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- 2022-01-17 12:58:15,351:INFO:PyCaret Supervised Module
- 2022-01-17 12:58:15,352:INFO:ML Usecase: classification
- 2022-01-17 12:58:15,352:INFO:version 2.3.6
- 2022-01-17 12:58:15,352:INFO:Initializing setup()
- 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)
- 2022-01-17 12:58:15,352:INFO:Checking environment
- 2022-01-17 12:58:15,353:INFO:python_version: 3.8.8
- 2022-01-17 12:58:15,353:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 12:58:15,353:INFO:machine: x86_64
- 2022-01-17 12:58:15,353:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 12:58:15,354:INFO:Physical Core: 16
- 2022-01-17 12:58:15,354:INFO:Logical Core: 32
- 2022-01-17 12:58:15,354:INFO:Checking libraries
- 2022-01-17 12:58:15,355:INFO:pd==1.2.4
- 2022-01-17 12:58:15,355:INFO:numpy==1.19.5
- 2022-01-17 12:58:15,355:INFO:sklearn==0.23.2
- 2022-01-17 12:58:15,355:INFO:lightgbm==3.3.2
- 2022-01-17 12:58:15,356:WARNING:catboost not found
- 2022-01-17 12:58:15,356:WARNING:xgboost not found
- 2022-01-17 12:58:15,477:INFO:mlflow==1.22.0
- 2022-01-17 12:58:15,477:INFO:Checking Exceptions
- 2022-01-17 12:58:15,478:INFO:Declaring global variables
- 2022-01-17 12:58:15,478:INFO:USI: c57c
- 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'}
- 2022-01-17 12:58:15,478:INFO:Preparing display monitor
- 2022-01-17 12:58:15,478:INFO:Preparing display monitor
- 2022-01-17 12:58:15,487:INFO:Importing libraries
- 2022-01-17 12:58:15,487:INFO:Copying data for preprocessing
- 2022-01-17 12:58:15,492:INFO:Declaring preprocessing parameters
- 2022-01-17 12:58:15,494:INFO:Creating preprocessing pipeline
- 2022-01-17 12:58:15,508:INFO:Preprocessing pipeline created successfully
- 2022-01-17 12:58:15,509:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 12:58:15,509:INFO:Creating global containers
- 2022-01-17 12:58:15,510:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 12:59:42,168:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 12:59:42,168:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 12:59:42,214:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 12:59:42,215:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 12:59:42,215:INFO:Creating grid variables
- 2022-01-17 12:59:42,226:INFO:create_model_container: 0
- 2022-01-17 12:59:42,226:INFO:master_model_container: 0
- 2022-01-17 12:59:42,226:INFO:display_container: 1
- 2022-01-17 12:59:42,229:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 12:59:42,229:INFO:setup() succesfully completed......................................
- 2022-01-17 13:01:00,918:INFO:PyCaret Supervised Module
- 2022-01-17 13:01:00,918:INFO:ML Usecase: classification
- 2022-01-17 13:01:00,919:INFO:version 2.3.6
- 2022-01-17 13:01:00,919:INFO:Initializing setup()
- 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)
- 2022-01-17 13:01:00,919:INFO:Checking environment
- 2022-01-17 13:01:00,919:INFO:python_version: 3.8.8
- 2022-01-17 13:01:00,920:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 13:01:00,920:INFO:machine: x86_64
- 2022-01-17 13:01:00,920:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 13:01:00,921:INFO:Physical Core: 16
- 2022-01-17 13:01:00,921:INFO:Logical Core: 32
- 2022-01-17 13:01:00,921:INFO:Checking libraries
- 2022-01-17 13:01:00,921:INFO:pd==1.2.4
- 2022-01-17 13:01:00,922:INFO:numpy==1.19.5
- 2022-01-17 13:01:00,922:INFO:sklearn==0.23.2
- 2022-01-17 13:01:00,922:INFO:lightgbm==3.3.2
- 2022-01-17 13:01:00,922:WARNING:catboost not found
- 2022-01-17 13:01:00,923:WARNING:xgboost not found
- 2022-01-17 13:01:00,923:INFO:mlflow==1.22.0
- 2022-01-17 13:01:00,923:INFO:Checking Exceptions
- 2022-01-17 13:01:00,923:INFO:Declaring global variables
- 2022-01-17 13:01:00,924:INFO:USI: 2fbd
- 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'}
- 2022-01-17 13:01:00,924:INFO:Preparing display monitor
- 2022-01-17 13:01:00,924:INFO:Preparing display monitor
- 2022-01-17 13:01:00,931:INFO:Importing libraries
- 2022-01-17 13:01:00,931:INFO:Copying data for preprocessing
- 2022-01-17 13:01:00,936:INFO:Declaring preprocessing parameters
- 2022-01-17 13:01:00,937:WARNING:cuML not found
- 2022-01-17 13:01:00,937:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 13:01:00,938:INFO:Creating preprocessing pipeline
- 2022-01-17 13:01:00,952:INFO:Preprocessing pipeline created successfully
- 2022-01-17 13:01:00,953:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 13:01:00,953:INFO:Creating global containers
- 2022-01-17 13:01:00,953:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 13:01:06,482:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 13:01:06,511:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 13:01:06,511:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 13:01:06,512:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 13:01:06,527:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 13:01:06,530:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 13:01:06,532:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 13:01:06,540:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 13:01:06,541:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 13:01:06,573:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 13:01:06,574:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 13:01:06,575:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 13:01:06,590:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 13:01:06,593:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 13:01:06,594:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 13:01:06,598:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 13:01:06,599:INFO:Creating grid variables
- 2022-01-17 13:01:06,609:INFO:create_model_container: 0
- 2022-01-17 13:01:06,609:INFO:master_model_container: 0
- 2022-01-17 13:01:06,610:INFO:display_container: 1
- 2022-01-17 13:01:06,613:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:01:06,613:INFO:setup() succesfully completed......................................
- 2022-01-17 13:02:34,311:INFO:Initializing compare_models()
- 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)
- 2022-01-17 13:02:34,311:INFO:Checking exceptions
- 2022-01-17 13:02:34,312:INFO:Preparing display monitor
- 2022-01-17 13:02:34,312:INFO:Preparing display monitor
- 2022-01-17 13:02:34,329:INFO:Initializing Logistic Regression
- 2022-01-17 13:02:34,329:INFO:Total runtime is 6.2783559163411456e-06 minutes
- 2022-01-17 13:02:34,334:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:34,335:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:34,335:INFO:Checking exceptions
- 2022-01-17 13:02:34,335:INFO:Importing libraries
- 2022-01-17 13:02:34,335:INFO:Copying training dataset
- 2022-01-17 13:02:34,336:INFO:Defining folds
- 2022-01-17 13:02:34,336:INFO:Declaring metric variables
- 2022-01-17 13:02:34,341:INFO:Importing untrained model
- 2022-01-17 13:02:34,346:INFO:Logistic Regression Imported succesfully
- 2022-01-17 13:02:34,356:INFO:Starting cross validation
- 2022-01-17 13:02:34,356:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:44,123:INFO:Calculating mean and std
- 2022-01-17 13:02:44,124:INFO:Creating metrics dataframe
- 2022-01-17 13:02:44,130:INFO:Uploading results into container
- 2022-01-17 13:02:44,130:INFO:Uploading model into container now
- 2022-01-17 13:02:44,131:INFO:create_model_container: 1
- 2022-01-17 13:02:44,131:INFO:master_model_container: 1
- 2022-01-17 13:02:44,132:INFO:display_container: 2
- 2022-01-17 13:02:44,132:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=2921, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 13:02:44,133:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:44,212:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:44,213:INFO:Creating metrics dataframe
- 2022-01-17 13:02:44,222:INFO:Initializing K Neighbors Classifier
- 2022-01-17 13:02:44,222:INFO:Total runtime is 0.16488877932230633 minutes
- 2022-01-17 13:02:44,228:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:44,228:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:44,228:INFO:Checking exceptions
- 2022-01-17 13:02:44,228:INFO:Importing libraries
- 2022-01-17 13:02:44,229:INFO:Copying training dataset
- 2022-01-17 13:02:44,229:INFO:Defining folds
- 2022-01-17 13:02:44,230:INFO:Declaring metric variables
- 2022-01-17 13:02:44,234:INFO:Importing untrained model
- 2022-01-17 13:02:44,239:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 13:02:44,249:INFO:Starting cross validation
- 2022-01-17 13:02:44,249:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:48,557:INFO:Calculating mean and std
- 2022-01-17 13:02:48,558:INFO:Creating metrics dataframe
- 2022-01-17 13:02:48,561:INFO:Uploading results into container
- 2022-01-17 13:02:48,561:INFO:Uploading model into container now
- 2022-01-17 13:02:48,561:INFO:create_model_container: 2
- 2022-01-17 13:02:48,561:INFO:master_model_container: 2
- 2022-01-17 13:02:48,562:INFO:display_container: 2
- 2022-01-17 13:02:48,562:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 13:02:48,562:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:48,650:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:48,650:INFO:Creating metrics dataframe
- 2022-01-17 13:02:48,661:INFO:Initializing Naive Bayes
- 2022-01-17 13:02:48,661:INFO:Total runtime is 0.23887631893157962 minutes
- 2022-01-17 13:02:48,667:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:48,667:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:48,668:INFO:Checking exceptions
- 2022-01-17 13:02:48,668:INFO:Importing libraries
- 2022-01-17 13:02:48,668:INFO:Copying training dataset
- 2022-01-17 13:02:48,669:INFO:Defining folds
- 2022-01-17 13:02:48,670:INFO:Declaring metric variables
- 2022-01-17 13:02:48,674:INFO:Importing untrained model
- 2022-01-17 13:02:48,679:INFO:Naive Bayes Imported succesfully
- 2022-01-17 13:02:48,691:INFO:Starting cross validation
- 2022-01-17 13:02:48,691:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:48,807:INFO:Calculating mean and std
- 2022-01-17 13:02:48,808:INFO:Creating metrics dataframe
- 2022-01-17 13:02:48,810:INFO:Uploading results into container
- 2022-01-17 13:02:48,811:INFO:Uploading model into container now
- 2022-01-17 13:02:48,811:INFO:create_model_container: 3
- 2022-01-17 13:02:48,811:INFO:master_model_container: 3
- 2022-01-17 13:02:48,811:INFO:display_container: 2
- 2022-01-17 13:02:48,811:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 13:02:48,812:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:48,877:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:48,878:INFO:Creating metrics dataframe
- 2022-01-17 13:02:48,888:INFO:Initializing Decision Tree Classifier
- 2022-01-17 13:02:48,888:INFO:Total runtime is 0.24265816609064741 minutes
- 2022-01-17 13:02:48,894:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:48,894:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:48,894:INFO:Checking exceptions
- 2022-01-17 13:02:48,894:INFO:Importing libraries
- 2022-01-17 13:02:48,894:INFO:Copying training dataset
- 2022-01-17 13:02:48,895:INFO:Defining folds
- 2022-01-17 13:02:48,895:INFO:Declaring metric variables
- 2022-01-17 13:02:48,900:INFO:Importing untrained model
- 2022-01-17 13:02:48,905:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 13:02:48,915:INFO:Starting cross validation
- 2022-01-17 13:02:48,915:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:49,163:INFO:Calculating mean and std
- 2022-01-17 13:02:49,164:INFO:Creating metrics dataframe
- 2022-01-17 13:02:49,167:INFO:Uploading results into container
- 2022-01-17 13:02:49,167:INFO:Uploading model into container now
- 2022-01-17 13:02:49,167:INFO:create_model_container: 4
- 2022-01-17 13:02:49,167:INFO:master_model_container: 4
- 2022-01-17 13:02:49,167:INFO:display_container: 2
- 2022-01-17 13:02:49,168:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:02:49,168:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:49,232:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:49,232:INFO:Creating metrics dataframe
- 2022-01-17 13:02:49,243:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 13:02:49,243:INFO:Total runtime is 0.24857445557912194 minutes
- 2022-01-17 13:02:49,248:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:49,249:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:49,249:INFO:Checking exceptions
- 2022-01-17 13:02:49,249:INFO:Importing libraries
- 2022-01-17 13:02:49,249:INFO:Copying training dataset
- 2022-01-17 13:02:49,250:INFO:Defining folds
- 2022-01-17 13:02:49,250:INFO:Declaring metric variables
- 2022-01-17 13:02:49,256:INFO:Importing untrained model
- 2022-01-17 13:02:49,261:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 13:02:49,271:INFO:Starting cross validation
- 2022-01-17 13:02:49,271:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:50,627:INFO:Calculating mean and std
- 2022-01-17 13:02:50,628:INFO:Creating metrics dataframe
- 2022-01-17 13:02:50,632:INFO:Uploading results into container
- 2022-01-17 13:02:50,633:INFO:Uploading model into container now
- 2022-01-17 13:02:50,633:INFO:create_model_container: 5
- 2022-01-17 13:02:50,633:INFO:master_model_container: 5
- 2022-01-17 13:02:50,634:INFO:display_container: 2
- 2022-01-17 13:02:50,634:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=2921, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 13:02:50,634:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:50,733:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:50,734:INFO:Creating metrics dataframe
- 2022-01-17 13:02:50,746:INFO:Initializing Ridge Classifier
- 2022-01-17 13:02:50,746:INFO:Total runtime is 0.2736153244972229 minutes
- 2022-01-17 13:02:50,751:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:50,751:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:50,752:INFO:Checking exceptions
- 2022-01-17 13:02:50,752:INFO:Importing libraries
- 2022-01-17 13:02:50,753:INFO:Copying training dataset
- 2022-01-17 13:02:50,753:INFO:Defining folds
- 2022-01-17 13:02:50,754:INFO:Declaring metric variables
- 2022-01-17 13:02:50,759:INFO:Importing untrained model
- 2022-01-17 13:02:50,765:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 13:02:50,776:INFO:Starting cross validation
- 2022-01-17 13:02:50,777:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:51,127:INFO:Calculating mean and std
- 2022-01-17 13:02:51,137:INFO:Creating metrics dataframe
- 2022-01-17 13:02:51,148:INFO:Uploading results into container
- 2022-01-17 13:02:51,148:INFO:Uploading model into container now
- 2022-01-17 13:02:51,149:INFO:create_model_container: 6
- 2022-01-17 13:02:51,149:INFO:master_model_container: 6
- 2022-01-17 13:02:51,149:INFO:display_container: 2
- 2022-01-17 13:02:51,149:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=2921,
- solver='auto', tol=0.001)
- 2022-01-17 13:02:51,150:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:51,247:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:51,248:INFO:Creating metrics dataframe
- 2022-01-17 13:02:51,259:INFO:Initializing Random Forest Classifier
- 2022-01-17 13:02:51,259:INFO:Total runtime is 0.2821757952372233 minutes
- 2022-01-17 13:02:51,265:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:51,265:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:51,266:INFO:Checking exceptions
- 2022-01-17 13:02:51,266:INFO:Importing libraries
- 2022-01-17 13:02:51,266:INFO:Copying training dataset
- 2022-01-17 13:02:51,267:INFO:Defining folds
- 2022-01-17 13:02:51,267:INFO:Declaring metric variables
- 2022-01-17 13:02:51,273:INFO:Importing untrained model
- 2022-01-17 13:02:51,278:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 13:02:51,288:INFO:Starting cross validation
- 2022-01-17 13:02:51,289:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:56,873:INFO:Calculating mean and std
- 2022-01-17 13:02:56,874:INFO:Creating metrics dataframe
- 2022-01-17 13:02:56,876:INFO:Uploading results into container
- 2022-01-17 13:02:56,877:INFO:Uploading model into container now
- 2022-01-17 13:02:56,877:INFO:create_model_container: 7
- 2022-01-17 13:02:56,877:INFO:master_model_container: 7
- 2022-01-17 13:02:56,877:INFO:display_container: 2
- 2022-01-17 13:02:56,877:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:02:56,878:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:56,950:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:56,950:INFO:Creating metrics dataframe
- 2022-01-17 13:02:56,962:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 13:02:56,962:INFO:Total runtime is 0.37721813917160035 minutes
- 2022-01-17 13:02:56,967:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:56,967:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:56,968:INFO:Checking exceptions
- 2022-01-17 13:02:56,968:INFO:Importing libraries
- 2022-01-17 13:02:56,968:INFO:Copying training dataset
- 2022-01-17 13:02:56,969:INFO:Defining folds
- 2022-01-17 13:02:56,969:INFO:Declaring metric variables
- 2022-01-17 13:02:56,974:INFO:Importing untrained model
- 2022-01-17 13:02:56,979:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 13:02:56,988:INFO:Starting cross validation
- 2022-01-17 13:02:56,989:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:57,284:INFO:Calculating mean and std
- 2022-01-17 13:02:57,289:INFO:Creating metrics dataframe
- 2022-01-17 13:02:57,294:INFO:Uploading results into container
- 2022-01-17 13:02:57,294:INFO:Uploading model into container now
- 2022-01-17 13:02:57,294:INFO:create_model_container: 8
- 2022-01-17 13:02:57,294:INFO:master_model_container: 8
- 2022-01-17 13:02:57,294:INFO:display_container: 2
- 2022-01-17 13:02:57,295:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 13:02:57,295:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:57,384:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:57,384:INFO:Creating metrics dataframe
- 2022-01-17 13:02:57,397:INFO:Initializing Ada Boost Classifier
- 2022-01-17 13:02:57,397:INFO:Total runtime is 0.3844650745391846 minutes
- 2022-01-17 13:02:57,402:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:57,402:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:57,403:INFO:Checking exceptions
- 2022-01-17 13:02:57,403:INFO:Importing libraries
- 2022-01-17 13:02:57,403:INFO:Copying training dataset
- 2022-01-17 13:02:57,404:INFO:Defining folds
- 2022-01-17 13:02:57,405:INFO:Declaring metric variables
- 2022-01-17 13:02:57,410:INFO:Importing untrained model
- 2022-01-17 13:02:57,414:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 13:02:57,425:INFO:Starting cross validation
- 2022-01-17 13:02:57,426:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:59,675:INFO:Calculating mean and std
- 2022-01-17 13:02:59,676:INFO:Creating metrics dataframe
- 2022-01-17 13:02:59,679:INFO:Uploading results into container
- 2022-01-17 13:02:59,679:INFO:Uploading model into container now
- 2022-01-17 13:02:59,679:INFO:create_model_container: 9
- 2022-01-17 13:02:59,679:INFO:master_model_container: 9
- 2022-01-17 13:02:59,679:INFO:display_container: 2
- 2022-01-17 13:02:59,679:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=2921)
- 2022-01-17 13:02:59,680:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:59,745:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:59,745:INFO:Creating metrics dataframe
- 2022-01-17 13:02:59,758:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 13:02:59,758:INFO:Total runtime is 0.4238206505775452 minutes
- 2022-01-17 13:02:59,763:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:59,764:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:59,764:INFO:Checking exceptions
- 2022-01-17 13:02:59,764:INFO:Importing libraries
- 2022-01-17 13:02:59,764:INFO:Copying training dataset
- 2022-01-17 13:02:59,765:INFO:Defining folds
- 2022-01-17 13:02:59,765:INFO:Declaring metric variables
- 2022-01-17 13:02:59,770:INFO:Importing untrained model
- 2022-01-17 13:02:59,776:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 13:02:59,786:INFO:Starting cross validation
- 2022-01-17 13:02:59,787:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:05,995:INFO:Calculating mean and std
- 2022-01-17 13:03:05,996:INFO:Creating metrics dataframe
- 2022-01-17 13:03:05,999:INFO:Uploading results into container
- 2022-01-17 13:03:05,999:INFO:Uploading model into container now
- 2022-01-17 13:03:05,999:INFO:create_model_container: 10
- 2022-01-17 13:03:05,999:INFO:master_model_container: 10
- 2022-01-17 13:03:05,999:INFO:display_container: 2
- 2022-01-17 13:03:06,000:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=2921, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 13:03:06,000:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:06,068:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:06,069:INFO:Creating metrics dataframe
- 2022-01-17 13:03:06,081:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 13:03:06,081:INFO:Total runtime is 0.5292097528775533 minutes
- 2022-01-17 13:03:06,086:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:03:06,087:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:03:06,087:INFO:Checking exceptions
- 2022-01-17 13:03:06,087:INFO:Importing libraries
- 2022-01-17 13:03:06,088:INFO:Copying training dataset
- 2022-01-17 13:03:06,088:INFO:Defining folds
- 2022-01-17 13:03:06,089:INFO:Declaring metric variables
- 2022-01-17 13:03:06,093:INFO:Importing untrained model
- 2022-01-17 13:03:06,098:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 13:03:06,108:INFO:Starting cross validation
- 2022-01-17 13:03:06,108:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:07,147:INFO:Calculating mean and std
- 2022-01-17 13:03:07,155:INFO:Creating metrics dataframe
- 2022-01-17 13:03:07,159:INFO:Uploading results into container
- 2022-01-17 13:03:07,164:INFO:Uploading model into container now
- 2022-01-17 13:03:07,164:INFO:create_model_container: 11
- 2022-01-17 13:03:07,164:INFO:master_model_container: 11
- 2022-01-17 13:03:07,164:INFO:display_container: 2
- 2022-01-17 13:03:07,164:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 13:03:07,165:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:07,259:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:07,259:INFO:Creating metrics dataframe
- 2022-01-17 13:03:07,271:INFO:Initializing Extra Trees Classifier
- 2022-01-17 13:03:07,272:INFO:Total runtime is 0.5490442395210267 minutes
- 2022-01-17 13:03:07,277:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:03:07,277:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:03:07,277:INFO:Checking exceptions
- 2022-01-17 13:03:07,278:INFO:Importing libraries
- 2022-01-17 13:03:07,278:INFO:Copying training dataset
- 2022-01-17 13:03:07,278:INFO:Defining folds
- 2022-01-17 13:03:07,279:INFO:Declaring metric variables
- 2022-01-17 13:03:07,283:INFO:Importing untrained model
- 2022-01-17 13:03:07,288:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:03:07,299:INFO:Starting cross validation
- 2022-01-17 13:03:07,300:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:12,992:INFO:Calculating mean and std
- 2022-01-17 13:03:12,993:INFO:Creating metrics dataframe
- 2022-01-17 13:03:12,995:INFO:Uploading results into container
- 2022-01-17 13:03:12,996:INFO:Uploading model into container now
- 2022-01-17 13:03:12,996:INFO:create_model_container: 12
- 2022-01-17 13:03:12,996:INFO:master_model_container: 12
- 2022-01-17 13:03:12,996:INFO:display_container: 2
- 2022-01-17 13:03:12,997:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:03:12,997:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:13,068:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:13,068:INFO:Creating metrics dataframe
- 2022-01-17 13:03:13,081:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 13:03:13,081:INFO:Total runtime is 0.6458649357159933 minutes
- 2022-01-17 13:03:13,086:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:03:13,086:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:03:13,087:INFO:Checking exceptions
- 2022-01-17 13:03:13,087:INFO:Importing libraries
- 2022-01-17 13:03:13,087:INFO:Copying training dataset
- 2022-01-17 13:03:13,088:INFO:Defining folds
- 2022-01-17 13:03:13,088:INFO:Declaring metric variables
- 2022-01-17 13:03:13,093:INFO:Importing untrained model
- 2022-01-17 13:03:13,098:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 13:03:13,108:INFO:Starting cross validation
- 2022-01-17 13:03:13,109:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:14,740:INFO:Calculating mean and std
- 2022-01-17 13:03:14,741:INFO:Creating metrics dataframe
- 2022-01-17 13:03:14,744:INFO:Uploading results into container
- 2022-01-17 13:03:14,744:INFO:Uploading model into container now
- 2022-01-17 13:03:14,744:INFO:create_model_container: 13
- 2022-01-17 13:03:14,744:INFO:master_model_container: 13
- 2022-01-17 13:03:14,744:INFO:display_container: 2
- 2022-01-17 13:03:14,745:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=2921, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 13:03:14,745:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:14,810:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:14,810:INFO:Creating metrics dataframe
- 2022-01-17 13:03:14,823:INFO:Initializing Dummy Classifier
- 2022-01-17 13:03:14,823:INFO:Total runtime is 0.6749085227648418 minutes
- 2022-01-17 13:03:14,829:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:03:14,829:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:03:14,829:INFO:Checking exceptions
- 2022-01-17 13:03:14,829:INFO:Importing libraries
- 2022-01-17 13:03:14,830:INFO:Copying training dataset
- 2022-01-17 13:03:14,830:INFO:Defining folds
- 2022-01-17 13:03:14,830:INFO:Declaring metric variables
- 2022-01-17 13:03:14,835:INFO:Importing untrained model
- 2022-01-17 13:03:14,840:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 13:03:14,852:INFO:Starting cross validation
- 2022-01-17 13:03:14,853:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:14,918:INFO:Calculating mean and std
- 2022-01-17 13:03:14,919:INFO:Creating metrics dataframe
- 2022-01-17 13:03:14,922:INFO:Uploading results into container
- 2022-01-17 13:03:14,923:INFO:Uploading model into container now
- 2022-01-17 13:03:14,923:INFO:create_model_container: 14
- 2022-01-17 13:03:14,923:INFO:master_model_container: 14
- 2022-01-17 13:03:14,923:INFO:display_container: 2
- 2022-01-17 13:03:14,924:INFO:DummyClassifier(constant=None, random_state=2921, strategy='prior')
- 2022-01-17 13:03:14,924:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:14,991:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:14,991:INFO:Creating metrics dataframe
- 2022-01-17 13:03:15,016:INFO:Initializing create_model()
- 2022-01-17 13:03:15,016:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-17 13:03:15,016:INFO:Checking exceptions
- 2022-01-17 13:03:15,016:INFO:Importing libraries
- 2022-01-17 13:03:15,017:INFO:Copying training dataset
- 2022-01-17 13:03:15,017:INFO:Defining folds
- 2022-01-17 13:03:15,017:INFO:Declaring metric variables
- 2022-01-17 13:03:15,017:INFO:Importing untrained model
- 2022-01-17 13:03:15,017:INFO:Declaring custom model
- 2022-01-17 13:03:15,018:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 13:03:15,018:INFO:Cross validation set to False
- 2022-01-17 13:03:15,018:INFO:Fitting Model
- 2022-01-17 13:03:15,040:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:03:15,040:INFO:create_models() succesfully completed......................................
- 2022-01-17 13:03:15,134:INFO:create_model_container: 14
- 2022-01-17 13:03:15,134:INFO:master_model_container: 14
- 2022-01-17 13:03:15,134:INFO:display_container: 2
- 2022-01-17 13:03:15,135:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:03:15,135:INFO:compare_models() succesfully completed......................................
- 2022-01-17 13:05:10,965:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:05:10,966:INFO:Checking exceptions
- 2022-01-17 13:05:10,966:INFO:Preparing display monitor
- 2022-01-17 13:05:10,978:INFO:Importing libraries
- 2022-01-17 13:05:10,978:INFO:Copying training dataset
- 2022-01-17 13:05:10,979:INFO:Defining folds
- 2022-01-17 13:05:10,979:INFO:Declaring metric variables
- 2022-01-17 13:05:10,984:INFO:Importing untrained model
- 2022-01-17 13:05:10,988:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 13:05:11,000:INFO:Starting cross validation
- 2022-01-17 13:05:11,001:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:05:11,257:INFO:Calculating mean and std
- 2022-01-17 13:05:11,258:INFO:Creating metrics dataframe
- 2022-01-17 13:05:11,265:INFO:Finalizing model
- 2022-01-17 13:05:11,287:INFO:Uploading results into container
- 2022-01-17 13:05:11,287:INFO:Uploading model into container now
- 2022-01-17 13:05:11,297:INFO:create_model_container: 15
- 2022-01-17 13:05:11,297:INFO:master_model_container: 15
- 2022-01-17 13:05:11,298:INFO:display_container: 3
- 2022-01-17 13:05:11,298:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:05:11,298:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:05:36,291:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:05:36,292:INFO:Checking exceptions
- 2022-01-17 13:05:36,292:INFO:Preparing display monitor
- 2022-01-17 13:05:36,303:INFO:Importing libraries
- 2022-01-17 13:05:36,303:INFO:Copying training dataset
- 2022-01-17 13:05:36,304:INFO:Defining folds
- 2022-01-17 13:05:36,304:INFO:Declaring metric variables
- 2022-01-17 13:05:36,308:INFO:Importing untrained model
- 2022-01-17 13:05:36,314:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:05:36,324:INFO:Starting cross validation
- 2022-01-17 13:05:36,324:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:05:42,037:INFO:Calculating mean and std
- 2022-01-17 13:05:42,038:INFO:Creating metrics dataframe
- 2022-01-17 13:05:42,045:INFO:Finalizing model
- 2022-01-17 13:05:42,284:INFO:Uploading results into container
- 2022-01-17 13:05:42,284:INFO:Uploading model into container now
- 2022-01-17 13:05:42,295:INFO:create_model_container: 16
- 2022-01-17 13:05:42,295:INFO:master_model_container: 16
- 2022-01-17 13:05:42,295:INFO:display_container: 4
- 2022-01-17 13:05:42,296:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:05:42,296:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:06:11,498:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:06:11,499:INFO:Checking exceptions
- 2022-01-17 13:06:56,085:INFO:Initializing tune_model()
- 2022-01-17 13:06:56,085:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-17 13:06:56,085:INFO:Checking exceptions
- 2022-01-17 13:06:56,086:INFO:Preparing display monitor
- 2022-01-17 13:06:56,097:INFO:Copying training dataset
- 2022-01-17 13:06:56,098:INFO:Checking base model
- 2022-01-17 13:06:56,098:INFO:Base model : Decision Tree Classifier
- 2022-01-17 13:06:56,103:INFO:Declaring metric variables
- 2022-01-17 13:06:56,108:INFO:Defining Hyperparameters
- 2022-01-17 13:06:56,183:INFO:Tuning with n_jobs=-1
- 2022-01-17 13:06:56,183:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-17 13:06:57,390:INFO:Hyperparameter search completed
- 2022-01-17 13:06:57,390:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:06:57,391:INFO:Initializing create_model()
- 2022-01-17 13:06:57,391:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-17 13:06:57,391:INFO:Checking exceptions
- 2022-01-17 13:06:57,391:INFO:Importing libraries
- 2022-01-17 13:06:57,391:INFO:Copying training dataset
- 2022-01-17 13:06:57,392:INFO:Defining folds
- 2022-01-17 13:06:57,392:INFO:Declaring metric variables
- 2022-01-17 13:06:57,398:INFO:Importing untrained model
- 2022-01-17 13:06:57,398:INFO:Declaring custom model
- 2022-01-17 13:06:57,403:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 13:06:57,414:INFO:Starting cross validation
- 2022-01-17 13:06:57,415:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:06:57,648:INFO:Calculating mean and std
- 2022-01-17 13:06:57,649:INFO:Creating metrics dataframe
- 2022-01-17 13:06:57,656:INFO:Finalizing model
- 2022-01-17 13:06:57,674:INFO:Uploading results into container
- 2022-01-17 13:06:57,674:INFO:Uploading model into container now
- 2022-01-17 13:06:57,674:INFO:create_model_container: 17
- 2022-01-17 13:06:57,674:INFO:master_model_container: 17
- 2022-01-17 13:06:57,674:INFO:display_container: 5
- 2022-01-17 13:06:57,675:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:06:57,675:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:06:57,746:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:06:57,756:INFO:create_model_container: 17
- 2022-01-17 13:06:57,756:INFO:master_model_container: 17
- 2022-01-17 13:06:57,756:INFO:display_container: 5
- 2022-01-17 13:06:57,757:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:06:57,757:INFO:tune_model() succesfully completed......................................
- 2022-01-17 13:07:50,221:INFO:Initializing plot_model()
- 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',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 13:07:50,222:INFO:Checking exceptions
- 2022-01-17 13:07:50,222:INFO:Preparing display monitor
- 2022-01-17 13:07:50,226:INFO:Preloading libraries
- 2022-01-17 13:07:50,227:INFO:Copying training dataset
- 2022-01-17 13:07:50,228:INFO:Copying test dataset
- 2022-01-17 13:07:50,228:INFO:Plot type: auc
- 2022-01-17 13:07:50,229:INFO:Initializing get_config()
- 2022-01-17 13:07:50,229:INFO:get_config(variable=prep_pipe)
- 2022-01-17 13:07:50,232:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:07:50,232:INFO:get_config() succesfully completed......................................
- 2022-01-17 13:07:50,233:INFO:Fitting Model
- 2022-01-17 13:07:50,234:INFO:Scoring test/hold-out set
- 2022-01-17 13:07:50,365:INFO:Visual Rendered Successfully
- 2022-01-17 13:07:50,439:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:08:07,287:INFO:Initializing plot_model()
- 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',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 13:08:07,288:INFO:Checking exceptions
- 2022-01-17 13:08:14,531:INFO:Initializing plot_model()
- 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',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 13:08:14,532:INFO:Checking exceptions
- 2022-01-17 13:08:14,533:INFO:Preparing display monitor
- 2022-01-17 13:08:14,537:INFO:Preloading libraries
- 2022-01-17 13:08:14,538:INFO:Copying training dataset
- 2022-01-17 13:08:14,538:INFO:Copying test dataset
- 2022-01-17 13:08:14,539:INFO:Plot type: pr
- 2022-01-17 13:08:14,540:INFO:Fitting Model
- 2022-01-17 13:08:14,541:INFO:Scoring test/hold-out set
- 2022-01-17 13:08:14,627:INFO:Visual Rendered Successfully
- 2022-01-17 13:08:14,702:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:08:40,735:INFO:Initializing plot_model()
- 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',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 13:08:40,736:INFO:Checking exceptions
- 2022-01-17 13:08:40,737:INFO:Preparing display monitor
- 2022-01-17 13:08:40,741:INFO:Preloading libraries
- 2022-01-17 13:08:40,742:INFO:Copying training dataset
- 2022-01-17 13:08:40,742:INFO:Copying test dataset
- 2022-01-17 13:08:40,743:INFO:Plot type: feature
- 2022-01-17 13:08:40,744:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 13:08:40,820:INFO:Visual Rendered Successfully
- 2022-01-17 13:08:40,899:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:23:17,701:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:23:17,701:INFO:Checking exceptions
- 2022-01-17 13:23:17,702:INFO:Preparing display monitor
- 2022-01-17 13:23:17,712:INFO:Importing libraries
- 2022-01-17 13:23:17,712:INFO:Copying training dataset
- 2022-01-17 13:23:17,713:INFO:Defining folds
- 2022-01-17 13:23:17,713:INFO:Declaring metric variables
- 2022-01-17 13:23:17,717:INFO:Importing untrained model
- 2022-01-17 13:23:17,722:INFO:Naive Bayes Imported succesfully
- 2022-01-17 13:23:17,731:INFO:Starting cross validation
- 2022-01-17 13:23:17,731:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:23:17,844:INFO:Calculating mean and std
- 2022-01-17 13:23:17,845:INFO:Creating metrics dataframe
- 2022-01-17 13:23:17,851:INFO:Finalizing model
- 2022-01-17 13:23:17,855:INFO:Uploading results into container
- 2022-01-17 13:23:17,855:INFO:Uploading model into container now
- 2022-01-17 13:23:17,864:INFO:create_model_container: 18
- 2022-01-17 13:23:17,865:INFO:master_model_container: 18
- 2022-01-17 13:23:17,865:INFO:display_container: 6
- 2022-01-17 13:23:17,865:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 13:23:17,865:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:23:31,722:INFO:Initializing tune_model()
- 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={})
- 2022-01-17 13:23:31,723:INFO:Checking exceptions
- 2022-01-17 13:23:31,724:INFO:Preparing display monitor
- 2022-01-17 13:23:31,735:INFO:Copying training dataset
- 2022-01-17 13:23:31,736:INFO:Checking base model
- 2022-01-17 13:23:31,736:INFO:Base model : Naive Bayes
- 2022-01-17 13:23:31,741:INFO:Declaring metric variables
- 2022-01-17 13:23:31,745:INFO:Defining Hyperparameters
- 2022-01-17 13:23:31,820:INFO:Tuning with n_jobs=-1
- 2022-01-17 13:23:31,820:INFO:Initializing RandomizedSearchCV
- 2022-01-17 13:23:34,136:INFO:best_params: {'actual_estimator__var_smoothing': 0.01}
- 2022-01-17 13:23:34,137:INFO:Hyperparameter search completed
- 2022-01-17 13:23:34,137:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:23:34,138:INFO:Initializing create_model()
- 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})
- 2022-01-17 13:23:34,138:INFO:Checking exceptions
- 2022-01-17 13:23:34,139:INFO:Importing libraries
- 2022-01-17 13:23:34,139:INFO:Copying training dataset
- 2022-01-17 13:23:34,140:INFO:Defining folds
- 2022-01-17 13:23:34,140:INFO:Declaring metric variables
- 2022-01-17 13:23:34,145:INFO:Importing untrained model
- 2022-01-17 13:23:34,146:INFO:Declaring custom model
- 2022-01-17 13:23:34,150:INFO:Naive Bayes Imported succesfully
- 2022-01-17 13:23:34,160:INFO:Starting cross validation
- 2022-01-17 13:23:34,160:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:23:34,272:INFO:Calculating mean and std
- 2022-01-17 13:23:34,273:INFO:Creating metrics dataframe
- 2022-01-17 13:23:34,280:INFO:Finalizing model
- 2022-01-17 13:23:34,284:INFO:Uploading results into container
- 2022-01-17 13:23:34,285:INFO:Uploading model into container now
- 2022-01-17 13:23:34,285:INFO:create_model_container: 19
- 2022-01-17 13:23:34,285:INFO:master_model_container: 19
- 2022-01-17 13:23:34,285:INFO:display_container: 7
- 2022-01-17 13:23:34,285:INFO:GaussianNB(priors=None, var_smoothing=0.01)
- 2022-01-17 13:23:34,286:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:23:34,364:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:23:34,373:INFO:create_model_container: 19
- 2022-01-17 13:23:34,374:INFO:master_model_container: 19
- 2022-01-17 13:23:34,374:INFO:display_container: 7
- 2022-01-17 13:23:34,374:INFO:GaussianNB(priors=None, var_smoothing=0.01)
- 2022-01-17 13:23:34,374:INFO:tune_model() succesfully completed......................................
- 2022-01-17 13:23:47,434:INFO:Initializing plot_model()
- 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)
- 2022-01-17 13:23:47,435:INFO:Checking exceptions
- 2022-01-17 13:23:47,436:INFO:Preparing display monitor
- 2022-01-17 13:23:47,440:INFO:Preloading libraries
- 2022-01-17 13:23:47,441:INFO:Copying training dataset
- 2022-01-17 13:23:47,443:INFO:Copying test dataset
- 2022-01-17 13:23:47,444:INFO:Plot type: pr
- 2022-01-17 13:23:47,445:INFO:Fitting Model
- 2022-01-17 13:23:47,446:INFO:Scoring test/hold-out set
- 2022-01-17 13:23:47,568:INFO:Visual Rendered Successfully
- 2022-01-17 13:23:47,644:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:23:51,601:INFO:Initializing plot_model()
- 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)
- 2022-01-17 13:23:51,601:INFO:Checking exceptions
- 2022-01-17 13:23:56,530:INFO:Initializing plot_model()
- 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)
- 2022-01-17 13:23:56,531:INFO:Checking exceptions
- 2022-01-17 13:24:20,450:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:24:20,451:INFO:Checking exceptions
- 2022-01-17 13:24:20,451:INFO:Preparing display monitor
- 2022-01-17 13:24:20,462:INFO:Importing libraries
- 2022-01-17 13:24:20,462:INFO:Copying training dataset
- 2022-01-17 13:24:20,463:INFO:Defining folds
- 2022-01-17 13:24:20,463:INFO:Declaring metric variables
- 2022-01-17 13:24:20,468:INFO:Importing untrained model
- 2022-01-17 13:24:20,473:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:24:20,483:INFO:Starting cross validation
- 2022-01-17 13:24:20,484:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:24:26,180:INFO:Calculating mean and std
- 2022-01-17 13:24:26,181:INFO:Creating metrics dataframe
- 2022-01-17 13:24:26,188:INFO:Finalizing model
- 2022-01-17 13:24:26,427:INFO:Uploading results into container
- 2022-01-17 13:24:26,428:INFO:Uploading model into container now
- 2022-01-17 13:24:26,438:INFO:create_model_container: 20
- 2022-01-17 13:24:26,438:INFO:master_model_container: 20
- 2022-01-17 13:24:26,439:INFO:display_container: 8
- 2022-01-17 13:24:26,439:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:24:26,439:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:24:29,968:INFO:Initializing tune_model()
- 2022-01-17 13:24:29,968:INFO:tune_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- 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={})
- 2022-01-17 13:24:29,969:INFO:Checking exceptions
- 2022-01-17 13:24:29,970:INFO:Preparing display monitor
- 2022-01-17 13:24:29,980:INFO:Copying training dataset
- 2022-01-17 13:24:29,981:INFO:Checking base model
- 2022-01-17 13:24:29,981:INFO:Base model : Extra Trees Classifier
- 2022-01-17 13:24:29,987:INFO:Declaring metric variables
- 2022-01-17 13:24:29,991:INFO:Defining Hyperparameters
- 2022-01-17 13:24:30,077:INFO:Tuning with n_jobs=-1
- 2022-01-17 13:24:30,077:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-17 13:24:34,731:INFO:Hyperparameter search completed
- 2022-01-17 13:24:34,731:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:24:34,731:INFO:Initializing create_model()
- 2022-01-17 13:24:34,732:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, 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 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})
- 2022-01-17 13:24:34,732:INFO:Checking exceptions
- 2022-01-17 13:24:34,732:INFO:Importing libraries
- 2022-01-17 13:24:34,732:INFO:Copying training dataset
- 2022-01-17 13:24:34,733:INFO:Defining folds
- 2022-01-17 13:24:34,733:INFO:Declaring metric variables
- 2022-01-17 13:24:34,738:INFO:Importing untrained model
- 2022-01-17 13:24:34,738:INFO:Declaring custom model
- 2022-01-17 13:24:34,743:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:24:34,753:INFO:Starting cross validation
- 2022-01-17 13:24:34,753:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:24:37,798:INFO:Calculating mean and std
- 2022-01-17 13:24:37,798:INFO:Creating metrics dataframe
- 2022-01-17 13:24:37,805:INFO:Finalizing model
- 2022-01-17 13:24:37,916:INFO:Uploading results into container
- 2022-01-17 13:24:37,917:INFO:Uploading model into container now
- 2022-01-17 13:24:37,917:INFO:create_model_container: 21
- 2022-01-17 13:24:37,917:INFO:master_model_container: 21
- 2022-01-17 13:24:37,917:INFO:display_container: 9
- 2022-01-17 13:24:37,918:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:24:37,918:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:24:37,986:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:24:37,996:INFO:create_model_container: 21
- 2022-01-17 13:24:37,997:INFO:master_model_container: 21
- 2022-01-17 13:24:37,997:INFO:display_container: 9
- 2022-01-17 13:24:37,997:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:24:37,997:INFO:tune_model() succesfully completed......................................
- 2022-01-17 13:24:40,770:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=pr, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:24:40,771:INFO:Checking exceptions
- 2022-01-17 13:24:40,779:INFO:Preparing display monitor
- 2022-01-17 13:24:40,784:INFO:Preloading libraries
- 2022-01-17 13:24:40,790:INFO:Copying training dataset
- 2022-01-17 13:24:40,791:INFO:Copying test dataset
- 2022-01-17 13:24:40,792:INFO:Plot type: pr
- 2022-01-17 13:24:40,806:INFO:Fitting Model
- 2022-01-17 13:24:40,808:INFO:Scoring test/hold-out set
- 2022-01-17 13:24:40,927:INFO:Visual Rendered Successfully
- 2022-01-17 13:24:41,004:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:24:44,796:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:24:44,796:INFO:Checking exceptions
- 2022-01-17 13:24:44,804:INFO:Preparing display monitor
- 2022-01-17 13:24:44,808:INFO:Preloading libraries
- 2022-01-17 13:24:44,815:INFO:Copying training dataset
- 2022-01-17 13:24:44,815:INFO:Copying test dataset
- 2022-01-17 13:24:44,816:INFO:Plot type: feature
- 2022-01-17 13:24:44,830:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 13:24:44,919:INFO:Visual Rendered Successfully
- 2022-01-17 13:24:44,994:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:46:48,121:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:46:48,122:INFO:Checking exceptions
- 2022-01-17 13:46:48,122:INFO:Preparing display monitor
- 2022-01-17 13:46:48,133:INFO:Importing libraries
- 2022-01-17 13:46:48,134:INFO:Copying training dataset
- 2022-01-17 13:46:48,134:INFO:Defining folds
- 2022-01-17 13:46:48,135:INFO:Declaring metric variables
- 2022-01-17 13:46:48,139:INFO:Importing untrained model
- 2022-01-17 13:46:48,144:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:46:48,154:INFO:Starting cross validation
- 2022-01-17 13:46:48,154:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:46:54,751:INFO:Calculating mean and std
- 2022-01-17 13:46:54,752:INFO:Creating metrics dataframe
- 2022-01-17 13:46:54,760:INFO:Finalizing model
- 2022-01-17 13:46:55,004:INFO:Uploading results into container
- 2022-01-17 13:46:55,005:INFO:Uploading model into container now
- 2022-01-17 13:46:55,016:INFO:create_model_container: 22
- 2022-01-17 13:46:55,016:INFO:master_model_container: 22
- 2022-01-17 13:46:55,016:INFO:display_container: 10
- 2022-01-17 13:46:55,017:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:46:55,017:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:47:12,691:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:47:12,691:INFO:Checking exceptions
- 2022-01-17 13:47:12,692:INFO:Preparing display monitor
- 2022-01-17 13:47:12,702:INFO:Importing libraries
- 2022-01-17 13:47:12,702:INFO:Copying training dataset
- 2022-01-17 13:47:12,703:INFO:Defining folds
- 2022-01-17 13:47:12,704:INFO:Declaring metric variables
- 2022-01-17 13:47:12,708:INFO:Importing untrained model
- 2022-01-17 13:47:12,713:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:47:12,723:INFO:Starting cross validation
- 2022-01-17 13:47:12,723:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:47:18,421:INFO:Calculating mean and std
- 2022-01-17 13:47:18,422:INFO:Creating metrics dataframe
- 2022-01-17 13:47:18,430:INFO:Finalizing model
- 2022-01-17 13:47:18,672:INFO:Uploading results into container
- 2022-01-17 13:47:18,673:INFO:Uploading model into container now
- 2022-01-17 13:47:18,683:INFO:create_model_container: 23
- 2022-01-17 13:47:18,684:INFO:master_model_container: 23
- 2022-01-17 13:47:18,684:INFO:display_container: 11
- 2022-01-17 13:47:18,684:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:47:18,684:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:48:54,838:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:48:54,838:INFO:Checking exceptions
- 2022-01-17 13:48:54,845:INFO:Preparing display monitor
- 2022-01-17 13:48:54,850:INFO:Preloading libraries
- 2022-01-17 13:48:54,856:INFO:Copying training dataset
- 2022-01-17 13:48:54,857:INFO:Copying test dataset
- 2022-01-17 13:48:54,858:INFO:Plot type: auc
- 2022-01-17 13:48:54,874:INFO:Initializing get_config()
- 2022-01-17 13:48:54,874:INFO:get_config(variable=prep_pipe)
- 2022-01-17 13:48:54,877:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:48:54,877:INFO:get_config() succesfully completed......................................
- 2022-01-17 13:48:54,878:INFO:Fitting Model
- 2022-01-17 13:48:54,879:INFO:Scoring test/hold-out set
- 2022-01-17 13:48:55,012:INFO:Visual Rendered Successfully
- 2022-01-17 13:48:55,087:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:59:28,170:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:59:28,171:INFO:Checking exceptions
- 2022-01-17 13:59:28,178:INFO:Preparing display monitor
- 2022-01-17 13:59:28,184:INFO:Preloading libraries
- 2022-01-17 13:59:28,188:INFO:Copying training dataset
- 2022-01-17 13:59:28,189:INFO:Copying test dataset
- 2022-01-17 13:59:28,189:INFO:Plot type: auc
- 2022-01-17 13:59:28,204:INFO:Initializing get_config()
- 2022-01-17 13:59:28,204:INFO:get_config(variable=prep_pipe)
- 2022-01-17 13:59:28,207:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:59:28,207:INFO:get_config() succesfully completed......................................
- 2022-01-17 13:59:28,207:INFO:Fitting Model
- 2022-01-17 13:59:28,209:INFO:Scoring test/hold-out set
- 2022-01-17 13:59:28,339:INFO:Visual Rendered Successfully
- 2022-01-17 13:59:28,412:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:59:32,803:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:59:32,804:INFO:Checking exceptions
- 2022-01-17 13:59:32,812:INFO:Preparing display monitor
- 2022-01-17 13:59:32,816:INFO:Preloading libraries
- 2022-01-17 13:59:32,822:INFO:Copying training dataset
- 2022-01-17 13:59:32,823:INFO:Copying test dataset
- 2022-01-17 13:59:32,823:INFO:Plot type: auc
- 2022-01-17 13:59:32,838:INFO:Initializing get_config()
- 2022-01-17 13:59:32,838:INFO:get_config(variable=prep_pipe)
- 2022-01-17 13:59:32,840:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:59:32,841:INFO:get_config() succesfully completed......................................
- 2022-01-17 13:59:32,841:INFO:Fitting Model
- 2022-01-17 13:59:32,843:INFO:Scoring test/hold-out set
- 2022-01-17 13:59:32,974:INFO:Visual Rendered Successfully
- 2022-01-17 13:59:33,048:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:00:28,156:INFO:Initializing evaluate_model()
- 2022-01-17 14:00:28,156:INFO:evaluate_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 14:00:28,175:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:00:28,176:INFO:Checking exceptions
- 2022-01-17 14:00:28,183:INFO:Preparing display monitor
- 2022-01-17 14:00:28,188:INFO:Preloading libraries
- 2022-01-17 14:00:28,194:INFO:Copying training dataset
- 2022-01-17 14:00:28,194:INFO:Copying test dataset
- 2022-01-17 14:00:28,195:INFO:Plot type: parameter
- 2022-01-17 14:00:28,212:INFO:Visual Rendered Successfully
- 2022-01-17 14:00:28,289:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:00:36,182:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:00:36,183:INFO:Checking exceptions
- 2022-01-17 14:00:36,190:INFO:Preparing display monitor
- 2022-01-17 14:00:36,195:INFO:Preloading libraries
- 2022-01-17 14:00:36,199:INFO:Copying training dataset
- 2022-01-17 14:00:36,200:INFO:Copying test dataset
- 2022-01-17 14:00:36,200:INFO:Plot type: auc
- 2022-01-17 14:00:36,215:INFO:Initializing get_config()
- 2022-01-17 14:00:36,215:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:00:36,218:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:00:36,218:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:00:36,219:INFO:Fitting Model
- 2022-01-17 14:00:36,220:INFO:Scoring test/hold-out set
- 2022-01-17 14:00:36,351:INFO:Visual Rendered Successfully
- 2022-01-17 14:00:36,423:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:00:38,272:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:00:38,273:INFO:Checking exceptions
- 2022-01-17 14:00:38,281:INFO:Preparing display monitor
- 2022-01-17 14:00:38,286:INFO:Preloading libraries
- 2022-01-17 14:00:38,289:INFO:Copying training dataset
- 2022-01-17 14:00:38,290:INFO:Copying test dataset
- 2022-01-17 14:00:38,290:INFO:Plot type: confusion_matrix
- 2022-01-17 14:00:38,305:INFO:Initializing get_config()
- 2022-01-17 14:00:38,305:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:00:38,308:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:00:38,308:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:00:38,309:INFO:Fitting Model
- 2022-01-17 14:00:38,310:INFO:Scoring test/hold-out set
- 2022-01-17 14:00:38,440:INFO:Visual Rendered Successfully
- 2022-01-17 14:00:38,514:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:00:43,883:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:00:43,884:INFO:Checking exceptions
- 2022-01-17 14:00:43,892:INFO:Preparing display monitor
- 2022-01-17 14:00:43,897:INFO:Preloading libraries
- 2022-01-17 14:00:43,904:INFO:Copying training dataset
- 2022-01-17 14:00:43,904:INFO:Copying test dataset
- 2022-01-17 14:00:43,905:INFO:Plot type: threshold
- 2022-01-17 14:00:43,920:INFO:Fitting Model
- 2022-01-17 14:00:50,535:INFO:Scoring test/hold-out set
- 2022-01-17 14:00:50,795:INFO:Visual Rendered Successfully
- 2022-01-17 14:00:50,867:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:01:11,484:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:01:11,485:INFO:Checking exceptions
- 2022-01-17 14:01:11,493:INFO:Preparing display monitor
- 2022-01-17 14:01:11,498:INFO:Preloading libraries
- 2022-01-17 14:01:11,504:INFO:Copying training dataset
- 2022-01-17 14:01:11,504:INFO:Copying test dataset
- 2022-01-17 14:01:11,505:INFO:Plot type: pr
- 2022-01-17 14:01:11,519:INFO:Fitting Model
- 2022-01-17 14:01:11,521:INFO:Scoring test/hold-out set
- 2022-01-17 14:01:11,634:INFO:Visual Rendered Successfully
- 2022-01-17 14:01:11,707:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:01:16,622:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:01:16,622:INFO:Checking exceptions
- 2022-01-17 14:01:16,630:INFO:Preparing display monitor
- 2022-01-17 14:01:16,635:INFO:Preloading libraries
- 2022-01-17 14:01:16,641:INFO:Copying training dataset
- 2022-01-17 14:01:16,642:INFO:Copying test dataset
- 2022-01-17 14:01:16,642:INFO:Plot type: error
- 2022-01-17 14:01:16,657:INFO:Initializing get_config()
- 2022-01-17 14:01:16,657:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:01:16,661:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:01:16,661:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:01:16,662:INFO:Fitting Model
- 2022-01-17 14:01:16,663:INFO:Scoring test/hold-out set
- 2022-01-17 14:01:16,780:INFO:Visual Rendered Successfully
- 2022-01-17 14:01:16,854:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:01:29,238:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:01:29,239:INFO:Checking exceptions
- 2022-01-17 14:01:29,247:INFO:Preparing display monitor
- 2022-01-17 14:01:29,252:INFO:Preloading libraries
- 2022-01-17 14:01:29,256:INFO:Copying training dataset
- 2022-01-17 14:01:29,257:INFO:Copying test dataset
- 2022-01-17 14:01:29,257:INFO:Plot type: class_report
- 2022-01-17 14:01:29,272:INFO:Initializing get_config()
- 2022-01-17 14:01:29,272:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:01:29,275:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:01:29,275:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:01:29,276:INFO:Fitting Model
- 2022-01-17 14:01:29,277:INFO:Scoring test/hold-out set
- 2022-01-17 14:01:29,423:INFO:Visual Rendered Successfully
- 2022-01-17 14:01:29,503:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:01:54,753:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:01:54,754:INFO:Checking exceptions
- 2022-01-17 14:01:54,761:INFO:Preparing display monitor
- 2022-01-17 14:01:54,766:INFO:Preloading libraries
- 2022-01-17 14:01:54,772:INFO:Copying training dataset
- 2022-01-17 14:01:54,772:INFO:Copying test dataset
- 2022-01-17 14:01:54,773:INFO:Plot type: rfe
- 2022-01-17 14:01:54,791:INFO:Fitting Model
- 2022-01-17 14:04:24,292:INFO:PyCaret Supervised Module
- 2022-01-17 14:04:24,293:INFO:ML Usecase: classification
- 2022-01-17 14:04:24,293:INFO:version 2.3.6
- 2022-01-17 14:04:24,293:INFO:Initializing setup()
- 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)
- 2022-01-17 14:04:24,294:INFO:Checking environment
- 2022-01-17 14:04:24,294:INFO:python_version: 3.8.8
- 2022-01-17 14:04:24,294:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 14:04:24,294:INFO:machine: x86_64
- 2022-01-17 14:04:24,294:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 14:04:24,295:INFO:Physical Core: 16
- 2022-01-17 14:04:24,296:INFO:Logical Core: 32
- 2022-01-17 14:04:24,296:INFO:Checking libraries
- 2022-01-17 14:04:24,296:INFO:pd==1.2.4
- 2022-01-17 14:04:24,296:INFO:numpy==1.19.5
- 2022-01-17 14:04:24,296:INFO:sklearn==0.23.2
- 2022-01-17 14:04:24,296:INFO:lightgbm==3.3.2
- 2022-01-17 14:04:24,297:WARNING:catboost not found
- 2022-01-17 14:04:24,297:WARNING:xgboost not found
- 2022-01-17 14:04:24,422:INFO:mlflow==1.22.0
- 2022-01-17 14:04:24,422:INFO:Checking Exceptions
- 2022-01-17 14:04:24,423:INFO:Declaring global variables
- 2022-01-17 14:04:24,423:INFO:USI: 1037
- 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'}
- 2022-01-17 14:04:24,423:INFO:Preparing display monitor
- 2022-01-17 14:04:24,423:INFO:Preparing display monitor
- 2022-01-17 14:04:24,433:INFO:Importing libraries
- 2022-01-17 14:04:24,433:INFO:Copying data for preprocessing
- 2022-01-17 14:04:24,438:INFO:Declaring preprocessing parameters
- 2022-01-17 14:04:24,439:WARNING:cuML not found
- 2022-01-17 14:04:24,439:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 14:04:24,441:INFO:Creating preprocessing pipeline
- 2022-01-17 14:04:24,457:INFO:Preprocessing pipeline created successfully
- 2022-01-17 14:04:24,457:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 14:04:24,457:INFO:Creating global containers
- 2022-01-17 14:04:24,458:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 14:04:40,146:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 14:04:40,173:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 14:04:40,175:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 14:04:40,176:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 14:04:40,191:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 14:04:40,194:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 14:04:40,197:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 14:04:40,202:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 14:04:40,203:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 14:04:40,233:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 14:04:40,233:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 14:04:40,234:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 14:04:40,249:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 14:04:40,252:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 14:04:40,253:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 14:04:40,258:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 14:04:40,258:INFO:Creating grid variables
- 2022-01-17 14:04:40,269:INFO:create_model_container: 0
- 2022-01-17 14:04:40,269:INFO:master_model_container: 0
- 2022-01-17 14:04:40,270:INFO:display_container: 1
- 2022-01-17 14:04:40,272:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:04:40,273:INFO:setup() succesfully completed......................................
- 2022-01-17 14:04:47,159:INFO:Initializing compare_models()
- 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)
- 2022-01-17 14:04:47,160:INFO:Checking exceptions
- 2022-01-17 14:04:47,161:INFO:Preparing display monitor
- 2022-01-17 14:04:47,161:INFO:Preparing display monitor
- 2022-01-17 14:04:47,177:INFO:Initializing Logistic Regression
- 2022-01-17 14:04:47,177:INFO:Total runtime is 4.955132802327474e-06 minutes
- 2022-01-17 14:04:47,183:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:47,183:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:47,183:INFO:Checking exceptions
- 2022-01-17 14:04:47,183:INFO:Importing libraries
- 2022-01-17 14:04:47,184:INFO:Copying training dataset
- 2022-01-17 14:04:47,184:INFO:Defining folds
- 2022-01-17 14:04:47,185:INFO:Declaring metric variables
- 2022-01-17 14:04:47,190:INFO:Importing untrained model
- 2022-01-17 14:04:47,195:INFO:Logistic Regression Imported succesfully
- 2022-01-17 14:04:47,204:INFO:Starting cross validation
- 2022-01-17 14:04:47,205:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:49,125:INFO:Calculating mean and std
- 2022-01-17 14:04:49,126:INFO:Creating metrics dataframe
- 2022-01-17 14:04:49,132:INFO:Uploading results into container
- 2022-01-17 14:04:49,133:INFO:Uploading model into container now
- 2022-01-17 14:04:49,133:INFO:create_model_container: 1
- 2022-01-17 14:04:49,133:INFO:master_model_container: 1
- 2022-01-17 14:04:49,133:INFO:display_container: 2
- 2022-01-17 14:04:49,134:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=7446, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 14:04:49,134:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:49,224:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:49,224:INFO:Creating metrics dataframe
- 2022-01-17 14:04:49,235:INFO:Initializing K Neighbors Classifier
- 2022-01-17 14:04:49,235:INFO:Total runtime is 0.03429919481277466 minutes
- 2022-01-17 14:04:49,241:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:49,241:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:49,242:INFO:Checking exceptions
- 2022-01-17 14:04:49,242:INFO:Importing libraries
- 2022-01-17 14:04:49,242:INFO:Copying training dataset
- 2022-01-17 14:04:49,243:INFO:Defining folds
- 2022-01-17 14:04:49,243:INFO:Declaring metric variables
- 2022-01-17 14:04:49,249:INFO:Importing untrained model
- 2022-01-17 14:04:49,254:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 14:04:49,266:INFO:Starting cross validation
- 2022-01-17 14:04:49,267:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:54,831:INFO:Calculating mean and std
- 2022-01-17 14:04:54,832:INFO:Creating metrics dataframe
- 2022-01-17 14:04:54,835:INFO:Uploading results into container
- 2022-01-17 14:04:54,835:INFO:Uploading model into container now
- 2022-01-17 14:04:54,836:INFO:create_model_container: 2
- 2022-01-17 14:04:54,836:INFO:master_model_container: 2
- 2022-01-17 14:04:54,836:INFO:display_container: 2
- 2022-01-17 14:04:54,836:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 14:04:54,836:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:54,908:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:54,908:INFO:Creating metrics dataframe
- 2022-01-17 14:04:54,919:INFO:Initializing Naive Bayes
- 2022-01-17 14:04:54,919:INFO:Total runtime is 0.12903836170832317 minutes
- 2022-01-17 14:04:54,925:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:54,925:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:54,925:INFO:Checking exceptions
- 2022-01-17 14:04:54,926:INFO:Importing libraries
- 2022-01-17 14:04:54,926:INFO:Copying training dataset
- 2022-01-17 14:04:54,927:INFO:Defining folds
- 2022-01-17 14:04:54,927:INFO:Declaring metric variables
- 2022-01-17 14:04:54,932:INFO:Importing untrained model
- 2022-01-17 14:04:54,937:INFO:Naive Bayes Imported succesfully
- 2022-01-17 14:04:54,948:INFO:Starting cross validation
- 2022-01-17 14:04:54,949:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:55,055:INFO:Calculating mean and std
- 2022-01-17 14:04:55,056:INFO:Creating metrics dataframe
- 2022-01-17 14:04:55,059:INFO:Uploading results into container
- 2022-01-17 14:04:55,059:INFO:Uploading model into container now
- 2022-01-17 14:04:55,059:INFO:create_model_container: 3
- 2022-01-17 14:04:55,059:INFO:master_model_container: 3
- 2022-01-17 14:04:55,060:INFO:display_container: 2
- 2022-01-17 14:04:55,060:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 14:04:55,060:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:55,126:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:55,126:INFO:Creating metrics dataframe
- 2022-01-17 14:04:55,137:INFO:Initializing Decision Tree Classifier
- 2022-01-17 14:04:55,138:INFO:Total runtime is 0.13267539739608766 minutes
- 2022-01-17 14:04:55,143:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:55,143:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:55,144:INFO:Checking exceptions
- 2022-01-17 14:04:55,144:INFO:Importing libraries
- 2022-01-17 14:04:55,144:INFO:Copying training dataset
- 2022-01-17 14:04:55,145:INFO:Defining folds
- 2022-01-17 14:04:55,145:INFO:Declaring metric variables
- 2022-01-17 14:04:55,150:INFO:Importing untrained model
- 2022-01-17 14:04:55,154:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:04:55,165:INFO:Starting cross validation
- 2022-01-17 14:04:55,165:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:55,407:INFO:Calculating mean and std
- 2022-01-17 14:04:55,408:INFO:Creating metrics dataframe
- 2022-01-17 14:04:55,411:INFO:Uploading results into container
- 2022-01-17 14:04:55,411:INFO:Uploading model into container now
- 2022-01-17 14:04:55,412:INFO:create_model_container: 4
- 2022-01-17 14:04:55,412:INFO:master_model_container: 4
- 2022-01-17 14:04:55,412:INFO:display_container: 2
- 2022-01-17 14:04:55,412:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7446, splitter='best')
- 2022-01-17 14:04:55,412:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:55,474:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:55,475:INFO:Creating metrics dataframe
- 2022-01-17 14:04:55,486:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 14:04:55,486:INFO:Total runtime is 0.13847911755243938 minutes
- 2022-01-17 14:04:55,491:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:55,491:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:55,492:INFO:Checking exceptions
- 2022-01-17 14:04:55,492:INFO:Importing libraries
- 2022-01-17 14:04:55,492:INFO:Copying training dataset
- 2022-01-17 14:04:55,493:INFO:Defining folds
- 2022-01-17 14:04:55,493:INFO:Declaring metric variables
- 2022-01-17 14:04:55,498:INFO:Importing untrained model
- 2022-01-17 14:04:55,502:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 14:04:55,512:INFO:Starting cross validation
- 2022-01-17 14:04:55,513:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:56,098:INFO:Calculating mean and std
- 2022-01-17 14:04:56,099:INFO:Creating metrics dataframe
- 2022-01-17 14:04:56,104:INFO:Uploading results into container
- 2022-01-17 14:04:56,105:INFO:Uploading model into container now
- 2022-01-17 14:04:56,105:INFO:create_model_container: 5
- 2022-01-17 14:04:56,105:INFO:master_model_container: 5
- 2022-01-17 14:04:56,105:INFO:display_container: 2
- 2022-01-17 14:04:56,106:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=7446, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 14:04:56,106:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:56,191:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:56,191:INFO:Creating metrics dataframe
- 2022-01-17 14:04:56,202:INFO:Initializing Ridge Classifier
- 2022-01-17 14:04:56,202:INFO:Total runtime is 0.15042424599329632 minutes
- 2022-01-17 14:04:56,208:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:56,208:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:56,208:INFO:Checking exceptions
- 2022-01-17 14:04:56,209:INFO:Importing libraries
- 2022-01-17 14:04:56,209:INFO:Copying training dataset
- 2022-01-17 14:04:56,209:INFO:Defining folds
- 2022-01-17 14:04:56,210:INFO:Declaring metric variables
- 2022-01-17 14:04:56,214:INFO:Importing untrained model
- 2022-01-17 14:04:56,219:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 14:04:56,230:INFO:Starting cross validation
- 2022-01-17 14:04:56,231:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:56,600:INFO:Calculating mean and std
- 2022-01-17 14:04:56,607:INFO:Creating metrics dataframe
- 2022-01-17 14:04:56,612:INFO:Uploading results into container
- 2022-01-17 14:04:56,617:INFO:Uploading model into container now
- 2022-01-17 14:04:56,618:INFO:create_model_container: 6
- 2022-01-17 14:04:56,618:INFO:master_model_container: 6
- 2022-01-17 14:04:56,618:INFO:display_container: 2
- 2022-01-17 14:04:56,618:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=7446,
- solver='auto', tol=0.001)
- 2022-01-17 14:04:56,619:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:56,710:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:56,710:INFO:Creating metrics dataframe
- 2022-01-17 14:04:56,722:INFO:Initializing Random Forest Classifier
- 2022-01-17 14:04:56,722:INFO:Total runtime is 0.1590816895167033 minutes
- 2022-01-17 14:04:56,727:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:56,727:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:56,728:INFO:Checking exceptions
- 2022-01-17 14:04:56,728:INFO:Importing libraries
- 2022-01-17 14:04:56,728:INFO:Copying training dataset
- 2022-01-17 14:04:56,729:INFO:Defining folds
- 2022-01-17 14:04:56,729:INFO:Declaring metric variables
- 2022-01-17 14:04:56,734:INFO:Importing untrained model
- 2022-01-17 14:04:56,738:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:04:56,749:INFO:Starting cross validation
- 2022-01-17 14:04:56,749:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:02,377:INFO:Calculating mean and std
- 2022-01-17 14:05:02,378:INFO:Creating metrics dataframe
- 2022-01-17 14:05:02,381:INFO:Uploading results into container
- 2022-01-17 14:05:02,381:INFO:Uploading model into container now
- 2022-01-17 14:05:02,381:INFO:create_model_container: 7
- 2022-01-17 14:05:02,381:INFO:master_model_container: 7
- 2022-01-17 14:05:02,381:INFO:display_container: 2
- 2022-01-17 14:05:02,382:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:02,382:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:02,454:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:02,455:INFO:Creating metrics dataframe
- 2022-01-17 14:05:02,467:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 14:05:02,467:INFO:Total runtime is 0.2548285245895386 minutes
- 2022-01-17 14:05:02,472:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:02,472:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:02,473:INFO:Checking exceptions
- 2022-01-17 14:05:02,473:INFO:Importing libraries
- 2022-01-17 14:05:02,473:INFO:Copying training dataset
- 2022-01-17 14:05:02,474:INFO:Defining folds
- 2022-01-17 14:05:02,474:INFO:Declaring metric variables
- 2022-01-17 14:05:02,478:INFO:Importing untrained model
- 2022-01-17 14:05:02,483:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 14:05:02,493:INFO:Starting cross validation
- 2022-01-17 14:05:02,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:02,821:INFO:Calculating mean and std
- 2022-01-17 14:05:02,822:INFO:Creating metrics dataframe
- 2022-01-17 14:05:02,828:INFO:Uploading results into container
- 2022-01-17 14:05:02,829:INFO:Uploading model into container now
- 2022-01-17 14:05:02,829:INFO:create_model_container: 8
- 2022-01-17 14:05:02,830:INFO:master_model_container: 8
- 2022-01-17 14:05:02,830:INFO:display_container: 2
- 2022-01-17 14:05:02,830:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 14:05:02,830:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:02,910:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:02,910:INFO:Creating metrics dataframe
- 2022-01-17 14:05:02,922:INFO:Initializing Ada Boost Classifier
- 2022-01-17 14:05:02,922:INFO:Total runtime is 0.2624213774998983 minutes
- 2022-01-17 14:05:02,928:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:02,928:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:02,928:INFO:Checking exceptions
- 2022-01-17 14:05:02,929:INFO:Importing libraries
- 2022-01-17 14:05:02,929:INFO:Copying training dataset
- 2022-01-17 14:05:02,930:INFO:Defining folds
- 2022-01-17 14:05:02,930:INFO:Declaring metric variables
- 2022-01-17 14:05:02,935:INFO:Importing untrained model
- 2022-01-17 14:05:02,939:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 14:05:02,950:INFO:Starting cross validation
- 2022-01-17 14:05:02,950:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:05,184:INFO:Calculating mean and std
- 2022-01-17 14:05:05,185:INFO:Creating metrics dataframe
- 2022-01-17 14:05:05,187:INFO:Uploading results into container
- 2022-01-17 14:05:05,187:INFO:Uploading model into container now
- 2022-01-17 14:05:05,187:INFO:create_model_container: 9
- 2022-01-17 14:05:05,187:INFO:master_model_container: 9
- 2022-01-17 14:05:05,188:INFO:display_container: 2
- 2022-01-17 14:05:05,188:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=7446)
- 2022-01-17 14:05:05,188:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:05,253:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:05,253:INFO:Creating metrics dataframe
- 2022-01-17 14:05:05,265:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 14:05:05,265:INFO:Total runtime is 0.3014698584874471 minutes
- 2022-01-17 14:05:05,270:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:05,271:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:05,271:INFO:Checking exceptions
- 2022-01-17 14:05:05,271:INFO:Importing libraries
- 2022-01-17 14:05:05,271:INFO:Copying training dataset
- 2022-01-17 14:05:05,272:INFO:Defining folds
- 2022-01-17 14:05:05,272:INFO:Declaring metric variables
- 2022-01-17 14:05:05,277:INFO:Importing untrained model
- 2022-01-17 14:05:05,281:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 14:05:05,291:INFO:Starting cross validation
- 2022-01-17 14:05:05,292:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:11,522:INFO:Calculating mean and std
- 2022-01-17 14:05:11,523:INFO:Creating metrics dataframe
- 2022-01-17 14:05:11,525:INFO:Uploading results into container
- 2022-01-17 14:05:11,526:INFO:Uploading model into container now
- 2022-01-17 14:05:11,526:INFO:create_model_container: 10
- 2022-01-17 14:05:11,526:INFO:master_model_container: 10
- 2022-01-17 14:05:11,526:INFO:display_container: 2
- 2022-01-17 14:05:11,527:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7446, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:11,527:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:11,591:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:11,591:INFO:Creating metrics dataframe
- 2022-01-17 14:05:11,604:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 14:05:11,604:INFO:Total runtime is 0.40711584091186526 minutes
- 2022-01-17 14:05:11,609:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:11,610:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:11,610:INFO:Checking exceptions
- 2022-01-17 14:05:11,610:INFO:Importing libraries
- 2022-01-17 14:05:11,611:INFO:Copying training dataset
- 2022-01-17 14:05:11,612:INFO:Defining folds
- 2022-01-17 14:05:11,612:INFO:Declaring metric variables
- 2022-01-17 14:05:11,617:INFO:Importing untrained model
- 2022-01-17 14:05:11,621:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 14:05:11,632:INFO:Starting cross validation
- 2022-01-17 14:05:11,632:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:12,677:INFO:Calculating mean and std
- 2022-01-17 14:05:12,685:INFO:Creating metrics dataframe
- 2022-01-17 14:05:12,692:INFO:Uploading results into container
- 2022-01-17 14:05:12,694:INFO:Uploading model into container now
- 2022-01-17 14:05:12,696:INFO:create_model_container: 11
- 2022-01-17 14:05:12,696:INFO:master_model_container: 11
- 2022-01-17 14:05:12,696:INFO:display_container: 2
- 2022-01-17 14:05:12,697:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 14:05:12,697:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:12,787:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:12,788:INFO:Creating metrics dataframe
- 2022-01-17 14:05:12,801:INFO:Initializing Extra Trees Classifier
- 2022-01-17 14:05:12,801:INFO:Total runtime is 0.42706976731618246 minutes
- 2022-01-17 14:05:12,807:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:12,807:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:12,807:INFO:Checking exceptions
- 2022-01-17 14:05:12,807:INFO:Importing libraries
- 2022-01-17 14:05:12,808:INFO:Copying training dataset
- 2022-01-17 14:05:12,808:INFO:Defining folds
- 2022-01-17 14:05:12,808:INFO:Declaring metric variables
- 2022-01-17 14:05:12,813:INFO:Importing untrained model
- 2022-01-17 14:05:12,818:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 14:05:12,827:INFO:Starting cross validation
- 2022-01-17 14:05:12,828:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:18,501:INFO:Calculating mean and std
- 2022-01-17 14:05:18,501:INFO:Creating metrics dataframe
- 2022-01-17 14:05:18,504:INFO:Uploading results into container
- 2022-01-17 14:05:18,504:INFO:Uploading model into container now
- 2022-01-17 14:05:18,504:INFO:create_model_container: 12
- 2022-01-17 14:05:18,505:INFO:master_model_container: 12
- 2022-01-17 14:05:18,505:INFO:display_container: 2
- 2022-01-17 14:05:18,505:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:18,505:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:18,575:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:18,575:INFO:Creating metrics dataframe
- 2022-01-17 14:05:18,588:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 14:05:18,589:INFO:Total runtime is 0.5235265612602233 minutes
- 2022-01-17 14:05:18,594:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:18,594:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:18,595:INFO:Checking exceptions
- 2022-01-17 14:05:18,595:INFO:Importing libraries
- 2022-01-17 14:05:18,595:INFO:Copying training dataset
- 2022-01-17 14:05:18,596:INFO:Defining folds
- 2022-01-17 14:05:18,596:INFO:Declaring metric variables
- 2022-01-17 14:05:18,601:INFO:Importing untrained model
- 2022-01-17 14:05:18,605:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 14:05:18,615:INFO:Starting cross validation
- 2022-01-17 14:05:18,616:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:20,236:INFO:Calculating mean and std
- 2022-01-17 14:05:20,237:INFO:Creating metrics dataframe
- 2022-01-17 14:05:20,239:INFO:Uploading results into container
- 2022-01-17 14:05:20,240:INFO:Uploading model into container now
- 2022-01-17 14:05:20,240:INFO:create_model_container: 13
- 2022-01-17 14:05:20,240:INFO:master_model_container: 13
- 2022-01-17 14:05:20,240:INFO:display_container: 2
- 2022-01-17 14:05:20,241:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7446, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 14:05:20,241:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:20,307:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:20,307:INFO:Creating metrics dataframe
- 2022-01-17 14:05:20,320:INFO:Initializing Dummy Classifier
- 2022-01-17 14:05:20,321:INFO:Total runtime is 0.5523936629295348 minutes
- 2022-01-17 14:05:20,326:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:20,327:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:20,327:INFO:Checking exceptions
- 2022-01-17 14:05:20,327:INFO:Importing libraries
- 2022-01-17 14:05:20,327:INFO:Copying training dataset
- 2022-01-17 14:05:20,328:INFO:Defining folds
- 2022-01-17 14:05:20,328:INFO:Declaring metric variables
- 2022-01-17 14:05:20,333:INFO:Importing untrained model
- 2022-01-17 14:05:20,338:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 14:05:20,348:INFO:Starting cross validation
- 2022-01-17 14:05:20,348:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:20,410:INFO:Calculating mean and std
- 2022-01-17 14:05:20,411:INFO:Creating metrics dataframe
- 2022-01-17 14:05:20,414:INFO:Uploading results into container
- 2022-01-17 14:05:20,414:INFO:Uploading model into container now
- 2022-01-17 14:05:20,414:INFO:create_model_container: 14
- 2022-01-17 14:05:20,414:INFO:master_model_container: 14
- 2022-01-17 14:05:20,415:INFO:display_container: 2
- 2022-01-17 14:05:20,415:INFO:DummyClassifier(constant=None, random_state=7446, strategy='prior')
- 2022-01-17 14:05:20,415:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:20,480:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:20,480:INFO:Creating metrics dataframe
- 2022-01-17 14:05:20,506:INFO:Initializing create_model()
- 2022-01-17 14:05:20,507:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- 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={})
- 2022-01-17 14:05:20,507:INFO:Checking exceptions
- 2022-01-17 14:05:20,507:INFO:Importing libraries
- 2022-01-17 14:05:20,507:INFO:Copying training dataset
- 2022-01-17 14:05:20,508:INFO:Defining folds
- 2022-01-17 14:05:20,508:INFO:Declaring metric variables
- 2022-01-17 14:05:20,508:INFO:Importing untrained model
- 2022-01-17 14:05:20,508:INFO:Declaring custom model
- 2022-01-17 14:05:20,509:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:05:20,509:INFO:Cross validation set to False
- 2022-01-17 14:05:20,509:INFO:Fitting Model
- 2022-01-17 14:05:20,787:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:20,787:INFO:create_models() succesfully completed......................................
- 2022-01-17 14:05:20,887:INFO:create_model_container: 14
- 2022-01-17 14:05:20,888:INFO:master_model_container: 14
- 2022-01-17 14:05:20,888:INFO:display_container: 2
- 2022-01-17 14:05:20,888:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:20,888:INFO:compare_models() succesfully completed......................................
- 2022-01-17 14:06:31,806:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:06:31,806:INFO:Checking exceptions
- 2022-01-17 14:06:31,806:INFO:Preparing display monitor
- 2022-01-17 14:06:31,817:INFO:Importing libraries
- 2022-01-17 14:06:31,817:INFO:Copying training dataset
- 2022-01-17 14:06:31,818:INFO:Defining folds
- 2022-01-17 14:06:31,818:INFO:Declaring metric variables
- 2022-01-17 14:06:31,823:INFO:Importing untrained model
- 2022-01-17 14:06:31,828:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:06:31,838:INFO:Starting cross validation
- 2022-01-17 14:06:31,838:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:06:37,443:INFO:Calculating mean and std
- 2022-01-17 14:06:37,444:INFO:Creating metrics dataframe
- 2022-01-17 14:06:37,451:INFO:Finalizing model
- 2022-01-17 14:06:37,727:INFO:Uploading results into container
- 2022-01-17 14:06:37,728:INFO:Uploading model into container now
- 2022-01-17 14:06:37,738:INFO:create_model_container: 15
- 2022-01-17 14:06:37,738:INFO:master_model_container: 15
- 2022-01-17 14:06:37,738:INFO:display_container: 3
- 2022-01-17 14:06:37,739:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:06:37,739:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:07:03,806:INFO:Initializing tune_model()
- 2022-01-17 14:07:03,806:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- 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={})
- 2022-01-17 14:07:03,806:INFO:Checking exceptions
- 2022-01-17 14:07:03,807:INFO:Preparing display monitor
- 2022-01-17 14:07:03,817:INFO:Copying training dataset
- 2022-01-17 14:07:03,818:INFO:Checking base model
- 2022-01-17 14:07:03,819:INFO:Base model : Random Forest Classifier
- 2022-01-17 14:07:03,823:INFO:Declaring metric variables
- 2022-01-17 14:07:03,828:INFO:Defining Hyperparameters
- 2022-01-17 14:07:03,903:INFO:Tuning with n_jobs=-1
- 2022-01-17 14:07:03,903:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-17 14:07:09,322:INFO:Hyperparameter search completed
- 2022-01-17 14:07:09,322:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:07:09,323:INFO:Initializing create_model()
- 2022-01-17 14:07:09,323:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, 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 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})
- 2022-01-17 14:07:09,323:INFO:Checking exceptions
- 2022-01-17 14:07:09,323:INFO:Importing libraries
- 2022-01-17 14:07:09,323:INFO:Copying training dataset
- 2022-01-17 14:07:09,324:INFO:Defining folds
- 2022-01-17 14:07:09,324:INFO:Declaring metric variables
- 2022-01-17 14:07:09,330:INFO:Importing untrained model
- 2022-01-17 14:07:09,330:INFO:Declaring custom model
- 2022-01-17 14:07:09,335:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:07:09,344:INFO:Starting cross validation
- 2022-01-17 14:07:09,345:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:07:13,115:INFO:Calculating mean and std
- 2022-01-17 14:07:13,116:INFO:Creating metrics dataframe
- 2022-01-17 14:07:13,123:INFO:Finalizing model
- 2022-01-17 14:07:13,260:INFO:Uploading results into container
- 2022-01-17 14:07:13,261:INFO:Uploading model into container now
- 2022-01-17 14:07:13,261:INFO:create_model_container: 16
- 2022-01-17 14:07:13,261:INFO:master_model_container: 16
- 2022-01-17 14:07:13,261:INFO:display_container: 4
- 2022-01-17 14:07:13,262:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:07:13,262:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:07:13,329:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:07:13,339:INFO:create_model_container: 16
- 2022-01-17 14:07:13,339:INFO:master_model_container: 16
- 2022-01-17 14:07:13,340:INFO:display_container: 4
- 2022-01-17 14:07:13,340:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:07:13,340:INFO:tune_model() succesfully completed......................................
- 2022-01-17 14:07:22,106:INFO:Initializing evaluate_model()
- 2022-01-17 14:07:22,106:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 14:07:22,117:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:22,118:INFO:Checking exceptions
- 2022-01-17 14:07:22,127:INFO:Preparing display monitor
- 2022-01-17 14:07:22,132:INFO:Preloading libraries
- 2022-01-17 14:07:22,139:INFO:Copying training dataset
- 2022-01-17 14:07:22,140:INFO:Copying test dataset
- 2022-01-17 14:07:22,140:INFO:Plot type: parameter
- 2022-01-17 14:07:22,161:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:22,235:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:07:24,656:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:24,657:INFO:Checking exceptions
- 2022-01-17 14:07:24,666:INFO:Preparing display monitor
- 2022-01-17 14:07:24,671:INFO:Preloading libraries
- 2022-01-17 14:07:24,679:INFO:Copying training dataset
- 2022-01-17 14:07:24,679:INFO:Copying test dataset
- 2022-01-17 14:07:24,679:INFO:Plot type: auc
- 2022-01-17 14:07:24,696:INFO:Initializing get_config()
- 2022-01-17 14:07:24,696:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:07:24,699:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:07:24,699:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:07:24,700:INFO:Fitting Model
- 2022-01-17 14:07:24,701:INFO:Scoring test/hold-out set
- 2022-01-17 14:07:24,849:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:24,920:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:07:29,582:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:29,583:INFO:Checking exceptions
- 2022-01-17 14:07:29,591:INFO:Preparing display monitor
- 2022-01-17 14:07:29,596:INFO:Preloading libraries
- 2022-01-17 14:07:29,602:INFO:Copying training dataset
- 2022-01-17 14:07:29,602:INFO:Copying test dataset
- 2022-01-17 14:07:29,603:INFO:Plot type: threshold
- 2022-01-17 14:07:29,619:INFO:Fitting Model
- 2022-01-17 14:07:37,342:INFO:Scoring test/hold-out set
- 2022-01-17 14:07:37,610:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:37,687:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:07:41,486:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:41,487:INFO:Checking exceptions
- 2022-01-17 14:07:41,496:INFO:Preparing display monitor
- 2022-01-17 14:07:41,501:INFO:Preloading libraries
- 2022-01-17 14:07:41,509:INFO:Copying training dataset
- 2022-01-17 14:07:41,510:INFO:Copying test dataset
- 2022-01-17 14:07:41,510:INFO:Plot type: pr
- 2022-01-17 14:07:41,527:INFO:Fitting Model
- 2022-01-17 14:07:41,528:INFO:Scoring test/hold-out set
- 2022-01-17 14:07:41,672:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:41,741:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:07:45,037:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:45,038:INFO:Checking exceptions
- 2022-01-17 14:07:45,047:INFO:Preparing display monitor
- 2022-01-17 14:07:45,052:INFO:Preloading libraries
- 2022-01-17 14:07:45,060:INFO:Copying training dataset
- 2022-01-17 14:07:45,060:INFO:Copying test dataset
- 2022-01-17 14:07:45,061:INFO:Plot type: error
- 2022-01-17 14:07:45,077:INFO:Initializing get_config()
- 2022-01-17 14:07:45,077:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:07:45,080:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:07:45,081:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:07:45,081:INFO:Fitting Model
- 2022-01-17 14:07:45,082:INFO:Scoring test/hold-out set
- 2022-01-17 14:07:45,213:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:45,291:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:08:04,305:INFO:Initializing tune_model()
- 2022-01-17 14:08:04,306:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- 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={})
- 2022-01-17 14:08:04,306:INFO:Checking exceptions
- 2022-01-17 14:08:04,307:INFO:Preparing display monitor
- 2022-01-17 14:08:04,318:INFO:Copying training dataset
- 2022-01-17 14:08:04,319:INFO:Checking base model
- 2022-01-17 14:08:04,319:INFO:Base model : Random Forest Classifier
- 2022-01-17 14:08:04,325:INFO:Declaring metric variables
- 2022-01-17 14:08:04,329:INFO:Defining Hyperparameters
- 2022-01-17 14:08:04,410:INFO:Tuning with n_jobs=-1
- 2022-01-17 14:08:04,410:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-17 14:08:08,771:INFO:Hyperparameter search completed
- 2022-01-17 14:08:08,771:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:08:08,772:INFO:Initializing create_model()
- 2022-01-17 14:08:08,772:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, 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 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})
- 2022-01-17 14:08:08,772:INFO:Checking exceptions
- 2022-01-17 14:08:08,772:INFO:Importing libraries
- 2022-01-17 14:08:08,772:INFO:Copying training dataset
- 2022-01-17 14:08:08,773:INFO:Defining folds
- 2022-01-17 14:08:08,774:INFO:Declaring metric variables
- 2022-01-17 14:08:08,781:INFO:Importing untrained model
- 2022-01-17 14:08:08,781:INFO:Declaring custom model
- 2022-01-17 14:08:08,788:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:08:08,801:INFO:Starting cross validation
- 2022-01-17 14:08:08,802:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:08:12,590:INFO:Calculating mean and std
- 2022-01-17 14:08:12,590:INFO:Creating metrics dataframe
- 2022-01-17 14:08:12,597:INFO:Finalizing model
- 2022-01-17 14:08:12,739:INFO:Uploading results into container
- 2022-01-17 14:08:12,739:INFO:Uploading model into container now
- 2022-01-17 14:08:12,739:INFO:create_model_container: 17
- 2022-01-17 14:08:12,739:INFO:master_model_container: 17
- 2022-01-17 14:08:12,740:INFO:display_container: 5
- 2022-01-17 14:08:12,740:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:08:12,740:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:08:12,809:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:08:12,819:INFO:create_model_container: 17
- 2022-01-17 14:08:12,819:INFO:master_model_container: 17
- 2022-01-17 14:08:12,819:INFO:display_container: 5
- 2022-01-17 14:08:12,820:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:08:12,820:INFO:tune_model() succesfully completed......................................
