:23,432:INFO:Initializing get_config()
  40810. 2022-04-08 14:19:23,432:INFO:get_config(variable=prep_pipe)
  40811. 2022-04-08 14:19:23,434:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  40812. steps=[('dtypes',
  40813. DataTypes_Auto_infer(categorical_features=[],
  40814. display_types=True, features_todrop=[],
  40815. id_columns=[],
  40816. ml_usecase='classification',
  40817. numerical_features=[], target='label',
  40818. time_features=[])),
  40819. ('imputer',
  40820. Simple_Imputer(categorical_strategy='not_available',
  40821. fill_value_categorical=None,
  40822. fill_value_numerical=None,
  40823. numeric_strate...
  40824. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  40825. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  40826. ('cluster_all', 'passthrough'),
  40827. ('dummy', Dummify(target='label')),
  40828. ('fix_perfect', Remove_100(target='label')),
  40829. ('clean_names', Clean_Colum_Names()),
  40830. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  40831. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  40832. verbose=False)
  40833. 2022-04-08 14:19:23,434:INFO:get_config() succesfully completed......................................
  40834. 2022-04-08 14:19:23,434:INFO:Initializing get_config()
  40835. 2022-04-08 14:19:23,434:INFO:get_config(variable=prep_pipe)
  40836. 2022-04-08 14:19:23,437:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  40837. steps=[('dtypes',
  40838. DataTypes_Auto_infer(categorical_features=[],
  40839. display_types=True, features_todrop=[],
  40840. id_columns=[],
  40841. ml_usecase='classification',
  40842. numerical_features=[], target='label',
  40843. time_features=[])),
  40844. ('imputer',
  40845. Simple_Imputer(categorical_strategy='not_available',
  40846. fill_value_categorical=None,
  40847. fill_value_numerical=None,
  40848. numeric_strate...
  40849. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  40850. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  40851. ('cluster_all', 'passthrough'),
  40852. ('dummy', Dummify(target='label')),
  40853. ('fix_perfect', Remove_100(target='label')),
  40854. ('clean_names', Clean_Colum_Names()),
  40855. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  40856. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  40857. verbose=False)
  40858. 2022-04-08 14:19:23,437:INFO:get_config() succesfully completed......................................
  40859. 2022-04-08 14:19:23,437:INFO:Initializing get_config()
  40860. 2022-04-08 14:19:23,437:INFO:get_config(variable=prep_pipe)
  40861. 2022-04-08 14:19:23,439:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  40862. steps=[('dtypes',
  40863. DataTypes_Auto_infer(categorical_features=[],
  40864. display_types=True, features_todrop=[],
  40865. id_columns=[],
  40866. ml_usecase='classification',
  40867. numerical_features=[], target='label',
  40868. time_features=[])),
  40869. ('imputer',
  40870. Simple_Imputer(categorical_strategy='not_available',
  40871. fill_value_categorical=None,
  40872. fill_value_numerical=None,
  40873. numeric_strate...
  40874. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  40875. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  40876. ('cluster_all', 'passthrough'),
  40877. ('dummy', Dummify(target='label')),
  40878. ('fix_perfect', Remove_100(target='label')),
  40879. ('clean_names', Clean_Colum_Names()),
  40880. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  40881. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  40882. verbose=False)
  40883. 2022-04-08 14:19:23,439:INFO:get_config() succesfully completed......................................
  40884. 2022-04-08 14:19:23,447:INFO:Initializing save_model()
  40885. 2022-04-08 14:19:23,447:INFO:save_model(model=Pipeline(memory=None,
  40886. steps=[('dtypes',
  40887. DataTypes_Auto_infer(categorical_features=[],
  40888. display_types=True, features_todrop=[],
  40889. id_columns=[],
  40890. ml_usecase='classification',
  40891. numerical_features=[], target='label',
  40892. time_features=[])),
  40893. ('imputer',
  40894. Simple_Imputer(categorical_strategy='not_available',
  40895. fill_value_categorical=None,
  40896. fill_value_numerical=None,
  40897. numeric_strate...
  40898. max_delta_step=0, max_depth=128, max_leaves=1024,
  40899. min_child_weight=1, missing=nan,
  40900. monotone_constraints='()', n_estimators=100,
  40901. n_jobs=-1, num_parallel_tree=1,
  40902. objective='binary:logistic', predictor='auto',
  40903. random_state=4505, reg_alpha=0, reg_lambda=1,
  40904. scale_pos_weight=1, subsample=1,
  40905. tree_method='gpu_hist', use_label_encoder=True,
  40906. validate_parameters=1, ...)]],
  40907. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  40908. steps=[('dtypes',
  40909. DataTypes_Auto_infer(categorical_features=[],
  40910. display_types=True, features_todrop=[],
  40911. id_columns=[],
  40912. ml_usecase='classification',
  40913. numerical_features=[], target='label',
  40914. time_features=[])),
  40915. ('imputer',
  40916. Simple_Imputer(categorical_strategy='not_available',
  40917. fill_value_categorical=None,
  40918. fill_value_numerical=None,
  40919. numeric_strate...
  40920. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  40921. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  40922. ('cluster_all', 'passthrough'),
  40923. ('dummy', Dummify(target='label')),
  40924. ('fix_perfect', Remove_100(target='label')),
  40925. ('clean_names', Clean_Colum_Names()),
  40926. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  40927. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  40928. verbose=False), verbose=False, kwargs={})
  40929. 2022-04-08 14:19:23,448:INFO:Adding model into prep_pipe
  40930. 2022-04-08 14:19:23,624:WARNING:Only Model saved as it was a pipeline.
  40931. 2022-04-08 14:19:23,716:INFO:my_api.pkl saved in current working directory
  40932. 2022-04-08 14:19:23,722:INFO:Pipeline(memory=None,
  40933. steps=[('dtypes',
  40934. DataTypes_Auto_infer(categorical_features=[],
  40935. display_types=True, features_todrop=[],
  40936. id_columns=[],
  40937. ml_usecase='classification',
  40938. numerical_features=[], target='label',
  40939. time_features=[])),
  40940. ('imputer',
  40941. Simple_Imputer(categorical_strategy='not_available',
  40942. fill_value_categorical=None,
  40943. fill_value_numerical=None,
  40944. numeric_strate...
  40945. max_delta_step=0, max_depth=128, max_leaves=1024,
  40946. min_child_weight=1, missing=nan,
  40947. monotone_constraints='()', n_estimators=100,
  40948. n_jobs=-1, num_parallel_tree=1,
  40949. objective='binary:logistic', predictor='auto',
  40950. random_state=4505, reg_alpha=0, reg_lambda=1,
  40951. scale_pos_weight=1, subsample=1,
  40952. tree_method='gpu_hist', use_label_encoder=True,
  40953. validate_parameters=1, ...)]],
  40954. verbose=False)
  40955. 2022-04-08 14:19:23,722:INFO:save_model() successfully completed......................................
  40956. 2022-04-08 14:21:57,877:INFO:Initializing load_model()
  40957. 2022-04-08 14:21:57,878:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  40958. 2022-04-08 14:22:09,404:INFO:Initializing predict_model()
  40959. 2022-04-08 14:22:09,404:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40960. DataTypes_Auto_infer(ml_usecase='classification',
  40961. target='label')),
  40962. ('imputer',
  40963. Simple_Imputer(categorical_strategy='not_available',
  40964. fill_value_categorical=None,
  40965. fill_value_numerical=None,
  40966. numeric_strategy='mean',
  40967. target_variable=None)),
  40968. ('new_levels1',
  40969. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40970. 'frequent',
  40971. targe...
  40972. gamma=0, gpu_id=0, importance_type=None,
  40973. interaction_constraints='', learning_rate=0.005,
  40974. max_delta_step=0, max_depth=128, max_leaves=1024,
  40975. min_child_weight=1, missing=nan,
  40976. monotone_constraints='()', n_estimators=100,
  40977. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  40978. random_state=4505, reg_alpha=0, reg_lambda=1,
  40979. scale_pos_weight=1, subsample=1,
  40980. tree_method='gpu_hist', validate_parameters=1,
  40981. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  40982. 2022-04-08 14:22:09,404:INFO:Checking exceptions
  40983. 2022-04-08 14:22:09,404:INFO:Preloading libraries
  40984. 2022-04-08 14:22:53,982:INFO:Initializing predict_model()
  40985. 2022-04-08 14:22:53,982:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  40986. DataTypes_Auto_infer(ml_usecase='classification',
  40987. target='label')),
  40988. ('imputer',
  40989. Simple_Imputer(categorical_strategy='not_available',
  40990. fill_value_categorical=None,
  40991. fill_value_numerical=None,
  40992. numeric_strategy='mean',
  40993. target_variable=None)),
  40994. ('new_levels1',
  40995. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  40996. 'frequent',
  40997. targe...
  40998. gamma=0, gpu_id=0, importance_type=None,
  40999. interaction_constraints='', learning_rate=0.005,
  41000. max_delta_step=0, max_depth=128, max_leaves=1024,
  41001. min_child_weight=1, missing=nan,
  41002. monotone_constraints='()', n_estimators=100,
  41003. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  41004. random_state=4505, reg_alpha=0, reg_lambda=1,
  41005. scale_pos_weight=1, subsample=1,
  41006. tree_method='gpu_hist', validate_parameters=1,
  41007. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41008. 2022-04-08 14:22:53,982:INFO:Checking exceptions
  41009. 2022-04-08 14:22:53,983:INFO:Preloading libraries
  41010. 2022-04-08 14:24:21,927:INFO:Initializing load_model()
  41011. 2022-04-08 14:24:21,928:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  41012. 2022-04-08 14:24:24,588:INFO:Initializing predict_model()
  41013. 2022-04-08 14:24:24,589:INFO:predict_model(estimator=Pipeline(memory=None,
  41014. steps=[('dtypes',
  41015. DataTypes_Auto_infer(categorical_features=[],
  41016. display_types=True, features_todrop=[],
  41017. id_columns=[],
  41018. ml_usecase='classification',
  41019. numerical_features=[], target='label',
  41020. time_features=[])),
  41021. ('imputer',
  41022. Simple_Imputer(categorical_strategy='not_available',
  41023. fill_value_categorical=None,
  41024. fill_value_numerical=None,
  41025. numeric_strate...
  41026. max_delta_step=0, max_depth=128, max_leaves=1024,
  41027. min_child_weight=1, missing=nan,
  41028. monotone_constraints='()', n_estimators=100,
  41029. n_jobs=-1, num_parallel_tree=1,
  41030. objective='binary:logistic', predictor='auto',
  41031. random_state=8519, reg_alpha=0, reg_lambda=1,
  41032. scale_pos_weight=1, subsample=1,
  41033. tree_method='gpu_hist', use_label_encoder=True,
  41034. validate_parameters=1, ...)]],
  41035. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41036. 2022-04-08 14:24:24,589:INFO:Checking exceptions
  41037. 2022-04-08 14:24:24,589:INFO:Preloading libraries
  41038. 2022-04-08 14:24:24,589:INFO:Preparing display monitor
  41039. 2022-04-08 14:24:49,895:INFO:Initializing get_config()
  41040. 2022-04-08 14:24:49,896:INFO:get_config(variable=prep_pipe)
  41041. 2022-04-08 14:24:49,899:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41042. steps=[('dtypes',
  41043. DataTypes_Auto_infer(categorical_features=[],
  41044. display_types=True, features_todrop=[],
  41045. id_columns=[],
  41046. ml_usecase='classification',
  41047. numerical_features=[], target='label',
  41048. time_features=[])),
  41049. ('imputer',
  41050. Simple_Imputer(categorical_strategy='not_available',
  41051. fill_value_categorical=None,
  41052. fill_value_numerical=None,
  41053. numeric_strate...
  41054. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41055. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41056. ('cluster_all', 'passthrough'),
  41057. ('dummy', Dummify(target='label')),
  41058. ('fix_perfect', Remove_100(target='label')),
  41059. ('clean_names', Clean_Colum_Names()),
  41060. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41061. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41062. verbose=False)
  41063. 2022-04-08 14:24:49,899:INFO:get_config() succesfully completed......................................
  41064. 2022-04-08 14:24:49,899:INFO:Initializing get_config()
  41065. 2022-04-08 14:24:49,899:INFO:get_config(variable=data_before_preprocess)
  41066. 2022-04-08 14:24:49,903:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  41067. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41068. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41069. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41070. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41071. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41072. ... ... ... ... ... ... ... ... ... ... ...
  41073. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41074. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41075. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41076. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41077. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41078. minute
  41079. 0 0
  41080. 1 1
  41081. 2 2
  41082. 3 3
  41083. 4 4
  41084. ... ...
  41085. 64795 55
  41086. 64796 56
  41087. 64797 57
  41088. 64798 58
  41089. 64799 59
  41090. [64800 rows x 11 columns]
  41091. 2022-04-08 14:24:49,903:INFO:get_config() succesfully completed......................................
  41092. 2022-04-08 14:24:49,904:INFO:Initializing get_config()
  41093. 2022-04-08 14:24:49,904:INFO:get_config(variable=prep_pipe)
  41094. 2022-04-08 14:24:49,907:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41095. steps=[('dtypes',
  41096. DataTypes_Auto_infer(categorical_features=[],
  41097. display_types=True, features_todrop=[],
  41098. id_columns=[],
  41099. ml_usecase='classification',
  41100. numerical_features=[], target='label',
  41101. time_features=[])),
  41102. ('imputer',
  41103. Simple_Imputer(categorical_strategy='not_available',
  41104. fill_value_categorical=None,
  41105. fill_value_numerical=None,
  41106. numeric_strate...
  41107. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41108. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41109. ('cluster_all', 'passthrough'),
  41110. ('dummy', Dummify(target='label')),
  41111. ('fix_perfect', Remove_100(target='label')),
  41112. ('clean_names', Clean_Colum_Names()),
  41113. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41114. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41115. verbose=False)
  41116. 2022-04-08 14:24:49,907:INFO:get_config() succesfully completed......................................
  41117. 2022-04-08 14:24:49,907:INFO:Initializing get_config()
  41118. 2022-04-08 14:24:49,907:INFO:get_config(variable=prep_pipe)
  41119. 2022-04-08 14:24:49,909:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41120. steps=[('dtypes',
  41121. DataTypes_Auto_infer(categorical_features=[],
  41122. display_types=True, features_todrop=[],
  41123. id_columns=[],
  41124. ml_usecase='classification',
  41125. numerical_features=[], target='label',
  41126. time_features=[])),
  41127. ('imputer',
  41128. Simple_Imputer(categorical_strategy='not_available',
  41129. fill_value_categorical=None,
  41130. fill_value_numerical=None,
  41131. numeric_strate...
  41132. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41133. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41134. ('cluster_all', 'passthrough'),
  41135. ('dummy', Dummify(target='label')),
  41136. ('fix_perfect', Remove_100(target='label')),
  41137. ('clean_names', Clean_Colum_Names()),
  41138. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41139. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41140. verbose=False)
  41141. 2022-04-08 14:24:49,910:INFO:get_config() succesfully completed......................................
  41142. 2022-04-08 14:24:49,910:INFO:Initializing get_config()
  41143. 2022-04-08 14:24:49,910:INFO:get_config(variable=prep_pipe)
  41144. 2022-04-08 14:24:49,913:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41145. steps=[('dtypes',
  41146. DataTypes_Auto_infer(categorical_features=[],
  41147. display_types=True, features_todrop=[],
  41148. id_columns=[],
  41149. ml_usecase='classification',
  41150. numerical_features=[], target='label',
  41151. time_features=[])),
  41152. ('imputer',
  41153. Simple_Imputer(categorical_strategy='not_available',
  41154. fill_value_categorical=None,
  41155. fill_value_numerical=None,
  41156. numeric_strate...
  41157. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41158. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41159. ('cluster_all', 'passthrough'),
  41160. ('dummy', Dummify(target='label')),
  41161. ('fix_perfect', Remove_100(target='label')),
  41162. ('clean_names', Clean_Colum_Names()),
  41163. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41164. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41165. verbose=False)
  41166. 2022-04-08 14:24:49,913:INFO:get_config() succesfully completed......................................
  41167. 2022-04-08 14:24:49,921:INFO:Initializing save_model()
  41168. 2022-04-08 14:24:49,921:INFO:save_model(model=Pipeline(memory=None,
  41169. steps=[('dtypes',
  41170. DataTypes_Auto_infer(categorical_features=[],
  41171. display_types=True, features_todrop=[],
  41172. id_columns=[],
  41173. ml_usecase='classification',
  41174. numerical_features=[], target='label',
  41175. time_features=[])),
  41176. ('imputer',
  41177. Simple_Imputer(categorical_strategy='not_available',
  41178. fill_value_categorical=None,
  41179. fill_value_numerical=None,
  41180. numeric_strate...
  41181. max_delta_step=0, max_depth=128, max_leaves=1024,
  41182. min_child_weight=1, missing=nan,
  41183. monotone_constraints='()', n_estimators=100,
  41184. n_jobs=-1, num_parallel_tree=1,
  41185. objective='binary:logistic', predictor='auto',
  41186. random_state=8519, reg_alpha=0, reg_lambda=1,
  41187. scale_pos_weight=1, subsample=1,
  41188. tree_method='gpu_hist', use_label_encoder=True,
  41189. validate_parameters=1, ...)]],
  41190. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  41191. steps=[('dtypes',
  41192. DataTypes_Auto_infer(categorical_features=[],
  41193. display_types=True, features_todrop=[],
  41194. id_columns=[],
  41195. ml_usecase='classification',
  41196. numerical_features=[], target='label',
  41197. time_features=[])),
  41198. ('imputer',
  41199. Simple_Imputer(categorical_strategy='not_available',
  41200. fill_value_categorical=None,
  41201. fill_value_numerical=None,
  41202. numeric_strate...
  41203. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41204. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41205. ('cluster_all', 'passthrough'),
  41206. ('dummy', Dummify(target='label')),
  41207. ('fix_perfect', Remove_100(target='label')),
  41208. ('clean_names', Clean_Colum_Names()),
  41209. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41210. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41211. verbose=False), verbose=False, kwargs={})
  41212. 2022-04-08 14:24:49,921:INFO:Adding model into prep_pipe
  41213. 2022-04-08 14:24:50,079:WARNING:Only Model saved as it was a pipeline.