- 2022-01-17 14:08:19,986:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:08:19,987:INFO:Checking exceptions
- 2022-01-17 14:08:19,987:INFO:Preparing display monitor
- 2022-01-17 14:08:19,998:INFO:Importing libraries
- 2022-01-17 14:08:19,999:INFO:Copying training dataset
- 2022-01-17 14:08:19,999:INFO:Defining folds
- 2022-01-17 14:08:20,000:INFO:Declaring metric variables
- 2022-01-17 14:08:20,005:INFO:Importing untrained model
- 2022-01-17 14:08:20,009:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:08:20,020:INFO:Starting cross validation
- 2022-01-17 14:08:20,021:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:08:25,648:INFO:Calculating mean and std
- 2022-01-17 14:08:25,649:INFO:Creating metrics dataframe
- 2022-01-17 14:08:25,656:INFO:Finalizing model
- 2022-01-17 14:08:25,929:INFO:Uploading results into container
- 2022-01-17 14:08:25,929:INFO:Uploading model into container now
- 2022-01-17 14:08:25,939:INFO:create_model_container: 18
- 2022-01-17 14:08:25,940:INFO:master_model_container: 18
- 2022-01-17 14:08:25,940:INFO:display_container: 6
- 2022-01-17 14:08:25,940:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:08:25,940:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:08:30,894:INFO:Initializing evaluate_model()
- 2022-01-17 14:08:30,895:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 14:08:30,905:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:08:30,905:INFO:Checking exceptions
- 2022-01-17 14:08:30,919:INFO:Preparing display monitor
- 2022-01-17 14:08:30,924:INFO:Preloading libraries
- 2022-01-17 14:08:30,931:INFO:Copying training dataset
- 2022-01-17 14:08:30,932:INFO:Copying test dataset
- 2022-01-17 14:08:30,933:INFO:Plot type: parameter
- 2022-01-17 14:08:30,964:INFO:Visual Rendered Successfully
- 2022-01-17 14:08:31,041:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:08:33,412:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:08:33,413:INFO:Checking exceptions
- 2022-01-17 14:08:33,427:INFO:Preparing display monitor
- 2022-01-17 14:08:33,432:INFO:Preloading libraries
- 2022-01-17 14:08:33,438:INFO:Copying training dataset
- 2022-01-17 14:08:33,438:INFO:Copying test dataset
- 2022-01-17 14:08:33,439:INFO:Plot type: auc
- 2022-01-17 14:08:33,466:INFO:Initializing get_config()
- 2022-01-17 14:08:33,466:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:08:33,469:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:08:33,469:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:08:33,470:INFO:Fitting Model
- 2022-01-17 14:08:33,471:INFO:Scoring test/hold-out set
- 2022-01-17 14:08:33,631:INFO:Visual Rendered Successfully
- 2022-01-17 14:08:33,705:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:08:36,846:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:08:36,847:INFO:Checking exceptions
- 2022-01-17 14:08:36,860:INFO:Preparing display monitor
- 2022-01-17 14:08:36,865:INFO:Preloading libraries
- 2022-01-17 14:08:36,872:INFO:Copying training dataset
- 2022-01-17 14:08:36,872:INFO:Copying test dataset
- 2022-01-17 14:08:36,873:INFO:Plot type: feature
- 2022-01-17 14:08:36,898:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:08:36,994:INFO:Visual Rendered Successfully
- 2022-01-17 14:08:37,080:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:08:47,377:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:08:47,377:INFO:Checking exceptions
- 2022-01-17 14:08:47,391:INFO:Preparing display monitor
- 2022-01-17 14:08:47,396:INFO:Preloading libraries
- 2022-01-17 14:08:47,403:INFO:Copying training dataset
- 2022-01-17 14:08:47,404:INFO:Copying test dataset
- 2022-01-17 14:08:47,404:INFO:Plot type: threshold
- 2022-01-17 14:08:47,431:INFO:Fitting Model
- 2022-01-17 14:09:02,447:INFO:Scoring test/hold-out set
- 2022-01-17 14:09:02,654:INFO:Visual Rendered Successfully
- 2022-01-17 14:09:02,725:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:09:05,558:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:09:05,559:INFO:Checking exceptions
- 2022-01-17 14:09:05,572:INFO:Preparing display monitor
- 2022-01-17 14:09:05,576:INFO:Preloading libraries
- 2022-01-17 14:09:05,583:INFO:Copying training dataset
- 2022-01-17 14:09:05,583:INFO:Copying test dataset
- 2022-01-17 14:09:05,584:INFO:Plot type: boundary
- 2022-01-17 14:09:05,613:INFO:Fitting StandardScaler()
- 2022-01-17 14:09:05,622:INFO:Fitting PCA()
- 2022-01-17 14:09:05,715:INFO:Initializing get_config()
- 2022-01-17 14:09:05,716:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:09:05,720:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:09:05,720:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:09:05,721:INFO:Fitting Model
- 2022-01-17 14:09:07,028:INFO:Visual Rendered Successfully
- 2022-01-17 14:09:07,132:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:09:19,334:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:09:19,334:INFO:Checking exceptions
- 2022-01-17 14:09:19,348:INFO:Preparing display monitor
- 2022-01-17 14:09:19,353:INFO:Preloading libraries
- 2022-01-17 14:09:19,359:INFO:Copying training dataset
- 2022-01-17 14:09:19,360:INFO:Copying test dataset
- 2022-01-17 14:09:19,360:INFO:Plot type: lift
- 2022-01-17 14:09:19,386:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 14:09:19,515:INFO:Visual Rendered Successfully
- 2022-01-17 14:09:19,589:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:09:23,210:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:09:23,211:INFO:Checking exceptions
- 2022-01-17 14:09:23,224:INFO:Preparing display monitor
- 2022-01-17 14:09:23,229:INFO:Preloading libraries
- 2022-01-17 14:09:23,235:INFO:Copying training dataset
- 2022-01-17 14:09:23,236:INFO:Copying test dataset
- 2022-01-17 14:09:23,236:INFO:Plot type: gain
- 2022-01-17 14:09:23,262:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 14:09:23,384:INFO:Visual Rendered Successfully
- 2022-01-17 14:09:23,464:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:09:25,495:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:09:25,496:INFO:Checking exceptions
- 2022-01-17 14:09:25,509:INFO:Preparing display monitor
- 2022-01-17 14:09:25,515:INFO:Preloading libraries
- 2022-01-17 14:09:25,521:INFO:Copying training dataset
- 2022-01-17 14:09:25,522:INFO:Copying test dataset
- 2022-01-17 14:09:25,522:INFO:Plot type: tree
- 2022-01-17 14:09:26,537:INFO:Plotting decision trees
- 2022-01-17 14:09:26,542:INFO:Plotting tree 0
- 2022-01-17 14:09:28,332:INFO:Plotting tree 1
- 2022-01-17 14:09:30,091:INFO:Plotting tree 2
- 2022-01-17 14:09:31,900:INFO:Plotting tree 3
- 2022-01-17 14:09:33,639:INFO:Plotting tree 4
- 2022-01-17 14:09:35,406:INFO:Plotting tree 5
- 2022-01-17 14:09:37,118:INFO:Plotting tree 6
- 2022-01-17 14:09:38,825:INFO:Plotting tree 7
- 2022-01-17 14:09:40,746:INFO:Plotting tree 8
- 2022-01-17 14:09:42,530:INFO:Plotting tree 9
- 2022-01-17 14:09:44,309:INFO:Plotting tree 10
- 2022-01-17 14:09:45,969:INFO:Plotting tree 11
- 2022-01-17 14:09:47,996:INFO:Plotting tree 12
- 2022-01-17 14:09:49,746:INFO:Plotting tree 13
- 2022-01-17 14:09:51,378:INFO:Plotting tree 14
- 2022-01-17 14:09:53,261:INFO:Plotting tree 15
- 2022-01-17 14:09:55,019:INFO:Plotting tree 16
- 2022-01-17 14:09:56,745:INFO:Plotting tree 17
- 2022-01-17 14:09:58,676:INFO:Plotting tree 18
- 2022-01-17 14:10:00,263:INFO:Plotting tree 19
- 2022-01-17 14:10:02,089:INFO:Plotting tree 20
- 2022-01-17 14:10:03,925:INFO:Plotting tree 21
- 2022-01-17 14:10:05,516:INFO:Plotting tree 22
- 2022-01-17 14:10:07,184:INFO:Plotting tree 23
- 2022-01-17 14:10:09,142:INFO:Plotting tree 24
- 2022-01-17 14:10:10,768:INFO:Plotting tree 25
- 2022-01-17 14:10:12,383:INFO:Plotting tree 26
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- 2022-01-17 14:12:21,761:INFO:Plotting tree 99
- 2022-01-17 14:18:50,862:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 14:18:50,863:INFO:Checking exceptions
- 2022-01-17 14:18:50,871:INFO:Preparing display monitor
- 2022-01-17 14:18:50,876:INFO:Preloading libraries
- 2022-01-17 14:18:50,885:INFO:Copying training dataset
- 2022-01-17 14:18:50,886:INFO:Copying test dataset
- 2022-01-17 14:18:50,887:INFO:Plot type: feature
- 2022-01-17 14:18:50,903:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:18:50,994:INFO:Visual Rendered Successfully
- 2022-01-17 14:18:52,566:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:20:56,926:INFO:PyCaret Supervised Module
- 2022-01-17 14:20:56,926:INFO:ML Usecase: classification
- 2022-01-17 14:20:56,926:INFO:version 2.3.6
- 2022-01-17 14:20:56,926:INFO:Initializing setup()
- 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)
- 2022-01-17 14:20:56,927:INFO:Checking environment
- 2022-01-17 14:20:56,927:INFO:python_version: 3.8.8
- 2022-01-17 14:20:56,927:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 14:20:56,927:INFO:machine: x86_64
- 2022-01-17 14:20:56,927:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 14:20:56,929:INFO:Physical Core: 16
- 2022-01-17 14:20:56,929:INFO:Logical Core: 32
- 2022-01-17 14:20:56,929:INFO:Checking libraries
- 2022-01-17 14:20:56,929:INFO:pd==1.2.4
- 2022-01-17 14:20:56,929:INFO:numpy==1.19.5
- 2022-01-17 14:20:56,929:INFO:sklearn==0.23.2
- 2022-01-17 14:20:56,929:INFO:lightgbm==3.3.2
- 2022-01-17 14:20:56,930:WARNING:catboost not found
- 2022-01-17 14:20:56,930:WARNING:xgboost not found
- 2022-01-17 14:20:57,049:INFO:mlflow==1.22.0
- 2022-01-17 14:20:57,050:INFO:Checking Exceptions
- 2022-01-17 14:20:57,050:INFO:Declaring global variables
- 2022-01-17 14:20:57,050:INFO:USI: 9111
- 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__'}
- 2022-01-17 14:20:57,051:INFO:Preparing display monitor
- 2022-01-17 14:20:57,051:INFO:Preparing display monitor
- 2022-01-17 14:20:57,062:INFO:Importing libraries
- 2022-01-17 14:20:57,063:INFO:Copying data for preprocessing
- 2022-01-17 14:20:57,068:INFO:Declaring preprocessing parameters
- 2022-01-17 14:20:57,069:WARNING:cuML not found
- 2022-01-17 14:20:57,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 14:20:57,071:INFO:Creating preprocessing pipeline
- 2022-01-17 14:20:57,086:INFO:Preprocessing pipeline created successfully
- 2022-01-17 14:20:57,087:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 14:20:57,087:INFO:Creating global containers
- 2022-01-17 14:20:57,088:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 14:21:38,452:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 14:21:38,480:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 14:21:38,481:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 14:21:38,482:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 14:21:38,497:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 14:21:38,501:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 14:21:38,503:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 14:21:38,509:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 14:21:38,513:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 14:21:38,541:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 14:21:38,541:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 14:21:38,542:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 14:21:38,556:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 14:21:38,559:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 14:21:38,560:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 14:21:38,564:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 14:21:38,565:INFO:Creating grid variables
- 2022-01-17 14:21:38,577:INFO:create_model_container: 0
- 2022-01-17 14:21:38,577:INFO:master_model_container: 0
- 2022-01-17 14:21:38,578:INFO:display_container: 1
- 2022-01-17 14:21:38,581:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:21:38,581:INFO:setup() succesfully completed......................................
- 2022-01-17 14:22:17,351:INFO:Initializing compare_models()
- 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)
- 2022-01-17 14:22:17,351:INFO:Checking exceptions
- 2022-01-17 14:22:17,352:INFO:Preparing display monitor
- 2022-01-17 14:22:17,352:INFO:Preparing display monitor
- 2022-01-17 14:22:17,369:INFO:Initializing Logistic Regression
- 2022-01-17 14:22:17,369:INFO:Total runtime is 5.825360616048177e-06 minutes
- 2022-01-17 14:22:17,375:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:17,375:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:17,376:INFO:Checking exceptions
- 2022-01-17 14:22:17,376:INFO:Importing libraries
- 2022-01-17 14:22:17,376:INFO:Copying training dataset
- 2022-01-17 14:22:17,377:INFO:Defining folds
- 2022-01-17 14:22:17,377:INFO:Declaring metric variables
- 2022-01-17 14:22:17,382:INFO:Importing untrained model
- 2022-01-17 14:22:17,387:INFO:Logistic Regression Imported succesfully
- 2022-01-17 14:22:17,398:INFO:Starting cross validation
- 2022-01-17 14:22:17,399:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:19,126:INFO:Calculating mean and std
- 2022-01-17 14:22:19,129:INFO:Creating metrics dataframe
- 2022-01-17 14:22:19,135:INFO:Uploading results into container
- 2022-01-17 14:22:19,136:INFO:Uploading model into container now
- 2022-01-17 14:22:19,136:INFO:create_model_container: 1
- 2022-01-17 14:22:19,136:INFO:master_model_container: 1
- 2022-01-17 14:22:19,136:INFO:display_container: 2
- 2022-01-17 14:22:19,137:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4642, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:19,137:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:19,220:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:19,220:INFO:Creating metrics dataframe
- 2022-01-17 14:22:19,229:INFO:Initializing K Neighbors Classifier
- 2022-01-17 14:22:19,229:INFO:Total runtime is 0.03100540240605672 minutes
- 2022-01-17 14:22:19,235:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:19,235:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:19,236:INFO:Checking exceptions
- 2022-01-17 14:22:19,236:INFO:Importing libraries
- 2022-01-17 14:22:19,236:INFO:Copying training dataset
- 2022-01-17 14:22:19,237:INFO:Defining folds
- 2022-01-17 14:22:19,237:INFO:Declaring metric variables
- 2022-01-17 14:22:19,241:INFO:Importing untrained model
- 2022-01-17 14:22:19,246:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 14:22:19,256:INFO:Starting cross validation
- 2022-01-17 14:22:19,257:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:24,781:INFO:Calculating mean and std
- 2022-01-17 14:22:24,782:INFO:Creating metrics dataframe
- 2022-01-17 14:22:24,785:INFO:Uploading results into container
- 2022-01-17 14:22:24,785:INFO:Uploading model into container now
- 2022-01-17 14:22:24,786:INFO:create_model_container: 2
- 2022-01-17 14:22:24,786:INFO:master_model_container: 2
- 2022-01-17 14:22:24,786:INFO:display_container: 2
- 2022-01-17 14:22:24,786:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 14:22:24,787:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:24,860:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:24,860:INFO:Creating metrics dataframe
- 2022-01-17 14:22:24,871:INFO:Initializing Naive Bayes
- 2022-01-17 14:22:24,871:INFO:Total runtime is 0.1250363866488139 minutes
- 2022-01-17 14:22:24,877:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:24,877:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:24,878:INFO:Checking exceptions
- 2022-01-17 14:22:24,878:INFO:Importing libraries
- 2022-01-17 14:22:24,878:INFO:Copying training dataset
- 2022-01-17 14:22:24,879:INFO:Defining folds
- 2022-01-17 14:22:24,879:INFO:Declaring metric variables
- 2022-01-17 14:22:24,885:INFO:Importing untrained model
- 2022-01-17 14:22:24,890:INFO:Naive Bayes Imported succesfully
- 2022-01-17 14:22:24,900:INFO:Starting cross validation
- 2022-01-17 14:22:24,901:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:25,010:INFO:Calculating mean and std
- 2022-01-17 14:22:25,010:INFO:Creating metrics dataframe
- 2022-01-17 14:22:25,013:INFO:Uploading results into container
- 2022-01-17 14:22:25,013:INFO:Uploading model into container now
- 2022-01-17 14:22:25,013:INFO:create_model_container: 3
- 2022-01-17 14:22:25,014:INFO:master_model_container: 3
- 2022-01-17 14:22:25,014:INFO:display_container: 2
- 2022-01-17 14:22:25,014:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 14:22:25,014:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:25,079:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:25,079:INFO:Creating metrics dataframe
- 2022-01-17 14:22:25,090:INFO:Initializing Decision Tree Classifier
- 2022-01-17 14:22:25,090:INFO:Total runtime is 0.12867645819981893 minutes
- 2022-01-17 14:22:25,095:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:25,096:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:25,096:INFO:Checking exceptions
- 2022-01-17 14:22:25,096:INFO:Importing libraries
- 2022-01-17 14:22:25,096:INFO:Copying training dataset
- 2022-01-17 14:22:25,097:INFO:Defining folds
- 2022-01-17 14:22:25,097:INFO:Declaring metric variables
- 2022-01-17 14:22:25,102:INFO:Importing untrained model
- 2022-01-17 14:22:25,107:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:22:25,117:INFO:Starting cross validation
- 2022-01-17 14:22:25,118:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:25,365:INFO:Calculating mean and std
- 2022-01-17 14:22:25,366:INFO:Creating metrics dataframe
- 2022-01-17 14:22:25,368:INFO:Uploading results into container
- 2022-01-17 14:22:25,368:INFO:Uploading model into container now
- 2022-01-17 14:22:25,369:INFO:create_model_container: 4
- 2022-01-17 14:22:25,369:INFO:master_model_container: 4
- 2022-01-17 14:22:25,369:INFO:display_container: 2
- 2022-01-17 14:22:25,369:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:22:25,369:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:25,435:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:25,436:INFO:Creating metrics dataframe
- 2022-01-17 14:22:25,447:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 14:22:25,447:INFO:Total runtime is 0.13463132778803508 minutes
- 2022-01-17 14:22:25,452:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:25,452:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:25,453:INFO:Checking exceptions
- 2022-01-17 14:22:25,453:INFO:Importing libraries
- 2022-01-17 14:22:25,453:INFO:Copying training dataset
- 2022-01-17 14:22:25,454:INFO:Defining folds
- 2022-01-17 14:22:25,454:INFO:Declaring metric variables
- 2022-01-17 14:22:25,458:INFO:Importing untrained model
- 2022-01-17 14:22:25,464:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 14:22:25,474:INFO:Starting cross validation
- 2022-01-17 14:22:25,474:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:26,094:INFO:Calculating mean and std
- 2022-01-17 14:22:26,095:INFO:Creating metrics dataframe
- 2022-01-17 14:22:26,102:INFO:Uploading results into container
- 2022-01-17 14:22:26,103:INFO:Uploading model into container now
- 2022-01-17 14:22:26,103:INFO:create_model_container: 5
- 2022-01-17 14:22:26,103:INFO:master_model_container: 5
- 2022-01-17 14:22:26,103:INFO:display_container: 2
- 2022-01-17 14:22:26,105:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4642, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 14:22:26,105:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:26,189:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:26,189:INFO:Creating metrics dataframe
- 2022-01-17 14:22:26,201:INFO:Initializing Ridge Classifier
- 2022-01-17 14:22:26,201:INFO:Total runtime is 0.14719861348470054 minutes
- 2022-01-17 14:22:26,206:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:26,207:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:26,207:INFO:Checking exceptions
- 2022-01-17 14:22:26,207:INFO:Importing libraries
- 2022-01-17 14:22:26,207:INFO:Copying training dataset
- 2022-01-17 14:22:26,208:INFO:Defining folds
- 2022-01-17 14:22:26,208:INFO:Declaring metric variables
- 2022-01-17 14:22:26,213:INFO:Importing untrained model
- 2022-01-17 14:22:26,218:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 14:22:26,227:INFO:Starting cross validation
- 2022-01-17 14:22:26,228:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:26,585:INFO:Calculating mean and std
- 2022-01-17 14:22:26,586:INFO:Creating metrics dataframe
- 2022-01-17 14:22:26,589:INFO:Uploading results into container
- 2022-01-17 14:22:26,590:INFO:Uploading model into container now
- 2022-01-17 14:22:26,590:INFO:create_model_container: 6
- 2022-01-17 14:22:26,590:INFO:master_model_container: 6
- 2022-01-17 14:22:26,590:INFO:display_container: 2
- 2022-01-17 14:22:26,591:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4642,
- solver='auto', tol=0.001)
- 2022-01-17 14:22:26,591:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:26,698:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:26,698:INFO:Creating metrics dataframe
- 2022-01-17 14:22:26,709:INFO:Initializing Random Forest Classifier
- 2022-01-17 14:22:26,710:INFO:Total runtime is 0.15567574898401898 minutes
- 2022-01-17 14:22:26,715:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:26,715:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:26,715:INFO:Checking exceptions
- 2022-01-17 14:22:26,716:INFO:Importing libraries
- 2022-01-17 14:22:26,716:INFO:Copying training dataset
- 2022-01-17 14:22:26,716:INFO:Defining folds
- 2022-01-17 14:22:26,717:INFO:Declaring metric variables
- 2022-01-17 14:22:26,721:INFO:Importing untrained model
- 2022-01-17 14:22:26,726:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:22:26,736:INFO:Starting cross validation
- 2022-01-17 14:22:26,737:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:32,411:INFO:Calculating mean and std
- 2022-01-17 14:22:32,412:INFO:Creating metrics dataframe
- 2022-01-17 14:22:32,415:INFO:Uploading results into container
- 2022-01-17 14:22:32,415:INFO:Uploading model into container now
- 2022-01-17 14:22:32,415:INFO:create_model_container: 7
- 2022-01-17 14:22:32,415:INFO:master_model_container: 7
- 2022-01-17 14:22:32,416:INFO:display_container: 2
- 2022-01-17 14:22:32,416:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:32,416:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:32,488:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:32,488:INFO:Creating metrics dataframe
- 2022-01-17 14:22:32,499:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 14:22:32,500:INFO:Total runtime is 0.25217552185058595 minutes
- 2022-01-17 14:22:32,505:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:32,505:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:32,506:INFO:Checking exceptions
- 2022-01-17 14:22:32,506:INFO:Importing libraries
- 2022-01-17 14:22:32,506:INFO:Copying training dataset
- 2022-01-17 14:22:32,507:INFO:Defining folds
- 2022-01-17 14:22:32,507:INFO:Declaring metric variables
- 2022-01-17 14:22:32,511:INFO:Importing untrained model
- 2022-01-17 14:22:32,516:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 14:22:32,526:INFO:Starting cross validation
- 2022-01-17 14:22:32,527:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:32,870:INFO:Calculating mean and std
- 2022-01-17 14:22:32,871:INFO:Creating metrics dataframe
- 2022-01-17 14:22:32,877:INFO:Uploading results into container
- 2022-01-17 14:22:32,878:INFO:Uploading model into container now
- 2022-01-17 14:22:32,878:INFO:create_model_container: 8
- 2022-01-17 14:22:32,878:INFO:master_model_container: 8
- 2022-01-17 14:22:32,879:INFO:display_container: 2
- 2022-01-17 14:22:32,879:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 14:22:32,879:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:32,964:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:32,964:INFO:Creating metrics dataframe
- 2022-01-17 14:22:32,976:INFO:Initializing Ada Boost Classifier
- 2022-01-17 14:22:32,976:INFO:Total runtime is 0.2601176619529724 minutes
- 2022-01-17 14:22:32,982:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:32,982:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:32,983:INFO:Checking exceptions
- 2022-01-17 14:22:32,983:INFO:Importing libraries
- 2022-01-17 14:22:32,983:INFO:Copying training dataset
- 2022-01-17 14:22:32,984:INFO:Defining folds
- 2022-01-17 14:22:32,984:INFO:Declaring metric variables
- 2022-01-17 14:22:32,989:INFO:Importing untrained model
- 2022-01-17 14:22:32,993:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 14:22:33,004:INFO:Starting cross validation
- 2022-01-17 14:22:33,004:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:35,248:INFO:Calculating mean and std
- 2022-01-17 14:22:35,249:INFO:Creating metrics dataframe
- 2022-01-17 14:22:35,252:INFO:Uploading results into container
- 2022-01-17 14:22:35,252:INFO:Uploading model into container now
- 2022-01-17 14:22:35,252:INFO:create_model_container: 9
- 2022-01-17 14:22:35,252:INFO:master_model_container: 9
- 2022-01-17 14:22:35,252:INFO:display_container: 2
- 2022-01-17 14:22:35,253:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4642)
- 2022-01-17 14:22:35,253:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:35,323:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:35,323:INFO:Creating metrics dataframe
- 2022-01-17 14:22:35,335:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 14:22:35,335:INFO:Total runtime is 0.29943839311599735 minutes
- 2022-01-17 14:22:35,341:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:35,341:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:35,342:INFO:Checking exceptions
- 2022-01-17 14:22:35,342:INFO:Importing libraries
- 2022-01-17 14:22:35,342:INFO:Copying training dataset
- 2022-01-17 14:22:35,343:INFO:Defining folds
- 2022-01-17 14:22:35,344:INFO:Declaring metric variables
- 2022-01-17 14:22:35,349:INFO:Importing untrained model
- 2022-01-17 14:22:35,355:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 14:22:35,367:INFO:Starting cross validation
- 2022-01-17 14:22:35,368:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:41,628:INFO:Calculating mean and std
- 2022-01-17 14:22:41,629:INFO:Creating metrics dataframe
- 2022-01-17 14:22:41,632:INFO:Uploading results into container
- 2022-01-17 14:22:41,632:INFO:Uploading model into container now
- 2022-01-17 14:22:41,632:INFO:create_model_container: 10
- 2022-01-17 14:22:41,632:INFO:master_model_container: 10
- 2022-01-17 14:22:41,632:INFO:display_container: 2
- 2022-01-17 14:22:41,633:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4642, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:41,633:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:41,701:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:41,701:INFO:Creating metrics dataframe
- 2022-01-17 14:22:41,714:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 14:22:41,714:INFO:Total runtime is 0.40575410525004074 minutes
- 2022-01-17 14:22:41,720:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:41,720:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:41,720:INFO:Checking exceptions
- 2022-01-17 14:22:41,721:INFO:Importing libraries
- 2022-01-17 14:22:41,721:INFO:Copying training dataset
- 2022-01-17 14:22:41,721:INFO:Defining folds
- 2022-01-17 14:22:41,722:INFO:Declaring metric variables
- 2022-01-17 14:22:41,726:INFO:Importing untrained model
- 2022-01-17 14:22:41,731:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 14:22:41,741:INFO:Starting cross validation
- 2022-01-17 14:22:41,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:42,641:INFO:Calculating mean and std
- 2022-01-17 14:22:42,646:INFO:Creating metrics dataframe
- 2022-01-17 14:22:42,652:INFO:Uploading results into container
- 2022-01-17 14:22:42,653:INFO:Uploading model into container now
- 2022-01-17 14:22:42,653:INFO:create_model_container: 11
- 2022-01-17 14:22:42,653:INFO:master_model_container: 11
- 2022-01-17 14:22:42,653:INFO:display_container: 2
- 2022-01-17 14:22:42,653:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 14:22:42,654:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:42,749:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:42,750:INFO:Creating metrics dataframe
- 2022-01-17 14:22:42,762:INFO:Initializing Extra Trees Classifier
- 2022-01-17 14:22:42,762:INFO:Total runtime is 0.4232224543889364 minutes
- 2022-01-17 14:22:42,768:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:42,768:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:42,769:INFO:Checking exceptions
- 2022-01-17 14:22:42,769:INFO:Importing libraries
- 2022-01-17 14:22:42,769:INFO:Copying training dataset
- 2022-01-17 14:22:42,770:INFO:Defining folds
- 2022-01-17 14:22:42,770:INFO:Declaring metric variables
- 2022-01-17 14:22:42,775:INFO:Importing untrained model
- 2022-01-17 14:22:42,780:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 14:22:42,790:INFO:Starting cross validation
- 2022-01-17 14:22:42,790:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:48,528:INFO:Calculating mean and std
- 2022-01-17 14:22:48,529:INFO:Creating metrics dataframe
- 2022-01-17 14:22:48,532:INFO:Uploading results into container
- 2022-01-17 14:22:48,532:INFO:Uploading model into container now
- 2022-01-17 14:22:48,532:INFO:create_model_container: 12
- 2022-01-17 14:22:48,532:INFO:master_model_container: 12
- 2022-01-17 14:22:48,532:INFO:display_container: 2
- 2022-01-17 14:22:48,533:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4642, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:48,533:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:48,601:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:48,601:INFO:Creating metrics dataframe
- 2022-01-17 14:22:48,614:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 14:22:48,614:INFO:Total runtime is 0.5207454482714335 minutes
- 2022-01-17 14:22:48,619:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:48,619:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:48,620:INFO:Checking exceptions
- 2022-01-17 14:22:48,620:INFO:Importing libraries
- 2022-01-17 14:22:48,620:INFO:Copying training dataset
- 2022-01-17 14:22:48,621:INFO:Defining folds
- 2022-01-17 14:22:48,621:INFO:Declaring metric variables
- 2022-01-17 14:22:48,626:INFO:Importing untrained model
- 2022-01-17 14:22:48,631:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 14:22:48,642:INFO:Starting cross validation
- 2022-01-17 14:22:48,642:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:50,245:INFO:Calculating mean and std
- 2022-01-17 14:22:50,246:INFO:Creating metrics dataframe
- 2022-01-17 14:22:50,249:INFO:Uploading results into container
- 2022-01-17 14:22:50,249:INFO:Uploading model into container now
- 2022-01-17 14:22:50,250:INFO:create_model_container: 13
- 2022-01-17 14:22:50,250:INFO:master_model_container: 13
- 2022-01-17 14:22:50,250:INFO:display_container: 2
- 2022-01-17 14:22:50,250:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4642, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 14:22:50,250:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:50,314:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:50,314:INFO:Creating metrics dataframe
- 2022-01-17 14:22:50,327:INFO:Initializing Dummy Classifier
- 2022-01-17 14:22:50,327:INFO:Total runtime is 0.5493064363797506 minutes
- 2022-01-17 14:22:50,333:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:50,333:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:50,334:INFO:Checking exceptions
- 2022-01-17 14:22:50,334:INFO:Importing libraries
- 2022-01-17 14:22:50,334:INFO:Copying training dataset
- 2022-01-17 14:22:50,335:INFO:Defining folds
- 2022-01-17 14:22:50,335:INFO:Declaring metric variables
- 2022-01-17 14:22:50,339:INFO:Importing untrained model
- 2022-01-17 14:22:50,344:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 14:22:50,354:INFO:Starting cross validation
- 2022-01-17 14:22:50,355:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:50,416:INFO:Calculating mean and std
- 2022-01-17 14:22:50,417:INFO:Creating metrics dataframe
- 2022-01-17 14:22:50,419:INFO:Uploading results into container
- 2022-01-17 14:22:50,419:INFO:Uploading model into container now
- 2022-01-17 14:22:50,420:INFO:create_model_container: 14
- 2022-01-17 14:22:50,420:INFO:master_model_container: 14
- 2022-01-17 14:22:50,420:INFO:display_container: 2
- 2022-01-17 14:22:50,420:INFO:DummyClassifier(constant=None, random_state=4642, strategy='prior')
- 2022-01-17 14:22:50,420:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:50,488:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:50,488:INFO:Creating metrics dataframe
- 2022-01-17 14:22:50,513:INFO:Initializing create_model()
- 2022-01-17 14:22:50,514:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
- 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={})
- 2022-01-17 14:22:50,514:INFO:Checking exceptions
- 2022-01-17 14:22:50,514:INFO:Importing libraries
- 2022-01-17 14:22:50,514:INFO:Copying training dataset
- 2022-01-17 14:22:50,515:INFO:Defining folds
- 2022-01-17 14:22:50,515:INFO:Declaring metric variables
- 2022-01-17 14:22:50,515:INFO:Importing untrained model
- 2022-01-17 14:22:50,515:INFO:Declaring custom model
- 2022-01-17 14:22:50,516:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:22:50,516:INFO:Cross validation set to False
- 2022-01-17 14:22:50,516:INFO:Fitting Model
- 2022-01-17 14:22:50,801:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:50,801:INFO:create_models() succesfully completed......................................
- 2022-01-17 14:22:50,901:INFO:create_model_container: 14
- 2022-01-17 14:22:50,902:INFO:master_model_container: 14
- 2022-01-17 14:22:50,902:INFO:display_container: 2
- 2022-01-17 14:22:50,902:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:50,902:INFO:compare_models() succesfully completed......................................
- 2022-01-17 14:23:54,486:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:23:54,487:INFO:Checking exceptions
- 2022-01-17 14:23:54,487:INFO:Preparing display monitor
- 2022-01-17 14:23:54,498:INFO:Importing libraries
- 2022-01-17 14:23:54,498:INFO:Copying training dataset
- 2022-01-17 14:23:54,499:INFO:Defining folds
- 2022-01-17 14:23:54,499:INFO:Declaring metric variables
- 2022-01-17 14:23:54,504:INFO:Importing untrained model
- 2022-01-17 14:23:54,509:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:23:54,520:INFO:Starting cross validation
- 2022-01-17 14:23:54,520:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:23:54,773:INFO:Calculating mean and std
- 2022-01-17 14:23:54,774:INFO:Creating metrics dataframe
- 2022-01-17 14:23:54,783:INFO:Finalizing model
- 2022-01-17 14:23:54,805:INFO:Uploading results into container
- 2022-01-17 14:23:54,805:INFO:Uploading model into container now
- 2022-01-17 14:23:54,814:INFO:create_model_container: 15
- 2022-01-17 14:23:54,815:INFO:master_model_container: 15
- 2022-01-17 14:23:54,815:INFO:display_container: 3
- 2022-01-17 14:23:54,815:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:23:54,815:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:23:58,352:INFO:Initializing tune_model()
- 2022-01-17 14:23:58,352:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-17 14:23:58,353:INFO:Checking exceptions
- 2022-01-17 14:23:58,353:INFO:Preparing display monitor
- 2022-01-17 14:23:58,364:INFO:Copying training dataset
- 2022-01-17 14:23:58,365:INFO:Checking base model
- 2022-01-17 14:23:58,366:INFO:Base model : Decision Tree Classifier
- 2022-01-17 14:23:58,371:INFO:Declaring metric variables
- 2022-01-17 14:23:58,376:INFO:Defining Hyperparameters
- 2022-01-17 14:23:58,454:INFO:Tuning with n_jobs=-1
- 2022-01-17 14:23:58,455:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-17 14:23:59,651:INFO:Hyperparameter search completed
- 2022-01-17 14:23:59,651:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:23:59,652:INFO:Initializing create_model()
- 2022-01-17 14:23:59,652:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-17 14:23:59,652:INFO:Checking exceptions
- 2022-01-17 14:23:59,652:INFO:Importing libraries
- 2022-01-17 14:23:59,652:INFO:Copying training dataset
- 2022-01-17 14:23:59,653:INFO:Defining folds
- 2022-01-17 14:23:59,653:INFO:Declaring metric variables
- 2022-01-17 14:23:59,659:INFO:Importing untrained model
- 2022-01-17 14:23:59,659:INFO:Declaring custom model
- 2022-01-17 14:23:59,664:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:23:59,675:INFO:Starting cross validation
- 2022-01-17 14:23:59,675:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:23:59,872:INFO:Calculating mean and std
- 2022-01-17 14:23:59,873:INFO:Creating metrics dataframe
- 2022-01-17 14:23:59,880:INFO:Finalizing model
- 2022-01-17 14:23:59,895:INFO:Uploading results into container
- 2022-01-17 14:23:59,895:INFO:Uploading model into container now
- 2022-01-17 14:23:59,895:INFO:create_model_container: 16
- 2022-01-17 14:23:59,895:INFO:master_model_container: 16
- 2022-01-17 14:23:59,896:INFO:display_container: 4
- 2022-01-17 14:23:59,896:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=16, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=10,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:23:59,896:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:23:59,964:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:23:59,973:INFO:create_model_container: 16
- 2022-01-17 14:23:59,974:INFO:master_model_container: 16
- 2022-01-17 14:23:59,974:INFO:display_container: 4
- 2022-01-17 14:23:59,974:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=16, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=10,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:23:59,974:INFO:tune_model() succesfully completed......................................
- 2022-01-17 14:24:05,989:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:24:05,990:INFO:Checking exceptions
- 2022-01-17 14:24:05,990:INFO:Preparing display monitor
- 2022-01-17 14:24:06,002:INFO:Importing libraries
- 2022-01-17 14:24:06,002:INFO:Copying training dataset
- 2022-01-17 14:24:06,003:INFO:Defining folds
- 2022-01-17 14:24:06,003:INFO:Declaring metric variables
- 2022-01-17 14:24:06,008:INFO:Importing untrained model
- 2022-01-17 14:24:06,013:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:24:06,023:INFO:Starting cross validation
- 2022-01-17 14:24:06,024:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:24:06,275:INFO:Calculating mean and std
- 2022-01-17 14:24:06,276:INFO:Creating metrics dataframe
- 2022-01-17 14:24:06,283:INFO:Finalizing model
- 2022-01-17 14:24:06,304:INFO:Uploading results into container
- 2022-01-17 14:24:06,305:INFO:Uploading model into container now
- 2022-01-17 14:24:06,315:INFO:create_model_container: 17
- 2022-01-17 14:24:06,315:INFO:master_model_container: 17
- 2022-01-17 14:24:06,315:INFO:display_container: 5
- 2022-01-17 14:24:06,315:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:24:06,316:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:24:09,698:INFO:Initializing evaluate_model()
- 2022-01-17 14:24:09,699:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 14:24:09,711:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:09,712:INFO:Checking exceptions
- 2022-01-17 14:24:09,712:INFO:Preparing display monitor
- 2022-01-17 14:24:09,717:INFO:Preloading libraries
- 2022-01-17 14:24:09,718:INFO:Copying training dataset
- 2022-01-17 14:24:09,718:INFO:Copying test dataset
- 2022-01-17 14:24:09,719:INFO:Plot type: parameter
- 2022-01-17 14:24:09,723:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:09,797:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:11,637:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:11,638:INFO:Checking exceptions
- 2022-01-17 14:24:11,638:INFO:Preparing display monitor
- 2022-01-17 14:24:11,642:INFO:Preloading libraries
- 2022-01-17 14:24:11,643:INFO:Copying training dataset
- 2022-01-17 14:24:11,644:INFO:Copying test dataset
- 2022-01-17 14:24:11,644:INFO:Plot type: auc
- 2022-01-17 14:24:11,645:INFO:Initializing get_config()
- 2022-01-17 14:24:11,645:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:24:11,648:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:24:11,648:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:24:11,649:INFO:Fitting Model
- 2022-01-17 14:24:11,651:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:11,757:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:11,827:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:13,482:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:24:13,483:INFO:Checking exceptions
- 2022-01-17 14:24:13,484:INFO:Preparing display monitor
- 2022-01-17 14:24:13,487:INFO:Preloading libraries
- 2022-01-17 14:24:13,488:INFO:Copying training dataset
- 2022-01-17 14:24:13,489:INFO:Copying test dataset
- 2022-01-17 14:24:13,489:INFO:Plot type: confusion_matrix
- 2022-01-17 14:24:13,490:INFO:Initializing get_config()
- 2022-01-17 14:24:13,490:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:24:13,493:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:24:13,493:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:24:13,494:INFO:Fitting Model
- 2022-01-17 14:24:13,495:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:13,566:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:13,637:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:20,670:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:20,670:INFO:Checking exceptions
- 2022-01-17 14:24:20,671:INFO:Preparing display monitor
- 2022-01-17 14:24:20,675:INFO:Preloading libraries
- 2022-01-17 14:24:20,676:INFO:Copying training dataset
- 2022-01-17 14:24:20,676:INFO:Copying test dataset
- 2022-01-17 14:24:20,676:INFO:Plot type: threshold
- 2022-01-17 14:24:20,678:INFO:Fitting Model
- 2022-01-17 14:24:21,766:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:21,929:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:21,996:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:24,082:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:24,082:INFO:Checking exceptions
- 2022-01-17 14:24:24,083:INFO:Preparing display monitor
- 2022-01-17 14:24:24,087:INFO:Preloading libraries
- 2022-01-17 14:24:24,087:INFO:Copying training dataset
- 2022-01-17 14:24:24,088:INFO:Copying test dataset
- 2022-01-17 14:24:24,088:INFO:Plot type: pr
- 2022-01-17 14:24:24,089:INFO:Fitting Model
- 2022-01-17 14:24:24,090:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:24,183:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:24,248:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:31,421:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:31,422:INFO:Checking exceptions
- 2022-01-17 14:24:31,423:INFO:Preparing display monitor
- 2022-01-17 14:24:31,427:INFO:Preloading libraries
- 2022-01-17 14:24:31,428:INFO:Copying training dataset
- 2022-01-17 14:24:31,428:INFO:Copying test dataset
- 2022-01-17 14:24:31,429:INFO:Plot type: error
- 2022-01-17 14:24:31,430:INFO:Initializing get_config()
- 2022-01-17 14:24:31,430:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:24:31,433:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:24:31,433:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:24:31,434:INFO:Fitting Model
- 2022-01-17 14:24:31,435:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:31,520:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:31,593:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:37,681:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:24:37,682:INFO:Checking exceptions
- 2022-01-17 14:24:37,682:INFO:Preparing display monitor
- 2022-01-17 14:24:37,686:INFO:Preloading libraries
- 2022-01-17 14:24:37,687:INFO:Copying training dataset
- 2022-01-17 14:24:37,687:INFO:Copying test dataset
- 2022-01-17 14:24:37,688:INFO:Plot type: class_report
- 2022-01-17 14:24:37,688:INFO:Initializing get_config()
- 2022-01-17 14:24:37,689:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:24:37,692:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:24:37,692:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:24:37,692:INFO:Fitting Model
- 2022-01-17 14:24:37,693:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:37,806:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:37,875:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:25:49,619:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=learning, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:25:49,619:INFO:Checking exceptions
- 2022-01-17 14:25:49,620:INFO:Preparing display monitor
- 2022-01-17 14:25:49,624:INFO:Preloading libraries
- 2022-01-17 14:25:49,625:INFO:Copying training dataset
- 2022-01-17 14:25:49,625:INFO:Copying test dataset
- 2022-01-17 14:25:49,626:INFO:Plot type: learning
- 2022-01-17 14:25:49,628:INFO:Fitting Model
- 2022-01-17 14:25:51,324:INFO:Visual Rendered Successfully
- 2022-01-17 14:25:51,399:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:06,504:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:06,504:INFO:Checking exceptions
- 2022-01-17 14:26:06,505:INFO:Preparing display monitor
- 2022-01-17 14:26:06,509:INFO:Preloading libraries
- 2022-01-17 14:26:06,509:INFO:Copying training dataset
- 2022-01-17 14:26:06,510:INFO:Copying test dataset
- 2022-01-17 14:26:06,511:INFO:Plot type: feature
- 2022-01-17 14:26:06,511:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:26:06,589:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:06,663:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:08,431:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:26:08,432:INFO:Checking exceptions
- 2022-01-17 14:26:08,432:INFO:Preparing display monitor
- 2022-01-17 14:26:08,436:INFO:Preloading libraries
- 2022-01-17 14:26:08,437:INFO:Copying training dataset
- 2022-01-17 14:26:08,437:INFO:Copying test dataset
- 2022-01-17 14:26:08,438:INFO:Plot type: feature_all
- 2022-01-17 14:26:08,438:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:26:08,609:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:08,687:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:39,249:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:39,250:INFO:Checking exceptions
- 2022-01-17 14:26:39,250:INFO:Preparing display monitor
- 2022-01-17 14:26:39,254:INFO:Preloading libraries
- 2022-01-17 14:26:39,255:INFO:Copying training dataset
- 2022-01-17 14:26:39,256:INFO:Copying test dataset
- 2022-01-17 14:26:39,256:INFO:Plot type: boundary
- 2022-01-17 14:26:39,259:INFO:Fitting StandardScaler()
- 2022-01-17 14:26:39,268:INFO:Fitting PCA()
- 2022-01-17 14:26:39,349:INFO:Initializing get_config()
- 2022-01-17 14:26:39,350:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:26:39,355:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:26:39,360:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:26:39,361:INFO:Fitting Model
- 2022-01-17 14:26:40,158:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:40,263:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:43,961:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:43,961:INFO:Checking exceptions
- 2022-01-17 14:26:43,962:INFO:Preparing display monitor
- 2022-01-17 14:26:43,966:INFO:Preloading libraries
- 2022-01-17 14:26:43,967:INFO:Copying training dataset
- 2022-01-17 14:26:43,968:INFO:Copying test dataset
- 2022-01-17 14:26:43,968:INFO:Plot type: lift
- 2022-01-17 14:26:43,969:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 14:26:44,060:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:44,134:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:50,029:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:50,030:INFO:Checking exceptions
- 2022-01-17 14:26:50,030:INFO:Preparing display monitor
- 2022-01-17 14:26:50,034:INFO:Preloading libraries
- 2022-01-17 14:26:50,035:INFO:Copying training dataset
- 2022-01-17 14:26:50,035:INFO:Copying test dataset
- 2022-01-17 14:26:50,036:INFO:Plot type: ks
- 2022-01-17 14:26:50,037:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 14:26:50,141:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:50,216:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:54,074:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:54,075:INFO:Checking exceptions
- 2022-01-17 14:26:54,076:INFO:Preparing display monitor
- 2022-01-17 14:26:54,079:INFO:Preloading libraries
- 2022-01-17 14:26:54,080:INFO:Copying training dataset
- 2022-01-17 14:26:54,081:INFO:Copying test dataset
- 2022-01-17 14:26:54,081:INFO:Plot type: tree
- 2022-01-17 14:26:54,091:INFO:Plotting decision trees
- 2022-01-17 14:26:54,092:INFO:Plotting tree 0
- 2022-01-17 14:27:09,443:INFO:Visual Rendered Successfully
- 2022-01-17 14:27:09,530:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:27:09,544:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:27:09,544:INFO:Checking exceptions
- 2022-01-17 14:27:09,545:INFO:Preparing display monitor
- 2022-01-17 14:27:09,549:INFO:Preloading libraries
- 2022-01-17 14:27:09,550:INFO:Copying training dataset
- 2022-01-17 14:27:09,550:INFO:Copying test dataset
- 2022-01-17 14:27:09,550:INFO:Plot type: boundary
- 2022-01-17 14:27:09,553:INFO:Fitting StandardScaler()
- 2022-01-17 14:27:09,561:INFO:Fitting PCA()
- 2022-01-17 14:27:09,602:INFO:Initializing get_config()
- 2022-01-17 14:27:09,602:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:27:09,607:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:27:09,607:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:27:09,608:INFO:Fitting Model
- 2022-01-17 14:27:10,407:INFO:Visual Rendered Successfully
- 2022-01-17 14:27:10,518:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:27:11,486:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:27:11,486:INFO:Checking exceptions
- 2022-01-17 14:27:11,487:INFO:Preparing display monitor
- 2022-01-17 14:27:11,491:INFO:Preloading libraries
- 2022-01-17 14:27:11,491:INFO:Copying training dataset
- 2022-01-17 14:27:11,492:INFO:Copying test dataset
- 2022-01-17 14:27:11,492:INFO:Plot type: tree
- 2022-01-17 14:27:11,503:INFO:Plotting decision trees
- 2022-01-17 14:27:11,503:INFO:Plotting tree 0
- 2022-01-17 14:27:26,819:INFO:Visual Rendered Successfully
- 2022-01-17 14:27:26,898:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:39:43,027:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:39:43,027:INFO:Checking exceptions
- 2022-01-17 14:39:43,028:INFO:Preparing display monitor
- 2022-01-17 14:39:43,032:INFO:Preloading libraries
- 2022-01-17 14:39:43,033:INFO:Copying training dataset
- 2022-01-17 14:39:43,034:INFO:Copying test dataset
- 2022-01-17 14:39:43,034:INFO:Plot type: confusion_matrix
- 2022-01-17 14:39:43,035:INFO:Initializing get_config()
- 2022-01-17 14:39:43,035:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:39:43,038:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:39:43,038:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:39:43,039:INFO:Fitting Model
- 2022-01-17 14:39:43,040:INFO:Scoring test/hold-out set
- 2022-01-17 14:39:43,111:INFO:Visual Rendered Successfully
- 2022-01-17 14:39:43,193:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:42:54,885:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:42:54,886:INFO:Checking exceptions
- 2022-01-17 14:42:54,887:INFO:Preparing display monitor
- 2022-01-17 14:42:54,890:INFO:Preloading libraries
- 2022-01-17 14:42:54,891:INFO:Copying training dataset
- 2022-01-17 14:42:54,892:INFO:Copying test dataset
- 2022-01-17 14:42:54,892:INFO:Plot type: class_report
- 2022-01-17 14:42:54,893:INFO:Initializing get_config()
- 2022-01-17 14:42:54,893:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:42:54,896:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:42:54,896:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:42:54,897:INFO:Fitting Model
- 2022-01-17 14:42:54,897:INFO:Scoring test/hold-out set
- 2022-01-17 14:42:55,006:INFO:Visual Rendered Successfully
- 2022-01-17 14:42:55,073:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:52:11,844:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:52:11,844:INFO:Checking exceptions
- 2022-01-17 14:52:11,845:INFO:Preparing display monitor
- 2022-01-17 14:52:11,849:INFO:Preloading libraries
- 2022-01-17 14:52:11,850:INFO:Copying training dataset
- 2022-01-17 14:52:11,851:INFO:Copying test dataset
- 2022-01-17 14:52:11,851:INFO:Plot type: feature
- 2022-01-17 14:52:11,852:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:52:11,925:INFO:Visual Rendered Successfully
- 2022-01-17 14:52:12,001:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:25:30,496:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:25:30,496:INFO:Checking exceptions
- 2022-01-17 15:25:30,497:INFO:Preparing display monitor
- 2022-01-17 15:25:30,501:INFO:Preloading libraries
- 2022-01-17 15:25:30,502:INFO:Copying training dataset
- 2022-01-17 15:25:30,502:INFO:Copying test dataset
- 2022-01-17 15:25:30,502:INFO:Plot type: parameter
- 2022-01-17 15:25:30,506:INFO:Visual Rendered Successfully
- 2022-01-17 15:25:30,583:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:25:38,490:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:25:38,491:INFO:Checking exceptions
- 2022-01-17 15:25:38,492:INFO:Preparing display monitor
- 2022-01-17 15:25:38,495:INFO:Preloading libraries
- 2022-01-17 15:25:38,496:INFO:Copying training dataset
- 2022-01-17 15:25:38,497:INFO:Copying test dataset
- 2022-01-17 15:25:38,497:INFO:Plot type: feature
- 2022-01-17 15:25:38,498:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 15:25:38,574:INFO:Visual Rendered Successfully
- 2022-01-17 15:25:38,652:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:25:42,961:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 15:25:42,962:INFO:Checking exceptions
- 2022-01-17 15:25:42,963:INFO:Preparing display monitor
- 2022-01-17 15:25:42,966:INFO:Preloading libraries
- 2022-01-17 15:25:42,967:INFO:Copying training dataset
- 2022-01-17 15:25:42,967:INFO:Copying test dataset
- 2022-01-17 15:25:42,968:INFO:Plot type: feature_all
- 2022-01-17 15:25:42,969:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 15:25:43,129:INFO:Visual Rendered Successfully
- 2022-01-17 15:25:43,205:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:34:27,571:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 15:34:27,572:INFO:Checking exceptions
- 2022-01-17 15:34:27,572:INFO:Preparing display monitor
- 2022-01-17 15:34:27,576:INFO:Preloading libraries
- 2022-01-17 15:34:27,577:INFO:Copying training dataset
- 2022-01-17 15:34:27,577:INFO:Copying test dataset
- 2022-01-17 15:34:27,578:INFO:Plot type: confusion_matrix
- 2022-01-17 15:34:27,578:INFO:Initializing get_config()
- 2022-01-17 15:34:27,579:INFO:get_config(variable=prep_pipe)
- 2022-01-17 15:34:27,581:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 15:34:27,582:INFO:get_config() succesfully completed......................................
- 2022-01-17 15:34:27,582:INFO:Fitting Model
- 2022-01-17 15:34:27,583:INFO:Scoring test/hold-out set
- 2022-01-17 15:34:27,648:INFO:Visual Rendered Successfully
- 2022-01-17 15:34:27,724:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:34:53,720:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:34:53,720:INFO:Checking exceptions
- 2022-01-17 15:34:53,721:INFO:Preparing display monitor
- 2022-01-17 15:34:53,724:INFO:Preloading libraries
- 2022-01-17 15:34:53,725:INFO:Copying training dataset
- 2022-01-17 15:34:53,726:INFO:Copying test dataset
- 2022-01-17 15:34:53,726:INFO:Plot type: pr
- 2022-01-17 15:34:53,727:INFO:Fitting Model
- 2022-01-17 15:34:53,728:INFO:Scoring test/hold-out set
- 2022-01-17 15:34:53,808:INFO:Visual Rendered Successfully
- 2022-01-17 15:34:53,880:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:34:57,619:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:34:57,619:INFO:Checking exceptions
- 2022-01-17 15:34:57,620:INFO:Preparing display monitor
- 2022-01-17 15:34:57,624:INFO:Preloading libraries
- 2022-01-17 15:34:57,625:INFO:Copying training dataset
- 2022-01-17 15:34:57,626:INFO:Copying test dataset
- 2022-01-17 15:34:57,626:INFO:Plot type: auc
- 2022-01-17 15:34:57,627:INFO:Initializing get_config()
- 2022-01-17 15:34:57,627:INFO:get_config(variable=prep_pipe)
- 2022-01-17 15:34:57,630:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 15:34:57,630:INFO:get_config() succesfully completed......................................
- 2022-01-17 15:34:57,631:INFO:Fitting Model
- 2022-01-17 15:34:57,632:INFO:Scoring test/hold-out set
- 2022-01-17 15:34:57,724:INFO:Visual Rendered Successfully
- 2022-01-17 15:34:57,795:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:35:41,997:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:35:41,997:INFO:Checking exceptions
- 2022-01-17 15:35:41,998:INFO:Preparing display monitor
- 2022-01-17 15:35:42,001:INFO:Preloading libraries
- 2022-01-17 15:35:42,002:INFO:Copying training dataset
- 2022-01-17 15:35:42,003:INFO:Copying test dataset
- 2022-01-17 15:35:42,003:INFO:Plot type: feature
- 2022-01-17 15:35:42,004:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 15:35:42,081:INFO:Visual Rendered Successfully
- 2022-01-17 15:35:42,156:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:36:22,164:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:36:22,164:INFO:Checking exceptions
- 2022-01-17 15:36:22,165:INFO:Preparing display monitor
- 2022-01-17 15:36:22,169:INFO:Preloading libraries
- 2022-01-17 15:36:22,170:INFO:Copying training dataset
- 2022-01-17 15:36:22,171:INFO:Copying test dataset
- 2022-01-17 15:36:22,171:INFO:Plot type: tree
- 2022-01-17 15:36:22,181:INFO:Plotting decision trees
- 2022-01-17 15:36:22,181:INFO:Plotting tree 0
- 2022-01-17 15:36:37,267:INFO:Visual Rendered Successfully
- 2022-01-17 15:36:37,358:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:05:47,165:INFO:PyCaret Supervised Module
- 2022-01-17 16:05:47,165:INFO:ML Usecase: classification
- 2022-01-17 16:05:47,165:INFO:version 2.3.6
- 2022-01-17 16:05:47,165:INFO:Initializing setup()
- 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)
- 2022-01-17 16:05:47,165:INFO:Checking environment
- 2022-01-17 16:05:47,166:INFO:python_version: 3.8.8
- 2022-01-17 16:05:47,166:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 16:05:47,166:INFO:machine: x86_64
- 2022-01-17 16:05:47,166:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 16:05:47,167:INFO:Physical Core: 16
- 2022-01-17 16:05:47,167:INFO:Logical Core: 32
- 2022-01-17 16:05:47,167:INFO:Checking libraries
- 2022-01-17 16:05:47,167:INFO:pd==1.2.4
- 2022-01-17 16:05:47,167:INFO:numpy==1.19.5
- 2022-01-17 16:05:47,168:INFO:sklearn==0.23.2
- 2022-01-17 16:05:47,168:INFO:lightgbm==3.3.2
- 2022-01-17 16:05:47,168:WARNING:catboost not found
- 2022-01-17 16:05:47,169:WARNING:xgboost not found
- 2022-01-17 16:05:47,287:INFO:mlflow==1.22.0
- 2022-01-17 16:05:47,288:INFO:Checking Exceptions
- 2022-01-17 16:05:47,288:INFO:Declaring global variables
- 2022-01-17 16:05:47,289:INFO:USI: 95c8
- 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'}
- 2022-01-17 16:05:47,289:INFO:Preparing display monitor
- 2022-01-17 16:05:47,289:INFO:Preparing display monitor
- 2022-01-17 16:05:47,298:INFO:Importing libraries
- 2022-01-17 16:05:47,299:INFO:Copying data for preprocessing
- 2022-01-17 16:05:47,304:INFO:Declaring preprocessing parameters
- 2022-01-17 16:05:47,304:WARNING:cuML not found
- 2022-01-17 16:05:47,305:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 16:05:47,307:INFO:Creating preprocessing pipeline
- 2022-01-17 16:05:47,333:INFO:Preprocessing pipeline created successfully
- 2022-01-17 16:05:47,334:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 16:05:47,334:INFO:Creating global containers
- 2022-01-17 16:05:47,334:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 16:06:03,093:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:06:03,120:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:06:03,121:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:06:03,122:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:06:03,137:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:06:03,140:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:06:03,142:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:06:03,147:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:06:03,148:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:06:03,177:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:06:03,177:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:06:03,178:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:06:03,192:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:06:03,195:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:06:03,196:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:06:03,200:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:06:03,201:INFO:Creating grid variables
- 2022-01-17 16:06:03,212:INFO:create_model_container: 0
- 2022-01-17 16:06:03,213:INFO:master_model_container: 0
- 2022-01-17 16:06:03,213:INFO:display_container: 1
- 2022-01-17 16:06:03,216:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:06:03,216:INFO:setup() succesfully completed......................................
- 2022-01-17 16:06:14,364:INFO:Initializing compare_models()
- 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)
- 2022-01-17 16:06:14,364:INFO:Checking exceptions
- 2022-01-17 16:06:14,365:INFO:Preparing display monitor
- 2022-01-17 16:06:14,366:INFO:Preparing display monitor
- 2022-01-17 16:06:14,382:INFO:Initializing Logistic Regression
- 2022-01-17 16:06:14,383:INFO:Total runtime is 5.551179250081381e-06 minutes
- 2022-01-17 16:06:14,388:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:14,388:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:14,388:INFO:Checking exceptions
- 2022-01-17 16:06:14,389:INFO:Importing libraries
- 2022-01-17 16:06:14,389:INFO:Copying training dataset
- 2022-01-17 16:06:14,390:INFO:Defining folds
- 2022-01-17 16:06:14,390:INFO:Declaring metric variables
- 2022-01-17 16:06:14,395:INFO:Importing untrained model
- 2022-01-17 16:06:14,400:INFO:Logistic Regression Imported succesfully
- 2022-01-17 16:06:14,410:INFO:Starting cross validation
- 2022-01-17 16:06:14,411:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:19,206:INFO:Calculating mean and std
- 2022-01-17 16:06:19,210:INFO:Creating metrics dataframe
- 2022-01-17 16:06:19,217:INFO:Uploading results into container
- 2022-01-17 16:06:19,217:INFO:Uploading model into container now
- 2022-01-17 16:06:19,218:INFO:create_model_container: 1
- 2022-01-17 16:06:19,218:INFO:master_model_container: 1
- 2022-01-17 16:06:19,218:INFO:display_container: 2
- 2022-01-17 16:06:19,219:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=2572, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 16:06:19,219:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:19,300:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:19,300:INFO:Creating metrics dataframe
- 2022-01-17 16:06:19,309:INFO:Initializing K Neighbors Classifier
- 2022-01-17 16:06:19,309:INFO:Total runtime is 0.08211646477381389 minutes
- 2022-01-17 16:06:19,314:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:19,315:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:19,315:INFO:Checking exceptions
- 2022-01-17 16:06:19,315:INFO:Importing libraries
- 2022-01-17 16:06:19,315:INFO:Copying training dataset
- 2022-01-17 16:06:19,316:INFO:Defining folds
- 2022-01-17 16:06:19,317:INFO:Declaring metric variables
- 2022-01-17 16:06:19,321:INFO:Importing untrained model
- 2022-01-17 16:06:19,326:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 16:06:19,336:INFO:Starting cross validation
- 2022-01-17 16:06:19,337:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:28,500:INFO:Calculating mean and std
- 2022-01-17 16:06:28,501:INFO:Creating metrics dataframe
- 2022-01-17 16:06:28,504:INFO:Uploading results into container
- 2022-01-17 16:06:28,505:INFO:Uploading model into container now
- 2022-01-17 16:06:28,505:INFO:create_model_container: 2
- 2022-01-17 16:06:28,505:INFO:master_model_container: 2
- 2022-01-17 16:06:28,505:INFO:display_container: 2
- 2022-01-17 16:06:28,505:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 16:06:28,505:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:28,583:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:28,584:INFO:Creating metrics dataframe
- 2022-01-17 16:06:28,595:INFO:Initializing Naive Bayes
- 2022-01-17 16:06:28,595:INFO:Total runtime is 0.23687418699264529 minutes
- 2022-01-17 16:06:28,600:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:28,600:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:28,601:INFO:Checking exceptions
- 2022-01-17 16:06:28,601:INFO:Importing libraries
- 2022-01-17 16:06:28,601:INFO:Copying training dataset
- 2022-01-17 16:06:28,602:INFO:Defining folds
- 2022-01-17 16:06:28,602:INFO:Declaring metric variables
- 2022-01-17 16:06:28,607:INFO:Importing untrained model
- 2022-01-17 16:06:28,612:INFO:Naive Bayes Imported succesfully
- 2022-01-17 16:06:28,622:INFO:Starting cross validation
- 2022-01-17 16:06:28,622:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:28,788:INFO:Calculating mean and std
- 2022-01-17 16:06:28,789:INFO:Creating metrics dataframe
- 2022-01-17 16:06:28,791:INFO:Uploading results into container
- 2022-01-17 16:06:28,792:INFO:Uploading model into container now
- 2022-01-17 16:06:28,792:INFO:create_model_container: 3
- 2022-01-17 16:06:28,792:INFO:master_model_container: 3
- 2022-01-17 16:06:28,792:INFO:display_container: 2
- 2022-01-17 16:06:28,792:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 16:06:28,793:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:28,860:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:28,860:INFO:Creating metrics dataframe
- 2022-01-17 16:06:28,871:INFO:Initializing Decision Tree Classifier
- 2022-01-17 16:06:28,872:INFO:Total runtime is 0.241489048798879 minutes
- 2022-01-17 16:06:28,877:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:28,878:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:28,878:INFO:Checking exceptions
- 2022-01-17 16:06:28,878:INFO:Importing libraries
- 2022-01-17 16:06:28,878:INFO:Copying training dataset
- 2022-01-17 16:06:28,879:INFO:Defining folds
- 2022-01-17 16:06:28,879:INFO:Declaring metric variables
- 2022-01-17 16:06:28,884:INFO:Importing untrained model
- 2022-01-17 16:06:28,889:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:06:28,899:INFO:Starting cross validation
- 2022-01-17 16:06:28,900:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:29,472:INFO:Calculating mean and std
- 2022-01-17 16:06:29,473:INFO:Creating metrics dataframe
- 2022-01-17 16:06:29,476:INFO:Uploading results into container
- 2022-01-17 16:06:29,476:INFO:Uploading model into container now
- 2022-01-17 16:06:29,476:INFO:create_model_container: 4
- 2022-01-17 16:06:29,476:INFO:master_model_container: 4
- 2022-01-17 16:06:29,477:INFO:display_container: 2
- 2022-01-17 16:06:29,477:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best')
- 2022-01-17 16:06:29,477:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:29,543:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:29,543:INFO:Creating metrics dataframe
- 2022-01-17 16:06:29,555:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 16:06:29,555:INFO:Total runtime is 0.25287699699401855 minutes
- 2022-01-17 16:06:29,560:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:29,561:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:29,561:INFO:Checking exceptions
- 2022-01-17 16:06:29,561:INFO:Importing libraries
- 2022-01-17 16:06:29,562:INFO:Copying training dataset
- 2022-01-17 16:06:29,563:INFO:Defining folds
- 2022-01-17 16:06:29,563:INFO:Declaring metric variables
- 2022-01-17 16:06:29,567:INFO:Importing untrained model
- 2022-01-17 16:06:29,572:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 16:06:29,582:INFO:Starting cross validation
- 2022-01-17 16:06:29,583:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:30,453:INFO:Calculating mean and std
- 2022-01-17 16:06:30,455:INFO:Creating metrics dataframe
- 2022-01-17 16:06:30,458:INFO:Uploading results into container
- 2022-01-17 16:06:30,459:INFO:Uploading model into container now
- 2022-01-17 16:06:30,459:INFO:create_model_container: 5
- 2022-01-17 16:06:30,459:INFO:master_model_container: 5
- 2022-01-17 16:06:30,460:INFO:display_container: 2
- 2022-01-17 16:06:30,466:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=2572, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 16:06:30,466:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:30,549:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:30,550:INFO:Creating metrics dataframe
- 2022-01-17 16:06:30,562:INFO:Initializing Ridge Classifier
- 2022-01-17 16:06:30,562:INFO:Total runtime is 0.26966045300165814 minutes
- 2022-01-17 16:06:30,567:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:30,567:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:30,568:INFO:Checking exceptions
- 2022-01-17 16:06:30,568:INFO:Importing libraries
- 2022-01-17 16:06:30,568:INFO:Copying training dataset
- 2022-01-17 16:06:30,569:INFO:Defining folds
- 2022-01-17 16:06:30,569:INFO:Declaring metric variables
- 2022-01-17 16:06:30,574:INFO:Importing untrained model
- 2022-01-17 16:06:30,578:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 16:06:30,589:INFO:Starting cross validation
- 2022-01-17 16:06:30,589:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:30,942:INFO:Calculating mean and std
- 2022-01-17 16:06:30,943:INFO:Creating metrics dataframe
- 2022-01-17 16:06:30,947:INFO:Uploading results into container
- 2022-01-17 16:06:30,947:INFO:Uploading model into container now
- 2022-01-17 16:06:30,947:INFO:create_model_container: 6
- 2022-01-17 16:06:30,947:INFO:master_model_container: 6
- 2022-01-17 16:06:30,948:INFO:display_container: 2
- 2022-01-17 16:06:30,948:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=2572,
- solver='auto', tol=0.001)
- 2022-01-17 16:06:30,948:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:31,054:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:31,054:INFO:Creating metrics dataframe
- 2022-01-17 16:06:31,066:INFO:Initializing Random Forest Classifier
- 2022-01-17 16:06:31,067:INFO:Total runtime is 0.27807333072026574 minutes
- 2022-01-17 16:06:31,072:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:31,072:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:31,073:INFO:Checking exceptions
- 2022-01-17 16:06:31,073:INFO:Importing libraries
- 2022-01-17 16:06:31,073:INFO:Copying training dataset
- 2022-01-17 16:06:31,074:INFO:Defining folds
- 2022-01-17 16:06:31,074:INFO:Declaring metric variables
- 2022-01-17 16:06:31,079:INFO:Importing untrained model
- 2022-01-17 16:06:31,084:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:06:31,094:INFO:Starting cross validation
- 2022-01-17 16:06:31,094:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:37,143:INFO:Calculating mean and std
- 2022-01-17 16:06:37,144:INFO:Creating metrics dataframe
- 2022-01-17 16:06:37,147:INFO:Uploading results into container
- 2022-01-17 16:06:37,147:INFO:Uploading model into container now
- 2022-01-17 16:06:37,147:INFO:create_model_container: 7
- 2022-01-17 16:06:37,147:INFO:master_model_container: 7
- 2022-01-17 16:06:37,147:INFO:display_container: 2
- 2022-01-17 16:06:37,148:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
- warm_start=False)
- 2022-01-17 16:06:37,148:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:37,216:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:37,217:INFO:Creating metrics dataframe
- 2022-01-17 16:06:37,228:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 16:06:37,229:INFO:Total runtime is 0.3807707866032919 minutes
- 2022-01-17 16:06:37,234:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:37,235:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:37,235:INFO:Checking exceptions
- 2022-01-17 16:06:37,235:INFO:Importing libraries
- 2022-01-17 16:06:37,235:INFO:Copying training dataset
- 2022-01-17 16:06:37,236:INFO:Defining folds
- 2022-01-17 16:06:37,236:INFO:Declaring metric variables
- 2022-01-17 16:06:37,241:INFO:Importing untrained model
- 2022-01-17 16:06:37,246:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 16:06:37,256:INFO:Starting cross validation
- 2022-01-17 16:06:37,257:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:37,770:INFO:Calculating mean and std
- 2022-01-17 16:06:37,771:INFO:Creating metrics dataframe
- 2022-01-17 16:06:37,778:INFO:Uploading results into container
- 2022-01-17 16:06:37,778:INFO:Uploading model into container now
- 2022-01-17 16:06:37,780:INFO:create_model_container: 8
- 2022-01-17 16:06:37,781:INFO:master_model_container: 8
- 2022-01-17 16:06:37,781:INFO:display_container: 2
- 2022-01-17 16:06:37,782:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 16:06:37,782:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:37,865:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:37,865:INFO:Creating metrics dataframe
- 2022-01-17 16:06:37,877:INFO:Initializing Ada Boost Classifier
- 2022-01-17 16:06:37,878:INFO:Total runtime is 0.39158812761306766 minutes
- 2022-01-17 16:06:37,883:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:37,884:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:37,884:INFO:Checking exceptions
- 2022-01-17 16:06:37,884:INFO:Importing libraries
- 2022-01-17 16:06:37,885:INFO:Copying training dataset
- 2022-01-17 16:06:37,886:INFO:Defining folds
- 2022-01-17 16:06:37,886:INFO:Declaring metric variables
- 2022-01-17 16:06:37,891:INFO:Importing untrained model
- 2022-01-17 16:06:37,897:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 16:06:37,909:INFO:Starting cross validation
- 2022-01-17 16:06:37,910:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:42,135:INFO:Calculating mean and std
- 2022-01-17 16:06:42,136:INFO:Creating metrics dataframe
- 2022-01-17 16:06:42,139:INFO:Uploading results into container
- 2022-01-17 16:06:42,139:INFO:Uploading model into container now
- 2022-01-17 16:06:42,139:INFO:create_model_container: 9
- 2022-01-17 16:06:42,139:INFO:master_model_container: 9
- 2022-01-17 16:06:42,139:INFO:display_container: 2
- 2022-01-17 16:06:42,140:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=2572)
- 2022-01-17 16:06:42,140:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:42,215:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:42,215:INFO:Creating metrics dataframe
- 2022-01-17 16:06:42,228:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 16:06:42,228:INFO:Total runtime is 0.4641005595525106 minutes
- 2022-01-17 16:06:42,234:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:42,234:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:42,234:INFO:Checking exceptions
- 2022-01-17 16:06:42,234:INFO:Importing libraries
- 2022-01-17 16:06:42,235:INFO:Copying training dataset
- 2022-01-17 16:06:42,236:INFO:Defining folds
- 2022-01-17 16:06:42,236:INFO:Declaring metric variables
- 2022-01-17 16:06:42,240:INFO:Importing untrained model
- 2022-01-17 16:06:42,246:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 16:06:42,255:INFO:Starting cross validation
- 2022-01-17 16:06:42,256:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:55,382:INFO:Calculating mean and std
- 2022-01-17 16:06:55,383:INFO:Creating metrics dataframe
- 2022-01-17 16:06:55,386:INFO:Uploading results into container
- 2022-01-17 16:06:55,386:INFO:Uploading model into container now
- 2022-01-17 16:06:55,386:INFO:create_model_container: 10
- 2022-01-17 16:06:55,386:INFO:master_model_container: 10
- 2022-01-17 16:06:55,386:INFO:display_container: 2
- 2022-01-17 16:06:55,387:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=2572, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 16:06:55,387:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:55,453:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:55,453:INFO:Creating metrics dataframe
- 2022-01-17 16:06:55,466:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 16:06:55,466:INFO:Total runtime is 0.68473326365153 minutes
- 2022-01-17 16:06:55,472:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:55,472:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:55,472:INFO:Checking exceptions
- 2022-01-17 16:06:55,473:INFO:Importing libraries
- 2022-01-17 16:06:55,473:INFO:Copying training dataset
- 2022-01-17 16:06:55,474:INFO:Defining folds
- 2022-01-17 16:06:55,474:INFO:Declaring metric variables
- 2022-01-17 16:06:55,479:INFO:Importing untrained model
- 2022-01-17 16:06:55,484:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 16:06:55,494:INFO:Starting cross validation
- 2022-01-17 16:06:55,495:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:56,723:INFO:Calculating mean and std
- 2022-01-17 16:06:56,727:INFO:Creating metrics dataframe
- 2022-01-17 16:06:56,732:INFO:Uploading results into container
- 2022-01-17 16:06:56,732:INFO:Uploading model into container now
- 2022-01-17 16:06:56,732:INFO:create_model_container: 11
- 2022-01-17 16:06:56,733:INFO:master_model_container: 11
- 2022-01-17 16:06:56,733:INFO:display_container: 2
- 2022-01-17 16:06:56,733:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 16:06:56,733:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:56,827:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:56,828:INFO:Creating metrics dataframe
- 2022-01-17 16:06:56,840:INFO:Initializing Extra Trees Classifier
- 2022-01-17 16:06:56,841:INFO:Total runtime is 0.7076396306355794 minutes
- 2022-01-17 16:06:56,846:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:56,846:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:56,847:INFO:Checking exceptions
- 2022-01-17 16:06:56,847:INFO:Importing libraries
- 2022-01-17 16:06:56,847:INFO:Copying training dataset
- 2022-01-17 16:06:56,848:INFO:Defining folds
- 2022-01-17 16:06:56,848:INFO:Declaring metric variables
- 2022-01-17 16:06:56,853:INFO:Importing untrained model
- 2022-01-17 16:06:56,858:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 16:06:56,868:INFO:Starting cross validation
- 2022-01-17 16:06:56,868:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:07:02,994:INFO:Calculating mean and std
- 2022-01-17 16:07:02,995:INFO:Creating metrics dataframe
- 2022-01-17 16:07:02,998:INFO:Uploading results into container
- 2022-01-17 16:07:02,998:INFO:Uploading model into container now
- 2022-01-17 16:07:02,998:INFO:create_model_container: 12
- 2022-01-17 16:07:02,998:INFO:master_model_container: 12
- 2022-01-17 16:07:02,998:INFO:display_container: 2
- 2022-01-17 16:07:02,999:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2572, verbose=0,
- warm_start=False)
- 2022-01-17 16:07:02,999:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:07:03,071:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:07:03,072:INFO:Creating metrics dataframe
- 2022-01-17 16:07:03,085:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 16:07:03,085:INFO:Total runtime is 0.8117074847221375 minutes
- 2022-01-17 16:07:03,090:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:07:03,090:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:07:03,091:INFO:Checking exceptions
- 2022-01-17 16:07:03,091:INFO:Importing libraries
- 2022-01-17 16:07:03,091:INFO:Copying training dataset
- 2022-01-17 16:07:03,092:INFO:Defining folds
- 2022-01-17 16:07:03,093:INFO:Declaring metric variables
- 2022-01-17 16:07:03,098:INFO:Importing untrained model
- 2022-01-17 16:07:03,103:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 16:07:03,113:INFO:Starting cross validation
- 2022-01-17 16:07:03,114:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:07:05,386:INFO:Calculating mean and std
- 2022-01-17 16:07:05,387:INFO:Creating metrics dataframe
- 2022-01-17 16:07:05,390:INFO:Uploading results into container
- 2022-01-17 16:07:05,390:INFO:Uploading model into container now
- 2022-01-17 16:07:05,390:INFO:create_model_container: 13
- 2022-01-17 16:07:05,390:INFO:master_model_container: 13
- 2022-01-17 16:07:05,390:INFO:display_container: 2
- 2022-01-17 16:07:05,391:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=2572, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 16:07:05,391:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:07:05,458:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:07:05,459:INFO:Creating metrics dataframe
- 2022-01-17 16:07:05,472:INFO:Initializing Dummy Classifier
- 2022-01-17 16:07:05,472:INFO:Total runtime is 0.851492468516032 minutes
- 2022-01-17 16:07:05,478:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:07:05,478:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:07:05,478:INFO:Checking exceptions
- 2022-01-17 16:07:05,478:INFO:Importing libraries
- 2022-01-17 16:07:05,479:INFO:Copying training dataset
- 2022-01-17 16:07:05,480:INFO:Defining folds
- 2022-01-17 16:07:05,480:INFO:Declaring metric variables
- 2022-01-17 16:07:05,484:INFO:Importing untrained model
- 2022-01-17 16:07:05,489:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 16:07:05,499:INFO:Starting cross validation
- 2022-01-17 16:07:05,500:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:07:05,587:INFO:Calculating mean and std
- 2022-01-17 16:07:05,587:INFO:Creating metrics dataframe
- 2022-01-17 16:07:05,590:INFO:Uploading results into container
- 2022-01-17 16:07:05,590:INFO:Uploading model into container now
- 2022-01-17 16:07:05,590:INFO:create_model_container: 14
- 2022-01-17 16:07:05,590:INFO:master_model_container: 14
- 2022-01-17 16:07:05,590:INFO:display_container: 2
- 2022-01-17 16:07:05,591:INFO:DummyClassifier(constant=None, random_state=2572, strategy='prior')
- 2022-01-17 16:07:05,591:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:07:05,656:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:07:05,656:INFO:Creating metrics dataframe
- 2022-01-17 16:07:05,683:INFO:Initializing create_model()
- 2022-01-17 16:07:05,684:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
- 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={})
- 2022-01-17 16:07:05,684:INFO:Checking exceptions
- 2022-01-17 16:07:05,684:INFO:Importing libraries
- 2022-01-17 16:07:05,684:INFO:Copying training dataset
- 2022-01-17 16:07:05,685:INFO:Defining folds
- 2022-01-17 16:07:05,685:INFO:Declaring metric variables
- 2022-01-17 16:07:05,685:INFO:Importing untrained model
- 2022-01-17 16:07:05,685:INFO:Declaring custom model
- 2022-01-17 16:07:05,686:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:07:05,686:INFO:Cross validation set to False
- 2022-01-17 16:07:05,686:INFO:Fitting Model
- 2022-01-17 16:07:06,011:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
- warm_start=False)
- 2022-01-17 16:07:06,012:INFO:create_models() succesfully completed......................................
- 2022-01-17 16:07:06,114:INFO:create_model_container: 14
- 2022-01-17 16:07:06,114:INFO:master_model_container: 14
- 2022-01-17 16:07:06,114:INFO:display_container: 2
- 2022-01-17 16:07:06,115:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
- warm_start=False)
- 2022-01-17 16:07:06,115:INFO:compare_models() succesfully completed......................................
- 2022-01-17 16:07:30,718:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:07:30,719:INFO:Checking exceptions
- 2022-01-17 16:07:30,719:INFO:Preparing display monitor
- 2022-01-17 16:07:30,730:INFO:Importing libraries
- 2022-01-17 16:07:30,730:INFO:Copying training dataset
- 2022-01-17 16:07:30,731:INFO:Defining folds
- 2022-01-17 16:07:30,731:INFO:Declaring metric variables
- 2022-01-17 16:07:30,736:INFO:Importing untrained model
- 2022-01-17 16:07:30,741:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:07:30,752:INFO:Starting cross validation
- 2022-01-17 16:07:30,752:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:07:31,324:INFO:Calculating mean and std
- 2022-01-17 16:07:31,325:INFO:Creating metrics dataframe
- 2022-01-17 16:07:31,332:INFO:Finalizing model
- 2022-01-17 16:07:31,386:INFO:Uploading results into container
- 2022-01-17 16:07:31,386:INFO:Uploading model into container now
- 2022-01-17 16:07:31,397:INFO:create_model_container: 15
- 2022-01-17 16:07:31,397:INFO:master_model_container: 15
- 2022-01-17 16:07:31,397:INFO:display_container: 3
- 2022-01-17 16:07:31,397:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best')
- 2022-01-17 16:07:31,398:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:08:27,484:INFO:Initializing evaluate_model()
- 2022-01-17 16:08:27,484:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:08:27,496:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:08:27,497:INFO:Checking exceptions
- 2022-01-17 16:08:27,498:INFO:Preparing display monitor
- 2022-01-17 16:08:27,502:INFO:Preloading libraries
- 2022-01-17 16:08:27,503:INFO:Copying training dataset
- 2022-01-17 16:08:27,503:INFO:Copying test dataset
- 2022-01-17 16:08:27,504:INFO:Plot type: parameter
- 2022-01-17 16:08:27,508:INFO:Visual Rendered Successfully
- 2022-01-17 16:08:27,581:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:08:34,477:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:08:34,478:INFO:Checking exceptions
- 2022-01-17 16:08:34,478:INFO:Preparing display monitor
- 2022-01-17 16:08:34,482:INFO:Preloading libraries
- 2022-01-17 16:08:34,483:INFO:Copying training dataset
- 2022-01-17 16:08:34,484:INFO:Copying test dataset
- 2022-01-17 16:08:34,484:INFO:Plot type: auc
- 2022-01-17 16:08:34,485:INFO:Initializing get_config()
- 2022-01-17 16:08:34,485:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:08:34,488:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:08:34,489:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:08:34,489:INFO:Fitting Model
- 2022-01-17 16:08:34,491:INFO:Scoring test/hold-out set
- 2022-01-17 16:08:34,605:INFO:Visual Rendered Successfully
- 2022-01-17 16:08:34,676:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:08:37,545:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:08:37,546:INFO:Checking exceptions
- 2022-01-17 16:08:37,547:INFO:Preparing display monitor
- 2022-01-17 16:08:37,550:INFO:Preloading libraries
- 2022-01-17 16:08:37,551:INFO:Copying training dataset
- 2022-01-17 16:08:37,552:INFO:Copying test dataset
- 2022-01-17 16:08:37,552:INFO:Plot type: confusion_matrix
- 2022-01-17 16:08:37,553:INFO:Initializing get_config()
- 2022-01-17 16:08:37,553:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:08:37,557:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:08:37,557:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:08:37,557:INFO:Fitting Model
- 2022-01-17 16:08:37,558:INFO:Scoring test/hold-out set
- 2022-01-17 16:08:37,638:INFO:Visual Rendered Successfully
- 2022-01-17 16:08:37,708:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:09:01,636:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:09:01,637:INFO:Checking exceptions
- 2022-01-17 16:09:01,637:INFO:Preparing display monitor
- 2022-01-17 16:09:01,641:INFO:Preloading libraries
- 2022-01-17 16:09:01,642:INFO:Copying training dataset
- 2022-01-17 16:09:01,643:INFO:Copying test dataset
- 2022-01-17 16:09:01,643:INFO:Plot type: pr
- 2022-01-17 16:09:01,644:INFO:Fitting Model
- 2022-01-17 16:09:01,646:INFO:Scoring test/hold-out set
- 2022-01-17 16:09:01,732:INFO:Visual Rendered Successfully
- 2022-01-17 16:09:01,803:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:09:05,381:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:09:05,382:INFO:Checking exceptions
- 2022-01-17 16:09:05,383:INFO:Preparing display monitor
- 2022-01-17 16:09:05,386:INFO:Preloading libraries
- 2022-01-17 16:09:05,387:INFO:Copying training dataset
- 2022-01-17 16:09:05,388:INFO:Copying test dataset
- 2022-01-17 16:09:05,388:INFO:Plot type: feature
- 2022-01-17 16:09:05,389:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:09:05,470:INFO:Visual Rendered Successfully
- 2022-01-17 16:09:05,538:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:15:33,936:INFO:PyCaret Supervised Module
- 2022-01-17 16:15:33,937:INFO:ML Usecase: classification
- 2022-01-17 16:15:33,937:INFO:version 2.3.6
- 2022-01-17 16:15:33,937:INFO:Initializing setup()
- 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)
- 2022-01-17 16:15:33,937:INFO:Checking environment
- 2022-01-17 16:15:33,937:INFO:python_version: 3.8.8
- 2022-01-17 16:15:33,938:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 16:15:33,938:INFO:machine: x86_64
- 2022-01-17 16:15:33,938:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 16:15:33,939:INFO:Physical Core: 16
- 2022-01-17 16:15:33,939:INFO:Logical Core: 32
- 2022-01-17 16:15:33,939:INFO:Checking libraries
- 2022-01-17 16:15:33,939:INFO:pd==1.2.4
- 2022-01-17 16:15:33,940:INFO:numpy==1.19.5
- 2022-01-17 16:15:33,940:INFO:sklearn==0.23.2
- 2022-01-17 16:15:33,940:INFO:lightgbm==3.3.2
- 2022-01-17 16:15:33,941:WARNING:catboost not found
- 2022-01-17 16:15:33,941:WARNING:xgboost not found
- 2022-01-17 16:15:33,941:INFO:mlflow==1.22.0
- 2022-01-17 16:15:33,942:INFO:Checking Exceptions
- 2022-01-17 16:15:33,942:INFO:Declaring global variables
- 2022-01-17 16:15:33,942:INFO:USI: bd4e
- 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'}
- 2022-01-17 16:15:33,942:INFO:Preparing display monitor
- 2022-01-17 16:15:33,943:INFO:Preparing display monitor
- 2022-01-17 16:15:33,954:INFO:Importing libraries
- 2022-01-17 16:15:33,954:INFO:Copying data for preprocessing
- 2022-01-17 16:15:33,962:INFO:Declaring preprocessing parameters
- 2022-01-17 16:15:33,962:WARNING:cuML not found
- 2022-01-17 16:15:33,963:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 16:15:33,967:INFO:Creating preprocessing pipeline
- 2022-01-17 16:15:34,012:INFO:Preprocessing pipeline created successfully
- 2022-01-17 16:15:34,012:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 16:15:34,013:INFO:Creating global containers
- 2022-01-17 16:15:34,013:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 16:15:37,107:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:15:37,137:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:15:37,138:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:15:37,139:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:15:37,154:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:15:37,157:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:15:37,159:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:15:37,166:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:15:37,167:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:15:37,198:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:15:37,199:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:15:37,200:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:15:37,215:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:15:37,218:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:15:37,220:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:15:37,224:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:15:37,224:INFO:Creating grid variables
- 2022-01-17 16:15:37,237:INFO:create_model_container: 0
- 2022-01-17 16:15:37,238:INFO:master_model_container: 0
- 2022-01-17 16:15:37,238:INFO:display_container: 1
- 2022-01-17 16:15:37,241:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:15:37,241:INFO:setup() succesfully completed......................................
- 2022-01-17 16:15:52,465:INFO:Initializing compare_models()
- 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)
- 2022-01-17 16:15:52,466:INFO:Checking exceptions
- 2022-01-17 16:15:52,467:INFO:Preparing display monitor
- 2022-01-17 16:15:52,467:INFO:Preparing display monitor
- 2022-01-17 16:15:52,483:INFO:Initializing Logistic Regression
- 2022-01-17 16:15:52,484:INFO:Total runtime is 5.070368448893229e-06 minutes
- 2022-01-17 16:15:52,489:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:15:52,489:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:15:52,489:INFO:Checking exceptions
- 2022-01-17 16:15:52,490:INFO:Importing libraries
- 2022-01-17 16:15:52,490:INFO:Copying training dataset
- 2022-01-17 16:15:52,491:INFO:Defining folds
- 2022-01-17 16:15:52,491:INFO:Declaring metric variables
- 2022-01-17 16:15:52,496:INFO:Importing untrained model
- 2022-01-17 16:15:52,503:INFO:Logistic Regression Imported succesfully
- 2022-01-17 16:15:52,514:INFO:Starting cross validation
- 2022-01-17 16:15:52,515:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:01,519:INFO:Calculating mean and std
- 2022-01-17 16:16:01,520:INFO:Creating metrics dataframe
- 2022-01-17 16:16:01,527:INFO:Uploading results into container
- 2022-01-17 16:16:01,527:INFO:Uploading model into container now
- 2022-01-17 16:16:01,527:INFO:create_model_container: 1
- 2022-01-17 16:16:01,528:INFO:master_model_container: 1
- 2022-01-17 16:16:01,528:INFO:display_container: 2
- 2022-01-17 16:16:01,529:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=2932, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 16:16:01,529:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:01,610:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:01,611:INFO:Creating metrics dataframe
- 2022-01-17 16:16:01,620:INFO:Initializing K Neighbors Classifier
- 2022-01-17 16:16:01,621:INFO:Total runtime is 0.1522886912027995 minutes
- 2022-01-17 16:16:01,626:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:01,626:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:01,627:INFO:Checking exceptions
- 2022-01-17 16:16:01,627:INFO:Importing libraries
- 2022-01-17 16:16:01,627:INFO:Copying training dataset
- 2022-01-17 16:16:01,628:INFO:Defining folds
- 2022-01-17 16:16:01,628:INFO:Declaring metric variables
- 2022-01-17 16:16:01,633:INFO:Importing untrained model
- 2022-01-17 16:16:01,638:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 16:16:01,647:INFO:Starting cross validation
- 2022-01-17 16:16:01,648:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:18,763:INFO:Calculating mean and std
- 2022-01-17 16:16:18,764:INFO:Creating metrics dataframe
- 2022-01-17 16:16:18,767:INFO:Uploading results into container
- 2022-01-17 16:16:18,767:INFO:Uploading model into container now
- 2022-01-17 16:16:18,767:INFO:create_model_container: 2
- 2022-01-17 16:16:18,768:INFO:master_model_container: 2
- 2022-01-17 16:16:18,768:INFO:display_container: 2
- 2022-01-17 16:16:18,768:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 16:16:18,768:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:18,845:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:18,845:INFO:Creating metrics dataframe
- 2022-01-17 16:16:18,856:INFO:Initializing Naive Bayes
- 2022-01-17 16:16:18,856:INFO:Total runtime is 0.43954106569290163 minutes
- 2022-01-17 16:16:18,861:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:18,862:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:18,862:INFO:Checking exceptions
- 2022-01-17 16:16:18,862:INFO:Importing libraries
- 2022-01-17 16:16:18,862:INFO:Copying training dataset
- 2022-01-17 16:16:18,864:INFO:Defining folds
- 2022-01-17 16:16:18,864:INFO:Declaring metric variables
- 2022-01-17 16:16:18,869:INFO:Importing untrained model
- 2022-01-17 16:16:18,874:INFO:Naive Bayes Imported succesfully
- 2022-01-17 16:16:18,884:INFO:Starting cross validation
- 2022-01-17 16:16:18,885:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:19,117:INFO:Calculating mean and std
- 2022-01-17 16:16:19,118:INFO:Creating metrics dataframe
- 2022-01-17 16:16:19,120:INFO:Uploading results into container
- 2022-01-17 16:16:19,120:INFO:Uploading model into container now
- 2022-01-17 16:16:19,121:INFO:create_model_container: 3
- 2022-01-17 16:16:19,121:INFO:master_model_container: 3
- 2022-01-17 16:16:19,121:INFO:display_container: 2
- 2022-01-17 16:16:19,121:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 16:16:19,121:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:19,188:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:19,188:INFO:Creating metrics dataframe
- 2022-01-17 16:16:19,199:INFO:Initializing Decision Tree Classifier
- 2022-01-17 16:16:19,199:INFO:Total runtime is 0.4452617923418681 minutes
- 2022-01-17 16:16:19,204:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:19,205:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:19,205:INFO:Checking exceptions
- 2022-01-17 16:16:19,205:INFO:Importing libraries
- 2022-01-17 16:16:19,205:INFO:Copying training dataset
- 2022-01-17 16:16:19,206:INFO:Defining folds
- 2022-01-17 16:16:19,207:INFO:Declaring metric variables
- 2022-01-17 16:16:19,211:INFO:Importing untrained model
- 2022-01-17 16:16:19,216:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:16:19,226:INFO:Starting cross validation
- 2022-01-17 16:16:19,226:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:20,417:INFO:Calculating mean and std
- 2022-01-17 16:16:20,418:INFO:Creating metrics dataframe
- 2022-01-17 16:16:20,421:INFO:Uploading results into container
- 2022-01-17 16:16:20,421:INFO:Uploading model into container now
- 2022-01-17 16:16:20,421:INFO:create_model_container: 4
- 2022-01-17 16:16:20,421:INFO:master_model_container: 4
- 2022-01-17 16:16:20,421:INFO:display_container: 2
- 2022-01-17 16:16:20,422:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best')
- 2022-01-17 16:16:20,422:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:20,493:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:20,493:INFO:Creating metrics dataframe
- 2022-01-17 16:16:20,504:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 16:16:20,504:INFO:Total runtime is 0.46700976689656576 minutes
- 2022-01-17 16:16:20,509:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:20,510:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:20,510:INFO:Checking exceptions
- 2022-01-17 16:16:20,510:INFO:Importing libraries
- 2022-01-17 16:16:20,511:INFO:Copying training dataset
- 2022-01-17 16:16:20,512:INFO:Defining folds
- 2022-01-17 16:16:20,512:INFO:Declaring metric variables
- 2022-01-17 16:16:20,517:INFO:Importing untrained model
- 2022-01-17 16:16:20,522:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 16:16:20,532:INFO:Starting cross validation
- 2022-01-17 16:16:20,532:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:21,849:INFO:Calculating mean and std
- 2022-01-17 16:16:21,851:INFO:Creating metrics dataframe
- 2022-01-17 16:16:21,856:INFO:Uploading results into container
- 2022-01-17 16:16:21,858:INFO:Uploading model into container now
- 2022-01-17 16:16:21,862:INFO:create_model_container: 5
- 2022-01-17 16:16:21,864:INFO:master_model_container: 5
- 2022-01-17 16:16:21,865:INFO:display_container: 2
- 2022-01-17 16:16:21,865:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=2932, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 16:16:21,868:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:21,954:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:21,954:INFO:Creating metrics dataframe
- 2022-01-17 16:16:21,966:INFO:Initializing Ridge Classifier
- 2022-01-17 16:16:21,967:INFO:Total runtime is 0.49138774871826174 minutes
- 2022-01-17 16:16:21,972:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:21,972:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:21,972:INFO:Checking exceptions
- 2022-01-17 16:16:21,973:INFO:Importing libraries
- 2022-01-17 16:16:21,973:INFO:Copying training dataset
- 2022-01-17 16:16:21,974:INFO:Defining folds
- 2022-01-17 16:16:21,974:INFO:Declaring metric variables
- 2022-01-17 16:16:21,979:INFO:Importing untrained model
- 2022-01-17 16:16:21,984:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 16:16:21,994:INFO:Starting cross validation
- 2022-01-17 16:16:21,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:22,546:INFO:Calculating mean and std
- 2022-01-17 16:16:22,548:INFO:Creating metrics dataframe
- 2022-01-17 16:16:22,553:INFO:Uploading results into container
- 2022-01-17 16:16:22,553:INFO:Uploading model into container now
- 2022-01-17 16:16:22,555:INFO:create_model_container: 6
- 2022-01-17 16:16:22,555:INFO:master_model_container: 6
- 2022-01-17 16:16:22,556:INFO:display_container: 2
- 2022-01-17 16:16:22,558:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=2932,
- solver='auto', tol=0.001)
- 2022-01-17 16:16:22,559:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:22,650:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:22,650:INFO:Creating metrics dataframe
- 2022-01-17 16:16:22,661:INFO:Initializing Random Forest Classifier
- 2022-01-17 16:16:22,661:INFO:Total runtime is 0.5029676636060079 minutes
- 2022-01-17 16:16:22,667:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:22,667:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:22,667:INFO:Checking exceptions
- 2022-01-17 16:16:22,667:INFO:Importing libraries
- 2022-01-17 16:16:22,668:INFO:Copying training dataset
- 2022-01-17 16:16:22,669:INFO:Defining folds
- 2022-01-17 16:16:22,669:INFO:Declaring metric variables
- 2022-01-17 16:16:22,674:INFO:Importing untrained model
- 2022-01-17 16:16:22,679:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:16:22,690:INFO:Starting cross validation
- 2022-01-17 16:16:22,690:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:29,214:INFO:Calculating mean and std
- 2022-01-17 16:16:29,215:INFO:Creating metrics dataframe
- 2022-01-17 16:16:29,217:INFO:Uploading results into container
- 2022-01-17 16:16:29,218:INFO:Uploading model into container now
- 2022-01-17 16:16:29,218:INFO:create_model_container: 7
- 2022-01-17 16:16:29,218:INFO:master_model_container: 7
- 2022-01-17 16:16:29,218:INFO:display_container: 2
- 2022-01-17 16:16:29,218:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
- warm_start=False)
- 2022-01-17 16:16:29,219:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:29,294:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:29,295:INFO:Creating metrics dataframe
- 2022-01-17 16:16:29,306:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 16:16:29,306:INFO:Total runtime is 0.6137184937795003 minutes
- 2022-01-17 16:16:29,312:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:29,312:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:29,312:INFO:Checking exceptions
- 2022-01-17 16:16:29,313:INFO:Importing libraries
- 2022-01-17 16:16:29,313:INFO:Copying training dataset
- 2022-01-17 16:16:29,314:INFO:Defining folds
- 2022-01-17 16:16:29,314:INFO:Declaring metric variables
- 2022-01-17 16:16:29,319:INFO:Importing untrained model
- 2022-01-17 16:16:29,323:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 16:16:29,333:INFO:Starting cross validation
- 2022-01-17 16:16:29,334:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:30,168:INFO:Calculating mean and std
- 2022-01-17 16:16:30,170:INFO:Creating metrics dataframe
- 2022-01-17 16:16:30,177:INFO:Uploading results into container
- 2022-01-17 16:16:30,178:INFO:Uploading model into container now
- 2022-01-17 16:16:30,179:INFO:create_model_container: 8
- 2022-01-17 16:16:30,179:INFO:master_model_container: 8
- 2022-01-17 16:16:30,180:INFO:display_container: 2
- 2022-01-17 16:16:30,180:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 16:16:30,181:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:30,265:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:30,266:INFO:Creating metrics dataframe
- 2022-01-17 16:16:30,278:INFO:Initializing Ada Boost Classifier
- 2022-01-17 16:16:30,278:INFO:Total runtime is 0.6299135565757751 minutes
- 2022-01-17 16:16:30,283:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:30,284:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:30,284:INFO:Checking exceptions
- 2022-01-17 16:16:30,285:INFO:Importing libraries
- 2022-01-17 16:16:30,285:INFO:Copying training dataset
- 2022-01-17 16:16:30,286:INFO:Defining folds
- 2022-01-17 16:16:30,286:INFO:Declaring metric variables
- 2022-01-17 16:16:30,291:INFO:Importing untrained model
- 2022-01-17 16:16:30,296:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 16:16:30,306:INFO:Starting cross validation
- 2022-01-17 16:16:30,306:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:38,093:INFO:Calculating mean and std
- 2022-01-17 16:16:38,094:INFO:Creating metrics dataframe
- 2022-01-17 16:16:38,096:INFO:Uploading results into container
- 2022-01-17 16:16:38,096:INFO:Uploading model into container now
- 2022-01-17 16:16:38,097:INFO:create_model_container: 9
- 2022-01-17 16:16:38,097:INFO:master_model_container: 9
- 2022-01-17 16:16:38,097:INFO:display_container: 2
- 2022-01-17 16:16:38,097:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=2932)
- 2022-01-17 16:16:38,097:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:38,167:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:38,167:INFO:Creating metrics dataframe
- 2022-01-17 16:16:38,180:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 16:16:38,180:INFO:Total runtime is 0.7616098801294962 minutes
- 2022-01-17 16:16:38,185:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:38,186:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:38,186:INFO:Checking exceptions
- 2022-01-17 16:16:38,186:INFO:Importing libraries
- 2022-01-17 16:16:38,186:INFO:Copying training dataset
- 2022-01-17 16:16:38,187:INFO:Defining folds
- 2022-01-17 16:16:38,187:INFO:Declaring metric variables
- 2022-01-17 16:16:38,192:INFO:Importing untrained model
- 2022-01-17 16:16:38,197:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 16:16:38,207:INFO:Starting cross validation
- 2022-01-17 16:16:38,208:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:05,514:INFO:Calculating mean and std
- 2022-01-17 16:17:05,515:INFO:Creating metrics dataframe
- 2022-01-17 16:17:05,517:INFO:Uploading results into container
- 2022-01-17 16:17:05,518:INFO:Uploading model into container now
- 2022-01-17 16:17:05,518:INFO:create_model_container: 10
- 2022-01-17 16:17:05,518:INFO:master_model_container: 10
- 2022-01-17 16:17:05,518:INFO:display_container: 2
- 2022-01-17 16:17:05,518:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=2932, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 16:17:05,519:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:05,594:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:05,594:INFO:Creating metrics dataframe
- 2022-01-17 16:17:05,607:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 16:17:05,607:INFO:Total runtime is 1.218723444143931 minutes
- 2022-01-17 16:17:05,612:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:17:05,612:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:05,613:INFO:Checking exceptions
- 2022-01-17 16:17:05,613:INFO:Importing libraries
- 2022-01-17 16:17:05,613:INFO:Copying training dataset
- 2022-01-17 16:17:05,614:INFO:Defining folds
- 2022-01-17 16:17:05,614:INFO:Declaring metric variables
- 2022-01-17 16:17:05,619:INFO:Importing untrained model
- 2022-01-17 16:17:05,624:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 16:17:05,634:INFO:Starting cross validation
- 2022-01-17 16:17:05,635:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:07,409:INFO:Calculating mean and std
- 2022-01-17 16:17:07,410:INFO:Creating metrics dataframe
- 2022-01-17 16:17:07,414:INFO:Uploading results into container
- 2022-01-17 16:17:07,414:INFO:Uploading model into container now
- 2022-01-17 16:17:07,414:INFO:create_model_container: 11
- 2022-01-17 16:17:07,415:INFO:master_model_container: 11
- 2022-01-17 16:17:07,415:INFO:display_container: 2
- 2022-01-17 16:17:07,415:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 16:17:07,415:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:07,513:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:07,513:INFO:Creating metrics dataframe
- 2022-01-17 16:17:07,526:INFO:Initializing Extra Trees Classifier
- 2022-01-17 16:17:07,526:INFO:Total runtime is 1.2507105032602945 minutes
- 2022-01-17 16:17:07,531:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:17:07,531:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:07,532:INFO:Checking exceptions
- 2022-01-17 16:17:07,532:INFO:Importing libraries
- 2022-01-17 16:17:07,532:INFO:Copying training dataset
- 2022-01-17 16:17:07,533:INFO:Defining folds
- 2022-01-17 16:17:07,534:INFO:Declaring metric variables
- 2022-01-17 16:17:07,538:INFO:Importing untrained model
- 2022-01-17 16:17:07,543:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 16:17:07,554:INFO:Starting cross validation
- 2022-01-17 16:17:07,555:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:14,192:INFO:Calculating mean and std
- 2022-01-17 16:17:14,193:INFO:Creating metrics dataframe
- 2022-01-17 16:17:14,196:INFO:Uploading results into container
- 2022-01-17 16:17:14,196:INFO:Uploading model into container now
- 2022-01-17 16:17:14,196:INFO:create_model_container: 12
- 2022-01-17 16:17:14,196:INFO:master_model_container: 12
- 2022-01-17 16:17:14,196:INFO:display_container: 2
- 2022-01-17 16:17:14,197:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2932, verbose=0,
- warm_start=False)
- 2022-01-17 16:17:14,197:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:14,274:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:14,275:INFO:Creating metrics dataframe
- 2022-01-17 16:17:14,288:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 16:17:14,289:INFO:Total runtime is 1.3634196678797403 minutes
- 2022-01-17 16:17:14,295:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:17:14,295:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:14,295:INFO:Checking exceptions
- 2022-01-17 16:17:14,296:INFO:Importing libraries
- 2022-01-17 16:17:14,296:INFO:Copying training dataset
- 2022-01-17 16:17:14,297:INFO:Defining folds
- 2022-01-17 16:17:14,297:INFO:Declaring metric variables
- 2022-01-17 16:17:14,302:INFO:Importing untrained model
- 2022-01-17 16:17:14,307:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 16:17:14,319:INFO:Starting cross validation
- 2022-01-17 16:17:14,319:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:18,130:INFO:Calculating mean and std
- 2022-01-17 16:17:18,131:INFO:Creating metrics dataframe
- 2022-01-17 16:17:18,134:INFO:Uploading results into container
- 2022-01-17 16:17:18,134:INFO:Uploading model into container now
- 2022-01-17 16:17:18,134:INFO:create_model_container: 13
- 2022-01-17 16:17:18,134:INFO:master_model_container: 13
- 2022-01-17 16:17:18,135:INFO:display_container: 2
- 2022-01-17 16:17:18,135:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=2932, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 16:17:18,135:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:18,218:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:18,218:INFO:Creating metrics dataframe
- 2022-01-17 16:17:18,231:INFO:Initializing Dummy Classifier
- 2022-01-17 16:17:18,231:INFO:Total runtime is 1.429133172829946 minutes
- 2022-01-17 16:17:18,237:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:17:18,237:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:18,238:INFO:Checking exceptions
- 2022-01-17 16:17:18,238:INFO:Importing libraries
- 2022-01-17 16:17:18,238:INFO:Copying training dataset
- 2022-01-17 16:17:18,239:INFO:Defining folds
- 2022-01-17 16:17:18,240:INFO:Declaring metric variables
- 2022-01-17 16:17:18,245:INFO:Importing untrained model
- 2022-01-17 16:17:18,250:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 16:17:18,260:INFO:Starting cross validation
- 2022-01-17 16:17:18,260:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:18,373:INFO:Calculating mean and std
- 2022-01-17 16:17:18,374:INFO:Creating metrics dataframe
- 2022-01-17 16:17:18,377:INFO:Uploading results into container
- 2022-01-17 16:17:18,377:INFO:Uploading model into container now
- 2022-01-17 16:17:18,378:INFO:create_model_container: 14
- 2022-01-17 16:17:18,378:INFO:master_model_container: 14
- 2022-01-17 16:17:18,378:INFO:display_container: 2
- 2022-01-17 16:17:18,378:INFO:DummyClassifier(constant=None, random_state=2932, strategy='prior')
- 2022-01-17 16:17:18,378:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:18,447:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:18,447:INFO:Creating metrics dataframe
- 2022-01-17 16:17:18,472:INFO:Initializing create_model()
- 2022-01-17 16:17:18,472:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
- 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={})
- 2022-01-17 16:17:18,472:INFO:Checking exceptions
- 2022-01-17 16:17:18,472:INFO:Importing libraries
- 2022-01-17 16:17:18,473:INFO:Copying training dataset
- 2022-01-17 16:17:18,473:INFO:Defining folds
- 2022-01-17 16:17:18,474:INFO:Declaring metric variables
- 2022-01-17 16:17:18,474:INFO:Importing untrained model
- 2022-01-17 16:17:18,474:INFO:Declaring custom model
- 2022-01-17 16:17:18,474:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:17:18,475:INFO:Cross validation set to False
- 2022-01-17 16:17:18,475:INFO:Fitting Model
- 2022-01-17 16:17:18,854:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
- warm_start=False)
- 2022-01-17 16:17:18,854:INFO:create_models() succesfully completed......................................
- 2022-01-17 16:17:18,955:INFO:create_model_container: 14
- 2022-01-17 16:17:18,956:INFO:master_model_container: 14
- 2022-01-17 16:17:18,956:INFO:display_container: 2
- 2022-01-17 16:17:18,956:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
- warm_start=False)
- 2022-01-17 16:17:18,956:INFO:compare_models() succesfully completed......................................
- 2022-01-17 16:17:33,729:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:33,729:INFO:Checking exceptions
- 2022-01-17 16:17:33,730:INFO:Preparing display monitor
- 2022-01-17 16:17:33,741:INFO:Importing libraries
- 2022-01-17 16:17:33,741:INFO:Copying training dataset
- 2022-01-17 16:17:33,742:INFO:Defining folds
- 2022-01-17 16:17:33,742:INFO:Declaring metric variables
- 2022-01-17 16:17:33,747:INFO:Importing untrained model
- 2022-01-17 16:17:33,753:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:17:33,764:INFO:Starting cross validation
- 2022-01-17 16:17:33,764:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:34,955:INFO:Calculating mean and std
- 2022-01-17 16:17:34,956:INFO:Creating metrics dataframe
- 2022-01-17 16:17:34,964:INFO:Finalizing model
- 2022-01-17 16:17:35,090:INFO:Uploading results into container
- 2022-01-17 16:17:35,091:INFO:Uploading model into container now
- 2022-01-17 16:17:35,101:INFO:create_model_container: 15
- 2022-01-17 16:17:35,101:INFO:master_model_container: 15
- 2022-01-17 16:17:35,101:INFO:display_container: 3
- 2022-01-17 16:17:35,102:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best')
- 2022-01-17 16:17:35,102:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:48,039:INFO:Initializing evaluate_model()
- 2022-01-17 16:17:48,039:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:17:48,051:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:17:48,051:INFO:Checking exceptions
- 2022-01-17 16:17:48,052:INFO:Preparing display monitor
- 2022-01-17 16:17:48,056:INFO:Preloading libraries
- 2022-01-17 16:17:48,057:INFO:Copying training dataset
- 2022-01-17 16:17:48,058:INFO:Copying test dataset
- 2022-01-17 16:17:48,059:INFO:Plot type: parameter
- 2022-01-17 16:17:48,064:INFO:Visual Rendered Successfully
- 2022-01-17 16:17:48,141:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:17:50,658:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:17:50,658:INFO:Checking exceptions
- 2022-01-17 16:17:50,659:INFO:Preparing display monitor
- 2022-01-17 16:17:50,664:INFO:Preloading libraries
- 2022-01-17 16:17:50,665:INFO:Copying training dataset
- 2022-01-17 16:17:50,666:INFO:Copying test dataset
- 2022-01-17 16:17:50,667:INFO:Plot type: confusion_matrix
- 2022-01-17 16:17:50,668:INFO:Initializing get_config()
- 2022-01-17 16:17:50,668:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:17:50,672:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:17:50,672:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:17:50,673:INFO:Fitting Model
- 2022-01-17 16:17:50,674:INFO:Scoring test/hold-out set
- 2022-01-17 16:17:50,761:INFO:Visual Rendered Successfully
- 2022-01-17 16:17:50,831:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:01,358:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:18:01,358:INFO:Checking exceptions
- 2022-01-17 16:18:01,359:INFO:Preparing display monitor
- 2022-01-17 16:18:01,363:INFO:Preloading libraries
- 2022-01-17 16:18:01,364:INFO:Copying training dataset
- 2022-01-17 16:18:01,365:INFO:Copying test dataset
- 2022-01-17 16:18:01,365:INFO:Plot type: pr
- 2022-01-17 16:18:01,366:INFO:Fitting Model
- 2022-01-17 16:18:01,368:INFO:Scoring test/hold-out set
- 2022-01-17 16:18:01,454:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:01,529:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:03,783:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:18:03,784:INFO:Checking exceptions
- 2022-01-17 16:18:03,785:INFO:Preparing display monitor
- 2022-01-17 16:18:03,788:INFO:Preloading libraries
- 2022-01-17 16:18:03,789:INFO:Copying training dataset
- 2022-01-17 16:18:03,790:INFO:Copying test dataset
- 2022-01-17 16:18:03,790:INFO:Plot type: error
- 2022-01-17 16:18:03,791:INFO:Initializing get_config()
- 2022-01-17 16:18:03,791:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:18:03,794:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:18:03,795:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:18:03,795:INFO:Fitting Model
- 2022-01-17 16:18:03,796:INFO:Scoring test/hold-out set
- 2022-01-17 16:18:03,890:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:03,965:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:07,067:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:18:07,068:INFO:Checking exceptions
- 2022-01-17 16:18:07,068:INFO:Preparing display monitor
- 2022-01-17 16:18:07,073:INFO:Preloading libraries
- 2022-01-17 16:18:07,074:INFO:Copying training dataset
- 2022-01-17 16:18:07,075:INFO:Copying test dataset
- 2022-01-17 16:18:07,075:INFO:Plot type: class_report
- 2022-01-17 16:18:07,076:INFO:Initializing get_config()
- 2022-01-17 16:18:07,076:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:18:07,079:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:18:07,079:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:18:07,080:INFO:Fitting Model
- 2022-01-17 16:18:07,081:INFO:Scoring test/hold-out set
- 2022-01-17 16:18:07,197:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:07,277:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:12,516:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:18:12,517:INFO:Checking exceptions
- 2022-01-17 16:18:12,517:INFO:Preparing display monitor
- 2022-01-17 16:18:12,521:INFO:Preloading libraries
- 2022-01-17 16:18:12,522:INFO:Copying training dataset
- 2022-01-17 16:18:12,523:INFO:Copying test dataset
- 2022-01-17 16:18:12,523:INFO:Plot type: feature
- 2022-01-17 16:18:12,524:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:18:12,600:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:12,672:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:16,408:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:18:16,408:INFO:Checking exceptions
- 2022-01-17 16:18:16,409:INFO:Preparing display monitor
- 2022-01-17 16:18:16,413:INFO:Preloading libraries
- 2022-01-17 16:18:16,414:INFO:Copying training dataset
- 2022-01-17 16:18:16,415:INFO:Copying test dataset
- 2022-01-17 16:18:16,416:INFO:Plot type: feature_all
- 2022-01-17 16:18:16,417:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:18:16,649:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:16,725:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:54,542:INFO:PyCaret Supervised Module
- 2022-01-17 16:18:54,543:INFO:ML Usecase: classification
- 2022-01-17 16:18:54,543:INFO:version 2.3.6
- 2022-01-17 16:18:54,543:INFO:Initializing setup()
- 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)
- 2022-01-17 16:18:54,543:INFO:Checking environment
- 2022-01-17 16:18:54,543:INFO:python_version: 3.8.8
- 2022-01-17 16:18:54,543:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 16:18:54,544:INFO:machine: x86_64
- 2022-01-17 16:18:54,544:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 16:18:54,545:INFO:Physical Core: 16
- 2022-01-17 16:18:54,545:INFO:Logical Core: 32
- 2022-01-17 16:18:54,545:INFO:Checking libraries
- 2022-01-17 16:18:54,545:INFO:pd==1.2.4
- 2022-01-17 16:18:54,545:INFO:numpy==1.19.5
- 2022-01-17 16:18:54,545:INFO:sklearn==0.23.2
- 2022-01-17 16:18:54,546:INFO:lightgbm==3.3.2
- 2022-01-17 16:18:54,546:WARNING:catboost not found
- 2022-01-17 16:18:54,546:WARNING:xgboost not found
- 2022-01-17 16:18:54,547:INFO:mlflow==1.22.0
- 2022-01-17 16:18:54,547:INFO:Checking Exceptions
- 2022-01-17 16:18:54,547:INFO:Declaring global variables
- 2022-01-17 16:18:54,547:INFO:USI: 2819
- 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'}
- 2022-01-17 16:18:54,547:INFO:Preparing display monitor
- 2022-01-17 16:18:54,548:INFO:Preparing display monitor
- 2022-01-17 16:18:54,555:INFO:Importing libraries
- 2022-01-17 16:18:54,555:INFO:Copying data for preprocessing
- 2022-01-17 16:18:54,561:INFO:Declaring preprocessing parameters
- 2022-01-17 16:18:54,562:WARNING:cuML not found
- 2022-01-17 16:18:54,562:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 16:18:54,564:INFO:Creating preprocessing pipeline
- 2022-01-17 16:18:54,594:INFO:Preprocessing pipeline created successfully
- 2022-01-17 16:18:54,595:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 16:18:54,595:INFO:Creating global containers
- 2022-01-17 16:18:54,595:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 16:19:11,428:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:19:11,455:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:19:11,456:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:19:11,457:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:19:11,470:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:19:11,474:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:19:11,475:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:19:11,480:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:19:11,481:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:19:11,512:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:19:11,512:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:19:11,513:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:19:11,527:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:19:11,530:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:19:11,531:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:19:11,534:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:19:11,535:INFO:Creating grid variables
- 2022-01-17 16:19:11,548:INFO:create_model_container: 0
- 2022-01-17 16:19:11,548:INFO:master_model_container: 0
- 2022-01-17 16:19:11,548:INFO:display_container: 1
- 2022-01-17 16:19:11,551:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:19:11,551:INFO:setup() succesfully completed......................................
- 2022-01-17 16:19:50,281:INFO:Initializing compare_models()
- 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)
- 2022-01-17 16:19:50,282:INFO:Checking exceptions
- 2022-01-17 16:19:50,282:INFO:Preparing display monitor
- 2022-01-17 16:19:50,283:INFO:Preparing display monitor
- 2022-01-17 16:19:50,298:INFO:Initializing Logistic Regression
- 2022-01-17 16:19:50,299:INFO:Total runtime is 4.923343658447265e-06 minutes
- 2022-01-17 16:19:50,304:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:19:50,304:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:19:50,305:INFO:Checking exceptions
- 2022-01-17 16:19:50,305:INFO:Importing libraries
- 2022-01-17 16:19:50,305:INFO:Copying training dataset
- 2022-01-17 16:19:50,306:INFO:Defining folds
- 2022-01-17 16:19:50,306:INFO:Declaring metric variables
- 2022-01-17 16:19:50,311:INFO:Importing untrained model
- 2022-01-17 16:19:50,316:INFO:Logistic Regression Imported succesfully
- 2022-01-17 16:19:50,327:INFO:Starting cross validation
- 2022-01-17 16:19:50,327:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:19:56,519:INFO:Calculating mean and std
- 2022-01-17 16:19:56,520:INFO:Creating metrics dataframe
- 2022-01-17 16:19:56,526:INFO:Uploading results into container
- 2022-01-17 16:19:56,528:INFO:Uploading model into container now
- 2022-01-17 16:19:56,528:INFO:create_model_container: 1
- 2022-01-17 16:19:56,528:INFO:master_model_container: 1
- 2022-01-17 16:19:56,528:INFO:display_container: 2
- 2022-01-17 16:19:56,529:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=424, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 16:19:56,529:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:19:56,615:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:19:56,616:INFO:Creating metrics dataframe
- 2022-01-17 16:19:56,625:INFO:Initializing K Neighbors Classifier
- 2022-01-17 16:19:56,625:INFO:Total runtime is 0.10544798374176026 minutes
- 2022-01-17 16:19:56,631:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:19:56,631:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:19:56,632:INFO:Checking exceptions
- 2022-01-17 16:19:56,632:INFO:Importing libraries
- 2022-01-17 16:19:56,632:INFO:Copying training dataset
- 2022-01-17 16:19:56,633:INFO:Defining folds
- 2022-01-17 16:19:56,633:INFO:Declaring metric variables
- 2022-01-17 16:19:56,638:INFO:Importing untrained model
- 2022-01-17 16:19:56,643:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 16:19:56,654:INFO:Starting cross validation
- 2022-01-17 16:19:56,654:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:13,378:INFO:Calculating mean and std
- 2022-01-17 16:20:13,379:INFO:Creating metrics dataframe
- 2022-01-17 16:20:13,382:INFO:Uploading results into container
- 2022-01-17 16:20:13,382:INFO:Uploading model into container now
- 2022-01-17 16:20:13,382:INFO:create_model_container: 2
- 2022-01-17 16:20:13,382:INFO:master_model_container: 2
- 2022-01-17 16:20:13,382:INFO:display_container: 2
- 2022-01-17 16:20:13,383:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 16:20:13,383:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:13,454:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:13,455:INFO:Creating metrics dataframe
- 2022-01-17 16:20:13,465:INFO:Initializing Naive Bayes
- 2022-01-17 16:20:13,466:INFO:Total runtime is 0.38611943721771236 minutes
- 2022-01-17 16:20:13,471:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:13,471:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:13,471:INFO:Checking exceptions
- 2022-01-17 16:20:13,471:INFO:Importing libraries
- 2022-01-17 16:20:13,472:INFO:Copying training dataset
- 2022-01-17 16:20:13,473:INFO:Defining folds
- 2022-01-17 16:20:13,473:INFO:Declaring metric variables
- 2022-01-17 16:20:13,478:INFO:Importing untrained model
- 2022-01-17 16:20:13,483:INFO:Naive Bayes Imported succesfully
- 2022-01-17 16:20:13,492:INFO:Starting cross validation
- 2022-01-17 16:20:13,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:13,717:INFO:Calculating mean and std
- 2022-01-17 16:20:13,718:INFO:Creating metrics dataframe
- 2022-01-17 16:20:13,721:INFO:Uploading results into container
- 2022-01-17 16:20:13,721:INFO:Uploading model into container now
- 2022-01-17 16:20:13,721:INFO:create_model_container: 3
- 2022-01-17 16:20:13,721:INFO:master_model_container: 3
- 2022-01-17 16:20:13,721:INFO:display_container: 2
- 2022-01-17 16:20:13,722:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 16:20:13,722:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:13,792:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:13,793:INFO:Creating metrics dataframe
- 2022-01-17 16:20:13,803:INFO:Initializing Decision Tree Classifier
- 2022-01-17 16:20:13,804:INFO:Total runtime is 0.39175337553024286 minutes
- 2022-01-17 16:20:13,809:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:13,809:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:13,809:INFO:Checking exceptions
- 2022-01-17 16:20:13,809:INFO:Importing libraries
- 2022-01-17 16:20:13,810:INFO:Copying training dataset
- 2022-01-17 16:20:13,811:INFO:Defining folds
- 2022-01-17 16:20:13,811:INFO:Declaring metric variables
- 2022-01-17 16:20:13,816:INFO:Importing untrained model
- 2022-01-17 16:20:13,820:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:20:13,831:INFO:Starting cross validation
- 2022-01-17 16:20:13,831:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:14,772:INFO:Calculating mean and std
- 2022-01-17 16:20:14,773:INFO:Creating metrics dataframe
- 2022-01-17 16:20:14,775:INFO:Uploading results into container
- 2022-01-17 16:20:14,776:INFO:Uploading model into container now
- 2022-01-17 16:20:14,776:INFO:create_model_container: 4
- 2022-01-17 16:20:14,776:INFO:master_model_container: 4
- 2022-01-17 16:20:14,776:INFO:display_container: 2
- 2022-01-17 16:20:14,776:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:20:14,777:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:14,845:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:14,846:INFO:Creating metrics dataframe
- 2022-01-17 16:20:14,856:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 16:20:14,856:INFO:Total runtime is 0.4093016187349955 minutes
- 2022-01-17 16:20:14,862:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:14,862:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:14,862:INFO:Checking exceptions
- 2022-01-17 16:20:14,863:INFO:Importing libraries
- 2022-01-17 16:20:14,863:INFO:Copying training dataset
- 2022-01-17 16:20:14,864:INFO:Defining folds
- 2022-01-17 16:20:14,864:INFO:Declaring metric variables
- 2022-01-17 16:20:14,869:INFO:Importing untrained model
- 2022-01-17 16:20:14,874:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 16:20:14,885:INFO:Starting cross validation
- 2022-01-17 16:20:14,886:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:16,016:INFO:Calculating mean and std
- 2022-01-17 16:20:16,017:INFO:Creating metrics dataframe
- 2022-01-17 16:20:16,022:INFO:Uploading results into container
- 2022-01-17 16:20:16,022:INFO:Uploading model into container now
- 2022-01-17 16:20:16,022:INFO:create_model_container: 5
- 2022-01-17 16:20:16,024:INFO:master_model_container: 5
- 2022-01-17 16:20:16,025:INFO:display_container: 2
- 2022-01-17 16:20:16,028:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=424, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 16:20:16,028:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:16,122:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:16,122:INFO:Creating metrics dataframe
- 2022-01-17 16:20:16,133:INFO:Initializing Ridge Classifier
- 2022-01-17 16:20:16,134:INFO:Total runtime is 0.43058832089106236 minutes
- 2022-01-17 16:20:16,141:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:16,142:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:16,142:INFO:Checking exceptions
- 2022-01-17 16:20:16,142:INFO:Importing libraries
- 2022-01-17 16:20:16,142:INFO:Copying training dataset
- 2022-01-17 16:20:16,144:INFO:Defining folds
- 2022-01-17 16:20:16,144:INFO:Declaring metric variables
- 2022-01-17 16:20:16,153:INFO:Importing untrained model
- 2022-01-17 16:20:16,159:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 16:20:16,173:INFO:Starting cross validation
- 2022-01-17 16:20:16,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:16,879:INFO:Calculating mean and std
- 2022-01-17 16:20:16,892:INFO:Creating metrics dataframe
- 2022-01-17 16:20:16,897:INFO:Uploading results into container
- 2022-01-17 16:20:16,900:INFO:Uploading model into container now
- 2022-01-17 16:20:16,900:INFO:create_model_container: 6
- 2022-01-17 16:20:16,900:INFO:master_model_container: 6
- 2022-01-17 16:20:16,901:INFO:display_container: 2
- 2022-01-17 16:20:16,901:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=424, solver='auto',
- tol=0.001)
- 2022-01-17 16:20:16,901:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:16,994:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:16,994:INFO:Creating metrics dataframe
- 2022-01-17 16:20:17,005:INFO:Initializing Random Forest Classifier
- 2022-01-17 16:20:17,005:INFO:Total runtime is 0.44511662721633904 minutes
- 2022-01-17 16:20:17,011:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:17,011:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:17,011:INFO:Checking exceptions
- 2022-01-17 16:20:17,011:INFO:Importing libraries
- 2022-01-17 16:20:17,012:INFO:Copying training dataset
- 2022-01-17 16:20:17,013:INFO:Defining folds
- 2022-01-17 16:20:17,013:INFO:Declaring metric variables
- 2022-01-17 16:20:17,018:INFO:Importing untrained model
- 2022-01-17 16:20:17,022:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:20:17,033:INFO:Starting cross validation
- 2022-01-17 16:20:17,033:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:23,517:INFO:Calculating mean and std
- 2022-01-17 16:20:23,518:INFO:Creating metrics dataframe
- 2022-01-17 16:20:23,520:INFO:Uploading results into container
- 2022-01-17 16:20:23,520:INFO:Uploading model into container now
- 2022-01-17 16:20:23,521:INFO:create_model_container: 7
- 2022-01-17 16:20:23,521:INFO:master_model_container: 7
- 2022-01-17 16:20:23,521:INFO:display_container: 2
- 2022-01-17 16:20:23,521:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-17 16:20:23,521:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:23,600:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:23,600:INFO:Creating metrics dataframe
- 2022-01-17 16:20:23,612:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 16:20:23,612:INFO:Total runtime is 0.555225106080373 minutes
- 2022-01-17 16:20:23,617:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:23,617:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:23,618:INFO:Checking exceptions
- 2022-01-17 16:20:23,618:INFO:Importing libraries
- 2022-01-17 16:20:23,618:INFO:Copying training dataset
- 2022-01-17 16:20:23,619:INFO:Defining folds
- 2022-01-17 16:20:23,619:INFO:Declaring metric variables
- 2022-01-17 16:20:23,624:INFO:Importing untrained model
- 2022-01-17 16:20:23,630:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 16:20:23,640:INFO:Starting cross validation
- 2022-01-17 16:20:23,641:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:24,483:INFO:Calculating mean and std
- 2022-01-17 16:20:24,484:INFO:Creating metrics dataframe
- 2022-01-17 16:20:24,489:INFO:Uploading results into container
- 2022-01-17 16:20:24,492:INFO:Uploading model into container now
- 2022-01-17 16:20:24,493:INFO:create_model_container: 8
- 2022-01-17 16:20:24,494:INFO:master_model_container: 8
- 2022-01-17 16:20:24,494:INFO:display_container: 2
- 2022-01-17 16:20:24,495:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 16:20:24,495:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:24,582:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:24,583:INFO:Creating metrics dataframe
- 2022-01-17 16:20:24,594:INFO:Initializing Ada Boost Classifier
- 2022-01-17 16:20:24,594:INFO:Total runtime is 0.5716010252634683 minutes
- 2022-01-17 16:20:24,600:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:24,600:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:24,600:INFO:Checking exceptions
- 2022-01-17 16:20:24,600:INFO:Importing libraries
- 2022-01-17 16:20:24,601:INFO:Copying training dataset
- 2022-01-17 16:20:24,602:INFO:Defining folds
- 2022-01-17 16:20:24,602:INFO:Declaring metric variables
- 2022-01-17 16:20:24,607:INFO:Importing untrained model
- 2022-01-17 16:20:24,612:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 16:20:24,622:INFO:Starting cross validation
- 2022-01-17 16:20:24,623:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:31,369:INFO:Calculating mean and std
- 2022-01-17 16:20:31,370:INFO:Creating metrics dataframe
- 2022-01-17 16:20:31,373:INFO:Uploading results into container
- 2022-01-17 16:20:31,373:INFO:Uploading model into container now
- 2022-01-17 16:20:31,373:INFO:create_model_container: 9
- 2022-01-17 16:20:31,373:INFO:master_model_container: 9
- 2022-01-17 16:20:31,373:INFO:display_container: 2
- 2022-01-17 16:20:31,374:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=424)
- 2022-01-17 16:20:31,374:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:31,444:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:31,445:INFO:Creating metrics dataframe
- 2022-01-17 16:20:31,457:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 16:20:31,457:INFO:Total runtime is 0.6859723726908366 minutes
- 2022-01-17 16:20:31,462:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:31,462:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:31,463:INFO:Checking exceptions
- 2022-01-17 16:20:31,463:INFO:Importing libraries
- 2022-01-17 16:20:31,463:INFO:Copying training dataset
- 2022-01-17 16:20:31,464:INFO:Defining folds
- 2022-01-17 16:20:31,464:INFO:Declaring metric variables
- 2022-01-17 16:20:31,469:INFO:Importing untrained model
- 2022-01-17 16:20:31,473:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 16:20:31,484:INFO:Starting cross validation
- 2022-01-17 16:20:31,484:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:53,555:INFO:Calculating mean and std
- 2022-01-17 16:20:53,555:INFO:Creating metrics dataframe
- 2022-01-17 16:20:53,558:INFO:Uploading results into container
- 2022-01-17 16:20:53,558:INFO:Uploading model into container now
- 2022-01-17 16:20:53,558:INFO:create_model_container: 10
- 2022-01-17 16:20:53,559:INFO:master_model_container: 10
- 2022-01-17 16:20:53,559:INFO:display_container: 2
- 2022-01-17 16:20:53,559:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=424, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 16:20:53,560:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:53,627:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:53,627:INFO:Creating metrics dataframe
- 2022-01-17 16:20:53,640:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 16:20:53,640:INFO:Total runtime is 1.0557005564371744 minutes
- 2022-01-17 16:20:53,646:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:53,646:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:53,646:INFO:Checking exceptions
- 2022-01-17 16:20:53,647:INFO:Importing libraries
- 2022-01-17 16:20:53,647:INFO:Copying training dataset
- 2022-01-17 16:20:53,648:INFO:Defining folds
- 2022-01-17 16:20:53,648:INFO:Declaring metric variables
- 2022-01-17 16:20:53,653:INFO:Importing untrained model
- 2022-01-17 16:20:53,657:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 16:20:53,668:INFO:Starting cross validation
- 2022-01-17 16:20:53,668:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:55,366:INFO:Calculating mean and std
- 2022-01-17 16:20:55,367:INFO:Creating metrics dataframe
- 2022-01-17 16:20:55,371:INFO:Uploading results into container
- 2022-01-17 16:20:55,371:INFO:Uploading model into container now
- 2022-01-17 16:20:55,371:INFO:create_model_container: 11
- 2022-01-17 16:20:55,371:INFO:master_model_container: 11
- 2022-01-17 16:20:55,371:INFO:display_container: 2
- 2022-01-17 16:20:55,372:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 16:20:55,372:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:55,470:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:55,470:INFO:Creating metrics dataframe
- 2022-01-17 16:20:55,483:INFO:Initializing Extra Trees Classifier
- 2022-01-17 16:20:55,483:INFO:Total runtime is 1.0864083329836527 minutes
- 2022-01-17 16:20:55,488:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:55,488:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:55,489:INFO:Checking exceptions
- 2022-01-17 16:20:55,489:INFO:Importing libraries
- 2022-01-17 16:20:55,489:INFO:Copying training dataset
- 2022-01-17 16:20:55,490:INFO:Defining folds
- 2022-01-17 16:20:55,490:INFO:Declaring metric variables
- 2022-01-17 16:20:55,495:INFO:Importing untrained model
- 2022-01-17 16:20:55,500:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 16:20:55,509:INFO:Starting cross validation
- 2022-01-17 16:20:55,510:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:02,191:INFO:Calculating mean and std
- 2022-01-17 16:21:02,191:INFO:Creating metrics dataframe
- 2022-01-17 16:21:02,194:INFO:Uploading results into container
- 2022-01-17 16:21:02,194:INFO:Uploading model into container now
- 2022-01-17 16:21:02,195:INFO:create_model_container: 12
- 2022-01-17 16:21:02,195:INFO:master_model_container: 12
- 2022-01-17 16:21:02,195:INFO:display_container: 2
- 2022-01-17 16:21:02,195:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-17 16:21:02,195:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:21:02,273:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:21:02,274:INFO:Creating metrics dataframe
- 2022-01-17 16:21:02,287:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 16:21:02,287:INFO:Total runtime is 1.199817915757497 minutes
- 2022-01-17 16:21:02,293:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:21:02,293:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:21:02,294:INFO:Checking exceptions
- 2022-01-17 16:21:02,294:INFO:Importing libraries
- 2022-01-17 16:21:02,294:INFO:Copying training dataset
- 2022-01-17 16:21:02,295:INFO:Defining folds
- 2022-01-17 16:21:02,295:INFO:Declaring metric variables
- 2022-01-17 16:21:02,300:INFO:Importing untrained model
- 2022-01-17 16:21:02,305:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 16:21:02,315:INFO:Starting cross validation
- 2022-01-17 16:21:02,316:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:05,313:INFO:Calculating mean and std
- 2022-01-17 16:21:05,313:INFO:Creating metrics dataframe
- 2022-01-17 16:21:05,316:INFO:Uploading results into container
- 2022-01-17 16:21:05,316:INFO:Uploading model into container now
- 2022-01-17 16:21:05,316:INFO:create_model_container: 13
- 2022-01-17 16:21:05,316:INFO:master_model_container: 13
- 2022-01-17 16:21:05,317:INFO:display_container: 2
- 2022-01-17 16:21:05,317:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=424, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 16:21:05,317:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:21:05,387:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:21:05,387:INFO:Creating metrics dataframe
- 2022-01-17 16:21:05,401:INFO:Initializing Dummy Classifier
- 2022-01-17 16:21:05,401:INFO:Total runtime is 1.2517123500506082 minutes
- 2022-01-17 16:21:05,406:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:21:05,407:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:21:05,407:INFO:Checking exceptions
- 2022-01-17 16:21:05,407:INFO:Importing libraries
- 2022-01-17 16:21:05,407:INFO:Copying training dataset
- 2022-01-17 16:21:05,409:INFO:Defining folds
- 2022-01-17 16:21:05,409:INFO:Declaring metric variables
- 2022-01-17 16:21:05,414:INFO:Importing untrained model
- 2022-01-17 16:21:05,418:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 16:21:05,428:INFO:Starting cross validation
- 2022-01-17 16:21:05,429:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:05,540:INFO:Calculating mean and std
- 2022-01-17 16:21:05,540:INFO:Creating metrics dataframe
- 2022-01-17 16:21:05,543:INFO:Uploading results into container
- 2022-01-17 16:21:05,543:INFO:Uploading model into container now
- 2022-01-17 16:21:05,543:INFO:create_model_container: 14
- 2022-01-17 16:21:05,544:INFO:master_model_container: 14
- 2022-01-17 16:21:05,544:INFO:display_container: 2
- 2022-01-17 16:21:05,544:INFO:DummyClassifier(constant=None, random_state=424, strategy='prior')
- 2022-01-17 16:21:05,544:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:21:05,616:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:21:05,616:INFO:Creating metrics dataframe
- 2022-01-17 16:21:05,641:INFO:Initializing create_model()
- 2022-01-17 16:21:05,641:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- 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={})
- 2022-01-17 16:21:05,642:INFO:Checking exceptions
- 2022-01-17 16:21:05,642:INFO:Importing libraries
- 2022-01-17 16:21:05,642:INFO:Copying training dataset
- 2022-01-17 16:21:05,643:INFO:Defining folds
- 2022-01-17 16:21:05,643:INFO:Declaring metric variables
- 2022-01-17 16:21:05,643:INFO:Importing untrained model
- 2022-01-17 16:21:05,643:INFO:Declaring custom model
- 2022-01-17 16:21:05,644:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:21:05,644:INFO:Cross validation set to False
- 2022-01-17 16:21:05,644:INFO:Fitting Model
- 2022-01-17 16:21:06,028:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-17 16:21:06,028:INFO:create_models() succesfully completed......................................
- 2022-01-17 16:21:06,141:INFO:create_model_container: 14
- 2022-01-17 16:21:06,142:INFO:master_model_container: 14
- 2022-01-17 16:21:06,142:INFO:display_container: 2
- 2022-01-17 16:21:06,142:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-17 16:21:06,142:INFO:compare_models() succesfully completed......................................
- 2022-01-17 16:21:25,578:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:21:25,578:INFO:Checking exceptions
- 2022-01-17 16:21:25,578:INFO:Preparing display monitor
- 2022-01-17 16:21:25,589:INFO:Importing libraries
- 2022-01-17 16:21:25,589:INFO:Copying training dataset
- 2022-01-17 16:21:25,590:INFO:Defining folds
- 2022-01-17 16:21:25,591:INFO:Declaring metric variables
- 2022-01-17 16:21:25,595:INFO:Importing untrained model
- 2022-01-17 16:21:25,600:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:21:25,610:INFO:Starting cross validation
- 2022-01-17 16:21:25,611:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:26,551:INFO:Calculating mean and std
- 2022-01-17 16:21:26,552:INFO:Creating metrics dataframe
- 2022-01-17 16:21:26,559:INFO:Finalizing model
- 2022-01-17 16:21:26,651:INFO:Uploading results into container
- 2022-01-17 16:21:26,651:INFO:Uploading model into container now
- 2022-01-17 16:21:26,661:INFO:create_model_container: 15
- 2022-01-17 16:21:26,661:INFO:master_model_container: 15
- 2022-01-17 16:21:26,661:INFO:display_container: 3
- 2022-01-17 16:21:26,662:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:21:26,662:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:21:31,473:INFO:Initializing evaluate_model()
- 2022-01-17 16:21:31,473:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:21:31,484:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:21:31,484:INFO:Checking exceptions
- 2022-01-17 16:21:31,485:INFO:Preparing display monitor
- 2022-01-17 16:21:31,489:INFO:Preloading libraries
- 2022-01-17 16:21:31,490:INFO:Copying training dataset
- 2022-01-17 16:21:31,491:INFO:Copying test dataset
- 2022-01-17 16:21:31,491:INFO:Plot type: parameter
- 2022-01-17 16:21:31,496:INFO:Visual Rendered Successfully
- 2022-01-17 16:21:31,577:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:21:40,997:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:21:40,998:INFO:Checking exceptions
- 2022-01-17 16:21:40,999:INFO:Preparing display monitor
- 2022-01-17 16:21:41,003:INFO:Preloading libraries
- 2022-01-17 16:21:41,004:INFO:Copying training dataset
- 2022-01-17 16:21:41,005:INFO:Copying test dataset
- 2022-01-17 16:21:41,006:INFO:Plot type: feature
- 2022-01-17 16:21:41,007:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:21:41,081:INFO:Visual Rendered Successfully
- 2022-01-17 16:21:41,162:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:21:57,784:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:21:57,785:INFO:Checking exceptions
- 2022-01-17 16:21:57,785:INFO:Preparing display monitor
- 2022-01-17 16:21:57,796:INFO:Importing libraries
- 2022-01-17 16:21:57,796:INFO:Copying training dataset
- 2022-01-17 16:21:57,797:INFO:Defining folds
- 2022-01-17 16:21:57,798:INFO:Declaring metric variables
- 2022-01-17 16:21:57,803:INFO:Importing untrained model
- 2022-01-17 16:21:57,807:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:21:57,817:INFO:Starting cross validation
- 2022-01-17 16:21:57,818:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:58,752:INFO:Calculating mean and std
- 2022-01-17 16:21:58,753:INFO:Creating metrics dataframe
- 2022-01-17 16:21:58,759:INFO:Finalizing model
- 2022-01-17 16:21:58,850:INFO:Uploading results into container
- 2022-01-17 16:21:58,851:INFO:Uploading model into container now
- 2022-01-17 16:21:58,860:INFO:create_model_container: 16
- 2022-01-17 16:21:58,860:INFO:master_model_container: 16
- 2022-01-17 16:21:58,861:INFO:display_container: 4
- 2022-01-17 16:21:58,861:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:21:58,861:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:22:01,309:INFO:Initializing tune_model()
- 2022-01-17 16:22:01,309:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-17 16:22:01,310:INFO:Checking exceptions
- 2022-01-17 16:22:01,311:INFO:Preparing display monitor
- 2022-01-17 16:22:01,324:INFO:Copying training dataset
- 2022-01-17 16:22:01,325:INFO:Checking base model
- 2022-01-17 16:22:01,325:INFO:Base model : Decision Tree Classifier
- 2022-01-17 16:22:01,331:INFO:Declaring metric variables
- 2022-01-17 16:22:01,337:INFO:Defining Hyperparameters
- 2022-01-17 16:22:01,419:INFO:Tuning with n_jobs=-1
- 2022-01-17 16:22:01,420:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-17 16:22:02,742:INFO:Hyperparameter search completed
- 2022-01-17 16:22:02,742:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:22:02,742:INFO:Initializing create_model()
- 2022-01-17 16:22:02,742:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-17 16:22:02,743:INFO:Checking exceptions
- 2022-01-17 16:22:02,743:INFO:Importing libraries
- 2022-01-17 16:22:02,743:INFO:Copying training dataset
- 2022-01-17 16:22:02,744:INFO:Defining folds
- 2022-01-17 16:22:02,744:INFO:Declaring metric variables
- 2022-01-17 16:22:02,749:INFO:Importing untrained model
- 2022-01-17 16:22:02,749:INFO:Declaring custom model
- 2022-01-17 16:22:02,754:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:22:02,765:INFO:Starting cross validation
- 2022-01-17 16:22:02,765:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:22:03,022:INFO:Calculating mean and std
- 2022-01-17 16:22:03,022:INFO:Creating metrics dataframe
- 2022-01-17 16:22:03,029:INFO:Finalizing model
- 2022-01-17 16:22:03,047:INFO:Uploading results into container
- 2022-01-17 16:22:03,048:INFO:Uploading model into container now
- 2022-01-17 16:22:03,048:INFO:create_model_container: 17
- 2022-01-17 16:22:03,048:INFO:master_model_container: 17
- 2022-01-17 16:22:03,048:INFO:display_container: 5
- 2022-01-17 16:22:03,049:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:22:03,049:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:22:03,129:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:22:03,138:INFO:create_model_container: 17
- 2022-01-17 16:22:03,139:INFO:master_model_container: 17
- 2022-01-17 16:22:03,139:INFO:display_container: 5
- 2022-01-17 16:22:03,139:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:22:03,139:INFO:tune_model() succesfully completed......................................
- 2022-01-17 16:22:20,303:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:22:20,304:INFO:Checking exceptions
- 2022-01-17 16:22:20,304:INFO:Preparing display monitor
- 2022-01-17 16:22:20,315:INFO:Importing libraries
- 2022-01-17 16:22:20,315:INFO:Copying training dataset
- 2022-01-17 16:22:20,316:INFO:Defining folds
- 2022-01-17 16:22:20,316:INFO:Declaring metric variables
- 2022-01-17 16:22:20,321:INFO:Importing untrained model
- 2022-01-17 16:22:20,326:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:22:20,336:INFO:Starting cross validation
- 2022-01-17 16:22:20,336:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:22:21,284:INFO:Calculating mean and std
- 2022-01-17 16:22:21,285:INFO:Creating metrics dataframe
- 2022-01-17 16:22:21,291:INFO:Finalizing model
- 2022-01-17 16:22:21,386:INFO:Uploading results into container
- 2022-01-17 16:22:21,386:INFO:Uploading model into container now
- 2022-01-17 16:22:21,396:INFO:create_model_container: 18
- 2022-01-17 16:22:21,396:INFO:master_model_container: 18
- 2022-01-17 16:22:21,396:INFO:display_container: 6
- 2022-01-17 16:22:21,396:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:22:21,396:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:22:25,374:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:22:25,374:INFO:Checking exceptions
- 2022-01-17 16:22:25,374:INFO:Preparing display monitor
- 2022-01-17 16:22:25,385:INFO:Importing libraries
- 2022-01-17 16:22:25,386:INFO:Copying training dataset
- 2022-01-17 16:22:25,387:INFO:Defining folds
- 2022-01-17 16:22:25,387:INFO:Declaring metric variables
- 2022-01-17 16:22:25,393:INFO:Importing untrained model
- 2022-01-17 16:22:25,398:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 16:22:25,408:INFO:Starting cross validation
- 2022-01-17 16:22:25,409:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:22:41,934:INFO:Calculating mean and std
- 2022-01-17 16:22:41,935:INFO:Creating metrics dataframe
- 2022-01-17 16:22:41,942:INFO:Finalizing model
- 2022-01-17 16:22:43,431:INFO:Uploading results into container
- 2022-01-17 16:22:43,431:INFO:Uploading model into container now
- 2022-01-17 16:22:43,440:INFO:create_model_container: 19
- 2022-01-17 16:22:43,440:INFO:master_model_container: 19
- 2022-01-17 16:22:43,440:INFO:display_container: 7
- 2022-01-17 16:22:43,441:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 16:22:43,441:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:22:51,041:INFO:Initializing evaluate_model()
- 2022-01-17 16:22:51,041:INFO:evaluate_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:22:51,053:INFO:Initializing plot_model()
- 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',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:22:51,054:INFO:Checking exceptions
- 2022-01-17 16:22:51,055:INFO:Preparing display monitor
- 2022-01-17 16:22:51,060:INFO:Preloading libraries
- 2022-01-17 16:22:51,063:INFO:Copying training dataset
- 2022-01-17 16:22:51,064:INFO:Copying test dataset
- 2022-01-17 16:22:51,064:INFO:Plot type: parameter
- 2022-01-17 16:22:51,068:INFO:Visual Rendered Successfully
- 2022-01-17 16:22:51,155:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:22:53,286:INFO:Initializing plot_model()
- 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',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:22:53,287:INFO:Checking exceptions
- 2022-01-17 16:22:53,288:INFO:Preparing display monitor
- 2022-01-17 16:22:53,291:INFO:Preloading libraries
- 2022-01-17 16:22:53,294:INFO:Copying training dataset
- 2022-01-17 16:22:53,295:INFO:Copying test dataset
- 2022-01-17 16:22:53,295:INFO:Plot type: confusion_matrix
- 2022-01-17 16:22:53,296:INFO:Initializing get_config()
- 2022-01-17 16:22:53,296:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:22:53,299:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:22:53,299:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:22:53,300:INFO:Fitting Model
- 2022-01-17 16:22:53,306:INFO:Scoring test/hold-out set
- 2022-01-17 16:22:58,388:INFO:Visual Rendered Successfully
- 2022-01-17 16:22:58,458:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:23:02,216:INFO:Initializing plot_model()
- 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',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:02,216:INFO:Checking exceptions
- 2022-01-17 16:23:04,690:INFO:Initializing plot_model()
- 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',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:04,691:INFO:Checking exceptions
- 2022-01-17 16:23:10,866:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:23:10,866:INFO:Checking exceptions
- 2022-01-17 16:23:10,867:INFO:Preparing display monitor
- 2022-01-17 16:23:10,877:INFO:Importing libraries
- 2022-01-17 16:23:10,878:INFO:Copying training dataset
- 2022-01-17 16:23:10,879:INFO:Defining folds
- 2022-01-17 16:23:10,879:INFO:Declaring metric variables
- 2022-01-17 16:23:10,884:INFO:Importing untrained model
- 2022-01-17 16:23:10,889:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:23:10,899:INFO:Starting cross validation
- 2022-01-17 16:23:10,900:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:23:11,844:INFO:Calculating mean and std
- 2022-01-17 16:23:11,845:INFO:Creating metrics dataframe
- 2022-01-17 16:23:11,852:INFO:Finalizing model
- 2022-01-17 16:23:11,947:INFO:Uploading results into container
- 2022-01-17 16:23:11,947:INFO:Uploading model into container now
- 2022-01-17 16:23:11,957:INFO:create_model_container: 20
- 2022-01-17 16:23:11,957:INFO:master_model_container: 20
- 2022-01-17 16:23:11,957:INFO:display_container: 8
- 2022-01-17 16:23:11,957:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:23:11,957:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:23:16,238:INFO:Initializing evaluate_model()
- 2022-01-17 16:23:16,238:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:23:16,249:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:16,249:INFO:Checking exceptions
- 2022-01-17 16:23:16,250:INFO:Preparing display monitor
- 2022-01-17 16:23:16,254:INFO:Preloading libraries
- 2022-01-17 16:23:16,255:INFO:Copying training dataset
- 2022-01-17 16:23:16,256:INFO:Copying test dataset
- 2022-01-17 16:23:16,256:INFO:Plot type: parameter
- 2022-01-17 16:23:16,261:INFO:Visual Rendered Successfully
- 2022-01-17 16:23:16,339:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:23:18,308:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:18,308:INFO:Checking exceptions
- 2022-01-17 16:23:18,309:INFO:Preparing display monitor
- 2022-01-17 16:23:18,313:INFO:Preloading libraries
- 2022-01-17 16:23:18,314:INFO:Copying training dataset
- 2022-01-17 16:23:18,315:INFO:Copying test dataset
- 2022-01-17 16:23:18,315:INFO:Plot type: feature
- 2022-01-17 16:23:18,316:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:23:18,390:INFO:Visual Rendered Successfully
- 2022-01-17 16:23:18,465:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:23:20,332:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:23:20,333:INFO:Checking exceptions
- 2022-01-17 16:23:20,333:INFO:Preparing display monitor
- 2022-01-17 16:23:20,338:INFO:Preloading libraries
- 2022-01-17 16:23:20,338:INFO:Copying training dataset
- 2022-01-17 16:23:20,339:INFO:Copying test dataset
- 2022-01-17 16:23:20,340:INFO:Plot type: feature_all
- 2022-01-17 16:23:20,341:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:23:20,551:INFO:Visual Rendered Successfully
- 2022-01-17 16:23:20,630:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:23:23,527:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:23,527:INFO:Checking exceptions
- 2022-01-17 16:23:23,528:INFO:Preparing display monitor
- 2022-01-17 16:23:23,532:INFO:Preloading libraries
- 2022-01-17 16:23:23,533:INFO:Copying training dataset
- 2022-01-17 16:23:23,534:INFO:Copying test dataset
- 2022-01-17 16:23:23,534:INFO:Plot type: feature
- 2022-01-17 16:23:23,535:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:23:23,608:INFO:Visual Rendered Successfully
- 2022-01-17 16:23:23,685:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:25:43,316:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:25:43,316:INFO:Checking exceptions
- 2022-01-17 16:25:43,317:INFO:Preparing display monitor
- 2022-01-17 16:25:43,321:INFO:Preloading libraries
- 2022-01-17 16:25:43,322:INFO:Copying training dataset
- 2022-01-17 16:25:43,322:INFO:Copying test dataset
- 2022-01-17 16:25:43,323:INFO:Plot type: feature_all
- 2022-01-17 16:25:43,324:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:25:43,535:INFO:Visual Rendered Successfully
- 2022-01-17 16:25:43,610:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:29:27,421:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:29:27,421:INFO:Checking exceptions
- 2022-01-17 16:29:27,422:INFO:Preparing display monitor
- 2022-01-17 16:29:27,426:INFO:Preloading libraries
- 2022-01-17 16:29:27,427:INFO:Copying training dataset
- 2022-01-17 16:29:27,428:INFO:Copying test dataset
- 2022-01-17 16:29:27,428:INFO:Plot type: feature
- 2022-01-17 16:29:27,429:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:29:27,505:INFO:Visual Rendered Successfully
- 2022-01-17 16:29:27,591:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:30:26,479:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:30:26,480:INFO:Checking exceptions
- 2022-01-17 16:30:26,481:INFO:Preparing display monitor
- 2022-01-17 16:30:26,484:INFO:Preloading libraries
- 2022-01-17 16:30:26,485:INFO:Copying training dataset
- 2022-01-17 16:30:26,486:INFO:Copying test dataset
- 2022-01-17 16:30:26,486:INFO:Plot type: confusion_matrix
- 2022-01-17 16:30:26,487:INFO:Initializing get_config()
- 2022-01-17 16:30:26,487:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:30:26,491:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:30:26,491:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:30:26,491:INFO:Fitting Model
- 2022-01-17 16:30:26,492:INFO:Scoring test/hold-out set
- 2022-01-17 16:30:26,577:INFO:Visual Rendered Successfully
- 2022-01-17 16:30:26,650:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:30:54,379:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:30:54,379:INFO:Checking exceptions
- 2022-01-17 16:30:54,380:INFO:Preparing display monitor
- 2022-01-17 16:30:54,384:INFO:Preloading libraries
- 2022-01-17 16:30:54,385:INFO:Copying training dataset
- 2022-01-17 16:30:54,386:INFO:Copying test dataset
- 2022-01-17 16:30:54,386:INFO:Plot type: feature
- 2022-01-17 16:30:54,387:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:30:54,461:INFO:Visual Rendered Successfully
- 2022-01-17 16:30:54,542:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:30:58,346:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:30:58,346:INFO:Checking exceptions
- 2022-01-17 16:30:58,347:INFO:Preparing display monitor
- 2022-01-17 16:30:58,351:INFO:Preloading libraries
- 2022-01-17 16:30:58,352:INFO:Copying training dataset
- 2022-01-17 16:30:58,352:INFO:Copying test dataset
- 2022-01-17 16:30:58,353:INFO:Plot type: feature_all
- 2022-01-17 16:30:58,354:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:30:58,568:INFO:Visual Rendered Successfully
- 2022-01-17 16:30:58,648:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:31:23,578:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:31:23,578:INFO:Checking exceptions
- 2022-01-17 16:31:23,579:INFO:Preparing display monitor
- 2022-01-17 16:31:23,583:INFO:Preloading libraries
- 2022-01-17 16:31:23,584:INFO:Copying training dataset
- 2022-01-17 16:31:23,585:INFO:Copying test dataset
- 2022-01-17 16:31:23,586:INFO:Plot type: feature
- 2022-01-17 16:31:23,587:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:31:23,662:INFO:Visual Rendered Successfully
- 2022-01-17 16:31:23,741:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:33:31,624:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:33:31,624:INFO:Checking exceptions
- 2022-01-17 16:33:31,625:INFO:Preparing display monitor
- 2022-01-17 16:33:31,630:INFO:Preloading libraries
- 2022-01-17 16:33:31,631:INFO:Copying training dataset
- 2022-01-17 16:33:31,632:INFO:Copying test dataset
- 2022-01-17 16:33:31,632:INFO:Plot type: feature_all
- 2022-01-17 16:33:31,633:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:33:31,871:INFO:Visual Rendered Successfully
- 2022-01-17 16:33:31,956:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:42:17,265:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:42:17,265:INFO:Checking exceptions
- 2022-01-17 16:42:17,266:INFO:Preparing display monitor
- 2022-01-17 16:42:17,271:INFO:Preloading libraries
- 2022-01-17 16:42:17,271:INFO:Copying training dataset
- 2022-01-17 16:42:17,272:INFO:Copying test dataset
- 2022-01-17 16:42:17,273:INFO:Plot type: boundary
- 2022-01-17 16:42:17,277:INFO:Fitting StandardScaler()
- 2022-01-17 16:42:17,296:INFO:Fitting PCA()
- 2022-01-17 16:42:17,487:INFO:Initializing get_config()
- 2022-01-17 16:42:17,490:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:42:17,495:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:42:17,501:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:42:17,502:INFO:Fitting Model
- 2022-01-17 16:42:18,546:INFO:Visual Rendered Successfully
- 2022-01-17 16:42:18,654:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:47:25,336:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:47:25,336:INFO:Checking exceptions
- 2022-01-17 16:47:25,337:INFO:Preparing display monitor
- 2022-01-17 16:47:25,341:INFO:Preloading libraries
- 2022-01-17 16:47:25,342:INFO:Copying training dataset
- 2022-01-17 16:47:25,343:INFO:Copying test dataset
- 2022-01-17 16:47:25,343:INFO:Plot type: gain
- 2022-01-17 16:47:25,344:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 16:47:25,438:INFO:Visual Rendered Successfully
- 2022-01-17 16:47:25,525:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:47:27,740:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:47:27,740:INFO:Checking exceptions
- 2022-01-17 16:47:27,741:INFO:Preparing display monitor
- 2022-01-17 16:47:27,745:INFO:Preloading libraries
- 2022-01-17 16:47:27,746:INFO:Copying training dataset
- 2022-01-17 16:47:27,747:INFO:Copying test dataset
- 2022-01-17 16:47:27,747:INFO:Plot type: tree
- 2022-01-17 16:47:27,756:INFO:Plotting decision trees
- 2022-01-17 16:47:27,756:INFO:Plotting tree 0
- 2022-01-17 16:48:17,096:INFO:Visual Rendered Successfully
- 2022-01-17 16:48:17,209:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:51:12,283:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:51:12,283:INFO:Checking exceptions
- 2022-01-17 16:51:12,284:INFO:Preparing display monitor
- 2022-01-17 16:51:12,288:INFO:Preloading libraries
- 2022-01-17 16:51:12,289:INFO:Copying training dataset
- 2022-01-17 16:51:12,290:INFO:Copying test dataset
- 2022-01-17 16:51:12,290:INFO:Plot type: ks
- 2022-01-17 16:51:12,291:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 16:51:12,401:INFO:Visual Rendered Successfully
- 2022-01-17 16:51:12,488:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:51:17,944:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:51:17,944:INFO:Checking exceptions
- 2022-01-17 16:51:17,945:INFO:Preparing display monitor
- 2022-01-17 16:51:17,949:INFO:Preloading libraries
- 2022-01-17 16:51:17,950:INFO:Copying training dataset
- 2022-01-17 16:51:17,951:INFO:Copying test dataset
- 2022-01-17 16:51:17,952:INFO:Plot type: class_report
- 2022-01-17 16:51:17,953:INFO:Initializing get_config()
- 2022-01-17 16:51:17,953:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:51:17,956:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:51:17,956:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:51:17,956:INFO:Fitting Model
- 2022-01-17 16:51:17,957:INFO:Scoring test/hold-out set
- 2022-01-17 16:51:18,078:INFO:Visual Rendered Successfully
- 2022-01-17 16:51:18,148:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:51:20,295:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:51:20,296:INFO:Checking exceptions
- 2022-01-17 16:51:20,297:INFO:Preparing display monitor
- 2022-01-17 16:51:20,300:INFO:Preloading libraries
- 2022-01-17 16:51:20,301:INFO:Copying training dataset
- 2022-01-17 16:51:20,302:INFO:Copying test dataset
- 2022-01-17 16:51:20,303:INFO:Plot type: rfe
- 2022-01-17 16:51:20,305:INFO:Fitting Model
- 2022-01-17 17:00:37,512:INFO:Visual Rendered Successfully
- 2022-01-17 17:00:37,586:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:14:57,081:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:14:57,082:INFO:Checking exceptions
- 2022-01-18 14:15:10,182:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:15:10,183:INFO:Checking exceptions
- 2022-01-18 14:15:10,183:INFO:Preparing display monitor
- 2022-01-18 14:15:10,197:INFO:Importing libraries
- 2022-01-18 14:15:10,197:INFO:Copying training dataset
- 2022-01-18 14:15:10,199:INFO:Defining folds
- 2022-01-18 14:15:10,199:INFO:Declaring metric variables
- 2022-01-18 14:15:10,205:INFO:Importing untrained model
- 2022-01-18 14:15:10,210:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:15:10,220:INFO:Starting cross validation
- 2022-01-18 14:15:10,221:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:15:17,630:INFO:Calculating mean and std
- 2022-01-18 14:15:17,631:INFO:Creating metrics dataframe
- 2022-01-18 14:15:17,639:INFO:Finalizing model
- 2022-01-18 14:15:18,022:INFO:Uploading results into container
- 2022-01-18 14:15:18,022:INFO:Uploading model into container now
- 2022-01-18 14:15:18,033:INFO:create_model_container: 21
- 2022-01-18 14:15:18,033:INFO:master_model_container: 21
- 2022-01-18 14:15:18,033:INFO:display_container: 9
- 2022-01-18 14:15:18,034:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-18 14:15:18,034:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:17:27,784:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:17:27,785:INFO:Checking exceptions
- 2022-01-18 14:18:02,077:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:18:02,078:INFO:Checking exceptions
- 2022-01-18 14:18:02,078:INFO:Preparing display monitor
- 2022-01-18 14:18:02,089:INFO:Importing libraries
- 2022-01-18 14:18:02,090:INFO:Copying training dataset
- 2022-01-18 14:18:02,092:INFO:Defining folds
- 2022-01-18 14:18:02,092:INFO:Declaring metric variables
- 2022-01-18 14:18:02,096:INFO:Importing untrained model
- 2022-01-18 14:18:02,101:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:18:02,112:INFO:Starting cross validation
- 2022-01-18 14:18:02,112:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:18:08,661:INFO:Calculating mean and std
- 2022-01-18 14:18:08,662:INFO:Creating metrics dataframe
- 2022-01-18 14:18:08,669:INFO:Finalizing model
- 2022-01-18 14:18:09,045:INFO:Uploading results into container
- 2022-01-18 14:18:09,045:INFO:Uploading model into container now
- 2022-01-18 14:18:09,055:INFO:create_model_container: 22
- 2022-01-18 14:18:09,055:INFO:master_model_container: 22
- 2022-01-18 14:18:09,056:INFO:display_container: 10
- 2022-01-18 14:18:09,056:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-18 14:18:09,056:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:21:49,983:INFO:Initializing tune_model()
- 2022-01-18 14:21:49,983:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- 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={})
- 2022-01-18 14:21:49,984:INFO:Checking exceptions
- 2022-01-18 14:21:49,985:INFO:Preparing display monitor
- 2022-01-18 14:21:49,996:INFO:Copying training dataset
- 2022-01-18 14:21:49,997:INFO:Checking base model
- 2022-01-18 14:21:49,997:INFO:Base model : Random Forest Classifier
- 2022-01-18 14:21:50,002:INFO:Declaring metric variables
- 2022-01-18 14:21:50,007:INFO:Defining Hyperparameters
- 2022-01-18 14:21:50,099:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:21:50,099:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 14:22:05,925:INFO:Hyperparameter search completed
- 2022-01-18 14:22:05,925:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:22:05,925:INFO:Initializing create_model()
- 2022-01-18 14:22:05,926:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, 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 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})
- 2022-01-18 14:22:05,926:INFO:Checking exceptions
- 2022-01-18 14:22:05,926:INFO:Importing libraries
- 2022-01-18 14:22:05,926:INFO:Copying training dataset
- 2022-01-18 14:22:05,927:INFO:Defining folds
- 2022-01-18 14:22:05,927:INFO:Declaring metric variables
- 2022-01-18 14:22:05,933:INFO:Importing untrained model
- 2022-01-18 14:22:05,933:INFO:Declaring custom model
- 2022-01-18 14:22:05,938:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:22:05,948:INFO:Starting cross validation
- 2022-01-18 14:22:05,949:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:22:08,767:INFO:Calculating mean and std
- 2022-01-18 14:22:08,768:INFO:Creating metrics dataframe
- 2022-01-18 14:22:08,776:INFO:Finalizing model
- 2022-01-18 14:22:08,998:INFO:Uploading results into container
- 2022-01-18 14:22:08,999:INFO:Uploading model into container now
- 2022-01-18 14:22:08,999:INFO:create_model_container: 23
- 2022-01-18 14:22:08,999:INFO:master_model_container: 23
- 2022-01-18 14:22:08,999:INFO:display_container: 11
- 2022-01-18 14:22:09,000:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
- class_weight='balanced_subsample', criterion='entropy',
- max_depth=10, max_features='sqrt', max_leaf_nodes=None,
- max_samples=None, min_impurity_decrease=0.002,
- min_impurity_split=None, min_samples_leaf=3,
- min_samples_split=10, min_weight_fraction_leaf=0.0,
- n_estimators=30, n_jobs=-1, oob_score=False,
- random_state=424, verbose=0, warm_start=False)
- 2022-01-18 14:22:09,000:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:22:09,072:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:22:09,082:INFO:create_model_container: 23
- 2022-01-18 14:22:09,082:INFO:master_model_container: 23
- 2022-01-18 14:22:09,082:INFO:display_container: 11
- 2022-01-18 14:22:09,083:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
- class_weight='balanced_subsample', criterion='entropy',
- max_depth=10, max_features='sqrt', max_leaf_nodes=None,
- max_samples=None, min_impurity_decrease=0.002,
- min_impurity_split=None, min_samples_leaf=3,
- min_samples_split=10, min_weight_fraction_leaf=0.0,
- n_estimators=30, n_jobs=-1, oob_score=False,
- random_state=424, verbose=0, warm_start=False)
- 2022-01-18 14:22:09,083:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:22:41,168:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:22:41,169:INFO:Checking exceptions
- 2022-01-18 14:22:41,169:INFO:Preparing display monitor
- 2022-01-18 14:22:41,180:INFO:Importing libraries
- 2022-01-18 14:22:41,180:INFO:Copying training dataset
- 2022-01-18 14:22:41,182:INFO:Defining folds
- 2022-01-18 14:22:41,182:INFO:Declaring metric variables
- 2022-01-18 14:22:41,187:INFO:Importing untrained model
- 2022-01-18 14:22:41,192:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:22:41,203:INFO:Starting cross validation
- 2022-01-18 14:22:41,204:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:22:42,162:INFO:Calculating mean and std
- 2022-01-18 14:22:42,163:INFO:Creating metrics dataframe
- 2022-01-18 14:22:42,170:INFO:Finalizing model
- 2022-01-18 14:22:42,263:INFO:Uploading results into container
- 2022-01-18 14:22:42,264:INFO:Uploading model into container now
- 2022-01-18 14:22:42,273:INFO:create_model_container: 24
- 2022-01-18 14:22:42,273:INFO:master_model_container: 24
- 2022-01-18 14:22:42,273:INFO:display_container: 12
- 2022-01-18 14:22:42,274:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:22:42,274:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:22:45,644:INFO:Initializing tune_model()
- 2022-01-18 14:22:45,645:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:22:45,645:INFO:Checking exceptions
- 2022-01-18 14:22:45,646:INFO:Preparing display monitor
- 2022-01-18 14:22:45,657:INFO:Copying training dataset
- 2022-01-18 14:22:45,658:INFO:Checking base model
- 2022-01-18 14:22:45,658:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:22:45,663:INFO:Declaring metric variables
- 2022-01-18 14:22:45,668:INFO:Defining Hyperparameters
- 2022-01-18 14:22:45,746:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:22:45,746:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:22:46,171:INFO:Hyperparameter search completed
- 2022-01-18 14:22:46,172:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:22:46,172:INFO:Initializing create_model()
- 2022-01-18 14:22:46,172:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:22:46,173:INFO:Checking exceptions
- 2022-01-18 14:22:46,173:INFO:Importing libraries
- 2022-01-18 14:22:46,173:INFO:Copying training dataset
- 2022-01-18 14:22:46,174:INFO:Defining folds
- 2022-01-18 14:22:46,174:INFO:Declaring metric variables
- 2022-01-18 14:22:46,180:INFO:Importing untrained model
- 2022-01-18 14:22:46,180:INFO:Declaring custom model
- 2022-01-18 14:22:46,186:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:22:46,196:INFO:Starting cross validation
- 2022-01-18 14:22:46,196:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:22:46,517:INFO:Calculating mean and std
- 2022-01-18 14:22:46,518:INFO:Creating metrics dataframe
- 2022-01-18 14:22:46,525:INFO:Finalizing model
- 2022-01-18 14:22:46,548:INFO:Uploading results into container
- 2022-01-18 14:22:46,549:INFO:Uploading model into container now
- 2022-01-18 14:22:46,549:INFO:create_model_container: 25
- 2022-01-18 14:22:46,549:INFO:master_model_container: 25
- 2022-01-18 14:22:46,549:INFO:display_container: 13
- 2022-01-18 14:22:46,550:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=4, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.01, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=9,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:22:46,550:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:22:46,631:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:22:46,640:INFO:create_model_container: 25
- 2022-01-18 14:22:46,640:INFO:master_model_container: 25
- 2022-01-18 14:22:46,641:INFO:display_container: 13
- 2022-01-18 14:22:46,641:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=4, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.01, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=9,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:22:46,641:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:00,551:INFO:Initializing tune_model()
- 2022-01-18 14:23:00,552:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:00,552:INFO:Checking exceptions
- 2022-01-18 14:23:04,002:INFO:Initializing tune_model()
- 2022-01-18 14:23:04,002:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:04,002:INFO:Checking exceptions
- 2022-01-18 14:23:08,098:INFO:Initializing tune_model()
- 2022-01-18 14:23:08,098:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:08,099:INFO:Checking exceptions
- 2022-01-18 14:23:08,100:INFO:Preparing display monitor
- 2022-01-18 14:23:08,112:INFO:Copying training dataset
- 2022-01-18 14:23:08,113:INFO:Checking base model
- 2022-01-18 14:23:08,113:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:08,119:INFO:Declaring metric variables
- 2022-01-18 14:23:08,124:INFO:Defining Hyperparameters
- 2022-01-18 14:23:08,207:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:08,207:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:08,636:INFO:Hyperparameter search completed
- 2022-01-18 14:23:08,636:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:08,637:INFO:Initializing create_model()
- 2022-01-18 14:23:08,637:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:08,637:INFO:Checking exceptions
- 2022-01-18 14:23:08,637:INFO:Importing libraries
- 2022-01-18 14:23:08,637:INFO:Copying training dataset
- 2022-01-18 14:23:08,639:INFO:Defining folds
- 2022-01-18 14:23:08,639:INFO:Declaring metric variables
- 2022-01-18 14:23:08,644:INFO:Importing untrained model
- 2022-01-18 14:23:08,644:INFO:Declaring custom model
- 2022-01-18 14:23:08,649:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:08,658:INFO:Starting cross validation
- 2022-01-18 14:23:08,659:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:08,921:INFO:Calculating mean and std
- 2022-01-18 14:23:08,921:INFO:Creating metrics dataframe
- 2022-01-18 14:23:08,928:INFO:Finalizing model
- 2022-01-18 14:23:08,944:INFO:Uploading results into container
- 2022-01-18 14:23:08,944:INFO:Uploading model into container now
- 2022-01-18 14:23:08,944:INFO:create_model_container: 26
- 2022-01-18 14:23:08,944:INFO:master_model_container: 26
- 2022-01-18 14:23:08,944:INFO:display_container: 14
- 2022-01-18 14:23:08,945:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:08,945:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:09,029:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:09,039:INFO:create_model_container: 26
- 2022-01-18 14:23:09,039:INFO:master_model_container: 26
- 2022-01-18 14:23:09,039:INFO:display_container: 14
- 2022-01-18 14:23:09,040:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:09,040:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:19,531:INFO:Initializing tune_model()
- 2022-01-18 14:23:19,531:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:19,532:INFO:Checking exceptions
- 2022-01-18 14:23:19,532:INFO:Preparing display monitor
- 2022-01-18 14:23:19,544:INFO:Copying training dataset
- 2022-01-18 14:23:19,545:INFO:Checking base model
- 2022-01-18 14:23:19,545:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:19,551:INFO:Declaring metric variables
- 2022-01-18 14:23:19,557:INFO:Defining Hyperparameters
- 2022-01-18 14:23:19,640:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:19,641:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:20,079:INFO:Hyperparameter search completed
- 2022-01-18 14:23:20,079:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:20,079:INFO:Initializing create_model()
- 2022-01-18 14:23:20,080:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:20,080:INFO:Checking exceptions
- 2022-01-18 14:23:20,080:INFO:Importing libraries
- 2022-01-18 14:23:20,080:INFO:Copying training dataset
- 2022-01-18 14:23:20,081:INFO:Defining folds
- 2022-01-18 14:23:20,081:INFO:Declaring metric variables
- 2022-01-18 14:23:20,087:INFO:Importing untrained model
- 2022-01-18 14:23:20,087:INFO:Declaring custom model
- 2022-01-18 14:23:20,092:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:20,102:INFO:Starting cross validation
- 2022-01-18 14:23:20,103:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:20,376:INFO:Calculating mean and std
- 2022-01-18 14:23:20,377:INFO:Creating metrics dataframe
- 2022-01-18 14:23:20,384:INFO:Finalizing model
- 2022-01-18 14:23:20,400:INFO:Uploading results into container
- 2022-01-18 14:23:20,400:INFO:Uploading model into container now
- 2022-01-18 14:23:20,400:INFO:create_model_container: 27
- 2022-01-18 14:23:20,401:INFO:master_model_container: 27
- 2022-01-18 14:23:20,401:INFO:display_container: 15
- 2022-01-18 14:23:20,401:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features='sqrt', max_leaf_nodes=None,
- min_impurity_decrease=0.0001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:20,401:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:20,478:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:20,487:INFO:create_model_container: 27
- 2022-01-18 14:23:20,488:INFO:master_model_container: 27
- 2022-01-18 14:23:20,488:INFO:display_container: 15
- 2022-01-18 14:23:20,488:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features='sqrt', max_leaf_nodes=None,
- min_impurity_decrease=0.0001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:20,488:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:32,000:INFO:Initializing tune_model()
- 2022-01-18 14:23:32,001:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:32,001:INFO:Checking exceptions
- 2022-01-18 14:23:32,002:INFO:Preparing display monitor
- 2022-01-18 14:23:32,014:INFO:Copying training dataset
- 2022-01-18 14:23:32,015:INFO:Checking base model
- 2022-01-18 14:23:32,015:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:32,021:INFO:Declaring metric variables
- 2022-01-18 14:23:32,026:INFO:Defining Hyperparameters
- 2022-01-18 14:23:32,109:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:32,109:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:32,533:INFO:Hyperparameter search completed
- 2022-01-18 14:23:32,533:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:32,534:INFO:Initializing create_model()
- 2022-01-18 14:23:32,534:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:32,534:INFO:Checking exceptions
- 2022-01-18 14:23:32,534:INFO:Importing libraries
- 2022-01-18 14:23:32,534:INFO:Copying training dataset
- 2022-01-18 14:23:32,536:INFO:Defining folds
- 2022-01-18 14:23:32,536:INFO:Declaring metric variables
- 2022-01-18 14:23:32,541:INFO:Importing untrained model
- 2022-01-18 14:23:32,541:INFO:Declaring custom model
- 2022-01-18 14:23:32,546:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:32,557:INFO:Starting cross validation
- 2022-01-18 14:23:32,558:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:32,827:INFO:Calculating mean and std
- 2022-01-18 14:23:32,828:INFO:Creating metrics dataframe
- 2022-01-18 14:23:32,835:INFO:Finalizing model
- 2022-01-18 14:23:32,851:INFO:Uploading results into container
- 2022-01-18 14:23:32,851:INFO:Uploading model into container now
- 2022-01-18 14:23:32,851:INFO:create_model_container: 28
- 2022-01-18 14:23:32,851:INFO:master_model_container: 28
- 2022-01-18 14:23:32,851:INFO:display_container: 16
- 2022-01-18 14:23:32,852:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:32,852:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:32,936:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:32,946:INFO:create_model_container: 28
- 2022-01-18 14:23:32,946:INFO:master_model_container: 28
- 2022-01-18 14:23:32,946:INFO:display_container: 16
- 2022-01-18 14:23:32,946:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:32,947:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:38,968:INFO:Initializing tune_model()
- 2022-01-18 14:23:38,968:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:38,969:INFO:Checking exceptions
- 2022-01-18 14:23:38,970:INFO:Preparing display monitor
- 2022-01-18 14:23:38,980:INFO:Copying training dataset
- 2022-01-18 14:23:38,982:INFO:Checking base model
- 2022-01-18 14:23:38,982:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:38,988:INFO:Declaring metric variables
- 2022-01-18 14:23:38,992:INFO:Defining Hyperparameters
- 2022-01-18 14:23:39,072:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:39,072:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:39,511:INFO:Hyperparameter search completed
- 2022-01-18 14:23:39,511:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:39,512:INFO:Initializing create_model()
- 2022-01-18 14:23:39,512:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:39,512:INFO:Checking exceptions
- 2022-01-18 14:23:39,512:INFO:Importing libraries
- 2022-01-18 14:23:39,512:INFO:Copying training dataset
- 2022-01-18 14:23:39,513:INFO:Defining folds
- 2022-01-18 14:23:39,514:INFO:Declaring metric variables
- 2022-01-18 14:23:39,519:INFO:Importing untrained model
- 2022-01-18 14:23:39,519:INFO:Declaring custom model
- 2022-01-18 14:23:39,525:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:39,535:INFO:Starting cross validation
- 2022-01-18 14:23:39,535:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:39,858:INFO:Calculating mean and std
- 2022-01-18 14:23:39,858:INFO:Creating metrics dataframe
- 2022-01-18 14:23:39,865:INFO:Finalizing model
- 2022-01-18 14:23:39,889:INFO:Uploading results into container
- 2022-01-18 14:23:39,890:INFO:Uploading model into container now
- 2022-01-18 14:23:39,890:INFO:create_model_container: 29
- 2022-01-18 14:23:39,890:INFO:master_model_container: 29
- 2022-01-18 14:23:39,890:INFO:display_container: 17
- 2022-01-18 14:23:39,890:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=4, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.01, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=9,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:39,891:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:39,976:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:39,987:INFO:create_model_container: 29
- 2022-01-18 14:23:39,987:INFO:master_model_container: 29
- 2022-01-18 14:23:39,987:INFO:display_container: 17
- 2022-01-18 14:23:39,988:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=4, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.01, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=9,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:39,988:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:46,047:INFO:Initializing tune_model()
- 2022-01-18 14:23:46,047:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:46,048:INFO:Checking exceptions
- 2022-01-18 14:23:46,049:INFO:Preparing display monitor
- 2022-01-18 14:23:46,059:INFO:Copying training dataset
- 2022-01-18 14:23:46,060:INFO:Checking base model
- 2022-01-18 14:23:46,060:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:46,066:INFO:Declaring metric variables
- 2022-01-18 14:23:46,070:INFO:Defining Hyperparameters
- 2022-01-18 14:23:46,150:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:46,150:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:46,583:INFO:Hyperparameter search completed
- 2022-01-18 14:23:46,584:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:46,584:INFO:Initializing create_model()
- 2022-01-18 14:23:46,584:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:46,584:INFO:Checking exceptions
- 2022-01-18 14:23:46,585:INFO:Importing libraries
- 2022-01-18 14:23:46,585:INFO:Copying training dataset
- 2022-01-18 14:23:46,586:INFO:Defining folds
- 2022-01-18 14:23:46,586:INFO:Declaring metric variables
- 2022-01-18 14:23:46,592:INFO:Importing untrained model
- 2022-01-18 14:23:46,592:INFO:Declaring custom model
- 2022-01-18 14:23:46,597:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:46,607:INFO:Starting cross validation
- 2022-01-18 14:23:46,608:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:46,871:INFO:Calculating mean and std
- 2022-01-18 14:23:46,872:INFO:Creating metrics dataframe
- 2022-01-18 14:23:46,879:INFO:Finalizing model
- 2022-01-18 14:23:46,894:INFO:Uploading results into container
- 2022-01-18 14:23:46,894:INFO:Uploading model into container now
- 2022-01-18 14:23:46,894:INFO:create_model_container: 30
- 2022-01-18 14:23:46,894:INFO:master_model_container: 30
- 2022-01-18 14:23:46,895:INFO:display_container: 18
- 2022-01-18 14:23:46,895:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features='sqrt', max_leaf_nodes=None,
- min_impurity_decrease=0.0001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:46,895:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:46,985:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:46,995:INFO:create_model_container: 30
- 2022-01-18 14:23:46,995:INFO:master_model_container: 30
- 2022-01-18 14:23:46,996:INFO:display_container: 18
- 2022-01-18 14:23:46,996:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features='sqrt', max_leaf_nodes=None,
- min_impurity_decrease=0.0001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:46,996:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:53,610:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:23:53,610:INFO:Checking exceptions
- 2022-01-18 14:23:53,611:INFO:Preparing display monitor
- 2022-01-18 14:23:53,621:INFO:Importing libraries
- 2022-01-18 14:23:53,622:INFO:Copying training dataset
- 2022-01-18 14:23:53,623:INFO:Defining folds
- 2022-01-18 14:23:53,623:INFO:Declaring metric variables
- 2022-01-18 14:23:53,628:INFO:Importing untrained model
- 2022-01-18 14:23:53,632:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:53,643:INFO:Starting cross validation
- 2022-01-18 14:23:53,643:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:54,577:INFO:Calculating mean and std
- 2022-01-18 14:23:54,578:INFO:Creating metrics dataframe
- 2022-01-18 14:23:54,585:INFO:Finalizing model
- 2022-01-18 14:23:54,678:INFO:Uploading results into container
- 2022-01-18 14:23:54,678:INFO:Uploading model into container now
- 2022-01-18 14:23:54,688:INFO:create_model_container: 31
- 2022-01-18 14:23:54,688:INFO:master_model_container: 31
- 2022-01-18 14:23:54,688:INFO:display_container: 19
- 2022-01-18 14:23:54,689:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:54,689:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:11,874:INFO:PyCaret Supervised Module
- 2022-01-18 14:38:11,874:INFO:ML Usecase: classification
- 2022-01-18 14:38:11,874:INFO:version 2.3.6
- 2022-01-18 14:38:11,875:INFO:Initializing setup()
- 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)
- 2022-01-18 14:38:11,875:INFO:Checking environment
- 2022-01-18 14:38:11,875:INFO:python_version: 3.8.8
- 2022-01-18 14:38:11,875:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 14:38:11,875:INFO:machine: x86_64
- 2022-01-18 14:38:11,875:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 14:38:11,876:INFO:Physical Core: 16
- 2022-01-18 14:38:11,876:INFO:Logical Core: 32
- 2022-01-18 14:38:11,877:INFO:Checking libraries
- 2022-01-18 14:38:11,877:INFO:pd==1.2.4
- 2022-01-18 14:38:11,877:INFO:numpy==1.19.5
- 2022-01-18 14:38:11,877:INFO:sklearn==0.23.2
- 2022-01-18 14:38:11,877:INFO:lightgbm==3.3.2
- 2022-01-18 14:38:11,878:WARNING:catboost not found
- 2022-01-18 14:38:11,878:WARNING:xgboost not found
- 2022-01-18 14:38:11,878:INFO:mlflow==1.22.0
- 2022-01-18 14:38:11,878:INFO:Checking Exceptions
- 2022-01-18 14:38:11,879:INFO:Declaring global variables
- 2022-01-18 14:38:11,879:INFO:USI: b2d4
- 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'}
- 2022-01-18 14:38:11,879:INFO:Preparing display monitor
- 2022-01-18 14:38:11,879:INFO:Preparing display monitor
- 2022-01-18 14:38:11,886:INFO:Importing libraries
- 2022-01-18 14:38:11,886:INFO:Copying data for preprocessing
- 2022-01-18 14:38:11,892:INFO:Declaring preprocessing parameters
- 2022-01-18 14:38:11,893:WARNING:cuML not found
- 2022-01-18 14:38:11,893:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 14:38:11,897:INFO:Creating preprocessing pipeline
- 2022-01-18 14:38:11,928:INFO:Preprocessing pipeline created successfully
- 2022-01-18 14:38:11,928:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 14:38:11,928:INFO:Creating global containers
- 2022-01-18 14:38:11,928:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 14:38:17,510:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 14:38:17,539:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 14:38:17,540:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 14:38:17,540:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 14:38:17,555:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 14:38:17,558:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 14:38:17,559:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 14:38:17,562:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 14:38:17,563:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 14:38:17,593:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 14:38:17,594:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 14:38:17,595:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 14:38:17,609:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 14:38:17,612:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 14:38:17,613:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 14:38:17,618:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 14:38:17,618:INFO:Creating grid variables
- 2022-01-18 14:38:17,631:INFO:create_model_container: 0
- 2022-01-18 14:38:17,631:INFO:master_model_container: 0
- 2022-01-18 14:38:17,631:INFO:display_container: 1
- 2022-01-18 14:38:17,634:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply'],
- ml_usecase='classification', n_jobs=-1,
- random_state=3582, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 14:38:17,635:INFO:setup() succesfully completed......................................