  41214. 2022-04-08 14:24:50,166:INFO:my_api.pkl saved in current working directory
  41215. 2022-04-08 14:24:50,172:INFO:Pipeline(memory=None,
  41216. steps=[('dtypes',
  41217. DataTypes_Auto_infer(categorical_features=[],
  41218. display_types=True, features_todrop=[],
  41219. id_columns=[],
  41220. ml_usecase='classification',
  41221. numerical_features=[], target='label',
  41222. time_features=[])),
  41223. ('imputer',
  41224. Simple_Imputer(categorical_strategy='not_available',
  41225. fill_value_categorical=None,
  41226. fill_value_numerical=None,
  41227. numeric_strate...
  41228. max_delta_step=0, max_depth=128, max_leaves=1024,
  41229. min_child_weight=1, missing=nan,
  41230. monotone_constraints='()', n_estimators=100,
  41231. n_jobs=-1, num_parallel_tree=1,
  41232. objective='binary:logistic', predictor='auto',
  41233. random_state=8519, reg_alpha=0, reg_lambda=1,
  41234. scale_pos_weight=1, subsample=1,
  41235. tree_method='gpu_hist', use_label_encoder=True,
  41236. validate_parameters=1, ...)]],
  41237. verbose=False)
  41238. 2022-04-08 14:24:50,172:INFO:save_model() successfully completed......................................
  41239. 2022-04-08 14:27:30,669:INFO:Initializing load_model()
  41240. 2022-04-08 14:27:30,669:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  41241. 2022-04-08 14:27:37,382:INFO:Initializing predict_model()
  41242. 2022-04-08 14:27:37,382:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  41243. DataTypes_Auto_infer(ml_usecase='classification',
  41244. target='label')),
  41245. ('imputer',
  41246. Simple_Imputer(categorical_strategy='not_available',
  41247. fill_value_categorical=None,
  41248. fill_value_numerical=None,
  41249. numeric_strategy='mean',
  41250. target_variable=None)),
  41251. ('new_levels1',
  41252. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  41253. 'frequent',
  41254. targe...
  41255. gamma=0, gpu_id=0, importance_type=None,
  41256. interaction_constraints='', learning_rate=0.005,
  41257. max_delta_step=0, max_depth=128, max_leaves=1024,
  41258. min_child_weight=1, missing=nan,
  41259. monotone_constraints='()', n_estimators=100,
  41260. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  41261. random_state=8519, reg_alpha=0, reg_lambda=1,
  41262. scale_pos_weight=1, subsample=1,
  41263. tree_method='gpu_hist', validate_parameters=1,
  41264. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41265. 2022-04-08 14:27:37,382:INFO:Checking exceptions
  41266. 2022-04-08 14:27:37,383:INFO:Preloading libraries
  41267. 2022-04-08 14:27:40,658:INFO:Initializing predict_model()
  41268. 2022-04-08 14:27:40,659:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  41269. DataTypes_Auto_infer(ml_usecase='classification',
  41270. target='label')),
  41271. ('imputer',
  41272. Simple_Imputer(categorical_strategy='not_available',
  41273. fill_value_categorical=None,
  41274. fill_value_numerical=None,
  41275. numeric_strategy='mean',
  41276. target_variable=None)),
  41277. ('new_levels1',
  41278. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  41279. 'frequent',
  41280. targe...
  41281. gamma=0, gpu_id=0, importance_type=None,
  41282. interaction_constraints='', learning_rate=0.005,
  41283. max_delta_step=0, max_depth=128, max_leaves=1024,
  41284. min_child_weight=1, missing=nan,
  41285. monotone_constraints='()', n_estimators=100,
  41286. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  41287. random_state=8519, reg_alpha=0, reg_lambda=1,
  41288. scale_pos_weight=1, subsample=1,
  41289. tree_method='gpu_hist', validate_parameters=1,
  41290. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41291. 2022-04-08 14:27:40,659:INFO:Checking exceptions
  41292. 2022-04-08 14:27:40,659:INFO:Preloading libraries
  41293. 2022-04-08 14:34:20,240:INFO:Initializing load_model()
  41294. 2022-04-08 14:34:20,241:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  41295. 2022-04-08 14:34:25,366:INFO:Initializing predict_model()
  41296. 2022-04-08 14:34:25,366:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  41297. DataTypes_Auto_infer(ml_usecase='classification',
  41298. target='label')),
  41299. ('imputer',
  41300. Simple_Imputer(categorical_strategy='not_available',
  41301. fill_value_categorical=None,
  41302. fill_value_numerical=None,
  41303. numeric_strategy='mean',
  41304. target_variable=None)),
  41305. ('new_levels1',
  41306. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  41307. 'frequent',
  41308. targe...
  41309. gamma=0, gpu_id=0, importance_type=None,
  41310. interaction_constraints='', learning_rate=0.005,
  41311. max_delta_step=0, max_depth=128, max_leaves=1024,
  41312. min_child_weight=1, missing=nan,
  41313. monotone_constraints='()', n_estimators=100,
  41314. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  41315. random_state=8519, reg_alpha=0, reg_lambda=1,
  41316. scale_pos_weight=1, subsample=1,
  41317. tree_method='gpu_hist', validate_parameters=1,
  41318. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41319. 2022-04-08 14:34:25,366:INFO:Checking exceptions
  41320. 2022-04-08 14:34:25,366:INFO:Preloading libraries
  41321. 2022-04-08 14:34:27,940:INFO:Initializing predict_model()
  41322. 2022-04-08 14:34:27,940:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  41323. DataTypes_Auto_infer(ml_usecase='classification',
  41324. target='label')),
  41325. ('imputer',
  41326. Simple_Imputer(categorical_strategy='not_available',
  41327. fill_value_categorical=None,
  41328. fill_value_numerical=None,
  41329. numeric_strategy='mean',
  41330. target_variable=None)),
  41331. ('new_levels1',
  41332. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  41333. 'frequent',
  41334. targe...
  41335. gamma=0, gpu_id=0, importance_type=None,
  41336. interaction_constraints='', learning_rate=0.005,
  41337. max_delta_step=0, max_depth=128, max_leaves=1024,
  41338. min_child_weight=1, missing=nan,
  41339. monotone_constraints='()', n_estimators=100,
  41340. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  41341. random_state=8519, reg_alpha=0, reg_lambda=1,
  41342. scale_pos_weight=1, subsample=1,
  41343. tree_method='gpu_hist', validate_parameters=1,
  41344. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41345. 2022-04-08 14:34:27,940:INFO:Checking exceptions
  41346. 2022-04-08 14:34:27,941:INFO:Preloading libraries
  41347. 2022-04-08 15:07:16,560:INFO:Initializing load_model()
  41348. 2022-04-08 15:07:16,561:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  41349. 2022-04-08 15:07:42,234:INFO:Initializing predict_model()
  41350. 2022-04-08 15:07:42,234:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  41351. DataTypes_Auto_infer(ml_usecase='classification',
  41352. target='label')),
  41353. ('imputer',
  41354. Simple_Imputer(categorical_strategy='not_available',
  41355. fill_value_categorical=None,
  41356. fill_value_numerical=None,
  41357. numeric_strategy='mean',
  41358. target_variable=None)),
  41359. ('new_levels1',
  41360. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  41361. 'frequent',
  41362. targe...
  41363. gamma=0, gpu_id=0, importance_type=None,
  41364. interaction_constraints='', learning_rate=0.005,
  41365. max_delta_step=0, max_depth=128, max_leaves=1024,
  41366. min_child_weight=1, missing=nan,
  41367. monotone_constraints='()', n_estimators=100,
  41368. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  41369. random_state=8519, reg_alpha=0, reg_lambda=1,
  41370. scale_pos_weight=1, subsample=1,
  41371. tree_method='gpu_hist', validate_parameters=1,
  41372. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41373. 2022-04-08 15:07:42,235:INFO:Checking exceptions
  41374. 2022-04-08 15:07:42,235:INFO:Preloading libraries
  41375. 2022-04-08 16:43:32,804:INFO:PyCaret Supervised Module
  41376. 2022-04-08 16:43:32,805:INFO:ML Usecase: classification
  41377. 2022-04-08 16:43:32,805:INFO:version 2.3.9
  41378. 2022-04-08 16:43:32,805:INFO:Initializing setup()
  41379. 2022-04-08 16:43:32,805:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  41380. 2022-04-08 16:43:32,805:INFO:Checking environment
  41381. 2022-04-08 16:43:32,805:INFO:python_version: 3.8.13
  41382. 2022-04-08 16:43:32,805:INFO:python_build: ('default', 'Mar 25 2022 05:59:00')
  41383. 2022-04-08 16:43:32,805:INFO:machine: AMD64
  41384. 2022-04-08 16:43:32,805:INFO:platform: Windows-10-10.0.22000-SP0
  41385. 2022-04-08 16:43:32,805:INFO:Memory: svmem(total=68629368832, available=42869518336, percent=37.5, used=25759850496, free=42869518336)
  41386. 2022-04-08 16:43:32,805:INFO:Physical Core: 16
  41387. 2022-04-08 16:43:32,805:INFO:Logical Core: 32
  41388. 2022-04-08 16:43:32,805:INFO:Checking libraries
  41389. 2022-04-08 16:43:32,805:INFO:pd==1.4.2
  41390. 2022-04-08 16:43:32,805:INFO:numpy==1.19.5
  41391. 2022-04-08 16:43:32,805:INFO:sklearn==0.23.2
  41392. 2022-04-08 16:43:32,805:INFO:lightgbm==3.3.2
  41393. 2022-04-08 16:43:32,806:WARNING:catboost not found
  41394. 2022-04-08 16:43:33,042:INFO:xgboost==1.5.2
  41395. 2022-04-08 16:43:33,042:INFO:mlflow==1.24.0
  41396. 2022-04-08 16:43:33,042:INFO:Checking Exceptions
  41397. 2022-04-08 16:43:33,042:INFO:Declaring global variables
  41398. 2022-04-08 16:43:33,043:INFO:USI: 0a40
  41399. 2022-04-08 16:43:33,043:INFO:pycaret_globals: {'imputation_classifier', 'seed', 'gpu_param', 'create_model_container', '_all_models_internal', 'prep_pipe', 'log_plots_param', 'y_test', 'logging_param', 'fix_imbalance_method_param', 'transform_target_method_param', 'y', 'display_container', 'master_model_container', 'n_jobs_param', 'transform_target_param', 'fold_shuffle_param', 'data_before_preprocess', 'X', 'pycaret_globals', '_all_metrics', '_internal_pipeline', 'imputation_regressor', 'fold_generator', 'X_train', 'html_param', 'iterative_imputation_iters_param', 'exp_name_log', '_ml_usecase', 'fix_imbalance_param', 'fold_groups_param', 'y_train', 'dashboard_logger', '_all_models', 'USI', 'fold_param', 'stratify_param', 'target_param', 'fold_groups_param_full', 'X_test', '_available_plots', 'experiment__', '_gpu_n_jobs_param'}
  41400. 2022-04-08 16:43:33,043:INFO:Preparing display monitor
  41401. 2022-04-08 16:43:33,043:INFO:Preparing display monitor
  41402. 2022-04-08 16:43:33,052:INFO:Importing libraries
  41403. 2022-04-08 16:43:33,052:INFO:Copying data for preprocessing
  41404. 2022-04-08 16:43:33,057:INFO:Declaring preprocessing parameters
  41405. 2022-04-08 16:43:33,060:INFO:Creating preprocessing pipeline
  41406. 2022-04-08 16:43:33,101:INFO:Preprocessing pipeline created successfully
  41407. 2022-04-08 16:43:33,101:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  41408. 2022-04-08 16:43:33,102:INFO:Creating global containers
  41409. 2022-04-08 16:43:33,102:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  41410. 2022-04-08 16:43:35,475:WARNING:Couldn't import catboost.CatBoostClassifier
  41411. 2022-04-08 16:43:35,530:WARNING:Couldn't import catboost.CatBoostClassifier
  41412. 2022-04-08 16:43:35,530:INFO:Creating grid variables
  41413. 2022-04-08 16:43:35,538:INFO:create_model_container: 0
  41414. 2022-04-08 16:43:35,538:INFO:master_model_container: 0
  41415. 2022-04-08 16:43:35,538:INFO:display_container: 1
  41416. 2022-04-08 16:43:35,541:INFO:Pipeline(memory=None,
  41417. steps=[('dtypes',
  41418. DataTypes_Auto_infer(categorical_features=[],
  41419. display_types=True, features_todrop=[],
  41420. id_columns=[],
  41421. ml_usecase='classification',
  41422. numerical_features=[], target='label',
  41423. time_features=[])),
  41424. ('imputer',
  41425. Simple_Imputer(categorical_strategy='not_available',
  41426. fill_value_categorical=None,
  41427. fill_value_numerical=None,
  41428. numeric_strate...
  41429. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41430. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41431. ('cluster_all', 'passthrough'),
  41432. ('dummy', Dummify(target='label')),
  41433. ('fix_perfect', Remove_100(target='label')),
  41434. ('clean_names', Clean_Colum_Names()),
  41435. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41436. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41437. verbose=False)
  41438. 2022-04-08 16:43:35,541:INFO:setup() succesfully completed......................................
  41439. 2022-04-08 16:43:55,401:INFO:Initializing load_model()
  41440. 2022-04-08 16:43:55,401:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
  41441. 2022-04-08 16:44:01,139:INFO:Initializing predict_model()
  41442. 2022-04-08 16:44:01,139:INFO:predict_model(estimator=Pipeline(memory=None,
  41443. steps=[('dtypes',
  41444. DataTypes_Auto_infer(categorical_features=[],
  41445. display_types=True, features_todrop=[],
  41446. id_columns=[],
  41447. ml_usecase='classification',
  41448. numerical_features=[], target='label',
  41449. time_features=[])),
  41450. ('imputer',
  41451. Simple_Imputer(categorical_strategy='not_available',
  41452. fill_value_categorical=None,
  41453. fill_value_numerical=None,
  41454. numeric_strate...
  41455. max_delta_step=0, max_depth=128, max_leaves=1024,
  41456. min_child_weight=1, missing=nan,
  41457. monotone_constraints='()', n_estimators=100,
  41458. n_jobs=-1, num_parallel_tree=1,
  41459. objective='binary:logistic', predictor='auto',
  41460. random_state=4505, reg_alpha=0, reg_lambda=1,
  41461. scale_pos_weight=1, subsample=1,
  41462. tree_method='gpu_hist', use_label_encoder=True,
  41463. validate_parameters=1, ...)]],
  41464. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41465. 2022-04-08 16:44:01,139:INFO:Checking exceptions
  41466. 2022-04-08 16:44:01,139:INFO:Preloading libraries
  41467. 2022-04-08 16:44:01,139:INFO:Preparing display monitor
  41468. 2022-04-08 16:44:22,423:INFO:Initializing get_config()
  41469. 2022-04-08 16:44:22,423:INFO:get_config(variable=prep_pipe)
  41470. 2022-04-08 16:44:22,426:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41471. steps=[('dtypes',
  41472. DataTypes_Auto_infer(categorical_features=[],
  41473. display_types=True, features_todrop=[],
  41474. id_columns=[],
  41475. ml_usecase='classification',
  41476. numerical_features=[], target='label',
  41477. time_features=[])),
  41478. ('imputer',
  41479. Simple_Imputer(categorical_strategy='not_available',
  41480. fill_value_categorical=None,
  41481. fill_value_numerical=None,
  41482. numeric_strate...
  41483. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41484. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41485. ('cluster_all', 'passthrough'),
  41486. ('dummy', Dummify(target='label')),
  41487. ('fix_perfect', Remove_100(target='label')),
  41488. ('clean_names', Clean_Colum_Names()),
  41489. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41490. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41491. verbose=False)
  41492. 2022-04-08 16:44:22,426:INFO:get_config() succesfully completed......................................
  41493. 2022-04-08 16:44:22,426:INFO:Initializing get_config()
  41494. 2022-04-08 16:44:22,426:INFO:get_config(variable=data_before_preprocess)
  41495. 2022-04-08 16:44:22,430:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  41496. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41497. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41498. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41499. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41500. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41501. ... ... ... ... ... ... ... ... ... ... ...
  41502. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41503. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41504. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41505. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41506. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41507. minute
  41508. 0 0
  41509. 1 1
  41510. 2 2
  41511. 3 3
  41512. 4 4
  41513. ... ...
  41514. 64795 55
  41515. 64796 56
  41516. 64797 57
  41517. 64798 58
  41518. 64799 59
  41519. [64800 rows x 11 columns]
  41520. 2022-04-08 16:44:22,430:INFO:get_config() succesfully completed......................................
  41521. 2022-04-08 16:44:22,432:INFO:Initializing get_config()
  41522. 2022-04-08 16:44:22,432:INFO:get_config(variable=prep_pipe)
  41523. 2022-04-08 16:44:22,434:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41524. steps=[('dtypes',
  41525. DataTypes_Auto_infer(categorical_features=[],
  41526. display_types=True, features_todrop=[],
  41527. id_columns=[],
  41528. ml_usecase='classification',
  41529. numerical_features=[], target='label',
  41530. time_features=[])),
  41531. ('imputer',
  41532. Simple_Imputer(categorical_strategy='not_available',
  41533. fill_value_categorical=None,
  41534. fill_value_numerical=None,
  41535. numeric_strate...
  41536. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41537. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41538. ('cluster_all', 'passthrough'),
  41539. ('dummy', Dummify(target='label')),
  41540. ('fix_perfect', Remove_100(target='label')),
  41541. ('clean_names', Clean_Colum_Names()),
  41542. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41543. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41544. verbose=False)
  41545. 2022-04-08 16:44:22,434:INFO:get_config() succesfully completed......................................