- 2022-01-18 14:38:24,983:INFO:Initializing compare_models()
- 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)
- 2022-01-18 14:38:24,983:INFO:Checking exceptions
- 2022-01-18 14:38:24,985:INFO:Preparing display monitor
- 2022-01-18 14:38:24,985:INFO:Preparing display monitor
- 2022-01-18 14:38:25,002:INFO:Initializing Logistic Regression
- 2022-01-18 14:38:25,002:INFO:Total runtime is 5.404154459635417e-06 minutes
- 2022-01-18 14:38:25,008:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:25,008:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:25,009:INFO:Checking exceptions
- 2022-01-18 14:38:25,009:INFO:Importing libraries
- 2022-01-18 14:38:25,009:INFO:Copying training dataset
- 2022-01-18 14:38:25,011:INFO:Defining folds
- 2022-01-18 14:38:25,011:INFO:Declaring metric variables
- 2022-01-18 14:38:25,016:INFO:Importing untrained model
- 2022-01-18 14:38:25,021:INFO:Logistic Regression Imported succesfully
- 2022-01-18 14:38:25,031:INFO:Starting cross validation
- 2022-01-18 14:38:25,032:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:41,771:INFO:Calculating mean and std
- 2022-01-18 14:38:41,772:INFO:Creating metrics dataframe
- 2022-01-18 14:38:41,778:INFO:Uploading results into container
- 2022-01-18 14:38:41,779:INFO:Uploading model into container now
- 2022-01-18 14:38:41,780:INFO:create_model_container: 1
- 2022-01-18 14:38:41,780:INFO:master_model_container: 1
- 2022-01-18 14:38:41,780:INFO:display_container: 2
- 2022-01-18 14:38:41,781:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=3582, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 14:38:41,781:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:41,891:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:41,892:INFO:Creating metrics dataframe
- 2022-01-18 14:38:41,901:INFO:Initializing K Neighbors Classifier
- 2022-01-18 14:38:41,901:INFO:Total runtime is 0.2816558917363485 minutes
- 2022-01-18 14:38:41,907:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:41,907:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:41,907:INFO:Checking exceptions
- 2022-01-18 14:38:41,907:INFO:Importing libraries
- 2022-01-18 14:38:41,908:INFO:Copying training dataset
- 2022-01-18 14:38:41,909:INFO:Defining folds
- 2022-01-18 14:38:41,909:INFO:Declaring metric variables
- 2022-01-18 14:38:41,913:INFO:Importing untrained model
- 2022-01-18 14:38:41,919:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 14:38:41,929:INFO:Starting cross validation
- 2022-01-18 14:38:41,929:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:49,643:INFO:Calculating mean and std
- 2022-01-18 14:38:49,644:INFO:Creating metrics dataframe
- 2022-01-18 14:38:49,647:INFO:Uploading results into container
- 2022-01-18 14:38:49,647:INFO:Uploading model into container now
- 2022-01-18 14:38:49,648:INFO:create_model_container: 2
- 2022-01-18 14:38:49,648:INFO:master_model_container: 2
- 2022-01-18 14:38:49,648:INFO:display_container: 2
- 2022-01-18 14:38:49,648:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 14:38:49,648:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:49,728:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:49,728:INFO:Creating metrics dataframe
- 2022-01-18 14:38:49,739:INFO:Initializing Naive Bayes
- 2022-01-18 14:38:49,739:INFO:Total runtime is 0.4122879465421041 minutes
- 2022-01-18 14:38:49,744:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:49,745:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:49,745:INFO:Checking exceptions
- 2022-01-18 14:38:49,745:INFO:Importing libraries
- 2022-01-18 14:38:49,745:INFO:Copying training dataset
- 2022-01-18 14:38:49,747:INFO:Defining folds
- 2022-01-18 14:38:49,747:INFO:Declaring metric variables
- 2022-01-18 14:38:49,752:INFO:Importing untrained model
- 2022-01-18 14:38:49,757:INFO:Naive Bayes Imported succesfully
- 2022-01-18 14:38:49,767:INFO:Starting cross validation
- 2022-01-18 14:38:49,767:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:50,052:INFO:Calculating mean and std
- 2022-01-18 14:38:50,052:INFO:Creating metrics dataframe
- 2022-01-18 14:38:50,055:INFO:Uploading results into container
- 2022-01-18 14:38:50,055:INFO:Uploading model into container now
- 2022-01-18 14:38:50,055:INFO:create_model_container: 3
- 2022-01-18 14:38:50,055:INFO:master_model_container: 3
- 2022-01-18 14:38:50,056:INFO:display_container: 2
- 2022-01-18 14:38:50,056:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 14:38:50,056:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:50,127:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:50,128:INFO:Creating metrics dataframe
- 2022-01-18 14:38:50,138:INFO:Initializing Decision Tree Classifier
- 2022-01-18 14:38:50,139:INFO:Total runtime is 0.4189460674921672 minutes
- 2022-01-18 14:38:50,144:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:50,144:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:50,144:INFO:Checking exceptions
- 2022-01-18 14:38:50,145:INFO:Importing libraries
- 2022-01-18 14:38:50,145:INFO:Copying training dataset
- 2022-01-18 14:38:50,146:INFO:Defining folds
- 2022-01-18 14:38:50,146:INFO:Declaring metric variables
- 2022-01-18 14:38:50,151:INFO:Importing untrained model
- 2022-01-18 14:38:50,156:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:38:50,167:INFO:Starting cross validation
- 2022-01-18 14:38:50,167:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:52,978:INFO:Calculating mean and std
- 2022-01-18 14:38:52,979:INFO:Creating metrics dataframe
- 2022-01-18 14:38:52,982:INFO:Uploading results into container
- 2022-01-18 14:38:52,982:INFO:Uploading model into container now
- 2022-01-18 14:38:52,982:INFO:create_model_container: 4
- 2022-01-18 14:38:52,982:INFO:master_model_container: 4
- 2022-01-18 14:38:52,982:INFO:display_container: 2
- 2022-01-18 14:38:52,983:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best')
- 2022-01-18 14:38:52,983:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:53,057:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:53,058:INFO:Creating metrics dataframe
- 2022-01-18 14:38:53,069:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 14:38:53,069:INFO:Total runtime is 0.4677824258804322 minutes
- 2022-01-18 14:38:53,074:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:53,074:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:53,075:INFO:Checking exceptions
- 2022-01-18 14:38:53,075:INFO:Importing libraries
- 2022-01-18 14:38:53,075:INFO:Copying training dataset
- 2022-01-18 14:38:53,076:INFO:Defining folds
- 2022-01-18 14:38:53,076:INFO:Declaring metric variables
- 2022-01-18 14:38:53,081:INFO:Importing untrained model
- 2022-01-18 14:38:53,086:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 14:38:53,098:INFO:Starting cross validation
- 2022-01-18 14:38:53,098:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:55,192:INFO:Calculating mean and std
- 2022-01-18 14:38:55,193:INFO:Creating metrics dataframe
- 2022-01-18 14:38:55,197:INFO:Uploading results into container
- 2022-01-18 14:38:55,199:INFO:Uploading model into container now
- 2022-01-18 14:38:55,201:INFO:create_model_container: 5
- 2022-01-18 14:38:55,204:INFO:master_model_container: 5
- 2022-01-18 14:38:55,205:INFO:display_container: 2
- 2022-01-18 14:38:55,208:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=3582, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 14:38:55,209:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:55,296:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:55,296:INFO:Creating metrics dataframe
- 2022-01-18 14:38:55,308:INFO:Initializing Ridge Classifier
- 2022-01-18 14:38:55,308:INFO:Total runtime is 0.5051049113273621 minutes
- 2022-01-18 14:38:55,314:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:55,314:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:55,314:INFO:Checking exceptions
- 2022-01-18 14:38:55,315:INFO:Importing libraries
- 2022-01-18 14:38:55,315:INFO:Copying training dataset
- 2022-01-18 14:38:55,316:INFO:Defining folds
- 2022-01-18 14:38:55,317:INFO:Declaring metric variables
- 2022-01-18 14:38:55,322:INFO:Importing untrained model
- 2022-01-18 14:38:55,327:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 14:38:55,338:INFO:Starting cross validation
- 2022-01-18 14:38:55,338:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:56,106:INFO:Calculating mean and std
- 2022-01-18 14:38:56,107:INFO:Creating metrics dataframe
- 2022-01-18 14:38:56,111:INFO:Uploading results into container
- 2022-01-18 14:38:56,112:INFO:Uploading model into container now
- 2022-01-18 14:38:56,113:INFO:create_model_container: 6
- 2022-01-18 14:38:56,113:INFO:master_model_container: 6
- 2022-01-18 14:38:56,113:INFO:display_container: 2
- 2022-01-18 14:38:56,114:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=3582,
- solver='auto', tol=0.001)
- 2022-01-18 14:38:56,114:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:56,216:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:56,217:INFO:Creating metrics dataframe
- 2022-01-18 14:38:56,228:INFO:Initializing Random Forest Classifier
- 2022-01-18 14:38:56,228:INFO:Total runtime is 0.5204451243082683 minutes
- 2022-01-18 14:38:56,234:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:56,234:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:56,234:INFO:Checking exceptions
- 2022-01-18 14:38:56,235:INFO:Importing libraries
- 2022-01-18 14:38:56,235:INFO:Copying training dataset
- 2022-01-18 14:38:56,236:INFO:Defining folds
- 2022-01-18 14:38:56,237:INFO:Declaring metric variables
- 2022-01-18 14:38:56,241:INFO:Importing untrained model
- 2022-01-18 14:38:56,246:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:38:56,255:INFO:Starting cross validation
- 2022-01-18 14:38:56,256:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:39:03,247:INFO:Calculating mean and std
- 2022-01-18 14:39:03,248:INFO:Creating metrics dataframe
- 2022-01-18 14:39:03,251:INFO:Uploading results into container
- 2022-01-18 14:39:03,251:INFO:Uploading model into container now
- 2022-01-18 14:39:03,251:INFO:create_model_container: 7
- 2022-01-18 14:39:03,252:INFO:master_model_container: 7
- 2022-01-18 14:39:03,252:INFO:display_container: 2
- 2022-01-18 14:39:03,252:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:39:03,252:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:39:03,329:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:39:03,329:INFO:Creating metrics dataframe
- 2022-01-18 14:39:03,341:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 14:39:03,341:INFO:Total runtime is 0.6389830907185873 minutes
- 2022-01-18 14:39:03,346:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:39:03,346:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:39:03,347:INFO:Checking exceptions
- 2022-01-18 14:39:03,347:INFO:Importing libraries
- 2022-01-18 14:39:03,347:INFO:Copying training dataset
- 2022-01-18 14:39:03,348:INFO:Defining folds
- 2022-01-18 14:39:03,348:INFO:Declaring metric variables
- 2022-01-18 14:39:03,354:INFO:Importing untrained model
- 2022-01-18 14:39:03,359:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 14:39:03,369:INFO:Starting cross validation
- 2022-01-18 14:39:03,370:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:39:04,734:INFO:Calculating mean and std
- 2022-01-18 14:39:04,735:INFO:Creating metrics dataframe
- 2022-01-18 14:39:04,745:INFO:Uploading results into container
- 2022-01-18 14:39:04,746:INFO:Uploading model into container now
- 2022-01-18 14:39:04,749:INFO:create_model_container: 8
- 2022-01-18 14:39:04,749:INFO:master_model_container: 8
- 2022-01-18 14:39:04,749:INFO:display_container: 2
- 2022-01-18 14:39:04,750:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 14:39:04,750:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:39:04,833:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:39:04,833:INFO:Creating metrics dataframe
- 2022-01-18 14:39:04,845:INFO:Initializing Ada Boost Classifier
- 2022-01-18 14:39:04,845:INFO:Total runtime is 0.6640598138173421 minutes
- 2022-01-18 14:39:04,851:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:39:04,851:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:39:04,852:INFO:Checking exceptions
- 2022-01-18 14:39:04,852:INFO:Importing libraries
- 2022-01-18 14:39:04,852:INFO:Copying training dataset
- 2022-01-18 14:39:04,854:INFO:Defining folds
- 2022-01-18 14:39:04,854:INFO:Declaring metric variables
- 2022-01-18 14:39:04,859:INFO:Importing untrained model
- 2022-01-18 14:39:04,864:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 14:39:04,874:INFO:Starting cross validation
- 2022-01-18 14:39:04,875:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:39:17,712:INFO:Calculating mean and std
- 2022-01-18 14:39:17,713:INFO:Creating metrics dataframe
- 2022-01-18 14:39:17,716:INFO:Uploading results into container
- 2022-01-18 14:39:17,716:INFO:Uploading model into container now
- 2022-01-18 14:39:17,716:INFO:create_model_container: 9
- 2022-01-18 14:39:17,716:INFO:master_model_container: 9
- 2022-01-18 14:39:17,716:INFO:display_container: 2
- 2022-01-18 14:39:17,717:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=3582)
- 2022-01-18 14:39:17,717:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:39:17,787:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:39:17,788:INFO:Creating metrics dataframe
- 2022-01-18 14:39:17,800:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 14:39:17,800:INFO:Total runtime is 0.8799694895744323 minutes
- 2022-01-18 14:39:17,805:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:39:17,806:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:39:17,806:INFO:Checking exceptions
- 2022-01-18 14:39:17,806:INFO:Importing libraries
- 2022-01-18 14:39:17,806:INFO:Copying training dataset
- 2022-01-18 14:39:17,808:INFO:Defining folds
- 2022-01-18 14:39:17,808:INFO:Declaring metric variables
- 2022-01-18 14:39:17,813:INFO:Importing untrained model
- 2022-01-18 14:39:17,818:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 14:39:17,828:INFO:Starting cross validation
- 2022-01-18 14:39:17,829:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:11,468:INFO:Calculating mean and std
- 2022-01-18 14:40:11,469:INFO:Creating metrics dataframe
- 2022-01-18 14:40:11,471:INFO:Uploading results into container
- 2022-01-18 14:40:11,471:INFO:Uploading model into container now
- 2022-01-18 14:40:11,472:INFO:create_model_container: 10
- 2022-01-18 14:40:11,472:INFO:master_model_container: 10
- 2022-01-18 14:40:11,472:INFO:display_container: 2
- 2022-01-18 14:40:11,472:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=3582, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 14:40:11,472:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:11,543:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:11,544:INFO:Creating metrics dataframe
- 2022-01-18 14:40:11,556:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 14:40:11,556:INFO:Total runtime is 1.7759081284205118 minutes
- 2022-01-18 14:40:11,562:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:40:11,562:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:40:11,562:INFO:Checking exceptions
- 2022-01-18 14:40:11,562:INFO:Importing libraries
- 2022-01-18 14:40:11,562:INFO:Copying training dataset
- 2022-01-18 14:40:11,564:INFO:Defining folds
- 2022-01-18 14:40:11,564:INFO:Declaring metric variables
- 2022-01-18 14:40:11,569:INFO:Importing untrained model
- 2022-01-18 14:40:11,576:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 14:40:11,586:INFO:Starting cross validation
- 2022-01-18 14:40:11,586:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:14,122:INFO:Calculating mean and std
- 2022-01-18 14:40:14,123:INFO:Creating metrics dataframe
- 2022-01-18 14:40:14,127:INFO:Uploading results into container
- 2022-01-18 14:40:14,131:INFO:Uploading model into container now
- 2022-01-18 14:40:14,132:INFO:create_model_container: 11
- 2022-01-18 14:40:14,132:INFO:master_model_container: 11
- 2022-01-18 14:40:14,132:INFO:display_container: 2
- 2022-01-18 14:40:14,133:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 14:40:14,133:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:14,218:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:14,219:INFO:Creating metrics dataframe
- 2022-01-18 14:40:14,231:INFO:Initializing Extra Trees Classifier
- 2022-01-18 14:40:14,232:INFO:Total runtime is 1.8204961260159809 minutes
- 2022-01-18 14:40:14,237:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:40:14,237:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:40:14,237:INFO:Checking exceptions
- 2022-01-18 14:40:14,238:INFO:Importing libraries
- 2022-01-18 14:40:14,238:INFO:Copying training dataset
- 2022-01-18 14:40:14,239:INFO:Defining folds
- 2022-01-18 14:40:14,239:INFO:Declaring metric variables
- 2022-01-18 14:40:14,244:INFO:Importing untrained model
- 2022-01-18 14:40:14,249:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 14:40:14,259:INFO:Starting cross validation
- 2022-01-18 14:40:14,260:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:21,111:INFO:Calculating mean and std
- 2022-01-18 14:40:21,112:INFO:Creating metrics dataframe
- 2022-01-18 14:40:21,115:INFO:Uploading results into container
- 2022-01-18 14:40:21,115:INFO:Uploading model into container now
- 2022-01-18 14:40:21,115:INFO:create_model_container: 12
- 2022-01-18 14:40:21,115:INFO:master_model_container: 12
- 2022-01-18 14:40:21,115:INFO:display_container: 2
- 2022-01-18 14:40:21,116:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:40:21,116:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:21,201:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:21,201:INFO:Creating metrics dataframe
- 2022-01-18 14:40:21,214:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 14:40:21,214:INFO:Total runtime is 1.936876054604848 minutes
- 2022-01-18 14:40:21,220:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:40:21,220:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:40:21,221:INFO:Checking exceptions
- 2022-01-18 14:40:21,221:INFO:Importing libraries
- 2022-01-18 14:40:21,221:INFO:Copying training dataset
- 2022-01-18 14:40:21,222:INFO:Defining folds
- 2022-01-18 14:40:21,223:INFO:Declaring metric variables
- 2022-01-18 14:40:21,228:INFO:Importing untrained model
- 2022-01-18 14:40:21,232:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 14:40:21,242:INFO:Starting cross validation
- 2022-01-18 14:40:21,243:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:26,314:INFO:Calculating mean and std
- 2022-01-18 14:40:26,315:INFO:Creating metrics dataframe
- 2022-01-18 14:40:26,318:INFO:Uploading results into container
- 2022-01-18 14:40:26,318:INFO:Uploading model into container now
- 2022-01-18 14:40:26,318:INFO:create_model_container: 13
- 2022-01-18 14:40:26,319:INFO:master_model_container: 13
- 2022-01-18 14:40:26,319:INFO:display_container: 2
- 2022-01-18 14:40:26,319:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=3582, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 14:40:26,319:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:26,390:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:26,390:INFO:Creating metrics dataframe
- 2022-01-18 14:40:26,404:INFO:Initializing Dummy Classifier
- 2022-01-18 14:40:26,404:INFO:Total runtime is 2.023368187745412 minutes
- 2022-01-18 14:40:26,409:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:40:26,409:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:40:26,410:INFO:Checking exceptions
- 2022-01-18 14:40:26,410:INFO:Importing libraries
- 2022-01-18 14:40:26,410:INFO:Copying training dataset
- 2022-01-18 14:40:26,411:INFO:Defining folds
- 2022-01-18 14:40:26,411:INFO:Declaring metric variables
- 2022-01-18 14:40:26,416:INFO:Importing untrained model
- 2022-01-18 14:40:26,421:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 14:40:26,431:INFO:Starting cross validation
- 2022-01-18 14:40:26,432:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:26,555:INFO:Calculating mean and std
- 2022-01-18 14:40:26,556:INFO:Creating metrics dataframe
- 2022-01-18 14:40:26,559:INFO:Uploading results into container
- 2022-01-18 14:40:26,559:INFO:Uploading model into container now
- 2022-01-18 14:40:26,559:INFO:create_model_container: 14
- 2022-01-18 14:40:26,559:INFO:master_model_container: 14
- 2022-01-18 14:40:26,559:INFO:display_container: 2
- 2022-01-18 14:40:26,560:INFO:DummyClassifier(constant=None, random_state=3582, strategy='prior')
- 2022-01-18 14:40:26,560:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:26,648:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:26,649:INFO:Creating metrics dataframe
- 2022-01-18 14:40:26,675:INFO:Initializing create_model()
- 2022-01-18 14:40:26,676:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- 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={})
- 2022-01-18 14:40:26,676:INFO:Checking exceptions
- 2022-01-18 14:40:26,676:INFO:Importing libraries
- 2022-01-18 14:40:26,676:INFO:Copying training dataset
- 2022-01-18 14:40:26,677:INFO:Defining folds
- 2022-01-18 14:40:26,678:INFO:Declaring metric variables
- 2022-01-18 14:40:26,678:INFO:Importing untrained model
- 2022-01-18 14:40:26,678:INFO:Declaring custom model
- 2022-01-18 14:40:26,678:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:40:26,679:INFO:Cross validation set to False
- 2022-01-18 14:40:26,679:INFO:Fitting Model
- 2022-01-18 14:40:27,072:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:40:27,073:INFO:create_models() succesfully completed......................................
- 2022-01-18 14:40:27,175:INFO:create_model_container: 14
- 2022-01-18 14:40:27,175:INFO:master_model_container: 14
- 2022-01-18 14:40:27,175:INFO:display_container: 2
- 2022-01-18 14:40:27,176:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:40:27,176:INFO:compare_models() succesfully completed......................................
- 2022-01-18 14:41:08,681:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:41:08,682:INFO:Checking exceptions
- 2022-01-18 14:41:08,682:INFO:Preparing display monitor
- 2022-01-18 14:41:08,694:INFO:Importing libraries
- 2022-01-18 14:41:08,694:INFO:Copying training dataset
- 2022-01-18 14:41:08,695:INFO:Defining folds
- 2022-01-18 14:41:08,696:INFO:Declaring metric variables
- 2022-01-18 14:41:08,701:INFO:Importing untrained model
- 2022-01-18 14:41:08,706:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:41:08,716:INFO:Starting cross validation
- 2022-01-18 14:41:08,717:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:41:11,604:INFO:Calculating mean and std
- 2022-01-18 14:41:11,605:INFO:Creating metrics dataframe
- 2022-01-18 14:41:11,612:INFO:Finalizing model
- 2022-01-18 14:41:11,926:INFO:Uploading results into container
- 2022-01-18 14:41:11,926:INFO:Uploading model into container now
- 2022-01-18 14:41:11,936:INFO:create_model_container: 15
- 2022-01-18 14:41:11,937:INFO:master_model_container: 15
- 2022-01-18 14:41:11,937:INFO:display_container: 3
- 2022-01-18 14:41:11,937:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best')
- 2022-01-18 14:41:11,937:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:41:22,556:INFO:Initializing evaluate_model()
- 2022-01-18 14:41:22,556:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-18 14:41:22,567:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:41:22,568:INFO:Checking exceptions
- 2022-01-18 14:41:22,569:INFO:Preparing display monitor
- 2022-01-18 14:41:22,573:INFO:Preloading libraries
- 2022-01-18 14:41:22,574:INFO:Copying training dataset
- 2022-01-18 14:41:22,575:INFO:Copying test dataset
- 2022-01-18 14:41:22,576:INFO:Plot type: parameter
- 2022-01-18 14:41:22,580:INFO:Visual Rendered Successfully
- 2022-01-18 14:41:22,662:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:41:24,609:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:41:24,610:INFO:Checking exceptions
- 2022-01-18 14:41:24,610:INFO:Preparing display monitor
- 2022-01-18 14:41:24,614:INFO:Preloading libraries
- 2022-01-18 14:41:24,615:INFO:Copying training dataset
- 2022-01-18 14:41:24,616:INFO:Copying test dataset
- 2022-01-18 14:41:24,617:INFO:Plot type: auc
- 2022-01-18 14:41:24,618:INFO:Initializing get_config()
- 2022-01-18 14:41:24,618:INFO:get_config(variable=prep_pipe)
- 2022-01-18 14:41:24,622:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply'],
- ml_usecase='classification', n_jobs=-1,
- random_state=3582, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 14:41:24,622:INFO:get_config() succesfully completed......................................
- 2022-01-18 14:41:24,623:INFO:Fitting Model
- 2022-01-18 14:41:24,624:INFO:Scoring test/hold-out set
- 2022-01-18 14:41:24,726:INFO:Visual Rendered Successfully
- 2022-01-18 14:41:24,803:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:41:27,522:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-18 14:41:27,523:INFO:Checking exceptions
- 2022-01-18 14:41:27,524:INFO:Preparing display monitor
- 2022-01-18 14:41:27,528:INFO:Preloading libraries
- 2022-01-18 14:41:27,530:INFO:Copying training dataset
- 2022-01-18 14:41:27,531:INFO:Copying test dataset
- 2022-01-18 14:41:27,532:INFO:Plot type: feature_all
- 2022-01-18 14:41:27,533:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-18 14:41:28,026:INFO:Visual Rendered Successfully
- 2022-01-18 14:41:28,106:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:42:20,889:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:42:20,889:INFO:Checking exceptions
- 2022-01-18 14:42:20,889:INFO:Preparing display monitor
- 2022-01-18 14:42:20,901:INFO:Importing libraries
- 2022-01-18 14:42:20,901:INFO:Copying training dataset
- 2022-01-18 14:42:20,903:INFO:Defining folds
- 2022-01-18 14:42:20,903:INFO:Declaring metric variables
- 2022-01-18 14:42:20,908:INFO:Importing untrained model
- 2022-01-18 14:42:20,913:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:42:20,925:INFO:Starting cross validation
- 2022-01-18 14:42:20,926:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:42:27,863:INFO:Calculating mean and std
- 2022-01-18 14:42:27,864:INFO:Creating metrics dataframe
- 2022-01-18 14:42:27,872:INFO:Finalizing model
- 2022-01-18 14:42:28,265:INFO:Uploading results into container
- 2022-01-18 14:42:28,266:INFO:Uploading model into container now
- 2022-01-18 14:42:28,276:INFO:create_model_container: 16
- 2022-01-18 14:42:28,277:INFO:master_model_container: 16
- 2022-01-18 14:42:28,277:INFO:display_container: 4
- 2022-01-18 14:42:28,277:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:42:28,278:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:42:33,938:INFO:Initializing evaluate_model()
- 2022-01-18 14:42:33,938:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-18 14:42:33,949:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:42:33,949:INFO:Checking exceptions
- 2022-01-18 14:42:33,965:INFO:Preparing display monitor
- 2022-01-18 14:42:33,970:INFO:Preloading libraries
- 2022-01-18 14:42:33,980:INFO:Copying training dataset
- 2022-01-18 14:42:33,981:INFO:Copying test dataset
- 2022-01-18 14:42:33,982:INFO:Plot type: parameter
- 2022-01-18 14:42:34,017:INFO:Visual Rendered Successfully
- 2022-01-18 14:42:34,097:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:42:36,916:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:42:36,917:INFO:Checking exceptions
- 2022-01-18 14:42:36,933:INFO:Preparing display monitor
- 2022-01-18 14:42:36,938:INFO:Preloading libraries
- 2022-01-18 14:42:36,947:INFO:Copying training dataset
- 2022-01-18 14:42:36,948:INFO:Copying test dataset
- 2022-01-18 14:42:36,949:INFO:Plot type: feature
- 2022-01-18 14:42:36,977:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-18 14:42:37,076:INFO:Visual Rendered Successfully
- 2022-01-18 14:42:37,151:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:42:46,976:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:42:46,977:INFO:Checking exceptions
- 2022-01-18 14:42:46,993:INFO:Preparing display monitor
- 2022-01-18 14:42:46,998:INFO:Preloading libraries
- 2022-01-18 14:42:47,008:INFO:Copying training dataset
- 2022-01-18 14:42:47,009:INFO:Copying test dataset
- 2022-01-18 14:42:47,010:INFO:Plot type: feature_all
- 2022-01-18 14:42:47,043:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-18 14:42:47,566:INFO:Visual Rendered Successfully
- 2022-01-18 14:42:47,648:INFO:plot_model() succesfully completed......................................
- 2022-01-18 15:11:14,651:INFO:Initializing tune_model()
- 2022-01-18 15:11:14,651:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- 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={})
- 2022-01-18 15:11:14,652:INFO:Checking exceptions
- 2022-01-18 15:11:14,653:INFO:Preparing display monitor
- 2022-01-18 15:11:14,663:INFO:Copying training dataset
- 2022-01-18 15:11:14,664:INFO:Checking base model
- 2022-01-18 15:11:14,665:INFO:Base model : Random Forest Classifier
- 2022-01-18 15:11:14,670:INFO:Declaring metric variables
- 2022-01-18 15:11:14,675:INFO:Defining Hyperparameters
- 2022-01-18 15:11:14,757:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:11:14,757:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:11:53,324:INFO:Hyperparameter search completed
- 2022-01-18 15:11:53,324:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:11:53,325:INFO:Initializing create_model()
- 2022-01-18 15:11:53,325:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, 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 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})
- 2022-01-18 15:11:53,325:INFO:Checking exceptions
- 2022-01-18 15:11:53,325:INFO:Importing libraries
- 2022-01-18 15:11:53,325:INFO:Copying training dataset
- 2022-01-18 15:11:53,328:INFO:Defining folds
- 2022-01-18 15:11:53,328:INFO:Declaring metric variables
- 2022-01-18 15:11:53,334:INFO:Importing untrained model
- 2022-01-18 15:11:53,334:INFO:Declaring custom model
- 2022-01-18 15:11:53,340:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:11:53,351:INFO:Starting cross validation
- 2022-01-18 15:11:53,352:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:12:14,789:INFO:Calculating mean and std
- 2022-01-18 15:12:14,790:INFO:Creating metrics dataframe
- 2022-01-18 15:12:14,797:INFO:Finalizing model
- 2022-01-18 15:12:16,314:INFO:Uploading results into container
- 2022-01-18 15:12:16,315:INFO:Uploading model into container now
- 2022-01-18 15:12:16,315:INFO:create_model_container: 17
- 2022-01-18 15:12:16,315:INFO:master_model_container: 17
- 2022-01-18 15:12:16,315:INFO:display_container: 5
- 2022-01-18 15:12:16,316:INFO:RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='gini', max_depth=11, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, n_estimators=240,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 15:12:16,316:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:12:16,412:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:12:16,423:INFO:create_model_container: 17
- 2022-01-18 15:12:16,423:INFO:master_model_container: 17
- 2022-01-18 15:12:16,423:INFO:display_container: 5
- 2022-01-18 15:12:16,424:INFO:RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='gini', max_depth=11, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, n_estimators=240,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 15:12:16,424:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:13:14,147:INFO:PyCaret Supervised Module
- 2022-01-18 15:13:14,148:INFO:ML Usecase: classification
- 2022-01-18 15:13:14,148:INFO:version 2.3.6
- 2022-01-18 15:13:14,148:INFO:Initializing setup()
- 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)
- 2022-01-18 15:13:14,148:INFO:Checking environment
- 2022-01-18 15:13:14,149:INFO:python_version: 3.8.8
- 2022-01-18 15:13:14,149:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:13:14,149:INFO:machine: x86_64
- 2022-01-18 15:13:14,149:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:13:14,150:INFO:Physical Core: 16
- 2022-01-18 15:13:14,150:INFO:Logical Core: 32
- 2022-01-18 15:13:14,150:INFO:Checking libraries
- 2022-01-18 15:13:14,150:INFO:pd==1.2.4
- 2022-01-18 15:13:14,151:INFO:numpy==1.19.5
- 2022-01-18 15:13:14,151:INFO:sklearn==0.23.2
- 2022-01-18 15:13:14,151:INFO:lightgbm==3.3.2
- 2022-01-18 15:13:14,151:WARNING:catboost not found
- 2022-01-18 15:13:14,152:WARNING:xgboost not found
- 2022-01-18 15:13:14,152:INFO:mlflow==1.22.0
- 2022-01-18 15:13:14,152:INFO:Checking Exceptions
- 2022-01-18 15:13:14,153:INFO:Declaring global variables
- 2022-01-18 15:13:14,153:INFO:USI: c638
- 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'}
- 2022-01-18 15:13:14,153:INFO:Preparing display monitor
- 2022-01-18 15:13:14,153:INFO:Preparing display monitor
- 2022-01-18 15:13:14,161:INFO:Importing libraries
- 2022-01-18 15:13:14,161:INFO:Copying data for preprocessing
- 2022-01-18 15:13:14,166:INFO:Declaring preprocessing parameters
- 2022-01-18 15:13:14,167:WARNING:cuML not found
- 2022-01-18 15:13:14,168:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:13:14,171:INFO:Creating preprocessing pipeline
- 2022-01-18 15:13:14,202:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:13:14,202:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:13:14,202:INFO:Creating global containers
- 2022-01-18 15:13:14,203:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:13:19,745:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:13:19,775:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:13:19,776:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:13:19,776:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:13:19,791:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:13:19,795:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:13:19,796:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:13:19,799:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:13:19,799:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:13:19,830:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:13:19,831:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:13:19,832:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:13:19,847:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:13:19,850:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:13:19,852:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:13:19,856:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:13:19,857:INFO:Creating grid variables
- 2022-01-18 15:13:19,870:INFO:create_model_container: 0
- 2022-01-18 15:13:19,871:INFO:master_model_container: 0
- 2022-01-18 15:13:19,871:INFO:display_container: 1
- 2022-01-18 15:13:19,874:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=654, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:13:19,874:INFO:setup() succesfully completed......................................
- 2022-01-18 15:13:54,849:INFO:PyCaret Supervised Module
- 2022-01-18 15:13:54,850:INFO:ML Usecase: classification
- 2022-01-18 15:13:54,850:INFO:version 2.3.6
- 2022-01-18 15:13:54,850:INFO:Initializing setup()
- 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)
- 2022-01-18 15:13:54,851:INFO:Checking environment
- 2022-01-18 15:13:54,851:INFO:python_version: 3.8.8
- 2022-01-18 15:13:54,851:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:13:54,851:INFO:machine: x86_64
- 2022-01-18 15:13:54,851:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:13:54,852:INFO:Physical Core: 16
- 2022-01-18 15:13:54,852:INFO:Logical Core: 32
- 2022-01-18 15:13:54,852:INFO:Checking libraries
- 2022-01-18 15:13:54,853:INFO:pd==1.2.4
- 2022-01-18 15:13:54,853:INFO:numpy==1.19.5
- 2022-01-18 15:13:54,853:INFO:sklearn==0.23.2
- 2022-01-18 15:13:54,853:INFO:lightgbm==3.3.2
- 2022-01-18 15:13:54,853:WARNING:catboost not found
- 2022-01-18 15:13:54,854:WARNING:xgboost not found
- 2022-01-18 15:13:54,854:INFO:mlflow==1.22.0
- 2022-01-18 15:13:54,854:INFO:Checking Exceptions
- 2022-01-18 15:13:54,854:INFO:Declaring global variables
- 2022-01-18 15:13:54,854:INFO:USI: 3c9d
- 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'}
- 2022-01-18 15:13:54,855:INFO:Preparing display monitor
- 2022-01-18 15:13:54,855:INFO:Preparing display monitor
- 2022-01-18 15:13:54,862:INFO:Importing libraries
- 2022-01-18 15:13:54,862:INFO:Copying data for preprocessing
- 2022-01-18 15:13:54,868:INFO:Declaring preprocessing parameters
- 2022-01-18 15:13:54,869:WARNING:cuML not found
- 2022-01-18 15:13:54,869:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:13:54,872:INFO:Creating preprocessing pipeline
- 2022-01-18 15:13:54,901:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:13:54,901:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:13:54,902:INFO:Creating global containers
- 2022-01-18 15:13:54,902:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:13:59,373:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:13:59,401:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:13:59,402:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:13:59,403:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:13:59,417:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:13:59,421:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:13:59,422:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:13:59,425:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:13:59,426:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:13:59,458:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:13:59,459:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:13:59,460:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:13:59,474:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:13:59,477:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:13:59,479:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:13:59,484:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:13:59,485:INFO:Creating grid variables
- 2022-01-18 15:13:59,498:INFO:create_model_container: 0
- 2022-01-18 15:13:59,499:INFO:master_model_container: 0
- 2022-01-18 15:13:59,499:INFO:display_container: 1
- 2022-01-18 15:13:59,502:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=4084, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:13:59,502:INFO:setup() succesfully completed......................................
- 2022-01-18 15:14:05,396:INFO:Initializing compare_models()
- 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)
- 2022-01-18 15:14:05,397:INFO:Checking exceptions
- 2022-01-18 15:14:05,398:INFO:Preparing display monitor
- 2022-01-18 15:14:05,398:INFO:Preparing display monitor
- 2022-01-18 15:14:05,414:INFO:Initializing Logistic Regression
- 2022-01-18 15:14:05,414:INFO:Total runtime is 5.638599395751953e-06 minutes
- 2022-01-18 15:14:05,420:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:05,420:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:05,421:INFO:Checking exceptions
- 2022-01-18 15:14:05,421:INFO:Importing libraries
- 2022-01-18 15:14:05,421:INFO:Copying training dataset
- 2022-01-18 15:14:05,423:INFO:Defining folds
- 2022-01-18 15:14:05,423:INFO:Declaring metric variables
- 2022-01-18 15:14:05,428:INFO:Importing untrained model
- 2022-01-18 15:14:05,433:INFO:Logistic Regression Imported succesfully
- 2022-01-18 15:14:05,443:INFO:Starting cross validation
- 2022-01-18 15:14:05,444:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:41,073:INFO:Calculating mean and std
- 2022-01-18 15:14:41,074:INFO:Creating metrics dataframe
- 2022-01-18 15:14:41,080:INFO:Uploading results into container
- 2022-01-18 15:14:41,081:INFO:Uploading model into container now
- 2022-01-18 15:14:41,083:INFO:create_model_container: 1
- 2022-01-18 15:14:41,087:INFO:master_model_container: 1
- 2022-01-18 15:14:41,087:INFO:display_container: 2
- 2022-01-18 15:14:41,088:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4084, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 15:14:41,088:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:41,176:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:41,176:INFO:Creating metrics dataframe
- 2022-01-18 15:14:41,186:INFO:Initializing K Neighbors Classifier
- 2022-01-18 15:14:41,186:INFO:Total runtime is 0.5961978197097778 minutes
- 2022-01-18 15:14:41,191:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:41,191:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:41,192:INFO:Checking exceptions
- 2022-01-18 15:14:41,192:INFO:Importing libraries
- 2022-01-18 15:14:41,192:INFO:Copying training dataset
- 2022-01-18 15:14:41,193:INFO:Defining folds
- 2022-01-18 15:14:41,194:INFO:Declaring metric variables
- 2022-01-18 15:14:41,198:INFO:Importing untrained model
- 2022-01-18 15:14:41,203:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:14:41,213:INFO:Starting cross validation
- 2022-01-18 15:14:41,214:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:47,283:INFO:Calculating mean and std
- 2022-01-18 15:14:47,284:INFO:Creating metrics dataframe
- 2022-01-18 15:14:47,287:INFO:Uploading results into container
- 2022-01-18 15:14:47,287:INFO:Uploading model into container now
- 2022-01-18 15:14:47,287:INFO:create_model_container: 2
- 2022-01-18 15:14:47,288:INFO:master_model_container: 2
- 2022-01-18 15:14:47,288:INFO:display_container: 2
- 2022-01-18 15:14:47,288:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:14:47,288:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:47,362:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:47,363:INFO:Creating metrics dataframe
- 2022-01-18 15:14:47,373:INFO:Initializing Naive Bayes
- 2022-01-18 15:14:47,373:INFO:Total runtime is 0.6993180314699808 minutes
- 2022-01-18 15:14:47,378:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:47,379:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:47,379:INFO:Checking exceptions
- 2022-01-18 15:14:47,379:INFO:Importing libraries
- 2022-01-18 15:14:47,379:INFO:Copying training dataset
- 2022-01-18 15:14:47,381:INFO:Defining folds
- 2022-01-18 15:14:47,381:INFO:Declaring metric variables
- 2022-01-18 15:14:47,387:INFO:Importing untrained model
- 2022-01-18 15:14:47,391:INFO:Naive Bayes Imported succesfully
- 2022-01-18 15:14:47,401:INFO:Starting cross validation
- 2022-01-18 15:14:47,402:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:47,721:INFO:Calculating mean and std
- 2022-01-18 15:14:47,722:INFO:Creating metrics dataframe
- 2022-01-18 15:14:47,725:INFO:Uploading results into container
- 2022-01-18 15:14:47,725:INFO:Uploading model into container now
- 2022-01-18 15:14:47,725:INFO:create_model_container: 3
- 2022-01-18 15:14:47,725:INFO:master_model_container: 3
- 2022-01-18 15:14:47,726:INFO:display_container: 2
- 2022-01-18 15:14:47,726:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 15:14:47,726:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:47,799:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:47,799:INFO:Creating metrics dataframe
- 2022-01-18 15:14:47,810:INFO:Initializing Decision Tree Classifier
- 2022-01-18 15:14:47,810:INFO:Total runtime is 0.7066030661265055 minutes
- 2022-01-18 15:14:47,815:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:47,816:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:47,816:INFO:Checking exceptions
- 2022-01-18 15:14:47,816:INFO:Importing libraries
- 2022-01-18 15:14:47,816:INFO:Copying training dataset
- 2022-01-18 15:14:47,818:INFO:Defining folds
- 2022-01-18 15:14:47,818:INFO:Declaring metric variables
- 2022-01-18 15:14:47,824:INFO:Importing untrained model
- 2022-01-18 15:14:47,829:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:14:47,840:INFO:Starting cross validation
- 2022-01-18 15:14:47,841:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:50,645:INFO:Calculating mean and std
- 2022-01-18 15:14:50,646:INFO:Creating metrics dataframe
- 2022-01-18 15:14:50,648:INFO:Uploading results into container
- 2022-01-18 15:14:50,649:INFO:Uploading model into container now
- 2022-01-18 15:14:50,649:INFO:create_model_container: 4
- 2022-01-18 15:14:50,649:INFO:master_model_container: 4
- 2022-01-18 15:14:50,649:INFO:display_container: 2
- 2022-01-18 15:14:50,650:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4084, splitter='best')
- 2022-01-18 15:14:50,650:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:50,721:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:50,721:INFO:Creating metrics dataframe
- 2022-01-18 15:14:50,732:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 15:14:50,733:INFO:Total runtime is 0.7553091088930766 minutes
- 2022-01-18 15:14:50,738:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:50,739:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:50,739:INFO:Checking exceptions
- 2022-01-18 15:14:50,739:INFO:Importing libraries
- 2022-01-18 15:14:50,740:INFO:Copying training dataset
- 2022-01-18 15:14:50,741:INFO:Defining folds
- 2022-01-18 15:14:50,742:INFO:Declaring metric variables
- 2022-01-18 15:14:50,747:INFO:Importing untrained model
- 2022-01-18 15:14:50,753:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 15:14:50,764:INFO:Starting cross validation
- 2022-01-18 15:14:50,765:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:52,948:INFO:Calculating mean and std
- 2022-01-18 15:14:52,949:INFO:Creating metrics dataframe
- 2022-01-18 15:14:52,953:INFO:Uploading results into container
- 2022-01-18 15:14:52,954:INFO:Uploading model into container now
- 2022-01-18 15:14:52,955:INFO:create_model_container: 5
- 2022-01-18 15:14:52,960:INFO:master_model_container: 5
- 2022-01-18 15:14:52,961:INFO:display_container: 2
- 2022-01-18 15:14:52,962:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4084, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 15:14:52,962:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:53,064:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:53,065:INFO:Creating metrics dataframe
- 2022-01-18 15:14:53,077:INFO:Initializing Ridge Classifier
- 2022-01-18 15:14:53,077:INFO:Total runtime is 0.7943800727526347 minutes
- 2022-01-18 15:14:53,082:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:53,082:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:53,083:INFO:Checking exceptions
- 2022-01-18 15:14:53,083:INFO:Importing libraries
- 2022-01-18 15:14:53,083:INFO:Copying training dataset
- 2022-01-18 15:14:53,085:INFO:Defining folds
- 2022-01-18 15:14:53,085:INFO:Declaring metric variables
- 2022-01-18 15:14:53,090:INFO:Importing untrained model
- 2022-01-18 15:14:53,095:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 15:14:53,105:INFO:Starting cross validation
- 2022-01-18 15:14:53,105:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:53,722:INFO:Calculating mean and std
- 2022-01-18 15:14:53,723:INFO:Creating metrics dataframe
- 2022-01-18 15:14:53,727:INFO:Uploading results into container
- 2022-01-18 15:14:53,728:INFO:Uploading model into container now
- 2022-01-18 15:14:53,730:INFO:create_model_container: 6
- 2022-01-18 15:14:53,731:INFO:master_model_container: 6
- 2022-01-18 15:14:53,734:INFO:display_container: 2
- 2022-01-18 15:14:53,736:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4084,
- solver='auto', tol=0.001)
- 2022-01-18 15:14:53,736:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:53,839:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:53,839:INFO:Creating metrics dataframe
- 2022-01-18 15:14:53,851:INFO:Initializing Random Forest Classifier
- 2022-01-18 15:14:53,851:INFO:Total runtime is 0.8072850068410238 minutes
- 2022-01-18 15:14:53,857:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:53,857:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:53,857:INFO:Checking exceptions
- 2022-01-18 15:14:53,857:INFO:Importing libraries
- 2022-01-18 15:14:53,858:INFO:Copying training dataset
- 2022-01-18 15:14:53,859:INFO:Defining folds
- 2022-01-18 15:14:53,859:INFO:Declaring metric variables
- 2022-01-18 15:14:53,864:INFO:Importing untrained model
- 2022-01-18 15:14:53,869:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:14:53,879:INFO:Starting cross validation
- 2022-01-18 15:14:53,880:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:15:00,996:INFO:Calculating mean and std
- 2022-01-18 15:15:00,997:INFO:Creating metrics dataframe
- 2022-01-18 15:15:00,999:INFO:Uploading results into container
- 2022-01-18 15:15:00,999:INFO:Uploading model into container now
- 2022-01-18 15:15:01,000:INFO:create_model_container: 7
- 2022-01-18 15:15:01,000:INFO:master_model_container: 7
- 2022-01-18 15:15:01,000:INFO:display_container: 2
- 2022-01-18 15:15:01,001:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
- warm_start=False)
- 2022-01-18 15:15:01,001:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:15:01,081:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:15:01,081:INFO:Creating metrics dataframe
- 2022-01-18 15:15:01,092:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 15:15:01,092:INFO:Total runtime is 0.927973997592926 minutes
- 2022-01-18 15:15:01,097:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:15:01,098:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:15:01,098:INFO:Checking exceptions
- 2022-01-18 15:15:01,098:INFO:Importing libraries
- 2022-01-18 15:15:01,098:INFO:Copying training dataset
- 2022-01-18 15:15:01,100:INFO:Defining folds
- 2022-01-18 15:15:01,100:INFO:Declaring metric variables
- 2022-01-18 15:15:01,105:INFO:Importing untrained model
- 2022-01-18 15:15:01,110:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 15:15:01,119:INFO:Starting cross validation
- 2022-01-18 15:15:01,120:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:15:02,652:INFO:Calculating mean and std
- 2022-01-18 15:15:02,653:INFO:Creating metrics dataframe
- 2022-01-18 15:15:02,657:INFO:Uploading results into container
- 2022-01-18 15:15:02,658:INFO:Uploading model into container now
- 2022-01-18 15:15:02,658:INFO:create_model_container: 8
- 2022-01-18 15:15:02,658:INFO:master_model_container: 8
- 2022-01-18 15:15:02,658:INFO:display_container: 2
- 2022-01-18 15:15:02,659:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 15:15:02,659:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:15:02,748:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:15:02,749:INFO:Creating metrics dataframe
- 2022-01-18 15:15:02,761:INFO:Initializing Ada Boost Classifier
- 2022-01-18 15:15:02,761:INFO:Total runtime is 0.9557802319526671 minutes
- 2022-01-18 15:15:02,766:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:15:02,766:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:15:02,767:INFO:Checking exceptions
- 2022-01-18 15:15:02,767:INFO:Importing libraries
- 2022-01-18 15:15:02,767:INFO:Copying training dataset
- 2022-01-18 15:15:02,769:INFO:Defining folds
- 2022-01-18 15:15:02,769:INFO:Declaring metric variables
- 2022-01-18 15:15:02,774:INFO:Importing untrained model
- 2022-01-18 15:15:02,779:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 15:15:02,790:INFO:Starting cross validation
- 2022-01-18 15:15:02,790:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:15:17,483:INFO:Calculating mean and std
- 2022-01-18 15:15:17,484:INFO:Creating metrics dataframe
- 2022-01-18 15:15:17,487:INFO:Uploading results into container
- 2022-01-18 15:15:17,487:INFO:Uploading model into container now
- 2022-01-18 15:15:17,487:INFO:create_model_container: 9
- 2022-01-18 15:15:17,487:INFO:master_model_container: 9
- 2022-01-18 15:15:17,488:INFO:display_container: 2
- 2022-01-18 15:15:17,488:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4084)
- 2022-01-18 15:15:17,488:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:15:17,561:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:15:17,561:INFO:Creating metrics dataframe
- 2022-01-18 15:15:17,573:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 15:15:17,573:INFO:Total runtime is 1.2026562372843423 minutes
- 2022-01-18 15:15:17,579:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:15:17,579:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:15:17,579:INFO:Checking exceptions
- 2022-01-18 15:15:17,580:INFO:Importing libraries
- 2022-01-18 15:15:17,580:INFO:Copying training dataset
- 2022-01-18 15:15:17,581:INFO:Defining folds
- 2022-01-18 15:15:17,581:INFO:Declaring metric variables
- 2022-01-18 15:15:17,587:INFO:Importing untrained model
- 2022-01-18 15:15:17,592:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:15:17,604:INFO:Starting cross validation
- 2022-01-18 15:15:17,604:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:20,030:INFO:Calculating mean and std
- 2022-01-18 15:16:20,031:INFO:Creating metrics dataframe
- 2022-01-18 15:16:20,034:INFO:Uploading results into container
- 2022-01-18 15:16:20,034:INFO:Uploading model into container now
- 2022-01-18 15:16:20,034:INFO:create_model_container: 10
- 2022-01-18 15:16:20,034:INFO:master_model_container: 10
- 2022-01-18 15:16:20,035:INFO:display_container: 2
- 2022-01-18 15:16:20,035:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4084, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:16:20,035:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:20,117:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:20,117:INFO:Creating metrics dataframe
- 2022-01-18 15:16:20,129:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 15:16:20,130:INFO:Total runtime is 2.2452584147453307 minutes
- 2022-01-18 15:16:20,135:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:16:20,135:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:16:20,136:INFO:Checking exceptions
- 2022-01-18 15:16:20,136:INFO:Importing libraries
- 2022-01-18 15:16:20,136:INFO:Copying training dataset
- 2022-01-18 15:16:20,137:INFO:Defining folds
- 2022-01-18 15:16:20,138:INFO:Declaring metric variables
- 2022-01-18 15:16:20,143:INFO:Importing untrained model
- 2022-01-18 15:16:20,147:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 15:16:20,158:INFO:Starting cross validation
- 2022-01-18 15:16:20,158:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:22,678:INFO:Calculating mean and std
- 2022-01-18 15:16:22,680:INFO:Creating metrics dataframe
- 2022-01-18 15:16:22,684:INFO:Uploading results into container
- 2022-01-18 15:16:22,685:INFO:Uploading model into container now
- 2022-01-18 15:16:22,686:INFO:create_model_container: 11
- 2022-01-18 15:16:22,686:INFO:master_model_container: 11
- 2022-01-18 15:16:22,686:INFO:display_container: 2
- 2022-01-18 15:16:22,687:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 15:16:22,687:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:22,776:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:22,776:INFO:Creating metrics dataframe
- 2022-01-18 15:16:22,789:INFO:Initializing Extra Trees Classifier
- 2022-01-18 15:16:22,790:INFO:Total runtime is 2.289591606458028 minutes
- 2022-01-18 15:16:22,795:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:16:22,795:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:16:22,796:INFO:Checking exceptions
- 2022-01-18 15:16:22,796:INFO:Importing libraries
- 2022-01-18 15:16:22,796:INFO:Copying training dataset
- 2022-01-18 15:16:22,798:INFO:Defining folds
- 2022-01-18 15:16:22,798:INFO:Declaring metric variables
- 2022-01-18 15:16:22,803:INFO:Importing untrained model
- 2022-01-18 15:16:22,808:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:16:22,818:INFO:Starting cross validation
- 2022-01-18 15:16:22,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:29,748:INFO:Calculating mean and std
- 2022-01-18 15:16:29,749:INFO:Creating metrics dataframe
- 2022-01-18 15:16:29,752:INFO:Uploading results into container
- 2022-01-18 15:16:29,752:INFO:Uploading model into container now
- 2022-01-18 15:16:29,752:INFO:create_model_container: 12
- 2022-01-18 15:16:29,753:INFO:master_model_container: 12
- 2022-01-18 15:16:29,753:INFO:display_container: 2
- 2022-01-18 15:16:29,753:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4084, verbose=0,
- warm_start=False)
- 2022-01-18 15:16:29,753:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:29,842:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:29,843:INFO:Creating metrics dataframe
- 2022-01-18 15:16:29,856:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 15:16:29,856:INFO:Total runtime is 2.4073742190996805 minutes
- 2022-01-18 15:16:29,862:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:16:29,862:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:16:29,862:INFO:Checking exceptions
- 2022-01-18 15:16:29,863:INFO:Importing libraries
- 2022-01-18 15:16:29,863:INFO:Copying training dataset
- 2022-01-18 15:16:29,864:INFO:Defining folds
- 2022-01-18 15:16:29,864:INFO:Declaring metric variables
- 2022-01-18 15:16:29,869:INFO:Importing untrained model
- 2022-01-18 15:16:29,875:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:16:29,886:INFO:Starting cross validation
- 2022-01-18 15:16:29,886:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:35,728:INFO:Calculating mean and std
- 2022-01-18 15:16:35,729:INFO:Creating metrics dataframe
- 2022-01-18 15:16:35,732:INFO:Uploading results into container
- 2022-01-18 15:16:35,732:INFO:Uploading model into container now
- 2022-01-18 15:16:35,732:INFO:create_model_container: 13
- 2022-01-18 15:16:35,732:INFO:master_model_container: 13
- 2022-01-18 15:16:35,733:INFO:display_container: 2
- 2022-01-18 15:16:35,733:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4084, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:16:35,733:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:35,811:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:35,812:INFO:Creating metrics dataframe
- 2022-01-18 15:16:35,825:INFO:Initializing Dummy Classifier
- 2022-01-18 15:16:35,825:INFO:Total runtime is 2.506855265299479 minutes
- 2022-01-18 15:16:35,831:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:16:35,831:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:16:35,831:INFO:Checking exceptions
- 2022-01-18 15:16:35,832:INFO:Importing libraries
- 2022-01-18 15:16:35,832:INFO:Copying training dataset
- 2022-01-18 15:16:35,834:INFO:Defining folds
- 2022-01-18 15:16:35,834:INFO:Declaring metric variables
- 2022-01-18 15:16:35,839:INFO:Importing untrained model
- 2022-01-18 15:16:35,844:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 15:16:35,854:INFO:Starting cross validation
- 2022-01-18 15:16:35,855:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:35,986:INFO:Calculating mean and std
- 2022-01-18 15:16:35,987:INFO:Creating metrics dataframe
- 2022-01-18 15:16:35,990:INFO:Uploading results into container
- 2022-01-18 15:16:35,990:INFO:Uploading model into container now
- 2022-01-18 15:16:35,990:INFO:create_model_container: 14
- 2022-01-18 15:16:35,990:INFO:master_model_container: 14
- 2022-01-18 15:16:35,990:INFO:display_container: 2
- 2022-01-18 15:16:35,991:INFO:DummyClassifier(constant=None, random_state=4084, strategy='prior')
- 2022-01-18 15:16:35,991:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:36,072:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:36,073:INFO:Creating metrics dataframe
- 2022-01-18 15:16:36,100:INFO:Initializing create_model()
- 2022-01-18 15:16:36,100:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
- 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={})
- 2022-01-18 15:16:36,100:INFO:Checking exceptions
- 2022-01-18 15:16:36,101:INFO:Importing libraries
- 2022-01-18 15:16:36,101:INFO:Copying training dataset
- 2022-01-18 15:16:36,102:INFO:Defining folds
- 2022-01-18 15:16:36,103:INFO:Declaring metric variables
- 2022-01-18 15:16:36,103:INFO:Importing untrained model
- 2022-01-18 15:16:36,103:INFO:Declaring custom model
- 2022-01-18 15:16:36,104:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:16:36,104:INFO:Cross validation set to False
- 2022-01-18 15:16:36,104:INFO:Fitting Model
- 2022-01-18 15:16:36,529:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
- warm_start=False)
- 2022-01-18 15:16:36,529:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:16:36,635:INFO:create_model_container: 14
- 2022-01-18 15:16:36,636:INFO:master_model_container: 14
- 2022-01-18 15:16:36,636:INFO:display_container: 2
- 2022-01-18 15:16:36,636:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
- warm_start=False)
- 2022-01-18 15:16:36,636:INFO:compare_models() succesfully completed......................................
- 2022-01-18 15:17:05,159:INFO:PyCaret Supervised Module
- 2022-01-18 15:17:05,159:INFO:ML Usecase: classification
- 2022-01-18 15:17:05,159:INFO:version 2.3.6
- 2022-01-18 15:17:05,159:INFO:Initializing setup()
- 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)
- 2022-01-18 15:17:05,160:INFO:Checking environment
- 2022-01-18 15:17:05,160:INFO:python_version: 3.8.8
- 2022-01-18 15:17:05,160:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:17:05,160:INFO:machine: x86_64
- 2022-01-18 15:17:05,160:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:17:05,162:INFO:Physical Core: 16
- 2022-01-18 15:17:05,162:INFO:Logical Core: 32
- 2022-01-18 15:17:05,162:INFO:Checking libraries
- 2022-01-18 15:17:05,162:INFO:pd==1.2.4
- 2022-01-18 15:17:05,162:INFO:numpy==1.19.5
- 2022-01-18 15:17:05,162:INFO:sklearn==0.23.2
- 2022-01-18 15:17:05,163:INFO:lightgbm==3.3.2
- 2022-01-18 15:17:05,163:WARNING:catboost not found
- 2022-01-18 15:17:05,164:WARNING:xgboost not found
- 2022-01-18 15:17:05,164:INFO:mlflow==1.22.0
- 2022-01-18 15:17:05,164:INFO:Checking Exceptions
- 2022-01-18 15:17:05,164:INFO:Declaring global variables
- 2022-01-18 15:17:05,164:INFO:USI: 7a56
- 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'}
- 2022-01-18 15:17:05,165:INFO:Preparing display monitor
- 2022-01-18 15:17:05,165:INFO:Preparing display monitor
- 2022-01-18 15:17:05,176:INFO:Importing libraries
- 2022-01-18 15:17:05,176:INFO:Copying data for preprocessing
- 2022-01-18 15:17:05,184:INFO:Declaring preprocessing parameters
- 2022-01-18 15:17:05,184:WARNING:cuML not found
- 2022-01-18 15:17:05,185:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:17:05,191:INFO:Creating preprocessing pipeline
- 2022-01-18 15:17:05,235:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:17:05,236:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:17:05,236:INFO:Creating global containers
- 2022-01-18 15:17:05,236:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:17:10,966:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:17:10,996:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:17:10,997:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:17:10,998:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:17:11,012:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:17:11,016:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:17:11,017:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:17:11,021:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:17:11,022:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:17:11,053:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:17:11,054:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:17:11,055:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:17:11,069:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:17:11,073:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:17:11,074:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:17:11,077:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:17:11,077:INFO:Creating grid variables
- 2022-01-18 15:17:11,091:INFO:create_model_container: 0
- 2022-01-18 15:17:11,091:INFO:master_model_container: 0
- 2022-01-18 15:17:11,091:INFO:display_container: 1
- 2022-01-18 15:17:11,095:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=695, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:17:11,095:INFO:setup() succesfully completed......................................
- 2022-01-18 15:17:27,163:INFO:Initializing compare_models()
- 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)
- 2022-01-18 15:17:27,164:INFO:Checking exceptions
- 2022-01-18 15:17:27,165:INFO:Preparing display monitor
- 2022-01-18 15:17:27,165:INFO:Preparing display monitor
- 2022-01-18 15:17:27,181:INFO:Initializing Logistic Regression
- 2022-01-18 15:17:27,181:INFO:Total runtime is 5.185604095458984e-06 minutes
- 2022-01-18 15:17:27,187:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:17:27,187:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:17:27,188:INFO:Checking exceptions
- 2022-01-18 15:17:27,188:INFO:Importing libraries
- 2022-01-18 15:17:27,188:INFO:Copying training dataset
- 2022-01-18 15:17:27,189:INFO:Defining folds
- 2022-01-18 15:17:27,189:INFO:Declaring metric variables
- 2022-01-18 15:17:27,194:INFO:Importing untrained model
- 2022-01-18 15:17:27,199:INFO:Logistic Regression Imported succesfully
- 2022-01-18 15:17:27,210:INFO:Starting cross validation
- 2022-01-18 15:17:27,211:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:04,486:INFO:Calculating mean and std
- 2022-01-18 15:18:04,487:INFO:Creating metrics dataframe
- 2022-01-18 15:18:04,493:INFO:Uploading results into container
- 2022-01-18 15:18:04,493:INFO:Uploading model into container now
- 2022-01-18 15:18:04,493:INFO:create_model_container: 1
- 2022-01-18 15:18:04,494:INFO:master_model_container: 1
- 2022-01-18 15:18:04,494:INFO:display_container: 2
- 2022-01-18 15:18:04,495:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=695, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 15:18:04,495:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:04,602:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:04,603:INFO:Creating metrics dataframe
- 2022-01-18 15:18:04,612:INFO:Initializing K Neighbors Classifier
- 2022-01-18 15:18:04,612:INFO:Total runtime is 0.6238506356875102 minutes
- 2022-01-18 15:18:04,617:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:04,618:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:04,618:INFO:Checking exceptions
- 2022-01-18 15:18:04,618:INFO:Importing libraries
- 2022-01-18 15:18:04,618:INFO:Copying training dataset
- 2022-01-18 15:18:04,620:INFO:Defining folds
- 2022-01-18 15:18:04,620:INFO:Declaring metric variables
- 2022-01-18 15:18:04,625:INFO:Importing untrained model
- 2022-01-18 15:18:04,631:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:18:04,643:INFO:Starting cross validation
- 2022-01-18 15:18:04,643:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:10,604:INFO:Calculating mean and std
- 2022-01-18 15:18:10,605:INFO:Creating metrics dataframe
- 2022-01-18 15:18:10,608:INFO:Uploading results into container
- 2022-01-18 15:18:10,608:INFO:Uploading model into container now
- 2022-01-18 15:18:10,608:INFO:create_model_container: 2
- 2022-01-18 15:18:10,608:INFO:master_model_container: 2
- 2022-01-18 15:18:10,608:INFO:display_container: 2
- 2022-01-18 15:18:10,609:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:18:10,609:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:10,687:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:10,687:INFO:Creating metrics dataframe
- 2022-01-18 15:18:10,698:INFO:Initializing Naive Bayes
- 2022-01-18 15:18:10,698:INFO:Total runtime is 0.7252870837847392 minutes
- 2022-01-18 15:18:10,704:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:10,704:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:10,705:INFO:Checking exceptions
- 2022-01-18 15:18:10,705:INFO:Importing libraries
- 2022-01-18 15:18:10,705:INFO:Copying training dataset
- 2022-01-18 15:18:10,707:INFO:Defining folds
- 2022-01-18 15:18:10,707:INFO:Declaring metric variables
- 2022-01-18 15:18:10,711:INFO:Importing untrained model
- 2022-01-18 15:18:10,716:INFO:Naive Bayes Imported succesfully
- 2022-01-18 15:18:10,726:INFO:Starting cross validation
- 2022-01-18 15:18:10,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:11,054:INFO:Calculating mean and std
- 2022-01-18 15:18:11,055:INFO:Creating metrics dataframe
- 2022-01-18 15:18:11,058:INFO:Uploading results into container
- 2022-01-18 15:18:11,058:INFO:Uploading model into container now
- 2022-01-18 15:18:11,058:INFO:create_model_container: 3
- 2022-01-18 15:18:11,058:INFO:master_model_container: 3
- 2022-01-18 15:18:11,058:INFO:display_container: 2
- 2022-01-18 15:18:11,059:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 15:18:11,059:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:11,138:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:11,139:INFO:Creating metrics dataframe
- 2022-01-18 15:18:11,149:INFO:Initializing Decision Tree Classifier
- 2022-01-18 15:18:11,149:INFO:Total runtime is 0.7328077356020609 minutes
- 2022-01-18 15:18:11,155:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:11,155:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:11,155:INFO:Checking exceptions
- 2022-01-18 15:18:11,155:INFO:Importing libraries
- 2022-01-18 15:18:11,156:INFO:Copying training dataset
- 2022-01-18 15:18:11,157:INFO:Defining folds
- 2022-01-18 15:18:11,157:INFO:Declaring metric variables
- 2022-01-18 15:18:11,162:INFO:Importing untrained model
- 2022-01-18 15:18:11,167:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:18:11,177:INFO:Starting cross validation
- 2022-01-18 15:18:11,178:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:14,351:INFO:Calculating mean and std
- 2022-01-18 15:18:14,352:INFO:Creating metrics dataframe
- 2022-01-18 15:18:14,355:INFO:Uploading results into container
- 2022-01-18 15:18:14,355:INFO:Uploading model into container now
- 2022-01-18 15:18:14,355:INFO:create_model_container: 4
- 2022-01-18 15:18:14,355:INFO:master_model_container: 4
- 2022-01-18 15:18:14,356:INFO:display_container: 2
- 2022-01-18 15:18:14,356:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=695, splitter='best')
- 2022-01-18 15:18:14,356:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:14,429:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:14,430:INFO:Creating metrics dataframe
- 2022-01-18 15:18:14,440:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 15:18:14,441:INFO:Total runtime is 0.7876601576805115 minutes
- 2022-01-18 15:18:14,446:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:14,446:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:14,446:INFO:Checking exceptions
- 2022-01-18 15:18:14,447:INFO:Importing libraries
- 2022-01-18 15:18:14,447:INFO:Copying training dataset
- 2022-01-18 15:18:14,448:INFO:Defining folds
- 2022-01-18 15:18:14,448:INFO:Declaring metric variables
- 2022-01-18 15:18:14,454:INFO:Importing untrained model
- 2022-01-18 15:18:14,458:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 15:18:14,469:INFO:Starting cross validation
- 2022-01-18 15:18:14,470:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:16,001:INFO:Calculating mean and std
- 2022-01-18 15:18:16,005:INFO:Creating metrics dataframe
- 2022-01-18 15:18:16,010:INFO:Uploading results into container
- 2022-01-18 15:18:16,011:INFO:Uploading model into container now
- 2022-01-18 15:18:16,011:INFO:create_model_container: 5
- 2022-01-18 15:18:16,011:INFO:master_model_container: 5
- 2022-01-18 15:18:16,011:INFO:display_container: 2
- 2022-01-18 15:18:16,012:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=695, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 15:18:16,012:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:16,104:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:16,105:INFO:Creating metrics dataframe
- 2022-01-18 15:18:16,115:INFO:Initializing Ridge Classifier
- 2022-01-18 15:18:16,116:INFO:Total runtime is 0.8155773639678955 minutes
- 2022-01-18 15:18:16,121:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:16,121:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:16,122:INFO:Checking exceptions
- 2022-01-18 15:18:16,122:INFO:Importing libraries
- 2022-01-18 15:18:16,122:INFO:Copying training dataset
- 2022-01-18 15:18:16,124:INFO:Defining folds
- 2022-01-18 15:18:16,124:INFO:Declaring metric variables
- 2022-01-18 15:18:16,129:INFO:Importing untrained model
- 2022-01-18 15:18:16,135:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 15:18:16,145:INFO:Starting cross validation
- 2022-01-18 15:18:16,145:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:17,035:INFO:Calculating mean and std
- 2022-01-18 15:18:17,049:INFO:Creating metrics dataframe
- 2022-01-18 15:18:17,058:INFO:Uploading results into container
- 2022-01-18 15:18:17,058:INFO:Uploading model into container now
- 2022-01-18 15:18:17,059:INFO:create_model_container: 6
- 2022-01-18 15:18:17,059:INFO:master_model_container: 6
- 2022-01-18 15:18:17,059:INFO:display_container: 2
- 2022-01-18 15:18:17,059:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=695, solver='auto',
- tol=0.001)
- 2022-01-18 15:18:17,060:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:17,143:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:17,144:INFO:Creating metrics dataframe
- 2022-01-18 15:18:17,156:INFO:Initializing Random Forest Classifier
- 2022-01-18 15:18:17,156:INFO:Total runtime is 0.8329163511594136 minutes
- 2022-01-18 15:18:17,161:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:17,162:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:17,162:INFO:Checking exceptions
- 2022-01-18 15:18:17,162:INFO:Importing libraries
- 2022-01-18 15:18:17,162:INFO:Copying training dataset
- 2022-01-18 15:18:17,164:INFO:Defining folds
- 2022-01-18 15:18:17,164:INFO:Declaring metric variables
- 2022-01-18 15:18:17,170:INFO:Importing untrained model
- 2022-01-18 15:18:17,174:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:18:17,185:INFO:Starting cross validation
- 2022-01-18 15:18:17,185:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:24,439:INFO:Calculating mean and std
- 2022-01-18 15:18:24,440:INFO:Creating metrics dataframe
- 2022-01-18 15:18:24,442:INFO:Uploading results into container
- 2022-01-18 15:18:24,442:INFO:Uploading model into container now
- 2022-01-18 15:18:24,443:INFO:create_model_container: 7
- 2022-01-18 15:18:24,443:INFO:master_model_container: 7
- 2022-01-18 15:18:24,443:INFO:display_container: 2
- 2022-01-18 15:18:24,443:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=695, verbose=0,
- warm_start=False)
- 2022-01-18 15:18:24,444:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:24,529:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:24,529:INFO:Creating metrics dataframe
- 2022-01-18 15:18:24,541:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 15:18:24,541:INFO:Total runtime is 0.95600665807724 minutes
- 2022-01-18 15:18:24,547:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:24,547:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:24,547:INFO:Checking exceptions
- 2022-01-18 15:18:24,547:INFO:Importing libraries
- 2022-01-18 15:18:24,548:INFO:Copying training dataset
- 2022-01-18 15:18:24,549:INFO:Defining folds
- 2022-01-18 15:18:24,549:INFO:Declaring metric variables
- 2022-01-18 15:18:24,555:INFO:Importing untrained model
- 2022-01-18 15:18:24,559:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 15:18:24,570:INFO:Starting cross validation
- 2022-01-18 15:18:24,571:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:25,969:INFO:Calculating mean and std
- 2022-01-18 15:18:25,970:INFO:Creating metrics dataframe
- 2022-01-18 15:18:25,976:INFO:Uploading results into container
- 2022-01-18 15:18:25,976:INFO:Uploading model into container now
- 2022-01-18 15:18:25,976:INFO:create_model_container: 8
- 2022-01-18 15:18:25,976:INFO:master_model_container: 8
- 2022-01-18 15:18:25,976:INFO:display_container: 2
- 2022-01-18 15:18:25,977:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 15:18:25,977:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:26,070:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:26,070:INFO:Creating metrics dataframe
- 2022-01-18 15:18:26,083:INFO:Initializing Ada Boost Classifier
- 2022-01-18 15:18:26,083:INFO:Total runtime is 0.9816992163658141 minutes
- 2022-01-18 15:18:26,089:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:26,089:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:26,090:INFO:Checking exceptions
- 2022-01-18 15:18:26,090:INFO:Importing libraries
- 2022-01-18 15:18:26,090:INFO:Copying training dataset
- 2022-01-18 15:18:26,091:INFO:Defining folds
- 2022-01-18 15:18:26,092:INFO:Declaring metric variables
- 2022-01-18 15:18:26,096:INFO:Importing untrained model
- 2022-01-18 15:18:26,101:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 15:18:26,114:INFO:Starting cross validation
- 2022-01-18 15:18:26,114:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:41,878:INFO:Calculating mean and std
- 2022-01-18 15:18:41,879:INFO:Creating metrics dataframe
- 2022-01-18 15:18:41,881:INFO:Uploading results into container
- 2022-01-18 15:18:41,882:INFO:Uploading model into container now
- 2022-01-18 15:18:41,882:INFO:create_model_container: 9
- 2022-01-18 15:18:41,882:INFO:master_model_container: 9
- 2022-01-18 15:18:41,882:INFO:display_container: 2
- 2022-01-18 15:18:41,882:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=695)
- 2022-01-18 15:18:41,883:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:41,956:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:41,956:INFO:Creating metrics dataframe
- 2022-01-18 15:18:41,969:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 15:18:41,969:INFO:Total runtime is 1.2464656352996826 minutes
- 2022-01-18 15:18:41,974:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:41,975:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:41,975:INFO:Checking exceptions
- 2022-01-18 15:18:41,975:INFO:Importing libraries
- 2022-01-18 15:18:41,975:INFO:Copying training dataset
- 2022-01-18 15:18:41,977:INFO:Defining folds
- 2022-01-18 15:18:41,977:INFO:Declaring metric variables
- 2022-01-18 15:18:41,981:INFO:Importing untrained model
- 2022-01-18 15:18:41,986:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:18:41,996:INFO:Starting cross validation
- 2022-01-18 15:18:41,997:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:19:49,755:INFO:Calculating mean and std
- 2022-01-18 15:19:49,756:INFO:Creating metrics dataframe
- 2022-01-18 15:19:49,759:INFO:Uploading results into container
- 2022-01-18 15:19:49,759:INFO:Uploading model into container now
- 2022-01-18 15:19:49,759:INFO:create_model_container: 10
- 2022-01-18 15:19:49,759:INFO:master_model_container: 10
- 2022-01-18 15:19:49,759:INFO:display_container: 2
- 2022-01-18 15:19:49,760:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=695, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:19:49,760:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:19:49,835:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:19:49,836:INFO:Creating metrics dataframe
- 2022-01-18 15:19:49,848:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 15:19:49,848:INFO:Total runtime is 2.377783437569936 minutes
- 2022-01-18 15:19:49,853:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:19:49,854:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:19:49,854:INFO:Checking exceptions
- 2022-01-18 15:19:49,854:INFO:Importing libraries
- 2022-01-18 15:19:49,854:INFO:Copying training dataset
- 2022-01-18 15:19:49,856:INFO:Defining folds
- 2022-01-18 15:19:49,856:INFO:Declaring metric variables
- 2022-01-18 15:19:49,861:INFO:Importing untrained model
- 2022-01-18 15:19:49,865:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 15:19:49,876:INFO:Starting cross validation
- 2022-01-18 15:19:49,876:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:19:52,429:INFO:Calculating mean and std
- 2022-01-18 15:19:52,431:INFO:Creating metrics dataframe
- 2022-01-18 15:19:52,437:INFO:Uploading results into container
- 2022-01-18 15:19:52,437:INFO:Uploading model into container now
- 2022-01-18 15:19:52,437:INFO:create_model_container: 11
- 2022-01-18 15:19:52,439:INFO:master_model_container: 11
- 2022-01-18 15:19:52,439:INFO:display_container: 2
- 2022-01-18 15:19:52,440:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 15:19:52,440:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:19:52,532:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:19:52,532:INFO:Creating metrics dataframe
- 2022-01-18 15:19:52,546:INFO:Initializing Extra Trees Classifier
- 2022-01-18 15:19:52,546:INFO:Total runtime is 2.422754371166229 minutes
- 2022-01-18 15:19:52,552:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:19:52,552:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:19:52,553:INFO:Checking exceptions
- 2022-01-18 15:19:52,553:INFO:Importing libraries
- 2022-01-18 15:19:52,553:INFO:Copying training dataset
- 2022-01-18 15:19:52,554:INFO:Defining folds
- 2022-01-18 15:19:52,555:INFO:Declaring metric variables
- 2022-01-18 15:19:52,560:INFO:Importing untrained model
- 2022-01-18 15:19:52,564:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:19:52,574:INFO:Starting cross validation
- 2022-01-18 15:19:52,575:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:19:59,467:INFO:Calculating mean and std
- 2022-01-18 15:19:59,468:INFO:Creating metrics dataframe
- 2022-01-18 15:19:59,471:INFO:Uploading results into container
- 2022-01-18 15:19:59,471:INFO:Uploading model into container now
- 2022-01-18 15:19:59,471:INFO:create_model_container: 12
- 2022-01-18 15:19:59,471:INFO:master_model_container: 12
- 2022-01-18 15:19:59,472:INFO:display_container: 2
- 2022-01-18 15:19:59,472:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=695, verbose=0,
- warm_start=False)
- 2022-01-18 15:19:59,472:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:19:59,552:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:19:59,552:INFO:Creating metrics dataframe
- 2022-01-18 15:19:59,565:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 15:19:59,566:INFO:Total runtime is 2.5397435386975604 minutes
- 2022-01-18 15:19:59,571:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:19:59,571:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:19:59,571:INFO:Checking exceptions
- 2022-01-18 15:19:59,572:INFO:Importing libraries
- 2022-01-18 15:19:59,572:INFO:Copying training dataset
- 2022-01-18 15:19:59,574:INFO:Defining folds
- 2022-01-18 15:19:59,574:INFO:Declaring metric variables
- 2022-01-18 15:19:59,579:INFO:Importing untrained model
- 2022-01-18 15:19:59,584:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:19:59,596:INFO:Starting cross validation
- 2022-01-18 15:19:59,597:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:20:04,722:INFO:Calculating mean and std
- 2022-01-18 15:20:04,723:INFO:Creating metrics dataframe
- 2022-01-18 15:20:04,726:INFO:Uploading results into container
- 2022-01-18 15:20:04,726:INFO:Uploading model into container now
- 2022-01-18 15:20:04,726:INFO:create_model_container: 13
- 2022-01-18 15:20:04,726:INFO:master_model_container: 13
- 2022-01-18 15:20:04,726:INFO:display_container: 2
- 2022-01-18 15:20:04,727:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=695, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:20:04,727:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:20:04,794:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:20:04,795:INFO:Creating metrics dataframe
- 2022-01-18 15:20:04,808:INFO:Initializing Dummy Classifier
- 2022-01-18 15:20:04,808:INFO:Total runtime is 2.627113389968872 minutes
- 2022-01-18 15:20:04,813:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:20:04,813:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:20:04,814:INFO:Checking exceptions
- 2022-01-18 15:20:04,814:INFO:Importing libraries
- 2022-01-18 15:20:04,814:INFO:Copying training dataset
- 2022-01-18 15:20:04,816:INFO:Defining folds
- 2022-01-18 15:20:04,816:INFO:Declaring metric variables
- 2022-01-18 15:20:04,821:INFO:Importing untrained model
- 2022-01-18 15:20:04,826:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 15:20:04,836:INFO:Starting cross validation
- 2022-01-18 15:20:04,837:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:20:04,957:INFO:Calculating mean and std
- 2022-01-18 15:20:04,958:INFO:Creating metrics dataframe
- 2022-01-18 15:20:04,960:INFO:Uploading results into container
- 2022-01-18 15:20:04,961:INFO:Uploading model into container now
- 2022-01-18 15:20:04,961:INFO:create_model_container: 14
- 2022-01-18 15:20:04,961:INFO:master_model_container: 14
- 2022-01-18 15:20:04,961:INFO:display_container: 2
- 2022-01-18 15:20:04,961:INFO:DummyClassifier(constant=None, random_state=695, strategy='prior')
- 2022-01-18 15:20:04,961:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:20:05,030:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:20:05,030:INFO:Creating metrics dataframe
- 2022-01-18 15:20:05,056:INFO:Initializing create_model()
- 2022-01-18 15:20:05,056:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=695, verbose=0,
- 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={})
- 2022-01-18 15:20:05,056:INFO:Checking exceptions
- 2022-01-18 15:20:05,056:INFO:Importing libraries
- 2022-01-18 15:20:05,057:INFO:Copying training dataset
- 2022-01-18 15:20:05,058:INFO:Defining folds
- 2022-01-18 15:20:05,058:INFO:Declaring metric variables
- 2022-01-18 15:20:05,058:INFO:Importing untrained model
- 2022-01-18 15:20:05,058:INFO:Declaring custom model
- 2022-01-18 15:20:05,059:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:20:05,059:INFO:Cross validation set to False
- 2022-01-18 15:20:05,060:INFO:Fitting Model
- 2022-01-18 15:20:05,482:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=695, verbose=0,
- warm_start=False)
- 2022-01-18 15:20:05,483:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:20:05,583:INFO:create_model_container: 14
- 2022-01-18 15:20:05,583:INFO:master_model_container: 14
- 2022-01-18 15:20:05,583:INFO:display_container: 2
- 2022-01-18 15:20:05,584:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=695, verbose=0,
- warm_start=False)
- 2022-01-18 15:20:05,584:INFO:compare_models() succesfully completed......................................
- 2022-01-18 15:21:50,815:INFO:PyCaret Supervised Module
- 2022-01-18 15:21:50,816:INFO:ML Usecase: classification
- 2022-01-18 15:21:50,816:INFO:version 2.3.6
- 2022-01-18 15:21:50,816:INFO:Initializing setup()
- 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)
- 2022-01-18 15:21:50,816:INFO:Checking environment
- 2022-01-18 15:21:50,817:INFO:python_version: 3.8.8
- 2022-01-18 15:21:50,817:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:21:50,817:INFO:machine: x86_64
- 2022-01-18 15:21:50,817:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:21:50,818:INFO:Physical Core: 16
- 2022-01-18 15:21:50,818:INFO:Logical Core: 32
- 2022-01-18 15:21:50,818:INFO:Checking libraries
- 2022-01-18 15:21:50,818:INFO:pd==1.2.4
- 2022-01-18 15:21:50,819:INFO:numpy==1.19.5
- 2022-01-18 15:21:50,819:INFO:sklearn==0.23.2
- 2022-01-18 15:21:50,819:INFO:lightgbm==3.3.2
- 2022-01-18 15:21:50,820:WARNING:catboost not found
- 2022-01-18 15:21:50,820:WARNING:xgboost not found
- 2022-01-18 15:21:50,820:INFO:mlflow==1.22.0
- 2022-01-18 15:21:50,821:INFO:Checking Exceptions
- 2022-01-18 15:21:50,821:INFO:Declaring global variables
- 2022-01-18 15:21:50,821:INFO:USI: 3dbb
- 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'}
- 2022-01-18 15:21:50,821:INFO:Preparing display monitor
- 2022-01-18 15:21:50,821:INFO:Preparing display monitor
- 2022-01-18 15:21:50,828:INFO:Importing libraries
- 2022-01-18 15:21:50,829:INFO:Copying data for preprocessing
- 2022-01-18 15:21:50,834:INFO:Declaring preprocessing parameters
- 2022-01-18 15:21:50,835:WARNING:cuML not found
- 2022-01-18 15:21:50,835:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:21:50,838:INFO:Creating preprocessing pipeline
- 2022-01-18 15:21:50,867:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:21:50,867:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:21:50,867:INFO:Creating global containers
- 2022-01-18 15:21:50,867:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:22:17,940:INFO:PyCaret Supervised Module
- 2022-01-18 15:22:17,940:INFO:ML Usecase: classification
- 2022-01-18 15:22:17,940:INFO:version 2.3.6
- 2022-01-18 15:22:17,941:INFO:Initializing setup()
- 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)
- 2022-01-18 15:22:17,941:INFO:Checking environment
- 2022-01-18 15:22:17,941:INFO:python_version: 3.8.8
- 2022-01-18 15:22:17,942:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:22:17,942:INFO:machine: x86_64
- 2022-01-18 15:22:17,942:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:22:17,943:INFO:Physical Core: 16
- 2022-01-18 15:22:17,943:INFO:Logical Core: 32
- 2022-01-18 15:22:17,943:INFO:Checking libraries
- 2022-01-18 15:22:17,943:INFO:pd==1.2.4
- 2022-01-18 15:22:17,943:INFO:numpy==1.19.5
- 2022-01-18 15:22:17,944:INFO:sklearn==0.23.2
- 2022-01-18 15:22:17,944:INFO:lightgbm==3.3.2
- 2022-01-18 15:22:17,944:WARNING:catboost not found
- 2022-01-18 15:22:17,945:WARNING:xgboost not found
- 2022-01-18 15:22:17,945:INFO:mlflow==1.22.0
- 2022-01-18 15:22:17,945:INFO:Checking Exceptions
- 2022-01-18 15:22:17,945:INFO:Declaring global variables
- 2022-01-18 15:22:17,945:INFO:USI: 32fb
- 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'}
- 2022-01-18 15:22:17,946:INFO:Preparing display monitor
- 2022-01-18 15:22:17,946:INFO:Preparing display monitor
- 2022-01-18 15:22:17,955:INFO:Importing libraries
- 2022-01-18 15:22:17,956:INFO:Copying data for preprocessing
- 2022-01-18 15:22:17,962:INFO:Declaring preprocessing parameters
- 2022-01-18 15:22:17,963:WARNING:cuML not found
- 2022-01-18 15:22:17,963:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:22:17,967:INFO:Creating preprocessing pipeline
- 2022-01-18 15:22:18,001:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:22:18,002:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:22:18,002:INFO:Creating global containers
- 2022-01-18 15:22:18,003:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:22:43,448:INFO:PyCaret Supervised Module
- 2022-01-18 15:22:43,448:INFO:ML Usecase: classification
- 2022-01-18 15:22:43,449:INFO:version 2.3.6
- 2022-01-18 15:22:43,449:INFO:Initializing setup()
- 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)
- 2022-01-18 15:22:43,449:INFO:Checking environment
- 2022-01-18 15:22:43,449:INFO:python_version: 3.8.8
- 2022-01-18 15:22:43,449:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:22:43,449:INFO:machine: x86_64
- 2022-01-18 15:22:43,450:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:22:43,451:INFO:Physical Core: 16
- 2022-01-18 15:22:43,451:INFO:Logical Core: 32
- 2022-01-18 15:22:43,451:INFO:Checking libraries
- 2022-01-18 15:22:43,451:INFO:pd==1.2.4
- 2022-01-18 15:22:43,451:INFO:numpy==1.19.5
- 2022-01-18 15:22:43,451:INFO:sklearn==0.23.2
- 2022-01-18 15:22:43,451:INFO:lightgbm==3.3.2
- 2022-01-18 15:22:43,452:WARNING:catboost not found
- 2022-01-18 15:22:43,452:WARNING:xgboost not found
- 2022-01-18 15:22:43,452:INFO:mlflow==1.22.0
- 2022-01-18 15:22:43,453:INFO:Checking Exceptions
- 2022-01-18 15:22:43,453:INFO:Declaring global variables
- 2022-01-18 15:22:43,453:INFO:USI: 3074
- 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'}
- 2022-01-18 15:22:43,453:INFO:Preparing display monitor
- 2022-01-18 15:22:43,454:INFO:Preparing display monitor
- 2022-01-18 15:22:43,461:INFO:Importing libraries
- 2022-01-18 15:22:43,462:INFO:Copying data for preprocessing
- 2022-01-18 15:22:43,468:INFO:Declaring preprocessing parameters
- 2022-01-18 15:22:43,469:WARNING:cuML not found
- 2022-01-18 15:22:43,469:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:22:43,472:INFO:Creating preprocessing pipeline
- 2022-01-18 15:22:43,501:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:22:43,501:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:22:43,502:INFO:Creating global containers
- 2022-01-18 15:22:43,502:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:23:03,219:INFO:PyCaret Supervised Module
- 2022-01-18 15:23:03,219:INFO:ML Usecase: classification
- 2022-01-18 15:23:03,219:INFO:version 2.3.6
- 2022-01-18 15:23:03,220:INFO:Initializing setup()
- 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)
- 2022-01-18 15:23:03,220:INFO:Checking environment
- 2022-01-18 15:23:03,220:INFO:python_version: 3.8.8
- 2022-01-18 15:23:03,220:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:23:03,220:INFO:machine: x86_64
- 2022-01-18 15:23:03,221:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:23:03,221:INFO:Physical Core: 16
- 2022-01-18 15:23:03,222:INFO:Logical Core: 32
- 2022-01-18 15:23:03,222:INFO:Checking libraries
- 2022-01-18 15:23:03,222:INFO:pd==1.2.4
- 2022-01-18 15:23:03,222:INFO:numpy==1.19.5
- 2022-01-18 15:23:03,222:INFO:sklearn==0.23.2
- 2022-01-18 15:23:03,222:INFO:lightgbm==3.3.2
- 2022-01-18 15:23:03,223:WARNING:catboost not found
- 2022-01-18 15:23:03,224:WARNING:xgboost not found
- 2022-01-18 15:23:03,224:INFO:mlflow==1.22.0
- 2022-01-18 15:23:03,224:INFO:Checking Exceptions
- 2022-01-18 15:23:03,224:INFO:Declaring global variables
- 2022-01-18 15:23:03,224:INFO:USI: 7d33
- 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'}
- 2022-01-18 15:23:03,225:INFO:Preparing display monitor
- 2022-01-18 15:23:03,225:INFO:Preparing display monitor
- 2022-01-18 15:23:03,234:INFO:Importing libraries
- 2022-01-18 15:23:03,235:INFO:Copying data for preprocessing
- 2022-01-18 15:23:03,241:INFO:Declaring preprocessing parameters
- 2022-01-18 15:23:03,241:WARNING:cuML not found
- 2022-01-18 15:23:03,241:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:23:03,244:INFO:Creating preprocessing pipeline
- 2022-01-18 15:23:03,273:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:23:03,273:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:23:03,273:INFO:Creating global containers
- 2022-01-18 15:23:03,273:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:23:11,088:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:23:11,116:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:23:11,117:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:23:11,118:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:23:11,132:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:23:11,135:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:23:11,136:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:23:11,139:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:23:11,140:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:23:11,171:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:23:11,172:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:23:11,173:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:23:11,187:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:23:11,190:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:23:11,191:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:23:11,194:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:23:11,195:INFO:Creating grid variables
- 2022-01-18 15:23:11,208:INFO:create_model_container: 0
- 2022-01-18 15:23:11,208:INFO:master_model_container: 0
- 2022-01-18 15:23:11,208:INFO:display_container: 1
- 2022-01-18 15:23:11,212:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=1797, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:23:11,212:INFO:setup() succesfully completed......................................
- 2022-01-18 15:27:40,371:INFO:PyCaret Supervised Module
- 2022-01-18 15:27:40,371:INFO:ML Usecase: classification
- 2022-01-18 15:27:40,371:INFO:version 2.3.6
- 2022-01-18 15:27:40,372:INFO:Initializing setup()
- 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)
- 2022-01-18 15:27:40,372:INFO:Checking environment
- 2022-01-18 15:27:40,372:INFO:python_version: 3.8.8
- 2022-01-18 15:27:40,372:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:27:40,373:INFO:machine: x86_64
- 2022-01-18 15:27:40,373:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:27:40,374:INFO:Physical Core: 16
- 2022-01-18 15:27:40,374:INFO:Logical Core: 32
- 2022-01-18 15:27:40,374:INFO:Checking libraries
- 2022-01-18 15:27:40,374:INFO:pd==1.2.4
- 2022-01-18 15:27:40,374:INFO:numpy==1.19.5
- 2022-01-18 15:27:40,374:INFO:sklearn==0.23.2
- 2022-01-18 15:27:40,375:INFO:lightgbm==3.3.2
- 2022-01-18 15:27:40,375:WARNING:catboost not found
- 2022-01-18 15:27:40,376:WARNING:xgboost not found
- 2022-01-18 15:27:40,376:INFO:mlflow==1.22.0
- 2022-01-18 15:27:40,376:INFO:Checking Exceptions
- 2022-01-18 15:27:40,376:INFO:Declaring global variables
- 2022-01-18 15:27:40,376:INFO:USI: aef0
- 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'}
- 2022-01-18 15:27:40,377:INFO:Preparing display monitor
- 2022-01-18 15:27:40,377:INFO:Preparing display monitor
- 2022-01-18 15:27:40,385:INFO:Importing libraries
- 2022-01-18 15:27:40,385:INFO:Copying data for preprocessing
- 2022-01-18 15:27:40,392:INFO:Declaring preprocessing parameters
- 2022-01-18 15:27:40,393:WARNING:cuML not found
- 2022-01-18 15:27:40,393:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:27:40,396:INFO:Creating preprocessing pipeline
- 2022-01-18 15:27:40,428:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:27:40,428:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:27:40,428:INFO:Creating global containers
- 2022-01-18 15:27:40,429:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:30:12,715:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:30:12,743:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:30:12,743:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:30:12,744:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:30:12,759:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:30:12,762:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:30:12,763:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:30:12,766:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:30:12,766:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:30:12,797:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:30:12,797:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:30:12,798:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:30:12,812:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:30:12,815:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:30:12,817:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:30:12,821:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:30:12,821:INFO:Creating grid variables
- 2022-01-18 15:30:12,834:INFO:create_model_container: 0
- 2022-01-18 15:30:12,834:INFO:master_model_container: 0
- 2022-01-18 15:30:12,834:INFO:display_container: 1
- 2022-01-18 15:30:12,838:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=2651, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:30:12,838:INFO:setup() succesfully completed......................................
- 2022-01-18 15:31:50,249:INFO:PyCaret Supervised Module
- 2022-01-18 15:31:50,249:INFO:ML Usecase: classification
- 2022-01-18 15:31:50,249:INFO:version 2.3.6
- 2022-01-18 15:31:50,249:INFO:Initializing setup()
- 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)
- 2022-01-18 15:31:50,250:INFO:Checking environment
- 2022-01-18 15:31:50,250:INFO:python_version: 3.8.8
- 2022-01-18 15:31:50,250:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:31:50,250:INFO:machine: x86_64
- 2022-01-18 15:31:50,250:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:31:50,251:INFO:Physical Core: 16
- 2022-01-18 15:31:50,251:INFO:Logical Core: 32
- 2022-01-18 15:31:50,251:INFO:Checking libraries
- 2022-01-18 15:31:50,252:INFO:pd==1.2.4
- 2022-01-18 15:31:50,252:INFO:numpy==1.19.5
- 2022-01-18 15:31:50,252:INFO:sklearn==0.23.2
- 2022-01-18 15:31:50,252:INFO:lightgbm==3.3.2
- 2022-01-18 15:31:50,253:WARNING:catboost not found
- 2022-01-18 15:31:50,253:WARNING:xgboost not found
- 2022-01-18 15:31:50,253:INFO:mlflow==1.22.0
- 2022-01-18 15:31:50,253:INFO:Checking Exceptions
- 2022-01-18 15:31:50,254:INFO:Declaring global variables
- 2022-01-18 15:31:50,254:INFO:USI: 8799
- 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'}
- 2022-01-18 15:31:50,254:INFO:Preparing display monitor
- 2022-01-18 15:31:50,254:INFO:Preparing display monitor
- 2022-01-18 15:31:50,261:INFO:Importing libraries
- 2022-01-18 15:31:50,262:INFO:Copying data for preprocessing
- 2022-01-18 15:31:50,268:INFO:Declaring preprocessing parameters
- 2022-01-18 15:31:50,269:WARNING:cuML not found
- 2022-01-18 15:31:50,269:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:31:50,272:INFO:Creating preprocessing pipeline
- 2022-01-18 15:31:50,301:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:31:50,301:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:31:50,301:INFO:Creating global containers
- 2022-01-18 15:31:50,302:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:31:52,904:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:31:52,935:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:31:52,935:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:31:52,936:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:31:52,951:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:31:52,955:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:31:52,956:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:31:52,991:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:31:52,992:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:31:53,022:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:31:53,023:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:31:53,024:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:31:53,039:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:31:53,043:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:31:53,044:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:31:53,048:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:31:53,048:INFO:Creating grid variables
- 2022-01-18 15:31:53,062:INFO:create_model_container: 0
- 2022-01-18 15:31:53,063:INFO:master_model_container: 0
- 2022-01-18 15:31:53,063:INFO:display_container: 1
- 2022-01-18 15:31:53,066:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:31:53,066:INFO:setup() succesfully completed......................................
- 2022-01-18 15:41:05,679:INFO:PyCaret Supervised Module
- 2022-01-18 15:41:05,679:INFO:ML Usecase: classification
- 2022-01-18 15:41:05,679:INFO:version 2.3.6
- 2022-01-18 15:41:05,680:INFO:Initializing setup()
- 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)
- 2022-01-18 15:41:05,680:INFO:Checking environment
- 2022-01-18 15:41:05,680:INFO:python_version: 3.8.8
- 2022-01-18 15:41:05,680:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:41:05,680:INFO:machine: x86_64
- 2022-01-18 15:41:05,680:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:41:05,681:INFO:Physical Core: 16
- 2022-01-18 15:41:05,681:INFO:Logical Core: 32
- 2022-01-18 15:41:05,682:INFO:Checking libraries
- 2022-01-18 15:41:05,682:INFO:pd==1.2.4
- 2022-01-18 15:41:05,682:INFO:numpy==1.19.5
- 2022-01-18 15:41:05,682:INFO:sklearn==0.23.2
- 2022-01-18 15:41:05,682:INFO:lightgbm==3.3.2
- 2022-01-18 15:41:05,683:WARNING:catboost not found
- 2022-01-18 15:41:05,683:WARNING:xgboost not found
- 2022-01-18 15:41:05,683:INFO:mlflow==1.22.0
- 2022-01-18 15:41:05,684:INFO:Checking Exceptions
- 2022-01-18 15:41:05,684:INFO:Declaring global variables
- 2022-01-18 15:41:05,684:INFO:USI: ab39
- 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'}
- 2022-01-18 15:41:05,684:INFO:Preparing display monitor
- 2022-01-18 15:41:05,684:INFO:Preparing display monitor
- 2022-01-18 15:41:05,692:INFO:Importing libraries
- 2022-01-18 15:41:05,693:INFO:Copying data for preprocessing
- 2022-01-18 15:41:05,698:INFO:Declaring preprocessing parameters
- 2022-01-18 15:41:05,699:WARNING:cuML not found
- 2022-01-18 15:41:05,699:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:41:05,701:INFO:Creating preprocessing pipeline
- 2022-01-18 15:41:05,730:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:41:05,730:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:41:05,730:INFO:Creating global containers
- 2022-01-18 15:41:05,731:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:41:07,474:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:41:07,502:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:41:07,503:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:41:07,504:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:41:07,518:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:41:07,521:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:41:07,522:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:41:07,525:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:41:07,526:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:41:07,556:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:41:07,557:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:41:07,557:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:41:07,572:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:41:07,576:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:41:07,577:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:41:07,580:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:41:07,580:INFO:Creating grid variables
- 2022-01-18 15:41:07,593:INFO:create_model_container: 0
- 2022-01-18 15:41:07,593:INFO:master_model_container: 0
- 2022-01-18 15:41:07,594:INFO:display_container: 1
- 2022-01-18 15:41:07,597:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:41:07,597:INFO:setup() succesfully completed......................................
- 2022-01-18 15:41:13,467:INFO:Initializing compare_models()
- 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)
- 2022-01-18 15:41:13,467:INFO:Checking exceptions
- 2022-01-18 15:41:13,468:INFO:Preparing display monitor
- 2022-01-18 15:41:13,469:INFO:Preparing display monitor
- 2022-01-18 15:41:13,485:INFO:Initializing Logistic Regression
- 2022-01-18 15:41:13,485:INFO:Total runtime is 5.93264897664388e-06 minutes
- 2022-01-18 15:41:13,491:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:13,491:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:13,491:INFO:Checking exceptions
- 2022-01-18 15:41:13,492:INFO:Importing libraries
- 2022-01-18 15:41:13,492:INFO:Copying training dataset
- 2022-01-18 15:41:13,493:INFO:Defining folds
- 2022-01-18 15:41:13,493:INFO:Declaring metric variables
- 2022-01-18 15:41:13,498:INFO:Importing untrained model
- 2022-01-18 15:41:13,503:INFO:Logistic Regression Imported succesfully
- 2022-01-18 15:41:13,514:INFO:Starting cross validation
- 2022-01-18 15:41:13,515:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:20,325:INFO:Calculating mean and std
- 2022-01-18 15:41:20,330:INFO:Creating metrics dataframe
- 2022-01-18 15:41:20,343:INFO:Uploading results into container
- 2022-01-18 15:41:20,343:INFO:Uploading model into container now
- 2022-01-18 15:41:20,344:INFO:create_model_container: 1
- 2022-01-18 15:41:20,347:INFO:master_model_container: 1
- 2022-01-18 15:41:20,348:INFO:display_container: 2
- 2022-01-18 15:41:20,350:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=7473, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 15:41:20,351:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:20,444:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:20,444:INFO:Creating metrics dataframe
- 2022-01-18 15:41:20,453:INFO:Initializing K Neighbors Classifier
- 2022-01-18 15:41:20,453:INFO:Total runtime is 0.11613946358362834 minutes
- 2022-01-18 15:41:20,458:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:20,459:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:20,459:INFO:Checking exceptions
- 2022-01-18 15:41:20,459:INFO:Importing libraries
- 2022-01-18 15:41:20,459:INFO:Copying training dataset
- 2022-01-18 15:41:20,460:INFO:Defining folds
- 2022-01-18 15:41:20,460:INFO:Declaring metric variables
- 2022-01-18 15:41:20,465:INFO:Importing untrained model
- 2022-01-18 15:41:20,470:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:41:20,480:INFO:Starting cross validation
- 2022-01-18 15:41:20,480:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:37,977:INFO:Calculating mean and std
- 2022-01-18 15:41:37,978:INFO:Creating metrics dataframe
- 2022-01-18 15:41:37,981:INFO:Uploading results into container
- 2022-01-18 15:41:37,981:INFO:Uploading model into container now
- 2022-01-18 15:41:37,981:INFO:create_model_container: 2
- 2022-01-18 15:41:37,981:INFO:master_model_container: 2
- 2022-01-18 15:41:37,981:INFO:display_container: 2
- 2022-01-18 15:41:37,982:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:41:37,982:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:38,066:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:38,066:INFO:Creating metrics dataframe
- 2022-01-18 15:41:38,076:INFO:Initializing Naive Bayes
- 2022-01-18 15:41:38,077:INFO:Total runtime is 0.40986427466074626 minutes
- 2022-01-18 15:41:38,082:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:38,082:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:38,083:INFO:Checking exceptions
- 2022-01-18 15:41:38,083:INFO:Importing libraries
- 2022-01-18 15:41:38,083:INFO:Copying training dataset
- 2022-01-18 15:41:38,086:INFO:Defining folds
- 2022-01-18 15:41:38,086:INFO:Declaring metric variables
- 2022-01-18 15:41:38,091:INFO:Importing untrained model
- 2022-01-18 15:41:38,096:INFO:Naive Bayes Imported succesfully
- 2022-01-18 15:41:38,105:INFO:Starting cross validation
- 2022-01-18 15:41:38,106:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:38,359:INFO:Calculating mean and std
- 2022-01-18 15:41:38,360:INFO:Creating metrics dataframe
- 2022-01-18 15:41:38,363:INFO:Uploading results into container
- 2022-01-18 15:41:38,363:INFO:Uploading model into container now
- 2022-01-18 15:41:38,363:INFO:create_model_container: 3
- 2022-01-18 15:41:38,363:INFO:master_model_container: 3
- 2022-01-18 15:41:38,363:INFO:display_container: 2
- 2022-01-18 15:41:38,364:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 15:41:38,364:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:38,453:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:38,453:INFO:Creating metrics dataframe
- 2022-01-18 15:41:38,464:INFO:Initializing Decision Tree Classifier
- 2022-01-18 15:41:38,464:INFO:Total runtime is 0.41632137695948285 minutes
- 2022-01-18 15:41:38,470:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:38,470:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:38,470:INFO:Checking exceptions
- 2022-01-18 15:41:38,471:INFO:Importing libraries
- 2022-01-18 15:41:38,471:INFO:Copying training dataset
- 2022-01-18 15:41:38,472:INFO:Defining folds
- 2022-01-18 15:41:38,472:INFO:Declaring metric variables
- 2022-01-18 15:41:38,477:INFO:Importing untrained model
- 2022-01-18 15:41:38,482:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:41:38,492:INFO:Starting cross validation
- 2022-01-18 15:41:38,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:39,401:INFO:Calculating mean and std
- 2022-01-18 15:41:39,402:INFO:Creating metrics dataframe
- 2022-01-18 15:41:39,404:INFO:Uploading results into container
- 2022-01-18 15:41:39,405:INFO:Uploading model into container now
- 2022-01-18 15:41:39,405:INFO:create_model_container: 4
- 2022-01-18 15:41:39,405:INFO:master_model_container: 4
- 2022-01-18 15:41:39,405:INFO:display_container: 2
- 2022-01-18 15:41:39,406:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:41:39,406:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:39,482:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:39,482:INFO:Creating metrics dataframe
- 2022-01-18 15:41:39,493:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 15:41:39,494:INFO:Total runtime is 0.433481498559316 minutes
- 2022-01-18 15:41:39,499:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:39,500:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:39,500:INFO:Checking exceptions
- 2022-01-18 15:41:39,500:INFO:Importing libraries
- 2022-01-18 15:41:39,500:INFO:Copying training dataset
- 2022-01-18 15:41:39,502:INFO:Defining folds
- 2022-01-18 15:41:39,502:INFO:Declaring metric variables
- 2022-01-18 15:41:39,507:INFO:Importing untrained model
- 2022-01-18 15:41:39,512:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 15:41:39,524:INFO:Starting cross validation
- 2022-01-18 15:41:39,524:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:40,722:INFO:Calculating mean and std
- 2022-01-18 15:41:40,725:INFO:Creating metrics dataframe
- 2022-01-18 15:41:40,729:INFO:Uploading results into container
- 2022-01-18 15:41:40,729:INFO:Uploading model into container now
- 2022-01-18 15:41:40,733:INFO:create_model_container: 5
- 2022-01-18 15:41:40,734:INFO:master_model_container: 5
- 2022-01-18 15:41:40,734:INFO:display_container: 2
- 2022-01-18 15:41:40,735:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=7473, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 15:41:40,735:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:40,827:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:40,827:INFO:Creating metrics dataframe
- 2022-01-18 15:41:40,838:INFO:Initializing Ridge Classifier
- 2022-01-18 15:41:40,838:INFO:Total runtime is 0.45589210987091067 minutes
- 2022-01-18 15:41:40,843:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:40,844:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:40,844:INFO:Checking exceptions
- 2022-01-18 15:41:40,844:INFO:Importing libraries
- 2022-01-18 15:41:40,844:INFO:Copying training dataset
- 2022-01-18 15:41:40,846:INFO:Defining folds
- 2022-01-18 15:41:40,846:INFO:Declaring metric variables
- 2022-01-18 15:41:40,851:INFO:Importing untrained model
- 2022-01-18 15:41:40,856:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 15:41:40,866:INFO:Starting cross validation
- 2022-01-18 15:41:40,866:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:41,493:INFO:Calculating mean and std
- 2022-01-18 15:41:41,494:INFO:Creating metrics dataframe
- 2022-01-18 15:41:41,500:INFO:Uploading results into container
- 2022-01-18 15:41:41,500:INFO:Uploading model into container now
- 2022-01-18 15:41:41,500:INFO:create_model_container: 6
- 2022-01-18 15:41:41,500:INFO:master_model_container: 6
- 2022-01-18 15:41:41,501:INFO:display_container: 2
- 2022-01-18 15:41:41,501:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=7473,
- solver='auto', tol=0.001)
- 2022-01-18 15:41:41,501:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:41,598:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:41,598:INFO:Creating metrics dataframe
- 2022-01-18 15:41:41,610:INFO:Initializing Random Forest Classifier
- 2022-01-18 15:41:41,610:INFO:Total runtime is 0.4687506755193075 minutes
- 2022-01-18 15:41:41,615:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:41,615:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:41,615:INFO:Checking exceptions
- 2022-01-18 15:41:41,616:INFO:Importing libraries
- 2022-01-18 15:41:41,616:INFO:Copying training dataset
- 2022-01-18 15:41:41,617:INFO:Defining folds
- 2022-01-18 15:41:41,617:INFO:Declaring metric variables
- 2022-01-18 15:41:41,623:INFO:Importing untrained model
- 2022-01-18 15:41:41,627:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:41:41,638:INFO:Starting cross validation
- 2022-01-18 15:41:41,638:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:48,145:INFO:Calculating mean and std
- 2022-01-18 15:41:48,146:INFO:Creating metrics dataframe
- 2022-01-18 15:41:48,148:INFO:Uploading results into container
- 2022-01-18 15:41:48,149:INFO:Uploading model into container now
- 2022-01-18 15:41:48,149:INFO:create_model_container: 7
- 2022-01-18 15:41:48,149:INFO:master_model_container: 7
- 2022-01-18 15:41:48,149:INFO:display_container: 2
- 2022-01-18 15:41:48,150:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:41:48,150:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:48,237:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:48,237:INFO:Creating metrics dataframe
- 2022-01-18 15:41:48,248:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 15:41:48,248:INFO:Total runtime is 0.5793914993604025 minutes
- 2022-01-18 15:41:48,253:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:48,254:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:48,254:INFO:Checking exceptions
- 2022-01-18 15:41:48,254:INFO:Importing libraries
- 2022-01-18 15:41:48,254:INFO:Copying training dataset
- 2022-01-18 15:41:48,256:INFO:Defining folds
- 2022-01-18 15:41:48,256:INFO:Declaring metric variables
- 2022-01-18 15:41:48,261:INFO:Importing untrained model
- 2022-01-18 15:41:48,266:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 15:41:48,276:INFO:Starting cross validation
- 2022-01-18 15:41:48,276:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:49,361:INFO:Calculating mean and std
- 2022-01-18 15:41:49,362:INFO:Creating metrics dataframe
- 2022-01-18 15:41:49,369:INFO:Uploading results into container
- 2022-01-18 15:41:49,371:INFO:Uploading model into container now
- 2022-01-18 15:41:49,371:INFO:create_model_container: 8
- 2022-01-18 15:41:49,372:INFO:master_model_container: 8
- 2022-01-18 15:41:49,372:INFO:display_container: 2
- 2022-01-18 15:41:49,373:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 15:41:49,373:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:49,472:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:49,472:INFO:Creating metrics dataframe
- 2022-01-18 15:41:49,484:INFO:Initializing Ada Boost Classifier
- 2022-01-18 15:41:49,484:INFO:Total runtime is 0.5999911546707154 minutes
- 2022-01-18 15:41:49,490:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:49,490:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:49,491:INFO:Checking exceptions
- 2022-01-18 15:41:49,491:INFO:Importing libraries
- 2022-01-18 15:41:49,491:INFO:Copying training dataset
- 2022-01-18 15:41:49,493:INFO:Defining folds
- 2022-01-18 15:41:49,493:INFO:Declaring metric variables
- 2022-01-18 15:41:49,498:INFO:Importing untrained model
- 2022-01-18 15:41:49,503:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 15:41:49,513:INFO:Starting cross validation
- 2022-01-18 15:41:49,514:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:56,412:INFO:Calculating mean and std
- 2022-01-18 15:41:56,413:INFO:Creating metrics dataframe
- 2022-01-18 15:41:56,416:INFO:Uploading results into container
- 2022-01-18 15:41:56,416:INFO:Uploading model into container now
- 2022-01-18 15:41:56,416:INFO:create_model_container: 9
- 2022-01-18 15:41:56,416:INFO:master_model_container: 9
- 2022-01-18 15:41:56,417:INFO:display_container: 2
- 2022-01-18 15:41:56,417:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=7473)
- 2022-01-18 15:41:56,417:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:56,500:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:56,501:INFO:Creating metrics dataframe
- 2022-01-18 15:41:56,514:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 15:41:56,514:INFO:Total runtime is 0.7171598156293234 minutes
- 2022-01-18 15:41:56,521:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:56,522:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:56,522:INFO:Checking exceptions
- 2022-01-18 15:41:56,522:INFO:Importing libraries
- 2022-01-18 15:41:56,522:INFO:Copying training dataset
- 2022-01-18 15:41:56,524:INFO:Defining folds
- 2022-01-18 15:41:56,524:INFO:Declaring metric variables
- 2022-01-18 15:41:56,529:INFO:Importing untrained model
- 2022-01-18 15:41:56,534:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:41:56,544:INFO:Starting cross validation
- 2022-01-18 15:41:56,545:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:18,613:INFO:Calculating mean and std
- 2022-01-18 15:42:18,614:INFO:Creating metrics dataframe
- 2022-01-18 15:42:18,616:INFO:Uploading results into container
- 2022-01-18 15:42:18,616:INFO:Uploading model into container now
- 2022-01-18 15:42:18,617:INFO:create_model_container: 10
- 2022-01-18 15:42:18,617:INFO:master_model_container: 10
- 2022-01-18 15:42:18,617:INFO:display_container: 2
- 2022-01-18 15:42:18,618:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:42:18,618:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:18,700:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:18,701:INFO:Creating metrics dataframe
- 2022-01-18 15:42:18,713:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 15:42:18,713:INFO:Total runtime is 1.0871387481689454 minutes
- 2022-01-18 15:42:18,719:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:42:18,719:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:42:18,719:INFO:Checking exceptions
- 2022-01-18 15:42:18,720:INFO:Importing libraries
- 2022-01-18 15:42:18,720:INFO:Copying training dataset
- 2022-01-18 15:42:18,721:INFO:Defining folds
- 2022-01-18 15:42:18,721:INFO:Declaring metric variables
- 2022-01-18 15:42:18,726:INFO:Importing untrained model
- 2022-01-18 15:42:18,731:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 15:42:18,741:INFO:Starting cross validation
- 2022-01-18 15:42:18,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:20,528:INFO:Calculating mean and std
- 2022-01-18 15:42:20,529:INFO:Creating metrics dataframe
- 2022-01-18 15:42:20,536:INFO:Uploading results into container
- 2022-01-18 15:42:20,537:INFO:Uploading model into container now
- 2022-01-18 15:42:20,538:INFO:create_model_container: 11
- 2022-01-18 15:42:20,538:INFO:master_model_container: 11
- 2022-01-18 15:42:20,538:INFO:display_container: 2
- 2022-01-18 15:42:20,538:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 15:42:20,539:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:20,639:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:20,639:INFO:Creating metrics dataframe
- 2022-01-18 15:42:20,652:INFO:Initializing Extra Trees Classifier
- 2022-01-18 15:42:20,652:INFO:Total runtime is 1.1194572885831198 minutes
- 2022-01-18 15:42:20,657:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:42:20,658:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:42:20,658:INFO:Checking exceptions
- 2022-01-18 15:42:20,658:INFO:Importing libraries
- 2022-01-18 15:42:20,658:INFO:Copying training dataset
- 2022-01-18 15:42:20,660:INFO:Defining folds
- 2022-01-18 15:42:20,660:INFO:Declaring metric variables
- 2022-01-18 15:42:20,665:INFO:Importing untrained model
- 2022-01-18 15:42:20,669:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:42:20,679:INFO:Starting cross validation
- 2022-01-18 15:42:20,680:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:27,358:INFO:Calculating mean and std
- 2022-01-18 15:42:27,359:INFO:Creating metrics dataframe
- 2022-01-18 15:42:27,361:INFO:Uploading results into container
- 2022-01-18 15:42:27,361:INFO:Uploading model into container now
- 2022-01-18 15:42:27,362:INFO:create_model_container: 12
- 2022-01-18 15:42:27,362:INFO:master_model_container: 12
- 2022-01-18 15:42:27,362:INFO:display_container: 2
- 2022-01-18 15:42:27,362:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:42:27,363:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:27,457:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:27,457:INFO:Creating metrics dataframe
- 2022-01-18 15:42:27,471:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 15:42:27,471:INFO:Total runtime is 1.2331105828285218 minutes
- 2022-01-18 15:42:27,477:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:42:27,478:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:42:27,478:INFO:Checking exceptions
- 2022-01-18 15:42:27,478:INFO:Importing libraries
- 2022-01-18 15:42:27,478:INFO:Copying training dataset
- 2022-01-18 15:42:27,480:INFO:Defining folds
- 2022-01-18 15:42:27,480:INFO:Declaring metric variables
- 2022-01-18 15:42:27,485:INFO:Importing untrained model
- 2022-01-18 15:42:27,491:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:42:27,501:INFO:Starting cross validation
- 2022-01-18 15:42:27,502:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:31,599:INFO:Calculating mean and std
- 2022-01-18 15:42:31,600:INFO:Creating metrics dataframe
- 2022-01-18 15:42:31,603:INFO:Uploading results into container
- 2022-01-18 15:42:31,603:INFO:Uploading model into container now
- 2022-01-18 15:42:31,603:INFO:create_model_container: 13
- 2022-01-18 15:42:31,603:INFO:master_model_container: 13
- 2022-01-18 15:42:31,603:INFO:display_container: 2
- 2022-01-18 15:42:31,604:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:42:31,604:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:31,685:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:31,685:INFO:Creating metrics dataframe
- 2022-01-18 15:42:31,699:INFO:Initializing Dummy Classifier
- 2022-01-18 15:42:31,699:INFO:Total runtime is 1.3035667260487875 minutes
- 2022-01-18 15:42:31,704:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:42:31,705:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:42:31,705:INFO:Checking exceptions
- 2022-01-18 15:42:31,705:INFO:Importing libraries
- 2022-01-18 15:42:31,705:INFO:Copying training dataset
- 2022-01-18 15:42:31,707:INFO:Defining folds
- 2022-01-18 15:42:31,707:INFO:Declaring metric variables
- 2022-01-18 15:42:31,712:INFO:Importing untrained model
- 2022-01-18 15:42:31,717:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 15:42:31,730:INFO:Starting cross validation
- 2022-01-18 15:42:31,731:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:31,859:INFO:Calculating mean and std
- 2022-01-18 15:42:31,860:INFO:Creating metrics dataframe
- 2022-01-18 15:42:31,863:INFO:Uploading results into container
- 2022-01-18 15:42:31,863:INFO:Uploading model into container now
- 2022-01-18 15:42:31,863:INFO:create_model_container: 14
- 2022-01-18 15:42:31,863:INFO:master_model_container: 14
- 2022-01-18 15:42:31,863:INFO:display_container: 2
- 2022-01-18 15:42:31,864:INFO:DummyClassifier(constant=None, random_state=7473, strategy='prior')
- 2022-01-18 15:42:31,864:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:31,951:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:31,951:INFO:Creating metrics dataframe
- 2022-01-18 15:42:31,976:INFO:Initializing create_model()
- 2022-01-18 15:42:31,976:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:42:31,976:INFO:Checking exceptions
- 2022-01-18 15:42:31,976:INFO:Importing libraries
- 2022-01-18 15:42:31,977:INFO:Copying training dataset
- 2022-01-18 15:42:31,977:INFO:Defining folds
- 2022-01-18 15:42:31,978:INFO:Declaring metric variables
- 2022-01-18 15:42:31,978:INFO:Importing untrained model
- 2022-01-18 15:42:31,978:INFO:Declaring custom model
- 2022-01-18 15:42:31,979:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:42:31,979:INFO:Cross validation set to False
- 2022-01-18 15:42:31,979:INFO:Fitting Model
- 2022-01-18 15:42:32,363:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:42:32,364:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:42:32,473:INFO:create_model_container: 14
- 2022-01-18 15:42:32,474:INFO:master_model_container: 14
- 2022-01-18 15:42:32,474:INFO:display_container: 2
- 2022-01-18 15:42:32,474:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:42:32,474:INFO:compare_models() succesfully completed......................................
- 2022-01-18 15:44:30,879:INFO:Initializing compare_models()
- 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)
- 2022-01-18 15:44:30,879:INFO:Checking exceptions
- 2022-01-18 15:44:30,880:INFO:Preparing display monitor
- 2022-01-18 15:44:30,881:INFO:Preparing display monitor
- 2022-01-18 15:44:30,897:INFO:Initializing Logistic Regression
- 2022-01-18 15:44:30,897:INFO:Total runtime is 5.618731180826823e-06 minutes
- 2022-01-18 15:44:30,903:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:30,903:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:30,904:INFO:Checking exceptions
- 2022-01-18 15:44:30,904:INFO:Importing libraries
- 2022-01-18 15:44:30,904:INFO:Copying training dataset
- 2022-01-18 15:44:30,905:INFO:Defining folds
- 2022-01-18 15:44:30,906:INFO:Declaring metric variables
- 2022-01-18 15:44:30,911:INFO:Importing untrained model
- 2022-01-18 15:44:30,916:INFO:Logistic Regression Imported succesfully
- 2022-01-18 15:44:30,926:INFO:Starting cross validation
- 2022-01-18 15:44:30,927:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:37,887:INFO:Calculating mean and std
- 2022-01-18 15:44:37,888:INFO:Creating metrics dataframe
- 2022-01-18 15:44:37,893:INFO:Uploading results into container
- 2022-01-18 15:44:37,893:INFO:Uploading model into container now
- 2022-01-18 15:44:37,893:INFO:create_model_container: 15
- 2022-01-18 15:44:37,894:INFO:master_model_container: 15
- 2022-01-18 15:44:37,894:INFO:display_container: 3
- 2022-01-18 15:44:37,895:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=7473, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 15:44:37,895:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:37,993:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:37,993:INFO:Creating metrics dataframe
- 2022-01-18 15:44:38,003:INFO:Initializing K Neighbors Classifier
- 2022-01-18 15:44:38,003:INFO:Total runtime is 0.11843294302622477 minutes
- 2022-01-18 15:44:38,008:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:38,009:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:38,009:INFO:Checking exceptions
- 2022-01-18 15:44:38,009:INFO:Importing libraries
- 2022-01-18 15:44:38,009:INFO:Copying training dataset
- 2022-01-18 15:44:38,011:INFO:Defining folds
- 2022-01-18 15:44:38,011:INFO:Declaring metric variables
- 2022-01-18 15:44:38,016:INFO:Importing untrained model
- 2022-01-18 15:44:38,021:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:44:38,031:INFO:Starting cross validation
- 2022-01-18 15:44:38,032:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:54,098:INFO:Calculating mean and std
- 2022-01-18 15:44:54,099:INFO:Creating metrics dataframe
- 2022-01-18 15:44:54,102:INFO:Uploading results into container
- 2022-01-18 15:44:54,102:INFO:Uploading model into container now
- 2022-01-18 15:44:54,102:INFO:create_model_container: 16
- 2022-01-18 15:44:54,102:INFO:master_model_container: 16
- 2022-01-18 15:44:54,102:INFO:display_container: 3
- 2022-01-18 15:44:54,103:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:44:54,103:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:54,180:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:54,180:INFO:Creating metrics dataframe
- 2022-01-18 15:44:54,191:INFO:Initializing Naive Bayes
- 2022-01-18 15:44:54,191:INFO:Total runtime is 0.3882308006286621 minutes
- 2022-01-18 15:44:54,196:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:54,196:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:54,197:INFO:Checking exceptions
- 2022-01-18 15:44:54,197:INFO:Importing libraries
- 2022-01-18 15:44:54,197:INFO:Copying training dataset
- 2022-01-18 15:44:54,198:INFO:Defining folds
- 2022-01-18 15:44:54,198:INFO:Declaring metric variables
- 2022-01-18 15:44:54,203:INFO:Importing untrained model
- 2022-01-18 15:44:54,208:INFO:Naive Bayes Imported succesfully
- 2022-01-18 15:44:54,218:INFO:Starting cross validation
- 2022-01-18 15:44:54,219:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:54,482:INFO:Calculating mean and std
- 2022-01-18 15:44:54,482:INFO:Creating metrics dataframe
- 2022-01-18 15:44:54,485:INFO:Uploading results into container
- 2022-01-18 15:44:54,485:INFO:Uploading model into container now
- 2022-01-18 15:44:54,485:INFO:create_model_container: 17
- 2022-01-18 15:44:54,485:INFO:master_model_container: 17
- 2022-01-18 15:44:54,486:INFO:display_container: 3
- 2022-01-18 15:44:54,486:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 15:44:54,486:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:54,568:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:54,568:INFO:Creating metrics dataframe
- 2022-01-18 15:44:54,579:INFO:Initializing Decision Tree Classifier
- 2022-01-18 15:44:54,580:INFO:Total runtime is 0.3947117765744527 minutes
- 2022-01-18 15:44:54,585:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:54,586:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:54,586:INFO:Checking exceptions
- 2022-01-18 15:44:54,586:INFO:Importing libraries
- 2022-01-18 15:44:54,587:INFO:Copying training dataset
- 2022-01-18 15:44:54,588:INFO:Defining folds
- 2022-01-18 15:44:54,588:INFO:Declaring metric variables
- 2022-01-18 15:44:54,593:INFO:Importing untrained model
- 2022-01-18 15:44:54,598:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:44:54,609:INFO:Starting cross validation
- 2022-01-18 15:44:54,609:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:55,506:INFO:Calculating mean and std
- 2022-01-18 15:44:55,507:INFO:Creating metrics dataframe
- 2022-01-18 15:44:55,510:INFO:Uploading results into container
- 2022-01-18 15:44:55,510:INFO:Uploading model into container now
- 2022-01-18 15:44:55,510:INFO:create_model_container: 18
- 2022-01-18 15:44:55,510:INFO:master_model_container: 18
- 2022-01-18 15:44:55,511:INFO:display_container: 3
- 2022-01-18 15:44:55,511:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:44:55,511:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:55,591:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:55,591:INFO:Creating metrics dataframe
- 2022-01-18 15:44:55,602:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 15:44:55,602:INFO:Total runtime is 0.41175559361775715 minutes
- 2022-01-18 15:44:55,608:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:55,608:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:55,608:INFO:Checking exceptions
- 2022-01-18 15:44:55,609:INFO:Importing libraries
- 2022-01-18 15:44:55,609:INFO:Copying training dataset
- 2022-01-18 15:44:55,610:INFO:Defining folds
- 2022-01-18 15:44:55,610:INFO:Declaring metric variables
- 2022-01-18 15:44:55,615:INFO:Importing untrained model
- 2022-01-18 15:44:55,620:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 15:44:55,629:INFO:Starting cross validation
- 2022-01-18 15:44:55,630:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:56,888:INFO:Calculating mean and std
- 2022-01-18 15:44:56,889:INFO:Creating metrics dataframe
- 2022-01-18 15:44:56,893:INFO:Uploading results into container
- 2022-01-18 15:44:56,897:INFO:Uploading model into container now
- 2022-01-18 15:44:56,899:INFO:create_model_container: 19
- 2022-01-18 15:44:56,899:INFO:master_model_container: 19
- 2022-01-18 15:44:56,899:INFO:display_container: 3
- 2022-01-18 15:44:56,900:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=7473, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 15:44:56,902:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:56,999:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:56,999:INFO:Creating metrics dataframe
- 2022-01-18 15:44:57,011:INFO:Initializing Ridge Classifier
- 2022-01-18 15:44:57,011:INFO:Total runtime is 0.43523983160654706 minutes
- 2022-01-18 15:44:57,018:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:57,018:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:57,019:INFO:Checking exceptions
- 2022-01-18 15:44:57,019:INFO:Importing libraries
- 2022-01-18 15:44:57,019:INFO:Copying training dataset
- 2022-01-18 15:44:57,021:INFO:Defining folds
- 2022-01-18 15:44:57,021:INFO:Declaring metric variables
- 2022-01-18 15:44:57,029:INFO:Importing untrained model
- 2022-01-18 15:44:57,036:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 15:44:57,053:INFO:Starting cross validation
- 2022-01-18 15:44:57,054:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:57,608:INFO:Calculating mean and std
- 2022-01-18 15:44:57,611:INFO:Creating metrics dataframe
- 2022-01-18 15:44:57,616:INFO:Uploading results into container
- 2022-01-18 15:44:57,617:INFO:Uploading model into container now
- 2022-01-18 15:44:57,622:INFO:create_model_container: 20
- 2022-01-18 15:44:57,624:INFO:master_model_container: 20
- 2022-01-18 15:44:57,627:INFO:display_container: 3
- 2022-01-18 15:44:57,629:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=7473,
- solver='auto', tol=0.001)
- 2022-01-18 15:44:57,631:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:57,730:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:57,730:INFO:Creating metrics dataframe
- 2022-01-18 15:44:57,741:INFO:Initializing Random Forest Classifier
- 2022-01-18 15:44:57,741:INFO:Total runtime is 0.4474069118499756 minutes
- 2022-01-18 15:44:57,747:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:57,747:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:57,747:INFO:Checking exceptions
- 2022-01-18 15:44:57,748:INFO:Importing libraries
- 2022-01-18 15:44:57,748:INFO:Copying training dataset
- 2022-01-18 15:44:57,749:INFO:Defining folds
- 2022-01-18 15:44:57,749:INFO:Declaring metric variables
- 2022-01-18 15:44:57,755:INFO:Importing untrained model
- 2022-01-18 15:44:57,760:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:44:57,769:INFO:Starting cross validation
- 2022-01-18 15:44:57,770:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:04,305:INFO:Calculating mean and std
- 2022-01-18 15:45:04,307:INFO:Creating metrics dataframe
- 2022-01-18 15:45:04,309:INFO:Uploading results into container
- 2022-01-18 15:45:04,310:INFO:Uploading model into container now
- 2022-01-18 15:45:04,310:INFO:create_model_container: 21
- 2022-01-18 15:45:04,310:INFO:master_model_container: 21
- 2022-01-18 15:45:04,310:INFO:display_container: 3
- 2022-01-18 15:45:04,311:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:04,311:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:04,398:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:04,399:INFO:Creating metrics dataframe
- 2022-01-18 15:45:04,410:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 15:45:04,410:INFO:Total runtime is 0.5585548082987468 minutes
- 2022-01-18 15:45:04,416:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:04,416:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:04,416:INFO:Checking exceptions
- 2022-01-18 15:45:04,416:INFO:Importing libraries
- 2022-01-18 15:45:04,416:INFO:Copying training dataset
- 2022-01-18 15:45:04,418:INFO:Defining folds
- 2022-01-18 15:45:04,418:INFO:Declaring metric variables
- 2022-01-18 15:45:04,422:INFO:Importing untrained model
- 2022-01-18 15:45:04,427:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 15:45:04,437:INFO:Starting cross validation
- 2022-01-18 15:45:04,437:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:05,629:INFO:Calculating mean and std
- 2022-01-18 15:45:05,630:INFO:Creating metrics dataframe
- 2022-01-18 15:45:05,635:INFO:Uploading results into container
- 2022-01-18 15:45:05,635:INFO:Uploading model into container now
- 2022-01-18 15:45:05,636:INFO:create_model_container: 22
- 2022-01-18 15:45:05,636:INFO:master_model_container: 22
- 2022-01-18 15:45:05,637:INFO:display_container: 3
- 2022-01-18 15:45:05,638:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 15:45:05,641:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:05,734:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:05,734:INFO:Creating metrics dataframe
- 2022-01-18 15:45:05,747:INFO:Initializing Ada Boost Classifier
- 2022-01-18 15:45:05,747:INFO:Total runtime is 0.5808298667271933 minutes
- 2022-01-18 15:45:05,752:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:05,753:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:05,753:INFO:Checking exceptions
- 2022-01-18 15:45:05,754:INFO:Importing libraries
- 2022-01-18 15:45:05,754:INFO:Copying training dataset
- 2022-01-18 15:45:05,755:INFO:Defining folds
- 2022-01-18 15:45:05,755:INFO:Declaring metric variables
- 2022-01-18 15:45:05,761:INFO:Importing untrained model
- 2022-01-18 15:45:05,766:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 15:45:05,778:INFO:Starting cross validation
- 2022-01-18 15:45:05,779:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:12,606:INFO:Calculating mean and std
- 2022-01-18 15:45:12,607:INFO:Creating metrics dataframe
- 2022-01-18 15:45:12,610:INFO:Uploading results into container
- 2022-01-18 15:45:12,610:INFO:Uploading model into container now
- 2022-01-18 15:45:12,610:INFO:create_model_container: 23
- 2022-01-18 15:45:12,610:INFO:master_model_container: 23
- 2022-01-18 15:45:12,610:INFO:display_container: 3
- 2022-01-18 15:45:12,610:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=7473)
- 2022-01-18 15:45:12,611:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:12,687:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:12,687:INFO:Creating metrics dataframe
- 2022-01-18 15:45:12,699:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 15:45:12,699:INFO:Total runtime is 0.6967039148012798 minutes
- 2022-01-18 15:45:12,705:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:12,705:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:12,706:INFO:Checking exceptions
- 2022-01-18 15:45:12,706:INFO:Importing libraries
- 2022-01-18 15:45:12,706:INFO:Copying training dataset
- 2022-01-18 15:45:12,707:INFO:Defining folds
- 2022-01-18 15:45:12,707:INFO:Declaring metric variables
- 2022-01-18 15:45:12,712:INFO:Importing untrained model
- 2022-01-18 15:45:12,717:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:45:12,727:INFO:Starting cross validation
- 2022-01-18 15:45:12,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:34,929:INFO:Calculating mean and std
- 2022-01-18 15:45:34,930:INFO:Creating metrics dataframe
- 2022-01-18 15:45:34,932:INFO:Uploading results into container
- 2022-01-18 15:45:34,932:INFO:Uploading model into container now
- 2022-01-18 15:45:34,932:INFO:create_model_container: 24
- 2022-01-18 15:45:34,932:INFO:master_model_container: 24
- 2022-01-18 15:45:34,933:INFO:display_container: 3
- 2022-01-18 15:45:34,933:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:34,933:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:35,009:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:35,009:INFO:Creating metrics dataframe
- 2022-01-18 15:45:35,021:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 15:45:35,021:INFO:Total runtime is 1.0687391678492228 minutes
- 2022-01-18 15:45:35,027:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:35,027:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:35,027:INFO:Checking exceptions
- 2022-01-18 15:45:35,028:INFO:Importing libraries
- 2022-01-18 15:45:35,028:INFO:Copying training dataset
- 2022-01-18 15:45:35,029:INFO:Defining folds
- 2022-01-18 15:45:35,029:INFO:Declaring metric variables
- 2022-01-18 15:45:35,035:INFO:Importing untrained model
- 2022-01-18 15:45:35,040:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 15:45:35,049:INFO:Starting cross validation
- 2022-01-18 15:45:35,050:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:36,973:INFO:Calculating mean and std
- 2022-01-18 15:45:36,975:INFO:Creating metrics dataframe
- 2022-01-18 15:45:36,978:INFO:Uploading results into container
- 2022-01-18 15:45:36,982:INFO:Uploading model into container now
- 2022-01-18 15:45:36,982:INFO:create_model_container: 25
- 2022-01-18 15:45:36,982:INFO:master_model_container: 25
- 2022-01-18 15:45:36,982:INFO:display_container: 3
- 2022-01-18 15:45:36,983:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 15:45:36,983:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:37,091:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:37,091:INFO:Creating metrics dataframe
- 2022-01-18 15:45:37,104:INFO:Initializing Extra Trees Classifier
- 2022-01-18 15:45:37,104:INFO:Total runtime is 1.103451669216156 minutes
- 2022-01-18 15:45:37,110:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:37,110:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:37,110:INFO:Checking exceptions
- 2022-01-18 15:45:37,110:INFO:Importing libraries
- 2022-01-18 15:45:37,110:INFO:Copying training dataset
- 2022-01-18 15:45:37,112:INFO:Defining folds
- 2022-01-18 15:45:37,112:INFO:Declaring metric variables
- 2022-01-18 15:45:37,117:INFO:Importing untrained model
- 2022-01-18 15:45:37,122:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:45:37,132:INFO:Starting cross validation
- 2022-01-18 15:45:37,133:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:43,860:INFO:Calculating mean and std
- 2022-01-18 15:45:43,860:INFO:Creating metrics dataframe
- 2022-01-18 15:45:43,863:INFO:Uploading results into container
- 2022-01-18 15:45:43,863:INFO:Uploading model into container now
- 2022-01-18 15:45:43,863:INFO:create_model_container: 26
- 2022-01-18 15:45:43,863:INFO:master_model_container: 26
- 2022-01-18 15:45:43,864:INFO:display_container: 3
- 2022-01-18 15:45:43,864:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:43,864:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:43,951:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:43,952:INFO:Creating metrics dataframe
- 2022-01-18 15:45:43,965:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 15:45:43,965:INFO:Total runtime is 1.2178025285402934 minutes
- 2022-01-18 15:45:43,970:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:43,971:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:43,971:INFO:Checking exceptions
- 2022-01-18 15:45:43,971:INFO:Importing libraries
- 2022-01-18 15:45:43,971:INFO:Copying training dataset
- 2022-01-18 15:45:43,973:INFO:Defining folds
- 2022-01-18 15:45:43,973:INFO:Declaring metric variables
- 2022-01-18 15:45:43,978:INFO:Importing untrained model
- 2022-01-18 15:45:43,983:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:45:43,993:INFO:Starting cross validation
- 2022-01-18 15:45:43,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:47,319:INFO:Calculating mean and std
- 2022-01-18 15:45:47,320:INFO:Creating metrics dataframe
- 2022-01-18 15:45:47,323:INFO:Uploading results into container
- 2022-01-18 15:45:47,323:INFO:Uploading model into container now
- 2022-01-18 15:45:47,323:INFO:create_model_container: 27
- 2022-01-18 15:45:47,323:INFO:master_model_container: 27
- 2022-01-18 15:45:47,324:INFO:display_container: 3
- 2022-01-18 15:45:47,324:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:45:47,324:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:47,400:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:47,401:INFO:Creating metrics dataframe
- 2022-01-18 15:45:47,414:INFO:Initializing Dummy Classifier
- 2022-01-18 15:45:47,414:INFO:Total runtime is 1.275287119547526 minutes
- 2022-01-18 15:45:47,420:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:47,420:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:47,420:INFO:Checking exceptions
- 2022-01-18 15:45:47,421:INFO:Importing libraries
- 2022-01-18 15:45:47,421:INFO:Copying training dataset
- 2022-01-18 15:45:47,422:INFO:Defining folds
- 2022-01-18 15:45:47,422:INFO:Declaring metric variables
- 2022-01-18 15:45:47,427:INFO:Importing untrained model
- 2022-01-18 15:45:47,432:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 15:45:47,442:INFO:Starting cross validation
- 2022-01-18 15:45:47,442:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:47,561:INFO:Calculating mean and std
- 2022-01-18 15:45:47,561:INFO:Creating metrics dataframe
- 2022-01-18 15:45:47,564:INFO:Uploading results into container
- 2022-01-18 15:45:47,564:INFO:Uploading model into container now
- 2022-01-18 15:45:47,564:INFO:create_model_container: 28
- 2022-01-18 15:45:47,564:INFO:master_model_container: 28
- 2022-01-18 15:45:47,565:INFO:display_container: 3
- 2022-01-18 15:45:47,565:INFO:DummyClassifier(constant=None, random_state=7473, strategy='prior')
- 2022-01-18 15:45:47,565:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:47,649:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:47,649:INFO:Creating metrics dataframe
- 2022-01-18 15:45:47,676:INFO:Initializing create_model()
- 2022-01-18 15:45:47,676:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:45:47,676:INFO:Checking exceptions
- 2022-01-18 15:45:47,676:INFO:Importing libraries
- 2022-01-18 15:45:47,677:INFO:Copying training dataset
- 2022-01-18 15:45:47,678:INFO:Defining folds
- 2022-01-18 15:45:47,678:INFO:Declaring metric variables
- 2022-01-18 15:45:47,678:INFO:Importing untrained model
- 2022-01-18 15:45:47,678:INFO:Declaring custom model
- 2022-01-18 15:45:47,679:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:45:47,679:INFO:Cross validation set to False
- 2022-01-18 15:45:47,679:INFO:Fitting Model
- 2022-01-18 15:45:48,093:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:48,093:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:48,180:INFO:Initializing create_model()
- 2022-01-18 15:45:48,180:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:45:48,180:INFO:Checking exceptions
- 2022-01-18 15:45:48,181:INFO:Importing libraries
- 2022-01-18 15:45:48,181:INFO:Copying training dataset
- 2022-01-18 15:45:48,182:INFO:Defining folds
- 2022-01-18 15:45:48,182:INFO:Declaring metric variables
- 2022-01-18 15:45:48,182:INFO:Importing untrained model
- 2022-01-18 15:45:48,182:INFO:Declaring custom model
- 2022-01-18 15:45:48,183:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:45:48,183:INFO:Cross validation set to False
- 2022-01-18 15:45:48,183:INFO:Fitting Model
- 2022-01-18 15:45:48,504:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:48,504:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:48,587:INFO:Initializing create_model()
- 2022-01-18 15:45:48,587:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 15:45:48,588:INFO:Checking exceptions
- 2022-01-18 15:45:48,588:INFO:Importing libraries
- 2022-01-18 15:45:48,588:INFO:Copying training dataset
- 2022-01-18 15:45:48,589:INFO:Defining folds
- 2022-01-18 15:45:48,589:INFO:Declaring metric variables
- 2022-01-18 15:45:48,589:INFO:Importing untrained model
- 2022-01-18 15:45:48,589:INFO:Declaring custom model
- 2022-01-18 15:45:48,590:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:45:48,590:INFO:Cross validation set to False
- 2022-01-18 15:45:48,590:INFO:Fitting Model
- 2022-01-18 15:45:48,676:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:45:48,676:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:48,759:INFO:Initializing create_model()
- 2022-01-18 15:45:48,759:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-18 15:45:48,759:INFO:Checking exceptions
- 2022-01-18 15:45:48,759:INFO:Importing libraries
- 2022-01-18 15:45:48,760:INFO:Copying training dataset
- 2022-01-18 15:45:48,760:INFO:Defining folds
- 2022-01-18 15:45:48,761:INFO:Declaring metric variables
- 2022-01-18 15:45:48,761:INFO:Importing untrained model
- 2022-01-18 15:45:48,761:INFO:Declaring custom model
- 2022-01-18 15:45:48,761:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:45:48,762:INFO:Cross validation set to False
- 2022-01-18 15:45:48,762:INFO:Fitting Model
- 2022-01-18 15:45:50,213:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:45:50,213:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:50,295:INFO:Initializing create_model()
- 2022-01-18 15:45:50,295:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-18 15:45:50,296:INFO:Checking exceptions
- 2022-01-18 15:45:50,296:INFO:Importing libraries
- 2022-01-18 15:45:50,296:INFO:Copying training dataset
- 2022-01-18 15:45:50,297:INFO:Defining folds
- 2022-01-18 15:45:50,297:INFO:Declaring metric variables
- 2022-01-18 15:45:50,297:INFO:Importing untrained model
- 2022-01-18 15:45:50,297:INFO:Declaring custom model
- 2022-01-18 15:45:50,298:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:45:50,298:INFO:Cross validation set to False
- 2022-01-18 15:45:50,298:INFO:Fitting Model
- 2022-01-18 15:45:50,656:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:45:50,657:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:50,739:INFO:Initializing create_model()
- 2022-01-18 15:45:50,740:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-18 15:45:50,740:INFO:Checking exceptions
- 2022-01-18 15:45:50,740:INFO:Importing libraries
- 2022-01-18 15:45:50,740:INFO:Copying training dataset
- 2022-01-18 15:45:50,741:INFO:Defining folds
- 2022-01-18 15:45:50,741:INFO:Declaring metric variables
- 2022-01-18 15:45:50,741:INFO:Importing untrained model
- 2022-01-18 15:45:50,742:INFO:Declaring custom model
- 2022-01-18 15:45:50,742:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:45:50,742:INFO:Cross validation set to False
- 2022-01-18 15:45:50,743:INFO:Fitting Model
- 2022-01-18 15:45:53,222:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:53,223:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:53,331:INFO:create_model_container: 28
- 2022-01-18 15:45:53,331:INFO:master_model_container: 28
- 2022-01-18 15:45:53,331:INFO:display_container: 3
- 2022-01-18 15:45:53,332:INFO:[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-18 15:45:53,332:INFO:compare_models() succesfully completed......................................
- 2022-01-18 15:47:39,933:INFO:Initializing tune_model()
- 2022-01-18 15:47:39,933:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:47:39,933:INFO:Checking exceptions
- 2022-01-18 15:47:39,934:INFO:Preparing display monitor
- 2022-01-18 15:47:39,945:INFO:Copying training dataset
- 2022-01-18 15:47:39,946:INFO:Checking base model
- 2022-01-18 15:47:39,947:INFO:Base model : Random Forest Classifier
- 2022-01-18 15:47:39,952:INFO:Declaring metric variables
- 2022-01-18 15:47:39,956:INFO:Defining Hyperparameters
- 2022-01-18 15:47:40,044:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:47:40,044:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:48:00,237:INFO:Hyperparameter search completed
- 2022-01-18 15:48:00,237:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:48:00,238:INFO:Initializing create_model()
- 2022-01-18 15:48:00,238:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, 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 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})
- 2022-01-18 15:48:00,238:INFO:Checking exceptions
- 2022-01-18 15:48:00,238:INFO:Importing libraries
- 2022-01-18 15:48:00,239:INFO:Copying training dataset
- 2022-01-18 15:48:00,240:INFO:Defining folds
- 2022-01-18 15:48:00,240:INFO:Declaring metric variables
- 2022-01-18 15:48:00,245:INFO:Importing untrained model
- 2022-01-18 15:48:00,245:INFO:Declaring custom model
- 2022-01-18 15:48:00,251:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:48:00,264:INFO:Starting cross validation
- 2022-01-18 15:48:00,265:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:48:03,098:INFO:Calculating mean and std
- 2022-01-18 15:48:03,099:INFO:Creating metrics dataframe
- 2022-01-18 15:48:03,106:INFO:Finalizing model
- 2022-01-18 15:48:03,220:INFO:Uploading results into container
- 2022-01-18 15:48:03,220:INFO:Uploading model into container now
- 2022-01-18 15:48:03,220:INFO:create_model_container: 29
- 2022-01-18 15:48:03,221:INFO:master_model_container: 29
- 2022-01-18 15:48:03,221:INFO:display_container: 4
- 2022-01-18 15:48:03,221:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:48:03,222:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:48:03,302:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:48:03,312:INFO:create_model_container: 29
- 2022-01-18 15:48:03,312:INFO:master_model_container: 29
- 2022-01-18 15:48:03,312:INFO:display_container: 4
- 2022-01-18 15:48:03,312:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:48:03,313:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:48:03,398:INFO:Initializing tune_model()
- 2022-01-18 15:48:03,398:INFO:tune_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:48:03,398:INFO:Checking exceptions
- 2022-01-18 15:48:03,399:INFO:Preparing display monitor
- 2022-01-18 15:48:03,410:INFO:Copying training dataset
- 2022-01-18 15:48:03,411:INFO:Checking base model
- 2022-01-18 15:48:03,411:INFO:Base model : Extra Trees Classifier
- 2022-01-18 15:48:03,416:INFO:Declaring metric variables
- 2022-01-18 15:48:03,421:INFO:Defining Hyperparameters
- 2022-01-18 15:48:03,510:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:48:03,510:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:48:21,992:INFO:Hyperparameter search completed
- 2022-01-18 15:48:21,992:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:48:21,993:INFO:Initializing create_model()
- 2022-01-18 15:48:21,993:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, 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 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})
- 2022-01-18 15:48:21,993:INFO:Checking exceptions
- 2022-01-18 15:48:21,993:INFO:Importing libraries
- 2022-01-18 15:48:21,993:INFO:Copying training dataset
- 2022-01-18 15:48:21,995:INFO:Defining folds
- 2022-01-18 15:48:21,995:INFO:Declaring metric variables
- 2022-01-18 15:48:22,000:INFO:Importing untrained model
- 2022-01-18 15:48:22,000:INFO:Declaring custom model
- 2022-01-18 15:48:22,005:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:48:22,015:INFO:Starting cross validation
- 2022-01-18 15:48:22,016:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:48:24,852:INFO:Calculating mean and std
- 2022-01-18 15:48:24,853:INFO:Creating metrics dataframe
- 2022-01-18 15:48:24,861:INFO:Finalizing model
- 2022-01-18 15:48:24,977:INFO:Uploading results into container
- 2022-01-18 15:48:24,978:INFO:Uploading model into container now
- 2022-01-18 15:48:24,978:INFO:create_model_container: 30
- 2022-01-18 15:48:24,978:INFO:master_model_container: 30
- 2022-01-18 15:48:24,978:INFO:display_container: 5
- 2022-01-18 15:48:24,979:INFO:ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:48:24,979:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:48:25,057:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:48:25,067:INFO:create_model_container: 30
- 2022-01-18 15:48:25,067:INFO:master_model_container: 30
- 2022-01-18 15:48:25,067:INFO:display_container: 5
- 2022-01-18 15:48:25,068:INFO:ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:48:25,068:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:48:25,150:INFO:Initializing tune_model()
- 2022-01-18 15:48:25,150:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 15:48:25,151:INFO:Checking exceptions
- 2022-01-18 15:48:25,152:INFO:Preparing display monitor
- 2022-01-18 15:48:25,163:INFO:Copying training dataset
- 2022-01-18 15:48:25,164:INFO:Checking base model
- 2022-01-18 15:48:25,164:INFO:Base model : Decision Tree Classifier
- 2022-01-18 15:48:25,169:INFO:Declaring metric variables
- 2022-01-18 15:48:25,173:INFO:Defining Hyperparameters
- 2022-01-18 15:48:25,273:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:48:25,274:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 15:48:25,733:INFO:Hyperparameter search completed
- 2022-01-18 15:48:25,734:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:48:25,734:INFO:Initializing create_model()
- 2022-01-18 15:48:25,734:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 15:48:25,734:INFO:Checking exceptions
- 2022-01-18 15:48:25,735:INFO:Importing libraries
- 2022-01-18 15:48:25,735:INFO:Copying training dataset
- 2022-01-18 15:48:25,736:INFO:Defining folds
- 2022-01-18 15:48:25,736:INFO:Declaring metric variables
- 2022-01-18 15:48:25,741:INFO:Importing untrained model
- 2022-01-18 15:48:25,741:INFO:Declaring custom model
- 2022-01-18 15:48:25,746:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:48:25,756:INFO:Starting cross validation
- 2022-01-18 15:48:25,757:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:48:26,246:INFO:Calculating mean and std
- 2022-01-18 15:48:26,246:INFO:Creating metrics dataframe
- 2022-01-18 15:48:26,253:INFO:Finalizing model
- 2022-01-18 15:48:26,298:INFO:Uploading results into container
- 2022-01-18 15:48:26,298:INFO:Uploading model into container now
- 2022-01-18 15:48:26,299:INFO:create_model_container: 31
- 2022-01-18 15:48:26,299:INFO:master_model_container: 31
- 2022-01-18 15:48:26,299:INFO:display_container: 6
- 2022-01-18 15:48:26,299:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=11, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=6, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:48:26,299:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:48:26,385:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:48:26,395:INFO:create_model_container: 31
- 2022-01-18 15:48:26,396:INFO:master_model_container: 31
- 2022-01-18 15:48:26,396:INFO:display_container: 6
- 2022-01-18 15:48:26,396:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=11, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=6, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:48:26,396:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:48:26,481:INFO:Initializing tune_model()
- 2022-01-18 15:48:26,482:INFO:tune_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-18 15:48:26,482:INFO:Checking exceptions
- 2022-01-18 15:48:26,483:INFO:Preparing display monitor
- 2022-01-18 15:48:26,494:INFO:Copying training dataset
- 2022-01-18 15:48:26,495:INFO:Checking base model
- 2022-01-18 15:48:26,495:INFO:Base model : K Neighbors Classifier
- 2022-01-18 15:48:26,500:INFO:Declaring metric variables
- 2022-01-18 15:48:26,505:INFO:Defining Hyperparameters
- 2022-01-18 15:48:26,594:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:48:26,595:INFO:Initializing RandomizedSearchCV
- 2022-01-18 15:49:12,011:INFO:best_params: {'actual_estimator__weights': 'distance', 'actual_estimator__n_neighbors': 32, 'actual_estimator__metric': 'manhattan'}
- 2022-01-18 15:49:12,012:INFO:Hyperparameter search completed
- 2022-01-18 15:49:12,012:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:49:12,013:INFO:Initializing create_model()
- 2022-01-18 15:49:12,013:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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'})
- 2022-01-18 15:49:12,013:INFO:Checking exceptions
- 2022-01-18 15:49:12,014:INFO:Importing libraries
- 2022-01-18 15:49:12,014:INFO:Copying training dataset
- 2022-01-18 15:49:12,016:INFO:Defining folds
- 2022-01-18 15:49:12,016:INFO:Declaring metric variables
- 2022-01-18 15:49:12,024:INFO:Importing untrained model
- 2022-01-18 15:49:12,024:INFO:Declaring custom model
- 2022-01-18 15:49:12,030:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:49:12,043:INFO:Starting cross validation
- 2022-01-18 15:49:12,044:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:49:31,378:INFO:Calculating mean and std
- 2022-01-18 15:49:31,379:INFO:Creating metrics dataframe
- 2022-01-18 15:49:31,386:INFO:Finalizing model
- 2022-01-18 15:49:32,865:INFO:Uploading results into container
- 2022-01-18 15:49:32,866:INFO:Uploading model into container now
- 2022-01-18 15:49:32,866:INFO:create_model_container: 32
- 2022-01-18 15:49:32,866:INFO:master_model_container: 32
- 2022-01-18 15:49:32,866:INFO:display_container: 7
- 2022-01-18 15:49:32,867:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
- metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
- weights='distance')
- 2022-01-18 15:49:32,867:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:49:32,961:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:49:32,971:INFO:create_model_container: 32
- 2022-01-18 15:49:32,971:INFO:master_model_container: 32
- 2022-01-18 15:49:32,971:INFO:display_container: 7
- 2022-01-18 15:49:32,972:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
- metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
- weights='distance')
- 2022-01-18 15:49:32,972:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:49:33,065:INFO:Initializing tune_model()
- 2022-01-18 15:49:33,065:INFO:tune_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-18 15:49:33,065:INFO:Checking exceptions
- 2022-01-18 15:49:33,066:INFO:Preparing display monitor
- 2022-01-18 15:49:33,077:INFO:Copying training dataset
- 2022-01-18 15:49:33,079:INFO:Checking base model
- 2022-01-18 15:49:33,079:INFO:Base model : Light Gradient Boosting Machine
- 2022-01-18 15:49:33,084:INFO:Declaring metric variables
- 2022-01-18 15:49:33,089:INFO:Defining Hyperparameters
- 2022-01-18 15:49:33,178:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:49:33,178:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:49:38,670:INFO:Hyperparameter search completed
- 2022-01-18 15:49:38,671:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:49:38,671:INFO:Initializing create_model()
- 2022-01-18 15:49:38,671:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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})
- 2022-01-18 15:49:38,672:INFO:Checking exceptions
- 2022-01-18 15:49:38,672:INFO:Importing libraries
- 2022-01-18 15:49:38,672:INFO:Copying training dataset
- 2022-01-18 15:49:38,674:INFO:Defining folds
- 2022-01-18 15:49:38,674:INFO:Declaring metric variables
- 2022-01-18 15:49:38,680:INFO:Importing untrained model
- 2022-01-18 15:49:38,680:INFO:Declaring custom model
- 2022-01-18 15:49:38,685:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:49:38,695:INFO:Starting cross validation
- 2022-01-18 15:49:38,696:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:49:45,456:INFO:Calculating mean and std
- 2022-01-18 15:49:45,457:INFO:Creating metrics dataframe
- 2022-01-18 15:49:45,465:INFO:Finalizing model
- 2022-01-18 15:49:46,425:INFO:Uploading results into container
- 2022-01-18 15:49:46,426:INFO:Uploading model into container now
- 2022-01-18 15:49:46,426:INFO:create_model_container: 33
- 2022-01-18 15:49:46,426:INFO:master_model_container: 33
- 2022-01-18 15:49:46,427:INFO:display_container: 8
- 2022-01-18 15:49:46,428:INFO:LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
- class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
- importance_type='split', learning_rate=0.15, max_depth=-1,
- min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
- n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
- random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0)
- 2022-01-18 15:49:46,428:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:49:46,515:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:49:46,525:INFO:create_model_container: 33
- 2022-01-18 15:49:46,526:INFO:master_model_container: 33
- 2022-01-18 15:49:46,526:INFO:display_container: 8
- 2022-01-18 15:49:46,527:INFO:LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
- class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
- importance_type='split', learning_rate=0.15, max_depth=-1,
- min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
- n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
- random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0)
- 2022-01-18 15:49:46,527:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:49:46,612:INFO:Initializing tune_model()
- 2022-01-18 15:49:46,612:INFO:tune_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-18 15:49:46,612:INFO:Checking exceptions
- 2022-01-18 15:49:46,613:INFO:Preparing display monitor
- 2022-01-18 15:49:46,624:INFO:Copying training dataset
- 2022-01-18 15:49:46,625:INFO:Checking base model
- 2022-01-18 15:49:46,625:INFO:Base model : Gradient Boosting Classifier
- 2022-01-18 15:49:46,631:INFO:Declaring metric variables
- 2022-01-18 15:49:46,636:INFO:Defining Hyperparameters
- 2022-01-18 15:49:46,726:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:49:46,726:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:50:10,794:INFO:Hyperparameter search completed
- 2022-01-18 15:50:10,794:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:50:10,795:INFO:Initializing create_model()
- 2022-01-18 15:50:10,795:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, 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 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})
- 2022-01-18 15:50:10,795:INFO:Checking exceptions
- 2022-01-18 15:50:10,796:INFO:Importing libraries
- 2022-01-18 15:50:10,796:INFO:Copying training dataset
- 2022-01-18 15:50:10,798:INFO:Defining folds
- 2022-01-18 15:50:10,798:INFO:Declaring metric variables
- 2022-01-18 15:50:10,804:INFO:Importing untrained model
- 2022-01-18 15:50:10,804:INFO:Declaring custom model
- 2022-01-18 15:50:10,810:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:50:10,821:INFO:Starting cross validation
- 2022-01-18 15:50:10,821:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:50:28,561:INFO:Calculating mean and std
- 2022-01-18 15:50:28,562:INFO:Creating metrics dataframe
- 2022-01-18 15:50:28,569:INFO:Finalizing model
- 2022-01-18 15:50:30,563:INFO:Uploading results into container
- 2022-01-18 15:50:30,563:INFO:Uploading model into container now
- 2022-01-18 15:50:30,563:INFO:create_model_container: 34
- 2022-01-18 15:50:30,564:INFO:master_model_container: 34
- 2022-01-18 15:50:30,564:INFO:display_container: 9
- 2022-01-18 15:50:30,564:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.2, loss='deviance', max_depth=11,
- max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.1, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=60,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=0.75, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:50:30,564:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:50:30,648:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:50:30,658:INFO:create_model_container: 34
- 2022-01-18 15:50:30,658:INFO:master_model_container: 34
- 2022-01-18 15:50:30,659:INFO:display_container: 9
- 2022-01-18 15:50:30,659:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.2, loss='deviance', max_depth=11,
- max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.1, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=60,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=0.75, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:50:30,659:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:51:00,750:INFO:Initializing ensemble_model()
- 2022-01-18 15:51:00,751:INFO:ensemble_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- 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)
- 2022-01-18 15:51:00,751:INFO:Checking exceptions
- 2022-01-18 15:51:00,752:INFO:Preparing display monitor
- 2022-01-18 15:51:00,764:INFO:Importing libraries
- 2022-01-18 15:51:00,764:INFO:Copying training dataset
- 2022-01-18 15:51:00,766:INFO:Checking base model
- 2022-01-18 15:51:00,766:INFO:Base model : Random Forest Classifier
- 2022-01-18 15:51:00,776:INFO:Importing untrained ensembler
- 2022-01-18 15:51:00,777:INFO:Ensemble method set to Bagging
- 2022-01-18 15:51:00,777:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:51:00,778:INFO:Initializing create_model()
- 2022-01-18 15:51:00,778:INFO:create_model(estimator=BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:51:00,778:INFO:Checking exceptions
- 2022-01-18 15:51:00,779:INFO:Importing libraries
- 2022-01-18 15:51:00,779:INFO:Copying training dataset
- 2022-01-18 15:51:00,780:INFO:Defining folds
- 2022-01-18 15:51:00,780:INFO:Declaring metric variables
- 2022-01-18 15:51:00,785:INFO:Importing untrained model
- 2022-01-18 15:51:00,786:INFO:Declaring custom model
- 2022-01-18 15:51:00,791:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:51:00,804:INFO:Starting cross validation
- 2022-01-18 15:51:00,805:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:51:19,688:INFO:Calculating mean and std
- 2022-01-18 15:51:19,689:INFO:Creating metrics dataframe
- 2022-01-18 15:51:19,696:INFO:Finalizing model
- 2022-01-18 15:51:21,400:INFO:Uploading results into container
- 2022-01-18 15:51:21,400:INFO:Uploading model into container now
- 2022-01-18 15:51:21,400:INFO:create_model_container: 35
- 2022-01-18 15:51:21,400:INFO:master_model_container: 35
- 2022-01-18 15:51:21,401:INFO:display_container: 10
- 2022-01-18 15:51:21,401:INFO:BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:21,402:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:51:21,487:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:51:21,497:INFO:create_model_container: 35
- 2022-01-18 15:51:21,497:INFO:master_model_container: 35
- 2022-01-18 15:51:21,497:INFO:display_container: 10
- 2022-01-18 15:51:21,498:INFO:BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:21,498:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:51:21,585:INFO:Initializing ensemble_model()
- 2022-01-18 15:51:21,585:INFO:ensemble_model(estimator=ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- 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)
- 2022-01-18 15:51:21,585:INFO:Checking exceptions
- 2022-01-18 15:51:21,586:INFO:Preparing display monitor
- 2022-01-18 15:51:21,597:INFO:Importing libraries
- 2022-01-18 15:51:21,597:INFO:Copying training dataset
- 2022-01-18 15:51:21,598:INFO:Checking base model
- 2022-01-18 15:51:21,598:INFO:Base model : Extra Trees Classifier
- 2022-01-18 15:51:21,608:INFO:Importing untrained ensembler
- 2022-01-18 15:51:21,608:INFO:Ensemble method set to Bagging
- 2022-01-18 15:51:21,609:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:51:21,610:INFO:Initializing create_model()
- 2022-01-18 15:51:21,610:INFO:create_model(estimator=BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:51:21,610:INFO:Checking exceptions
- 2022-01-18 15:51:21,610:INFO:Importing libraries
- 2022-01-18 15:51:21,610:INFO:Copying training dataset
- 2022-01-18 15:51:21,611:INFO:Defining folds
- 2022-01-18 15:51:21,612:INFO:Declaring metric variables
- 2022-01-18 15:51:21,616:INFO:Importing untrained model
- 2022-01-18 15:51:21,617:INFO:Declaring custom model
- 2022-01-18 15:51:21,622:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:51:21,632:INFO:Starting cross validation
- 2022-01-18 15:51:21,633:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:51:40,344:INFO:Calculating mean and std
- 2022-01-18 15:51:40,345:INFO:Creating metrics dataframe
- 2022-01-18 15:51:40,352:INFO:Finalizing model
- 2022-01-18 15:51:42,023:INFO:Uploading results into container
- 2022-01-18 15:51:42,024:INFO:Uploading model into container now
- 2022-01-18 15:51:42,024:INFO:create_model_container: 36
- 2022-01-18 15:51:42,024:INFO:master_model_container: 36
- 2022-01-18 15:51:42,024:INFO:display_container: 11
- 2022-01-18 15:51:42,025:INFO:BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:42,025:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:51:42,108:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:51:42,117:INFO:create_model_container: 36
- 2022-01-18 15:51:42,118:INFO:master_model_container: 36
- 2022-01-18 15:51:42,118:INFO:display_container: 11
- 2022-01-18 15:51:42,119:INFO:BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:42,119:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:51:42,205:INFO:Initializing ensemble_model()
- 2022-01-18 15:51:42,205:INFO:ensemble_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=11, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=6, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-18 15:51:42,205:INFO:Checking exceptions
- 2022-01-18 15:51:42,206:INFO:Preparing display monitor
- 2022-01-18 15:51:42,217:INFO:Importing libraries
- 2022-01-18 15:51:42,217:INFO:Copying training dataset
- 2022-01-18 15:51:42,218:INFO:Checking base model
- 2022-01-18 15:51:42,218:INFO:Base model : Decision Tree Classifier
- 2022-01-18 15:51:42,228:INFO:Importing untrained ensembler
- 2022-01-18 15:51:42,228:INFO:Ensemble method set to Bagging
- 2022-01-18 15:51:42,228:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:51:42,229:INFO:Initializing create_model()
- 2022-01-18 15:51:42,229:INFO:create_model(estimator=BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.0005,
- min_impurity_split=None,
- min_samples_leaf=6,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- presort='deprecated',
- random_state=7473,
- splitter='best'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:51:42,229:INFO:Checking exceptions
- 2022-01-18 15:51:42,229:INFO:Importing libraries
- 2022-01-18 15:51:42,230:INFO:Copying training dataset
- 2022-01-18 15:51:42,231:INFO:Defining folds
- 2022-01-18 15:51:42,231:INFO:Declaring metric variables
- 2022-01-18 15:51:42,236:INFO:Importing untrained model
- 2022-01-18 15:51:42,236:INFO:Declaring custom model
- 2022-01-18 15:51:42,241:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:51:42,252:INFO:Starting cross validation
- 2022-01-18 15:51:42,252:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:51:45,143:INFO:Calculating mean and std
- 2022-01-18 15:51:45,143:INFO:Creating metrics dataframe
- 2022-01-18 15:51:45,150:INFO:Finalizing model
- 2022-01-18 15:51:45,443:INFO:Uploading results into container
- 2022-01-18 15:51:45,443:INFO:Uploading model into container now
- 2022-01-18 15:51:45,443:INFO:create_model_container: 37
- 2022-01-18 15:51:45,443:INFO:master_model_container: 37
- 2022-01-18 15:51:45,444:INFO:display_container: 12
- 2022-01-18 15:51:45,444:INFO:BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.0005,
- min_impurity_split=None,
- min_samples_leaf=6,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- presort='deprecated',
- random_state=7473,
- splitter='best'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:45,445:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:51:45,528:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:51:45,539:INFO:create_model_container: 37
- 2022-01-18 15:51:45,539:INFO:master_model_container: 37
- 2022-01-18 15:51:45,539:INFO:display_container: 12
- 2022-01-18 15:51:45,540:INFO:BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.0005,
- min_impurity_split=None,
- min_samples_leaf=6,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- presort='deprecated',
- random_state=7473,
- splitter='best'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:45,540:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:51:45,624:INFO:Initializing ensemble_model()
- 2022-01-18 15:51:45,625:INFO:ensemble_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
- metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
- 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)
- 2022-01-18 15:51:45,625:INFO:Checking exceptions
- 2022-01-18 15:51:45,626:INFO:Preparing display monitor
- 2022-01-18 15:51:45,636:INFO:Importing libraries
- 2022-01-18 15:51:45,637:INFO:Copying training dataset
- 2022-01-18 15:51:45,638:INFO:Checking base model
- 2022-01-18 15:51:45,638:INFO:Base model : K Neighbors Classifier
- 2022-01-18 15:51:45,647:INFO:Importing untrained ensembler
- 2022-01-18 15:51:45,648:INFO:Ensemble method set to Bagging
- 2022-01-18 15:51:45,648:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:51:45,649:INFO:Initializing create_model()
- 2022-01-18 15:51:45,649:INFO:create_model(estimator=BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
- leaf_size=30,
- metric='manhattan',
- metric_params=None,
- n_jobs=-1, n_neighbors=32,
- p=2, weights='distance'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:51:45,649:INFO:Checking exceptions
- 2022-01-18 15:51:45,649:INFO:Importing libraries
- 2022-01-18 15:51:45,650:INFO:Copying training dataset
- 2022-01-18 15:51:45,651:INFO:Defining folds
- 2022-01-18 15:51:45,651:INFO:Declaring metric variables
- 2022-01-18 15:51:45,656:INFO:Importing untrained model
- 2022-01-18 15:51:45,656:INFO:Declaring custom model
- 2022-01-18 15:51:45,662:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:51:45,673:INFO:Starting cross validation
- 2022-01-18 15:51:45,673:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:54:41,160:INFO:Calculating mean and std
- 2022-01-18 15:54:41,161:INFO:Creating metrics dataframe
- 2022-01-18 15:54:41,168:INFO:Finalizing model
- 2022-01-18 15:54:55,488:INFO:Uploading results into container
- 2022-01-18 15:54:55,489:INFO:Uploading model into container now
- 2022-01-18 15:54:55,489:INFO:create_model_container: 38
- 2022-01-18 15:54:55,489:INFO:master_model_container: 38
- 2022-01-18 15:54:55,489:INFO:display_container: 13
- 2022-01-18 15:54:55,490:INFO:BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
- leaf_size=30,
- metric='manhattan',
- metric_params=None,
- n_jobs=-1, n_neighbors=32,
- p=2, weights='distance'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:54:55,490:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:54:55,575:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:54:55,585:INFO:create_model_container: 38
- 2022-01-18 15:54:55,585:INFO:master_model_container: 38
- 2022-01-18 15:54:55,586:INFO:display_container: 13
- 2022-01-18 15:54:55,586:INFO:BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
- leaf_size=30,
- metric='manhattan',
- metric_params=None,
- n_jobs=-1, n_neighbors=32,
- p=2, weights='distance'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:54:55,586:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:54:55,680:INFO:Initializing ensemble_model()
- 2022-01-18 15:54:55,681:INFO:ensemble_model(estimator=LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
- class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
- importance_type='split', learning_rate=0.15, max_depth=-1,
- min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
- n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
- random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- 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)
- 2022-01-18 15:54:55,681:INFO:Checking exceptions
- 2022-01-18 15:54:55,682:INFO:Preparing display monitor
- 2022-01-18 15:54:55,692:INFO:Importing libraries
- 2022-01-18 15:54:55,692:INFO:Copying training dataset
- 2022-01-18 15:54:55,694:INFO:Checking base model
- 2022-01-18 15:54:55,694:INFO:Base model : Light Gradient Boosting Machine
- 2022-01-18 15:54:55,704:INFO:Importing untrained ensembler
- 2022-01-18 15:54:55,704:INFO:Ensemble method set to Bagging
- 2022-01-18 15:54:55,705:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:54:55,706:INFO:Initializing create_model()
- 2022-01-18 15:54:55,706:INFO:create_model(estimator=BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
- bagging_freq=3,
- boosting_type='gbdt',
- class_weight=None,
- colsample_bytree=1.0,
- feature_fraction=0.9,
- importance_type='split',
- learning_rate=0.15,
- max_depth=-1,
- min_child_samples=61,
- min_child_weight=0.001,
- min_split_gain=0.5,
- n_estimators=120, n_jobs=-1,
- num_leaves=90, objective=None,
- random_state=7473,
- reg_alpha=0.4,
- reg_lambda=0.0005,
- silent='warn', subsample=1.0,
- subsample_for_bin=200000,
- subsample_freq=0),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:54:55,706:INFO:Checking exceptions
- 2022-01-18 15:54:55,707:INFO:Importing libraries
- 2022-01-18 15:54:55,707:INFO:Copying training dataset
- 2022-01-18 15:54:55,708:INFO:Defining folds
- 2022-01-18 15:54:55,708:INFO:Declaring metric variables
- 2022-01-18 15:54:55,713:INFO:Importing untrained model
- 2022-01-18 15:54:55,713:INFO:Declaring custom model
- 2022-01-18 15:54:55,719:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:54:55,729:INFO:Starting cross validation
- 2022-01-18 15:54:55,730:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:55:56,691:INFO:Calculating mean and std
- 2022-01-18 15:55:56,692:INFO:Creating metrics dataframe
- 2022-01-18 15:55:56,699:INFO:Finalizing model
- 2022-01-18 15:56:03,239:INFO:Uploading results into container
- 2022-01-18 15:56:03,239:INFO:Uploading model into container now
- 2022-01-18 15:56:03,240:INFO:create_model_container: 39
- 2022-01-18 15:56:03,240:INFO:master_model_container: 39
- 2022-01-18 15:56:03,240:INFO:display_container: 14
- 2022-01-18 15:56:03,241:INFO:BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
- bagging_freq=3,
- boosting_type='gbdt',
- class_weight=None,
- colsample_bytree=1.0,
- feature_fraction=0.9,
- importance_type='split',
- learning_rate=0.15,
- max_depth=-1,
- min_child_samples=61,
- min_child_weight=0.001,
- min_split_gain=0.5,
- n_estimators=120, n_jobs=-1,
- num_leaves=90, objective=None,
- random_state=7473,
- reg_alpha=0.4,
- reg_lambda=0.0005,
- silent='warn', subsample=1.0,
- subsample_for_bin=200000,
- subsample_freq=0),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:56:03,241:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:56:03,320:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:56:03,330:INFO:create_model_container: 39
- 2022-01-18 15:56:03,330:INFO:master_model_container: 39
- 2022-01-18 15:56:03,330:INFO:display_container: 14
- 2022-01-18 15:56:03,331:INFO:BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
- bagging_freq=3,
- boosting_type='gbdt',
- class_weight=None,
- colsample_bytree=1.0,
- feature_fraction=0.9,
- importance_type='split',
- learning_rate=0.15,
- max_depth=-1,
- min_child_samples=61,
- min_child_weight=0.001,
- min_split_gain=0.5,
- n_estimators=120, n_jobs=-1,
- num_leaves=90, objective=None,
- random_state=7473,
- reg_alpha=0.4,
- reg_lambda=0.0005,
- silent='warn', subsample=1.0,
- subsample_for_bin=200000,
- subsample_freq=0),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:56:03,331:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:56:03,430:INFO:Initializing ensemble_model()
- 2022-01-18 15:56:03,430:INFO:ensemble_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.2, loss='deviance', max_depth=11,
- max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.1, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=60,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=0.75, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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)
- 2022-01-18 15:56:03,431:INFO:Checking exceptions
- 2022-01-18 15:56:03,432:INFO:Preparing display monitor
- 2022-01-18 15:56:03,442:INFO:Importing libraries
- 2022-01-18 15:56:03,443:INFO:Copying training dataset
- 2022-01-18 15:56:03,444:INFO:Checking base model
- 2022-01-18 15:56:03,444:INFO:Base model : Gradient Boosting Classifier
- 2022-01-18 15:56:03,454:INFO:Importing untrained ensembler
- 2022-01-18 15:56:03,454:INFO:Ensemble method set to Bagging
- 2022-01-18 15:56:03,454:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:56:03,455:INFO:Initializing create_model()
- 2022-01-18 15:56:03,456:INFO:create_model(estimator=BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
- criterion='friedman_mse',
- init=None,
- learning_rate=0.2,
- loss='deviance',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.1,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=60,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=0.75,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:56:03,456:INFO:Checking exceptions
- 2022-01-18 15:56:03,456:INFO:Importing libraries
- 2022-01-18 15:56:03,456:INFO:Copying training dataset
- 2022-01-18 15:56:03,457:INFO:Defining folds
- 2022-01-18 15:56:03,458:INFO:Declaring metric variables
- 2022-01-18 15:56:03,463:INFO:Importing untrained model
- 2022-01-18 15:56:03,463:INFO:Declaring custom model
- 2022-01-18 15:56:03,468:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:56:03,479:INFO:Starting cross validation
- 2022-01-18 15:56:03,479:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:58:16,629:INFO:Calculating mean and std
- 2022-01-18 15:58:16,630:INFO:Creating metrics dataframe
- 2022-01-18 15:58:16,637:INFO:Finalizing model
- 2022-01-18 15:58:31,795:INFO:Uploading results into container
- 2022-01-18 15:58:31,796:INFO:Uploading model into container now
- 2022-01-18 15:58:31,796:INFO:create_model_container: 40
- 2022-01-18 15:58:31,796:INFO:master_model_container: 40
- 2022-01-18 15:58:31,796:INFO:display_container: 15
- 2022-01-18 15:58:31,797:INFO:BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
- criterion='friedman_mse',
- init=None,
- learning_rate=0.2,
- loss='deviance',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.1,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=60,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=0.75,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:58:31,797:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:58:31,876:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:58:31,885:INFO:create_model_container: 40
- 2022-01-18 15:58:31,886:INFO:master_model_container: 40
- 2022-01-18 15:58:31,886:INFO:display_container: 15
- 2022-01-18 15:58:31,887:INFO:BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
- criterion='friedman_mse',
- init=None,
- learning_rate=0.2,
- loss='deviance',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.1,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=60,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=0.75,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:58:31,887:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:58:31,977:INFO:Initializing blend_models()
- 2022-01-18 15:58:31,977:INFO:blend_models(estimator_list=[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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)
- 2022-01-18 15:58:31,977:INFO:Checking exceptions
- 2022-01-18 15:58:31,978:INFO:Preparing display monitor
- 2022-01-18 15:58:31,988:INFO:Importing libraries
- 2022-01-18 15:58:31,989:INFO:Copying training dataset
- 2022-01-18 15:58:31,995:INFO:Getting model names
- 2022-01-18 15:58:32,000:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:58:32,004:INFO:Initializing create_model()
- 2022-01-18 15:58:32,005:INFO:create_model(estimator=VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- 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={})
- 2022-01-18 15:58:32,005:INFO:Checking exceptions
- 2022-01-18 15:58:32,005:INFO:Importing libraries
- 2022-01-18 15:58:32,005:INFO:Copying training dataset
- 2022-01-18 15:58:32,007:INFO:Defining folds
- 2022-01-18 15:58:32,007:INFO:Declaring metric variables
- 2022-01-18 15:58:32,012:INFO:Importing untrained model
- 2022-01-18 15:58:32,013:INFO:Declaring custom model
- 2022-01-18 15:58:32,020:INFO:Voting Classifier Imported succesfully
- 2022-01-18 15:58:32,031:INFO:Starting cross validation
- 2022-01-18 15:58:32,031:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:59:19,663:INFO:Calculating mean and std
- 2022-01-18 15:59:19,664:INFO:Creating metrics dataframe
- 2022-01-18 15:59:19,671:INFO:Finalizing model
- 2022-01-18 15:59:24,372:INFO:Uploading results into container
- 2022-01-18 15:59:24,373:INFO:Uploading model into container now
- 2022-01-18 15:59:24,373:INFO:create_model_container: 41
- 2022-01-18 15:59:24,373:INFO:master_model_container: 41
- 2022-01-18 15:59:24,373:INFO:display_container: 16
- 2022-01-18 15:59:24,377:INFO:VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- weights=None)
- 2022-01-18 15:59:24,378:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:59:24,458:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:59:24,468:INFO:create_model_container: 41
- 2022-01-18 15:59:24,468:INFO:master_model_container: 41
- 2022-01-18 15:59:24,468:INFO:display_container: 16
- 2022-01-18 15:59:24,473:INFO:VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- weights=None)
- 2022-01-18 15:59:24,473:INFO:blend_models() succesfully completed......................................