  41546. 2022-04-08 16:44:22,434:INFO:Initializing get_config()
  41547. 2022-04-08 16:44:22,434:INFO:get_config(variable=prep_pipe)
  41548. 2022-04-08 16:44:22,436:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41549. steps=[('dtypes',
  41550. DataTypes_Auto_infer(categorical_features=[],
  41551. display_types=True, features_todrop=[],
  41552. id_columns=[],
  41553. ml_usecase='classification',
  41554. numerical_features=[], target='label',
  41555. time_features=[])),
  41556. ('imputer',
  41557. Simple_Imputer(categorical_strategy='not_available',
  41558. fill_value_categorical=None,
  41559. fill_value_numerical=None,
  41560. numeric_strate...
  41561. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41562. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41563. ('cluster_all', 'passthrough'),
  41564. ('dummy', Dummify(target='label')),
  41565. ('fix_perfect', Remove_100(target='label')),
  41566. ('clean_names', Clean_Colum_Names()),
  41567. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41568. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41569. verbose=False)
  41570. 2022-04-08 16:44:22,437:INFO:get_config() succesfully completed......................................
  41571. 2022-04-08 16:44:22,437:INFO:Initializing get_config()
  41572. 2022-04-08 16:44:22,437:INFO:get_config(variable=prep_pipe)
  41573. 2022-04-08 16:44:22,439:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41574. steps=[('dtypes',
  41575. DataTypes_Auto_infer(categorical_features=[],
  41576. display_types=True, features_todrop=[],
  41577. id_columns=[],
  41578. ml_usecase='classification',
  41579. numerical_features=[], target='label',
  41580. time_features=[])),
  41581. ('imputer',
  41582. Simple_Imputer(categorical_strategy='not_available',
  41583. fill_value_categorical=None,
  41584. fill_value_numerical=None,
  41585. numeric_strate...
  41586. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41587. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41588. ('cluster_all', 'passthrough'),
  41589. ('dummy', Dummify(target='label')),
  41590. ('fix_perfect', Remove_100(target='label')),
  41591. ('clean_names', Clean_Colum_Names()),
  41592. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41593. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41594. verbose=False)
  41595. 2022-04-08 16:44:22,439:INFO:get_config() succesfully completed......................................
  41596. 2022-04-08 16:44:22,448:INFO:Initializing save_model()
  41597. 2022-04-08 16:44:22,448:INFO:save_model(model=Pipeline(memory=None,
  41598. steps=[('dtypes',
  41599. DataTypes_Auto_infer(categorical_features=[],
  41600. display_types=True, features_todrop=[],
  41601. id_columns=[],
  41602. ml_usecase='classification',
  41603. numerical_features=[], target='label',
  41604. time_features=[])),
  41605. ('imputer',
  41606. Simple_Imputer(categorical_strategy='not_available',
  41607. fill_value_categorical=None,
  41608. fill_value_numerical=None,
  41609. numeric_strate...
  41610. max_delta_step=0, max_depth=128, max_leaves=1024,
  41611. min_child_weight=1, missing=nan,
  41612. monotone_constraints='()', n_estimators=100,
  41613. n_jobs=-1, num_parallel_tree=1,
  41614. objective='binary:logistic', predictor='auto',
  41615. random_state=4505, reg_alpha=0, reg_lambda=1,
  41616. scale_pos_weight=1, subsample=1,
  41617. tree_method='gpu_hist', use_label_encoder=True,
  41618. validate_parameters=1, ...)]],
  41619. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  41620. steps=[('dtypes',
  41621. DataTypes_Auto_infer(categorical_features=[],
  41622. display_types=True, features_todrop=[],
  41623. id_columns=[],
  41624. ml_usecase='classification',
  41625. numerical_features=[], target='label',
  41626. time_features=[])),
  41627. ('imputer',
  41628. Simple_Imputer(categorical_strategy='not_available',
  41629. fill_value_categorical=None,
  41630. fill_value_numerical=None,
  41631. numeric_strate...
  41632. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41633. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41634. ('cluster_all', 'passthrough'),
  41635. ('dummy', Dummify(target='label')),
  41636. ('fix_perfect', Remove_100(target='label')),
  41637. ('clean_names', Clean_Colum_Names()),
  41638. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41639. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41640. verbose=False), verbose=False, kwargs={})
  41641. 2022-04-08 16:44:22,448:INFO:Adding model into prep_pipe
  41642. 2022-04-08 16:44:22,819:WARNING:Only Model saved as it was a pipeline.
  41643. 2022-04-08 16:44:23,052:INFO:my_api.pkl saved in current working directory
  41644. 2022-04-08 16:44:23,059:INFO:Pipeline(memory=None,
  41645. steps=[('dtypes',
  41646. DataTypes_Auto_infer(categorical_features=[],
  41647. display_types=True, features_todrop=[],
  41648. id_columns=[],
  41649. ml_usecase='classification',
  41650. numerical_features=[], target='label',
  41651. time_features=[])),
  41652. ('imputer',
  41653. Simple_Imputer(categorical_strategy='not_available',
  41654. fill_value_categorical=None,
  41655. fill_value_numerical=None,
  41656. numeric_strate...
  41657. max_delta_step=0, max_depth=128, max_leaves=1024,
  41658. min_child_weight=1, missing=nan,
  41659. monotone_constraints='()', n_estimators=100,
  41660. n_jobs=-1, num_parallel_tree=1,
  41661. objective='binary:logistic', predictor='auto',
  41662. random_state=4505, reg_alpha=0, reg_lambda=1,
  41663. scale_pos_weight=1, subsample=1,
  41664. tree_method='gpu_hist', use_label_encoder=True,
  41665. validate_parameters=1, ...)]],
  41666. verbose=False)
  41667. 2022-04-08 16:44:23,059:INFO:save_model() successfully completed......................................
  41668. 2022-04-08 16:45:11,818:INFO:Initializing load_model()
  41669. 2022-04-08 16:45:11,818:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  41670. 2022-04-08 16:45:40,626:INFO:Initializing predict_model()
  41671. 2022-04-08 16:45:40,626:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  41672. DataTypes_Auto_infer(ml_usecase='classification',
  41673. target='label')),
  41674. ('imputer',
  41675. Simple_Imputer(categorical_strategy='not_available',
  41676. fill_value_categorical=None,
  41677. fill_value_numerical=None,
  41678. numeric_strategy='mean',
  41679. target_variable=None)),
  41680. ('new_levels1',
  41681. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  41682. 'frequent',
  41683. targe...
  41684. gamma=0, gpu_id=0, importance_type=None,
  41685. interaction_constraints='', learning_rate=0.005,
  41686. max_delta_step=0, max_depth=128, max_leaves=1024,
  41687. min_child_weight=1, missing=nan,
  41688. monotone_constraints='()', n_estimators=100,
  41689. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  41690. random_state=4505, reg_alpha=0, reg_lambda=1,
  41691. scale_pos_weight=1, subsample=1,
  41692. tree_method='gpu_hist', validate_parameters=1,
  41693. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41694. 2022-04-08 16:45:40,626:INFO:Checking exceptions
  41695. 2022-04-08 16:45:40,626:INFO:Preloading libraries
  41696. 2022-04-08 16:45:56,751:INFO:Initializing load_model()
  41697. 2022-04-08 16:45:56,751:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
  41698. 2022-04-08 16:45:59,126:INFO:Initializing predict_model()
  41699. 2022-04-08 16:45:59,126:INFO:predict_model(estimator=Pipeline(memory=None,
  41700. steps=[('dtypes',
  41701. DataTypes_Auto_infer(categorical_features=[],
  41702. display_types=True, features_todrop=[],
  41703. id_columns=[],
  41704. ml_usecase='classification',
  41705. numerical_features=[], target='label',
  41706. time_features=[])),
  41707. ('imputer',
  41708. Simple_Imputer(categorical_strategy='not_available',
  41709. fill_value_categorical=None,
  41710. fill_value_numerical=None,
  41711. numeric_strate...
  41712. max_delta_step=0, max_depth=128, max_leaves=1024,
  41713. min_child_weight=1, missing=nan,
  41714. monotone_constraints='()', n_estimators=100,
  41715. n_jobs=-1, num_parallel_tree=1,
  41716. objective='binary:logistic', predictor='auto',
  41717. random_state=8519, reg_alpha=0, reg_lambda=1,
  41718. scale_pos_weight=1, subsample=1,
  41719. tree_method='gpu_hist', use_label_encoder=True,
  41720. validate_parameters=1, ...)]],
  41721. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41722. 2022-04-08 16:45:59,126:INFO:Checking exceptions
  41723. 2022-04-08 16:45:59,126:INFO:Preloading libraries
  41724. 2022-04-08 16:45:59,126:INFO:Preparing display monitor
  41725. 2022-04-08 16:46:09,583:INFO:Initializing get_config()
  41726. 2022-04-08 16:46:09,583:INFO:get_config(variable=prep_pipe)
  41727. 2022-04-08 16:46:09,586:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41728. steps=[('dtypes',
  41729. DataTypes_Auto_infer(categorical_features=[],
  41730. display_types=True, features_todrop=[],
  41731. id_columns=[],
  41732. ml_usecase='classification',
  41733. numerical_features=[], target='label',
  41734. time_features=[])),
  41735. ('imputer',
  41736. Simple_Imputer(categorical_strategy='not_available',
  41737. fill_value_categorical=None,
  41738. fill_value_numerical=None,
  41739. numeric_strate...
  41740. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41741. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41742. ('cluster_all', 'passthrough'),
  41743. ('dummy', Dummify(target='label')),
  41744. ('fix_perfect', Remove_100(target='label')),
  41745. ('clean_names', Clean_Colum_Names()),
  41746. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41747. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41748. verbose=False)
  41749. 2022-04-08 16:46:09,586:INFO:get_config() succesfully completed......................................
  41750. 2022-04-08 16:46:09,586:INFO:Initializing get_config()
  41751. 2022-04-08 16:46:09,586:INFO:get_config(variable=data_before_preprocess)
  41752. 2022-04-08 16:46:09,590:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  41753. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41754. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41755. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41756. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41757. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  41758. ... ... ... ... ... ... ... ... ... ... ...
  41759. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41760. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41761. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41762. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41763. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  41764. minute
  41765. 0 0
  41766. 1 1
  41767. 2 2
  41768. 3 3
  41769. 4 4
  41770. ... ...
  41771. 64795 55
  41772. 64796 56
  41773. 64797 57
  41774. 64798 58
  41775. 64799 59
  41776. [64800 rows x 11 columns]
  41777. 2022-04-08 16:46:09,590:INFO:get_config() succesfully completed......................................
  41778. 2022-04-08 16:46:09,593:INFO:Initializing get_config()
  41779. 2022-04-08 16:46:09,593:INFO:get_config(variable=prep_pipe)
  41780. 2022-04-08 16:46:09,596:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41781. steps=[('dtypes',
  41782. DataTypes_Auto_infer(categorical_features=[],
  41783. display_types=True, features_todrop=[],
  41784. id_columns=[],
  41785. ml_usecase='classification',
  41786. numerical_features=[], target='label',
  41787. time_features=[])),
  41788. ('imputer',
  41789. Simple_Imputer(categorical_strategy='not_available',
  41790. fill_value_categorical=None,
  41791. fill_value_numerical=None,
  41792. numeric_strate...
  41793. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41794. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41795. ('cluster_all', 'passthrough'),
  41796. ('dummy', Dummify(target='label')),
  41797. ('fix_perfect', Remove_100(target='label')),
  41798. ('clean_names', Clean_Colum_Names()),
  41799. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41800. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41801. verbose=False)
  41802. 2022-04-08 16:46:09,596:INFO:get_config() succesfully completed......................................
  41803. 2022-04-08 16:46:09,596:INFO:Initializing get_config()
  41804. 2022-04-08 16:46:09,596:INFO:get_config(variable=prep_pipe)
  41805. 2022-04-08 16:46:09,599:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41806. steps=[('dtypes',
  41807. DataTypes_Auto_infer(categorical_features=[],
  41808. display_types=True, features_todrop=[],
  41809. id_columns=[],
  41810. ml_usecase='classification',
  41811. numerical_features=[], target='label',
  41812. time_features=[])),
  41813. ('imputer',
  41814. Simple_Imputer(categorical_strategy='not_available',
  41815. fill_value_categorical=None,
  41816. fill_value_numerical=None,
  41817. numeric_strate...
  41818. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41819. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41820. ('cluster_all', 'passthrough'),
  41821. ('dummy', Dummify(target='label')),
  41822. ('fix_perfect', Remove_100(target='label')),
  41823. ('clean_names', Clean_Colum_Names()),
  41824. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41825. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41826. verbose=False)
  41827. 2022-04-08 16:46:09,599:INFO:get_config() succesfully completed......................................
  41828. 2022-04-08 16:46:09,599:INFO:Initializing get_config()
  41829. 2022-04-08 16:46:09,599:INFO:get_config(variable=prep_pipe)
  41830. 2022-04-08 16:46:09,601:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41831. steps=[('dtypes',
  41832. DataTypes_Auto_infer(categorical_features=[],
  41833. display_types=True, features_todrop=[],
  41834. id_columns=[],
  41835. ml_usecase='classification',
  41836. numerical_features=[], target='label',
  41837. time_features=[])),
  41838. ('imputer',
  41839. Simple_Imputer(categorical_strategy='not_available',
  41840. fill_value_categorical=None,
  41841. fill_value_numerical=None,
  41842. numeric_strate...
  41843. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41844. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41845. ('cluster_all', 'passthrough'),
  41846. ('dummy', Dummify(target='label')),
  41847. ('fix_perfect', Remove_100(target='label')),
  41848. ('clean_names', Clean_Colum_Names()),
  41849. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41850. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41851. verbose=False)
  41852. 2022-04-08 16:46:09,601:INFO:get_config() succesfully completed......................................
  41853. 2022-04-08 16:46:09,611:INFO:Initializing save_model()
  41854. 2022-04-08 16:46:09,611:INFO:save_model(model=Pipeline(memory=None,
  41855. steps=[('dtypes',
  41856. DataTypes_Auto_infer(categorical_features=[],
  41857. display_types=True, features_todrop=[],
  41858. id_columns=[],
  41859. ml_usecase='classification',
  41860. numerical_features=[], target='label',
  41861. time_features=[])),
  41862. ('imputer',
  41863. Simple_Imputer(categorical_strategy='not_available',
  41864. fill_value_categorical=None,
  41865. fill_value_numerical=None,
  41866. numeric_strate...
  41867. max_delta_step=0, max_depth=128, max_leaves=1024,
  41868. min_child_weight=1, missing=nan,
  41869. monotone_constraints='()', n_estimators=100,
  41870. n_jobs=-1, num_parallel_tree=1,
  41871. objective='binary:logistic', predictor='auto',
  41872. random_state=8519, reg_alpha=0, reg_lambda=1,
  41873. scale_pos_weight=1, subsample=1,
  41874. tree_method='gpu_hist', use_label_encoder=True,
  41875. validate_parameters=1, ...)]],
  41876. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  41877. steps=[('dtypes',
  41878. DataTypes_Auto_infer(categorical_features=[],
  41879. display_types=True, features_todrop=[],
  41880. id_columns=[],
  41881. ml_usecase='classification',
  41882. numerical_features=[], target='label',
  41883. time_features=[])),
  41884. ('imputer',
  41885. Simple_Imputer(categorical_strategy='not_available',
  41886. fill_value_categorical=None,
  41887. fill_value_numerical=None,
  41888. numeric_strate...
  41889. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41890. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41891. ('cluster_all', 'passthrough'),
  41892. ('dummy', Dummify(target='label')),
  41893. ('fix_perfect', Remove_100(target='label')),
  41894. ('clean_names', Clean_Colum_Names()),
  41895. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  41896. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  41897. verbose=False), verbose=False, kwargs={})
  41898. 2022-04-08 16:46:09,611:INFO:Adding model into prep_pipe
  41899. 2022-04-08 16:46:09,965:WARNING:Only Model saved as it was a pipeline.
  41900. 2022-04-08 16:46:10,195:INFO:my_api.pkl saved in current working directory
  41901. 2022-04-08 16:46:10,202:INFO:Pipeline(memory=None,
  41902. steps=[('dtypes',
  41903. DataTypes_Auto_infer(categorical_features=[],
  41904. display_types=True, features_todrop=[],
  41905. id_columns=[],
  41906. ml_usecase='classification',
  41907. numerical_features=[], target='label',
  41908. time_features=[])),
  41909. ('imputer',
  41910. Simple_Imputer(categorical_strategy='not_available',
  41911. fill_value_categorical=None,
  41912. fill_value_numerical=None,
  41913. numeric_strate...
  41914. max_delta_step=0, max_depth=128, max_leaves=1024,
  41915. min_child_weight=1, missing=nan,
  41916. monotone_constraints='()', n_estimators=100,
  41917. n_jobs=-1, num_parallel_tree=1,
  41918. objective='binary:logistic', predictor='auto',
  41919. random_state=8519, reg_alpha=0, reg_lambda=1,
  41920. scale_pos_weight=1, subsample=1,
  41921. tree_method='gpu_hist', use_label_encoder=True,
  41922. validate_parameters=1, ...)]],
  41923. verbose=False)
  41924. 2022-04-08 16:46:10,202:INFO:save_model() successfully completed......................................
  41925. 2022-04-08 16:46:16,869:INFO:Initializing load_model()
  41926. 2022-04-08 16:46:16,870:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  41927. 2022-04-08 16:46:23,076:INFO:Initializing predict_model()
  41928. 2022-04-08 16:46:23,076:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  41929. DataTypes_Auto_infer(ml_usecase='classification',
  41930. target='label')),
  41931. ('imputer',
  41932. Simple_Imputer(categorical_strategy='not_available',
  41933. fill_value_categorical=None,
  41934. fill_value_numerical=None,
  41935. numeric_strategy='mean',
  41936. target_variable=None)),
  41937. ('new_levels1',
  41938. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  41939. 'frequent',
  41940. targe...
  41941. gamma=0, gpu_id=0, importance_type=None,
  41942. interaction_constraints='', learning_rate=0.005,
  41943. max_delta_step=0, max_depth=128, max_leaves=1024,
  41944. min_child_weight=1, missing=nan,
  41945. monotone_constraints='()', n_estimators=100,
  41946. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  41947. random_state=8519, reg_alpha=0, reg_lambda=1,
  41948. scale_pos_weight=1, subsample=1,
  41949. tree_method='gpu_hist', validate_parameters=1,
  41950. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41951. 2022-04-08 16:46:23,076:INFO:Checking exceptions
  41952. 2022-04-08 16:46:23,076:INFO:Preloading libraries
  41953. 2022-04-08 16:46:39,564:INFO:Initializing load_model()
  41954. 2022-04-08 16:46:39,564:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
  41955. 2022-04-08 16:46:42,170:INFO:Initializing predict_model()
  41956. 2022-04-08 16:46:42,171:INFO:predict_model(estimator=Pipeline(memory=None,
  41957. steps=[('dtypes',
  41958. DataTypes_Auto_infer(categorical_features=[],
  41959. display_types=True, features_todrop=[],
  41960. id_columns=[],
  41961. ml_usecase='classification',
  41962. numerical_features=[], target='label',
  41963. time_features=[])),
  41964. ('imputer',
  41965. Simple_Imputer(categorical_strategy='not_available',
  41966. fill_value_categorical=None,
  41967. fill_value_numerical=None,
  41968. numeric_strate...
  41969. max_delta_step=0, max_depth=128, max_leaves=1024,
  41970. min_child_weight=1, missing=nan,
  41971. monotone_constraints='()', n_estimators=100,
  41972. n_jobs=-1, num_parallel_tree=1,
  41973. objective='binary:logistic', predictor='auto',
  41974. random_state=8519, reg_alpha=0, reg_lambda=1,
  41975. scale_pos_weight=1, subsample=1,
  41976. tree_method='gpu_hist', use_label_encoder=True,
  41977. validate_parameters=1, ...)]],
  41978. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  41979. 2022-04-08 16:46:42,171:INFO:Checking exceptions
  41980. 2022-04-08 16:46:42,171:INFO:Preloading libraries
  41981. 2022-04-08 16:46:42,171:INFO:Preparing display monitor
  41982. 2022-04-08 16:46:51,951:INFO:Initializing get_config()
  41983. 2022-04-08 16:46:51,951:INFO:get_config(variable=prep_pipe)
  41984. 2022-04-08 16:46:51,954:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  41985. steps=[('dtypes',
  41986. DataTypes_Auto_infer(categorical_features=[],
  41987. display_types=True, features_todrop=[],
  41988. id_columns=[],
  41989. ml_usecase='classification',
  41990. numerical_features=[], target='label',
  41991. time_features=[])),
  41992. ('imputer',
  41993. Simple_Imputer(categorical_strategy='not_available',
  41994. fill_value_categorical=None,
  41995. fill_value_numerical=None,
  41996. numeric_strate...
  41997. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  41998. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  41999. ('cluster_all', 'passthrough'),
  42000. ('dummy', Dummify(target='label')),
  42001. ('fix_perfect', Remove_100(target='label')),
  42002. ('clean_names', Clean_Colum_Names()),
  42003. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42004. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42005. verbose=False)
  42006. 2022-04-08 16:46:51,954:INFO:get_config() succesfully completed......................................
  42007. 2022-04-08 16:46:51,954:INFO:Initializing get_config()
  42008. 2022-04-08 16:46:51,954:INFO:get_config(variable=data_before_preprocess)
  42009. 2022-04-08 16:46:51,958:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  42010. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42011. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42012. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42013. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42014. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42015. ... ... ... ... ... ... ... ... ... ... ...
  42016. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42017. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42018. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42019. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42020. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42021. minute
  42022. 0 0
  42023. 1 1
  42024. 2 2
  42025. 3 3
  42026. 4 4
  42027. ... ...
  42028. 64795 55
  42029. 64796 56
  42030. 64797 57
  42031. 64798 58
  42032. 64799 59
  42033. [64800 rows x 11 columns]
  42034. 2022-04-08 16:46:51,958:INFO:get_config() succesfully completed......................................
  42035. 2022-04-08 16:46:51,960:INFO:Initializing get_config()
  42036. 2022-04-08 16:46:51,961:INFO:get_config(variable=prep_pipe)
  42037. 2022-04-08 16:46:51,963:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42038. steps=[('dtypes',
  42039. DataTypes_Auto_infer(categorical_features=[],
  42040. display_types=True, features_todrop=[],
  42041. id_columns=[],
  42042. ml_usecase='classification',
  42043. numerical_features=[], target='label',
  42044. time_features=[])),
  42045. ('imputer',
  42046. Simple_Imputer(categorical_strategy='not_available',
  42047. fill_value_categorical=None,
  42048. fill_value_numerical=None,
  42049. numeric_strate...
  42050. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42051. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42052. ('cluster_all', 'passthrough'),
  42053. ('dummy', Dummify(target='label')),
  42054. ('fix_perfect', Remove_100(target='label')),
  42055. ('clean_names', Clean_Colum_Names()),
  42056. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42057. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42058. verbose=False)
  42059. 2022-04-08 16:46:51,963:INFO:get_config() succesfully completed......................................
  42060. 2022-04-08 16:46:51,963:INFO:Initializing get_config()
  42061. 2022-04-08 16:46:51,963:INFO:get_config(variable=prep_pipe)
  42062. 2022-04-08 16:46:51,966:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42063. steps=[('dtypes',
  42064. DataTypes_Auto_infer(categorical_features=[],
  42065. display_types=True, features_todrop=[],
  42066. id_columns=[],
  42067. ml_usecase='classification',
  42068. numerical_features=[], target='label',
  42069. time_features=[])),
  42070. ('imputer',
  42071. Simple_Imputer(categorical_strategy='not_available',
  42072. fill_value_categorical=None,
  42073. fill_value_numerical=None,
  42074. numeric_strate...
  42075. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42076. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42077. ('cluster_all', 'passthrough'),
  42078. ('dummy', Dummify(target='label')),
  42079. ('fix_perfect', Remove_100(target='label')),
  42080. ('clean_names', Clean_Colum_Names()),
  42081. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42082. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42083. verbose=False)
  42084. 2022-04-08 16:46:51,966:INFO:get_config() succesfully completed......................................
  42085. 2022-04-08 16:46:51,966:INFO:Initializing get_config()
  42086. 2022-04-08 16:46:51,966:INFO:get_config(variable=prep_pipe)
  42087. 2022-04-08 16:46:51,968:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42088. steps=[('dtypes',
  42089. DataTypes_Auto_infer(categorical_features=[],
  42090. display_types=True, features_todrop=[],
  42091. id_columns=[],
  42092. ml_usecase='classification',
  42093. numerical_features=[], target='label',
  42094. time_features=[])),
  42095. ('imputer',
  42096. Simple_Imputer(categorical_strategy='not_available',
  42097. fill_value_categorical=None,
  42098. fill_value_numerical=None,
  42099. numeric_strate...
  42100. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42101. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42102. ('cluster_all', 'passthrough'),
  42103. ('dummy', Dummify(target='label')),
  42104. ('fix_perfect', Remove_100(target='label')),
  42105. ('clean_names', Clean_Colum_Names()),
  42106. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42107. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42108. verbose=False)
  42109. 2022-04-08 16:46:51,968:INFO:get_config() succesfully completed......................................
  42110. 2022-04-08 16:46:51,978:INFO:Initializing save_model()
  42111. 2022-04-08 16:46:51,978:INFO:save_model(model=Pipeline(memory=None,
  42112. steps=[('dtypes',
  42113. DataTypes_Auto_infer(categorical_features=[],
  42114. display_types=True, features_todrop=[],
  42115. id_columns=[],
  42116. ml_usecase='classification',
  42117. numerical_features=[], target='label',
  42118. time_features=[])),
  42119. ('imputer',
  42120. Simple_Imputer(categorical_strategy='not_available',
  42121. fill_value_categorical=None,
  42122. fill_value_numerical=None,
  42123. numeric_strate...
  42124. max_delta_step=0, max_depth=128, max_leaves=1024,
  42125. min_child_weight=1, missing=nan,
  42126. monotone_constraints='()', n_estimators=100,
  42127. n_jobs=-1, num_parallel_tree=1,
  42128. objective='binary:logistic', predictor='auto',
  42129. random_state=8519, reg_alpha=0, reg_lambda=1,
  42130. scale_pos_weight=1, subsample=1,
  42131. tree_method='gpu_hist', use_label_encoder=True,
  42132. validate_parameters=1, ...)]],
  42133. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  42134. steps=[('dtypes',
  42135. DataTypes_Auto_infer(categorical_features=[],
  42136. display_types=True, features_todrop=[],
  42137. id_columns=[],
  42138. ml_usecase='classification',
  42139. numerical_features=[], target='label',
  42140. time_features=[])),
  42141. ('imputer',
  42142. Simple_Imputer(categorical_strategy='not_available',
  42143. fill_value_categorical=None,
  42144. fill_value_numerical=None,
  42145. numeric_strate...
  42146. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42147. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42148. ('cluster_all', 'passthrough'),
  42149. ('dummy', Dummify(target='label')),
  42150. ('fix_perfect', Remove_100(target='label')),
  42151. ('clean_names', Clean_Colum_Names()),
  42152. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42153. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42154. verbose=False), verbose=False, kwargs={})
  42155. 2022-04-08 16:46:51,978:INFO:Adding model into prep_pipe
  42156. 2022-04-08 16:46:52,317:WARNING:Only Model saved as it was a pipeline.
  42157. 2022-04-08 16:46:52,535:INFO:my_api.pkl saved in current working directory
  42158. 2022-04-08 16:46:52,541:INFO:Pipeline(memory=None,
  42159. steps=[('dtypes',
  42160. DataTypes_Auto_infer(categorical_features=[],
  42161. display_types=True, features_todrop=[],
  42162. id_columns=[],
  42163. ml_usecase='classification',
  42164. numerical_features=[], target='label',
  42165. time_features=[])),
  42166. ('imputer',
  42167. Simple_Imputer(categorical_strategy='not_available',
  42168. fill_value_categorical=None,
  42169. fill_value_numerical=None,
  42170. numeric_strate...
  42171. max_delta_step=0, max_depth=128, max_leaves=1024,
  42172. min_child_weight=1, missing=nan,
  42173. monotone_constraints='()', n_estimators=100,
  42174. n_jobs=-1, num_parallel_tree=1,
  42175. objective='binary:logistic', predictor='auto',
  42176. random_state=8519, reg_alpha=0, reg_lambda=1,
  42177. scale_pos_weight=1, subsample=1,
  42178. tree_method='gpu_hist', use_label_encoder=True,
  42179. validate_parameters=1, ...)]],
  42180. verbose=False)
  42181. 2022-04-08 16:46:52,542:INFO:save_model() successfully completed......................................
  42182. 2022-04-08 16:46:57,590:INFO:Initializing load_model()
  42183. 2022-04-08 16:46:57,590:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  42184. 2022-04-08 16:46:59,917:INFO:Initializing predict_model()
  42185. 2022-04-08 16:46:59,917:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  42186. DataTypes_Auto_infer(ml_usecase='classification',
  42187. target='label')),
  42188. ('imputer',
  42189. Simple_Imputer(categorical_strategy='not_available',
  42190. fill_value_categorical=None,
  42191. fill_value_numerical=None,
  42192. numeric_strategy='mean',
  42193. target_variable=None)),
  42194. ('new_levels1',
  42195. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  42196. 'frequent',
  42197. targe...
  42198. gamma=0, gpu_id=0, importance_type=None,
  42199. interaction_constraints='', learning_rate=0.005,
  42200. max_delta_step=0, max_depth=128, max_leaves=1024,
  42201. min_child_weight=1, missing=nan,
  42202. monotone_constraints='()', n_estimators=100,
  42203. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  42204. random_state=8519, reg_alpha=0, reg_lambda=1,
  42205. scale_pos_weight=1, subsample=1,
  42206. tree_method='gpu_hist', validate_parameters=1,
  42207. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  42208. 2022-04-08 16:46:59,917:INFO:Checking exceptions
  42209. 2022-04-08 16:46:59,917:INFO:Preloading libraries
  42210. 2022-04-08 16:47:14,779:INFO:PyCaret Supervised Module
  42211. 2022-04-08 16:47:14,779:INFO:ML Usecase: classification
  42212. 2022-04-08 16:47:14,779:INFO:version 2.3.9
  42213. 2022-04-08 16:47:14,779:INFO:Initializing setup()
  42214. 2022-04-08 16:47:14,779:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, experiment_custom_tags=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  42215. 2022-04-08 16:47:14,779:INFO:Checking environment
  42216. 2022-04-08 16:47:14,779:INFO:python_version: 3.8.13
  42217. 2022-04-08 16:47:14,779:INFO:python_build: ('default', 'Mar 25 2022 05:59:00')
  42218. 2022-04-08 16:47:14,779:INFO:machine: AMD64
  42219. 2022-04-08 16:47:14,779:INFO:platform: Windows-10-10.0.22000-SP0
  42220. 2022-04-08 16:47:14,779:INFO:Memory: svmem(total=68629368832, available=42281160704, percent=38.4, used=26348208128, free=42281160704)
  42221. 2022-04-08 16:47:14,779:INFO:Physical Core: 16
  42222. 2022-04-08 16:47:14,779:INFO:Logical Core: 32
  42223. 2022-04-08 16:47:14,779:INFO:Checking libraries
  42224. 2022-04-08 16:47:14,779:INFO:pd==1.4.2
  42225. 2022-04-08 16:47:14,779:INFO:numpy==1.19.5
  42226. 2022-04-08 16:47:14,779:INFO:sklearn==0.23.2
  42227. 2022-04-08 16:47:14,780:INFO:lightgbm==3.3.2
  42228. 2022-04-08 16:47:14,780:WARNING:catboost not found
  42229. 2022-04-08 16:47:14,780:INFO:xgboost==1.5.2
  42230. 2022-04-08 16:47:14,780:INFO:mlflow==1.24.0
  42231. 2022-04-08 16:47:14,780:INFO:Checking Exceptions
  42232. 2022-04-08 16:47:14,780:INFO:Declaring global variables
  42233. 2022-04-08 16:47:14,781:INFO:USI: 0035
  42234. 2022-04-08 16:47:14,781:INFO:pycaret_globals: {'imputation_classifier', 'seed', 'gpu_param', 'create_model_container', '_all_models_internal', 'prep_pipe', 'log_plots_param', 'y_test', 'logging_param', 'fix_imbalance_method_param', 'transform_target_method_param', 'y', 'display_container', 'master_model_container', 'n_jobs_param', 'transform_target_param', 'fold_shuffle_param', 'data_before_preprocess', 'X', 'pycaret_globals', '_all_metrics', '_internal_pipeline', 'imputation_regressor', 'fold_generator', 'X_train', 'html_param', 'iterative_imputation_iters_param', 'exp_name_log', '_ml_usecase', 'fix_imbalance_param', 'fold_groups_param', 'y_train', 'dashboard_logger', '_all_models', 'USI', 'fold_param', 'stratify_param', 'target_param', 'fold_groups_param_full', 'X_test', '_available_plots', 'experiment__', '_gpu_n_jobs_param'}
  42235. 2022-04-08 16:47:14,781:INFO:Preparing display monitor
  42236. 2022-04-08 16:47:14,781:INFO:Preparing display monitor
  42237. 2022-04-08 16:47:14,788:INFO:Importing libraries
  42238. 2022-04-08 16:47:14,788:INFO:Copying data for preprocessing
  42239. 2022-04-08 16:47:14,793:INFO:Declaring preprocessing parameters
  42240. 2022-04-08 16:47:14,794:WARNING:cuML not found
  42241. 2022-04-08 16:47:14,794:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  42242. 2022-04-08 16:47:14,796:INFO:Creating preprocessing pipeline
  42243. 2022-04-08 16:47:14,837:INFO:Preprocessing pipeline created successfully
  42244. 2022-04-08 16:47:14,837:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  42245. 2022-04-08 16:47:14,837:INFO:Creating global containers
  42246. 2022-04-08 16:47:14,837:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  42247. 2022-04-08 16:47:17,082:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  42248. 2022-04-08 16:47:17,115:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  42249. 2022-04-08 16:47:17,116:WARNING:Couldn't import cuml.MBSGDClassifier
  42250. 2022-04-08 16:47:17,117:WARNING:Couldn't import cuml.svm.SVC
  42251. 2022-04-08 16:47:17,133:WARNING:Couldn't import cuml.linear_model
  42252. 2022-04-08 16:47:17,137:WARNING:Couldn't import cuml.ensemble
  42253. 2022-04-08 16:47:17,485:WARNING:Couldn't import catboost.CatBoostClassifier
  42254. 2022-04-08 16:47:17,486:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  42255. 2022-04-08 16:47:17,546:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  42256. 2022-04-08 16:47:17,548:WARNING:Couldn't import cuml.MBSGDClassifier
  42257. 2022-04-08 16:47:17,549:WARNING:Couldn't import cuml.svm.SVC
  42258. 2022-04-08 16:47:17,579:WARNING:Couldn't import cuml.linear_model
  42259. 2022-04-08 16:47:17,586:WARNING:Couldn't import cuml.ensemble
  42260. 2022-04-08 16:47:17,718:WARNING:Couldn't import catboost.CatBoostClassifier
  42261. 2022-04-08 16:47:17,718:INFO:Creating grid variables
  42262. 2022-04-08 16:47:17,730:INFO:create_model_container: 0
  42263. 2022-04-08 16:47:17,730:INFO:master_model_container: 0
  42264. 2022-04-08 16:47:17,730:INFO:display_container: 1
  42265. 2022-04-08 16:47:17,734:INFO:Pipeline(memory=None,
  42266. steps=[('dtypes',
  42267. DataTypes_Auto_infer(categorical_features=[],
  42268. display_types=True, features_todrop=[],
  42269. id_columns=[],
  42270. ml_usecase='classification',
  42271. numerical_features=[], target='label',
  42272. time_features=[])),
  42273. ('imputer',
  42274. Simple_Imputer(categorical_strategy='not_available',
  42275. fill_value_categorical=None,
  42276. fill_value_numerical=None,
  42277. numeric_strate...
  42278. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42279. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42280. ('cluster_all', 'passthrough'),
  42281. ('dummy', Dummify(target='label')),
  42282. ('fix_perfect', Remove_100(target='label')),
  42283. ('clean_names', Clean_Colum_Names()),
  42284. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42285. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42286. verbose=False)
  42287. 2022-04-08 16:47:17,734:INFO:setup() succesfully completed......................................