- 2022-01-18 15:59:24,557:INFO:Initializing automl()
- 2022-01-18 15:59:24,557:INFO:automl(optimize=F1, use_holdout=False)
- 2022-01-18 15:59:24,558:INFO:Model Selection Basis : CV Results on Training set
- 2022-01-18 15:59:24,565:INFO:Initializing create_model()
- 2022-01-18 15:59:24,565:INFO:create_model(estimator=VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- 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={})
- 2022-01-18 15:59:24,566:INFO:Checking exceptions
- 2022-01-18 15:59:24,566:INFO:Importing libraries
- 2022-01-18 15:59:24,566:INFO:Copying training dataset
- 2022-01-18 15:59:24,567:INFO:Defining folds
- 2022-01-18 15:59:24,567:INFO:Declaring metric variables
- 2022-01-18 15:59:24,567:INFO:Importing untrained model
- 2022-01-18 15:59:24,567:INFO:Declaring custom model
- 2022-01-18 15:59:24,569:INFO:Voting Classifier Imported succesfully
- 2022-01-18 15:59:24,569:INFO:Cross validation set to False
- 2022-01-18 15:59:24,570:INFO:Fitting Model
- 2022-01-18 15:59:29,312:INFO:VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- weights=None)
- 2022-01-18 15:59:29,312:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:59:29,395:INFO:VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- weights=None)
- 2022-01-18 15:59:29,395:INFO:automl() succesfully completed......................................
- 2022-01-24 17:00:57,351:INFO:PyCaret Supervised Module
- 2022-01-24 17:00:57,352:INFO:ML Usecase: classification
- 2022-01-24 17:00:57,352:INFO:version 2.3.6
- 2022-01-24 17:00:57,352:INFO:Initializing setup()
- 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)
- 2022-01-24 17:00:57,353:INFO:Checking environment
- 2022-01-24 17:00:57,353:INFO:python_version: 3.8.8
- 2022-01-24 17:00:57,353:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-24 17:00:57,353:INFO:machine: x86_64
- 2022-01-24 17:00:57,353:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-24 17:00:57,354:INFO:Physical Core: 16
- 2022-01-24 17:00:57,354:INFO:Logical Core: 32
- 2022-01-24 17:00:57,354:INFO:Checking libraries
- 2022-01-24 17:00:57,355:INFO:pd==1.2.4
- 2022-01-24 17:00:57,355:INFO:numpy==1.19.5
- 2022-01-24 17:00:57,355:INFO:sklearn==0.23.2
- 2022-01-24 17:00:57,355:INFO:lightgbm==3.3.2
- 2022-01-24 17:00:57,356:WARNING:catboost not found
- 2022-01-24 17:00:57,356:WARNING:xgboost not found
- 2022-01-24 17:00:57,356:INFO:mlflow==1.22.0
- 2022-01-24 17:00:57,356:INFO:Checking Exceptions
- 2022-01-24 17:00:57,357:INFO:Declaring global variables
- 2022-01-24 17:00:57,357:INFO:USI: 5f8a
- 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'}
- 2022-01-24 17:00:57,357:INFO:Preparing display monitor
- 2022-01-24 17:00:57,357:INFO:Preparing display monitor
- 2022-01-24 17:00:57,365:INFO:Importing libraries
- 2022-01-24 17:00:57,366:INFO:Copying data for preprocessing
- 2022-01-24 17:00:57,372:INFO:Declaring preprocessing parameters
- 2022-01-24 17:00:57,372:WARNING:cuML not found
- 2022-01-24 17:00:57,372:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-24 17:00:57,375:INFO:Creating preprocessing pipeline
- 2022-01-24 17:00:57,404:INFO:Preprocessing pipeline created successfully
- 2022-01-24 17:00:57,404:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-24 17:00:57,405:INFO:Creating global containers
- 2022-01-24 17:00:57,405:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-24 17:01:00,466:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-24 17:01:00,493:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-24 17:01:00,494:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-24 17:01:00,495:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-24 17:01:00,509:WARNING:Couldn't import cuml.linear_model
- 2022-01-24 17:01:00,512:WARNING:Couldn't import cuml.ensemble
- 2022-01-24 17:01:00,513:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-24 17:01:00,516:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-24 17:01:00,517:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-24 17:01:00,551:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-24 17:01:00,552:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-24 17:01:00,553:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-24 17:01:00,567:WARNING:Couldn't import cuml.linear_model
- 2022-01-24 17:01:00,571:WARNING:Couldn't import cuml.ensemble
- 2022-01-24 17:01:00,572:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-24 17:01:00,576:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-24 17:01:00,577:INFO:Creating grid variables
- 2022-01-24 17:01:00,590:INFO:create_model_container: 0
- 2022-01-24 17:01:00,590:INFO:master_model_container: 0
- 2022-01-24 17:01:00,591:INFO:display_container: 1
- 2022-01-24 17:01:00,593:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-24 17:01:00,594:INFO:setup() succesfully completed......................................
- 2022-01-24 17:08:20,805:INFO:Initializing compare_models()
- 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)
- 2022-01-24 17:08:20,806:INFO:Checking exceptions
- 2022-01-24 17:08:20,807:INFO:Preparing display monitor
- 2022-01-24 17:08:20,807:INFO:Preparing display monitor
- 2022-01-24 17:08:20,823:INFO:Initializing Logistic Regression
- 2022-01-24 17:08:20,823:INFO:Total runtime is 6.004174550374349e-06 minutes
- 2022-01-24 17:08:20,829:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:20,829:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:20,829:INFO:Checking exceptions
- 2022-01-24 17:08:20,829:INFO:Importing libraries
- 2022-01-24 17:08:20,830:INFO:Copying training dataset
- 2022-01-24 17:08:20,832:INFO:Defining folds
- 2022-01-24 17:08:20,832:INFO:Declaring metric variables
- 2022-01-24 17:08:20,837:INFO:Importing untrained model
- 2022-01-24 17:08:20,842:INFO:Logistic Regression Imported succesfully
- 2022-01-24 17:08:20,852:INFO:Starting cross validation
- 2022-01-24 17:08:20,853:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:28,104:INFO:Calculating mean and std
- 2022-01-24 17:08:28,107:INFO:Creating metrics dataframe
- 2022-01-24 17:08:28,115:INFO:Uploading results into container
- 2022-01-24 17:08:28,116:INFO:Uploading model into container now
- 2022-01-24 17:08:28,117:INFO:create_model_container: 1
- 2022-01-24 17:08:28,117:INFO:master_model_container: 1
- 2022-01-24 17:08:28,117:INFO:display_container: 2
- 2022-01-24 17:08:28,118:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=6174, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-24 17:08:28,118:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:28,216:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:28,216:INFO:Creating metrics dataframe
- 2022-01-24 17:08:28,225:INFO:Initializing K Neighbors Classifier
- 2022-01-24 17:08:28,225:INFO:Total runtime is 0.12337379852930705 minutes
- 2022-01-24 17:08:28,231:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:28,231:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:28,231:INFO:Checking exceptions
- 2022-01-24 17:08:28,232:INFO:Importing libraries
- 2022-01-24 17:08:28,232:INFO:Copying training dataset
- 2022-01-24 17:08:28,233:INFO:Defining folds
- 2022-01-24 17:08:28,233:INFO:Declaring metric variables
- 2022-01-24 17:08:28,238:INFO:Importing untrained model
- 2022-01-24 17:08:28,242:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-24 17:08:28,252:INFO:Starting cross validation
- 2022-01-24 17:08:28,253:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:46,894:INFO:Calculating mean and std
- 2022-01-24 17:08:46,895:INFO:Creating metrics dataframe
- 2022-01-24 17:08:46,898:INFO:Uploading results into container
- 2022-01-24 17:08:46,898:INFO:Uploading model into container now
- 2022-01-24 17:08:46,898:INFO:create_model_container: 2
- 2022-01-24 17:08:46,898:INFO:master_model_container: 2
- 2022-01-24 17:08:46,898:INFO:display_container: 2
- 2022-01-24 17:08:46,899:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-24 17:08:46,899:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:46,995:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:46,996:INFO:Creating metrics dataframe
- 2022-01-24 17:08:47,006:INFO:Initializing Naive Bayes
- 2022-01-24 17:08:47,007:INFO:Total runtime is 0.43639185825983684 minutes
- 2022-01-24 17:08:47,012:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:47,013:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:47,013:INFO:Checking exceptions
- 2022-01-24 17:08:47,013:INFO:Importing libraries
- 2022-01-24 17:08:47,013:INFO:Copying training dataset
- 2022-01-24 17:08:47,016:INFO:Defining folds
- 2022-01-24 17:08:47,016:INFO:Declaring metric variables
- 2022-01-24 17:08:47,022:INFO:Importing untrained model
- 2022-01-24 17:08:47,026:INFO:Naive Bayes Imported succesfully
- 2022-01-24 17:08:47,038:INFO:Starting cross validation
- 2022-01-24 17:08:47,038:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:47,286:INFO:Calculating mean and std
- 2022-01-24 17:08:47,287:INFO:Creating metrics dataframe
- 2022-01-24 17:08:47,290:INFO:Uploading results into container
- 2022-01-24 17:08:47,290:INFO:Uploading model into container now
- 2022-01-24 17:08:47,290:INFO:create_model_container: 3
- 2022-01-24 17:08:47,290:INFO:master_model_container: 3
- 2022-01-24 17:08:47,291:INFO:display_container: 2
- 2022-01-24 17:08:47,291:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-24 17:08:47,291:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:47,374:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:47,374:INFO:Creating metrics dataframe
- 2022-01-24 17:08:47,385:INFO:Initializing Decision Tree Classifier
- 2022-01-24 17:08:47,385:INFO:Total runtime is 0.442702062924703 minutes
- 2022-01-24 17:08:47,390:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:47,391:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:47,391:INFO:Checking exceptions
- 2022-01-24 17:08:47,391:INFO:Importing libraries
- 2022-01-24 17:08:47,391:INFO:Copying training dataset
- 2022-01-24 17:08:47,393:INFO:Defining folds
- 2022-01-24 17:08:47,393:INFO:Declaring metric variables
- 2022-01-24 17:08:47,397:INFO:Importing untrained model
- 2022-01-24 17:08:47,403:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-24 17:08:47,413:INFO:Starting cross validation
- 2022-01-24 17:08:47,414:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:48,371:INFO:Calculating mean and std
- 2022-01-24 17:08:48,372:INFO:Creating metrics dataframe
- 2022-01-24 17:08:48,374:INFO:Uploading results into container
- 2022-01-24 17:08:48,374:INFO:Uploading model into container now
- 2022-01-24 17:08:48,375:INFO:create_model_container: 4
- 2022-01-24 17:08:48,375:INFO:master_model_container: 4
- 2022-01-24 17:08:48,375:INFO:display_container: 2
- 2022-01-24 17:08:48,375:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6174, splitter='best')
- 2022-01-24 17:08:48,376:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:48,452:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:48,452:INFO:Creating metrics dataframe
- 2022-01-24 17:08:48,463:INFO:Initializing SVM - Linear Kernel
- 2022-01-24 17:08:48,464:INFO:Total runtime is 0.46067760785420736 minutes
- 2022-01-24 17:08:48,469:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:48,469:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:48,470:INFO:Checking exceptions
- 2022-01-24 17:08:48,470:INFO:Importing libraries
- 2022-01-24 17:08:48,470:INFO:Copying training dataset
- 2022-01-24 17:08:48,471:INFO:Defining folds
- 2022-01-24 17:08:48,471:INFO:Declaring metric variables
- 2022-01-24 17:08:48,476:INFO:Importing untrained model
- 2022-01-24 17:08:48,481:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-24 17:08:48,491:INFO:Starting cross validation
- 2022-01-24 17:08:48,491:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:49,731:INFO:Calculating mean and std
- 2022-01-24 17:08:49,732:INFO:Creating metrics dataframe
- 2022-01-24 17:08:49,736:INFO:Uploading results into container
- 2022-01-24 17:08:49,737:INFO:Uploading model into container now
- 2022-01-24 17:08:49,738:INFO:create_model_container: 5
- 2022-01-24 17:08:49,738:INFO:master_model_container: 5
- 2022-01-24 17:08:49,738:INFO:display_container: 2
- 2022-01-24 17:08:49,739:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=6174, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-24 17:08:49,739:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:49,847:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:49,847:INFO:Creating metrics dataframe
- 2022-01-24 17:08:49,858:INFO:Initializing Ridge Classifier
- 2022-01-24 17:08:49,858:INFO:Total runtime is 0.48392358620961506 minutes
- 2022-01-24 17:08:49,864:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:49,864:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:49,865:INFO:Checking exceptions
- 2022-01-24 17:08:49,865:INFO:Importing libraries
- 2022-01-24 17:08:49,865:INFO:Copying training dataset
- 2022-01-24 17:08:49,866:INFO:Defining folds
- 2022-01-24 17:08:49,866:INFO:Declaring metric variables
- 2022-01-24 17:08:49,871:INFO:Importing untrained model
- 2022-01-24 17:08:49,877:INFO:Ridge Classifier Imported succesfully
- 2022-01-24 17:08:49,887:INFO:Starting cross validation
- 2022-01-24 17:08:49,887:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:50,464:INFO:Calculating mean and std
- 2022-01-24 17:08:50,465:INFO:Creating metrics dataframe
- 2022-01-24 17:08:50,475:INFO:Uploading results into container
- 2022-01-24 17:08:50,475:INFO:Uploading model into container now
- 2022-01-24 17:08:50,475:INFO:create_model_container: 6
- 2022-01-24 17:08:50,475:INFO:master_model_container: 6
- 2022-01-24 17:08:50,475:INFO:display_container: 2
- 2022-01-24 17:08:50,476:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=6174,
- solver='auto', tol=0.001)
- 2022-01-24 17:08:50,476:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:50,576:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:50,576:INFO:Creating metrics dataframe
- 2022-01-24 17:08:50,588:INFO:Initializing Random Forest Classifier
- 2022-01-24 17:08:50,588:INFO:Total runtime is 0.49608110984166465 minutes
- 2022-01-24 17:08:50,593:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:50,593:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:50,594:INFO:Checking exceptions
- 2022-01-24 17:08:50,594:INFO:Importing libraries
- 2022-01-24 17:08:50,594:INFO:Copying training dataset
- 2022-01-24 17:08:50,595:INFO:Defining folds
- 2022-01-24 17:08:50,595:INFO:Declaring metric variables
- 2022-01-24 17:08:50,600:INFO:Importing untrained model
- 2022-01-24 17:08:50,605:INFO:Random Forest Classifier Imported succesfully
- 2022-01-24 17:08:50,615:INFO:Starting cross validation
- 2022-01-24 17:08:50,616:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:57,023:INFO:Calculating mean and std
- 2022-01-24 17:08:57,024:INFO:Creating metrics dataframe
- 2022-01-24 17:08:57,027:INFO:Uploading results into container
- 2022-01-24 17:08:57,027:INFO:Uploading model into container now
- 2022-01-24 17:08:57,027:INFO:create_model_container: 7
- 2022-01-24 17:08:57,027:INFO:master_model_container: 7
- 2022-01-24 17:08:57,027:INFO:display_container: 2
- 2022-01-24 17:08:57,028:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:08:57,028:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:57,113:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:57,113:INFO:Creating metrics dataframe
- 2022-01-24 17:08:57,125:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-24 17:08:57,125:INFO:Total runtime is 0.6050358931223552 minutes
- 2022-01-24 17:08:57,131:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:57,131:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:57,131:INFO:Checking exceptions
- 2022-01-24 17:08:57,131:INFO:Importing libraries
- 2022-01-24 17:08:57,132:INFO:Copying training dataset
- 2022-01-24 17:08:57,133:INFO:Defining folds
- 2022-01-24 17:08:57,133:INFO:Declaring metric variables
- 2022-01-24 17:08:57,137:INFO:Importing untrained model
- 2022-01-24 17:08:57,142:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-24 17:08:57,153:INFO:Starting cross validation
- 2022-01-24 17:08:57,153:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:58,319:INFO:Calculating mean and std
- 2022-01-24 17:08:58,320:INFO:Creating metrics dataframe
- 2022-01-24 17:08:58,324:INFO:Uploading results into container
- 2022-01-24 17:08:58,328:INFO:Uploading model into container now
- 2022-01-24 17:08:58,329:INFO:create_model_container: 8
- 2022-01-24 17:08:58,330:INFO:master_model_container: 8
- 2022-01-24 17:08:58,331:INFO:display_container: 2
- 2022-01-24 17:08:58,331:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-24 17:08:58,331:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:58,427:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:58,427:INFO:Creating metrics dataframe
- 2022-01-24 17:08:58,439:INFO:Initializing Ada Boost Classifier
- 2022-01-24 17:08:58,439:INFO:Total runtime is 0.6269395073254903 minutes
- 2022-01-24 17:08:58,445:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:58,445:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:58,446:INFO:Checking exceptions
- 2022-01-24 17:08:58,446:INFO:Importing libraries
- 2022-01-24 17:08:58,446:INFO:Copying training dataset
- 2022-01-24 17:08:58,447:INFO:Defining folds
- 2022-01-24 17:08:58,447:INFO:Declaring metric variables
- 2022-01-24 17:08:58,453:INFO:Importing untrained model
- 2022-01-24 17:08:58,458:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-24 17:08:58,469:INFO:Starting cross validation
- 2022-01-24 17:08:58,470:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:05,168:INFO:Calculating mean and std
- 2022-01-24 17:09:05,169:INFO:Creating metrics dataframe
- 2022-01-24 17:09:05,171:INFO:Uploading results into container
- 2022-01-24 17:09:05,171:INFO:Uploading model into container now
- 2022-01-24 17:09:05,171:INFO:create_model_container: 9
- 2022-01-24 17:09:05,172:INFO:master_model_container: 9
- 2022-01-24 17:09:05,172:INFO:display_container: 2
- 2022-01-24 17:09:05,172:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=6174)
- 2022-01-24 17:09:05,172:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:05,261:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:05,262:INFO:Creating metrics dataframe
- 2022-01-24 17:09:05,274:INFO:Initializing Gradient Boosting Classifier
- 2022-01-24 17:09:05,274:INFO:Total runtime is 0.7408567150433858 minutes
- 2022-01-24 17:09:05,280:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:05,280:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:05,280:INFO:Checking exceptions
- 2022-01-24 17:09:05,280:INFO:Importing libraries
- 2022-01-24 17:09:05,281:INFO:Copying training dataset
- 2022-01-24 17:09:05,282:INFO:Defining folds
- 2022-01-24 17:09:05,282:INFO:Declaring metric variables
- 2022-01-24 17:09:05,287:INFO:Importing untrained model
- 2022-01-24 17:09:05,292:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-24 17:09:05,302:INFO:Starting cross validation
- 2022-01-24 17:09:05,302:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:27,312:INFO:Calculating mean and std
- 2022-01-24 17:09:27,313:INFO:Creating metrics dataframe
- 2022-01-24 17:09:27,315:INFO:Uploading results into container
- 2022-01-24 17:09:27,315:INFO:Uploading model into container now
- 2022-01-24 17:09:27,316:INFO:create_model_container: 10
- 2022-01-24 17:09:27,316:INFO:master_model_container: 10
- 2022-01-24 17:09:27,316:INFO:display_container: 2
- 2022-01-24 17:09:27,316:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6174, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:27,316:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:27,395:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:27,396:INFO:Creating metrics dataframe
- 2022-01-24 17:09:27,409:INFO:Initializing Linear Discriminant Analysis
- 2022-01-24 17:09:27,409:INFO:Total runtime is 1.1097664793332418 minutes
- 2022-01-24 17:09:27,415:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:27,415:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:27,415:INFO:Checking exceptions
- 2022-01-24 17:09:27,415:INFO:Importing libraries
- 2022-01-24 17:09:27,416:INFO:Copying training dataset
- 2022-01-24 17:09:27,417:INFO:Defining folds
- 2022-01-24 17:09:27,417:INFO:Declaring metric variables
- 2022-01-24 17:09:27,422:INFO:Importing untrained model
- 2022-01-24 17:09:27,427:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-24 17:09:27,437:INFO:Starting cross validation
- 2022-01-24 17:09:27,437:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:29,313:INFO:Calculating mean and std
- 2022-01-24 17:09:29,316:INFO:Creating metrics dataframe
- 2022-01-24 17:09:29,320:INFO:Uploading results into container
- 2022-01-24 17:09:29,324:INFO:Uploading model into container now
- 2022-01-24 17:09:29,325:INFO:create_model_container: 11
- 2022-01-24 17:09:29,325:INFO:master_model_container: 11
- 2022-01-24 17:09:29,329:INFO:display_container: 2
- 2022-01-24 17:09:29,329:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-24 17:09:29,330:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:29,428:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:29,429:INFO:Creating metrics dataframe
- 2022-01-24 17:09:29,441:INFO:Initializing Extra Trees Classifier
- 2022-01-24 17:09:29,441:INFO:Total runtime is 1.1436361789703369 minutes
- 2022-01-24 17:09:29,447:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:29,447:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:29,447:INFO:Checking exceptions
- 2022-01-24 17:09:29,448:INFO:Importing libraries
- 2022-01-24 17:09:29,448:INFO:Copying training dataset
- 2022-01-24 17:09:29,449:INFO:Defining folds
- 2022-01-24 17:09:29,449:INFO:Declaring metric variables
- 2022-01-24 17:09:29,454:INFO:Importing untrained model
- 2022-01-24 17:09:29,459:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-24 17:09:29,469:INFO:Starting cross validation
- 2022-01-24 17:09:29,469:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:36,068:INFO:Calculating mean and std
- 2022-01-24 17:09:36,069:INFO:Creating metrics dataframe
- 2022-01-24 17:09:36,071:INFO:Uploading results into container
- 2022-01-24 17:09:36,071:INFO:Uploading model into container now
- 2022-01-24 17:09:36,071:INFO:create_model_container: 12
- 2022-01-24 17:09:36,072:INFO:master_model_container: 12
- 2022-01-24 17:09:36,072:INFO:display_container: 2
- 2022-01-24 17:09:36,072:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:36,072:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:36,158:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:36,158:INFO:Creating metrics dataframe
- 2022-01-24 17:09:36,171:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-24 17:09:36,171:INFO:Total runtime is 1.2558028976122537 minutes
- 2022-01-24 17:09:36,176:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:36,177:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:36,177:INFO:Checking exceptions
- 2022-01-24 17:09:36,177:INFO:Importing libraries
- 2022-01-24 17:09:36,177:INFO:Copying training dataset
- 2022-01-24 17:09:36,179:INFO:Defining folds
- 2022-01-24 17:09:36,179:INFO:Declaring metric variables
- 2022-01-24 17:09:36,184:INFO:Importing untrained model
- 2022-01-24 17:09:36,188:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-24 17:09:36,198:INFO:Starting cross validation
- 2022-01-24 17:09:36,199:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:39,308:INFO:Calculating mean and std
- 2022-01-24 17:09:39,309:INFO:Creating metrics dataframe
- 2022-01-24 17:09:39,312:INFO:Uploading results into container
- 2022-01-24 17:09:39,312:INFO:Uploading model into container now
- 2022-01-24 17:09:39,312:INFO:create_model_container: 13
- 2022-01-24 17:09:39,312:INFO:master_model_container: 13
- 2022-01-24 17:09:39,312:INFO:display_container: 2
- 2022-01-24 17:09:39,313:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-24 17:09:39,313:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:39,403:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:39,404:INFO:Creating metrics dataframe
- 2022-01-24 17:09:39,417:INFO:Initializing Dummy Classifier
- 2022-01-24 17:09:39,417:INFO:Total runtime is 1.309907301266988 minutes
- 2022-01-24 17:09:39,423:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:39,423:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:39,423:INFO:Checking exceptions
- 2022-01-24 17:09:39,423:INFO:Importing libraries
- 2022-01-24 17:09:39,424:INFO:Copying training dataset
- 2022-01-24 17:09:39,425:INFO:Defining folds
- 2022-01-24 17:09:39,425:INFO:Declaring metric variables
- 2022-01-24 17:09:39,430:INFO:Importing untrained model
- 2022-01-24 17:09:39,435:INFO:Dummy Classifier Imported succesfully
- 2022-01-24 17:09:39,445:INFO:Starting cross validation
- 2022-01-24 17:09:39,445:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:39,558:INFO:Calculating mean and std
- 2022-01-24 17:09:39,559:INFO:Creating metrics dataframe
- 2022-01-24 17:09:39,561:INFO:Uploading results into container
- 2022-01-24 17:09:39,562:INFO:Uploading model into container now
- 2022-01-24 17:09:39,562:INFO:create_model_container: 14
- 2022-01-24 17:09:39,562:INFO:master_model_container: 14
- 2022-01-24 17:09:39,562:INFO:display_container: 2
- 2022-01-24 17:09:39,562:INFO:DummyClassifier(constant=None, random_state=6174, strategy='prior')
- 2022-01-24 17:09:39,562:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:39,646:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:39,646:INFO:Creating metrics dataframe
- 2022-01-24 17:09:39,671:INFO:Initializing create_model()
- 2022-01-24 17:09:39,672:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- 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={})
- 2022-01-24 17:09:39,672:INFO:Checking exceptions
- 2022-01-24 17:09:39,672:INFO:Importing libraries
- 2022-01-24 17:09:39,672:INFO:Copying training dataset
- 2022-01-24 17:09:39,674:INFO:Defining folds
- 2022-01-24 17:09:39,674:INFO:Declaring metric variables
- 2022-01-24 17:09:39,674:INFO:Importing untrained model
- 2022-01-24 17:09:39,674:INFO:Declaring custom model
- 2022-01-24 17:09:39,675:INFO:Random Forest Classifier Imported succesfully
- 2022-01-24 17:09:39,675:INFO:Cross validation set to False
- 2022-01-24 17:09:39,675:INFO:Fitting Model
- 2022-01-24 17:09:40,059:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:40,060:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:40,155:INFO:Initializing create_model()
- 2022-01-24 17:09:40,155:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6174, verbose=0,
- 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={})
- 2022-01-24 17:09:40,155:INFO:Checking exceptions
- 2022-01-24 17:09:40,155:INFO:Importing libraries
- 2022-01-24 17:09:40,156:INFO:Copying training dataset
- 2022-01-24 17:09:40,157:INFO:Defining folds
- 2022-01-24 17:09:40,157:INFO:Declaring metric variables
- 2022-01-24 17:09:40,157:INFO:Importing untrained model
- 2022-01-24 17:09:40,157:INFO:Declaring custom model
- 2022-01-24 17:09:40,158:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-24 17:09:40,158:INFO:Cross validation set to False
- 2022-01-24 17:09:40,158:INFO:Fitting Model
- 2022-01-24 17:09:40,478:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:40,478:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:40,583:INFO:Initializing create_model()
- 2022-01-24 17:09:40,583:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-24 17:09:40,583:INFO:Checking exceptions
- 2022-01-24 17:09:40,584:INFO:Importing libraries
- 2022-01-24 17:09:40,584:INFO:Copying training dataset
- 2022-01-24 17:09:40,585:INFO:Defining folds
- 2022-01-24 17:09:40,585:INFO:Declaring metric variables
- 2022-01-24 17:09:40,585:INFO:Importing untrained model
- 2022-01-24 17:09:40,585:INFO:Declaring custom model
- 2022-01-24 17:09:40,586:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-24 17:09:40,586:INFO:Cross validation set to False
- 2022-01-24 17:09:40,587:INFO:Fitting Model
- 2022-01-24 17:09:40,683:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6174, splitter='best')
- 2022-01-24 17:09:40,684:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:40,769:INFO:Initializing create_model()
- 2022-01-24 17:09:40,770:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-24 17:09:40,770:INFO:Checking exceptions
- 2022-01-24 17:09:40,770:INFO:Importing libraries
- 2022-01-24 17:09:40,770:INFO:Copying training dataset
- 2022-01-24 17:09:40,771:INFO:Defining folds
- 2022-01-24 17:09:40,771:INFO:Declaring metric variables
- 2022-01-24 17:09:40,772:INFO:Importing untrained model
- 2022-01-24 17:09:40,772:INFO:Declaring custom model
- 2022-01-24 17:09:40,772:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-24 17:09:40,772:INFO:Cross validation set to False
- 2022-01-24 17:09:40,773:INFO:Fitting Model
- 2022-01-24 17:09:42,392:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-24 17:09:42,392:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:42,474:INFO:Initializing create_model()
- 2022-01-24 17:09:42,474:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-24 17:09:42,475:INFO:Checking exceptions
- 2022-01-24 17:09:42,475:INFO:Importing libraries
- 2022-01-24 17:09:42,475:INFO:Copying training dataset
- 2022-01-24 17:09:42,476:INFO:Defining folds
- 2022-01-24 17:09:42,476:INFO:Declaring metric variables
- 2022-01-24 17:09:42,476:INFO:Importing untrained model
- 2022-01-24 17:09:42,477:INFO:Declaring custom model
- 2022-01-24 17:09:42,477:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-24 17:09:42,477:INFO:Cross validation set to False
- 2022-01-24 17:09:42,478:INFO:Fitting Model
- 2022-01-24 17:09:42,693:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-24 17:09:42,693:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:42,779:INFO:Initializing create_model()
- 2022-01-24 17:09:42,780:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6174, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-24 17:09:42,780:INFO:Checking exceptions
- 2022-01-24 17:09:42,780:INFO:Importing libraries
- 2022-01-24 17:09:42,780:INFO:Copying training dataset
- 2022-01-24 17:09:42,781:INFO:Defining folds
- 2022-01-24 17:09:42,781:INFO:Declaring metric variables
- 2022-01-24 17:09:42,781:INFO:Importing untrained model
- 2022-01-24 17:09:42,782:INFO:Declaring custom model
- 2022-01-24 17:09:42,782:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-24 17:09:42,782:INFO:Cross validation set to False
- 2022-01-24 17:09:42,783:INFO:Fitting Model
- 2022-01-24 17:09:45,257:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6174, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:45,258:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:45,362:INFO:create_model_container: 14
- 2022-01-24 17:09:45,362:INFO:master_model_container: 14
- 2022-01-24 17:09:45,363:INFO:display_container: 2
- 2022-01-24 17:09:45,364:INFO:[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6174, verbose=0,
- warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6174, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6174, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-24 17:09:45,364:INFO:compare_models() succesfully completed......................................
- 2022-01-24 17:48:37,127:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:48:37,127:INFO:Checking exceptions
- 2022-01-24 17:48:37,128:INFO:Preparing display monitor
- 2022-01-24 17:48:37,139:INFO:Importing libraries
- 2022-01-24 17:48:37,139:INFO:Copying training dataset
- 2022-01-24 17:48:37,142:INFO:Defining folds
- 2022-01-24 17:48:37,143:INFO:Declaring metric variables
- 2022-01-24 17:48:37,148:INFO:Importing untrained model
- 2022-01-24 17:48:37,153:INFO:Random Forest Classifier Imported succesfully
- 2022-01-24 17:48:37,163:INFO:Starting cross validation
- 2022-01-24 17:48:37,163:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:48:44,746:INFO:Calculating mean and std
- 2022-01-24 17:48:44,747:INFO:Creating metrics dataframe
- 2022-01-24 17:48:44,754:INFO:Finalizing model
- 2022-01-24 17:48:45,135:INFO:Uploading results into container
- 2022-01-24 17:48:45,136:INFO:Uploading model into container now
- 2022-01-24 17:48:45,147:INFO:create_model_container: 15
- 2022-01-24 17:48:45,147:INFO:master_model_container: 15
- 2022-01-24 17:48:45,147:INFO:display_container: 3
- 2022-01-24 17:48:45,148:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:48:45,148:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:16,053:INFO:PyCaret Supervised Module
- 2022-01-26 09:07:16,054:INFO:ML Usecase: classification
- 2022-01-26 09:07:16,054:INFO:version 2.3.6
- 2022-01-26 09:07:16,054:INFO:Initializing setup()
- 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)
- 2022-01-26 09:07:16,054:INFO:Checking environment
- 2022-01-26 09:07:16,055:INFO:python_version: 3.8.8
- 2022-01-26 09:07:16,055:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 09:07:16,055:INFO:machine: x86_64
- 2022-01-26 09:07:16,055:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 09:07:16,056:INFO:Physical Core: 16
- 2022-01-26 09:07:16,056:INFO:Logical Core: 32
- 2022-01-26 09:07:16,056:INFO:Checking libraries
- 2022-01-26 09:07:16,057:INFO:pd==1.2.4
- 2022-01-26 09:07:16,057:INFO:numpy==1.19.5
- 2022-01-26 09:07:16,057:INFO:sklearn==0.23.2
- 2022-01-26 09:07:16,057:INFO:lightgbm==3.3.2
- 2022-01-26 09:07:16,059:WARNING:catboost not found
- 2022-01-26 09:07:16,059:WARNING:xgboost not found
- 2022-01-26 09:07:16,186:INFO:mlflow==1.22.0
- 2022-01-26 09:07:16,187:INFO:Checking Exceptions
- 2022-01-26 09:07:16,187:INFO:Declaring global variables
- 2022-01-26 09:07:16,187:INFO:USI: f395
- 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'}
- 2022-01-26 09:07:16,188:INFO:Preparing display monitor
- 2022-01-26 09:07:16,188:INFO:Preparing display monitor
- 2022-01-26 09:07:16,198:INFO:Importing libraries
- 2022-01-26 09:07:16,198:INFO:Copying data for preprocessing
- 2022-01-26 09:07:16,205:INFO:Declaring preprocessing parameters
- 2022-01-26 09:07:16,206:WARNING:cuML not found
- 2022-01-26 09:07:16,206:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-26 09:07:16,210:INFO:Creating preprocessing pipeline
- 2022-01-26 09:07:16,264:INFO:Preprocessing pipeline created successfully
- 2022-01-26 09:07:16,264:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 09:07:16,265:INFO:Creating global containers
- 2022-01-26 09:07:16,265:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 09:07:19,269:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 09:07:19,296:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 09:07:19,297:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 09:07:19,298:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 09:07:19,313:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 09:07:19,316:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 09:07:19,319:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 09:07:19,324:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 09:07:19,325:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 09:07:19,354:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 09:07:19,355:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 09:07:19,356:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 09:07:19,369:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 09:07:19,372:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 09:07:19,374:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 09:07:19,377:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 09:07:19,378:INFO:Creating grid variables
- 2022-01-26 09:07:19,391:INFO:create_model_container: 0
- 2022-01-26 09:07:19,391:INFO:master_model_container: 0
- 2022-01-26 09:07:19,391:INFO:display_container: 1
- 2022-01-26 09:07:19,394:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=['Unnamed: 0'],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- num...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 09:07:19,395:INFO:setup() succesfully completed......................................
- 2022-01-26 09:07:29,383:INFO:Initializing compare_models()
- 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)
- 2022-01-26 09:07:29,383:INFO:Checking exceptions
- 2022-01-26 09:07:29,384:INFO:Preparing display monitor
- 2022-01-26 09:07:29,384:INFO:Preparing display monitor
- 2022-01-26 09:07:29,402:INFO:Initializing Logistic Regression
- 2022-01-26 09:07:29,402:INFO:Total runtime is 5.821386973063151e-06 minutes
- 2022-01-26 09:07:29,408:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:29,408:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:29,409:INFO:Checking exceptions
- 2022-01-26 09:07:29,409:INFO:Importing libraries
- 2022-01-26 09:07:29,409:INFO:Copying training dataset
- 2022-01-26 09:07:29,410:INFO:Defining folds
- 2022-01-26 09:07:29,411:INFO:Declaring metric variables
- 2022-01-26 09:07:29,416:INFO:Importing untrained model
- 2022-01-26 09:07:29,421:INFO:Logistic Regression Imported succesfully
- 2022-01-26 09:07:29,432:INFO:Starting cross validation
- 2022-01-26 09:07:29,433:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:35,669:INFO:Calculating mean and std
- 2022-01-26 09:07:35,670:INFO:Creating metrics dataframe
- 2022-01-26 09:07:35,676:INFO:Uploading results into container
- 2022-01-26 09:07:35,679:INFO:Uploading model into container now
- 2022-01-26 09:07:35,679:INFO:create_model_container: 1
- 2022-01-26 09:07:35,682:INFO:master_model_container: 1
- 2022-01-26 09:07:35,683:INFO:display_container: 2
- 2022-01-26 09:07:35,684:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4718, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-26 09:07:35,684:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:35,766:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:35,766:INFO:Creating metrics dataframe
- 2022-01-26 09:07:35,775:INFO:Initializing K Neighbors Classifier
- 2022-01-26 09:07:35,775:INFO:Total runtime is 0.1062253475189209 minutes
- 2022-01-26 09:07:35,781:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:35,781:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:35,781:INFO:Checking exceptions
- 2022-01-26 09:07:35,782:INFO:Importing libraries
- 2022-01-26 09:07:35,782:INFO:Copying training dataset
- 2022-01-26 09:07:35,783:INFO:Defining folds
- 2022-01-26 09:07:35,783:INFO:Declaring metric variables
- 2022-01-26 09:07:35,788:INFO:Importing untrained model
- 2022-01-26 09:07:35,793:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 09:07:35,804:INFO:Starting cross validation
- 2022-01-26 09:07:35,805:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:49,942:INFO:Calculating mean and std
- 2022-01-26 09:07:49,943:INFO:Creating metrics dataframe
- 2022-01-26 09:07:49,946:INFO:Uploading results into container
- 2022-01-26 09:07:49,946:INFO:Uploading model into container now
- 2022-01-26 09:07:49,946:INFO:create_model_container: 2
- 2022-01-26 09:07:49,946:INFO:master_model_container: 2
- 2022-01-26 09:07:49,947:INFO:display_container: 2
- 2022-01-26 09:07:49,947:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 09:07:49,947:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:50,023:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:50,024:INFO:Creating metrics dataframe
- 2022-01-26 09:07:50,034:INFO:Initializing Naive Bayes
- 2022-01-26 09:07:50,034:INFO:Total runtime is 0.34387213389078775 minutes
- 2022-01-26 09:07:50,040:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:50,040:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:50,040:INFO:Checking exceptions
- 2022-01-26 09:07:50,040:INFO:Importing libraries
- 2022-01-26 09:07:50,040:INFO:Copying training dataset
- 2022-01-26 09:07:50,043:INFO:Defining folds
- 2022-01-26 09:07:50,044:INFO:Declaring metric variables
- 2022-01-26 09:07:50,049:INFO:Importing untrained model
- 2022-01-26 09:07:50,054:INFO:Naive Bayes Imported succesfully
- 2022-01-26 09:07:50,064:INFO:Starting cross validation
- 2022-01-26 09:07:50,065:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:50,298:INFO:Calculating mean and std
- 2022-01-26 09:07:50,299:INFO:Creating metrics dataframe
- 2022-01-26 09:07:50,302:INFO:Uploading results into container
- 2022-01-26 09:07:50,302:INFO:Uploading model into container now
- 2022-01-26 09:07:50,302:INFO:create_model_container: 3
- 2022-01-26 09:07:50,302:INFO:master_model_container: 3
- 2022-01-26 09:07:50,303:INFO:display_container: 2
- 2022-01-26 09:07:50,303:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-26 09:07:50,303:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:50,367:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:50,368:INFO:Creating metrics dataframe
- 2022-01-26 09:07:50,379:INFO:Initializing Decision Tree Classifier
- 2022-01-26 09:07:50,379:INFO:Total runtime is 0.3496158758799235 minutes
- 2022-01-26 09:07:50,385:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:50,385:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:50,385:INFO:Checking exceptions
- 2022-01-26 09:07:50,385:INFO:Importing libraries
- 2022-01-26 09:07:50,386:INFO:Copying training dataset
- 2022-01-26 09:07:50,387:INFO:Defining folds
- 2022-01-26 09:07:50,387:INFO:Declaring metric variables
- 2022-01-26 09:07:50,392:INFO:Importing untrained model
- 2022-01-26 09:07:50,397:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 09:07:50,407:INFO:Starting cross validation
- 2022-01-26 09:07:50,408:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:51,665:INFO:Calculating mean and std
- 2022-01-26 09:07:51,666:INFO:Creating metrics dataframe
- 2022-01-26 09:07:51,669:INFO:Uploading results into container
- 2022-01-26 09:07:51,669:INFO:Uploading model into container now
- 2022-01-26 09:07:51,669:INFO:create_model_container: 4
- 2022-01-26 09:07:51,669:INFO:master_model_container: 4
- 2022-01-26 09:07:51,669:INFO:display_container: 2
- 2022-01-26 09:07:51,670:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4718, splitter='best')
- 2022-01-26 09:07:51,670:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:51,744:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:51,744:INFO:Creating metrics dataframe
- 2022-01-26 09:07:51,755:INFO:Initializing SVM - Linear Kernel
- 2022-01-26 09:07:51,755:INFO:Total runtime is 0.3725543657938639 minutes
- 2022-01-26 09:07:51,760:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:51,761:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:51,761:INFO:Checking exceptions
- 2022-01-26 09:07:51,761:INFO:Importing libraries
- 2022-01-26 09:07:51,762:INFO:Copying training dataset
- 2022-01-26 09:07:51,763:INFO:Defining folds
- 2022-01-26 09:07:51,763:INFO:Declaring metric variables
- 2022-01-26 09:07:51,768:INFO:Importing untrained model
- 2022-01-26 09:07:51,773:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-26 09:07:51,783:INFO:Starting cross validation
- 2022-01-26 09:07:51,784:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:52,996:INFO:Calculating mean and std
- 2022-01-26 09:07:52,998:INFO:Creating metrics dataframe
- 2022-01-26 09:07:53,006:INFO:Uploading results into container
- 2022-01-26 09:07:53,006:INFO:Uploading model into container now
- 2022-01-26 09:07:53,007:INFO:create_model_container: 5
- 2022-01-26 09:07:53,007:INFO:master_model_container: 5
- 2022-01-26 09:07:53,007:INFO:display_container: 2
- 2022-01-26 09:07:53,008:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4718, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-26 09:07:53,008:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:53,091:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:53,091:INFO:Creating metrics dataframe
- 2022-01-26 09:07:53,102:INFO:Initializing Ridge Classifier
- 2022-01-26 09:07:53,103:INFO:Total runtime is 0.3950118064880371 minutes
- 2022-01-26 09:07:53,108:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:53,108:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:53,108:INFO:Checking exceptions
- 2022-01-26 09:07:53,109:INFO:Importing libraries
- 2022-01-26 09:07:53,109:INFO:Copying training dataset
- 2022-01-26 09:07:53,110:INFO:Defining folds
- 2022-01-26 09:07:53,110:INFO:Declaring metric variables
- 2022-01-26 09:07:53,115:INFO:Importing untrained model
- 2022-01-26 09:07:53,120:INFO:Ridge Classifier Imported succesfully
- 2022-01-26 09:07:53,130:INFO:Starting cross validation
- 2022-01-26 09:07:53,131:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:53,845:INFO:Calculating mean and std
- 2022-01-26 09:07:53,849:INFO:Creating metrics dataframe
- 2022-01-26 09:07:53,856:INFO:Uploading results into container
- 2022-01-26 09:07:53,857:INFO:Uploading model into container now
- 2022-01-26 09:07:53,857:INFO:create_model_container: 6
- 2022-01-26 09:07:53,857:INFO:master_model_container: 6
- 2022-01-26 09:07:53,857:INFO:display_container: 2
- 2022-01-26 09:07:53,858:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4718,
- solver='auto', tol=0.001)
- 2022-01-26 09:07:53,858:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:53,945:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:53,945:INFO:Creating metrics dataframe
- 2022-01-26 09:07:53,957:INFO:Initializing Random Forest Classifier
- 2022-01-26 09:07:53,957:INFO:Total runtime is 0.409252389272054 minutes
- 2022-01-26 09:07:53,963:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:53,963:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:53,964:INFO:Checking exceptions
- 2022-01-26 09:07:53,964:INFO:Importing libraries
- 2022-01-26 09:07:53,964:INFO:Copying training dataset
- 2022-01-26 09:07:53,966:INFO:Defining folds
- 2022-01-26 09:07:53,966:INFO:Declaring metric variables
- 2022-01-26 09:07:53,971:INFO:Importing untrained model
- 2022-01-26 09:07:53,976:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 09:07:53,986:INFO:Starting cross validation
- 2022-01-26 09:07:53,986:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:00,672:INFO:Calculating mean and std
- 2022-01-26 09:08:00,673:INFO:Creating metrics dataframe
- 2022-01-26 09:08:00,676:INFO:Uploading results into container
- 2022-01-26 09:08:00,677:INFO:Uploading model into container now
- 2022-01-26 09:08:00,677:INFO:create_model_container: 7
- 2022-01-26 09:08:00,677:INFO:master_model_container: 7
- 2022-01-26 09:08:00,677:INFO:display_container: 2
- 2022-01-26 09:08:00,678:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:00,678:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:00,749:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:00,749:INFO:Creating metrics dataframe
- 2022-01-26 09:08:00,762:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-26 09:08:00,762:INFO:Total runtime is 0.5226710319519042 minutes
- 2022-01-26 09:08:00,768:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:00,768:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:00,768:INFO:Checking exceptions
- 2022-01-26 09:08:00,769:INFO:Importing libraries
- 2022-01-26 09:08:00,769:INFO:Copying training dataset
- 2022-01-26 09:08:00,770:INFO:Defining folds
- 2022-01-26 09:08:00,770:INFO:Declaring metric variables
- 2022-01-26 09:08:00,775:INFO:Importing untrained model
- 2022-01-26 09:08:00,780:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-26 09:08:00,791:INFO:Starting cross validation
- 2022-01-26 09:08:00,791:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:01,619:INFO:Calculating mean and std
- 2022-01-26 09:08:01,620:INFO:Creating metrics dataframe
- 2022-01-26 09:08:01,625:INFO:Uploading results into container
- 2022-01-26 09:08:01,626:INFO:Uploading model into container now
- 2022-01-26 09:08:01,626:INFO:create_model_container: 8
- 2022-01-26 09:08:01,627:INFO:master_model_container: 8
- 2022-01-26 09:08:01,627:INFO:display_container: 2
- 2022-01-26 09:08:01,627:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-26 09:08:01,628:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:01,710:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:01,710:INFO:Creating metrics dataframe
- 2022-01-26 09:08:01,722:INFO:Initializing Ada Boost Classifier
- 2022-01-26 09:08:01,723:INFO:Total runtime is 0.5386785705884297 minutes
- 2022-01-26 09:08:01,728:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:01,729:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:01,729:INFO:Checking exceptions
- 2022-01-26 09:08:01,729:INFO:Importing libraries
- 2022-01-26 09:08:01,730:INFO:Copying training dataset
- 2022-01-26 09:08:01,731:INFO:Defining folds
- 2022-01-26 09:08:01,731:INFO:Declaring metric variables
- 2022-01-26 09:08:01,736:INFO:Importing untrained model
- 2022-01-26 09:08:01,741:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-26 09:08:01,751:INFO:Starting cross validation
- 2022-01-26 09:08:01,752:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:09,099:INFO:Calculating mean and std
- 2022-01-26 09:08:09,100:INFO:Creating metrics dataframe
- 2022-01-26 09:08:09,102:INFO:Uploading results into container
- 2022-01-26 09:08:09,102:INFO:Uploading model into container now
- 2022-01-26 09:08:09,103:INFO:create_model_container: 9
- 2022-01-26 09:08:09,103:INFO:master_model_container: 9
- 2022-01-26 09:08:09,103:INFO:display_container: 2
- 2022-01-26 09:08:09,103:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4718)
- 2022-01-26 09:08:09,103:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:09,172:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:09,173:INFO:Creating metrics dataframe
- 2022-01-26 09:08:09,185:INFO:Initializing Gradient Boosting Classifier
- 2022-01-26 09:08:09,186:INFO:Total runtime is 0.6630625208218892 minutes
- 2022-01-26 09:08:09,191:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:09,192:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:09,192:INFO:Checking exceptions
- 2022-01-26 09:08:09,192:INFO:Importing libraries
- 2022-01-26 09:08:09,193:INFO:Copying training dataset
- 2022-01-26 09:08:09,195:INFO:Defining folds
- 2022-01-26 09:08:09,195:INFO:Declaring metric variables
- 2022-01-26 09:08:09,200:INFO:Importing untrained model
- 2022-01-26 09:08:09,205:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 09:08:09,216:INFO:Starting cross validation
- 2022-01-26 09:08:09,216:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:35,087:INFO:Calculating mean and std
- 2022-01-26 09:08:35,088:INFO:Creating metrics dataframe
- 2022-01-26 09:08:35,091:INFO:Uploading results into container
- 2022-01-26 09:08:35,091:INFO:Uploading model into container now
- 2022-01-26 09:08:35,091:INFO:create_model_container: 10
- 2022-01-26 09:08:35,091:INFO:master_model_container: 10
- 2022-01-26 09:08:35,091:INFO:display_container: 2
- 2022-01-26 09:08:35,092:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4718, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:35,092:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:35,157:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:35,158:INFO:Creating metrics dataframe
- 2022-01-26 09:08:35,170:INFO:Initializing Linear Discriminant Analysis
- 2022-01-26 09:08:35,170:INFO:Total runtime is 1.0961407860120138 minutes
- 2022-01-26 09:08:35,176:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:35,176:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:35,176:INFO:Checking exceptions
- 2022-01-26 09:08:35,177:INFO:Importing libraries
- 2022-01-26 09:08:35,177:INFO:Copying training dataset
- 2022-01-26 09:08:35,178:INFO:Defining folds
- 2022-01-26 09:08:35,178:INFO:Declaring metric variables
- 2022-01-26 09:08:35,183:INFO:Importing untrained model
- 2022-01-26 09:08:35,188:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-26 09:08:35,198:INFO:Starting cross validation
- 2022-01-26 09:08:35,199:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:37,142:INFO:Calculating mean and std
- 2022-01-26 09:08:37,143:INFO:Creating metrics dataframe
- 2022-01-26 09:08:37,147:INFO:Uploading results into container
- 2022-01-26 09:08:37,147:INFO:Uploading model into container now
- 2022-01-26 09:08:37,147:INFO:create_model_container: 11
- 2022-01-26 09:08:37,148:INFO:master_model_container: 11
- 2022-01-26 09:08:37,148:INFO:display_container: 2
- 2022-01-26 09:08:37,148:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-26 09:08:37,148:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:37,228:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:37,228:INFO:Creating metrics dataframe
- 2022-01-26 09:08:37,241:INFO:Initializing Extra Trees Classifier
- 2022-01-26 09:08:37,241:INFO:Total runtime is 1.1306507190068564 minutes
- 2022-01-26 09:08:37,246:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:37,247:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:37,247:INFO:Checking exceptions
- 2022-01-26 09:08:37,247:INFO:Importing libraries
- 2022-01-26 09:08:37,247:INFO:Copying training dataset
- 2022-01-26 09:08:37,249:INFO:Defining folds
- 2022-01-26 09:08:37,249:INFO:Declaring metric variables
- 2022-01-26 09:08:37,254:INFO:Importing untrained model
- 2022-01-26 09:08:37,259:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 09:08:37,270:INFO:Starting cross validation
- 2022-01-26 09:08:37,270:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:44,256:INFO:Calculating mean and std
- 2022-01-26 09:08:44,257:INFO:Creating metrics dataframe
- 2022-01-26 09:08:44,259:INFO:Uploading results into container
- 2022-01-26 09:08:44,260:INFO:Uploading model into container now
- 2022-01-26 09:08:44,260:INFO:create_model_container: 12
- 2022-01-26 09:08:44,260:INFO:master_model_container: 12
- 2022-01-26 09:08:44,260:INFO:display_container: 2
- 2022-01-26 09:08:44,261:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4718, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:44,261:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:44,332:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:44,332:INFO:Creating metrics dataframe
- 2022-01-26 09:08:44,345:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-26 09:08:44,345:INFO:Total runtime is 1.2490598758061728 minutes
- 2022-01-26 09:08:44,351:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:44,351:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:44,352:INFO:Checking exceptions
- 2022-01-26 09:08:44,352:INFO:Importing libraries
- 2022-01-26 09:08:44,352:INFO:Copying training dataset
- 2022-01-26 09:08:44,353:INFO:Defining folds
- 2022-01-26 09:08:44,353:INFO:Declaring metric variables
- 2022-01-26 09:08:44,358:INFO:Importing untrained model
- 2022-01-26 09:08:44,363:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 09:08:44,375:INFO:Starting cross validation
- 2022-01-26 09:08:44,375:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:47,510:INFO:Calculating mean and std
- 2022-01-26 09:08:47,511:INFO:Creating metrics dataframe
- 2022-01-26 09:08:47,514:INFO:Uploading results into container
- 2022-01-26 09:08:47,514:INFO:Uploading model into container now
- 2022-01-26 09:08:47,515:INFO:create_model_container: 13
- 2022-01-26 09:08:47,515:INFO:master_model_container: 13
- 2022-01-26 09:08:47,515:INFO:display_container: 2
- 2022-01-26 09:08:47,515:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 09:08:47,516:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:47,582:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:47,582:INFO:Creating metrics dataframe
- 2022-01-26 09:08:47,596:INFO:Initializing Dummy Classifier
- 2022-01-26 09:08:47,596:INFO:Total runtime is 1.3032345215479535 minutes
- 2022-01-26 09:08:47,601:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:47,602:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:47,602:INFO:Checking exceptions
- 2022-01-26 09:08:47,602:INFO:Importing libraries
- 2022-01-26 09:08:47,602:INFO:Copying training dataset
- 2022-01-26 09:08:47,604:INFO:Defining folds
- 2022-01-26 09:08:47,604:INFO:Declaring metric variables
- 2022-01-26 09:08:47,608:INFO:Importing untrained model
- 2022-01-26 09:08:47,613:INFO:Dummy Classifier Imported succesfully
- 2022-01-26 09:08:47,623:INFO:Starting cross validation
- 2022-01-26 09:08:47,624:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:47,740:INFO:Calculating mean and std
- 2022-01-26 09:08:47,741:INFO:Creating metrics dataframe
- 2022-01-26 09:08:47,743:INFO:Uploading results into container
- 2022-01-26 09:08:47,743:INFO:Uploading model into container now
- 2022-01-26 09:08:47,744:INFO:create_model_container: 14
- 2022-01-26 09:08:47,744:INFO:master_model_container: 14
- 2022-01-26 09:08:47,744:INFO:display_container: 2
- 2022-01-26 09:08:47,744:INFO:DummyClassifier(constant=None, random_state=4718, strategy='prior')
- 2022-01-26 09:08:47,745:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:47,814:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:47,815:INFO:Creating metrics dataframe
- 2022-01-26 09:08:47,840:INFO:Initializing create_model()
- 2022-01-26 09:08:47,840:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4718, verbose=0,
- 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={})
- 2022-01-26 09:08:47,841:INFO:Checking exceptions
- 2022-01-26 09:08:47,841:INFO:Importing libraries
- 2022-01-26 09:08:47,841:INFO:Copying training dataset
- 2022-01-26 09:08:47,842:INFO:Defining folds
- 2022-01-26 09:08:47,842:INFO:Declaring metric variables
- 2022-01-26 09:08:47,842:INFO:Importing untrained model
- 2022-01-26 09:08:47,842:INFO:Declaring custom model
- 2022-01-26 09:08:47,843:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 09:08:47,843:INFO:Cross validation set to False
- 2022-01-26 09:08:47,844:INFO:Fitting Model
- 2022-01-26 09:08:48,190:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4718, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:48,190:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:48,270:INFO:Initializing create_model()
- 2022-01-26 09:08:48,271:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
- 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={})
- 2022-01-26 09:08:48,271:INFO:Checking exceptions
- 2022-01-26 09:08:48,271:INFO:Importing libraries
- 2022-01-26 09:08:48,271:INFO:Copying training dataset
- 2022-01-26 09:08:48,272:INFO:Defining folds
- 2022-01-26 09:08:48,272:INFO:Declaring metric variables
- 2022-01-26 09:08:48,272:INFO:Importing untrained model
- 2022-01-26 09:08:48,273:INFO:Declaring custom model
- 2022-01-26 09:08:48,273:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 09:08:48,273:INFO:Cross validation set to False
- 2022-01-26 09:08:48,273:INFO:Fitting Model
- 2022-01-26 09:08:48,648:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:48,648:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:48,722:INFO:Initializing create_model()
- 2022-01-26 09:08:48,722:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-26 09:08:48,723:INFO:Checking exceptions
- 2022-01-26 09:08:48,723:INFO:Importing libraries
- 2022-01-26 09:08:48,723:INFO:Copying training dataset
- 2022-01-26 09:08:48,724:INFO:Defining folds
- 2022-01-26 09:08:48,724:INFO:Declaring metric variables
- 2022-01-26 09:08:48,724:INFO:Importing untrained model
- 2022-01-26 09:08:48,724:INFO:Declaring custom model
- 2022-01-26 09:08:48,725:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 09:08:48,725:INFO:Cross validation set to False
- 2022-01-26 09:08:48,725:INFO:Fitting Model
- 2022-01-26 09:08:48,856:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4718, splitter='best')
- 2022-01-26 09:08:48,857:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:48,929:INFO:Initializing create_model()
- 2022-01-26 09:08:48,929:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-26 09:08:48,930:INFO:Checking exceptions
- 2022-01-26 09:08:48,930:INFO:Importing libraries
- 2022-01-26 09:08:48,930:INFO:Copying training dataset
- 2022-01-26 09:08:48,931:INFO:Defining folds
- 2022-01-26 09:08:48,931:INFO:Declaring metric variables
- 2022-01-26 09:08:48,931:INFO:Importing untrained model
- 2022-01-26 09:08:48,931:INFO:Declaring custom model
- 2022-01-26 09:08:48,932:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 09:08:48,932:INFO:Cross validation set to False
- 2022-01-26 09:08:48,932:INFO:Fitting Model
- 2022-01-26 09:08:49,387:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 09:08:49,387:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:49,465:INFO:Initializing create_model()
- 2022-01-26 09:08:49,466:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-26 09:08:49,466:INFO:Checking exceptions
- 2022-01-26 09:08:49,466:INFO:Importing libraries
- 2022-01-26 09:08:49,466:INFO:Copying training dataset
- 2022-01-26 09:08:49,467:INFO:Defining folds
- 2022-01-26 09:08:49,468:INFO:Declaring metric variables
- 2022-01-26 09:08:49,468:INFO:Importing untrained model
- 2022-01-26 09:08:49,468:INFO:Declaring custom model
- 2022-01-26 09:08:49,468:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 09:08:49,469:INFO:Cross validation set to False
- 2022-01-26 09:08:49,469:INFO:Fitting Model
- 2022-01-26 09:08:50,371:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 09:08:50,371:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:50,442:INFO:Initializing create_model()
- 2022-01-26 09:08:50,442:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4718, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-26 09:08:50,442:INFO:Checking exceptions
- 2022-01-26 09:08:50,442:INFO:Importing libraries
- 2022-01-26 09:08:50,443:INFO:Copying training dataset
- 2022-01-26 09:08:50,444:INFO:Defining folds
- 2022-01-26 09:08:50,444:INFO:Declaring metric variables
- 2022-01-26 09:08:50,444:INFO:Importing untrained model
- 2022-01-26 09:08:50,444:INFO:Declaring custom model
- 2022-01-26 09:08:50,445:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 09:08:50,445:INFO:Cross validation set to False
- 2022-01-26 09:08:50,445:INFO:Fitting Model
- 2022-01-26 09:08:53,309:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4718, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:53,309:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:53,409:INFO:create_model_container: 14
- 2022-01-26 09:08:53,409:INFO:master_model_container: 14
- 2022-01-26 09:08:53,409:INFO:display_container: 2
- 2022-01-26 09:08:53,411:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4718, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
- warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4718, splitter='best'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4718, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-26 09:08:53,411:INFO:compare_models() succesfully completed......................................
- 2022-01-26 10:33:44,922:INFO:PyCaret Supervised Module
- 2022-01-26 10:33:44,922:INFO:ML Usecase: classification
- 2022-01-26 10:33:44,923:INFO:version 2.3.6
- 2022-01-26 10:33:44,923:INFO:Initializing setup()
- 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)
- 2022-01-26 10:33:44,923:INFO:Checking environment
- 2022-01-26 10:33:44,923:INFO:python_version: 3.8.8
- 2022-01-26 10:33:44,924:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 10:33:44,924:INFO:machine: x86_64
- 2022-01-26 10:33:44,924:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 10:33:44,925:INFO:Physical Core: 16
- 2022-01-26 10:33:44,925:INFO:Logical Core: 32
- 2022-01-26 10:33:44,925:INFO:Checking libraries
- 2022-01-26 10:33:44,925:INFO:pd==1.2.4
- 2022-01-26 10:33:44,925:INFO:numpy==1.19.5
- 2022-01-26 10:33:44,926:INFO:sklearn==0.23.2
- 2022-01-26 10:33:44,926:INFO:lightgbm==3.3.2
- 2022-01-26 10:33:44,926:WARNING:catboost not found
- 2022-01-26 10:33:44,927:WARNING:xgboost not found
- 2022-01-26 10:33:44,927:INFO:mlflow==1.22.0
- 2022-01-26 10:33:44,927:INFO:Checking Exceptions
- 2022-01-26 10:33:44,927:INFO:Declaring global variables
- 2022-01-26 10:33:44,927:INFO:USI: 8c35
- 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'}
- 2022-01-26 10:33:44,928:INFO:Preparing display monitor
- 2022-01-26 10:33:44,928:INFO:Preparing display monitor
- 2022-01-26 10:33:44,936:INFO:Importing libraries
- 2022-01-26 10:33:44,936:INFO:Copying data for preprocessing
- 2022-01-26 10:33:44,943:INFO:Declaring preprocessing parameters
- 2022-01-26 10:33:44,944:WARNING:cuML not found
- 2022-01-26 10:33:44,944:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-26 10:33:44,948:INFO:Creating preprocessing pipeline
- 2022-01-26 10:33:45,004:INFO:Preprocessing pipeline created successfully
- 2022-01-26 10:33:45,005:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 10:33:45,005:INFO:Creating global containers
- 2022-01-26 10:33:45,005:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 10:33:46,890:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 10:33:46,918:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 10:33:46,919:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 10:33:46,920:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 10:33:46,935:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 10:33:46,938:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 10:33:46,940:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 10:33:46,944:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 10:33:46,945:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 10:33:46,977:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 10:33:46,978:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 10:33:46,979:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 10:33:46,995:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 10:33:46,999:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 10:33:47,000:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 10:33:47,004:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 10:33:47,005:INFO:Creating grid variables
- 2022-01-26 10:33:47,019:INFO:create_model_container: 0
- 2022-01-26 10:33:47,019:INFO:master_model_container: 0
- 2022-01-26 10:33:47,020:INFO:display_container: 1
- 2022-01-26 10:33:47,023:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=['Unnamed: 0'],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- num...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 10:33:47,023:INFO:setup() succesfully completed......................................
- 2022-01-26 10:33:57,190:INFO:Initializing compare_models()
- 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)
- 2022-01-26 10:33:57,191:INFO:Checking exceptions
- 2022-01-26 10:33:57,192:INFO:Preparing display monitor
- 2022-01-26 10:33:57,192:INFO:Preparing display monitor
- 2022-01-26 10:33:57,211:INFO:Initializing Logistic Regression
- 2022-01-26 10:33:57,211:INFO:Total runtime is 5.690256754557292e-06 minutes
- 2022-01-26 10:33:57,217:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:33:57,218:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:33:57,218:INFO:Checking exceptions
- 2022-01-26 10:33:57,218:INFO:Importing libraries
- 2022-01-26 10:33:57,218:INFO:Copying training dataset
- 2022-01-26 10:33:57,220:INFO:Defining folds
- 2022-01-26 10:33:57,220:INFO:Declaring metric variables
- 2022-01-26 10:33:57,226:INFO:Importing untrained model
- 2022-01-26 10:33:57,231:INFO:Logistic Regression Imported succesfully
- 2022-01-26 10:33:57,242:INFO:Starting cross validation
- 2022-01-26 10:33:57,242:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:07,932:INFO:Calculating mean and std
- 2022-01-26 10:34:07,935:INFO:Creating metrics dataframe
- 2022-01-26 10:34:07,940:INFO:Uploading results into container
- 2022-01-26 10:34:07,940:INFO:Uploading model into container now
- 2022-01-26 10:34:07,941:INFO:create_model_container: 1
- 2022-01-26 10:34:07,941:INFO:master_model_container: 1
- 2022-01-26 10:34:07,941:INFO:display_container: 2
- 2022-01-26 10:34:07,942:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4851, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-26 10:34:07,942:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:08,039:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:08,039:INFO:Creating metrics dataframe
- 2022-01-26 10:34:08,049:INFO:Initializing K Neighbors Classifier
- 2022-01-26 10:34:08,049:INFO:Total runtime is 0.18064369757970175 minutes
- 2022-01-26 10:34:08,055:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:08,056:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:08,056:INFO:Checking exceptions
- 2022-01-26 10:34:08,056:INFO:Importing libraries
- 2022-01-26 10:34:08,056:INFO:Copying training dataset
- 2022-01-26 10:34:08,058:INFO:Defining folds
- 2022-01-26 10:34:08,058:INFO:Declaring metric variables
- 2022-01-26 10:34:08,063:INFO:Importing untrained model
- 2022-01-26 10:34:08,068:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 10:34:08,079:INFO:Starting cross validation
- 2022-01-26 10:34:08,080:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:24,090:INFO:Calculating mean and std
- 2022-01-26 10:34:24,091:INFO:Creating metrics dataframe
- 2022-01-26 10:34:24,094:INFO:Uploading results into container
- 2022-01-26 10:34:24,094:INFO:Uploading model into container now
- 2022-01-26 10:34:24,094:INFO:create_model_container: 2
- 2022-01-26 10:34:24,094:INFO:master_model_container: 2
- 2022-01-26 10:34:24,094:INFO:display_container: 2
- 2022-01-26 10:34:24,095:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 10:34:24,095:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:24,170:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:24,170:INFO:Creating metrics dataframe
- 2022-01-26 10:34:24,181:INFO:Initializing Naive Bayes
- 2022-01-26 10:34:24,181:INFO:Total runtime is 0.4495099743207296 minutes
- 2022-01-26 10:34:24,187:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:24,187:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:24,187:INFO:Checking exceptions
- 2022-01-26 10:34:24,188:INFO:Importing libraries
- 2022-01-26 10:34:24,188:INFO:Copying training dataset
- 2022-01-26 10:34:24,191:INFO:Defining folds
- 2022-01-26 10:34:24,191:INFO:Declaring metric variables
- 2022-01-26 10:34:24,196:INFO:Importing untrained model
- 2022-01-26 10:34:24,201:INFO:Naive Bayes Imported succesfully
- 2022-01-26 10:34:24,213:INFO:Starting cross validation
- 2022-01-26 10:34:24,214:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:24,464:INFO:Calculating mean and std
- 2022-01-26 10:34:24,464:INFO:Creating metrics dataframe
- 2022-01-26 10:34:24,467:INFO:Uploading results into container
- 2022-01-26 10:34:24,467:INFO:Uploading model into container now
- 2022-01-26 10:34:24,467:INFO:create_model_container: 3
- 2022-01-26 10:34:24,468:INFO:master_model_container: 3
- 2022-01-26 10:34:24,468:INFO:display_container: 2
- 2022-01-26 10:34:24,468:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-26 10:34:24,468:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:24,537:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:24,538:INFO:Creating metrics dataframe
- 2022-01-26 10:34:24,549:INFO:Initializing Decision Tree Classifier
- 2022-01-26 10:34:24,549:INFO:Total runtime is 0.4556432445844015 minutes
- 2022-01-26 10:34:24,555:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:24,555:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:24,556:INFO:Checking exceptions
- 2022-01-26 10:34:24,556:INFO:Importing libraries
- 2022-01-26 10:34:24,556:INFO:Copying training dataset
- 2022-01-26 10:34:24,558:INFO:Defining folds
- 2022-01-26 10:34:24,558:INFO:Declaring metric variables
- 2022-01-26 10:34:24,563:INFO:Importing untrained model
- 2022-01-26 10:34:24,568:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 10:34:24,579:INFO:Starting cross validation
- 2022-01-26 10:34:24,580:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:26,163:INFO:Calculating mean and std
- 2022-01-26 10:34:26,163:INFO:Creating metrics dataframe
- 2022-01-26 10:34:26,166:INFO:Uploading results into container
- 2022-01-26 10:34:26,166:INFO:Uploading model into container now
- 2022-01-26 10:34:26,167:INFO:create_model_container: 4
- 2022-01-26 10:34:26,167:INFO:master_model_container: 4
- 2022-01-26 10:34:26,167:INFO:display_container: 2
- 2022-01-26 10:34:26,167:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4851, splitter='best')
- 2022-01-26 10:34:26,167:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:26,239:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:26,240:INFO:Creating metrics dataframe
- 2022-01-26 10:34:26,251:INFO:Initializing SVM - Linear Kernel
- 2022-01-26 10:34:26,251:INFO:Total runtime is 0.4840099096298218 minutes
- 2022-01-26 10:34:26,257:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:26,257:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:26,258:INFO:Checking exceptions
- 2022-01-26 10:34:26,258:INFO:Importing libraries
- 2022-01-26 10:34:26,258:INFO:Copying training dataset
- 2022-01-26 10:34:26,259:INFO:Defining folds
- 2022-01-26 10:34:26,259:INFO:Declaring metric variables
- 2022-01-26 10:34:26,264:INFO:Importing untrained model
- 2022-01-26 10:34:26,270:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-26 10:34:26,282:INFO:Starting cross validation
- 2022-01-26 10:34:26,283:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:27,744:INFO:Calculating mean and std
- 2022-01-26 10:34:27,747:INFO:Creating metrics dataframe
- 2022-01-26 10:34:27,755:INFO:Uploading results into container
- 2022-01-26 10:34:27,757:INFO:Uploading model into container now
- 2022-01-26 10:34:27,758:INFO:create_model_container: 5
- 2022-01-26 10:34:27,760:INFO:master_model_container: 5
- 2022-01-26 10:34:27,760:INFO:display_container: 2
- 2022-01-26 10:34:27,761:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4851, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-26 10:34:27,762:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:27,843:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:27,843:INFO:Creating metrics dataframe
- 2022-01-26 10:34:27,855:INFO:Initializing Ridge Classifier
- 2022-01-26 10:34:27,855:INFO:Total runtime is 0.5107457280158997 minutes
- 2022-01-26 10:34:27,861:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:27,862:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:27,862:INFO:Checking exceptions
- 2022-01-26 10:34:27,862:INFO:Importing libraries
- 2022-01-26 10:34:27,862:INFO:Copying training dataset
- 2022-01-26 10:34:27,864:INFO:Defining folds
- 2022-01-26 10:34:27,864:INFO:Declaring metric variables
- 2022-01-26 10:34:27,869:INFO:Importing untrained model
- 2022-01-26 10:34:27,874:INFO:Ridge Classifier Imported succesfully
- 2022-01-26 10:34:27,884:INFO:Starting cross validation
- 2022-01-26 10:34:27,885:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:28,517:INFO:Calculating mean and std
- 2022-01-26 10:34:28,519:INFO:Creating metrics dataframe
- 2022-01-26 10:34:28,524:INFO:Uploading results into container
- 2022-01-26 10:34:28,524:INFO:Uploading model into container now
- 2022-01-26 10:34:28,525:INFO:create_model_container: 6
- 2022-01-26 10:34:28,525:INFO:master_model_container: 6
- 2022-01-26 10:34:28,525:INFO:display_container: 2
- 2022-01-26 10:34:28,526:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4851,
- solver='auto', tol=0.001)
- 2022-01-26 10:34:28,526:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:28,623:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:28,623:INFO:Creating metrics dataframe
- 2022-01-26 10:34:28,635:INFO:Initializing Random Forest Classifier
- 2022-01-26 10:34:28,636:INFO:Total runtime is 0.5237489740053813 minutes
- 2022-01-26 10:34:28,642:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:28,642:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:28,642:INFO:Checking exceptions
- 2022-01-26 10:34:28,643:INFO:Importing libraries
- 2022-01-26 10:34:28,643:INFO:Copying training dataset
- 2022-01-26 10:34:28,644:INFO:Defining folds
- 2022-01-26 10:34:28,644:INFO:Declaring metric variables
- 2022-01-26 10:34:28,650:INFO:Importing untrained model
- 2022-01-26 10:34:28,655:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 10:34:28,667:INFO:Starting cross validation
- 2022-01-26 10:34:28,667:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:35,647:INFO:Calculating mean and std
- 2022-01-26 10:34:35,648:INFO:Creating metrics dataframe
- 2022-01-26 10:34:35,651:INFO:Uploading results into container
- 2022-01-26 10:34:35,651:INFO:Uploading model into container now
- 2022-01-26 10:34:35,651:INFO:create_model_container: 7
- 2022-01-26 10:34:35,651:INFO:master_model_container: 7
- 2022-01-26 10:34:35,652:INFO:display_container: 2
- 2022-01-26 10:34:35,652:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
- warm_start=False)
- 2022-01-26 10:34:35,652:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:35,738:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:35,738:INFO:Creating metrics dataframe
- 2022-01-26 10:34:35,750:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-26 10:34:35,751:INFO:Total runtime is 0.6423328280448914 minutes
- 2022-01-26 10:34:35,756:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:35,756:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:35,757:INFO:Checking exceptions
- 2022-01-26 10:34:35,757:INFO:Importing libraries
- 2022-01-26 10:34:35,757:INFO:Copying training dataset
- 2022-01-26 10:34:35,758:INFO:Defining folds
- 2022-01-26 10:34:35,758:INFO:Declaring metric variables
- 2022-01-26 10:34:35,763:INFO:Importing untrained model
- 2022-01-26 10:34:35,768:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-26 10:34:35,779:INFO:Starting cross validation
- 2022-01-26 10:34:35,780:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:36,551:INFO:Calculating mean and std
- 2022-01-26 10:34:36,552:INFO:Creating metrics dataframe
- 2022-01-26 10:34:36,558:INFO:Uploading results into container
- 2022-01-26 10:34:36,558:INFO:Uploading model into container now
- 2022-01-26 10:34:36,559:INFO:create_model_container: 8
- 2022-01-26 10:34:36,559:INFO:master_model_container: 8
- 2022-01-26 10:34:36,559:INFO:display_container: 2
- 2022-01-26 10:34:36,559:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-26 10:34:36,560:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:36,642:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:36,642:INFO:Creating metrics dataframe
- 2022-01-26 10:34:36,654:INFO:Initializing Ada Boost Classifier
- 2022-01-26 10:34:36,654:INFO:Total runtime is 0.6573969364166261 minutes
- 2022-01-26 10:34:36,660:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:36,660:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:36,661:INFO:Checking exceptions
- 2022-01-26 10:34:36,661:INFO:Importing libraries
- 2022-01-26 10:34:36,661:INFO:Copying training dataset
- 2022-01-26 10:34:36,662:INFO:Defining folds
- 2022-01-26 10:34:36,663:INFO:Declaring metric variables
- 2022-01-26 10:34:36,667:INFO:Importing untrained model
- 2022-01-26 10:34:36,672:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-26 10:34:36,683:INFO:Starting cross validation
- 2022-01-26 10:34:36,683:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:45,037:INFO:Calculating mean and std
- 2022-01-26 10:34:45,038:INFO:Creating metrics dataframe
- 2022-01-26 10:34:45,041:INFO:Uploading results into container
- 2022-01-26 10:34:45,041:INFO:Uploading model into container now
- 2022-01-26 10:34:45,041:INFO:create_model_container: 9
- 2022-01-26 10:34:45,042:INFO:master_model_container: 9
- 2022-01-26 10:34:45,042:INFO:display_container: 2
- 2022-01-26 10:34:45,042:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4851)
- 2022-01-26 10:34:45,042:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:45,113:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:45,114:INFO:Creating metrics dataframe
- 2022-01-26 10:34:45,126:INFO:Initializing Gradient Boosting Classifier
- 2022-01-26 10:34:45,127:INFO:Total runtime is 0.7985983053843182 minutes
- 2022-01-26 10:34:45,132:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:45,132:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:45,133:INFO:Checking exceptions
- 2022-01-26 10:34:45,133:INFO:Importing libraries
- 2022-01-26 10:34:45,133:INFO:Copying training dataset
- 2022-01-26 10:34:45,134:INFO:Defining folds
- 2022-01-26 10:34:45,135:INFO:Declaring metric variables
- 2022-01-26 10:34:45,140:INFO:Importing untrained model
- 2022-01-26 10:34:45,145:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 10:34:45,155:INFO:Starting cross validation
- 2022-01-26 10:34:45,156:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:16,199:INFO:Calculating mean and std
- 2022-01-26 10:35:16,200:INFO:Creating metrics dataframe
- 2022-01-26 10:35:16,203:INFO:Uploading results into container
- 2022-01-26 10:35:16,203:INFO:Uploading model into container now
- 2022-01-26 10:35:16,203:INFO:create_model_container: 10
- 2022-01-26 10:35:16,203:INFO:master_model_container: 10
- 2022-01-26 10:35:16,203:INFO:display_container: 2
- 2022-01-26 10:35:16,204:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4851, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:16,204:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:16,271:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:16,272:INFO:Creating metrics dataframe
- 2022-01-26 10:35:16,284:INFO:Initializing Linear Discriminant Analysis
- 2022-01-26 10:35:16,284:INFO:Total runtime is 1.3178923209508262 minutes
- 2022-01-26 10:35:16,290:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:35:16,290:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:35:16,291:INFO:Checking exceptions
- 2022-01-26 10:35:16,291:INFO:Importing libraries
- 2022-01-26 10:35:16,291:INFO:Copying training dataset
- 2022-01-26 10:35:16,292:INFO:Defining folds
- 2022-01-26 10:35:16,292:INFO:Declaring metric variables
- 2022-01-26 10:35:16,297:INFO:Importing untrained model
- 2022-01-26 10:35:16,302:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-26 10:35:16,313:INFO:Starting cross validation
- 2022-01-26 10:35:16,313:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:18,196:INFO:Calculating mean and std
- 2022-01-26 10:35:18,199:INFO:Creating metrics dataframe
- 2022-01-26 10:35:18,204:INFO:Uploading results into container
- 2022-01-26 10:35:18,205:INFO:Uploading model into container now
- 2022-01-26 10:35:18,205:INFO:create_model_container: 11
- 2022-01-26 10:35:18,205:INFO:master_model_container: 11
- 2022-01-26 10:35:18,206:INFO:display_container: 2
- 2022-01-26 10:35:18,206:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-26 10:35:18,206:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:18,289:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:18,289:INFO:Creating metrics dataframe
- 2022-01-26 10:35:18,302:INFO:Initializing Extra Trees Classifier
- 2022-01-26 10:35:18,302:INFO:Total runtime is 1.3515202363332115 minutes
- 2022-01-26 10:35:18,307:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:35:18,308:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:35:18,308:INFO:Checking exceptions
- 2022-01-26 10:35:18,308:INFO:Importing libraries
- 2022-01-26 10:35:18,308:INFO:Copying training dataset
- 2022-01-26 10:35:18,310:INFO:Defining folds
- 2022-01-26 10:35:18,310:INFO:Declaring metric variables
- 2022-01-26 10:35:18,315:INFO:Importing untrained model
- 2022-01-26 10:35:18,319:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 10:35:18,330:INFO:Starting cross validation
- 2022-01-26 10:35:18,331:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:25,476:INFO:Calculating mean and std
- 2022-01-26 10:35:25,477:INFO:Creating metrics dataframe
- 2022-01-26 10:35:25,480:INFO:Uploading results into container
- 2022-01-26 10:35:25,480:INFO:Uploading model into container now
- 2022-01-26 10:35:25,480:INFO:create_model_container: 12
- 2022-01-26 10:35:25,480:INFO:master_model_container: 12
- 2022-01-26 10:35:25,480:INFO:display_container: 2
- 2022-01-26 10:35:25,481:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4851, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:25,481:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:25,551:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:25,552:INFO:Creating metrics dataframe
- 2022-01-26 10:35:25,565:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-26 10:35:25,565:INFO:Total runtime is 1.4725696206092838 minutes
- 2022-01-26 10:35:25,570:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:35:25,571:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:35:25,571:INFO:Checking exceptions
- 2022-01-26 10:35:25,571:INFO:Importing libraries
- 2022-01-26 10:35:25,571:INFO:Copying training dataset
- 2022-01-26 10:35:25,573:INFO:Defining folds
- 2022-01-26 10:35:25,573:INFO:Declaring metric variables
- 2022-01-26 10:35:25,578:INFO:Importing untrained model
- 2022-01-26 10:35:25,583:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 10:35:25,594:INFO:Starting cross validation
- 2022-01-26 10:35:25,594:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:28,844:INFO:Calculating mean and std
- 2022-01-26 10:35:28,845:INFO:Creating metrics dataframe
- 2022-01-26 10:35:28,848:INFO:Uploading results into container
- 2022-01-26 10:35:28,848:INFO:Uploading model into container now
- 2022-01-26 10:35:28,848:INFO:create_model_container: 13
- 2022-01-26 10:35:28,849:INFO:master_model_container: 13
- 2022-01-26 10:35:28,849:INFO:display_container: 2
- 2022-01-26 10:35:28,849:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 10:35:28,850:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:28,917:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:28,917:INFO:Creating metrics dataframe
- 2022-01-26 10:35:28,931:INFO:Initializing Dummy Classifier
- 2022-01-26 10:35:28,931:INFO:Total runtime is 1.5286695639292402 minutes
- 2022-01-26 10:35:28,936:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:35:28,936:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:35:28,937:INFO:Checking exceptions
- 2022-01-26 10:35:28,937:INFO:Importing libraries
- 2022-01-26 10:35:28,937:INFO:Copying training dataset
- 2022-01-26 10:35:28,939:INFO:Defining folds
- 2022-01-26 10:35:28,939:INFO:Declaring metric variables
- 2022-01-26 10:35:28,944:INFO:Importing untrained model
- 2022-01-26 10:35:28,948:INFO:Dummy Classifier Imported succesfully
- 2022-01-26 10:35:28,959:INFO:Starting cross validation
- 2022-01-26 10:35:28,959:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:29,074:INFO:Calculating mean and std
- 2022-01-26 10:35:29,075:INFO:Creating metrics dataframe
- 2022-01-26 10:35:29,077:INFO:Uploading results into container
- 2022-01-26 10:35:29,077:INFO:Uploading model into container now
- 2022-01-26 10:35:29,078:INFO:create_model_container: 14
- 2022-01-26 10:35:29,078:INFO:master_model_container: 14
- 2022-01-26 10:35:29,078:INFO:display_container: 2
- 2022-01-26 10:35:29,078:INFO:DummyClassifier(constant=None, random_state=4851, strategy='prior')
- 2022-01-26 10:35:29,079:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:29,151:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:29,151:INFO:Creating metrics dataframe
- 2022-01-26 10:35:29,178:INFO:Initializing create_model()
- 2022-01-26 10:35:29,178:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4851, verbose=0,
- 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={})
- 2022-01-26 10:35:29,178:INFO:Checking exceptions
- 2022-01-26 10:35:29,178:INFO:Importing libraries
- 2022-01-26 10:35:29,179:INFO:Copying training dataset
- 2022-01-26 10:35:29,180:INFO:Defining folds
- 2022-01-26 10:35:29,180:INFO:Declaring metric variables
- 2022-01-26 10:35:29,180:INFO:Importing untrained model
- 2022-01-26 10:35:29,180:INFO:Declaring custom model
- 2022-01-26 10:35:29,181:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 10:35:29,181:INFO:Cross validation set to False
- 2022-01-26 10:35:29,181:INFO:Fitting Model
- 2022-01-26 10:35:29,517:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4851, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:29,517:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:29,595:INFO:Initializing create_model()
- 2022-01-26 10:35:29,595:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
- 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={})
- 2022-01-26 10:35:29,595:INFO:Checking exceptions
- 2022-01-26 10:35:29,595:INFO:Importing libraries
- 2022-01-26 10:35:29,595:INFO:Copying training dataset
- 2022-01-26 10:35:29,596:INFO:Defining folds
- 2022-01-26 10:35:29,596:INFO:Declaring metric variables
- 2022-01-26 10:35:29,597:INFO:Importing untrained model
- 2022-01-26 10:35:29,597:INFO:Declaring custom model
- 2022-01-26 10:35:29,597:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 10:35:29,598:INFO:Cross validation set to False
- 2022-01-26 10:35:29,598:INFO:Fitting Model
- 2022-01-26 10:35:29,982:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:29,983:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:30,057:INFO:Initializing create_model()
- 2022-01-26 10:35:30,057:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-26 10:35:30,057:INFO:Checking exceptions
- 2022-01-26 10:35:30,057:INFO:Importing libraries
- 2022-01-26 10:35:30,058:INFO:Copying training dataset
- 2022-01-26 10:35:30,059:INFO:Defining folds
- 2022-01-26 10:35:30,059:INFO:Declaring metric variables
- 2022-01-26 10:35:30,059:INFO:Importing untrained model
- 2022-01-26 10:35:30,059:INFO:Declaring custom model
- 2022-01-26 10:35:30,060:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 10:35:30,060:INFO:Cross validation set to False
- 2022-01-26 10:35:30,060:INFO:Fitting Model
- 2022-01-26 10:35:30,399:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 10:35:30,400:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:30,471:INFO:Initializing create_model()
- 2022-01-26 10:35:30,472:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-26 10:35:30,472:INFO:Checking exceptions
- 2022-01-26 10:35:30,472:INFO:Importing libraries
- 2022-01-26 10:35:30,472:INFO:Copying training dataset
- 2022-01-26 10:35:30,473:INFO:Defining folds
- 2022-01-26 10:35:30,473:INFO:Declaring metric variables
- 2022-01-26 10:35:30,473:INFO:Importing untrained model
- 2022-01-26 10:35:30,474:INFO:Declaring custom model
- 2022-01-26 10:35:30,474:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 10:35:30,474:INFO:Cross validation set to False
- 2022-01-26 10:35:30,474:INFO:Fitting Model
- 2022-01-26 10:35:30,635:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4851, splitter='best')
- 2022-01-26 10:35:30,635:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:30,708:INFO:Initializing create_model()
- 2022-01-26 10:35:30,708:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-26 10:35:30,708:INFO:Checking exceptions
- 2022-01-26 10:35:30,708:INFO:Importing libraries
- 2022-01-26 10:35:30,709:INFO:Copying training dataset
- 2022-01-26 10:35:30,710:INFO:Defining folds
- 2022-01-26 10:35:30,710:INFO:Declaring metric variables
- 2022-01-26 10:35:30,710:INFO:Importing untrained model
- 2022-01-26 10:35:30,710:INFO:Declaring custom model
- 2022-01-26 10:35:30,710:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 10:35:30,711:INFO:Cross validation set to False
- 2022-01-26 10:35:30,711:INFO:Fitting Model
- 2022-01-26 10:35:31,482:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 10:35:31,482:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:31,557:INFO:Initializing create_model()
- 2022-01-26 10:35:31,558:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4851, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-26 10:35:31,558:INFO:Checking exceptions
- 2022-01-26 10:35:31,558:INFO:Importing libraries
- 2022-01-26 10:35:31,558:INFO:Copying training dataset
- 2022-01-26 10:35:31,559:INFO:Defining folds
- 2022-01-26 10:35:31,560:INFO:Declaring metric variables
- 2022-01-26 10:35:31,560:INFO:Importing untrained model
- 2022-01-26 10:35:31,560:INFO:Declaring custom model
- 2022-01-26 10:35:31,560:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 10:35:31,561:INFO:Cross validation set to False
- 2022-01-26 10:35:31,561:INFO:Fitting Model
- 2022-01-26 10:35:35,011:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4851, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:35,012:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:35,104:INFO:create_model_container: 14
- 2022-01-26 10:35:35,104:INFO:master_model_container: 14
- 2022-01-26 10:35:35,105:INFO:display_container: 2
- 2022-01-26 10:35:35,106:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4851, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
- warm_start=False), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4851, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4851, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-26 10:35:35,106:INFO:compare_models() succesfully completed......................................
- 2022-01-26 11:16:49,076:INFO:PyCaret Supervised Module
- 2022-01-26 11:16:49,076:INFO:ML Usecase: classification
- 2022-01-26 11:16:49,076:INFO:version 2.3.6
- 2022-01-26 11:16:49,077:INFO:Initializing setup()
- 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)
- 2022-01-26 11:16:49,077:INFO:Checking environment
- 2022-01-26 11:16:49,077:INFO:python_version: 3.8.8
- 2022-01-26 11:16:49,077:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 11:16:49,077:INFO:machine: x86_64
- 2022-01-26 11:16:49,078:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 11:16:49,078:INFO:Physical Core: 16
- 2022-01-26 11:16:49,079:INFO:Logical Core: 32
- 2022-01-26 11:16:49,079:INFO:Checking libraries
- 2022-01-26 11:16:49,079:INFO:pd==1.2.4
- 2022-01-26 11:16:49,079:INFO:numpy==1.19.5
- 2022-01-26 11:16:49,079:INFO:sklearn==0.23.2
- 2022-01-26 11:16:49,079:INFO:lightgbm==3.3.2
- 2022-01-26 11:16:49,080:WARNING:catboost not found
- 2022-01-26 11:16:49,080:WARNING:xgboost not found
- 2022-01-26 11:16:49,081:INFO:mlflow==1.22.0
- 2022-01-26 11:16:49,081:INFO:Checking Exceptions
- 2022-01-26 11:16:49,081:INFO:Declaring global variables
- 2022-01-26 11:16:49,081:INFO:USI: 0901
- 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'}
- 2022-01-26 11:16:49,081:INFO:Preparing display monitor
- 2022-01-26 11:16:49,081:INFO:Preparing display monitor
- 2022-01-26 11:16:49,090:INFO:Importing libraries
- 2022-01-26 11:16:49,090:INFO:Copying data for preprocessing
- 2022-01-26 11:16:49,096:INFO:Declaring preprocessing parameters
- 2022-01-26 11:16:49,097:WARNING:cuML not found
- 2022-01-26 11:16:49,097:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-26 11:16:49,099:INFO:Creating preprocessing pipeline
- 2022-01-26 11:16:49,146:INFO:Preprocessing pipeline created successfully
- 2022-01-26 11:16:49,146:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 11:16:49,147:INFO:Creating global containers
- 2022-01-26 11:16:49,147:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 11:16:51,131:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 11:16:51,161:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 11:16:51,162:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 11:16:51,162:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 11:16:51,178:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 11:16:51,181:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 11:16:51,182:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 11:16:51,193:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 11:16:51,194:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 11:16:51,225:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 11:16:51,226:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 11:16:51,227:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 11:16:51,242:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 11:16:51,246:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 11:16:51,247:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 11:16:51,251:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 11:16:51,252:INFO:Creating grid variables
- 2022-01-26 11:16:51,263:INFO:create_model_container: 0
- 2022-01-26 11:16:51,264:INFO:master_model_container: 0
- 2022-01-26 11:16:51,264:INFO:display_container: 1
- 2022-01-26 11:16:51,267:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 11:16:51,267:INFO:setup() succesfully completed......................................