  42288. 2022-04-08 16:47:28,650:INFO:Initializing load_model()
  42289. 2022-04-08 16:47:28,650:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
  42290. 2022-04-08 16:47:30,957:INFO:Initializing predict_model()
  42291. 2022-04-08 16:47:30,957:INFO:predict_model(estimator=Pipeline(memory=None,
  42292. steps=[('dtypes',
  42293. DataTypes_Auto_infer(categorical_features=[],
  42294. display_types=True, features_todrop=[],
  42295. id_columns=[],
  42296. ml_usecase='classification',
  42297. numerical_features=[], target='label',
  42298. time_features=[])),
  42299. ('imputer',
  42300. Simple_Imputer(categorical_strategy='not_available',
  42301. fill_value_categorical=None,
  42302. fill_value_numerical=None,
  42303. numeric_strate...
  42304. max_delta_step=0, max_depth=128, max_leaves=1024,
  42305. min_child_weight=1, missing=nan,
  42306. monotone_constraints='()', n_estimators=100,
  42307. n_jobs=-1, num_parallel_tree=1,
  42308. objective='binary:logistic', predictor='auto',
  42309. random_state=4505, reg_alpha=0, reg_lambda=1,
  42310. scale_pos_weight=1, subsample=1,
  42311. tree_method='gpu_hist', use_label_encoder=True,
  42312. validate_parameters=1, ...)]],
  42313. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  42314. 2022-04-08 16:47:30,957:INFO:Checking exceptions
  42315. 2022-04-08 16:47:30,957:INFO:Preloading libraries
  42316. 2022-04-08 16:47:30,957:INFO:Preparing display monitor
  42317. 2022-04-08 16:47:34,251:INFO:Initializing get_config()
  42318. 2022-04-08 16:47:34,251:INFO:get_config(variable=prep_pipe)
  42319. 2022-04-08 16:47:34,254:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42320. steps=[('dtypes',
  42321. DataTypes_Auto_infer(categorical_features=[],
  42322. display_types=True, features_todrop=[],
  42323. id_columns=[],
  42324. ml_usecase='classification',
  42325. numerical_features=[], target='label',
  42326. time_features=[])),
  42327. ('imputer',
  42328. Simple_Imputer(categorical_strategy='not_available',
  42329. fill_value_categorical=None,
  42330. fill_value_numerical=None,
  42331. numeric_strate...
  42332. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42333. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42334. ('cluster_all', 'passthrough'),
  42335. ('dummy', Dummify(target='label')),
  42336. ('fix_perfect', Remove_100(target='label')),
  42337. ('clean_names', Clean_Colum_Names()),
  42338. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42339. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42340. verbose=False)
  42341. 2022-04-08 16:47:34,254:INFO:get_config() succesfully completed......................................
  42342. 2022-04-08 16:47:34,254:INFO:Initializing get_config()
  42343. 2022-04-08 16:47:34,254:INFO:get_config(variable=data_before_preprocess)
  42344. 2022-04-08 16:47:34,258:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  42345. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42346. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42347. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42348. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42349. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42350. ... ... ... ... ... ... ... ... ... ... ...
  42351. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42352. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42353. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42354. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42355. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42356. minute
  42357. 0 0
  42358. 1 1
  42359. 2 2
  42360. 3 3
  42361. 4 4
  42362. ... ...
  42363. 64795 55
  42364. 64796 56
  42365. 64797 57
  42366. 64798 58
  42367. 64799 59
  42368. [64800 rows x 11 columns]
  42369. 2022-04-08 16:47:34,258:INFO:get_config() succesfully completed......................................
  42370. 2022-04-08 16:47:34,260:INFO:Initializing get_config()
  42371. 2022-04-08 16:47:34,260:INFO:get_config(variable=prep_pipe)
  42372. 2022-04-08 16:47:34,264:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42373. steps=[('dtypes',
  42374. DataTypes_Auto_infer(categorical_features=[],
  42375. display_types=True, features_todrop=[],
  42376. id_columns=[],
  42377. ml_usecase='classification',
  42378. numerical_features=[], target='label',
  42379. time_features=[])),
  42380. ('imputer',
  42381. Simple_Imputer(categorical_strategy='not_available',
  42382. fill_value_categorical=None,
  42383. fill_value_numerical=None,
  42384. numeric_strate...
  42385. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42386. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42387. ('cluster_all', 'passthrough'),
  42388. ('dummy', Dummify(target='label')),
  42389. ('fix_perfect', Remove_100(target='label')),
  42390. ('clean_names', Clean_Colum_Names()),
  42391. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42392. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42393. verbose=False)
  42394. 2022-04-08 16:47:34,264:INFO:get_config() succesfully completed......................................
  42395. 2022-04-08 16:47:34,264:INFO:Initializing get_config()
  42396. 2022-04-08 16:47:34,264:INFO:get_config(variable=prep_pipe)
  42397. 2022-04-08 16:47:34,266:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42398. steps=[('dtypes',
  42399. DataTypes_Auto_infer(categorical_features=[],
  42400. display_types=True, features_todrop=[],
  42401. id_columns=[],
  42402. ml_usecase='classification',
  42403. numerical_features=[], target='label',
  42404. time_features=[])),
  42405. ('imputer',
  42406. Simple_Imputer(categorical_strategy='not_available',
  42407. fill_value_categorical=None,
  42408. fill_value_numerical=None,
  42409. numeric_strate...
  42410. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42411. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42412. ('cluster_all', 'passthrough'),
  42413. ('dummy', Dummify(target='label')),
  42414. ('fix_perfect', Remove_100(target='label')),
  42415. ('clean_names', Clean_Colum_Names()),
  42416. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42417. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42418. verbose=False)
  42419. 2022-04-08 16:47:34,266:INFO:get_config() succesfully completed......................................
  42420. 2022-04-08 16:47:34,266:INFO:Initializing get_config()
  42421. 2022-04-08 16:47:34,267:INFO:get_config(variable=prep_pipe)
  42422. 2022-04-08 16:47:34,269:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42423. steps=[('dtypes',
  42424. DataTypes_Auto_infer(categorical_features=[],
  42425. display_types=True, features_todrop=[],
  42426. id_columns=[],
  42427. ml_usecase='classification',
  42428. numerical_features=[], target='label',
  42429. time_features=[])),
  42430. ('imputer',
  42431. Simple_Imputer(categorical_strategy='not_available',
  42432. fill_value_categorical=None,
  42433. fill_value_numerical=None,
  42434. numeric_strate...
  42435. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42436. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42437. ('cluster_all', 'passthrough'),
  42438. ('dummy', Dummify(target='label')),
  42439. ('fix_perfect', Remove_100(target='label')),
  42440. ('clean_names', Clean_Colum_Names()),
  42441. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42442. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42443. verbose=False)
  42444. 2022-04-08 16:47:34,269:INFO:get_config() succesfully completed......................................
  42445. 2022-04-08 16:47:34,278:INFO:Initializing save_model()
  42446. 2022-04-08 16:47:34,279:INFO:save_model(model=Pipeline(memory=None,
  42447. steps=[('dtypes',
  42448. DataTypes_Auto_infer(categorical_features=[],
  42449. display_types=True, features_todrop=[],
  42450. id_columns=[],
  42451. ml_usecase='classification',
  42452. numerical_features=[], target='label',
  42453. time_features=[])),
  42454. ('imputer',
  42455. Simple_Imputer(categorical_strategy='not_available',
  42456. fill_value_categorical=None,
  42457. fill_value_numerical=None,
  42458. numeric_strate...
  42459. max_delta_step=0, max_depth=128, max_leaves=1024,
  42460. min_child_weight=1, missing=nan,
  42461. monotone_constraints='()', n_estimators=100,
  42462. n_jobs=-1, num_parallel_tree=1,
  42463. objective='binary:logistic', predictor='auto',
  42464. random_state=4505, reg_alpha=0, reg_lambda=1,
  42465. scale_pos_weight=1, subsample=1,
  42466. tree_method='gpu_hist', use_label_encoder=True,
  42467. validate_parameters=1, ...)]],
  42468. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  42469. steps=[('dtypes',
  42470. DataTypes_Auto_infer(categorical_features=[],
  42471. display_types=True, features_todrop=[],
  42472. id_columns=[],
  42473. ml_usecase='classification',
  42474. numerical_features=[], target='label',
  42475. time_features=[])),
  42476. ('imputer',
  42477. Simple_Imputer(categorical_strategy='not_available',
  42478. fill_value_categorical=None,
  42479. fill_value_numerical=None,
  42480. numeric_strate...
  42481. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42482. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42483. ('cluster_all', 'passthrough'),
  42484. ('dummy', Dummify(target='label')),
  42485. ('fix_perfect', Remove_100(target='label')),
  42486. ('clean_names', Clean_Colum_Names()),
  42487. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42488. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42489. verbose=False), verbose=False, kwargs={})
  42490. 2022-04-08 16:47:34,279:INFO:Adding model into prep_pipe
  42491. 2022-04-08 16:47:34,647:WARNING:Only Model saved as it was a pipeline.
  42492. 2022-04-08 16:47:34,883:INFO:my_api.pkl saved in current working directory
  42493. 2022-04-08 16:47:34,890:INFO:Pipeline(memory=None,
  42494. steps=[('dtypes',
  42495. DataTypes_Auto_infer(categorical_features=[],
  42496. display_types=True, features_todrop=[],
  42497. id_columns=[],
  42498. ml_usecase='classification',
  42499. numerical_features=[], target='label',
  42500. time_features=[])),
  42501. ('imputer',
  42502. Simple_Imputer(categorical_strategy='not_available',
  42503. fill_value_categorical=None,
  42504. fill_value_numerical=None,
  42505. numeric_strate...
  42506. max_delta_step=0, max_depth=128, max_leaves=1024,
  42507. min_child_weight=1, missing=nan,
  42508. monotone_constraints='()', n_estimators=100,
  42509. n_jobs=-1, num_parallel_tree=1,
  42510. objective='binary:logistic', predictor='auto',
  42511. random_state=4505, reg_alpha=0, reg_lambda=1,
  42512. scale_pos_weight=1, subsample=1,
  42513. tree_method='gpu_hist', use_label_encoder=True,
  42514. validate_parameters=1, ...)]],
  42515. verbose=False)
  42516. 2022-04-08 16:47:34,890:INFO:save_model() successfully completed......................................
  42517. 2022-04-08 16:47:42,247:INFO:Initializing load_model()
  42518. 2022-04-08 16:47:42,247:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  42519. 2022-04-08 16:47:44,199:INFO:Initializing predict_model()
  42520. 2022-04-08 16:47:44,199:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  42521. DataTypes_Auto_infer(ml_usecase='classification',
  42522. target='label')),
  42523. ('imputer',
  42524. Simple_Imputer(categorical_strategy='not_available',
  42525. fill_value_categorical=None,
  42526. fill_value_numerical=None,
  42527. numeric_strategy='mean',
  42528. target_variable=None)),
  42529. ('new_levels1',
  42530. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  42531. 'frequent',
  42532. targe...
  42533. gamma=0, gpu_id=0, importance_type=None,
  42534. interaction_constraints='', learning_rate=0.005,
  42535. max_delta_step=0, max_depth=128, max_leaves=1024,
  42536. min_child_weight=1, missing=nan,
  42537. monotone_constraints='()', n_estimators=100,
  42538. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  42539. random_state=4505, reg_alpha=0, reg_lambda=1,
  42540. scale_pos_weight=1, subsample=1,
  42541. tree_method='gpu_hist', validate_parameters=1,
  42542. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None, drift_kwargs=None)
  42543. 2022-04-08 16:47:44,199:INFO:Checking exceptions
  42544. 2022-04-08 16:47:44,199:INFO:Preloading libraries
  42545. 2022-04-08 16:57:56,226:INFO:Initializing load_model()
  42546. 2022-04-08 16:57:56,226:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  42547. 2022-04-08 16:58:00,128:INFO:Initializing predict_model()
  42548. 2022-04-08 16:58:00,128:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  42549. DataTypes_Auto_infer(ml_usecase='classification',
  42550. target='label')),
  42551. ('imputer',
  42552. Simple_Imputer(categorical_strategy='not_available',
  42553. fill_value_categorical=None,
  42554. fill_value_numerical=None,
  42555. numeric_strategy='mean',
  42556. target_variable=None)),
  42557. ('new_levels1',
  42558. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  42559. 'frequent',
  42560. targe...
  42561. gamma=0, gpu_id=0, importance_type=None,
  42562. interaction_constraints='', learning_rate=0.005,
  42563. max_delta_step=0, max_depth=128, max_leaves=1024,
  42564. min_child_weight=1, missing=nan,
  42565. monotone_constraints='()', n_estimators=100,
  42566. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  42567. random_state=4505, reg_alpha=0, reg_lambda=1,
  42568. scale_pos_weight=1, subsample=1,
  42569. tree_method='gpu_hist', validate_parameters=1,
  42570. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  42571. 2022-04-08 16:58:00,128:INFO:Checking exceptions
  42572. 2022-04-08 16:58:00,128:INFO:Preloading libraries
  42573. 2022-04-08 17:03:35,016:INFO:Initializing load_model()
  42574. 2022-04-08 17:03:35,016:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  42575. 2022-04-08 17:03:38,905:INFO:Initializing predict_model()
  42576. 2022-04-08 17:03:38,906:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  42577. DataTypes_Auto_infer(ml_usecase='classification',
  42578. target='label')),
  42579. ('imputer',
  42580. Simple_Imputer(categorical_strategy='not_available',
  42581. fill_value_categorical=None,
  42582. fill_value_numerical=None,
  42583. numeric_strategy='mean',
  42584. target_variable=None)),
  42585. ('new_levels1',
  42586. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  42587. 'frequent',
  42588. targe...
  42589. gamma=0, gpu_id=0, importance_type=None,
  42590. interaction_constraints='', learning_rate=0.005,
  42591. max_delta_step=0, max_depth=128, max_leaves=1024,
  42592. min_child_weight=1, missing=nan,
  42593. monotone_constraints='()', n_estimators=100,
  42594. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  42595. random_state=4505, reg_alpha=0, reg_lambda=1,
  42596. scale_pos_weight=1, subsample=1,
  42597. tree_method='gpu_hist', validate_parameters=1,
  42598. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  42599. 2022-04-08 17:03:38,906:INFO:Checking exceptions
  42600. 2022-04-08 17:03:38,906:INFO:Preloading libraries
  42601. 2022-04-08 17:03:40,798:INFO:Initializing predict_model()
  42602. 2022-04-08 17:03:40,799:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  42603. DataTypes_Auto_infer(ml_usecase='classification',
  42604. target='label')),
  42605. ('imputer',
  42606. Simple_Imputer(categorical_strategy='not_available',
  42607. fill_value_categorical=None,
  42608. fill_value_numerical=None,
  42609. numeric_strategy='mean',
  42610. target_variable=None)),
  42611. ('new_levels1',
  42612. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  42613. 'frequent',
  42614. targe...
  42615. gamma=0, gpu_id=0, importance_type=None,
  42616. interaction_constraints='', learning_rate=0.005,
  42617. max_delta_step=0, max_depth=128, max_leaves=1024,
  42618. min_child_weight=1, missing=nan,
  42619. monotone_constraints='()', n_estimators=100,
  42620. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  42621. random_state=4505, reg_alpha=0, reg_lambda=1,
  42622. scale_pos_weight=1, subsample=1,
  42623. tree_method='gpu_hist', validate_parameters=1,
  42624. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  42625. 2022-04-08 17:03:40,799:INFO:Checking exceptions
  42626. 2022-04-08 17:03:40,799:INFO:Preloading libraries
  42627. 2022-04-08 17:03:42,048:INFO:Initializing predict_model()
  42628. 2022-04-08 17:03:42,049:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  42629. DataTypes_Auto_infer(ml_usecase='classification',
  42630. target='label')),
  42631. ('imputer',
  42632. Simple_Imputer(categorical_strategy='not_available',
  42633. fill_value_categorical=None,
  42634. fill_value_numerical=None,
  42635. numeric_strategy='mean',
  42636. target_variable=None)),
  42637. ('new_levels1',
  42638. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  42639. 'frequent',
  42640. targe...