- 2022-01-26 11:16:59,004:INFO:Initializing compare_models()
- 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)
- 2022-01-26 11:16:59,004:INFO:Checking exceptions
- 2022-01-26 11:16:59,005:INFO:Preparing display monitor
- 2022-01-26 11:16:59,006:INFO:Preparing display monitor
- 2022-01-26 11:16:59,023:INFO:Initializing Logistic Regression
- 2022-01-26 11:16:59,023:INFO:Total runtime is 5.316734313964844e-06 minutes
- 2022-01-26 11:16:59,028:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:16:59,029:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:16:59,029:INFO:Checking exceptions
- 2022-01-26 11:16:59,029:INFO:Importing libraries
- 2022-01-26 11:16:59,029:INFO:Copying training dataset
- 2022-01-26 11:16:59,030:INFO:Defining folds
- 2022-01-26 11:16:59,030:INFO:Declaring metric variables
- 2022-01-26 11:16:59,035:INFO:Importing untrained model
- 2022-01-26 11:16:59,040:INFO:Logistic Regression Imported succesfully
- 2022-01-26 11:16:59,051:INFO:Starting cross validation
- 2022-01-26 11:16:59,052:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:04,419:INFO:Calculating mean and std
- 2022-01-26 11:17:04,420:INFO:Creating metrics dataframe
- 2022-01-26 11:17:04,425:INFO:Uploading results into container
- 2022-01-26 11:17:04,426:INFO:Uploading model into container now
- 2022-01-26 11:17:04,426:INFO:create_model_container: 1
- 2022-01-26 11:17:04,426:INFO:master_model_container: 1
- 2022-01-26 11:17:04,426:INFO:display_container: 2
- 2022-01-26 11:17:04,427:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=6208, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-26 11:17:04,427:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:04,510:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:04,510:INFO:Creating metrics dataframe
- 2022-01-26 11:17:04,520:INFO:Initializing K Neighbors Classifier
- 2022-01-26 11:17:04,520:INFO:Total runtime is 0.09162770907084147 minutes
- 2022-01-26 11:17:04,526:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:04,526:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:04,527:INFO:Checking exceptions
- 2022-01-26 11:17:04,527:INFO:Importing libraries
- 2022-01-26 11:17:04,527:INFO:Copying training dataset
- 2022-01-26 11:17:04,528:INFO:Defining folds
- 2022-01-26 11:17:04,528:INFO:Declaring metric variables
- 2022-01-26 11:17:04,534:INFO:Importing untrained model
- 2022-01-26 11:17:04,539:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 11:17:04,550:INFO:Starting cross validation
- 2022-01-26 11:17:04,550:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:17,138:INFO:Calculating mean and std
- 2022-01-26 11:17:17,139:INFO:Creating metrics dataframe
- 2022-01-26 11:17:17,142:INFO:Uploading results into container
- 2022-01-26 11:17:17,142:INFO:Uploading model into container now
- 2022-01-26 11:17:17,142:INFO:create_model_container: 2
- 2022-01-26 11:17:17,142:INFO:master_model_container: 2
- 2022-01-26 11:17:17,143:INFO:display_container: 2
- 2022-01-26 11:17:17,143:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 11:17:17,143:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:17,226:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:17,227:INFO:Creating metrics dataframe
- 2022-01-26 11:17:17,238:INFO:Initializing Naive Bayes
- 2022-01-26 11:17:17,238:INFO:Total runtime is 0.30358940760294595 minutes
- 2022-01-26 11:17:17,244:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:17,245:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:17,245:INFO:Checking exceptions
- 2022-01-26 11:17:17,245:INFO:Importing libraries
- 2022-01-26 11:17:17,246:INFO:Copying training dataset
- 2022-01-26 11:17:17,247:INFO:Defining folds
- 2022-01-26 11:17:17,247:INFO:Declaring metric variables
- 2022-01-26 11:17:17,253:INFO:Importing untrained model
- 2022-01-26 11:17:17,258:INFO:Naive Bayes Imported succesfully
- 2022-01-26 11:17:17,269:INFO:Starting cross validation
- 2022-01-26 11:17:17,269:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:17,455:INFO:Calculating mean and std
- 2022-01-26 11:17:17,456:INFO:Creating metrics dataframe
- 2022-01-26 11:17:17,458:INFO:Uploading results into container
- 2022-01-26 11:17:17,459:INFO:Uploading model into container now
- 2022-01-26 11:17:17,459:INFO:create_model_container: 3
- 2022-01-26 11:17:17,459:INFO:master_model_container: 3
- 2022-01-26 11:17:17,459:INFO:display_container: 2
- 2022-01-26 11:17:17,460:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-26 11:17:17,460:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:17,526:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:17,526:INFO:Creating metrics dataframe
- 2022-01-26 11:17:17,537:INFO:Initializing Decision Tree Classifier
- 2022-01-26 11:17:17,537:INFO:Total runtime is 0.30857091347376503 minutes
- 2022-01-26 11:17:17,542:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:17,543:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:17,543:INFO:Checking exceptions
- 2022-01-26 11:17:17,543:INFO:Importing libraries
- 2022-01-26 11:17:17,543:INFO:Copying training dataset
- 2022-01-26 11:17:17,544:INFO:Defining folds
- 2022-01-26 11:17:17,544:INFO:Declaring metric variables
- 2022-01-26 11:17:17,549:INFO:Importing untrained model
- 2022-01-26 11:17:17,554:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 11:17:17,565:INFO:Starting cross validation
- 2022-01-26 11:17:17,565:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:18,622:INFO:Calculating mean and std
- 2022-01-26 11:17:18,623:INFO:Creating metrics dataframe
- 2022-01-26 11:17:18,625:INFO:Uploading results into container
- 2022-01-26 11:17:18,625:INFO:Uploading model into container now
- 2022-01-26 11:17:18,626:INFO:create_model_container: 4
- 2022-01-26 11:17:18,626:INFO:master_model_container: 4
- 2022-01-26 11:17:18,626:INFO:display_container: 2
- 2022-01-26 11:17:18,626:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6208, splitter='best')
- 2022-01-26 11:17:18,627:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:18,705:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:18,705:INFO:Creating metrics dataframe
- 2022-01-26 11:17:18,717:INFO:Initializing SVM - Linear Kernel
- 2022-01-26 11:17:18,717:INFO:Total runtime is 0.3282352526982625 minutes
- 2022-01-26 11:17:18,722:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:18,722:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:18,723:INFO:Checking exceptions
- 2022-01-26 11:17:18,723:INFO:Importing libraries
- 2022-01-26 11:17:18,723:INFO:Copying training dataset
- 2022-01-26 11:17:18,724:INFO:Defining folds
- 2022-01-26 11:17:18,724:INFO:Declaring metric variables
- 2022-01-26 11:17:18,730:INFO:Importing untrained model
- 2022-01-26 11:17:18,735:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-26 11:17:18,745:INFO:Starting cross validation
- 2022-01-26 11:17:18,746:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:19,762:INFO:Calculating mean and std
- 2022-01-26 11:17:19,763:INFO:Creating metrics dataframe
- 2022-01-26 11:17:19,768:INFO:Uploading results into container
- 2022-01-26 11:17:19,768:INFO:Uploading model into container now
- 2022-01-26 11:17:19,769:INFO:create_model_container: 5
- 2022-01-26 11:17:19,770:INFO:master_model_container: 5
- 2022-01-26 11:17:19,771:INFO:display_container: 2
- 2022-01-26 11:17:19,772:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=6208, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-26 11:17:19,774:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:19,865:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:19,865:INFO:Creating metrics dataframe
- 2022-01-26 11:17:19,876:INFO:Initializing Ridge Classifier
- 2022-01-26 11:17:19,876:INFO:Total runtime is 0.34756100575129184 minutes
- 2022-01-26 11:17:19,882:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:19,882:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:19,883:INFO:Checking exceptions
- 2022-01-26 11:17:19,883:INFO:Importing libraries
- 2022-01-26 11:17:19,883:INFO:Copying training dataset
- 2022-01-26 11:17:19,884:INFO:Defining folds
- 2022-01-26 11:17:19,884:INFO:Declaring metric variables
- 2022-01-26 11:17:19,889:INFO:Importing untrained model
- 2022-01-26 11:17:19,894:INFO:Ridge Classifier Imported succesfully
- 2022-01-26 11:17:19,905:INFO:Starting cross validation
- 2022-01-26 11:17:19,905:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:20,206:INFO:Calculating mean and std
- 2022-01-26 11:17:20,208:INFO:Creating metrics dataframe
- 2022-01-26 11:17:20,213:INFO:Uploading results into container
- 2022-01-26 11:17:20,213:INFO:Uploading model into container now
- 2022-01-26 11:17:20,215:INFO:create_model_container: 6
- 2022-01-26 11:17:20,215:INFO:master_model_container: 6
- 2022-01-26 11:17:20,215:INFO:display_container: 2
- 2022-01-26 11:17:20,216:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=6208,
- solver='auto', tol=0.001)
- 2022-01-26 11:17:20,217:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:20,304:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:20,304:INFO:Creating metrics dataframe
- 2022-01-26 11:17:20,317:INFO:Initializing Random Forest Classifier
- 2022-01-26 11:17:20,317:INFO:Total runtime is 0.3549059748649597 minutes
- 2022-01-26 11:17:20,323:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:20,324:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:20,324:INFO:Checking exceptions
- 2022-01-26 11:17:20,324:INFO:Importing libraries
- 2022-01-26 11:17:20,324:INFO:Copying training dataset
- 2022-01-26 11:17:20,326:INFO:Defining folds
- 2022-01-26 11:17:20,326:INFO:Declaring metric variables
- 2022-01-26 11:17:20,332:INFO:Importing untrained model
- 2022-01-26 11:17:20,337:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 11:17:20,348:INFO:Starting cross validation
- 2022-01-26 11:17:20,349:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:26,934:INFO:Calculating mean and std
- 2022-01-26 11:17:26,935:INFO:Creating metrics dataframe
- 2022-01-26 11:17:26,938:INFO:Uploading results into container
- 2022-01-26 11:17:26,938:INFO:Uploading model into container now
- 2022-01-26 11:17:26,938:INFO:create_model_container: 7
- 2022-01-26 11:17:26,939:INFO:master_model_container: 7
- 2022-01-26 11:17:26,939:INFO:display_container: 2
- 2022-01-26 11:17:26,939:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
- warm_start=False)
- 2022-01-26 11:17:26,939:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:27,020:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:27,020:INFO:Creating metrics dataframe
- 2022-01-26 11:17:27,032:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-26 11:17:27,032:INFO:Total runtime is 0.46681727965672803 minutes
- 2022-01-26 11:17:27,037:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:27,037:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:27,038:INFO:Checking exceptions
- 2022-01-26 11:17:27,038:INFO:Importing libraries
- 2022-01-26 11:17:27,038:INFO:Copying training dataset
- 2022-01-26 11:17:27,039:INFO:Defining folds
- 2022-01-26 11:17:27,039:INFO:Declaring metric variables
- 2022-01-26 11:17:27,044:INFO:Importing untrained model
- 2022-01-26 11:17:27,049:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-26 11:17:27,060:INFO:Starting cross validation
- 2022-01-26 11:17:27,061:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:27,594:INFO:Calculating mean and std
- 2022-01-26 11:17:27,595:INFO:Creating metrics dataframe
- 2022-01-26 11:17:27,603:INFO:Uploading results into container
- 2022-01-26 11:17:27,603:INFO:Uploading model into container now
- 2022-01-26 11:17:27,604:INFO:create_model_container: 8
- 2022-01-26 11:17:27,604:INFO:master_model_container: 8
- 2022-01-26 11:17:27,605:INFO:display_container: 2
- 2022-01-26 11:17:27,606:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-26 11:17:27,606:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:27,685:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:27,686:INFO:Creating metrics dataframe
- 2022-01-26 11:17:27,697:INFO:Initializing Ada Boost Classifier
- 2022-01-26 11:17:27,698:INFO:Total runtime is 0.477915334701538 minutes
- 2022-01-26 11:17:27,703:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:27,703:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:27,704:INFO:Checking exceptions
- 2022-01-26 11:17:27,704:INFO:Importing libraries
- 2022-01-26 11:17:27,704:INFO:Copying training dataset
- 2022-01-26 11:17:27,705:INFO:Defining folds
- 2022-01-26 11:17:27,705:INFO:Declaring metric variables
- 2022-01-26 11:17:27,710:INFO:Importing untrained model
- 2022-01-26 11:17:27,715:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-26 11:17:27,725:INFO:Starting cross validation
- 2022-01-26 11:17:27,726:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:35,012:INFO:Calculating mean and std
- 2022-01-26 11:17:35,013:INFO:Creating metrics dataframe
- 2022-01-26 11:17:35,015:INFO:Uploading results into container
- 2022-01-26 11:17:35,015:INFO:Uploading model into container now
- 2022-01-26 11:17:35,016:INFO:create_model_container: 9
- 2022-01-26 11:17:35,016:INFO:master_model_container: 9
- 2022-01-26 11:17:35,016:INFO:display_container: 2
- 2022-01-26 11:17:35,016:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=6208)
- 2022-01-26 11:17:35,016:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:35,085:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:35,085:INFO:Creating metrics dataframe
- 2022-01-26 11:17:35,097:INFO:Initializing Gradient Boosting Classifier
- 2022-01-26 11:17:35,097:INFO:Total runtime is 0.6012375831604003 minutes
- 2022-01-26 11:17:35,102:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:35,103:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:35,103:INFO:Checking exceptions
- 2022-01-26 11:17:35,103:INFO:Importing libraries
- 2022-01-26 11:17:35,103:INFO:Copying training dataset
- 2022-01-26 11:17:35,104:INFO:Defining folds
- 2022-01-26 11:17:35,105:INFO:Declaring metric variables
- 2022-01-26 11:17:35,110:INFO:Importing untrained model
- 2022-01-26 11:17:35,116:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 11:17:35,126:INFO:Starting cross validation
- 2022-01-26 11:17:35,127:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:01,620:INFO:Calculating mean and std
- 2022-01-26 11:18:01,621:INFO:Creating metrics dataframe
- 2022-01-26 11:18:01,624:INFO:Uploading results into container
- 2022-01-26 11:18:01,624:INFO:Uploading model into container now
- 2022-01-26 11:18:01,624:INFO:create_model_container: 10
- 2022-01-26 11:18:01,624:INFO:master_model_container: 10
- 2022-01-26 11:18:01,625:INFO:display_container: 2
- 2022-01-26 11:18:01,625:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6208, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:01,626:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:01,701:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:01,701:INFO:Creating metrics dataframe
- 2022-01-26 11:18:01,714:INFO:Initializing Linear Discriminant Analysis
- 2022-01-26 11:18:01,714:INFO:Total runtime is 1.0448512911796568 minutes
- 2022-01-26 11:18:01,719:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:18:01,719:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:18:01,720:INFO:Checking exceptions
- 2022-01-26 11:18:01,720:INFO:Importing libraries
- 2022-01-26 11:18:01,720:INFO:Copying training dataset
- 2022-01-26 11:18:01,721:INFO:Defining folds
- 2022-01-26 11:18:01,722:INFO:Declaring metric variables
- 2022-01-26 11:18:01,727:INFO:Importing untrained model
- 2022-01-26 11:18:01,732:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-26 11:18:01,742:INFO:Starting cross validation
- 2022-01-26 11:18:01,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:03,060:INFO:Calculating mean and std
- 2022-01-26 11:18:03,062:INFO:Creating metrics dataframe
- 2022-01-26 11:18:03,068:INFO:Uploading results into container
- 2022-01-26 11:18:03,068:INFO:Uploading model into container now
- 2022-01-26 11:18:03,069:INFO:create_model_container: 11
- 2022-01-26 11:18:03,069:INFO:master_model_container: 11
- 2022-01-26 11:18:03,070:INFO:display_container: 2
- 2022-01-26 11:18:03,071:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-26 11:18:03,072:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:03,171:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:03,171:INFO:Creating metrics dataframe
- 2022-01-26 11:18:03,184:INFO:Initializing Extra Trees Classifier
- 2022-01-26 11:18:03,184:INFO:Total runtime is 1.0693549036979673 minutes
- 2022-01-26 11:18:03,189:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:18:03,190:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:18:03,190:INFO:Checking exceptions
- 2022-01-26 11:18:03,190:INFO:Importing libraries
- 2022-01-26 11:18:03,190:INFO:Copying training dataset
- 2022-01-26 11:18:03,191:INFO:Defining folds
- 2022-01-26 11:18:03,191:INFO:Declaring metric variables
- 2022-01-26 11:18:03,197:INFO:Importing untrained model
- 2022-01-26 11:18:03,202:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 11:18:03,212:INFO:Starting cross validation
- 2022-01-26 11:18:03,213:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:10,156:INFO:Calculating mean and std
- 2022-01-26 11:18:10,157:INFO:Creating metrics dataframe
- 2022-01-26 11:18:10,160:INFO:Uploading results into container
- 2022-01-26 11:18:10,160:INFO:Uploading model into container now
- 2022-01-26 11:18:10,160:INFO:create_model_container: 12
- 2022-01-26 11:18:10,160:INFO:master_model_container: 12
- 2022-01-26 11:18:10,161:INFO:display_container: 2
- 2022-01-26 11:18:10,161:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6208, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:10,161:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:10,232:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:10,232:INFO:Creating metrics dataframe
- 2022-01-26 11:18:10,245:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-26 11:18:10,245:INFO:Total runtime is 1.1870358864466346 minutes
- 2022-01-26 11:18:10,250:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:18:10,251:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:18:10,251:INFO:Checking exceptions
- 2022-01-26 11:18:10,251:INFO:Importing libraries
- 2022-01-26 11:18:10,252:INFO:Copying training dataset
- 2022-01-26 11:18:10,253:INFO:Defining folds
- 2022-01-26 11:18:10,253:INFO:Declaring metric variables
- 2022-01-26 11:18:10,257:INFO:Importing untrained model
- 2022-01-26 11:18:10,262:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 11:18:10,273:INFO:Starting cross validation
- 2022-01-26 11:18:10,274:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:13,268:INFO:Calculating mean and std
- 2022-01-26 11:18:13,269:INFO:Creating metrics dataframe
- 2022-01-26 11:18:13,271:INFO:Uploading results into container
- 2022-01-26 11:18:13,271:INFO:Uploading model into container now
- 2022-01-26 11:18:13,271:INFO:create_model_container: 13
- 2022-01-26 11:18:13,271:INFO:master_model_container: 13
- 2022-01-26 11:18:13,272:INFO:display_container: 2
- 2022-01-26 11:18:13,272:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 11:18:13,272:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:13,342:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:13,342:INFO:Creating metrics dataframe
- 2022-01-26 11:18:13,355:INFO:Initializing Dummy Classifier
- 2022-01-26 11:18:13,355:INFO:Total runtime is 1.2388765295346575 minutes
- 2022-01-26 11:18:13,361:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:18:13,361:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:18:13,362:INFO:Checking exceptions
- 2022-01-26 11:18:13,362:INFO:Importing libraries
- 2022-01-26 11:18:13,362:INFO:Copying training dataset
- 2022-01-26 11:18:13,363:INFO:Defining folds
- 2022-01-26 11:18:13,363:INFO:Declaring metric variables
- 2022-01-26 11:18:13,368:INFO:Importing untrained model
- 2022-01-26 11:18:13,373:INFO:Dummy Classifier Imported succesfully
- 2022-01-26 11:18:13,384:INFO:Starting cross validation
- 2022-01-26 11:18:13,384:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:13,491:INFO:Calculating mean and std
- 2022-01-26 11:18:13,492:INFO:Creating metrics dataframe
- 2022-01-26 11:18:13,495:INFO:Uploading results into container
- 2022-01-26 11:18:13,495:INFO:Uploading model into container now
- 2022-01-26 11:18:13,495:INFO:create_model_container: 14
- 2022-01-26 11:18:13,495:INFO:master_model_container: 14
- 2022-01-26 11:18:13,495:INFO:display_container: 2
- 2022-01-26 11:18:13,496:INFO:DummyClassifier(constant=None, random_state=6208, strategy='prior')
- 2022-01-26 11:18:13,496:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:13,577:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:13,577:INFO:Creating metrics dataframe
- 2022-01-26 11:18:13,604:INFO:Initializing create_model()
- 2022-01-26 11:18:13,604:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6208, verbose=0,
- 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={})
- 2022-01-26 11:18:13,604:INFO:Checking exceptions
- 2022-01-26 11:18:13,604:INFO:Importing libraries
- 2022-01-26 11:18:13,605:INFO:Copying training dataset
- 2022-01-26 11:18:13,605:INFO:Defining folds
- 2022-01-26 11:18:13,606:INFO:Declaring metric variables
- 2022-01-26 11:18:13,606:INFO:Importing untrained model
- 2022-01-26 11:18:13,606:INFO:Declaring custom model
- 2022-01-26 11:18:13,607:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 11:18:13,607:INFO:Cross validation set to False
- 2022-01-26 11:18:13,607:INFO:Fitting Model
- 2022-01-26 11:18:13,937:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6208, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:13,937:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:14,008:INFO:Initializing create_model()
- 2022-01-26 11:18:14,009:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
- 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={})
- 2022-01-26 11:18:14,009:INFO:Checking exceptions
- 2022-01-26 11:18:14,009:INFO:Importing libraries
- 2022-01-26 11:18:14,009:INFO:Copying training dataset
- 2022-01-26 11:18:14,010:INFO:Defining folds
- 2022-01-26 11:18:14,010:INFO:Declaring metric variables
- 2022-01-26 11:18:14,010:INFO:Importing untrained model
- 2022-01-26 11:18:14,011:INFO:Declaring custom model
- 2022-01-26 11:18:14,011:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 11:18:14,011:INFO:Cross validation set to False
- 2022-01-26 11:18:14,012:INFO:Fitting Model
- 2022-01-26 11:18:14,378:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:14,378:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:14,455:INFO:Initializing create_model()
- 2022-01-26 11:18:14,455:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-26 11:18:14,455:INFO:Checking exceptions
- 2022-01-26 11:18:14,456:INFO:Importing libraries
- 2022-01-26 11:18:14,456:INFO:Copying training dataset
- 2022-01-26 11:18:14,457:INFO:Defining folds
- 2022-01-26 11:18:14,457:INFO:Declaring metric variables
- 2022-01-26 11:18:14,457:INFO:Importing untrained model
- 2022-01-26 11:18:14,457:INFO:Declaring custom model
- 2022-01-26 11:18:14,457:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 11:18:14,458:INFO:Cross validation set to False
- 2022-01-26 11:18:14,458:INFO:Fitting Model
- 2022-01-26 11:18:14,709:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 11:18:14,709:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:14,785:INFO:Initializing create_model()
- 2022-01-26 11:18:14,785:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-26 11:18:14,785:INFO:Checking exceptions
- 2022-01-26 11:18:14,786:INFO:Importing libraries
- 2022-01-26 11:18:14,786:INFO:Copying training dataset
- 2022-01-26 11:18:14,786:INFO:Defining folds
- 2022-01-26 11:18:14,787:INFO:Declaring metric variables
- 2022-01-26 11:18:14,787:INFO:Importing untrained model
- 2022-01-26 11:18:14,787:INFO:Declaring custom model
- 2022-01-26 11:18:14,787:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 11:18:14,788:INFO:Cross validation set to False
- 2022-01-26 11:18:14,788:INFO:Fitting Model
- 2022-01-26 11:18:14,890:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6208, splitter='best')
- 2022-01-26 11:18:14,890:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:14,978:INFO:Initializing create_model()
- 2022-01-26 11:18:14,978:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-26 11:18:14,978:INFO:Checking exceptions
- 2022-01-26 11:18:14,979:INFO:Importing libraries
- 2022-01-26 11:18:14,979:INFO:Copying training dataset
- 2022-01-26 11:18:14,979:INFO:Defining folds
- 2022-01-26 11:18:14,979:INFO:Declaring metric variables
- 2022-01-26 11:18:14,980:INFO:Importing untrained model
- 2022-01-26 11:18:14,980:INFO:Declaring custom model
- 2022-01-26 11:18:14,980:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 11:18:14,981:INFO:Cross validation set to False
- 2022-01-26 11:18:14,981:INFO:Fitting Model
- 2022-01-26 11:18:15,731:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 11:18:15,732:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:15,805:INFO:Initializing create_model()
- 2022-01-26 11:18:15,805:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6208, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-26 11:18:15,806:INFO:Checking exceptions
- 2022-01-26 11:18:15,806:INFO:Importing libraries
- 2022-01-26 11:18:15,806:INFO:Copying training dataset
- 2022-01-26 11:18:15,806:INFO:Defining folds
- 2022-01-26 11:18:15,807:INFO:Declaring metric variables
- 2022-01-26 11:18:15,807:INFO:Importing untrained model
- 2022-01-26 11:18:15,807:INFO:Declaring custom model
- 2022-01-26 11:18:15,807:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 11:18:15,808:INFO:Cross validation set to False
- 2022-01-26 11:18:15,808:INFO:Fitting Model
- 2022-01-26 11:18:18,766:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6208, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:18,767:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:18,872:INFO:create_model_container: 14
- 2022-01-26 11:18:18,873:INFO:master_model_container: 14
- 2022-01-26 11:18:18,873:INFO:display_container: 2
- 2022-01-26 11:18:18,874:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6208, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
- warm_start=False), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6208, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6208, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-26 11:18:18,874:INFO:compare_models() succesfully completed......................................
- 2022-01-26 13:16:01,191:INFO:PyCaret Supervised Module
- 2022-01-26 13:16:01,191:INFO:ML Usecase: classification
- 2022-01-26 13:16:01,192:INFO:version 2.3.6
- 2022-01-26 13:16:01,192:INFO:Initializing setup()
- 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)
- 2022-01-26 13:16:01,192:INFO:Checking environment
- 2022-01-26 13:16:01,193:INFO:python_version: 3.8.8
- 2022-01-26 13:16:01,193:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 13:16:01,193:INFO:machine: x86_64
- 2022-01-26 13:16:01,193:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 13:16:01,194:INFO:Physical Core: 16
- 2022-01-26 13:16:01,195:INFO:Logical Core: 32
- 2022-01-26 13:16:01,195:INFO:Checking libraries
- 2022-01-26 13:16:01,195:INFO:pd==1.2.4
- 2022-01-26 13:16:01,195:INFO:numpy==1.19.5
- 2022-01-26 13:16:01,195:INFO:sklearn==0.23.2
- 2022-01-26 13:16:01,196:INFO:lightgbm==3.3.2
- 2022-01-26 13:16:01,196:WARNING:catboost not found
- 2022-01-26 13:16:01,207:INFO:xgboost==1.5.2
- 2022-01-26 13:16:01,337:INFO:mlflow==1.22.0
- 2022-01-26 13:16:01,337:INFO:Checking Exceptions
- 2022-01-26 13:16:01,338:INFO:Declaring global variables
- 2022-01-26 13:16:01,338:INFO:USI: 4809
- 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'}
- 2022-01-26 13:16:01,338:INFO:Preparing display monitor
- 2022-01-26 13:16:01,338:INFO:Preparing display monitor
- 2022-01-26 13:16:01,348:INFO:Importing libraries
- 2022-01-26 13:16:01,349:INFO:Copying data for preprocessing
- 2022-01-26 13:16:01,355:INFO:Declaring preprocessing parameters
- 2022-01-26 13:16:01,356:WARNING:cuML not found
- 2022-01-26 13:16:01,356:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-26 13:16:01,360:INFO:Creating preprocessing pipeline
- 2022-01-26 13:16:01,409:INFO:Preprocessing pipeline created successfully
- 2022-01-26 13:16:01,409:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 13:16:01,409:INFO:Creating global containers
- 2022-01-26 13:16:01,410:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 13:16:03,310:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:16:03,340:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:16:03,341:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:16:03,342:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:16:03,359:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:16:03,363:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:16:03,374:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:16:03,375:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:16:03,407:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:16:03,408:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:16:03,409:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:16:03,424:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:16:03,428:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:16:03,437:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:16:03,437:INFO:Creating grid variables
- 2022-01-26 13:16:03,450:INFO:create_model_container: 0
- 2022-01-26 13:16:03,450:INFO:master_model_container: 0
- 2022-01-26 13:16:03,450:INFO:display_container: 1
- 2022-01-26 13:16:03,453:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 13:16:03,453:INFO:setup() succesfully completed......................................
- 2022-01-26 13:16:38,840:INFO:Initializing create_model()
- 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={})
- 2022-01-26 13:16:38,841:INFO:Checking exceptions
- 2022-01-26 13:16:38,841:INFO:Preparing display monitor
- 2022-01-26 13:16:38,853:INFO:Importing libraries
- 2022-01-26 13:16:38,853:INFO:Copying training dataset
- 2022-01-26 13:16:38,855:INFO:Defining folds
- 2022-01-26 13:16:38,855:INFO:Declaring metric variables
- 2022-01-26 13:16:38,863:INFO:Importing untrained model
- 2022-01-26 13:16:38,869:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-26 13:16:38,881:INFO:Starting cross validation
- 2022-01-26 13:16:38,882:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 13:17:58,037:INFO:Calculating mean and std
- 2022-01-26 13:17:58,038:INFO:Creating metrics dataframe
- 2022-01-26 13:17:58,046:INFO:Finalizing model
- 2022-01-26 13:18:42,822:INFO:PyCaret Supervised Module
- 2022-01-26 13:18:42,822:INFO:ML Usecase: classification
- 2022-01-26 13:18:42,823:INFO:version 2.3.6
- 2022-01-26 13:18:42,823:INFO:Initializing setup()
- 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)
- 2022-01-26 13:18:42,823:INFO:Checking environment
- 2022-01-26 13:18:42,823:INFO:python_version: 3.8.8
- 2022-01-26 13:18:42,823:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 13:18:42,824:INFO:machine: x86_64
- 2022-01-26 13:18:42,824:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 13:18:42,825:INFO:Physical Core: 16
- 2022-01-26 13:18:42,825:INFO:Logical Core: 32
- 2022-01-26 13:18:42,825:INFO:Checking libraries
- 2022-01-26 13:18:42,825:INFO:pd==1.2.4
- 2022-01-26 13:18:42,825:INFO:numpy==1.19.5
- 2022-01-26 13:18:42,825:INFO:sklearn==0.23.2
- 2022-01-26 13:18:42,825:INFO:lightgbm==3.3.2
- 2022-01-26 13:18:42,826:WARNING:catboost not found
- 2022-01-26 13:18:42,826:INFO:xgboost==1.5.2
- 2022-01-26 13:18:42,826:INFO:mlflow==1.22.0
- 2022-01-26 13:18:42,826:INFO:Checking Exceptions
- 2022-01-26 13:18:42,826:INFO:Declaring global variables
- 2022-01-26 13:18:42,827:INFO:USI: f139
- 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'}
- 2022-01-26 13:18:42,827:INFO:Preparing display monitor
- 2022-01-26 13:18:42,827:INFO:Preparing display monitor
- 2022-01-26 13:18:42,835:INFO:Importing libraries
- 2022-01-26 13:18:42,835:INFO:Copying data for preprocessing
- 2022-01-26 13:18:42,841:INFO:Declaring preprocessing parameters
- 2022-01-26 13:18:42,843:INFO:Creating preprocessing pipeline
- 2022-01-26 13:18:42,887:INFO:Preprocessing pipeline created successfully
- 2022-01-26 13:18:42,887:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 13:18:42,888:INFO:Creating global containers
- 2022-01-26 13:18:42,888:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 13:18:44,507:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:18:44,556:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:18:44,556:INFO:Creating grid variables
- 2022-01-26 13:18:44,566:INFO:create_model_container: 0
- 2022-01-26 13:18:44,566:INFO:master_model_container: 0
- 2022-01-26 13:18:44,567:INFO:display_container: 1
- 2022-01-26 13:18:44,569:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 13:18:44,569:INFO:setup() succesfully completed......................................
- 2022-01-26 13:18:49,170:INFO:Initializing create_model()
- 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={})
- 2022-01-26 13:18:49,171:INFO:Checking exceptions
- 2022-01-26 13:18:49,171:INFO:Preparing display monitor
- 2022-01-26 13:18:49,182:INFO:Importing libraries
- 2022-01-26 13:18:49,182:INFO:Copying training dataset
- 2022-01-26 13:18:49,183:INFO:Defining folds
- 2022-01-26 13:18:49,183:INFO:Declaring metric variables
- 2022-01-26 13:18:49,189:INFO:Importing untrained model
- 2022-01-26 13:18:49,195:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-26 13:18:49,206:INFO:Starting cross validation
- 2022-01-26 13:18:49,207:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-26 13:27:30,798:INFO:Calculating mean and std
- 2022-01-26 13:27:30,799:INFO:Creating metrics dataframe
- 2022-01-26 13:27:30,809:INFO:Finalizing model
- 2022-01-26 13:27:31,527:INFO:Uploading results into container
- 2022-01-26 13:27:31,527:INFO:Uploading model into container now
- 2022-01-26 13:27:31,538:INFO:create_model_container: 1
- 2022-01-26 13:27:31,539:INFO:master_model_container: 1
- 2022-01-26 13:27:31,539:INFO:display_container: 2
- 2022-01-26 13:27:31,540:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1642, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-01-26 13:27:31,540:INFO:create_model() succesfully completed......................................
- 2022-01-26 13:28:23,554:INFO:Initializing tune_model()
- 2022-01-26 13:28:23,554:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1642, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- 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={})
- 2022-01-26 13:28:23,554:INFO:Checking exceptions
- 2022-01-26 13:28:23,556:INFO:Preparing display monitor
- 2022-01-26 13:28:23,569:INFO:Copying training dataset
- 2022-01-26 13:28:23,572:INFO:Checking base model
- 2022-01-26 13:28:23,573:INFO:Base model : Extreme Gradient Boosting
- 2022-01-26 13:28:23,589:INFO:Declaring metric variables
- 2022-01-26 13:28:23,596:INFO:Defining Hyperparameters
- 2022-01-26 13:28:23,687:INFO:Tuning with n_jobs=-1
- 2022-01-26 13:28:23,687:INFO:Initializing RandomizedSearchCV
- 2022-01-26 13:55:52,606:INFO:PyCaret Supervised Module
- 2022-01-26 13:55:52,606:INFO:ML Usecase: classification
- 2022-01-26 13:55:52,606:INFO:version 2.3.6
- 2022-01-26 13:55:52,606:INFO:Initializing setup()
- 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)
- 2022-01-26 13:55:52,607:INFO:Checking environment
- 2022-01-26 13:55:52,607:INFO:python_version: 3.8.8
- 2022-01-26 13:55:52,607:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 13:55:52,607:INFO:machine: x86_64
- 2022-01-26 13:55:52,607:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 13:55:52,608:INFO:Physical Core: 16
- 2022-01-26 13:55:52,608:INFO:Logical Core: 32
- 2022-01-26 13:55:52,609:INFO:Checking libraries
- 2022-01-26 13:55:52,609:INFO:pd==1.2.4
- 2022-01-26 13:55:52,609:INFO:numpy==1.19.5
- 2022-01-26 13:55:52,609:INFO:sklearn==0.23.2
- 2022-01-26 13:55:52,609:INFO:lightgbm==3.3.2
- 2022-01-26 13:55:52,610:WARNING:catboost not found
- 2022-01-26 13:55:52,619:INFO:xgboost==1.5.2
- 2022-01-26 13:55:52,744:INFO:mlflow==1.22.0
- 2022-01-26 13:55:52,745:INFO:Checking Exceptions
- 2022-01-26 13:55:52,745:INFO:Declaring global variables
- 2022-01-26 13:55:52,745:INFO:USI: 074c
- 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'}
- 2022-01-26 13:55:52,745:INFO:Preparing display monitor
- 2022-01-26 13:55:52,746:INFO:Preparing display monitor
- 2022-01-26 13:55:52,755:INFO:Importing libraries
- 2022-01-26 13:55:52,755:INFO:Copying data for preprocessing
- 2022-01-26 13:55:52,761:INFO:Declaring preprocessing parameters
- 2022-01-26 13:55:52,762:WARNING:cuML not found
- 2022-01-26 13:55:52,762:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-26 13:55:52,768:INFO:Creating preprocessing pipeline
- 2022-01-26 13:55:52,815:INFO:Preprocessing pipeline created successfully
- 2022-01-26 13:55:52,816:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 13:55:52,816:INFO:Creating global containers
- 2022-01-26 13:55:52,817:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 13:55:54,788:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:55:54,818:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:55:54,820:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:55:54,821:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:55:54,836:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:55:54,839:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:55:54,849:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:55:54,849:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:55:54,879:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:55:54,879:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:55:54,880:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:55:54,894:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:55:54,897:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:55:54,904:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:55:54,904:INFO:Creating grid variables
- 2022-01-26 13:55:54,916:INFO:create_model_container: 0
- 2022-01-26 13:55:54,916:INFO:master_model_container: 0
- 2022-01-26 13:55:54,916:INFO:display_container: 1
- 2022-01-26 13:55:54,919:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 13:55:54,919:INFO:setup() succesfully completed......................................
- 2022-01-26 13:56:08,045:INFO:Initializing create_model()
- 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={})
- 2022-01-26 13:56:08,045:INFO:Checking exceptions
- 2022-01-26 13:56:08,046:INFO:Preparing display monitor
- 2022-01-26 13:56:08,056:INFO:Importing libraries
- 2022-01-26 13:56:08,056:INFO:Copying training dataset
- 2022-01-26 13:56:08,058:INFO:Defining folds
- 2022-01-26 13:56:08,058:INFO:Declaring metric variables
- 2022-01-26 13:56:08,063:INFO:Importing untrained model
- 2022-01-26 13:56:08,068:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-26 13:56:08,078:INFO:Starting cross validation
- 2022-01-26 13:56:08,079:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 13:56:08,880:INFO:Calculating mean and std
- 2022-01-26 13:56:08,881:INFO:Creating metrics dataframe
- 2022-01-26 13:56:08,889:INFO:Finalizing model
- 2022-01-26 13:59:37,418:INFO:PyCaret Supervised Module
- 2022-01-26 13:59:37,419:INFO:ML Usecase: classification
- 2022-01-26 13:59:37,419:INFO:version 2.3.6
- 2022-01-26 13:59:37,419:INFO:Initializing setup()
- 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)
- 2022-01-26 13:59:37,420:INFO:Checking environment
- 2022-01-26 13:59:37,420:INFO:python_version: 3.8.8
- 2022-01-26 13:59:37,420:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 13:59:37,420:INFO:machine: x86_64
- 2022-01-26 13:59:37,420:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 13:59:37,421:INFO:Physical Core: 16
- 2022-01-26 13:59:37,421:INFO:Logical Core: 32
- 2022-01-26 13:59:37,422:INFO:Checking libraries
- 2022-01-26 13:59:37,422:INFO:pd==1.2.4
- 2022-01-26 13:59:37,422:INFO:numpy==1.19.5
- 2022-01-26 13:59:37,422:INFO:sklearn==0.23.2
- 2022-01-26 13:59:37,422:INFO:lightgbm==3.3.2
- 2022-01-26 13:59:37,423:WARNING:catboost not found
- 2022-01-26 13:59:37,431:INFO:xgboost==1.5.2
- 2022-01-26 13:59:37,555:INFO:mlflow==1.22.0
- 2022-01-26 13:59:37,556:INFO:Checking Exceptions
- 2022-01-26 13:59:37,556:INFO:Declaring global variables
- 2022-01-26 13:59:37,556:INFO:USI: 5282
- 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'}
- 2022-01-26 13:59:37,557:INFO:Preparing display monitor
- 2022-01-26 13:59:37,557:INFO:Preparing display monitor
- 2022-01-26 13:59:37,567:INFO:Importing libraries
- 2022-01-26 13:59:37,567:INFO:Copying data for preprocessing
- 2022-01-26 13:59:37,573:INFO:Declaring preprocessing parameters
- 2022-01-26 13:59:37,574:WARNING:cuML not found
- 2022-01-26 13:59:37,574:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-26 13:59:37,578:INFO:Creating preprocessing pipeline
- 2022-01-26 13:59:37,625:INFO:Preprocessing pipeline created successfully
- 2022-01-26 13:59:37,625:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 13:59:37,626:INFO:Creating global containers
- 2022-01-26 13:59:37,627:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 13:59:39,625:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:59:39,653:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:59:39,655:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:59:39,656:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:59:39,671:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:59:39,674:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:59:39,683:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:59:39,684:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:59:39,715:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:59:39,716:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:59:39,717:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:59:39,730:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:59:39,734:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:59:39,740:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:59:39,741:INFO:Creating grid variables
- 2022-01-26 13:59:39,752:INFO:create_model_container: 0
- 2022-01-26 13:59:39,752:INFO:master_model_container: 0
- 2022-01-26 13:59:39,753:INFO:display_container: 1
- 2022-01-26 13:59:39,756:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 13:59:39,756:INFO:setup() succesfully completed......................................
- 2022-01-26 13:59:44,429:INFO:Initializing create_model()
- 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={})
- 2022-01-26 13:59:44,430:INFO:Checking exceptions
- 2022-01-26 13:59:44,430:INFO:Preparing display monitor
- 2022-01-26 13:59:44,443:INFO:Importing libraries
- 2022-01-26 13:59:44,443:INFO:Copying training dataset
- 2022-01-26 13:59:44,444:INFO:Defining folds
- 2022-01-26 13:59:44,444:INFO:Declaring metric variables
- 2022-01-26 13:59:44,449:INFO:Importing untrained model
- 2022-01-26 13:59:44,455:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-26 13:59:44,466:INFO:Starting cross validation
- 2022-01-26 13:59:44,467:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 13:59:45,233:INFO:Calculating mean and std
- 2022-01-26 13:59:45,234:INFO:Creating metrics dataframe
- 2022-01-26 13:59:45,243:INFO:Finalizing model
- 2022-01-27 14:24:49,942:INFO:PyCaret Supervised Module
- 2022-01-27 14:24:49,943:INFO:ML Usecase: classification
- 2022-01-27 14:24:49,943:INFO:version 2.3.6
- 2022-01-27 14:24:49,943:INFO:Initializing setup()
- 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)
- 2022-01-27 14:24:49,943:INFO:Checking environment
- 2022-01-27 14:24:49,944:INFO:python_version: 3.8.8
- 2022-01-27 14:24:49,944:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-27 14:24:49,944:INFO:machine: x86_64
- 2022-01-27 14:24:49,944:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-27 14:24:49,945:INFO:Physical Core: 16
- 2022-01-27 14:24:49,946:INFO:Logical Core: 32
- 2022-01-27 14:24:49,946:INFO:Checking libraries
- 2022-01-27 14:24:49,946:INFO:pd==1.2.4
- 2022-01-27 14:24:49,946:INFO:numpy==1.19.5
- 2022-01-27 14:24:49,946:INFO:sklearn==0.23.2
- 2022-01-27 14:24:49,947:INFO:lightgbm==3.3.2
- 2022-01-27 14:24:49,947:WARNING:catboost not found
- 2022-01-27 14:24:49,963:INFO:xgboost==1.5.2
- 2022-01-27 14:24:50,101:INFO:mlflow==1.22.0
- 2022-01-27 14:24:50,102:INFO:Checking Exceptions
- 2022-01-27 14:24:50,102:INFO:Declaring global variables
- 2022-01-27 14:24:50,102:INFO:USI: 2cd4
- 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'}
- 2022-01-27 14:24:50,103:INFO:Preparing display monitor
- 2022-01-27 14:24:50,103:INFO:Preparing display monitor
- 2022-01-27 14:24:50,115:INFO:Importing libraries
- 2022-01-27 14:24:50,115:INFO:Copying data for preprocessing
- 2022-01-27 14:24:50,124:INFO:Declaring preprocessing parameters
- 2022-01-27 14:24:50,124:WARNING:cuML not found
- 2022-01-27 14:24:50,125:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-27 14:24:50,131:INFO:Creating preprocessing pipeline
- 2022-01-27 14:24:50,183:INFO:Preprocessing pipeline created successfully
- 2022-01-27 14:24:50,183:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-27 14:24:50,183:INFO:Creating global containers
- 2022-01-27 14:24:50,184:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-27 14:24:52,473:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 14:24:52,503:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 14:24:52,504:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 14:24:52,505:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 14:24:52,521:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 14:24:52,524:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 14:24:52,534:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 14:24:52,535:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 14:24:52,563:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 14:24:52,564:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 14:24:52,565:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 14:24:52,579:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 14:24:52,583:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 14:24:52,591:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 14:24:52,592:INFO:Creating grid variables
- 2022-01-27 14:24:52,604:INFO:create_model_container: 0
- 2022-01-27 14:24:52,604:INFO:master_model_container: 0
- 2022-01-27 14:24:52,604:INFO:display_container: 1
- 2022-01-27 14:24:52,607:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-27 14:24:52,607:INFO:setup() succesfully completed......................................
- 2022-01-27 14:25:10,781:INFO:Initializing create_model()
- 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={})
- 2022-01-27 14:25:10,781:INFO:Checking exceptions
- 2022-01-27 14:25:10,781:INFO:Preparing display monitor
- 2022-01-27 14:25:10,793:INFO:Importing libraries
- 2022-01-27 14:25:10,793:INFO:Copying training dataset
- 2022-01-27 14:25:10,795:INFO:Defining folds
- 2022-01-27 14:25:10,795:INFO:Declaring metric variables
- 2022-01-27 14:25:10,800:INFO:Importing untrained model
- 2022-01-27 14:25:10,805:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 14:25:10,818:INFO:Starting cross validation
- 2022-01-27 14:25:10,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-27 14:25:11,981:INFO:Calculating mean and std
- 2022-01-27 14:25:11,982:INFO:Creating metrics dataframe
- 2022-01-27 14:25:11,991:INFO:Finalizing model
- 2022-01-27 14:36:04,746:INFO:PyCaret Supervised Module
- 2022-01-27 14:36:04,747:INFO:ML Usecase: classification
- 2022-01-27 14:36:04,747:INFO:version 2.3.6
- 2022-01-27 14:36:04,747:INFO:Initializing setup()
- 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)
- 2022-01-27 14:36:04,747:INFO:Checking environment
- 2022-01-27 14:36:04,748:INFO:python_version: 3.8.8
- 2022-01-27 14:36:04,748:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-27 14:36:04,748:INFO:machine: x86_64
- 2022-01-27 14:36:04,748:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-27 14:36:04,749:INFO:Physical Core: 16
- 2022-01-27 14:36:04,749:INFO:Logical Core: 32
- 2022-01-27 14:36:04,750:INFO:Checking libraries
- 2022-01-27 14:36:04,750:INFO:pd==1.2.4
- 2022-01-27 14:36:04,750:INFO:numpy==1.19.5
- 2022-01-27 14:36:04,750:INFO:sklearn==0.23.2
- 2022-01-27 14:36:04,750:INFO:lightgbm==3.3.2
- 2022-01-27 14:36:04,751:WARNING:catboost not found
- 2022-01-27 14:36:04,810:INFO:xgboost==1.5.2
- 2022-01-27 14:36:05,045:INFO:mlflow==1.22.0
- 2022-01-27 14:36:05,046:INFO:Checking Exceptions
- 2022-01-27 14:36:05,047:INFO:Declaring global variables
- 2022-01-27 14:36:05,047:INFO:USI: d7ed
- 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'}
- 2022-01-27 14:36:05,048:INFO:Preparing display monitor
- 2022-01-27 14:36:05,048:INFO:Preparing display monitor
- 2022-01-27 14:36:05,062:INFO:Importing libraries
- 2022-01-27 14:36:05,062:INFO:Copying data for preprocessing
- 2022-01-27 14:36:05,068:INFO:Declaring preprocessing parameters
- 2022-01-27 14:36:05,068:WARNING:cuML not found
- 2022-01-27 14:36:05,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-27 14:36:05,074:INFO:Creating preprocessing pipeline
- 2022-01-27 14:36:05,120:INFO:Preprocessing pipeline created successfully
- 2022-01-27 14:36:05,121:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-27 14:36:05,121:INFO:Creating global containers
- 2022-01-27 14:36:05,122:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-27 14:36:06,433:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 14:36:06,461:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 14:36:06,463:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 14:36:06,464:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 14:36:06,482:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 14:36:06,485:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 14:36:06,518:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 14:36:06,519:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 14:36:06,548:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 14:36:06,549:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 14:36:06,550:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 14:36:06,563:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 14:36:06,566:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 14:36:06,574:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 14:36:06,575:INFO:Creating grid variables
- 2022-01-27 14:36:06,586:INFO:create_model_container: 0
- 2022-01-27 14:36:06,587:INFO:master_model_container: 0
- 2022-01-27 14:36:06,587:INFO:display_container: 1
- 2022-01-27 14:36:06,590:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-27 14:36:06,590:INFO:setup() succesfully completed......................................
- 2022-01-27 14:36:12,465:INFO:Initializing create_model()
- 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={})
- 2022-01-27 14:36:12,466:INFO:Checking exceptions
- 2022-01-27 14:36:12,466:INFO:Preparing display monitor
- 2022-01-27 14:36:12,478:INFO:Importing libraries
- 2022-01-27 14:36:12,478:INFO:Copying training dataset
- 2022-01-27 14:36:12,479:INFO:Defining folds
- 2022-01-27 14:36:12,479:INFO:Declaring metric variables
- 2022-01-27 14:36:12,484:INFO:Importing untrained model
- 2022-01-27 14:36:12,489:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 14:36:12,500:INFO:Starting cross validation
- 2022-01-27 14:36:12,501:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-27 14:36:14,284:INFO:Calculating mean and std
- 2022-01-27 14:36:14,285:INFO:Creating metrics dataframe
- 2022-01-27 14:36:14,294:INFO:Finalizing model
- 2022-01-27 15:30:49,472:INFO:PyCaret Supervised Module
- 2022-01-27 15:30:49,472:INFO:ML Usecase: classification
- 2022-01-27 15:30:49,473:INFO:version 2.3.6
- 2022-01-27 15:30:49,473:INFO:Initializing setup()
- 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)
- 2022-01-27 15:30:49,473:INFO:Checking environment
- 2022-01-27 15:30:49,473:INFO:python_version: 3.8.8
- 2022-01-27 15:30:49,474:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-27 15:30:49,474:INFO:machine: x86_64
- 2022-01-27 15:30:49,474:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-27 15:30:49,475:INFO:Physical Core: 16
- 2022-01-27 15:30:49,475:INFO:Logical Core: 32
- 2022-01-27 15:30:49,475:INFO:Checking libraries
- 2022-01-27 15:30:49,475:INFO:pd==1.2.4
- 2022-01-27 15:30:49,476:INFO:numpy==1.19.5
- 2022-01-27 15:30:49,476:INFO:sklearn==0.23.2
- 2022-01-27 15:30:49,476:INFO:lightgbm==3.3.2
- 2022-01-27 15:30:49,477:WARNING:catboost not found
- 2022-01-27 15:30:49,486:INFO:xgboost==1.5.2
- 2022-01-27 15:30:49,609:INFO:mlflow==1.22.0
- 2022-01-27 15:30:49,610:INFO:Checking Exceptions
- 2022-01-27 15:30:49,610:INFO:Declaring global variables
- 2022-01-27 15:30:49,610:INFO:USI: 915f
- 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'}
- 2022-01-27 15:30:49,610:INFO:Preparing display monitor
- 2022-01-27 15:30:49,611:INFO:Preparing display monitor
- 2022-01-27 15:30:49,620:INFO:Importing libraries
- 2022-01-27 15:30:49,620:INFO:Copying data for preprocessing
- 2022-01-27 15:30:49,626:INFO:Declaring preprocessing parameters
- 2022-01-27 15:30:49,629:INFO:Creating preprocessing pipeline
- 2022-01-27 15:30:49,677:INFO:Preprocessing pipeline created successfully
- 2022-01-27 15:30:49,677:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-27 15:30:49,677:INFO:Creating global containers
- 2022-01-27 15:30:49,678:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-27 15:31:02,084:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 15:31:02,130:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 15:31:02,130:INFO:Creating grid variables
- 2022-01-27 15:31:02,140:INFO:create_model_container: 0
- 2022-01-27 15:31:02,140:INFO:master_model_container: 0
- 2022-01-27 15:31:02,140:INFO:display_container: 1
- 2022-01-27 15:31:02,143:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-27 15:31:02,143:INFO:setup() succesfully completed......................................
- 2022-01-27 15:31:02,291:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:31:02,292:INFO:Checking exceptions
- 2022-01-27 15:31:02,292:INFO:Preparing display monitor
- 2022-01-27 15:31:02,304:INFO:Importing libraries
- 2022-01-27 15:31:02,304:INFO:Copying training dataset
- 2022-01-27 15:31:02,305:INFO:Defining folds
- 2022-01-27 15:31:02,305:INFO:Declaring metric variables
- 2022-01-27 15:31:02,310:INFO:Importing untrained model
- 2022-01-27 15:31:02,316:INFO:Random Forest Classifier Imported succesfully
- 2022-01-27 15:31:02,327:INFO:Starting cross validation
- 2022-01-27 15:31:02,328:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:31:05,582:INFO:Calculating mean and std
- 2022-01-27 15:31:05,583:INFO:Creating metrics dataframe
- 2022-01-27 15:31:05,591:INFO:Finalizing model
- 2022-01-27 15:31:05,956:INFO:Uploading results into container
- 2022-01-27 15:31:05,957:INFO:Uploading model into container now
- 2022-01-27 15:31:05,968:INFO:create_model_container: 1
- 2022-01-27 15:31:05,968:INFO:master_model_container: 1
- 2022-01-27 15:31:05,968:INFO:display_container: 2
- 2022-01-27 15:31:05,968:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:31:05,969:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:28,474:INFO:Initializing compare_models()
- 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)
- 2022-01-27 15:35:28,475:INFO:Checking exceptions
- 2022-01-27 15:35:28,476:INFO:Preparing display monitor
- 2022-01-27 15:35:28,476:INFO:Preparing display monitor
- 2022-01-27 15:35:28,492:INFO:Initializing Logistic Regression
- 2022-01-27 15:35:28,493:INFO:Total runtime is 5.0067901611328125e-06 minutes
- 2022-01-27 15:35:28,498:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:28,498:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:28,499:INFO:Checking exceptions
- 2022-01-27 15:35:28,499:INFO:Importing libraries
- 2022-01-27 15:35:28,499:INFO:Copying training dataset
- 2022-01-27 15:35:28,501:INFO:Defining folds
- 2022-01-27 15:35:28,501:INFO:Declaring metric variables
- 2022-01-27 15:35:28,507:INFO:Importing untrained model
- 2022-01-27 15:35:28,512:INFO:Logistic Regression Imported succesfully
- 2022-01-27 15:35:28,522:INFO:Starting cross validation
- 2022-01-27 15:35:28,523:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:29,907:INFO:Calculating mean and std
- 2022-01-27 15:35:29,908:INFO:Creating metrics dataframe
- 2022-01-27 15:35:29,911:INFO:Uploading results into container
- 2022-01-27 15:35:29,911:INFO:Uploading model into container now
- 2022-01-27 15:35:29,911:INFO:create_model_container: 2
- 2022-01-27 15:35:29,912:INFO:master_model_container: 2
- 2022-01-27 15:35:29,912:INFO:display_container: 3
- 2022-01-27 15:35:29,912:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=8782, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-27 15:35:29,912:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:29,989:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:29,990:INFO:Creating metrics dataframe
- 2022-01-27 15:35:30,000:INFO:Initializing K Neighbors Classifier
- 2022-01-27 15:35:30,000:INFO:Total runtime is 0.025128372510274253 minutes
- 2022-01-27 15:35:30,006:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:30,006:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:30,006:INFO:Checking exceptions
- 2022-01-27 15:35:30,007:INFO:Importing libraries
- 2022-01-27 15:35:30,007:INFO:Copying training dataset
- 2022-01-27 15:35:30,008:INFO:Defining folds
- 2022-01-27 15:35:30,008:INFO:Declaring metric variables
- 2022-01-27 15:35:30,013:INFO:Importing untrained model
- 2022-01-27 15:35:30,018:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-27 15:35:30,027:INFO:Starting cross validation
- 2022-01-27 15:35:30,028:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:36,622:INFO:Calculating mean and std
- 2022-01-27 15:35:36,623:INFO:Creating metrics dataframe
- 2022-01-27 15:35:36,626:INFO:Uploading results into container
- 2022-01-27 15:35:36,626:INFO:Uploading model into container now
- 2022-01-27 15:35:36,626:INFO:create_model_container: 3
- 2022-01-27 15:35:36,626:INFO:master_model_container: 3
- 2022-01-27 15:35:36,626:INFO:display_container: 3
- 2022-01-27 15:35:36,627:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-27 15:35:36,627:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:36,697:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:36,697:INFO:Creating metrics dataframe
- 2022-01-27 15:35:36,707:INFO:Initializing Naive Bayes
- 2022-01-27 15:35:36,707:INFO:Total runtime is 0.13691695928573608 minutes
- 2022-01-27 15:35:36,713:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:36,713:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:36,714:INFO:Checking exceptions
- 2022-01-27 15:35:36,714:INFO:Importing libraries
- 2022-01-27 15:35:36,714:INFO:Copying training dataset
- 2022-01-27 15:35:36,715:INFO:Defining folds
- 2022-01-27 15:35:36,715:INFO:Declaring metric variables
- 2022-01-27 15:35:36,720:INFO:Importing untrained model
- 2022-01-27 15:35:36,725:INFO:Naive Bayes Imported succesfully
- 2022-01-27 15:35:36,736:INFO:Starting cross validation
- 2022-01-27 15:35:36,736:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:37,538:INFO:Calculating mean and std
- 2022-01-27 15:35:37,539:INFO:Creating metrics dataframe
- 2022-01-27 15:35:37,541:INFO:Uploading results into container
- 2022-01-27 15:35:37,542:INFO:Uploading model into container now
- 2022-01-27 15:35:37,542:INFO:create_model_container: 4
- 2022-01-27 15:35:37,542:INFO:master_model_container: 4
- 2022-01-27 15:35:37,542:INFO:display_container: 3
- 2022-01-27 15:35:37,542:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-27 15:35:37,542:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:37,612:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:37,613:INFO:Creating metrics dataframe
- 2022-01-27 15:35:37,623:INFO:Initializing Decision Tree Classifier
- 2022-01-27 15:35:37,623:INFO:Total runtime is 0.15218078692754108 minutes
- 2022-01-27 15:35:37,629:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:37,629:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:37,629:INFO:Checking exceptions
- 2022-01-27 15:35:37,630:INFO:Importing libraries
- 2022-01-27 15:35:37,630:INFO:Copying training dataset
- 2022-01-27 15:35:37,631:INFO:Defining folds
- 2022-01-27 15:35:37,631:INFO:Declaring metric variables
- 2022-01-27 15:35:37,636:INFO:Importing untrained model
- 2022-01-27 15:35:37,641:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-27 15:35:37,652:INFO:Starting cross validation
- 2022-01-27 15:35:37,652:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:37,909:INFO:Calculating mean and std
- 2022-01-27 15:35:37,910:INFO:Creating metrics dataframe
- 2022-01-27 15:35:37,913:INFO:Uploading results into container
- 2022-01-27 15:35:37,913:INFO:Uploading model into container now
- 2022-01-27 15:35:37,913:INFO:create_model_container: 5
- 2022-01-27 15:35:37,913:INFO:master_model_container: 5
- 2022-01-27 15:35:37,913:INFO:display_container: 3
- 2022-01-27 15:35:37,914:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=8782, splitter='best')
- 2022-01-27 15:35:37,914:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:37,983:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:37,984:INFO:Creating metrics dataframe
- 2022-01-27 15:35:37,994:INFO:Initializing SVM - Linear Kernel
- 2022-01-27 15:35:37,995:INFO:Total runtime is 0.15836788018544515 minutes
- 2022-01-27 15:35:38,000:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:38,000:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:38,000:INFO:Checking exceptions
- 2022-01-27 15:35:38,001:INFO:Importing libraries
- 2022-01-27 15:35:38,001:INFO:Copying training dataset
- 2022-01-27 15:35:38,002:INFO:Defining folds
- 2022-01-27 15:35:38,002:INFO:Declaring metric variables
- 2022-01-27 15:35:38,006:INFO:Importing untrained model
- 2022-01-27 15:35:38,011:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-27 15:35:38,021:INFO:Starting cross validation
- 2022-01-27 15:35:38,022:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:38,345:INFO:Calculating mean and std
- 2022-01-27 15:35:38,346:INFO:Creating metrics dataframe
- 2022-01-27 15:35:38,348:INFO:Uploading results into container
- 2022-01-27 15:35:38,348:INFO:Uploading model into container now
- 2022-01-27 15:35:38,349:INFO:create_model_container: 6
- 2022-01-27 15:35:38,349:INFO:master_model_container: 6
- 2022-01-27 15:35:38,349:INFO:display_container: 3
- 2022-01-27 15:35:38,349:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=8782, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-27 15:35:38,349:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:38,420:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:38,420:INFO:Creating metrics dataframe
- 2022-01-27 15:35:38,432:INFO:Initializing Ridge Classifier
- 2022-01-27 15:35:38,432:INFO:Total runtime is 0.16565462350845336 minutes
- 2022-01-27 15:35:38,437:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:38,437:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:38,438:INFO:Checking exceptions
- 2022-01-27 15:35:38,438:INFO:Importing libraries
- 2022-01-27 15:35:38,438:INFO:Copying training dataset
- 2022-01-27 15:35:38,439:INFO:Defining folds
- 2022-01-27 15:35:38,439:INFO:Declaring metric variables
- 2022-01-27 15:35:38,444:INFO:Importing untrained model
- 2022-01-27 15:35:38,449:INFO:Ridge Classifier Imported succesfully
- 2022-01-27 15:35:38,458:INFO:Starting cross validation
- 2022-01-27 15:35:38,458:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:38,614:INFO:Calculating mean and std
- 2022-01-27 15:35:38,615:INFO:Creating metrics dataframe
- 2022-01-27 15:35:38,617:INFO:Uploading results into container
- 2022-01-27 15:35:38,618:INFO:Uploading model into container now
- 2022-01-27 15:35:38,618:INFO:create_model_container: 7
- 2022-01-27 15:35:38,618:INFO:master_model_container: 7
- 2022-01-27 15:35:38,618:INFO:display_container: 3
- 2022-01-27 15:35:38,618:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=8782,
- solver='auto', tol=0.001)
- 2022-01-27 15:35:38,619:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:38,689:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:38,689:INFO:Creating metrics dataframe
- 2022-01-27 15:35:38,700:INFO:Initializing Random Forest Classifier
- 2022-01-27 15:35:38,700:INFO:Total runtime is 0.17012946605682372 minutes
- 2022-01-27 15:35:38,705:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:38,706:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:38,706:INFO:Checking exceptions
- 2022-01-27 15:35:38,706:INFO:Importing libraries
- 2022-01-27 15:35:38,706:INFO:Copying training dataset
- 2022-01-27 15:35:38,707:INFO:Defining folds
- 2022-01-27 15:35:38,707:INFO:Declaring metric variables
- 2022-01-27 15:35:38,712:INFO:Importing untrained model
- 2022-01-27 15:35:38,717:INFO:Random Forest Classifier Imported succesfully
- 2022-01-27 15:35:38,726:INFO:Starting cross validation
- 2022-01-27 15:35:38,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:40,748:INFO:Calculating mean and std
- 2022-01-27 15:35:40,749:INFO:Creating metrics dataframe
- 2022-01-27 15:35:40,751:INFO:Uploading results into container
- 2022-01-27 15:35:40,751:INFO:Uploading model into container now
- 2022-01-27 15:35:40,751:INFO:create_model_container: 8
- 2022-01-27 15:35:40,752:INFO:master_model_container: 8
- 2022-01-27 15:35:40,752:INFO:display_container: 3
- 2022-01-27 15:35:40,752:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:35:40,752:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:40,817:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:40,818:INFO:Creating metrics dataframe
- 2022-01-27 15:35:40,829:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-27 15:35:40,829:INFO:Total runtime is 0.20561089118321735 minutes
- 2022-01-27 15:35:40,834:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:40,835:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:40,835:INFO:Checking exceptions
- 2022-01-27 15:35:40,835:INFO:Importing libraries
- 2022-01-27 15:35:40,835:INFO:Copying training dataset
- 2022-01-27 15:35:40,836:INFO:Defining folds
- 2022-01-27 15:35:40,836:INFO:Declaring metric variables
- 2022-01-27 15:35:40,841:INFO:Importing untrained model
- 2022-01-27 15:35:40,846:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-27 15:35:40,856:INFO:Starting cross validation
- 2022-01-27 15:35:40,856:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:41,064:INFO:Calculating mean and std
- 2022-01-27 15:35:41,065:INFO:Creating metrics dataframe
- 2022-01-27 15:35:41,068:INFO:Uploading results into container
- 2022-01-27 15:35:41,068:INFO:Uploading model into container now
- 2022-01-27 15:35:41,068:INFO:create_model_container: 9
- 2022-01-27 15:35:41,068:INFO:master_model_container: 9
- 2022-01-27 15:35:41,068:INFO:display_container: 3
- 2022-01-27 15:35:41,069:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-27 15:35:41,069:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:41,136:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:41,136:INFO:Creating metrics dataframe
- 2022-01-27 15:35:41,147:INFO:Initializing Ada Boost Classifier
- 2022-01-27 15:35:41,148:INFO:Total runtime is 0.21091970205307006 minutes
- 2022-01-27 15:35:41,153:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:41,153:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:41,153:INFO:Checking exceptions
- 2022-01-27 15:35:41,154:INFO:Importing libraries
- 2022-01-27 15:35:41,154:INFO:Copying training dataset
- 2022-01-27 15:35:41,155:INFO:Defining folds
- 2022-01-27 15:35:41,155:INFO:Declaring metric variables
- 2022-01-27 15:35:41,159:INFO:Importing untrained model
- 2022-01-27 15:35:41,164:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-27 15:35:41,174:INFO:Starting cross validation
- 2022-01-27 15:35:41,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:42,235:INFO:Calculating mean and std
- 2022-01-27 15:35:42,236:INFO:Creating metrics dataframe
- 2022-01-27 15:35:42,238:INFO:Uploading results into container
- 2022-01-27 15:35:42,239:INFO:Uploading model into container now
- 2022-01-27 15:35:42,239:INFO:create_model_container: 10
- 2022-01-27 15:35:42,239:INFO:master_model_container: 10
- 2022-01-27 15:35:42,239:INFO:display_container: 3
- 2022-01-27 15:35:42,239:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=8782)
- 2022-01-27 15:35:42,240:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:42,305:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:42,305:INFO:Creating metrics dataframe
- 2022-01-27 15:35:42,317:INFO:Initializing Gradient Boosting Classifier
- 2022-01-27 15:35:42,317:INFO:Total runtime is 0.23041016658147176 minutes
- 2022-01-27 15:35:42,322:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:42,323:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:42,323:INFO:Checking exceptions
- 2022-01-27 15:35:42,323:INFO:Importing libraries
- 2022-01-27 15:35:42,323:INFO:Copying training dataset
- 2022-01-27 15:35:42,324:INFO:Defining folds
- 2022-01-27 15:35:42,324:INFO:Declaring metric variables
- 2022-01-27 15:35:42,329:INFO:Importing untrained model
- 2022-01-27 15:35:42,334:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-27 15:35:42,343:INFO:Starting cross validation
- 2022-01-27 15:35:42,344:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:45,760:INFO:Calculating mean and std
- 2022-01-27 15:35:45,761:INFO:Creating metrics dataframe
- 2022-01-27 15:35:45,764:INFO:Uploading results into container
- 2022-01-27 15:35:45,764:INFO:Uploading model into container now
- 2022-01-27 15:35:45,764:INFO:create_model_container: 11
- 2022-01-27 15:35:45,764:INFO:master_model_container: 11
- 2022-01-27 15:35:45,765:INFO:display_container: 3
- 2022-01-27 15:35:45,765:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=8782, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-27 15:35:45,765:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:45,832:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:45,832:INFO:Creating metrics dataframe
- 2022-01-27 15:35:45,844:INFO:Initializing Linear Discriminant Analysis
- 2022-01-27 15:35:45,844:INFO:Total runtime is 0.2891955057779948 minutes
- 2022-01-27 15:35:45,849:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:45,850:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:45,850:INFO:Checking exceptions
- 2022-01-27 15:35:45,850:INFO:Importing libraries
- 2022-01-27 15:35:45,850:INFO:Copying training dataset
- 2022-01-27 15:35:45,851:INFO:Defining folds
- 2022-01-27 15:35:45,851:INFO:Declaring metric variables
- 2022-01-27 15:35:45,856:INFO:Importing untrained model
- 2022-01-27 15:35:45,860:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-27 15:35:45,871:INFO:Starting cross validation
- 2022-01-27 15:35:45,871:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:46,122:INFO:Calculating mean and std
- 2022-01-27 15:35:46,123:INFO:Creating metrics dataframe
- 2022-01-27 15:35:46,126:INFO:Uploading results into container
- 2022-01-27 15:35:46,126:INFO:Uploading model into container now
- 2022-01-27 15:35:46,126:INFO:create_model_container: 12
- 2022-01-27 15:35:46,126:INFO:master_model_container: 12
- 2022-01-27 15:35:46,126:INFO:display_container: 3
- 2022-01-27 15:35:46,127:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-27 15:35:46,127:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:46,196:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:46,197:INFO:Creating metrics dataframe
- 2022-01-27 15:35:46,209:INFO:Initializing Extra Trees Classifier
- 2022-01-27 15:35:46,210:INFO:Total runtime is 0.2952850619951884 minutes
- 2022-01-27 15:35:46,215:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:46,215:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:46,216:INFO:Checking exceptions
- 2022-01-27 15:35:46,216:INFO:Importing libraries
- 2022-01-27 15:35:46,216:INFO:Copying training dataset
- 2022-01-27 15:35:46,217:INFO:Defining folds
- 2022-01-27 15:35:46,217:INFO:Declaring metric variables
- 2022-01-27 15:35:46,222:INFO:Importing untrained model
- 2022-01-27 15:35:46,227:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-27 15:35:46,238:INFO:Starting cross validation
- 2022-01-27 15:35:46,239:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:48,104:INFO:Calculating mean and std
- 2022-01-27 15:35:48,105:INFO:Creating metrics dataframe
- 2022-01-27 15:35:48,108:INFO:Uploading results into container
- 2022-01-27 15:35:48,109:INFO:Uploading model into container now
- 2022-01-27 15:35:48,109:INFO:create_model_container: 13
- 2022-01-27 15:35:48,109:INFO:master_model_container: 13
- 2022-01-27 15:35:48,109:INFO:display_container: 3
- 2022-01-27 15:35:48,110:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:35:48,110:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:48,192:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:48,192:INFO:Creating metrics dataframe
- 2022-01-27 15:35:48,208:INFO:Initializing Extreme Gradient Boosting
- 2022-01-27 15:35:48,209:INFO:Total runtime is 0.32860164642333983 minutes
- 2022-01-27 15:35:48,215:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:48,216:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:48,216:INFO:Checking exceptions
- 2022-01-27 15:35:48,216:INFO:Importing libraries
- 2022-01-27 15:35:48,216:INFO:Copying training dataset
- 2022-01-27 15:35:48,217:INFO:Defining folds
- 2022-01-27 15:35:48,218:INFO:Declaring metric variables
- 2022-01-27 15:35:48,223:INFO:Importing untrained model
- 2022-01-27 15:35:48,229:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 15:35:48,241:INFO:Starting cross validation
- 2022-01-27 15:35:48,242:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:44:33,915:INFO:Calculating mean and std
- 2022-01-27 15:44:33,917:INFO:Creating metrics dataframe
- 2022-01-27 15:44:33,923:INFO:Uploading results into container
- 2022-01-27 15:44:33,923:INFO:Uploading model into container now
- 2022-01-27 15:44:33,924:INFO:create_model_container: 14
- 2022-01-27 15:44:33,924:INFO:master_model_container: 14
- 2022-01-27 15:44:33,925:INFO:display_container: 3
- 2022-01-27 15:44:33,926:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
- colsample_bynode=None, colsample_bytree=None,
- enable_categorical=False, gamma=None, gpu_id=None,
- importance_type=None, interaction_constraints=None,
- learning_rate=None, max_delta_step=None, max_depth=None,
- min_child_weight=None, missing=nan, monotone_constraints=None,
- n_estimators=100, n_jobs=-1, num_parallel_tree=None,
- objective='binary:logistic', predictor=None, random_state=8782,
- reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
- subsample=None, tree_method='auto', use_label_encoder=True,
- validate_parameters=None, verbosity=0)
- 2022-01-27 15:44:33,926:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:44:34,032:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:44:34,032:INFO:Creating metrics dataframe
- 2022-01-27 15:44:34,045:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-27 15:44:34,045:INFO:Total runtime is 9.092548799514772 minutes
- 2022-01-27 15:44:34,051:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:44:34,051:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:44:34,052:INFO:Checking exceptions
- 2022-01-27 15:44:34,052:INFO:Importing libraries
- 2022-01-27 15:44:34,052:INFO:Copying training dataset
- 2022-01-27 15:44:34,053:INFO:Defining folds
- 2022-01-27 15:44:34,053:INFO:Declaring metric variables
- 2022-01-27 15:44:34,057:INFO:Importing untrained model
- 2022-01-27 15:44:34,063:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-27 15:44:34,073:INFO:Starting cross validation
- 2022-01-27 15:44:34,074:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:44:35,101:INFO:Calculating mean and std
- 2022-01-27 15:44:35,102:INFO:Creating metrics dataframe
- 2022-01-27 15:44:35,105:INFO:Uploading results into container
- 2022-01-27 15:44:35,105:INFO:Uploading model into container now
- 2022-01-27 15:44:35,105:INFO:create_model_container: 15
- 2022-01-27 15:44:35,106:INFO:master_model_container: 15
- 2022-01-27 15:44:35,106:INFO:display_container: 3
- 2022-01-27 15:44:35,106:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-27 15:44:35,106:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:44:35,187:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:44:35,188:INFO:Creating metrics dataframe
- 2022-01-27 15:44:35,202:INFO:Initializing Dummy Classifier
- 2022-01-27 15:44:35,203:INFO:Total runtime is 9.111837255954743 minutes
- 2022-01-27 15:44:35,208:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:44:35,209:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:44:35,209:INFO:Checking exceptions
- 2022-01-27 15:44:35,209:INFO:Importing libraries
- 2022-01-27 15:44:35,209:INFO:Copying training dataset
- 2022-01-27 15:44:35,211:INFO:Defining folds
- 2022-01-27 15:44:35,212:INFO:Declaring metric variables
- 2022-01-27 15:44:35,217:INFO:Importing untrained model
- 2022-01-27 15:44:35,221:INFO:Dummy Classifier Imported succesfully
- 2022-01-27 15:44:35,232:INFO:Starting cross validation
- 2022-01-27 15:44:35,233:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:44:36,285:INFO:Calculating mean and std
- 2022-01-27 15:44:36,286:INFO:Creating metrics dataframe
- 2022-01-27 15:44:36,289:INFO:Uploading results into container
- 2022-01-27 15:44:36,289:INFO:Uploading model into container now
- 2022-01-27 15:44:36,290:INFO:create_model_container: 16
- 2022-01-27 15:44:36,290:INFO:master_model_container: 16
- 2022-01-27 15:44:36,290:INFO:display_container: 3
- 2022-01-27 15:44:36,290:INFO:DummyClassifier(constant=None, random_state=8782, strategy='prior')
- 2022-01-27 15:44:36,290:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:44:36,365:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:44:36,366:INFO:Creating metrics dataframe
- 2022-01-27 15:44:36,392:INFO:Initializing create_model()
- 2022-01-27 15:44:36,392:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=8782, verbose=0,
- 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={})
- 2022-01-27 15:44:36,392:INFO:Checking exceptions
- 2022-01-27 15:44:36,393:INFO:Importing libraries
- 2022-01-27 15:44:36,393:INFO:Copying training dataset
- 2022-01-27 15:44:36,394:INFO:Defining folds
- 2022-01-27 15:44:36,394:INFO:Declaring metric variables
- 2022-01-27 15:44:36,394:INFO:Importing untrained model
- 2022-01-27 15:44:36,394:INFO:Declaring custom model
- 2022-01-27 15:44:36,395:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-27 15:44:36,395:INFO:Cross validation set to False
- 2022-01-27 15:44:36,395:INFO:Fitting Model
- 2022-01-27 15:44:36,713:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:44:36,714:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:36,797:INFO:Initializing create_model()
- 2022-01-27 15:44:36,798:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- 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={})
- 2022-01-27 15:44:36,798:INFO:Checking exceptions
- 2022-01-27 15:44:36,798:INFO:Importing libraries
- 2022-01-27 15:44:36,798:INFO:Copying training dataset
- 2022-01-27 15:44:36,799:INFO:Defining folds
- 2022-01-27 15:44:36,799:INFO:Declaring metric variables
- 2022-01-27 15:44:36,799:INFO:Importing untrained model
- 2022-01-27 15:44:36,800:INFO:Declaring custom model
- 2022-01-27 15:44:36,800:INFO:Random Forest Classifier Imported succesfully
- 2022-01-27 15:44:36,800:INFO:Cross validation set to False
- 2022-01-27 15:44:36,801:INFO:Fitting Model
- 2022-01-27 15:44:37,199:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:44:37,199:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:37,277:INFO:Initializing create_model()
- 2022-01-27 15:44:37,278:INFO:create_model(estimator=XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
- colsample_bynode=None, colsample_bytree=None,
- enable_categorical=False, gamma=None, gpu_id=None,
- importance_type=None, interaction_constraints=None,
- learning_rate=None, max_delta_step=None, max_depth=None,
- min_child_weight=None, missing=nan, monotone_constraints=None,
- n_estimators=100, n_jobs=-1, num_parallel_tree=None,
- objective='binary:logistic', predictor=None, random_state=8782,
- reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
- subsample=None, tree_method='auto', use_label_encoder=True,
- 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={})
- 2022-01-27 15:44:37,278:INFO:Checking exceptions
- 2022-01-27 15:44:37,278:INFO:Importing libraries
- 2022-01-27 15:44:37,278:INFO:Copying training dataset
- 2022-01-27 15:44:37,279:INFO:Defining folds
- 2022-01-27 15:44:37,279:INFO:Declaring metric variables
- 2022-01-27 15:44:37,279:INFO:Importing untrained model
- 2022-01-27 15:44:37,279:INFO:Declaring custom model
- 2022-01-27 15:44:37,280:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 15:44:37,281:INFO:Cross validation set to False
- 2022-01-27 15:44:37,281:INFO:Fitting Model
- 2022-01-27 15:44:37,826:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8782, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-01-27 15:44:37,826:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:37,897:INFO:Initializing create_model()
- 2022-01-27 15:44:37,897:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-27 15:44:37,897:INFO:Checking exceptions
- 2022-01-27 15:44:37,897:INFO:Importing libraries
- 2022-01-27 15:44:37,897:INFO:Copying training dataset
- 2022-01-27 15:44:37,898:INFO:Defining folds
- 2022-01-27 15:44:37,898:INFO:Declaring metric variables
- 2022-01-27 15:44:37,898:INFO:Importing untrained model
- 2022-01-27 15:44:37,898:INFO:Declaring custom model
- 2022-01-27 15:44:37,899:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-27 15:44:37,900:INFO:Cross validation set to False
- 2022-01-27 15:44:37,900:INFO:Fitting Model
- 2022-01-27 15:44:38,355:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-27 15:44:38,355:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:38,428:INFO:Initializing create_model()
- 2022-01-27 15:44:38,428:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-27 15:44:38,428:INFO:Checking exceptions
- 2022-01-27 15:44:38,428:INFO:Importing libraries
- 2022-01-27 15:44:38,428:INFO:Copying training dataset
- 2022-01-27 15:44:38,429:INFO:Defining folds
- 2022-01-27 15:44:38,429:INFO:Declaring metric variables
- 2022-01-27 15:44:38,429:INFO:Importing untrained model
- 2022-01-27 15:44:38,430:INFO:Declaring custom model
- 2022-01-27 15:44:38,430:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-27 15:44:38,430:INFO:Cross validation set to False
- 2022-01-27 15:44:38,431:INFO:Fitting Model
- 2022-01-27 15:44:38,538:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=8782, splitter='best')
- 2022-01-27 15:44:38,538:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:38,613:INFO:Initializing create_model()
- 2022-01-27 15:44:38,613:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-27 15:44:38,613:INFO:Checking exceptions
- 2022-01-27 15:44:38,614:INFO:Importing libraries
- 2022-01-27 15:44:38,614:INFO:Copying training dataset
- 2022-01-27 15:44:38,614:INFO:Defining folds
- 2022-01-27 15:44:38,614:INFO:Declaring metric variables
- 2022-01-27 15:44:38,615:INFO:Importing untrained model
- 2022-01-27 15:44:38,615:INFO:Declaring custom model
- 2022-01-27 15:44:38,615:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-27 15:44:38,615:INFO:Cross validation set to False
- 2022-01-27 15:44:38,616:INFO:Fitting Model
- 2022-01-27 15:44:39,477:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-27 15:44:39,478:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:39,571:INFO:create_model_container: 16
- 2022-01-27 15:44:39,572:INFO:master_model_container: 16
- 2022-01-27 15:44:39,572:INFO:display_container: 3
- 2022-01-27 15:44:39,574:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=8782, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- warm_start=False), XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8782, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- use_label_encoder=True, validate_parameters=1, verbosity=0), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=8782, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')]
- 2022-01-27 15:44:39,574:INFO:compare_models() succesfully completed......................................
- 2022-01-27 17:09:17,601:INFO:PyCaret Supervised Module
- 2022-01-27 17:09:17,601:INFO:ML Usecase: classification
- 2022-01-27 17:09:17,602:INFO:version 2.3.6
- 2022-01-27 17:09:17,602:INFO:Initializing setup()
- 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)
- 2022-01-27 17:09:17,602:INFO:Checking environment
- 2022-01-27 17:09:17,602:INFO:python_version: 3.8.8
- 2022-01-27 17:09:17,603:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-27 17:09:17,603:INFO:machine: x86_64
- 2022-01-27 17:09:17,603:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-27 17:09:17,604:INFO:Physical Core: 16
- 2022-01-27 17:09:17,604:INFO:Logical Core: 32
- 2022-01-27 17:09:17,604:INFO:Checking libraries
- 2022-01-27 17:09:17,604:INFO:pd==1.2.4
- 2022-01-27 17:09:17,605:INFO:numpy==1.19.5
- 2022-01-27 17:09:17,605:INFO:sklearn==0.23.2
- 2022-01-27 17:09:17,605:INFO:lightgbm==3.3.2
- 2022-01-27 17:09:17,605:WARNING:catboost not found
- 2022-01-27 17:09:17,614:INFO:xgboost==1.5.2
- 2022-01-27 17:09:17,739:INFO:mlflow==1.22.0
- 2022-01-27 17:09:17,740:INFO:Checking Exceptions
- 2022-01-27 17:09:17,740:INFO:Declaring global variables
- 2022-01-27 17:09:17,740:INFO:USI: b2ab
- 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'}
- 2022-01-27 17:09:17,741:INFO:Preparing display monitor
- 2022-01-27 17:09:17,741:INFO:Preparing display monitor
- 2022-01-27 17:09:17,751:INFO:Importing libraries
- 2022-01-27 17:09:17,752:INFO:Copying data for preprocessing
- 2022-01-27 17:09:17,758:INFO:Declaring preprocessing parameters
- 2022-01-27 17:09:17,759:WARNING:cuML not found
- 2022-01-27 17:09:17,759:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-27 17:09:17,763:INFO:Creating preprocessing pipeline
- 2022-01-27 17:09:17,809:INFO:Preprocessing pipeline created successfully
- 2022-01-27 17:09:17,809:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-27 17:09:17,809:INFO:Creating global containers
- 2022-01-27 17:09:17,810:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-27 17:09:19,896:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 17:09:19,924:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 17:09:19,925:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 17:09:19,926:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 17:09:19,943:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 17:09:19,946:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 17:09:19,957:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 17:09:19,958:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 17:09:19,988:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 17:09:19,988:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 17:09:19,989:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 17:09:20,003:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 17:09:20,006:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 17:09:20,013:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 17:09:20,014:INFO:Creating grid variables
- 2022-01-27 17:09:20,025:INFO:create_model_container: 0
- 2022-01-27 17:09:20,026:INFO:master_model_container: 0
- 2022-01-27 17:09:20,026:INFO:display_container: 1
- 2022-01-27 17:09:20,029:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-27 17:09:20,029:INFO:setup() succesfully completed......................................
- 2022-01-27 17:09:26,719:INFO:Initializing create_model()
- 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={})
- 2022-01-27 17:09:26,720:INFO:Checking exceptions
- 2022-01-27 17:09:26,720:INFO:Preparing display monitor
- 2022-01-27 17:09:26,730:INFO:Importing libraries
- 2022-01-27 17:09:26,731:INFO:Copying training dataset
- 2022-01-27 17:09:26,732:INFO:Defining folds
- 2022-01-27 17:09:26,732:INFO:Declaring metric variables
- 2022-01-27 17:09:26,737:INFO:Importing untrained model
- 2022-01-27 17:09:26,742:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 17:09:26,752:INFO:Starting cross validation
- 2022-01-27 17:09:26,753:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-27 17:09:27,273:INFO:Calculating mean and std
- 2022-01-27 17:09:27,274:INFO:Creating metrics dataframe
- 2022-01-27 17:09:27,282:INFO:Finalizing model
- 2022-02-04 13:23:28,725:INFO:PyCaret Supervised Module
- 2022-02-04 13:23:28,725:INFO:ML Usecase: classification
- 2022-02-04 13:23:28,725:INFO:version 2.3.6
- 2022-02-04 13:23:28,726:INFO:Initializing setup()
- 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)
- 2022-02-04 13:23:28,726:INFO:Checking environment
- 2022-02-04 13:23:28,726:INFO:python_version: 3.8.8
- 2022-02-04 13:23:28,726:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-04 13:23:28,726:INFO:machine: x86_64
- 2022-02-04 13:23:28,727:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-04 13:23:28,729:INFO:Physical Core: 16
- 2022-02-04 13:23:28,729:INFO:Logical Core: 32
- 2022-02-04 13:23:28,729:INFO:Checking libraries
- 2022-02-04 13:23:28,729:INFO:pd==1.2.4
- 2022-02-04 13:23:28,729:INFO:numpy==1.19.5
- 2022-02-04 13:23:28,729:INFO:sklearn==0.23.2
- 2022-02-04 13:23:28,730:INFO:lightgbm==3.3.2
- 2022-02-04 13:23:28,730:WARNING:catboost not found
- 2022-02-04 13:23:28,779:INFO:xgboost==1.5.2
- 2022-02-04 13:23:28,980:INFO:mlflow==1.22.0
- 2022-02-04 13:23:28,981:INFO:Checking Exceptions
- 2022-02-04 13:23:28,981:INFO:Declaring global variables
- 2022-02-04 13:23:28,981:INFO:USI: f076
- 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'}
- 2022-02-04 13:23:28,982:INFO:Preparing display monitor
- 2022-02-04 13:23:28,982:INFO:Preparing display monitor
- 2022-02-04 13:23:28,992:INFO:Importing libraries
- 2022-02-04 13:23:28,992:INFO:Copying data for preprocessing
- 2022-02-04 13:23:29,000:INFO:Declaring preprocessing parameters
- 2022-02-04 13:23:29,001:WARNING:cuML not found
- 2022-02-04 13:23:29,001:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 13:23:29,008:INFO:Creating preprocessing pipeline
- 2022-02-04 13:23:29,115:INFO:Preprocessing pipeline created successfully
- 2022-02-04 13:23:29,115:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 13:23:29,116:INFO:Creating global containers
- 2022-02-04 13:23:29,117:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 13:23:39,201:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 13:23:39,227:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 13:23:39,229:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 13:23:39,230:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 13:23:39,247:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 13:23:39,250:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 13:23:39,275:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-04 13:23:39,276:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 13:23:39,305:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 13:23:39,306:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 13:23:39,307:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 13:23:39,320:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 13:23:39,323:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 13:23:39,330:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-04 13:23:39,331:INFO:Creating grid variables
- 2022-02-04 13:23:39,344:INFO:create_model_container: 0
- 2022-02-04 13:23:39,344:INFO:master_model_container: 0
- 2022-02-04 13:23:39,345:INFO:display_container: 1
- 2022-02-04 13:23:39,347:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 13:23:39,348:INFO:setup() succesfully completed......................................