  42641. gamma=0, gpu_id=0, importance_type=None,
  42642. interaction_constraints='', learning_rate=0.005,
  42643. max_delta_step=0, max_depth=128, max_leaves=1024,
  42644. min_child_weight=1, missing=nan,
  42645. monotone_constraints='()', n_estimators=100,
  42646. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  42647. random_state=4505, reg_alpha=0, reg_lambda=1,
  42648. scale_pos_weight=1, subsample=1,
  42649. tree_method='gpu_hist', validate_parameters=1,
  42650. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  42651. 2022-04-08 17:03:42,049:INFO:Checking exceptions
  42652. 2022-04-08 17:03:42,049:INFO:Preloading libraries
  42653. 2022-04-08 17:04:52,767:INFO:PyCaret Supervised Module
  42654. 2022-04-08 17:04:52,768:INFO:ML Usecase: classification
  42655. 2022-04-08 17:04:52,768:INFO:version 2.3.5
  42656. 2022-04-08 17:04:52,768:INFO:Initializing setup()
  42657. 2022-04-08 17:04:52,768:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  42658. 2022-04-08 17:04:52,768:INFO:Checking environment
  42659. 2022-04-08 17:04:52,769:INFO:python_version: 3.8.13
  42660. 2022-04-08 17:04:52,769:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  42661. 2022-04-08 17:04:52,769:INFO:machine: x86_64
  42662. 2022-04-08 17:04:52,769:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  42663. 2022-04-08 17:04:52,769:INFO:Memory: svmem(total=33619935232, available=30280704000, percent=9.9, used=2483154944, free=22734794752, active=1125773312, inactive=8882651136, buffers=305909760, cached=8096075776, shared=383385600, slab=600391680)
  42664. 2022-04-08 17:04:52,770:INFO:Physical Core: 16
  42665. 2022-04-08 17:04:52,770:INFO:Logical Core: 32
  42666. 2022-04-08 17:04:52,770:INFO:Checking libraries
  42667. 2022-04-08 17:04:52,770:INFO:pd==1.4.2
  42668. 2022-04-08 17:04:52,771:INFO:numpy==1.19.5
  42669. 2022-04-08 17:04:52,771:INFO:sklearn==0.23.2
  42670. 2022-04-08 17:04:52,771:INFO:lightgbm==3.3.2
  42671. 2022-04-08 17:04:52,771:WARNING:catboost not found
  42672. 2022-04-08 17:04:52,851:INFO:xgboost==1.5.2
  42673. 2022-04-08 17:04:52,961:INFO:mlflow==1.24.0
  42674. 2022-04-08 17:04:52,961:INFO:Checking Exceptions
  42675. 2022-04-08 17:04:52,962:INFO:Declaring global variables
  42676. 2022-04-08 17:04:52,962:INFO:USI: 41e5
  42677. 2022-04-08 17:04:52,962:INFO:pycaret_globals: {'_all_models', 'fold_shuffle_param', 'y_test', 'html_param', 'transform_target_param', '_internal_pipeline', 'iterative_imputation_iters_param', 'fold_generator', 'X_test', 'X', 'exp_name_log', 'fold_param', '_available_plots', 'fold_groups_param_full', 'fix_imbalance_method_param', 'transform_target_method_param', 'target_param', 'prep_pipe', 'pycaret_globals', 'USI', 'imputation_regressor', 'X_train', 'log_plots_param', '_gpu_n_jobs_param', 'data_before_preprocess', 'experiment__', 'imputation_classifier', 'logging_param', 'y_train', 'master_model_container', 'n_jobs_param', 'fix_imbalance_param', 'display_container', 'stratify_param', 'y', 'seed', '_all_metrics', 'fold_groups_param', 'gpu_param', 'create_model_container', '_all_models_internal', '_ml_usecase'}
  42678. 2022-04-08 17:04:52,962:INFO:Preparing display monitor
  42679. 2022-04-08 17:04:52,962:INFO:Preparing display monitor
  42680. 2022-04-08 17:04:52,970:INFO:Importing libraries
  42681. 2022-04-08 17:04:52,970:INFO:Copying data for preprocessing
  42682. 2022-04-08 17:04:52,976:INFO:Declaring preprocessing parameters
  42683. 2022-04-08 17:04:52,978:INFO:Creating preprocessing pipeline
  42684. 2022-04-08 17:04:53,007:INFO:Preprocessing pipeline created successfully
  42685. 2022-04-08 17:04:53,008:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  42686. 2022-04-08 17:04:53,008:INFO:Creating global containers
  42687. 2022-04-08 17:04:53,009:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  42688. 2022-04-08 17:04:55,019:WARNING:Couldn't import catboost.CatBoostClassifier
  42689. 2022-04-08 17:04:55,068:WARNING:Couldn't import catboost.CatBoostClassifier
  42690. 2022-04-08 17:04:55,069:INFO:Creating grid variables
  42691. 2022-04-08 17:04:55,075:INFO:create_model_container: 0
  42692. 2022-04-08 17:04:55,075:INFO:master_model_container: 0
  42693. 2022-04-08 17:04:55,076:INFO:display_container: 1
  42694. 2022-04-08 17:04:55,078:INFO:Pipeline(memory=None,
  42695. steps=[('dtypes',
  42696. DataTypes_Auto_infer(categorical_features=[],
  42697. display_types=True, features_todrop=[],
  42698. id_columns=[],
  42699. ml_usecase='classification',
  42700. numerical_features=[], target='label',
  42701. time_features=[])),
  42702. ('imputer',
  42703. Simple_Imputer(categorical_strategy='not_available',
  42704. fill_value_categorical=None,
  42705. fill_value_numerical=None,
  42706. numeric_strate...
  42707. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42708. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42709. ('cluster_all', 'passthrough'),
  42710. ('dummy', Dummify(target='label')),
  42711. ('fix_perfect', Remove_100(target='label')),
  42712. ('clean_names', Clean_Colum_Names()),
  42713. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42714. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42715. verbose=False)
  42716. 2022-04-08 17:04:55,078:INFO:setup() succesfully completed......................................
  42717. 2022-04-08 17:04:58,342:INFO:Initializing load_model()
  42718. 2022-04-08 17:04:58,343:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
  42719. 2022-04-08 17:05:01,198:INFO:Initializing predict_model()
  42720. 2022-04-08 17:05:01,198:INFO:predict_model(estimator=Pipeline(memory=None,
  42721. steps=[('dtypes',
  42722. DataTypes_Auto_infer(categorical_features=[],
  42723. display_types=True, features_todrop=[],
  42724. id_columns=[],
  42725. ml_usecase='classification',
  42726. numerical_features=[], target='label',
  42727. time_features=[])),
  42728. ('imputer',
  42729. Simple_Imputer(categorical_strategy='not_available',
  42730. fill_value_categorical=None,
  42731. fill_value_numerical=None,
  42732. numeric_strate...
  42733. max_delta_step=0, max_depth=128, max_leaves=1024,
  42734. min_child_weight=1, missing=nan,
  42735. monotone_constraints='()', n_estimators=100,
  42736. n_jobs=-1, num_parallel_tree=1,
  42737. objective='binary:logistic', predictor='auto',
  42738. random_state=4505, reg_alpha=0, reg_lambda=1,
  42739. scale_pos_weight=1, subsample=1,
  42740. tree_method='gpu_hist', use_label_encoder=True,
  42741. validate_parameters=1, ...)]],
  42742. verbose=False), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  42743. 2022-04-08 17:05:01,198:INFO:Checking exceptions
  42744. 2022-04-08 17:05:01,198:INFO:Preloading libraries
  42745. 2022-04-08 17:05:01,199:INFO:Preparing display monitor
  42746. 2022-04-08 17:06:57,362:INFO:PyCaret Supervised Module
  42747. 2022-04-08 17:06:57,362:INFO:ML Usecase: classification
  42748. 2022-04-08 17:06:57,362:INFO:version 2.3.5
  42749. 2022-04-08 17:06:57,363:INFO:Initializing setup()
  42750. 2022-04-08 17:06:57,363:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  42751. 2022-04-08 17:06:57,363:INFO:Checking environment
  42752. 2022-04-08 17:06:57,363:INFO:python_version: 3.8.13
  42753. 2022-04-08 17:06:57,363:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  42754. 2022-04-08 17:06:57,363:INFO:machine: x86_64
  42755. 2022-04-08 17:06:57,363:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  42756. 2022-04-08 17:06:57,364:INFO:Memory: svmem(total=33619935232, available=30222585856, percent=10.1, used=2541264896, free=22674399232, active=1127399424, inactive=8937578496, buffers=306868224, cached=8097402880, shared=383385600, slab=601313280)
  42757. 2022-04-08 17:06:57,364:INFO:Physical Core: 16
  42758. 2022-04-08 17:06:57,365:INFO:Logical Core: 32
  42759. 2022-04-08 17:06:57,365:INFO:Checking libraries
  42760. 2022-04-08 17:06:57,365:INFO:pd==1.4.2
  42761. 2022-04-08 17:06:57,365:INFO:numpy==1.19.5
  42762. 2022-04-08 17:06:57,365:INFO:sklearn==0.23.2
  42763. 2022-04-08 17:06:57,365:INFO:lightgbm==3.3.2
  42764. 2022-04-08 17:06:57,366:WARNING:catboost not found
  42765. 2022-04-08 17:06:57,387:INFO:xgboost==1.5.2
  42766. 2022-04-08 17:06:57,500:INFO:mlflow==1.24.0
  42767. 2022-04-08 17:06:57,501:INFO:Checking Exceptions
  42768. 2022-04-08 17:06:57,501:INFO:Declaring global variables
  42769. 2022-04-08 17:06:57,502:INFO:USI: f31f
  42770. 2022-04-08 17:06:57,502:INFO:pycaret_globals: {'transform_target_param', 'X_train', 'pycaret_globals', 'imputation_classifier', '_gpu_n_jobs_param', 'fold_shuffle_param', 'html_param', 'seed', 'fold_groups_param', 'create_model_container', '_all_models', 'prep_pipe', 'exp_name_log', 'experiment__', 'y_test', '_available_plots', 'data_before_preprocess', 'iterative_imputation_iters_param', 'log_plots_param', 'fold_param', 'y', '_internal_pipeline', 'gpu_param', 'transform_target_method_param', '_all_metrics', 'USI', 'stratify_param', 'logging_param', '_all_models_internal', 'fold_generator', 'imputation_regressor', 'X_test', 'y_train', 'target_param', 'master_model_container', 'fix_imbalance_method_param', 'display_container', 'fold_groups_param_full', 'n_jobs_param', 'fix_imbalance_param', '_ml_usecase', 'X'}
  42771. 2022-04-08 17:06:57,502:INFO:Preparing display monitor
  42772. 2022-04-08 17:06:57,502:INFO:Preparing display monitor
  42773. 2022-04-08 17:06:57,510:INFO:Importing libraries
  42774. 2022-04-08 17:06:57,510:INFO:Copying data for preprocessing
  42775. 2022-04-08 17:06:57,516:INFO:Declaring preprocessing parameters
  42776. 2022-04-08 17:06:57,519:INFO:Creating preprocessing pipeline
  42777. 2022-04-08 17:06:57,547:INFO:Preprocessing pipeline created successfully
  42778. 2022-04-08 17:06:57,547:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  42779. 2022-04-08 17:06:57,548:INFO:Creating global containers
  42780. 2022-04-08 17:06:57,548:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  42781. 2022-04-08 17:06:59,761:WARNING:Couldn't import catboost.CatBoostClassifier
  42782. 2022-04-08 17:06:59,812:WARNING:Couldn't import catboost.CatBoostClassifier
  42783. 2022-04-08 17:06:59,813:INFO:Creating grid variables
  42784. 2022-04-08 17:06:59,821:INFO:create_model_container: 0
  42785. 2022-04-08 17:06:59,821:INFO:master_model_container: 0
  42786. 2022-04-08 17:06:59,821:INFO:display_container: 1
  42787. 2022-04-08 17:06:59,824:INFO:Pipeline(memory=None,
  42788. steps=[('dtypes',
  42789. DataTypes_Auto_infer(categorical_features=[],
  42790. display_types=True, features_todrop=[],
  42791. id_columns=[],
  42792. ml_usecase='classification',
  42793. numerical_features=[], target='label',
  42794. time_features=[])),
  42795. ('imputer',
  42796. Simple_Imputer(categorical_strategy='not_available',
  42797. fill_value_categorical=None,
  42798. fill_value_numerical=None,
  42799. numeric_strate...
  42800. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42801. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42802. ('cluster_all', 'passthrough'),
  42803. ('dummy', Dummify(target='label')),
  42804. ('fix_perfect', Remove_100(target='label')),
  42805. ('clean_names', Clean_Colum_Names()),
  42806. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42807. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42808. verbose=False)
  42809. 2022-04-08 17:06:59,824:INFO:setup() succesfully completed......................................
  42810. 2022-04-08 17:07:02,362:INFO:Initializing load_model()
  42811. 2022-04-08 17:07:02,362:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
  42812. 2022-04-08 17:07:05,003:INFO:Initializing predict_model()
  42813. 2022-04-08 17:07:05,003:INFO:predict_model(estimator=Pipeline(memory=None,
  42814. steps=[('dtypes',
  42815. DataTypes_Auto_infer(categorical_features=[],
  42816. display_types=True, features_todrop=[],
  42817. id_columns=[],
  42818. ml_usecase='classification',
  42819. numerical_features=[], target='label',
  42820. time_features=[])),
  42821. ('imputer',
  42822. Simple_Imputer(categorical_strategy='not_available',
  42823. fill_value_categorical=None,
  42824. fill_value_numerical=None,
  42825. numeric_strate...
  42826. max_delta_step=0, max_depth=128, max_leaves=1024,
  42827. min_child_weight=1, missing=nan,
  42828. monotone_constraints='()', n_estimators=100,
  42829. n_jobs=-1, num_parallel_tree=1,
  42830. objective='binary:logistic', predictor='auto',
  42831. random_state=4505, reg_alpha=0, reg_lambda=1,
  42832. scale_pos_weight=1, subsample=1,
  42833. tree_method='gpu_hist', use_label_encoder=True,
  42834. validate_parameters=1, ...)]],
  42835. verbose=False), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  42836. 2022-04-08 17:07:05,004:INFO:Checking exceptions
  42837. 2022-04-08 17:07:05,004:INFO:Preloading libraries
  42838. 2022-04-08 17:07:05,004:INFO:Preparing display monitor
  42839. 2022-04-08 17:10:42,670:INFO:PyCaret Supervised Module
  42840. 2022-04-08 17:10:42,671:INFO:ML Usecase: classification
  42841. 2022-04-08 17:10:42,671:INFO:version 2.3.6
  42842. 2022-04-08 17:10:42,671:INFO:Initializing setup()
  42843. 2022-04-08 17:10:42,671:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  42844. 2022-04-08 17:10:42,671:INFO:Checking environment
  42845. 2022-04-08 17:10:42,671:INFO:python_version: 3.8.13
  42846. 2022-04-08 17:10:42,671:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
  42847. 2022-04-08 17:10:42,672:INFO:machine: x86_64
  42848. 2022-04-08 17:10:42,672:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
  42849. 2022-04-08 17:10:42,672:INFO:Memory: svmem(total=33619935232, available=30043496448, percent=10.6, used=2720378880, free=22493220864, active=1128644608, inactive=9109606400, buffers=307957760, cached=8098377728, shared=383385600, slab=602263552)
  42850. 2022-04-08 17:10:42,673:INFO:Physical Core: 16
  42851. 2022-04-08 17:10:42,673:INFO:Logical Core: 32
  42852. 2022-04-08 17:10:42,673:INFO:Checking libraries
  42853. 2022-04-08 17:10:42,673:INFO:pd==1.4.2
  42854. 2022-04-08 17:10:42,673:INFO:numpy==1.19.5
  42855. 2022-04-08 17:10:42,673:INFO:sklearn==0.23.2
  42856. 2022-04-08 17:10:42,674:INFO:lightgbm==3.3.2
  42857. 2022-04-08 17:10:42,674:WARNING:catboost not found
  42858. 2022-04-08 17:10:42,695:INFO:xgboost==1.5.2
  42859. 2022-04-08 17:10:42,806:INFO:mlflow==1.24.0
  42860. 2022-04-08 17:10:42,807:INFO:Checking Exceptions
  42861. 2022-04-08 17:10:42,807:INFO:Declaring global variables
  42862. 2022-04-08 17:10:42,807:INFO:USI: 17b7
  42863. 2022-04-08 17:10:42,808:INFO:pycaret_globals: {'imputation_regressor', 'fold_groups_param', 'USI', 'fold_param', 'create_model_container', 'master_model_container', 'gpu_param', '_ml_usecase', '_all_metrics', 'imputation_classifier', 'X_train', 'display_container', 'target_param', 'stratify_param', 'data_before_preprocess', 'fold_generator', 'X_test', '_all_models', 'exp_name_log', 'logging_param', 'transform_target_method_param', 'y_train', 'log_plots_param', 'fix_imbalance_param', 'fold_groups_param_full', 'n_jobs_param', '_internal_pipeline', 'experiment__', 'transform_target_param', 'y', 'pycaret_globals', 'fix_imbalance_method_param', 'y_test', 'prep_pipe', '_gpu_n_jobs_param', '_available_plots', 'iterative_imputation_iters_param', 'X', 'fold_shuffle_param', 'html_param', 'seed', '_all_models_internal'}
  42864. 2022-04-08 17:10:42,808:INFO:Preparing display monitor
  42865. 2022-04-08 17:10:42,808:INFO:Preparing display monitor
  42866. 2022-04-08 17:10:42,816:INFO:Importing libraries
  42867. 2022-04-08 17:10:42,816:INFO:Copying data for preprocessing
  42868. 2022-04-08 17:10:42,821:INFO:Declaring preprocessing parameters
  42869. 2022-04-08 17:10:42,825:INFO:Creating preprocessing pipeline
  42870. 2022-04-08 17:10:42,853:INFO:Preprocessing pipeline created successfully
  42871. 2022-04-08 17:10:42,853:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  42872. 2022-04-08 17:10:42,853:INFO:Creating global containers
  42873. 2022-04-08 17:10:42,854:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  42874. 2022-04-08 17:10:44,800:WARNING:Couldn't import catboost.CatBoostClassifier
  42875. 2022-04-08 17:10:44,849:WARNING:Couldn't import catboost.CatBoostClassifier
  42876. 2022-04-08 17:10:44,849:INFO:Creating grid variables
  42877. 2022-04-08 17:10:44,857:INFO:create_model_container: 0
  42878. 2022-04-08 17:10:44,857:INFO:master_model_container: 0
  42879. 2022-04-08 17:10:44,857:INFO:display_container: 1
  42880. 2022-04-08 17:10:44,859:INFO:Pipeline(memory=None,
  42881. steps=[('dtypes',
  42882. DataTypes_Auto_infer(categorical_features=[],
  42883. display_types=True, features_todrop=[],
  42884. id_columns=[],
  42885. ml_usecase='classification',
  42886. numerical_features=[], target='label',
  42887. time_features=[])),
  42888. ('imputer',
  42889. Simple_Imputer(categorical_strategy='not_available',
  42890. fill_value_categorical=None,
  42891. fill_value_numerical=None,
  42892. numeric_strate...
  42893. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42894. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42895. ('cluster_all', 'passthrough'),
  42896. ('dummy', Dummify(target='label')),
  42897. ('fix_perfect', Remove_100(target='label')),
  42898. ('clean_names', Clean_Colum_Names()),
  42899. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42900. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42901. verbose=False)
  42902. 2022-04-08 17:10:44,860:INFO:setup() succesfully completed......................................
  42903. 2022-04-08 17:10:47,026:INFO:Initializing load_model()
  42904. 2022-04-08 17:10:47,026:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
  42905. 2022-04-08 17:10:49,864:INFO:Initializing predict_model()
  42906. 2022-04-08 17:10:49,864:INFO:predict_model(estimator=Pipeline(memory=None,
  42907. steps=[('dtypes',
  42908. DataTypes_Auto_infer(categorical_features=[],
  42909. display_types=True, features_todrop=[],
  42910. id_columns=[],
  42911. ml_usecase='classification',
  42912. numerical_features=[], target='label',
  42913. time_features=[])),
  42914. ('imputer',
  42915. Simple_Imputer(categorical_strategy='not_available',
  42916. fill_value_categorical=None,
  42917. fill_value_numerical=None,
  42918. numeric_strate...
  42919. max_delta_step=0, max_depth=128, max_leaves=1024,
  42920. min_child_weight=1, missing=nan,
  42921. monotone_constraints='()', n_estimators=100,
  42922. n_jobs=-1, num_parallel_tree=1,
  42923. objective='binary:logistic', predictor='auto',
  42924. random_state=4505, reg_alpha=0, reg_lambda=1,
  42925. scale_pos_weight=1, subsample=1,
  42926. tree_method='gpu_hist', use_label_encoder=True,
  42927. validate_parameters=1, ...)]],
  42928. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  42929. 2022-04-08 17:10:49,864:INFO:Checking exceptions
  42930. 2022-04-08 17:10:49,864:INFO:Preloading libraries
  42931. 2022-04-08 17:10:49,865:INFO:Preparing display monitor
  42932. 2022-04-08 17:10:57,123:INFO:Initializing get_config()
  42933. 2022-04-08 17:10:57,123:INFO:get_config(variable=prep_pipe)
  42934. 2022-04-08 17:10:57,126:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42935. steps=[('dtypes',
  42936. DataTypes_Auto_infer(categorical_features=[],
  42937. display_types=True, features_todrop=[],
  42938. id_columns=[],
  42939. ml_usecase='classification',
  42940. numerical_features=[], target='label',
  42941. time_features=[])),
  42942. ('imputer',
  42943. Simple_Imputer(categorical_strategy='not_available',
  42944. fill_value_categorical=None,
  42945. fill_value_numerical=None,
  42946. numeric_strate...
  42947. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  42948. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  42949. ('cluster_all', 'passthrough'),
  42950. ('dummy', Dummify(target='label')),
  42951. ('fix_perfect', Remove_100(target='label')),
  42952. ('clean_names', Clean_Colum_Names()),
  42953. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  42954. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  42955. verbose=False)
  42956. 2022-04-08 17:10:57,126:INFO:get_config() succesfully completed......................................
  42957. 2022-04-08 17:10:57,126:INFO:Initializing get_config()
  42958. 2022-04-08 17:10:57,126:INFO:get_config(variable=data_before_preprocess)
  42959. 2022-04-08 17:10:57,129:INFO:Global variable: data_before_preprocess returned as label hum temp door motion illum dayofweek month day hour \
  42960. 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42961. 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42962. 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42963. 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42964. 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
  42965. ... ... ... ... ... ... ... ... ... ... ...
  42966. 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42967. 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42968. 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42969. 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42970. 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
  42971. minute
  42972. 0 0
  42973. 1 1
  42974. 2 2
  42975. 3 3
  42976. 4 4
  42977. ... ...
  42978. 64795 55
  42979. 64796 56
  42980. 64797 57
  42981. 64798 58
  42982. 64799 59
  42983. [64800 rows x 11 columns]
  42984. 2022-04-08 17:10:57,129:INFO:get_config() succesfully completed......................................
  42985. 2022-04-08 17:10:57,131:INFO:Initializing get_config()
  42986. 2022-04-08 17:10:57,131:INFO:get_config(variable=prep_pipe)
  42987. 2022-04-08 17:10:57,133:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  42988. steps=[('dtypes',
  42989. DataTypes_Auto_infer(categorical_features=[],
  42990. display_types=True, features_todrop=[],
  42991. id_columns=[],
  42992. ml_usecase='classification',
  42993. numerical_features=[], target='label',
  42994. time_features=[])),
  42995. ('imputer',
  42996. Simple_Imputer(categorical_strategy='not_available',
  42997. fill_value_categorical=None,
  42998. fill_value_numerical=None,
  42999. numeric_strate...
  43000. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  43001. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  43002. ('cluster_all', 'passthrough'),
  43003. ('dummy', Dummify(target='label')),
  43004. ('fix_perfect', Remove_100(target='label')),
  43005. ('clean_names', Clean_Colum_Names()),
  43006. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  43007. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  43008. verbose=False)
  43009. 2022-04-08 17:10:57,133:INFO:get_config() succesfully completed......................................
  43010. 2022-04-08 17:10:57,141:INFO:Initializing save_model()
  43011. 2022-04-08 17:10:57,142:INFO:save_model(model=Pipeline(memory=None,
  43012. steps=[('dtypes',
  43013. DataTypes_Auto_infer(categorical_features=[],
  43014. display_types=True, features_todrop=[],
  43015. id_columns=[],
  43016. ml_usecase='classification',
  43017. numerical_features=[], target='label',
  43018. time_features=[])),
  43019. ('imputer',
  43020. Simple_Imputer(categorical_strategy='not_available',
  43021. fill_value_categorical=None,
  43022. fill_value_numerical=None,
  43023. numeric_strate...
  43024. max_delta_step=0, max_depth=128, max_leaves=1024,
  43025. min_child_weight=1, missing=nan,
  43026. monotone_constraints='()', n_estimators=100,
  43027. n_jobs=-1, num_parallel_tree=1,
  43028. objective='binary:logistic', predictor='auto',
  43029. random_state=4505, reg_alpha=0, reg_lambda=1,
  43030. scale_pos_weight=1, subsample=1,
  43031. tree_method='gpu_hist', use_label_encoder=True,
  43032. validate_parameters=1, ...)]],
  43033. verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
  43034. steps=[('dtypes',
  43035. DataTypes_Auto_infer(categorical_features=[],
  43036. display_types=True, features_todrop=[],
  43037. id_columns=[],
  43038. ml_usecase='classification',
  43039. numerical_features=[], target='label',
  43040. time_features=[])),
  43041. ('imputer',
  43042. Simple_Imputer(categorical_strategy='not_available',
  43043. fill_value_categorical=None,
  43044. fill_value_numerical=None,
  43045. numeric_strate...
  43046. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  43047. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  43048. ('cluster_all', 'passthrough'),
  43049. ('dummy', Dummify(target='label')),
  43050. ('fix_perfect', Remove_100(target='label')),
  43051. ('clean_names', Clean_Colum_Names()),
  43052. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  43053. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  43054. verbose=False), verbose=False, kwargs={})
  43055. 2022-04-08 17:10:57,142:INFO:Adding model into prep_pipe
  43056. 2022-04-08 17:10:57,317:WARNING:Only Model saved as it was a pipeline.
  43057. 2022-04-08 17:10:57,415:INFO:my_api.pkl saved in current working directory
  43058. 2022-04-08 17:10:57,421:INFO:Pipeline(memory=None,
  43059. steps=[('dtypes',
  43060. DataTypes_Auto_infer(categorical_features=[],
  43061. display_types=True, features_todrop=[],
  43062. id_columns=[],
  43063. ml_usecase='classification',
  43064. numerical_features=[], target='label',
  43065. time_features=[])),
  43066. ('imputer',
  43067. Simple_Imputer(categorical_strategy='not_available',
  43068. fill_value_categorical=None,
  43069. fill_value_numerical=None,
  43070. numeric_strate...
  43071. max_delta_step=0, max_depth=128, max_leaves=1024,
  43072. min_child_weight=1, missing=nan,
  43073. monotone_constraints='()', n_estimators=100,
  43074. n_jobs=-1, num_parallel_tree=1,
  43075. objective='binary:logistic', predictor='auto',
  43076. random_state=4505, reg_alpha=0, reg_lambda=1,
  43077. scale_pos_weight=1, subsample=1,
  43078. tree_method='gpu_hist', use_label_encoder=True,
  43079. validate_parameters=1, ...)]],
  43080. verbose=False)
  43081. 2022-04-08 17:10:57,421:INFO:save_model() successfully completed......................................
  43082. 2022-04-08 17:13:28,926:INFO:Initializing load_model()
  43083. 2022-04-08 17:13:28,926:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  43084. 2022-04-08 17:13:39,349:INFO:Initializing predict_model()
  43085. 2022-04-08 17:13:39,349:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43086. DataTypes_Auto_infer(ml_usecase='classification',
  43087. target='label')),
  43088. ('imputer',
  43089. Simple_Imputer(categorical_strategy='not_available',
  43090. fill_value_categorical=None,
  43091. fill_value_numerical=None,
  43092. numeric_strategy='mean',
  43093. target_variable=None)),
  43094. ('new_levels1',
  43095. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43096. 'frequent',
  43097. targe...
  43098. gamma=0, gpu_id=0, importance_type=None,
  43099. interaction_constraints='', learning_rate=0.005,
  43100. max_delta_step=0, max_depth=128, max_leaves=1024,
  43101. min_child_weight=1, missing=nan,
  43102. monotone_constraints='()', n_estimators=100,
  43103. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43104. random_state=4505, reg_alpha=0, reg_lambda=1,
  43105. scale_pos_weight=1, subsample=1,
  43106. tree_method='gpu_hist', validate_parameters=1,
  43107. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43108. 2022-04-08 17:13:39,349:INFO:Checking exceptions
  43109. 2022-04-08 17:13:39,350:INFO:Preloading libraries
  43110. 2022-04-08 17:13:43,779:INFO:Initializing predict_model()
  43111. 2022-04-08 17:13:43,779:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43112. DataTypes_Auto_infer(ml_usecase='classification',
  43113. target='label')),
  43114. ('imputer',
  43115. Simple_Imputer(categorical_strategy='not_available',
  43116. fill_value_categorical=None,
  43117. fill_value_numerical=None,
  43118. numeric_strategy='mean',
  43119. target_variable=None)),
  43120. ('new_levels1',
  43121. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43122. 'frequent',
  43123. targe...
  43124. gamma=0, gpu_id=0, importance_type=None,
  43125. interaction_constraints='', learning_rate=0.005,
  43126. max_delta_step=0, max_depth=128, max_leaves=1024,
  43127. min_child_weight=1, missing=nan,
  43128. monotone_constraints='()', n_estimators=100,
  43129. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43130. random_state=4505, reg_alpha=0, reg_lambda=1,
  43131. scale_pos_weight=1, subsample=1,
  43132. tree_method='gpu_hist', validate_parameters=1,
  43133. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43134. 2022-04-08 17:13:43,779:INFO:Checking exceptions
  43135. 2022-04-08 17:13:43,779:INFO:Preloading libraries
  43136. 2022-04-08 17:15:16,144:INFO:Initializing load_model()
  43137. 2022-04-08 17:15:16,145:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  43138. 2022-04-08 17:15:52,616:INFO:Initializing predict_model()
  43139. 2022-04-08 17:15:52,616:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43140. DataTypes_Auto_infer(ml_usecase='classification',
  43141. target='label')),
  43142. ('imputer',
  43143. Simple_Imputer(categorical_strategy='not_available',
  43144. fill_value_categorical=None,
  43145. fill_value_numerical=None,
  43146. numeric_strategy='mean',
  43147. target_variable=None)),
  43148. ('new_levels1',
  43149. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43150. 'frequent',
  43151. targe...
  43152. gamma=0, gpu_id=0, importance_type=None,
  43153. interaction_constraints='', learning_rate=0.005,
  43154. max_delta_step=0, max_depth=128, max_leaves=1024,
  43155. min_child_weight=1, missing=nan,
  43156. monotone_constraints='()', n_estimators=100,
  43157. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43158. random_state=4505, reg_alpha=0, reg_lambda=1,
  43159. scale_pos_weight=1, subsample=1,
  43160. tree_method='gpu_hist', validate_parameters=1,
  43161. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43162. 2022-04-08 17:15:52,616:INFO:Checking exceptions
  43163. 2022-04-08 17:15:52,616:INFO:Preloading libraries
  43164. 2022-04-08 17:18:23,035:INFO:Initializing predict_model()
  43165. 2022-04-08 17:18:23,035:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43166. DataTypes_Auto_infer(ml_usecase='classification',
  43167. target='label')),
  43168. ('imputer',
  43169. Simple_Imputer(categorical_strategy='not_available',
  43170. fill_value_categorical=None,
  43171. fill_value_numerical=None,
  43172. numeric_strategy='mean',
  43173. target_variable=None)),
  43174. ('new_levels1',
  43175. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43176. 'frequent',
  43177. targe...
  43178. gamma=0, gpu_id=0, importance_type=None,
  43179. interaction_constraints='', learning_rate=0.005,
  43180. max_delta_step=0, max_depth=128, max_leaves=1024,
  43181. min_child_weight=1, missing=nan,
  43182. monotone_constraints='()', n_estimators=100,
  43183. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43184. random_state=4505, reg_alpha=0, reg_lambda=1,
  43185. scale_pos_weight=1, subsample=1,
  43186. tree_method='gpu_hist', validate_parameters=1,
  43187. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43188. 2022-04-08 17:18:23,035:INFO:Checking exceptions
  43189. 2022-04-08 17:18:23,035:INFO:Preloading libraries
  43190. 2022-04-08 17:18:25,201:INFO:Initializing predict_model()
  43191. 2022-04-08 17:18:25,201:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43192. DataTypes_Auto_infer(ml_usecase='classification',
  43193. target='label')),
  43194. ('imputer',
  43195. Simple_Imputer(categorical_strategy='not_available',
  43196. fill_value_categorical=None,
  43197. fill_value_numerical=None,
  43198. numeric_strategy='mean',
  43199. target_variable=None)),
  43200. ('new_levels1',
  43201. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43202. 'frequent',
  43203. targe...
  43204. gamma=0, gpu_id=0, importance_type=None,
  43205. interaction_constraints='', learning_rate=0.005,
  43206. max_delta_step=0, max_depth=128, max_leaves=1024,
  43207. min_child_weight=1, missing=nan,
  43208. monotone_constraints='()', n_estimators=100,
  43209. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43210. random_state=4505, reg_alpha=0, reg_lambda=1,
  43211. scale_pos_weight=1, subsample=1,
  43212. tree_method='gpu_hist', validate_parameters=1,
  43213. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43214. 2022-04-08 17:18:25,201:INFO:Checking exceptions
  43215. 2022-04-08 17:18:25,201:INFO:Preloading libraries
  43216. 2022-04-08 17:18:27,349:INFO:Initializing predict_model()
  43217. 2022-04-08 17:18:27,349:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43218. DataTypes_Auto_infer(ml_usecase='classification',
  43219. target='label')),
  43220. ('imputer',
  43221. Simple_Imputer(categorical_strategy='not_available',
  43222. fill_value_categorical=None,
  43223. fill_value_numerical=None,
  43224. numeric_strategy='mean',
  43225. target_variable=None)),
  43226. ('new_levels1',
  43227. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43228. 'frequent',
  43229. targe...
  43230. gamma=0, gpu_id=0, importance_type=None,
  43231. interaction_constraints='', learning_rate=0.005,
  43232. max_delta_step=0, max_depth=128, max_leaves=1024,
  43233. min_child_weight=1, missing=nan,
  43234. monotone_constraints='()', n_estimators=100,
  43235. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43236. random_state=4505, reg_alpha=0, reg_lambda=1,
  43237. scale_pos_weight=1, subsample=1,
  43238. tree_method='gpu_hist', validate_parameters=1,
  43239. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43240. 2022-04-08 17:18:27,349:INFO:Checking exceptions
  43241. 2022-04-08 17:18:27,349:INFO:Preloading libraries
  43242. 2022-04-08 17:18:29,509:INFO:Initializing predict_model()
  43243. 2022-04-08 17:18:29,509:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43244. DataTypes_Auto_infer(ml_usecase='classification',
  43245. target='label')),
  43246. ('imputer',
  43247. Simple_Imputer(categorical_strategy='not_available',
  43248. fill_value_categorical=None,
  43249. fill_value_numerical=None,
  43250. numeric_strategy='mean',
  43251. target_variable=None)),
  43252. ('new_levels1',
  43253. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43254. 'frequent',
  43255. targe...
  43256. gamma=0, gpu_id=0, importance_type=None,
  43257. interaction_constraints='', learning_rate=0.005,
  43258. max_delta_step=0, max_depth=128, max_leaves=1024,
  43259. min_child_weight=1, missing=nan,
  43260. monotone_constraints='()', n_estimators=100,
  43261. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43262. random_state=4505, reg_alpha=0, reg_lambda=1,
  43263. scale_pos_weight=1, subsample=1,
  43264. tree_method='gpu_hist', validate_parameters=1,
  43265. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43266. 2022-04-08 17:18:29,509:INFO:Checking exceptions
  43267. 2022-04-08 17:18:29,509:INFO:Preloading libraries
  43268. 2022-04-08 17:18:31,660:INFO:Initializing predict_model()
  43269. 2022-04-08 17:18:31,660:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43270. DataTypes_Auto_infer(ml_usecase='classification',
  43271. target='label')),
  43272. ('imputer',
  43273. Simple_Imputer(categorical_strategy='not_available',
  43274. fill_value_categorical=None,
  43275. fill_value_numerical=None,
  43276. numeric_strategy='mean',
  43277. target_variable=None)),
  43278. ('new_levels1',
  43279. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43280. 'frequent',
  43281. targe...
  43282. gamma=0, gpu_id=0, importance_type=None,
  43283. interaction_constraints='', learning_rate=0.005,
  43284. max_delta_step=0, max_depth=128, max_leaves=1024,
  43285. min_child_weight=1, missing=nan,
  43286. monotone_constraints='()', n_estimators=100,
  43287. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43288. random_state=4505, reg_alpha=0, reg_lambda=1,
  43289. scale_pos_weight=1, subsample=1,
  43290. tree_method='gpu_hist', validate_parameters=1,
  43291. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43292. 2022-04-08 17:18:31,660:INFO:Checking exceptions
  43293. 2022-04-08 17:18:31,660:INFO:Preloading libraries
  43294. 2022-04-08 17:18:33,816:INFO:Initializing predict_model()
  43295. 2022-04-08 17:18:33,816:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43296. DataTypes_Auto_infer(ml_usecase='classification',
  43297. target='label')),
  43298. ('imputer',
  43299. Simple_Imputer(categorical_strategy='not_available',
  43300. fill_value_categorical=None,
  43301. fill_value_numerical=None,
  43302. numeric_strategy='mean',
  43303. target_variable=None)),
  43304. ('new_levels1',
  43305. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43306. 'frequent',
  43307. targe...
  43308. gamma=0, gpu_id=0, importance_type=None,
  43309. interaction_constraints='', learning_rate=0.005,
  43310. max_delta_step=0, max_depth=128, max_leaves=1024,
  43311. min_child_weight=1, missing=nan,
  43312. monotone_constraints='()', n_estimators=100,
  43313. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43314. random_state=4505, reg_alpha=0, reg_lambda=1,
  43315. scale_pos_weight=1, subsample=1,
  43316. tree_method='gpu_hist', validate_parameters=1,
  43317. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43318. 2022-04-08 17:18:33,816:INFO:Checking exceptions
  43319. 2022-04-08 17:18:33,816:INFO:Preloading libraries
  43320. 2022-04-08 17:18:35,972:INFO:Initializing predict_model()
  43321. 2022-04-08 17:18:35,972:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43322. DataTypes_Auto_infer(ml_usecase='classification',
  43323. target='label')),
  43324. ('imputer',
  43325. Simple_Imputer(categorical_strategy='not_available',
  43326. fill_value_categorical=None,
  43327. fill_value_numerical=None,
  43328. numeric_strategy='mean',
  43329. target_variable=None)),
  43330. ('new_levels1',
  43331. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43332. 'frequent',
  43333. targe...
  43334. gamma=0, gpu_id=0, importance_type=None,
  43335. interaction_constraints='', learning_rate=0.005,
  43336. max_delta_step=0, max_depth=128, max_leaves=1024,
  43337. min_child_weight=1, missing=nan,
  43338. monotone_constraints='()', n_estimators=100,
  43339. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43340. random_state=4505, reg_alpha=0, reg_lambda=1,
  43341. scale_pos_weight=1, subsample=1,
  43342. tree_method='gpu_hist', validate_parameters=1,
  43343. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43344. 2022-04-08 17:18:35,972:INFO:Checking exceptions
  43345. 2022-04-08 17:18:35,972:INFO:Preloading libraries
  43346. 2022-04-08 17:18:38,120:INFO:Initializing predict_model()
  43347. 2022-04-08 17:18:38,120:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43348. DataTypes_Auto_infer(ml_usecase='classification',
  43349. target='label')),
  43350. ('imputer',
  43351. Simple_Imputer(categorical_strategy='not_available',
  43352. fill_value_categorical=None,
  43353. fill_value_numerical=None,
  43354. numeric_strategy='mean',
  43355. target_variable=None)),
  43356. ('new_levels1',
  43357. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43358. 'frequent',
  43359. targe...
  43360. gamma=0, gpu_id=0, importance_type=None,
  43361. interaction_constraints='', learning_rate=0.005,
  43362. max_delta_step=0, max_depth=128, max_leaves=1024,
  43363. min_child_weight=1, missing=nan,
  43364. monotone_constraints='()', n_estimators=100,
  43365. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43366. random_state=4505, reg_alpha=0, reg_lambda=1,
  43367. scale_pos_weight=1, subsample=1,
  43368. tree_method='gpu_hist', validate_parameters=1,
  43369. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43370. 2022-04-08 17:18:38,120:INFO:Checking exceptions
  43371. 2022-04-08 17:18:38,120:INFO:Preloading libraries
  43372. 2022-04-08 17:18:40,265:INFO:Initializing predict_model()
  43373. 2022-04-08 17:18:40,265:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43374. DataTypes_Auto_infer(ml_usecase='classification',
  43375. target='label')),
  43376. ('imputer',
  43377. Simple_Imputer(categorical_strategy='not_available',
  43378. fill_value_categorical=None,
  43379. fill_value_numerical=None,
  43380. numeric_strategy='mean',
  43381. target_variable=None)),
  43382. ('new_levels1',
  43383. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43384. 'frequent',
  43385. targe...
  43386. gamma=0, gpu_id=0, importance_type=None,
  43387. interaction_constraints='', learning_rate=0.005,
  43388. max_delta_step=0, max_depth=128, max_leaves=1024,
  43389. min_child_weight=1, missing=nan,
  43390. monotone_constraints='()', n_estimators=100,
  43391. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43392. random_state=4505, reg_alpha=0, reg_lambda=1,
  43393. scale_pos_weight=1, subsample=1,
  43394. tree_method='gpu_hist', validate_parameters=1,
  43395. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43396. 2022-04-08 17:18:40,265:INFO:Checking exceptions
  43397. 2022-04-08 17:18:40,265:INFO:Preloading libraries
  43398. 2022-04-08 17:18:42,413:INFO:Initializing predict_model()
  43399. 2022-04-08 17:18:42,413:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43400. DataTypes_Auto_infer(ml_usecase='classification',
  43401. target='label')),
  43402. ('imputer',
  43403. Simple_Imputer(categorical_strategy='not_available',
  43404. fill_value_categorical=None,
  43405. fill_value_numerical=None,
  43406. numeric_strategy='mean',
  43407. target_variable=None)),
  43408. ('new_levels1',
  43409. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43410. 'frequent',
  43411. targe...
  43412. gamma=0, gpu_id=0, importance_type=None,
  43413. interaction_constraints='', learning_rate=0.005,
  43414. max_delta_step=0, max_depth=128, max_leaves=1024,
  43415. min_child_weight=1, missing=nan,
  43416. monotone_constraints='()', n_estimators=100,
  43417. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43418. random_state=4505, reg_alpha=0, reg_lambda=1,
  43419. scale_pos_weight=1, subsample=1,
  43420. tree_method='gpu_hist', validate_parameters=1,
  43421. verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43422. 2022-04-08 17:18:42,413:INFO:Checking exceptions
  43423. 2022-04-08 17:18:42,413:INFO:Preloading libraries
  43424. 2022-04-08 17:20:40,493:INFO:Initializing load_model()
  43425. 2022-04-08 17:20:40,493:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
  43426. 2022-04-08 17:20:50,403:INFO:Initializing predict_model()
  43427. 2022-04-08 17:20:50,403:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43428. DataTypes_Auto_infer(ml_usecase='classification',
  43429. target='label')),
  43430. ('imputer',
  43431. Simple_Imputer(categorical_strategy='not_available',
  43432. fill_value_categorical=None,
  43433. fill_value_numerical=None,
  43434. numeric_strategy='mean',
  43435. target_variable=None)),
  43436. ('new_levels1',
  43437. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43438. 'frequent',
  43439. targe...
  43440. gamma=0, gpu_id=0, importance_type=None,
  43441. interaction_constraints='', learning_rate=0.005,
  43442. max_delta_step=0, max_depth=128, max_leaves=1024,
  43443. min_child_weight=1, missing=nan,
  43444. monotone_constraints='()', n_estimators=100,
  43445. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43446. random_state=4505, reg_alpha=0, reg_lambda=1,
  43447. scale_pos_weight=1, subsample=1,
  43448. tree_method='gpu_hist', validate_parameters=1,
  43449. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43450. 2022-04-08 17:20:50,403:INFO:Checking exceptions
  43451. 2022-04-08 17:20:50,403:INFO:Preloading libraries
  43452. 2022-04-08 17:20:52,890:INFO:Initializing predict_model()
  43453. 2022-04-08 17:20:52,890:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43454. DataTypes_Auto_infer(ml_usecase='classification',
  43455. target='label')),
  43456. ('imputer',
  43457. Simple_Imputer(categorical_strategy='not_available',
  43458. fill_value_categorical=None,
  43459. fill_value_numerical=None,
  43460. numeric_strategy='mean',
  43461. target_variable=None)),
  43462. ('new_levels1',
  43463. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43464. 'frequent',
  43465. targe...
  43466. gamma=0, gpu_id=0, importance_type=None,
  43467. interaction_constraints='', learning_rate=0.005,
  43468. max_delta_step=0, max_depth=128, max_leaves=1024,
  43469. min_child_weight=1, missing=nan,
  43470. monotone_constraints='()', n_estimators=100,
  43471. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43472. random_state=4505, reg_alpha=0, reg_lambda=1,
  43473. scale_pos_weight=1, subsample=1,
  43474. tree_method='gpu_hist', validate_parameters=1,
  43475. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43476. 2022-04-08 17:20:52,890:INFO:Checking exceptions
  43477. 2022-04-08 17:20:52,890:INFO:Preloading libraries
  43478. 2022-04-08 17:20:55,049:INFO:Initializing predict_model()
  43479. 2022-04-08 17:20:55,049:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43480. DataTypes_Auto_infer(ml_usecase='classification',
  43481. target='label')),
  43482. ('imputer',
  43483. Simple_Imputer(categorical_strategy='not_available',
  43484. fill_value_categorical=None,
  43485. fill_value_numerical=None,
  43486. numeric_strategy='mean',
  43487. target_variable=None)),
  43488. ('new_levels1',
  43489. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43490. 'frequent',
  43491. targe...
  43492. gamma=0, gpu_id=0, importance_type=None,
  43493. interaction_constraints='', learning_rate=0.005,
  43494. max_delta_step=0, max_depth=128, max_leaves=1024,
  43495. min_child_weight=1, missing=nan,
  43496. monotone_constraints='()', n_estimators=100,
  43497. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43498. random_state=4505, reg_alpha=0, reg_lambda=1,
  43499. scale_pos_weight=1, subsample=1,
  43500. tree_method='gpu_hist', validate_parameters=1,
  43501. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43502. 2022-04-08 17:20:55,049:INFO:Checking exceptions
  43503. 2022-04-08 17:20:55,049:INFO:Preloading libraries
  43504. 2022-04-08 17:20:57,211:INFO:Initializing predict_model()
  43505. 2022-04-08 17:20:57,211:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43506. DataTypes_Auto_infer(ml_usecase='classification',
  43507. target='label')),
  43508. ('imputer',
  43509. Simple_Imputer(categorical_strategy='not_available',
  43510. fill_value_categorical=None,
  43511. fill_value_numerical=None,
  43512. numeric_strategy='mean',
  43513. target_variable=None)),
  43514. ('new_levels1',
  43515. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43516. 'frequent',
  43517. targe...
  43518. gamma=0, gpu_id=0, importance_type=None,
  43519. interaction_constraints='', learning_rate=0.005,
  43520. max_delta_step=0, max_depth=128, max_leaves=1024,
  43521. min_child_weight=1, missing=nan,
  43522. monotone_constraints='()', n_estimators=100,
  43523. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43524. random_state=4505, reg_alpha=0, reg_lambda=1,
  43525. scale_pos_weight=1, subsample=1,
  43526. tree_method='gpu_hist', validate_parameters=1,
  43527. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43528. 2022-04-08 17:20:57,211:INFO:Checking exceptions
  43529. 2022-04-08 17:20:57,211:INFO:Preloading libraries
  43530. 2022-04-08 17:20:59,357:INFO:Initializing predict_model()
  43531. 2022-04-08 17:20:59,357:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43532. DataTypes_Auto_infer(ml_usecase='classification',
  43533. target='label')),
  43534. ('imputer',
  43535. Simple_Imputer(categorical_strategy='not_available',
  43536. fill_value_categorical=None,
  43537. fill_value_numerical=None,
  43538. numeric_strategy='mean',
  43539. target_variable=None)),
  43540. ('new_levels1',
  43541. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43542. 'frequent',
  43543. targe...
  43544. gamma=0, gpu_id=0, importance_type=None,
  43545. interaction_constraints='', learning_rate=0.005,
  43546. max_delta_step=0, max_depth=128, max_leaves=1024,
  43547. min_child_weight=1, missing=nan,
  43548. monotone_constraints='()', n_estimators=100,
  43549. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43550. random_state=4505, reg_alpha=0, reg_lambda=1,
  43551. scale_pos_weight=1, subsample=1,
  43552. tree_method='gpu_hist', validate_parameters=1,
  43553. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43554. 2022-04-08 17:20:59,357:INFO:Checking exceptions
  43555. 2022-04-08 17:20:59,357:INFO:Preloading libraries
  43556. 2022-04-08 17:21:01,521:INFO:Initializing predict_model()
  43557. 2022-04-08 17:21:01,521:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43558. DataTypes_Auto_infer(ml_usecase='classification',
  43559. target='label')),
  43560. ('imputer',
  43561. Simple_Imputer(categorical_strategy='not_available',
  43562. fill_value_categorical=None,
  43563. fill_value_numerical=None,
  43564. numeric_strategy='mean',
  43565. target_variable=None)),
  43566. ('new_levels1',
  43567. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43568. 'frequent',
  43569. targe...
  43570. gamma=0, gpu_id=0, importance_type=None,
  43571. interaction_constraints='', learning_rate=0.005,
  43572. max_delta_step=0, max_depth=128, max_leaves=1024,
  43573. min_child_weight=1, missing=nan,
  43574. monotone_constraints='()', n_estimators=100,
  43575. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43576. random_state=4505, reg_alpha=0, reg_lambda=1,
  43577. scale_pos_weight=1, subsample=1,
  43578. tree_method='gpu_hist', validate_parameters=1,
  43579. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43580. 2022-04-08 17:21:01,521:INFO:Checking exceptions
  43581. 2022-04-08 17:21:01,521:INFO:Preloading libraries
  43582. 2022-04-08 17:21:03,671:INFO:Initializing predict_model()
  43583. 2022-04-08 17:21:03,671:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43584. DataTypes_Auto_infer(ml_usecase='classification',
  43585. target='label')),
  43586. ('imputer',
  43587. Simple_Imputer(categorical_strategy='not_available',
  43588. fill_value_categorical=None,
  43589. fill_value_numerical=None,
  43590. numeric_strategy='mean',
  43591. target_variable=None)),
  43592. ('new_levels1',
  43593. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43594. 'frequent',
  43595. targe...
  43596. gamma=0, gpu_id=0, importance_type=None,
  43597. interaction_constraints='', learning_rate=0.005,
  43598. max_delta_step=0, max_depth=128, max_leaves=1024,
  43599. min_child_weight=1, missing=nan,
  43600. monotone_constraints='()', n_estimators=100,
  43601. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43602. random_state=4505, reg_alpha=0, reg_lambda=1,
  43603. scale_pos_weight=1, subsample=1,
  43604. tree_method='gpu_hist', validate_parameters=1,
  43605. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43606. 2022-04-08 17:21:03,671:INFO:Checking exceptions
  43607. 2022-04-08 17:21:03,671:INFO:Preloading libraries
  43608. 2022-04-08 17:21:05,819:INFO:Initializing predict_model()
  43609. 2022-04-08 17:21:05,819:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43610. DataTypes_Auto_infer(ml_usecase='classification',
  43611. target='label')),
  43612. ('imputer',
  43613. Simple_Imputer(categorical_strategy='not_available',
  43614. fill_value_categorical=None,
  43615. fill_value_numerical=None,
  43616. numeric_strategy='mean',
  43617. target_variable=None)),
  43618. ('new_levels1',
  43619. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43620. 'frequent',
  43621. targe...
  43622. gamma=0, gpu_id=0, importance_type=None,
  43623. interaction_constraints='', learning_rate=0.005,
  43624. max_delta_step=0, max_depth=128, max_leaves=1024,
  43625. min_child_weight=1, missing=nan,
  43626. monotone_constraints='()', n_estimators=100,
  43627. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43628. random_state=4505, reg_alpha=0, reg_lambda=1,
  43629. scale_pos_weight=1, subsample=1,
  43630. tree_method='gpu_hist', validate_parameters=1,
  43631. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43632. 2022-04-08 17:21:05,819:INFO:Checking exceptions
  43633. 2022-04-08 17:21:05,819:INFO:Preloading libraries
  43634. 2022-04-08 17:21:07,980:INFO:Initializing predict_model()
  43635. 2022-04-08 17:21:07,980:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43636. DataTypes_Auto_infer(ml_usecase='classification',
  43637. target='label')),
  43638. ('imputer',
  43639. Simple_Imputer(categorical_strategy='not_available',
  43640. fill_value_categorical=None,
  43641. fill_value_numerical=None,
  43642. numeric_strategy='mean',
  43643. target_variable=None)),
  43644. ('new_levels1',
  43645. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43646. 'frequent',
  43647. targe...
  43648. gamma=0, gpu_id=0, importance_type=None,
  43649. interaction_constraints='', learning_rate=0.005,
  43650. max_delta_step=0, max_depth=128, max_leaves=1024,
  43651. min_child_weight=1, missing=nan,
  43652. monotone_constraints='()', n_estimators=100,
  43653. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43654. random_state=4505, reg_alpha=0, reg_lambda=1,
  43655. scale_pos_weight=1, subsample=1,
  43656. tree_method='gpu_hist', validate_parameters=1,
  43657. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43658. 2022-04-08 17:21:07,980:INFO:Checking exceptions
  43659. 2022-04-08 17:21:07,980:INFO:Preloading libraries
  43660. 2022-04-08 17:21:10,146:INFO:Initializing predict_model()
  43661. 2022-04-08 17:21:10,146:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  43662. DataTypes_Auto_infer(ml_usecase='classification',
  43663. target='label')),
  43664. ('imputer',
  43665. Simple_Imputer(categorical_strategy='not_available',
  43666. fill_value_categorical=None,
  43667. fill_value_numerical=None,
  43668. numeric_strategy='mean',
  43669. target_variable=None)),
  43670. ('new_levels1',
  43671. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  43672. 'frequent',
  43673. targe...
  43674. gamma=0, gpu_id=0, importance_type=None,
  43675. interaction_constraints='', learning_rate=0.005,
  43676. max_delta_step=0, max_depth=128, max_leaves=1024,
  43677. min_child_weight=1, missing=nan,
  43678. monotone_constraints='()', n_estimators=100,
  43679. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  43680. random_state=4505, reg_alpha=0, reg_lambda=1,
  43681. scale_pos_weight=1, subsample=1,
  43682. tree_method='gpu_hist', validate_parameters=1,
  43683. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  43684. 2022-04-08 17:21:10,146:INFO:Checking exceptions
  43685. 2022-04-08 17:21:10,146:INFO:Preloading libraries