- 2022-02-04 13:23:57,781:INFO:Initializing create_model()
- 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={})
- 2022-02-04 13:23:57,781:INFO:Checking exceptions
- 2022-02-04 13:23:57,782:INFO:Preparing display monitor
- 2022-02-04 13:23:57,793:INFO:Importing libraries
- 2022-02-04 13:23:57,793:INFO:Copying training dataset
- 2022-02-04 13:23:57,794:INFO:Defining folds
- 2022-02-04 13:23:57,795:INFO:Declaring metric variables
- 2022-02-04 13:23:57,799:INFO:Importing untrained model
- 2022-02-04 13:23:57,805:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 13:23:57,817:INFO:Starting cross validation
- 2022-02-04 13:23:57,818:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 13:23:59,549:INFO:Calculating mean and std
- 2022-02-04 13:23:59,550:INFO:Creating metrics dataframe
- 2022-02-04 13:23:59,558:INFO:Finalizing model
- 2022-02-04 13:24:13,940:INFO:PyCaret Supervised Module
- 2022-02-04 13:24:13,941:INFO:ML Usecase: classification
- 2022-02-04 13:24:13,941:INFO:version 2.3.6
- 2022-02-04 13:24:13,941:INFO:Initializing setup()
- 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)
- 2022-02-04 13:24:13,942:INFO:Checking environment
- 2022-02-04 13:24:13,942:INFO:python_version: 3.8.8
- 2022-02-04 13:24:13,942:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-04 13:24:13,942:INFO:machine: x86_64
- 2022-02-04 13:24:13,942:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-04 13:24:13,943:INFO:Physical Core: 16
- 2022-02-04 13:24:13,943:INFO:Logical Core: 32
- 2022-02-04 13:24:13,943:INFO:Checking libraries
- 2022-02-04 13:24:13,944:INFO:pd==1.2.4
- 2022-02-04 13:24:13,944:INFO:numpy==1.19.5
- 2022-02-04 13:24:13,944:INFO:sklearn==0.23.2
- 2022-02-04 13:24:13,944:INFO:lightgbm==3.3.2
- 2022-02-04 13:24:13,945:WARNING:catboost not found
- 2022-02-04 13:24:13,945:INFO:xgboost==1.5.2
- 2022-02-04 13:24:13,945:INFO:mlflow==1.22.0
- 2022-02-04 13:24:13,945:INFO:Checking Exceptions
- 2022-02-04 13:24:13,945:INFO:Declaring global variables
- 2022-02-04 13:24:13,946:INFO:USI: af72
- 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'}
- 2022-02-04 13:24:13,946:INFO:Preparing display monitor
- 2022-02-04 13:24:13,946:INFO:Preparing display monitor
- 2022-02-04 13:24:13,953:INFO:Importing libraries
- 2022-02-04 13:24:13,954:INFO:Copying data for preprocessing
- 2022-02-04 13:24:13,963:INFO:Declaring preprocessing parameters
- 2022-02-04 13:24:13,970:INFO:Creating preprocessing pipeline
- 2022-02-04 13:24:14,078:INFO:Preprocessing pipeline created successfully
- 2022-02-04 13:24:14,078:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 13:24:14,079:INFO:Creating global containers
- 2022-02-04 13:24:14,079:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 13:24:16,488:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-04 13:24:16,533:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-04 13:24:16,534:INFO:Creating grid variables
- 2022-02-04 13:24:16,544:INFO:create_model_container: 0
- 2022-02-04 13:24:16,545:INFO:master_model_container: 0
- 2022-02-04 13:24:16,545:INFO:display_container: 1
- 2022-02-04 13:24:16,547:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 13:24:16,548:INFO:setup() succesfully completed......................................
- 2022-02-04 13:24:19,470:INFO:Initializing create_model()
- 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={})
- 2022-02-04 13:24:19,470:INFO:Checking exceptions
- 2022-02-04 13:24:19,470:INFO:Preparing display monitor
- 2022-02-04 13:24:19,481:INFO:Importing libraries
- 2022-02-04 13:24:19,481:INFO:Copying training dataset
- 2022-02-04 13:24:19,482:INFO:Defining folds
- 2022-02-04 13:24:19,482:INFO:Declaring metric variables
- 2022-02-04 13:24:19,487:INFO:Importing untrained model
- 2022-02-04 13:24:19,493:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 13:24:19,503:INFO:Starting cross validation
- 2022-02-04 13:24:19,504:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-02-04 13:32:39,897:INFO:Calculating mean and std
- 2022-02-04 13:32:39,898:INFO:Creating metrics dataframe
- 2022-02-04 13:32:39,907:INFO:Finalizing model
- 2022-02-04 13:32:40,434:INFO:Uploading results into container
- 2022-02-04 13:32:40,435:INFO:Uploading model into container now
- 2022-02-04 13:32:40,446:INFO:create_model_container: 1
- 2022-02-04 13:32:40,446:INFO:master_model_container: 1
- 2022-02-04 13:32:40,446:INFO:display_container: 2
- 2022-02-04 13:32:40,447:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1638, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-02-04 13:32:40,448:INFO:create_model() succesfully completed......................................
- 2022-02-04 14:56:39,483:INFO:PyCaret Supervised Module
- 2022-02-04 14:56:39,484:INFO:ML Usecase: classification
- 2022-02-04 14:56:39,484:INFO:version 2.3.6
- 2022-02-04 14:56:39,484:INFO:Initializing setup()
- 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)
- 2022-02-04 14:56:39,484:INFO:Checking environment
- 2022-02-04 14:56:39,484:INFO:python_version: 3.8.12
- 2022-02-04 14:56:39,484:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 14:56:39,484:INFO:machine: AMD64
- 2022-02-04 14:56:39,484:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 14:56:39,484:INFO:Memory: svmem(total=68629372928, available=45983227904, percent=33.0, used=22646145024, free=45983227904)
- 2022-02-04 14:56:39,484:INFO:Physical Core: 16
- 2022-02-04 14:56:39,484:INFO:Logical Core: 32
- 2022-02-04 14:56:39,484:INFO:Checking libraries
- 2022-02-04 14:56:39,484:INFO:pd==1.3.5
- 2022-02-04 14:56:39,484:INFO:numpy==1.21.5
- 2022-02-04 14:56:39,484:INFO:sklearn==0.23.2
- 2022-02-04 14:56:39,485:INFO:lightgbm==3.3.2
- 2022-02-04 14:56:39,675:INFO:catboost==1.0.4
- 2022-02-04 14:56:39,983:INFO:xgboost==1.5.2
- 2022-02-04 14:56:40,534:INFO:mlflow==1.23.1
- 2022-02-04 14:56:40,534:INFO:Checking Exceptions
- 2022-02-04 14:56:40,534:INFO:Declaring global variables
- 2022-02-04 14:56:40,534:INFO:USI: afb4
- 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'}
- 2022-02-04 14:56:40,535:INFO:Preparing display monitor
- 2022-02-04 14:56:40,535:INFO:Preparing display monitor
- 2022-02-04 14:56:40,546:INFO:Importing libraries
- 2022-02-04 14:56:40,546:INFO:Copying data for preprocessing
- 2022-02-04 14:56:40,552:INFO:Declaring preprocessing parameters
- 2022-02-04 14:56:40,553:WARNING:cuML not found
- 2022-02-04 14:56:40,553:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 14:56:40,559:INFO:Creating preprocessing pipeline
- 2022-02-04 14:56:40,687:INFO:Preprocessing pipeline created successfully
- 2022-02-04 14:56:40,687:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 14:56:40,687:INFO:Creating global containers
- 2022-02-04 14:56:40,688:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 14:56:42,302:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 14:56:42,335:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 14:56:42,337:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 14:56:42,338:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 14:56:42,358:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 14:56:42,363:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 14:56:45,062:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 14:56:45,123:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 14:56:45,124:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 14:56:45,125:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 14:56:45,155:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 14:56:45,160:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 14:56:45,382:INFO:Creating grid variables
- 2022-02-04 14:56:45,399:INFO:create_model_container: 0
- 2022-02-04 14:56:45,399:INFO:master_model_container: 0
- 2022-02-04 14:56:45,399:INFO:display_container: 1
- 2022-02-04 14:56:45,406:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 14:56:45,406:INFO:setup() succesfully completed......................................
- 2022-02-04 14:56:53,408:INFO:Initializing create_model()
- 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={})
- 2022-02-04 14:56:53,409:INFO:Checking exceptions
- 2022-02-04 14:56:53,409:INFO:Preparing display monitor
- 2022-02-04 14:56:53,419:INFO:Importing libraries
- 2022-02-04 14:56:53,419:INFO:Copying training dataset
- 2022-02-04 14:56:53,420:INFO:Defining folds
- 2022-02-04 14:56:53,421:INFO:Declaring metric variables
- 2022-02-04 14:56:53,425:INFO:Importing untrained model
- 2022-02-04 14:56:53,430:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 14:56:53,440:INFO:Starting cross validation
- 2022-02-04 14:56:53,441:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 14:57:44,023:INFO:Calculating mean and std
- 2022-02-04 14:57:44,024:INFO:Creating metrics dataframe
- 2022-02-04 14:57:44,034:INFO:Finalizing model
- 2022-02-04 14:57:44,521:INFO:Uploading results into container
- 2022-02-04 14:57:44,521:INFO:Uploading model into container now
- 2022-02-04 14:57:44,529:INFO:create_model_container: 1
- 2022-02-04 14:57:44,529:INFO:master_model_container: 1
- 2022-02-04 14:57:44,529:INFO:display_container: 2
- 2022-02-04 14:57:44,531:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-02-04 14:57:44,531:INFO:create_model() succesfully completed......................................
- 2022-02-04 14:57:56,245:INFO:Initializing tune_model()
- 2022-02-04 14:57:56,246:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-04 14:57:56,246:INFO:Checking exceptions
- 2022-02-04 14:57:56,247:INFO:Preparing display monitor
- 2022-02-04 14:57:56,257:INFO:Copying training dataset
- 2022-02-04 14:57:56,258:INFO:Checking base model
- 2022-02-04 14:57:56,258:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 14:57:56,265:INFO:Declaring metric variables
- 2022-02-04 14:57:56,270:INFO:Defining Hyperparameters
- 2022-02-04 14:57:56,367:INFO:Tuning with n_jobs=1
- 2022-02-04 14:57:56,367:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 14:59:13,395:INFO:Hyperparameter search completed
- 2022-02-04 14:59:13,395:INFO:SubProcess create_model() called ==================================
- 2022-02-04 14:59:13,396:INFO:Initializing create_model()
- 2022-02-04 14:59:13,396:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-04 14:59:13,396:INFO:Checking exceptions
- 2022-02-04 14:59:13,396:INFO:Importing libraries
- 2022-02-04 14:59:13,396:INFO:Copying training dataset
- 2022-02-04 14:59:13,397:INFO:Defining folds
- 2022-02-04 14:59:13,397:INFO:Declaring metric variables
- 2022-02-04 14:59:13,404:INFO:Importing untrained model
- 2022-02-04 14:59:13,404:INFO:Declaring custom model
- 2022-02-04 14:59:13,412:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 14:59:13,425:INFO:Starting cross validation
- 2022-02-04 14:59:13,426:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 14:59:29,670:INFO:Calculating mean and std
- 2022-02-04 14:59:29,671:INFO:Creating metrics dataframe
- 2022-02-04 14:59:29,681:INFO:Finalizing model
- 2022-02-04 14:59:31,288:INFO:Uploading results into container
- 2022-02-04 14:59:31,288:INFO:Uploading model into container now
- 2022-02-04 14:59:31,288:INFO:create_model_container: 2
- 2022-02-04 14:59:31,288:INFO:master_model_container: 2
- 2022-02-04 14:59:31,288:INFO:display_container: 3
- 2022-02-04 14:59:31,289:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0)
- 2022-02-04 14:59:31,289:INFO:create_model() succesfully completed......................................
- 2022-02-04 14:59:31,383:INFO:SubProcess create_model() end ==================================
- 2022-02-04 14:59:31,391:INFO:create_model_container: 2
- 2022-02-04 14:59:31,391:INFO:master_model_container: 2
- 2022-02-04 14:59:31,391:INFO:display_container: 3
- 2022-02-04 14:59:31,392:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0)
- 2022-02-04 14:59:31,392:INFO:tune_model() succesfully completed......................................
- 2022-02-04 15:00:22,756:INFO:Initializing evaluate_model()
- 2022-02-04 15:00:22,756:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-04 15:00:22,770:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:00:22,770:INFO:Checking exceptions
- 2022-02-04 15:00:22,772:INFO:Preparing display monitor
- 2022-02-04 15:00:22,776:INFO:Preloading libraries
- 2022-02-04 15:00:22,834:INFO:Copying training dataset
- 2022-02-04 15:00:22,835:INFO:Copying test dataset
- 2022-02-04 15:00:22,835:INFO:Plot type: parameter
- 2022-02-04 15:00:22,843:INFO:Visual Rendered Successfully
- 2022-02-04 15:00:22,946:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:00:26,885:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:00:26,885:INFO:Checking exceptions
- 2022-02-04 15:00:26,886:INFO:Preparing display monitor
- 2022-02-04 15:00:26,890:INFO:Preloading libraries
- 2022-02-04 15:00:26,946:INFO:Copying training dataset
- 2022-02-04 15:00:26,947:INFO:Copying test dataset
- 2022-02-04 15:00:26,947:INFO:Plot type: auc
- 2022-02-04 15:00:26,950:INFO:Initializing get_config()
- 2022-02-04 15:00:26,950:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:00:26,954:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:00:26,954:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:00:26,966:INFO:Fitting Model
- 2022-02-04 15:00:26,967:INFO:Scoring test/hold-out set
- 2022-02-04 15:00:27,133:INFO:Visual Rendered Successfully
- 2022-02-04 15:00:27,226:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:00:29,437:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- 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)
- 2022-02-04 15:00:29,437:INFO:Checking exceptions
- 2022-02-04 15:00:29,439:INFO:Preparing display monitor
- 2022-02-04 15:00:29,443:INFO:Preloading libraries
- 2022-02-04 15:00:29,498:INFO:Copying training dataset
- 2022-02-04 15:00:29,499:INFO:Copying test dataset
- 2022-02-04 15:00:29,499:INFO:Plot type: confusion_matrix
- 2022-02-04 15:00:29,503:INFO:Initializing get_config()
- 2022-02-04 15:00:29,503:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:00:29,506:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:00:29,506:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:00:29,515:INFO:Fitting Model
- 2022-02-04 15:00:29,516:INFO:Scoring test/hold-out set
- 2022-02-04 15:00:29,660:INFO:Visual Rendered Successfully
- 2022-02-04 15:00:29,758:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:00:31,562:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:00:31,562:INFO:Checking exceptions
- 2022-02-04 15:00:31,563:INFO:Preparing display monitor
- 2022-02-04 15:00:31,567:INFO:Preloading libraries
- 2022-02-04 15:00:31,624:INFO:Copying training dataset
- 2022-02-04 15:00:31,624:INFO:Copying test dataset
- 2022-02-04 15:00:31,625:INFO:Plot type: threshold
- 2022-02-04 15:00:31,636:INFO:Fitting Model
- 2022-02-04 15:01:50,474:INFO:Scoring test/hold-out set
- 2022-02-04 15:01:50,804:INFO:Visual Rendered Successfully
- 2022-02-04 15:01:50,901:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:02:39,447:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:02:39,447:INFO:Checking exceptions
- 2022-02-04 15:02:39,448:INFO:Preparing display monitor
- 2022-02-04 15:02:39,452:INFO:Preloading libraries
- 2022-02-04 15:02:39,509:INFO:Copying training dataset
- 2022-02-04 15:02:39,510:INFO:Copying test dataset
- 2022-02-04 15:02:39,510:INFO:Plot type: pr
- 2022-02-04 15:02:39,521:INFO:Fitting Model
- 2022-02-04 15:02:39,523:INFO:Scoring test/hold-out set
- 2022-02-04 15:02:39,663:INFO:Visual Rendered Successfully
- 2022-02-04 15:02:39,761:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:02:43,303:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:02:43,303:INFO:Checking exceptions
- 2022-02-04 15:02:43,304:INFO:Preparing display monitor
- 2022-02-04 15:02:43,308:INFO:Preloading libraries
- 2022-02-04 15:02:43,364:INFO:Copying training dataset
- 2022-02-04 15:02:43,365:INFO:Copying test dataset
- 2022-02-04 15:02:43,366:INFO:Plot type: error
- 2022-02-04 15:02:43,369:INFO:Initializing get_config()
- 2022-02-04 15:02:43,369:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:02:43,372:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:02:43,372:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:02:43,380:INFO:Fitting Model
- 2022-02-04 15:02:43,382:INFO:Scoring test/hold-out set
- 2022-02-04 15:02:43,517:INFO:Visual Rendered Successfully
- 2022-02-04 15:02:43,618:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:03:07,546:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- 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)
- 2022-02-04 15:03:07,546:INFO:Checking exceptions
- 2022-02-04 15:03:07,548:INFO:Preparing display monitor
- 2022-02-04 15:03:07,553:INFO:Preloading libraries
- 2022-02-04 15:03:07,611:INFO:Copying training dataset
- 2022-02-04 15:03:07,612:INFO:Copying test dataset
- 2022-02-04 15:03:07,612:INFO:Plot type: class_report
- 2022-02-04 15:03:07,616:INFO:Initializing get_config()
- 2022-02-04 15:03:07,616:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:03:07,619:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:03:07,619:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:03:07,629:INFO:Fitting Model
- 2022-02-04 15:03:07,630:INFO:Scoring test/hold-out set
- 2022-02-04 15:03:07,803:INFO:Visual Rendered Successfully
- 2022-02-04 15:03:07,910:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:03:34,192:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:03:34,193:INFO:Checking exceptions
- 2022-02-04 15:03:34,193:INFO:Preparing display monitor
- 2022-02-04 15:03:34,204:INFO:Importing libraries
- 2022-02-04 15:03:34,204:INFO:Copying training dataset
- 2022-02-04 15:03:34,205:INFO:Defining folds
- 2022-02-04 15:03:34,205:INFO:Declaring metric variables
- 2022-02-04 15:03:34,209:INFO:Importing untrained model
- 2022-02-04 15:03:34,215:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:03:34,224:INFO:Starting cross validation
- 2022-02-04 15:03:34,225:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:04:13,863:INFO:Calculating mean and std
- 2022-02-04 15:04:13,864:INFO:Creating metrics dataframe
- 2022-02-04 15:04:13,873:INFO:Finalizing model
- 2022-02-04 15:04:18,573:INFO:Uploading results into container
- 2022-02-04 15:04:18,573:INFO:Uploading model into container now
- 2022-02-04 15:04:18,581:INFO:create_model_container: 3
- 2022-02-04 15:04:18,581:INFO:master_model_container: 3
- 2022-02-04 15:04:18,582:INFO:display_container: 4
- 2022-02-04 15:04:18,583:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=4409,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:04:18,583:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:05:46,592:INFO:Initializing compare_models()
- 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)
- 2022-02-04 15:05:46,592:INFO:Checking exceptions
- 2022-02-04 15:05:46,593:INFO:Preparing display monitor
- 2022-02-04 15:05:46,593:INFO:Preparing display monitor
- 2022-02-04 15:05:46,610:INFO:Initializing Logistic Regression
- 2022-02-04 15:05:46,610:INFO:Total runtime is 0.0 minutes
- 2022-02-04 15:05:46,615:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:05:46,615:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:05:46,616:INFO:Checking exceptions
- 2022-02-04 15:05:46,616:INFO:Importing libraries
- 2022-02-04 15:05:46,616:INFO:Copying training dataset
- 2022-02-04 15:05:46,617:INFO:Defining folds
- 2022-02-04 15:05:46,617:INFO:Declaring metric variables
- 2022-02-04 15:05:46,621:INFO:Importing untrained model
- 2022-02-04 15:05:46,626:INFO:Logistic Regression Imported succesfully
- 2022-02-04 15:05:46,638:INFO:Starting cross validation
- 2022-02-04 15:05:46,638:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:05:47,871:INFO:Calculating mean and std
- 2022-02-04 15:05:47,872:INFO:Creating metrics dataframe
- 2022-02-04 15:05:47,876:INFO:Uploading results into container
- 2022-02-04 15:05:47,876:INFO:Uploading model into container now
- 2022-02-04 15:05:47,876:INFO:create_model_container: 4
- 2022-02-04 15:05:47,877:INFO:master_model_container: 4
- 2022-02-04 15:05:47,877:INFO:display_container: 5
- 2022-02-04 15:05:47,877:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4409, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-02-04 15:05:47,877:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:05:47,972:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:05:47,972:INFO:Creating metrics dataframe
- 2022-02-04 15:05:47,982:INFO:Initializing K Neighbors Classifier
- 2022-02-04 15:05:47,982:INFO:Total runtime is 0.022866658369700112 minutes
- 2022-02-04 15:05:47,987:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:05:47,987:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:05:47,988:INFO:Checking exceptions
- 2022-02-04 15:05:47,988:INFO:Importing libraries
- 2022-02-04 15:05:47,988:INFO:Copying training dataset
- 2022-02-04 15:05:47,989:INFO:Defining folds
- 2022-02-04 15:05:47,989:INFO:Declaring metric variables
- 2022-02-04 15:05:47,994:INFO:Importing untrained model
- 2022-02-04 15:05:47,999:INFO:K Neighbors Classifier Imported succesfully
- 2022-02-04 15:05:48,008:INFO:Starting cross validation
- 2022-02-04 15:05:48,008:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:07,415:INFO:Calculating mean and std
- 2022-02-04 15:06:07,416:INFO:Creating metrics dataframe
- 2022-02-04 15:06:07,418:INFO:Uploading results into container
- 2022-02-04 15:06:07,418:INFO:Uploading model into container now
- 2022-02-04 15:06:07,418:INFO:create_model_container: 5
- 2022-02-04 15:06:07,418:INFO:master_model_container: 5
- 2022-02-04 15:06:07,419:INFO:display_container: 5
- 2022-02-04 15:06:07,419:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-02-04 15:06:07,419:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:07,516:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:07,516:INFO:Creating metrics dataframe
- 2022-02-04 15:06:07,527:INFO:Initializing Naive Bayes
- 2022-02-04 15:06:07,527:INFO:Total runtime is 0.3486156860987345 minutes
- 2022-02-04 15:06:07,532:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:07,533:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:07,533:INFO:Checking exceptions
- 2022-02-04 15:06:07,533:INFO:Importing libraries
- 2022-02-04 15:06:07,533:INFO:Copying training dataset
- 2022-02-04 15:06:07,534:INFO:Defining folds
- 2022-02-04 15:06:07,534:INFO:Declaring metric variables
- 2022-02-04 15:06:07,538:INFO:Importing untrained model
- 2022-02-04 15:06:07,543:INFO:Naive Bayes Imported succesfully
- 2022-02-04 15:06:07,552:INFO:Starting cross validation
- 2022-02-04 15:06:07,553:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:07,770:INFO:Calculating mean and std
- 2022-02-04 15:06:07,771:INFO:Creating metrics dataframe
- 2022-02-04 15:06:07,774:INFO:Uploading results into container
- 2022-02-04 15:06:07,774:INFO:Uploading model into container now
- 2022-02-04 15:06:07,774:INFO:create_model_container: 6
- 2022-02-04 15:06:07,774:INFO:master_model_container: 6
- 2022-02-04 15:06:07,774:INFO:display_container: 5
- 2022-02-04 15:06:07,774:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-02-04 15:06:07,774:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:07,871:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:07,871:INFO:Creating metrics dataframe
- 2022-02-04 15:06:07,881:INFO:Initializing Decision Tree Classifier
- 2022-02-04 15:06:07,881:INFO:Total runtime is 0.35451567173004145 minutes
- 2022-02-04 15:06:07,886:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:07,886:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:07,887:INFO:Checking exceptions
- 2022-02-04 15:06:07,887:INFO:Importing libraries
- 2022-02-04 15:06:07,887:INFO:Copying training dataset
- 2022-02-04 15:06:07,888:INFO:Defining folds
- 2022-02-04 15:06:07,888:INFO:Declaring metric variables
- 2022-02-04 15:06:07,894:INFO:Importing untrained model
- 2022-02-04 15:06:07,899:INFO:Decision Tree Classifier Imported succesfully
- 2022-02-04 15:06:07,909:INFO:Starting cross validation
- 2022-02-04 15:06:07,910:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:08,821:INFO:Calculating mean and std
- 2022-02-04 15:06:08,822:INFO:Creating metrics dataframe
- 2022-02-04 15:06:08,825:INFO:Uploading results into container
- 2022-02-04 15:06:08,825:INFO:Uploading model into container now
- 2022-02-04 15:06:08,825:INFO:create_model_container: 7
- 2022-02-04 15:06:08,825:INFO:master_model_container: 7
- 2022-02-04 15:06:08,825:INFO:display_container: 5
- 2022-02-04 15:06:08,825:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4409, splitter='best')
- 2022-02-04 15:06:08,825:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:08,923:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:08,923:INFO:Creating metrics dataframe
- 2022-02-04 15:06:08,934:INFO:Initializing SVM - Linear Kernel
- 2022-02-04 15:06:08,934:INFO:Total runtime is 0.3720656991004943 minutes
- 2022-02-04 15:06:08,939:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:08,939:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:08,939:INFO:Checking exceptions
- 2022-02-04 15:06:08,940:INFO:Importing libraries
- 2022-02-04 15:06:08,940:INFO:Copying training dataset
- 2022-02-04 15:06:08,940:INFO:Defining folds
- 2022-02-04 15:06:08,941:INFO:Declaring metric variables
- 2022-02-04 15:06:08,945:INFO:Importing untrained model
- 2022-02-04 15:06:08,950:INFO:SVM - Linear Kernel Imported succesfully
- 2022-02-04 15:06:08,960:INFO:Starting cross validation
- 2022-02-04 15:06:08,960:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:09,595:INFO:Calculating mean and std
- 2022-02-04 15:06:09,595:INFO:Creating metrics dataframe
- 2022-02-04 15:06:09,598:INFO:Uploading results into container
- 2022-02-04 15:06:09,598:INFO:Uploading model into container now
- 2022-02-04 15:06:09,598:INFO:create_model_container: 8
- 2022-02-04 15:06:09,598:INFO:master_model_container: 8
- 2022-02-04 15:06:09,598:INFO:display_container: 5
- 2022-02-04 15:06:09,599:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4409, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-02-04 15:06:09,599:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:09,692:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:09,692:INFO:Creating metrics dataframe
- 2022-02-04 15:06:09,703:INFO:Initializing Ridge Classifier
- 2022-02-04 15:06:09,703:INFO:Total runtime is 0.384882374604543 minutes
- 2022-02-04 15:06:09,708:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:09,708:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:09,708:INFO:Checking exceptions
- 2022-02-04 15:06:09,709:INFO:Importing libraries
- 2022-02-04 15:06:09,709:INFO:Copying training dataset
- 2022-02-04 15:06:09,710:INFO:Defining folds
- 2022-02-04 15:06:09,710:INFO:Declaring metric variables
- 2022-02-04 15:06:09,714:INFO:Importing untrained model
- 2022-02-04 15:06:09,719:INFO:Ridge Classifier Imported succesfully
- 2022-02-04 15:06:09,729:INFO:Starting cross validation
- 2022-02-04 15:06:09,730:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:09,954:INFO:Calculating mean and std
- 2022-02-04 15:06:09,954:INFO:Creating metrics dataframe
- 2022-02-04 15:06:09,957:INFO:Uploading results into container
- 2022-02-04 15:06:09,957:INFO:Uploading model into container now
- 2022-02-04 15:06:09,957:INFO:create_model_container: 9
- 2022-02-04 15:06:09,957:INFO:master_model_container: 9
- 2022-02-04 15:06:09,957:INFO:display_container: 5
- 2022-02-04 15:06:09,957:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4409,
- solver='auto', tol=0.001)
- 2022-02-04 15:06:09,958:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:10,055:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:10,055:INFO:Creating metrics dataframe
- 2022-02-04 15:06:10,066:INFO:Initializing Random Forest Classifier
- 2022-02-04 15:06:10,066:INFO:Total runtime is 0.3909323612848917 minutes
- 2022-02-04 15:06:10,071:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:10,071:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:10,072:INFO:Checking exceptions
- 2022-02-04 15:06:10,072:INFO:Importing libraries
- 2022-02-04 15:06:10,072:INFO:Copying training dataset
- 2022-02-04 15:06:10,072:INFO:Defining folds
- 2022-02-04 15:06:10,073:INFO:Declaring metric variables
- 2022-02-04 15:06:10,078:INFO:Importing untrained model
- 2022-02-04 15:06:10,083:INFO:Random Forest Classifier Imported succesfully
- 2022-02-04 15:06:10,092:INFO:Starting cross validation
- 2022-02-04 15:06:10,092:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:16,557:INFO:Calculating mean and std
- 2022-02-04 15:06:16,557:INFO:Creating metrics dataframe
- 2022-02-04 15:06:16,561:INFO:Uploading results into container
- 2022-02-04 15:06:16,561:INFO:Uploading model into container now
- 2022-02-04 15:06:16,561:INFO:create_model_container: 10
- 2022-02-04 15:06:16,561:INFO:master_model_container: 10
- 2022-02-04 15:06:16,561:INFO:display_container: 5
- 2022-02-04 15:06:16,562:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
- warm_start=False)
- 2022-02-04 15:06:16,562:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:16,667:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:16,667:INFO:Creating metrics dataframe
- 2022-02-04 15:06:16,678:INFO:Initializing Quadratic Discriminant Analysis
- 2022-02-04 15:06:16,678:INFO:Total runtime is 0.5011307676633199 minutes
- 2022-02-04 15:06:16,684:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:16,684:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:16,684:INFO:Checking exceptions
- 2022-02-04 15:06:16,684:INFO:Importing libraries
- 2022-02-04 15:06:16,684:INFO:Copying training dataset
- 2022-02-04 15:06:16,685:INFO:Defining folds
- 2022-02-04 15:06:16,685:INFO:Declaring metric variables
- 2022-02-04 15:06:16,690:INFO:Importing untrained model
- 2022-02-04 15:06:16,695:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-02-04 15:06:16,704:INFO:Starting cross validation
- 2022-02-04 15:06:16,705:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:17,050:INFO:Calculating mean and std
- 2022-02-04 15:06:17,050:INFO:Creating metrics dataframe
- 2022-02-04 15:06:17,053:INFO:Uploading results into container
- 2022-02-04 15:06:17,053:INFO:Uploading model into container now
- 2022-02-04 15:06:17,053:INFO:create_model_container: 11
- 2022-02-04 15:06:17,053:INFO:master_model_container: 11
- 2022-02-04 15:06:17,053:INFO:display_container: 5
- 2022-02-04 15:06:17,053:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-02-04 15:06:17,054:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:17,149:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:17,150:INFO:Creating metrics dataframe
- 2022-02-04 15:06:17,161:INFO:Initializing Ada Boost Classifier
- 2022-02-04 15:06:17,161:INFO:Total runtime is 0.5091807285944621 minutes
- 2022-02-04 15:06:17,166:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:17,166:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:17,166:INFO:Checking exceptions
- 2022-02-04 15:06:17,166:INFO:Importing libraries
- 2022-02-04 15:06:17,166:INFO:Copying training dataset
- 2022-02-04 15:06:17,167:INFO:Defining folds
- 2022-02-04 15:06:17,167:INFO:Declaring metric variables
- 2022-02-04 15:06:17,172:INFO:Importing untrained model
- 2022-02-04 15:06:17,176:INFO:Ada Boost Classifier Imported succesfully
- 2022-02-04 15:06:17,185:INFO:Starting cross validation
- 2022-02-04 15:06:17,186:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:23,878:INFO:Calculating mean and std
- 2022-02-04 15:06:23,878:INFO:Creating metrics dataframe
- 2022-02-04 15:06:23,881:INFO:Uploading results into container
- 2022-02-04 15:06:23,881:INFO:Uploading model into container now
- 2022-02-04 15:06:23,881:INFO:create_model_container: 12
- 2022-02-04 15:06:23,881:INFO:master_model_container: 12
- 2022-02-04 15:06:23,881:INFO:display_container: 5
- 2022-02-04 15:06:23,882:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4409)
- 2022-02-04 15:06:23,882:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:23,979:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:23,979:INFO:Creating metrics dataframe
- 2022-02-04 15:06:23,990:INFO:Initializing Gradient Boosting Classifier
- 2022-02-04 15:06:23,991:INFO:Total runtime is 0.6230140884717306 minutes
- 2022-02-04 15:06:23,996:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:23,996:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:23,996:INFO:Checking exceptions
- 2022-02-04 15:06:23,996:INFO:Importing libraries
- 2022-02-04 15:06:23,996:INFO:Copying training dataset
- 2022-02-04 15:06:23,997:INFO:Defining folds
- 2022-02-04 15:06:23,998:INFO:Declaring metric variables
- 2022-02-04 15:06:24,002:INFO:Importing untrained model
- 2022-02-04 15:06:24,008:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-02-04 15:06:24,017:INFO:Starting cross validation
- 2022-02-04 15:06:24,017:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:45,572:INFO:Calculating mean and std
- 2022-02-04 15:06:45,573:INFO:Creating metrics dataframe
- 2022-02-04 15:06:45,575:INFO:Uploading results into container
- 2022-02-04 15:06:45,576:INFO:Uploading model into container now
- 2022-02-04 15:06:45,576:INFO:create_model_container: 13
- 2022-02-04 15:06:45,576:INFO:master_model_container: 13
- 2022-02-04 15:06:45,576:INFO:display_container: 5
- 2022-02-04 15:06:45,576:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4409, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-02-04 15:06:45,576:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:45,671:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:45,671:INFO:Creating metrics dataframe
- 2022-02-04 15:06:45,683:INFO:Initializing Linear Discriminant Analysis
- 2022-02-04 15:06:45,683:INFO:Total runtime is 0.9845474243164063 minutes
- 2022-02-04 15:06:45,688:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:45,688:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:45,688:INFO:Checking exceptions
- 2022-02-04 15:06:45,689:INFO:Importing libraries
- 2022-02-04 15:06:45,689:INFO:Copying training dataset
- 2022-02-04 15:06:45,689:INFO:Defining folds
- 2022-02-04 15:06:45,690:INFO:Declaring metric variables
- 2022-02-04 15:06:45,694:INFO:Importing untrained model
- 2022-02-04 15:06:45,699:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-02-04 15:06:45,708:INFO:Starting cross validation
- 2022-02-04 15:06:45,709:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:46,414:INFO:Calculating mean and std
- 2022-02-04 15:06:46,415:INFO:Creating metrics dataframe
- 2022-02-04 15:06:46,418:INFO:Uploading results into container
- 2022-02-04 15:06:46,418:INFO:Uploading model into container now
- 2022-02-04 15:06:46,418:INFO:create_model_container: 14
- 2022-02-04 15:06:46,418:INFO:master_model_container: 14
- 2022-02-04 15:06:46,418:INFO:display_container: 5
- 2022-02-04 15:06:46,419:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-02-04 15:06:46,419:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:46,515:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:46,515:INFO:Creating metrics dataframe
- 2022-02-04 15:06:46,527:INFO:Initializing Extra Trees Classifier
- 2022-02-04 15:06:46,527:INFO:Total runtime is 0.9986141165097555 minutes
- 2022-02-04 15:06:46,532:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:46,532:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:46,532:INFO:Checking exceptions
- 2022-02-04 15:06:46,532:INFO:Importing libraries
- 2022-02-04 15:06:46,532:INFO:Copying training dataset
- 2022-02-04 15:06:46,533:INFO:Defining folds
- 2022-02-04 15:06:46,534:INFO:Declaring metric variables
- 2022-02-04 15:06:46,538:INFO:Importing untrained model
- 2022-02-04 15:06:46,543:INFO:Extra Trees Classifier Imported succesfully
- 2022-02-04 15:06:46,553:INFO:Starting cross validation
- 2022-02-04 15:06:46,553:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:54,031:INFO:Calculating mean and std
- 2022-02-04 15:06:54,032:INFO:Creating metrics dataframe
- 2022-02-04 15:06:54,034:INFO:Uploading results into container
- 2022-02-04 15:06:54,034:INFO:Uploading model into container now
- 2022-02-04 15:06:54,034:INFO:create_model_container: 15
- 2022-02-04 15:06:54,035:INFO:master_model_container: 15
- 2022-02-04 15:06:54,035:INFO:display_container: 5
- 2022-02-04 15:06:54,035:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4409, verbose=0,
- warm_start=False)
- 2022-02-04 15:06:54,035:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:54,141:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:54,141:INFO:Creating metrics dataframe
- 2022-02-04 15:06:54,153:INFO:Initializing Extreme Gradient Boosting
- 2022-02-04 15:06:54,154:INFO:Total runtime is 1.1257275780042013 minutes
- 2022-02-04 15:06:54,159:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:54,159:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:54,159:INFO:Checking exceptions
- 2022-02-04 15:06:54,159:INFO:Importing libraries
- 2022-02-04 15:06:54,159:INFO:Copying training dataset
- 2022-02-04 15:06:54,160:INFO:Defining folds
- 2022-02-04 15:06:54,160:INFO:Declaring metric variables
- 2022-02-04 15:06:54,165:INFO:Importing untrained model
- 2022-02-04 15:06:54,169:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:06:54,179:INFO:Starting cross validation
- 2022-02-04 15:06:54,180:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:07:00,013:INFO:Calculating mean and std
- 2022-02-04 15:07:00,014:INFO:Creating metrics dataframe
- 2022-02-04 15:07:00,018:INFO:Uploading results into container
- 2022-02-04 15:07:00,018:INFO:Uploading model into container now
- 2022-02-04 15:07:00,018:INFO:create_model_container: 16
- 2022-02-04 15:07:00,018:INFO:master_model_container: 16
- 2022-02-04 15:07:00,018:INFO:display_container: 5
- 2022-02-04 15:07:00,019:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
- colsample_bynode=None, colsample_bytree=None,
- enable_categorical=False, gamma=None, gpu_id=None,
- importance_type=None, interaction_constraints=None,
- learning_rate=None, max_delta_step=None, max_depth=None,
- min_child_weight=None, missing=nan, monotone_constraints=None,
- n_estimators=100, n_jobs=-1, num_parallel_tree=None,
- objective='binary:logistic', predictor=None, random_state=4409,
- reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
- subsample=None, tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=None, verbosity=0)
- 2022-02-04 15:07:00,019:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:07:00,137:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:07:00,137:INFO:Creating metrics dataframe
- 2022-02-04 15:07:00,149:INFO:Initializing Light Gradient Boosting Machine
- 2022-02-04 15:07:00,149:INFO:Total runtime is 1.2256452123324078 minutes
- 2022-02-04 15:07:00,155:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:07:00,155:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:07:00,155:INFO:Checking exceptions
- 2022-02-04 15:07:00,155:INFO:Importing libraries
- 2022-02-04 15:07:00,155:INFO:Copying training dataset
- 2022-02-04 15:07:00,156:INFO:Defining folds
- 2022-02-04 15:07:00,156:INFO:Declaring metric variables
- 2022-02-04 15:07:00,161:INFO:Importing untrained model
- 2022-02-04 15:07:00,165:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-02-04 15:07:00,175:INFO:Starting cross validation
- 2022-02-04 15:07:00,175:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:07:15,358:INFO:Calculating mean and std
- 2022-02-04 15:07:15,359:INFO:Creating metrics dataframe
- 2022-02-04 15:07:15,363:INFO:Uploading results into container
- 2022-02-04 15:07:15,363:INFO:Uploading model into container now
- 2022-02-04 15:07:15,363:INFO:create_model_container: 17
- 2022-02-04 15:07:15,363:INFO:master_model_container: 17
- 2022-02-04 15:07:15,363:INFO:display_container: 5
- 2022-02-04 15:07:15,364:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- device='gpu', importance_type='split', learning_rate=0.1,
- max_depth=-1, min_child_samples=20, min_child_weight=0.001,
- min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
- objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0)
- 2022-02-04 15:07:15,364:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:07:15,486:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:07:15,486:INFO:Creating metrics dataframe
- 2022-02-04 15:07:15,500:INFO:Initializing CatBoost Classifier
- 2022-02-04 15:07:15,500:INFO:Total runtime is 1.4814952055613202 minutes
- 2022-02-04 15:07:15,505:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:07:15,505:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:07:15,506:INFO:Checking exceptions
- 2022-02-04 15:07:15,506:INFO:Importing libraries
- 2022-02-04 15:07:15,506:INFO:Copying training dataset
- 2022-02-04 15:07:15,507:INFO:Defining folds
- 2022-02-04 15:07:15,507:INFO:Declaring metric variables
- 2022-02-04 15:07:15,511:INFO:Importing untrained model
- 2022-02-04 15:07:15,516:INFO:CatBoost Classifier Imported succesfully
- 2022-02-04 15:07:15,526:INFO:Starting cross validation
- 2022-02-04 15:07:15,526:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:08:36,311:INFO:Calculating mean and std
- 2022-02-04 15:08:36,312:INFO:Creating metrics dataframe
- 2022-02-04 15:08:36,315:INFO:Uploading results into container
- 2022-02-04 15:08:36,315:INFO:Uploading model into container now
- 2022-02-04 15:08:36,315:INFO:create_model_container: 18
- 2022-02-04 15:08:36,315:INFO:master_model_container: 18
- 2022-02-04 15:08:36,315:INFO:display_container: 5
- 2022-02-04 15:08:36,315:INFO:<catboost.core.CatBoostClassifier object at 0x0000019A490FDDC0>
- 2022-02-04 15:08:36,315:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:08:36,421:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:08:36,422:INFO:Creating metrics dataframe
- 2022-02-04 15:08:36,435:INFO:Initializing Dummy Classifier
- 2022-02-04 15:08:36,435:INFO:Total runtime is 2.830419460932414 minutes
- 2022-02-04 15:08:36,440:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:08:36,440:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:08:36,440:INFO:Checking exceptions
- 2022-02-04 15:08:36,440:INFO:Importing libraries
- 2022-02-04 15:08:36,440:INFO:Copying training dataset
- 2022-02-04 15:08:36,441:INFO:Defining folds
- 2022-02-04 15:08:36,442:INFO:Declaring metric variables
- 2022-02-04 15:08:36,446:INFO:Importing untrained model
- 2022-02-04 15:08:36,452:INFO:Dummy Classifier Imported succesfully
- 2022-02-04 15:08:36,464:INFO:Starting cross validation
- 2022-02-04 15:08:36,464:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:08:36,598:INFO:Calculating mean and std
- 2022-02-04 15:08:36,598:INFO:Creating metrics dataframe
- 2022-02-04 15:08:36,602:INFO:Uploading results into container
- 2022-02-04 15:08:36,602:INFO:Uploading model into container now
- 2022-02-04 15:08:36,602:INFO:create_model_container: 19
- 2022-02-04 15:08:36,602:INFO:master_model_container: 19
- 2022-02-04 15:08:36,602:INFO:display_container: 5
- 2022-02-04 15:08:36,602:INFO:DummyClassifier(constant=None, random_state=4409, strategy='prior')
- 2022-02-04 15:08:36,602:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:08:36,703:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:08:36,704:INFO:Creating metrics dataframe
- 2022-02-04 15:08:36,728:INFO:Initializing create_model()
- 2022-02-04 15:08:36,728:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4409, verbose=0,
- 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={})
- 2022-02-04 15:08:36,728:INFO:Checking exceptions
- 2022-02-04 15:08:36,728:INFO:Importing libraries
- 2022-02-04 15:08:36,729:INFO:Copying training dataset
- 2022-02-04 15:08:36,729:INFO:Defining folds
- 2022-02-04 15:08:36,729:INFO:Declaring metric variables
- 2022-02-04 15:08:36,729:INFO:Importing untrained model
- 2022-02-04 15:08:36,729:INFO:Declaring custom model
- 2022-02-04 15:08:36,730:INFO:Extra Trees Classifier Imported succesfully
- 2022-02-04 15:08:36,730:INFO:Cross validation set to False
- 2022-02-04 15:08:36,730:INFO:Fitting Model
- 2022-02-04 15:08:36,996:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4409, verbose=0,
- warm_start=False)
- 2022-02-04 15:08:36,996:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:37,106:INFO:Initializing create_model()
- 2022-02-04 15:08:37,107:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
- 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={})
- 2022-02-04 15:08:37,107:INFO:Checking exceptions
- 2022-02-04 15:08:37,107:INFO:Importing libraries
- 2022-02-04 15:08:37,107:INFO:Copying training dataset
- 2022-02-04 15:08:37,108:INFO:Defining folds
- 2022-02-04 15:08:37,108:INFO:Declaring metric variables
- 2022-02-04 15:08:37,108:INFO:Importing untrained model
- 2022-02-04 15:08:37,108:INFO:Declaring custom model
- 2022-02-04 15:08:37,108:INFO:Random Forest Classifier Imported succesfully
- 2022-02-04 15:08:37,109:INFO:Cross validation set to False
- 2022-02-04 15:08:37,109:INFO:Fitting Model
- 2022-02-04 15:08:37,418:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
- warm_start=False)
- 2022-02-04 15:08:37,418:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:37,525:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:08:37,525:INFO:Checking exceptions
- 2022-02-04 15:08:37,525:INFO:Importing libraries
- 2022-02-04 15:08:37,525:INFO:Copying training dataset
- 2022-02-04 15:08:37,526:INFO:Defining folds
- 2022-02-04 15:08:37,526:INFO:Declaring metric variables
- 2022-02-04 15:08:37,526:INFO:Importing untrained model
- 2022-02-04 15:08:37,526:INFO:Declaring custom model
- 2022-02-04 15:08:37,526:INFO:CatBoost Classifier Imported succesfully
- 2022-02-04 15:08:37,527:INFO:Cross validation set to False
- 2022-02-04 15:08:37,527:INFO:Fitting Model
- 2022-02-04 15:08:45,340:INFO:<catboost.core.CatBoostClassifier object at 0x0000019A491A57C0>
- 2022-02-04 15:08:45,340:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:45,442:INFO:Initializing create_model()
- 2022-02-04 15:08:45,442:INFO:create_model(estimator=XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
- colsample_bynode=None, colsample_bytree=None,
- enable_categorical=False, gamma=None, gpu_id=None,
- importance_type=None, interaction_constraints=None,
- learning_rate=None, max_delta_step=None, max_depth=None,
- min_child_weight=None, missing=nan, monotone_constraints=None,
- n_estimators=100, n_jobs=-1, num_parallel_tree=None,
- objective='binary:logistic', predictor=None, random_state=4409,
- reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
- subsample=None, tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 15:08:45,442:INFO:Checking exceptions
- 2022-02-04 15:08:45,442:INFO:Importing libraries
- 2022-02-04 15:08:45,442:INFO:Copying training dataset
- 2022-02-04 15:08:45,443:INFO:Defining folds
- 2022-02-04 15:08:45,443:INFO:Declaring metric variables
- 2022-02-04 15:08:45,443:INFO:Importing untrained model
- 2022-02-04 15:08:45,443:INFO:Declaring custom model
- 2022-02-04 15:08:45,444:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:08:45,445:INFO:Cross validation set to False
- 2022-02-04 15:08:45,445:INFO:Fitting Model
- 2022-02-04 15:08:46,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-02-04 15:08:46,436:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:46,545:INFO:Initializing create_model()
- 2022-02-04 15:08:46,545:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- device='gpu', importance_type='split', learning_rate=0.1,
- max_depth=-1, min_child_samples=20, min_child_weight=0.001,
- min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
- objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
- silent='warn', 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={})
- 2022-02-04 15:08:46,546:INFO:Checking exceptions
- 2022-02-04 15:08:46,546:INFO:Importing libraries
- 2022-02-04 15:08:46,546:INFO:Copying training dataset
- 2022-02-04 15:08:46,546:INFO:Defining folds
- 2022-02-04 15:08:46,546:INFO:Declaring metric variables
- 2022-02-04 15:08:46,546:INFO:Importing untrained model
- 2022-02-04 15:08:46,547:INFO:Declaring custom model
- 2022-02-04 15:08:46,547:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-02-04 15:08:46,547:INFO:Cross validation set to False
- 2022-02-04 15:08:46,547:INFO:Fitting Model
- 2022-02-04 15:08:47,475:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- device='gpu', importance_type='split', learning_rate=0.1,
- max_depth=-1, min_child_samples=20, min_child_weight=0.001,
- min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
- objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0)
- 2022-02-04 15:08:47,476:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:47,604:INFO:Initializing create_model()
- 2022-02-04 15:08:47,605:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-02-04 15:08:47,605:INFO:Checking exceptions
- 2022-02-04 15:08:47,605:INFO:Importing libraries
- 2022-02-04 15:08:47,605:INFO:Copying training dataset
- 2022-02-04 15:08:47,606:INFO:Defining folds
- 2022-02-04 15:08:47,606:INFO:Declaring metric variables
- 2022-02-04 15:08:47,606:INFO:Importing untrained model
- 2022-02-04 15:08:47,606:INFO:Declaring custom model
- 2022-02-04 15:08:47,606:INFO:Decision Tree Classifier Imported succesfully
- 2022-02-04 15:08:47,607:INFO:Cross validation set to False
- 2022-02-04 15:08:47,607:INFO:Fitting Model
- 2022-02-04 15:08:47,695:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4409, splitter='best')
- 2022-02-04 15:08:47,695:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:47,815:INFO:create_model_container: 19
- 2022-02-04 15:08:47,815:INFO:master_model_container: 19
- 2022-02-04 15:08:47,815:INFO:display_container: 5
- 2022-02-04 15:08:47,817:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4409, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
- warm_start=False), <catboost.core.CatBoostClassifier object at 0x0000019A491A57C0>, XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, verbosity=0), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- device='gpu', importance_type='split', learning_rate=0.1,
- max_depth=-1, min_child_samples=20, min_child_weight=0.001,
- min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
- objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4409, splitter='best')]
- 2022-02-04 15:08:47,817:INFO:compare_models() succesfully completed......................................
- 2022-02-04 15:12:54,460:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:12:54,460:INFO:Checking exceptions
- 2022-02-04 15:12:54,461:INFO:Preparing display monitor
- 2022-02-04 15:12:54,472:INFO:Importing libraries
- 2022-02-04 15:12:54,472:INFO:Copying training dataset
- 2022-02-04 15:12:54,473:INFO:Defining folds
- 2022-02-04 15:12:54,473:INFO:Declaring metric variables
- 2022-02-04 15:12:54,478:INFO:Importing untrained model
- 2022-02-04 15:12:54,483:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:12:54,493:INFO:Starting cross validation
- 2022-02-04 15:12:54,494:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:13:39,368:INFO:Calculating mean and std
- 2022-02-04 15:13:39,369:INFO:Creating metrics dataframe
- 2022-02-04 15:13:39,380:INFO:Finalizing model
- 2022-02-04 15:13:43,426:INFO:Uploading results into container
- 2022-02-04 15:13:43,426:INFO:Uploading model into container now
- 2022-02-04 15:13:43,434:INFO:create_model_container: 20
- 2022-02-04 15:13:43,435:INFO:master_model_container: 20
- 2022-02-04 15:13:43,435:INFO:display_container: 6
- 2022-02-04 15:13:43,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=4409,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:13:43,436:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:15:36,827:INFO:PyCaret Supervised Module
- 2022-02-04 15:15:36,827:INFO:ML Usecase: classification
- 2022-02-04 15:15:36,827:INFO:version 2.3.6
- 2022-02-04 15:15:36,827:INFO:Initializing setup()
- 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)
- 2022-02-04 15:15:36,827:INFO:Checking environment
- 2022-02-04 15:15:36,827:INFO:python_version: 3.8.12
- 2022-02-04 15:15:36,828:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 15:15:36,828:INFO:machine: AMD64
- 2022-02-04 15:15:36,828:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 15:15:36,828:INFO:Memory: svmem(total=68629372928, available=43907321856, percent=36.0, used=24722051072, free=43907321856)
- 2022-02-04 15:15:36,828:INFO:Physical Core: 16
- 2022-02-04 15:15:36,828:INFO:Logical Core: 32
- 2022-02-04 15:15:36,828:INFO:Checking libraries
- 2022-02-04 15:15:36,828:INFO:pd==1.3.5
- 2022-02-04 15:15:36,828:INFO:numpy==1.21.5
- 2022-02-04 15:15:36,828:INFO:sklearn==0.23.2
- 2022-02-04 15:15:36,828:INFO:lightgbm==3.3.2
- 2022-02-04 15:15:36,828:INFO:catboost==1.0.4
- 2022-02-04 15:15:36,828:INFO:xgboost==1.5.2
- 2022-02-04 15:15:36,828:INFO:mlflow==1.23.1
- 2022-02-04 15:15:36,828:INFO:Checking Exceptions
- 2022-02-04 15:15:36,828:INFO:Declaring global variables
- 2022-02-04 15:15:36,828:INFO:USI: a197
- 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'}
- 2022-02-04 15:15:36,828:INFO:Preparing display monitor
- 2022-02-04 15:15:36,828:INFO:Preparing display monitor
- 2022-02-04 15:15:36,836:INFO:Importing libraries
- 2022-02-04 15:15:36,837:INFO:Copying data for preprocessing
- 2022-02-04 15:15:36,842:INFO:Declaring preprocessing parameters
- 2022-02-04 15:15:36,843:WARNING:cuML not found
- 2022-02-04 15:15:36,843:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 15:15:36,846:INFO:Creating preprocessing pipeline
- 2022-02-04 15:15:36,900:INFO:Preprocessing pipeline created successfully
- 2022-02-04 15:15:36,901:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 15:15:36,901:INFO:Creating global containers
- 2022-02-04 15:15:36,901:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 15:15:38,527:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 15:15:38,563:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 15:15:38,564:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 15:15:38,565:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 15:15:38,584:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 15:15:38,588:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 15:15:38,745:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 15:15:38,805:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 15:15:38,807:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 15:15:38,808:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 15:15:38,838:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 15:15:38,845:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 15:15:39,014:INFO:Creating grid variables
- 2022-02-04 15:15:39,027:INFO:create_model_container: 0
- 2022-02-04 15:15:39,027:INFO:master_model_container: 0
- 2022-02-04 15:15:39,028:INFO:display_container: 1
- 2022-02-04 15:15:39,033:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:15:39,034:INFO:setup() succesfully completed......................................
- 2022-02-04 15:15:41,539:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:15:41,539:INFO:Checking exceptions
- 2022-02-04 15:15:41,539:INFO:Preparing display monitor
- 2022-02-04 15:15:41,550:INFO:Importing libraries
- 2022-02-04 15:15:41,551:INFO:Copying training dataset
- 2022-02-04 15:15:41,552:INFO:Defining folds
- 2022-02-04 15:15:41,552:INFO:Declaring metric variables
- 2022-02-04 15:15:41,557:INFO:Importing untrained model
- 2022-02-04 15:15:41,562:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:15:41,572:INFO:Starting cross validation
- 2022-02-04 15:15:41,573:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:16:16,847:INFO:Calculating mean and std
- 2022-02-04 15:16:16,848:INFO:Creating metrics dataframe
- 2022-02-04 15:16:16,857:INFO:Finalizing model
- 2022-02-04 15:16:20,218:INFO:Uploading results into container
- 2022-02-04 15:16:20,218:INFO:Uploading model into container now
- 2022-02-04 15:16:20,226:INFO:create_model_container: 1
- 2022-02-04 15:16:20,226:INFO:master_model_container: 1
- 2022-02-04 15:16:20,226:INFO:display_container: 2
- 2022-02-04 15:16:20,228:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:16:20,228:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:23:48,139:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:23:48,140:INFO:Checking exceptions
- 2022-02-04 15:23:48,140:INFO:Preparing display monitor
- 2022-02-04 15:23:48,151:INFO:Importing libraries
- 2022-02-04 15:23:48,151:INFO:Copying training dataset
- 2022-02-04 15:23:48,153:INFO:Defining folds
- 2022-02-04 15:23:48,153:INFO:Declaring metric variables
- 2022-02-04 15:23:48,158:INFO:Importing untrained model
- 2022-02-04 15:23:48,163:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:23:48,173:INFO:Starting cross validation
- 2022-02-04 15:23:48,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:24:23,826:INFO:Calculating mean and std
- 2022-02-04 15:24:23,827:INFO:Creating metrics dataframe
- 2022-02-04 15:24:23,836:INFO:Finalizing model
- 2022-02-04 15:24:28,116:INFO:Uploading results into container
- 2022-02-04 15:24:28,116:INFO:Uploading model into container now
- 2022-02-04 15:24:28,124:INFO:create_model_container: 2
- 2022-02-04 15:24:28,124:INFO:master_model_container: 2
- 2022-02-04 15:24:28,124:INFO:display_container: 3
- 2022-02-04 15:24:28,125:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:24:28,125:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:24:50,660:INFO:Initializing evaluate_model()
- 2022-02-04 15:24:50,660:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-04 15:24:50,672:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:24:50,672:INFO:Checking exceptions
- 2022-02-04 15:24:50,674:INFO:Preparing display monitor
- 2022-02-04 15:24:50,678:INFO:Preloading libraries
- 2022-02-04 15:24:50,778:INFO:Copying training dataset
- 2022-02-04 15:24:50,779:INFO:Copying test dataset
- 2022-02-04 15:24:50,780:INFO:Plot type: parameter
- 2022-02-04 15:24:50,788:INFO:Visual Rendered Successfully
- 2022-02-04 15:24:50,894:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:25:19,632:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:25:19,632:INFO:Checking exceptions
- 2022-02-04 15:25:19,634:INFO:Preparing display monitor
- 2022-02-04 15:25:19,638:INFO:Preloading libraries
- 2022-02-04 15:25:19,731:INFO:Copying training dataset
- 2022-02-04 15:25:19,732:INFO:Copying test dataset
- 2022-02-04 15:25:19,733:INFO:Plot type: error
- 2022-02-04 15:25:19,737:INFO:Initializing get_config()
- 2022-02-04 15:25:19,737:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:25:19,740:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:25:19,740:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:25:19,748:INFO:Fitting Model
- 2022-02-04 15:25:19,749:INFO:Scoring test/hold-out set
- 2022-02-04 15:25:19,890:INFO:Visual Rendered Successfully
- 2022-02-04 15:25:19,989:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:25:24,331:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:25:24,331:INFO:Checking exceptions
- 2022-02-04 15:25:24,333:INFO:Preparing display monitor
- 2022-02-04 15:25:24,337:INFO:Preloading libraries
- 2022-02-04 15:25:24,428:INFO:Copying training dataset
- 2022-02-04 15:25:24,430:INFO:Copying test dataset
- 2022-02-04 15:25:24,430:INFO:Plot type: class_report
- 2022-02-04 15:25:24,434:INFO:Initializing get_config()
- 2022-02-04 15:25:24,434:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:25:24,437:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:25:24,437:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:25:24,445:INFO:Fitting Model
- 2022-02-04 15:25:24,447:INFO:Scoring test/hold-out set
- 2022-02-04 15:25:24,612:INFO:Visual Rendered Successfully
- 2022-02-04 15:25:24,707:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:26:05,671:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:26:05,671:INFO:Checking exceptions
- 2022-02-04 15:26:05,673:INFO:Preparing display monitor
- 2022-02-04 15:26:05,677:INFO:Preloading libraries
- 2022-02-04 15:26:05,773:INFO:Copying training dataset
- 2022-02-04 15:26:05,774:INFO:Copying test dataset
- 2022-02-04 15:26:05,774:INFO:Plot type: feature_all
- 2022-02-04 15:26:05,779:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-04 15:26:05,889:INFO:Visual Rendered Successfully
- 2022-02-04 15:26:05,989:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:26:10,817:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:26:10,817:INFO:Checking exceptions
- 2022-02-04 15:26:10,819:INFO:Preparing display monitor
- 2022-02-04 15:26:10,823:INFO:Preloading libraries
- 2022-02-04 15:26:10,915:INFO:Copying training dataset
- 2022-02-04 15:26:10,916:INFO:Copying test dataset
- 2022-02-04 15:26:10,916:INFO:Plot type: rfe
- 2022-02-04 15:26:10,931:INFO:Fitting Model
- 2022-02-04 15:33:43,230:INFO:PyCaret Supervised Module
- 2022-02-04 15:33:43,230:INFO:ML Usecase: classification
- 2022-02-04 15:33:43,230:INFO:version 2.3.6
- 2022-02-04 15:33:43,230:INFO:Initializing setup()
- 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)
- 2022-02-04 15:33:43,230:INFO:Checking environment
- 2022-02-04 15:33:43,230:INFO:python_version: 3.8.12
- 2022-02-04 15:33:43,230:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 15:33:43,230:INFO:machine: AMD64
- 2022-02-04 15:33:43,230:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 15:33:43,231:INFO:Memory: svmem(total=68629372928, available=44785848320, percent=34.7, used=23843524608, free=44785848320)
- 2022-02-04 15:33:43,231:INFO:Physical Core: 16
- 2022-02-04 15:33:43,231:INFO:Logical Core: 32
- 2022-02-04 15:33:43,231:INFO:Checking libraries
- 2022-02-04 15:33:43,231:INFO:pd==1.3.5
- 2022-02-04 15:33:43,231:INFO:numpy==1.21.5
- 2022-02-04 15:33:43,231:INFO:sklearn==0.23.2
- 2022-02-04 15:33:43,231:INFO:lightgbm==3.3.2
- 2022-02-04 15:33:43,243:INFO:catboost==1.0.4
- 2022-02-04 15:33:43,336:INFO:xgboost==1.5.2
- 2022-02-04 15:33:43,632:INFO:mlflow==1.23.1
- 2022-02-04 15:33:43,633:INFO:Checking Exceptions
- 2022-02-04 15:33:43,633:INFO:Declaring global variables
- 2022-02-04 15:33:43,633:INFO:USI: 229f
- 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'}
- 2022-02-04 15:33:43,633:INFO:Preparing display monitor
- 2022-02-04 15:33:43,633:INFO:Preparing display monitor
- 2022-02-04 15:33:43,642:INFO:Importing libraries
- 2022-02-04 15:33:43,643:INFO:Copying data for preprocessing
- 2022-02-04 15:33:43,648:INFO:Declaring preprocessing parameters
- 2022-02-04 15:33:43,649:WARNING:cuML not found
- 2022-02-04 15:33:43,649:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 15:33:43,652:INFO:Creating preprocessing pipeline
- 2022-02-04 15:33:43,704:INFO:Preprocessing pipeline created successfully
- 2022-02-04 15:33:43,704:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 15:33:43,704:INFO:Creating global containers
- 2022-02-04 15:33:43,706:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 15:33:45,997:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 15:33:46,032:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 15:33:46,034:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 15:33:46,035:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 15:33:46,055:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 15:33:46,059:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 15:33:46,251:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 15:33:46,312:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 15:33:46,313:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 15:33:46,314:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 15:33:46,348:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 15:33:46,353:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 15:33:46,473:INFO:Creating grid variables
- 2022-02-04 15:33:46,487:INFO:create_model_container: 0
- 2022-02-04 15:33:46,487:INFO:master_model_container: 0
- 2022-02-04 15:33:46,487:INFO:display_container: 1
- 2022-02-04 15:33:46,493:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:33:46,494:INFO:setup() succesfully completed......................................
- 2022-02-04 15:33:55,377:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:33:55,378:INFO:Checking exceptions
- 2022-02-04 15:33:55,378:INFO:Preparing display monitor
- 2022-02-04 15:33:55,389:INFO:Importing libraries
- 2022-02-04 15:33:55,389:INFO:Copying training dataset
- 2022-02-04 15:33:55,390:INFO:Defining folds
- 2022-02-04 15:33:55,390:INFO:Declaring metric variables
- 2022-02-04 15:33:55,396:INFO:Importing untrained model
- 2022-02-04 15:33:55,401:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:33:55,410:INFO:Starting cross validation
- 2022-02-04 15:33:55,411:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:34:27,741:INFO:Calculating mean and std
- 2022-02-04 15:34:27,742:INFO:Creating metrics dataframe
- 2022-02-04 15:34:27,753:INFO:Finalizing model
- 2022-02-04 15:34:31,084:INFO:Uploading results into container
- 2022-02-04 15:34:31,085:INFO:Uploading model into container now
- 2022-02-04 15:34:31,093:INFO:create_model_container: 1
- 2022-02-04 15:34:31,093:INFO:master_model_container: 1
- 2022-02-04 15:34:31,093:INFO:display_container: 2
- 2022-02-04 15:34:31,094:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:34:31,094:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:34:51,425:INFO:Initializing tune_model()
- 2022-02-04 15:34:51,425:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 15:34:51,425:INFO:Checking exceptions
- 2022-02-04 15:34:51,426:INFO:Preparing display monitor
- 2022-02-04 15:34:51,437:INFO:Copying training dataset
- 2022-02-04 15:34:51,438:INFO:Checking base model
- 2022-02-04 15:34:51,438:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 15:34:51,445:INFO:Declaring metric variables
- 2022-02-04 15:34:51,450:INFO:Defining Hyperparameters
- 2022-02-04 15:34:51,547:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12]}
- 2022-02-04 15:34:51,547:INFO:Tuning with n_jobs=1
- 2022-02-04 15:34:51,547:INFO:Initializing RandomizedSearchCV
- 2022-02-04 15:37:16,408:INFO:best_params: {'actual_estimator__max_depth': 16}
- 2022-02-04 15:37:16,409:INFO:Hyperparameter search completed
- 2022-02-04 15:37:16,409:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:37:16,410:INFO:Initializing create_model()
- 2022-02-04 15:37:16,410:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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 0x0000014CC65C5FA0>, kwargs={'max_depth': 16})
- 2022-02-04 15:37:16,410:INFO:Checking exceptions
- 2022-02-04 15:37:16,410:INFO:Importing libraries
- 2022-02-04 15:37:16,410:INFO:Copying training dataset
- 2022-02-04 15:37:16,411:INFO:Defining folds
- 2022-02-04 15:37:16,412:INFO:Declaring metric variables
- 2022-02-04 15:37:16,418:INFO:Importing untrained model
- 2022-02-04 15:37:16,419:INFO:Declaring custom model
- 2022-02-04 15:37:16,426:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:37:16,442:INFO:Starting cross validation
- 2022-02-04 15:37:16,443:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:37:50,240:INFO:Calculating mean and std
- 2022-02-04 15:37:50,241:INFO:Creating metrics dataframe
- 2022-02-04 15:37:50,251:INFO:Finalizing model
- 2022-02-04 15:37:53,479:INFO:Uploading results into container
- 2022-02-04 15:37:53,479:INFO:Uploading model into container now
- 2022-02-04 15:37:53,479:INFO:create_model_container: 2
- 2022-02-04 15:37:53,480:INFO:master_model_container: 2
- 2022-02-04 15:37:53,480:INFO:display_container: 3
- 2022-02-04 15:37:53,481:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:37:53,481:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:37:53,566:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:37:53,575:INFO:create_model_container: 2
- 2022-02-04 15:37:53,575:INFO:master_model_container: 2
- 2022-02-04 15:37:53,575:INFO:display_container: 3
- 2022-02-04 15:37:53,576:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:37:53,576:INFO:tune_model() succesfully completed......................................
- 2022-02-04 15:38:12,611:INFO:Initializing evaluate_model()
- 2022-02-04 15:38:12,611:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-04 15:38:12,625:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:38:12,625:INFO:Checking exceptions
- 2022-02-04 15:38:12,627:INFO:Preparing display monitor
- 2022-02-04 15:38:12,631:INFO:Preloading libraries
- 2022-02-04 15:38:12,724:INFO:Copying training dataset
- 2022-02-04 15:38:12,725:INFO:Copying test dataset
- 2022-02-04 15:38:12,725:INFO:Plot type: parameter
- 2022-02-04 15:38:12,733:INFO:Visual Rendered Successfully
- 2022-02-04 15:38:12,821:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:38:15,395:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:38:15,395:INFO:Checking exceptions
- 2022-02-04 15:38:15,397:INFO:Preparing display monitor
- 2022-02-04 15:38:15,401:INFO:Preloading libraries
- 2022-02-04 15:38:15,494:INFO:Copying training dataset
- 2022-02-04 15:38:15,495:INFO:Copying test dataset
- 2022-02-04 15:38:15,496:INFO:Plot type: confusion_matrix
- 2022-02-04 15:38:15,500:INFO:Initializing get_config()
- 2022-02-04 15:38:15,500:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:38:15,504:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:38:15,504:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:38:15,517:INFO:Fitting Model
- 2022-02-04 15:38:15,518:INFO:Scoring test/hold-out set
- 2022-02-04 15:38:15,681:INFO:Visual Rendered Successfully
- 2022-02-04 15:38:15,768:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:38:21,104:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:38:21,104:INFO:Checking exceptions
- 2022-02-04 15:38:21,106:INFO:Preparing display monitor
- 2022-02-04 15:38:21,109:INFO:Preloading libraries
- 2022-02-04 15:38:21,200:INFO:Copying training dataset
- 2022-02-04 15:38:21,201:INFO:Copying test dataset
- 2022-02-04 15:38:21,201:INFO:Plot type: class_report
- 2022-02-04 15:38:21,205:INFO:Initializing get_config()
- 2022-02-04 15:38:21,205:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:38:21,208:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:38:21,208:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:38:21,216:INFO:Fitting Model
- 2022-02-04 15:38:21,217:INFO:Scoring test/hold-out set
- 2022-02-04 15:38:21,379:INFO:Visual Rendered Successfully
- 2022-02-04 15:38:21,472:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:38:31,617:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:38:31,617:INFO:Checking exceptions
- 2022-02-04 15:38:31,620:INFO:Preparing display monitor
- 2022-02-04 15:38:31,623:INFO:Preloading libraries
- 2022-02-04 15:38:31,713:INFO:Copying training dataset
- 2022-02-04 15:38:31,714:INFO:Copying test dataset
- 2022-02-04 15:38:31,715:INFO:Plot type: feature_all
- 2022-02-04 15:38:31,719:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-04 15:38:31,827:INFO:Visual Rendered Successfully
- 2022-02-04 15:38:31,915:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:03:12,528:INFO:Initializing create_model()
- 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})
- 2022-02-04 16:03:12,528:INFO:Checking exceptions
- 2022-02-04 16:03:12,528:INFO:Preparing display monitor
- 2022-02-04 16:03:12,541:INFO:Importing libraries
- 2022-02-04 16:03:12,541:INFO:Copying training dataset
- 2022-02-04 16:03:12,542:INFO:Defining folds
- 2022-02-04 16:03:12,542:INFO:Declaring metric variables
- 2022-02-04 16:03:12,547:INFO:Importing untrained model
- 2022-02-04 16:03:12,552:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:03:12,562:INFO:Starting cross validation
- 2022-02-04 16:03:12,563:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:03:50,223:INFO:Calculating mean and std
- 2022-02-04 16:03:50,224:INFO:Creating metrics dataframe
- 2022-02-04 16:03:50,234:INFO:Finalizing model
- 2022-02-04 16:03:54,493:INFO:Uploading results into container
- 2022-02-04 16:03:54,493:INFO:Uploading model into container now
- 2022-02-04 16:03:54,501:INFO:create_model_container: 3
- 2022-02-04 16:03:54,501:INFO:master_model_container: 3
- 2022-02-04 16:03:54,501:INFO:display_container: 4
- 2022-02-04 16:03:54,503:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 16:03:54,503:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:16:08,485:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 16:16:08,485:INFO:Checking exceptions
- 2022-02-04 16:16:08,487:INFO:Preparing display monitor
- 2022-02-04 16:16:08,491:INFO:Preloading libraries
- 2022-02-04 16:16:08,581:INFO:Copying training dataset
- 2022-02-04 16:16:08,583:INFO:Copying test dataset
- 2022-02-04 16:16:08,583:INFO:Plot type: feature
- 2022-02-04 16:16:08,587:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-04 16:16:08,665:INFO:Visual Rendered Successfully
- 2022-02-04 16:16:08,769:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:16:14,942:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 16:16:14,942:INFO:Checking exceptions
- 2022-02-04 16:16:14,944:INFO:Preparing display monitor
- 2022-02-04 16:16:14,948:INFO:Preloading libraries
- 2022-02-04 16:16:15,039:INFO:Copying training dataset
- 2022-02-04 16:16:15,040:INFO:Copying test dataset
- 2022-02-04 16:16:15,040:INFO:Plot type: gain
- 2022-02-04 16:16:15,044:INFO:Generating predictions / predict_proba on X_test
- 2022-02-04 16:16:15,267:INFO:Visual Rendered Successfully
- 2022-02-04 16:16:15,350:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:16:19,871:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 16:16:19,871:INFO:Checking exceptions
- 2022-02-04 16:16:19,873:INFO:Preparing display monitor
- 2022-02-04 16:16:19,877:INFO:Preloading libraries
- 2022-02-04 16:16:19,973:INFO:Copying training dataset
- 2022-02-04 16:16:19,974:INFO:Copying test dataset
- 2022-02-04 16:16:19,975:INFO:Plot type: lift
- 2022-02-04 16:16:19,979:INFO:Generating predictions / predict_proba on X_test
- 2022-02-04 16:16:20,211:INFO:Visual Rendered Successfully
- 2022-02-04 16:16:20,306:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:16:24,343:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 16:16:24,343:INFO:Checking exceptions
- 2022-02-04 16:16:24,345:INFO:Preparing display monitor
- 2022-02-04 16:16:24,349:INFO:Preloading libraries
- 2022-02-04 16:16:24,442:INFO:Copying training dataset
- 2022-02-04 16:16:24,442:INFO:Copying test dataset
- 2022-02-04 16:16:24,443:INFO:Plot type: ks
- 2022-02-04 16:16:24,447:INFO:Generating predictions / predict_proba on X_test
- 2022-02-04 16:16:24,720:INFO:Visual Rendered Successfully
- 2022-02-04 16:16:24,805:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:16:26,680:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 16:16:26,680:INFO:Checking exceptions
- 2022-02-04 16:16:39,192:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=manifold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 16:16:39,193:INFO:Checking exceptions
- 2022-02-04 16:16:39,194:INFO:Preparing display monitor
- 2022-02-04 16:16:39,198:INFO:Preloading libraries
- 2022-02-04 16:16:39,288:INFO:Copying training dataset
- 2022-02-04 16:16:39,289:INFO:Copying test dataset
- 2022-02-04 16:16:39,289:INFO:Plot type: manifold
- 2022-02-04 16:16:39,347:INFO:Fitting & Transforming Model
- 2022-02-04 16:18:47,644:INFO:Visual Rendered Successfully
- 2022-02-04 16:18:47,762:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:19:32,640:INFO:Initializing tune_model()
- 2022-02-04 16:19:32,641:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:19:32,641:INFO:Checking exceptions
- 2022-02-04 16:19:32,641:INFO:Preparing display monitor
- 2022-02-04 16:19:32,652:INFO:Copying training dataset
- 2022-02-04 16:19:32,654:INFO:Checking base model
- 2022-02-04 16:19:32,654:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:19:32,659:INFO:Declaring metric variables
- 2022-02-04 16:19:32,664:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:19:32,784:INFO:Tuning with n_jobs=1
- 2022-02-04 16:19:32,784:INFO:Initializing RandomizedSearchCV
- 2022-02-04 16:22:48,394:INFO:best_params: {'actual_estimator__max_depth': 16, 'actual_estimator__learning_rate': 0.1}
- 2022-02-04 16:22:48,395:INFO:Hyperparameter search completed
- 2022-02-04 16:22:48,395:INFO:SubProcess create_model() called ==================================
- 2022-02-04 16:22:48,396:INFO:Initializing create_model()
- 2022-02-04 16:22:48,396:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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 0x0000014CADC07850>, kwargs={'max_depth': 16, 'learning_rate': 0.1})
- 2022-02-04 16:22:48,396:INFO:Checking exceptions
- 2022-02-04 16:22:48,396:INFO:Importing libraries
- 2022-02-04 16:22:48,396:INFO:Copying training dataset
- 2022-02-04 16:22:48,398:INFO:Defining folds
- 2022-02-04 16:22:48,398:INFO:Declaring metric variables
- 2022-02-04 16:22:48,405:INFO:Importing untrained model
- 2022-02-04 16:22:48,405:INFO:Declaring custom model
- 2022-02-04 16:22:48,413:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:22:48,426:INFO:Starting cross validation
- 2022-02-04 16:22:48,427:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:23:37,960:INFO:Calculating mean and std
- 2022-02-04 16:23:37,961:INFO:Creating metrics dataframe
- 2022-02-04 16:23:37,971:INFO:Finalizing model
- 2022-02-04 16:23:42,083:INFO:Uploading results into container
- 2022-02-04 16:23:42,084:INFO:Uploading model into container now
- 2022-02-04 16:23:42,084:INFO:create_model_container: 4
- 2022-02-04 16:23:42,084:INFO:master_model_container: 4
- 2022-02-04 16:23:42,084:INFO:display_container: 5
- 2022-02-04 16:23:42,085:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.1, max_delta_step=0,
- max_depth=16, max_leaves=255, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:23:42,085:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:23:42,208:INFO:SubProcess create_model() end ==================================
- 2022-02-04 16:23:42,216:INFO:create_model_container: 4
- 2022-02-04 16:23:42,216:INFO:master_model_container: 4
- 2022-02-04 16:23:42,216:INFO:display_container: 5
- 2022-02-04 16:23:42,218:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.1, max_delta_step=0,
- max_depth=16, max_leaves=255, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:23:42,218:INFO:tune_model() succesfully completed......................................
- 2022-02-04 16:25:40,710:INFO:Initializing tune_model()
- 2022-02-04 16:25:40,710:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:25:40,710:INFO:Checking exceptions
- 2022-02-04 16:25:40,711:INFO:Preparing display monitor
- 2022-02-04 16:25:40,721:INFO:Copying training dataset
- 2022-02-04 16:25:40,722:INFO:Checking base model
- 2022-02-04 16:25:40,722:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:25:40,728:INFO:Declaring metric variables
- 2022-02-04 16:25:40,733:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:25:40,859:INFO:Tuning with n_jobs=1
- 2022-02-04 16:25:40,859:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 16:32:19,442:INFO:Hyperparameter search completed
- 2022-02-04 16:32:19,443:INFO:SubProcess create_model() called ==================================
- 2022-02-04 16:32:19,444:INFO:Initializing create_model()
- 2022-02-04 16:32:19,444:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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 0x0000014CACE227F0>, kwargs={'max_leaves': 2048, 'max_depth': 13, 'learning_rate': 0.5})
- 2022-02-04 16:32:19,444:INFO:Checking exceptions
- 2022-02-04 16:32:19,444:INFO:Importing libraries
- 2022-02-04 16:32:19,444:INFO:Copying training dataset
- 2022-02-04 16:32:19,445:INFO:Defining folds
- 2022-02-04 16:32:19,445:INFO:Declaring metric variables
- 2022-02-04 16:32:19,452:INFO:Importing untrained model
- 2022-02-04 16:32:19,452:INFO:Declaring custom model
- 2022-02-04 16:32:19,460:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:32:19,473:INFO:Starting cross validation
- 2022-02-04 16:32:19,475:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:32:42,004:INFO:Calculating mean and std
- 2022-02-04 16:32:42,004:INFO:Creating metrics dataframe
- 2022-02-04 16:32:42,014:INFO:Finalizing model
- 2022-02-04 16:32:44,608:INFO:Uploading results into container
- 2022-02-04 16:32:44,609:INFO:Uploading model into container now
- 2022-02-04 16:32:44,609:INFO:create_model_container: 5
- 2022-02-04 16:32:44,609:INFO:master_model_container: 5
- 2022-02-04 16:32:44,609:INFO:display_container: 6
- 2022-02-04 16:32:44,610:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.5, max_delta_step=0,
- max_depth=13, max_leaves=2048, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:32:44,610:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:32:44,725:INFO:SubProcess create_model() end ==================================
- 2022-02-04 16:32:44,733:INFO:create_model_container: 5
- 2022-02-04 16:32:44,733:INFO:master_model_container: 5
- 2022-02-04 16:32:44,734:INFO:display_container: 6
- 2022-02-04 16:32:44,735:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.5, max_delta_step=0,
- max_depth=13, max_leaves=2048, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:32:44,735:INFO:tune_model() succesfully completed......................................
- 2022-02-04 16:37:06,383:INFO:Initializing tune_model()
- 2022-02-04 16:37:06,384:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:37:06,384:INFO:Checking exceptions
- 2022-02-04 16:37:06,384:INFO:Preparing display monitor
- 2022-02-04 16:37:06,396:INFO:Copying training dataset
- 2022-02-04 16:37:06,397:INFO:Checking base model
- 2022-02-04 16:37:06,398:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:37:06,403:INFO:Declaring metric variables
- 2022-02-04 16:37:06,408:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:37:06,533:INFO:Tuning with n_jobs=1
- 2022-02-04 16:37:06,533:INFO:Initializing RandomizedSearchCV
- 2022-02-04 16:38:36,171:INFO:PyCaret Supervised Module
- 2022-02-04 16:38:36,172:INFO:ML Usecase: classification
- 2022-02-04 16:38:36,172:INFO:version 2.3.6
- 2022-02-04 16:38:36,172:INFO:Initializing setup()
- 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)
- 2022-02-04 16:38:36,172:INFO:Checking environment
- 2022-02-04 16:38:36,172:INFO:python_version: 3.8.12
- 2022-02-04 16:38:36,172:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 16:38:36,172:INFO:machine: AMD64
- 2022-02-04 16:38:36,172:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 16:38:36,172:INFO:Memory: svmem(total=68629372928, available=42952548352, percent=37.4, used=25676824576, free=42952548352)
- 2022-02-04 16:38:36,172:INFO:Physical Core: 16
- 2022-02-04 16:38:36,172:INFO:Logical Core: 32
- 2022-02-04 16:38:36,172:INFO:Checking libraries
- 2022-02-04 16:38:36,172:INFO:pd==1.3.5
- 2022-02-04 16:38:36,172:INFO:numpy==1.21.5
- 2022-02-04 16:38:36,173:INFO:sklearn==0.23.2
- 2022-02-04 16:38:36,173:INFO:lightgbm==3.3.2
- 2022-02-04 16:38:36,184:INFO:catboost==1.0.4
- 2022-02-04 16:38:36,277:INFO:xgboost==1.5.2
- 2022-02-04 16:38:36,602:INFO:mlflow==1.23.1
- 2022-02-04 16:38:36,603:INFO:Checking Exceptions
- 2022-02-04 16:38:36,603:INFO:Declaring global variables
- 2022-02-04 16:38:36,603:INFO:USI: 926f
- 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'}
- 2022-02-04 16:38:36,603:INFO:Preparing display monitor
- 2022-02-04 16:38:36,603:INFO:Preparing display monitor
- 2022-02-04 16:38:36,612:INFO:Importing libraries
- 2022-02-04 16:38:36,612:INFO:Copying data for preprocessing
- 2022-02-04 16:38:36,618:INFO:Declaring preprocessing parameters
- 2022-02-04 16:38:36,619:WARNING:cuML not found
- 2022-02-04 16:38:36,619:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 16:38:36,622:INFO:Creating preprocessing pipeline
- 2022-02-04 16:38:36,675:INFO:Preprocessing pipeline created successfully
- 2022-02-04 16:38:36,675:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 16:38:36,675:INFO:Creating global containers
- 2022-02-04 16:38:36,677:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 16:38:38,189:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 16:38:38,224:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 16:38:38,226:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 16:38:38,227:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 16:38:38,247:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 16:38:38,251:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 16:38:38,476:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 16:38:38,536:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 16:38:38,537:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 16:38:38,538:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 16:38:38,569:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 16:38:38,575:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 16:38:38,695:INFO:Creating grid variables
- 2022-02-04 16:38:38,708:INFO:create_model_container: 0
- 2022-02-04 16:38:38,708:INFO:master_model_container: 0
- 2022-02-04 16:38:38,709:INFO:display_container: 1
- 2022-02-04 16:38:38,715:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 16:38:38,715:INFO:setup() succesfully completed......................................
- 2022-02-04 16:38:55,897:INFO:Initializing create_model()
- 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})
- 2022-02-04 16:38:55,897:INFO:Checking exceptions
- 2022-02-04 16:38:55,897:INFO:Preparing display monitor
- 2022-02-04 16:38:55,910:INFO:Importing libraries
- 2022-02-04 16:38:55,910:INFO:Copying training dataset
- 2022-02-04 16:38:55,911:INFO:Defining folds
- 2022-02-04 16:38:55,911:INFO:Declaring metric variables
- 2022-02-04 16:38:55,916:INFO:Importing untrained model
- 2022-02-04 16:38:55,922:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:38:55,933:INFO:Starting cross validation
- 2022-02-04 16:38:55,934:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:39:31,668:INFO:Calculating mean and std
- 2022-02-04 16:39:31,669:INFO:Creating metrics dataframe
- 2022-02-04 16:39:31,679:INFO:Finalizing model
- 2022-02-04 16:39:35,427:INFO:Uploading results into container
- 2022-02-04 16:39:35,427:INFO:Uploading model into container now
- 2022-02-04 16:39:35,434:INFO:create_model_container: 1
- 2022-02-04 16:39:35,435:INFO:master_model_container: 1
- 2022-02-04 16:39:35,435:INFO:display_container: 2
- 2022-02-04 16:39:35,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 16:39:35,436:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:42:06,253:INFO:Initializing tune_model()
- 2022-02-04 16:42:06,253:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:42:06,253:INFO:Checking exceptions
- 2022-02-04 16:42:06,254:INFO:Preparing display monitor
- 2022-02-04 16:42:06,264:INFO:Copying training dataset
- 2022-02-04 16:42:06,265:INFO:Checking base model
- 2022-02-04 16:42:06,266:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:42:06,271:INFO:Declaring metric variables
- 2022-02-04 16:42:06,276:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:42:06,378:INFO:Tuning with n_jobs=1
- 2022-02-04 16:42:06,378:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 16:49:56,502:INFO:Hyperparameter search completed
- 2022-02-04 16:49:56,502:INFO:SubProcess create_model() called ==================================
- 2022-02-04 16:49:56,503:INFO:Initializing create_model()
- 2022-02-04 16:49:56,503:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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 0x0000027B25238160>, kwargs={'max_leaves': 2048, 'max_depth': 16, 'learning_rate': 0.1})
- 2022-02-04 16:49:56,503:INFO:Checking exceptions
- 2022-02-04 16:49:56,503:INFO:Importing libraries
- 2022-02-04 16:49:56,503:INFO:Copying training dataset
- 2022-02-04 16:49:56,504:INFO:Defining folds
- 2022-02-04 16:49:56,504:INFO:Declaring metric variables
- 2022-02-04 16:49:56,512:INFO:Importing untrained model
- 2022-02-04 16:49:56,512:INFO:Declaring custom model
- 2022-02-04 16:49:56,519:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:49:56,532:INFO:Starting cross validation
- 2022-02-04 16:49:56,534:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:50:50,765:INFO:Calculating mean and std
- 2022-02-04 16:50:50,766:INFO:Creating metrics dataframe
- 2022-02-04 16:50:50,775:INFO:Finalizing model
- 2022-02-04 16:50:56,474:INFO:Uploading results into container
- 2022-02-04 16:50:56,474:INFO:Uploading model into container now
- 2022-02-04 16:50:56,474:INFO:create_model_container: 2
- 2022-02-04 16:50:56,474:INFO:master_model_container: 2
- 2022-02-04 16:50:56,474:INFO:display_container: 3
- 2022-02-04 16:50:56,475:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.1, max_delta_step=0,
- max_depth=16, max_leaves=2048, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=524, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:50:56,475:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:50:56,569:INFO:SubProcess create_model() end ==================================
- 2022-02-04 16:50:56,577:INFO:create_model_container: 2
- 2022-02-04 16:50:56,577:INFO:master_model_container: 2
- 2022-02-04 16:50:56,577:INFO:display_container: 3
- 2022-02-04 16:50:56,578:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.1, max_delta_step=0,
- max_depth=16, max_leaves=2048, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=524, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:50:56,579:INFO:tune_model() succesfully completed......................................
- 2022-02-04 16:55:20,965:INFO:Initializing tune_model()
- 2022-02-04 16:55:20,965:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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})
- 2022-02-04 16:55:20,965:INFO:Checking exceptions
- 2022-02-04 16:55:20,966:INFO:Preparing display monitor
- 2022-02-04 16:55:20,977:INFO:Copying training dataset
- 2022-02-04 16:55:20,978:INFO:Checking base model
- 2022-02-04 16:55:20,978:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:55:20,985:INFO:Declaring metric variables
- 2022-02-04 16:55:20,989:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:55:21,093:INFO:Tuning with n_jobs=1
- 2022-02-04 16:55:21,093:INFO:Initializing RandomizedSearchCV
- 2022-02-04 16:56:20,429:INFO:Initializing tune_model()
- 2022-02-04 16:56:20,429:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:56:20,429:INFO:Checking exceptions
- 2022-02-04 16:56:20,430:INFO:Preparing display monitor
- 2022-02-04 16:56:20,440:INFO:Copying training dataset
- 2022-02-04 16:56:20,442:INFO:Checking base model
- 2022-02-04 16:56:20,442:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:56:20,448:INFO:Declaring metric variables
- 2022-02-04 16:56:20,453:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:56:20,586:INFO:Tuning with n_jobs=1
- 2022-02-04 16:56:20,586:INFO:Initializing RandomizedSearchCV
- 2022-02-04 17:00:31,953:INFO:PyCaret Supervised Module
- 2022-02-04 17:00:31,954:INFO:ML Usecase: classification
- 2022-02-04 17:00:31,954:INFO:version 2.3.6
- 2022-02-04 17:00:31,954:INFO:Initializing setup()
- 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)
- 2022-02-04 17:00:31,954:INFO:Checking environment
- 2022-02-04 17:00:31,954:INFO:python_version: 3.8.12
- 2022-02-04 17:00:31,954:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 17:00:31,954:INFO:machine: AMD64
- 2022-02-04 17:00:31,954:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 17:00:31,954:INFO:Memory: svmem(total=68629372928, available=42844643328, percent=37.6, used=25784729600, free=42844643328)
- 2022-02-04 17:00:31,954:INFO:Physical Core: 16
- 2022-02-04 17:00:31,954:INFO:Logical Core: 32
- 2022-02-04 17:00:31,954:INFO:Checking libraries
- 2022-02-04 17:00:31,954:INFO:pd==1.3.5
- 2022-02-04 17:00:31,954:INFO:numpy==1.21.5
- 2022-02-04 17:00:31,954:INFO:sklearn==0.23.2
- 2022-02-04 17:00:31,954:INFO:lightgbm==3.3.2
- 2022-02-04 17:00:31,966:INFO:catboost==1.0.4
- 2022-02-04 17:00:32,058:INFO:xgboost==1.5.2
- 2022-02-04 17:00:32,334:INFO:mlflow==1.23.1
- 2022-02-04 17:00:32,334:INFO:Checking Exceptions
- 2022-02-04 17:00:32,334:INFO:Declaring global variables
- 2022-02-04 17:00:32,334:INFO:USI: ec72
- 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'}
- 2022-02-04 17:00:32,334:INFO:Preparing display monitor
- 2022-02-04 17:00:32,334:INFO:Preparing display monitor
- 2022-02-04 17:00:32,343:INFO:Importing libraries
- 2022-02-04 17:00:32,344:INFO:Copying data for preprocessing
- 2022-02-04 17:00:32,349:INFO:Declaring preprocessing parameters
- 2022-02-04 17:00:32,350:WARNING:cuML not found
- 2022-02-04 17:00:32,350:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 17:00:32,353:INFO:Creating preprocessing pipeline
- 2022-02-04 17:00:32,407:INFO:Preprocessing pipeline created successfully
- 2022-02-04 17:00:32,407:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 17:00:32,408:INFO:Creating global containers
- 2022-02-04 17:00:32,409:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 17:00:34,319:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 17:00:34,354:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 17:00:34,356:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 17:00:34,357:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 17:00:34,377:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 17:00:34,381:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 17:00:34,606:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 17:00:34,668:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 17:00:34,669:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 17:00:34,671:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 17:00:34,701:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 17:00:34,707:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 17:00:34,825:INFO:Creating grid variables
- 2022-02-04 17:00:34,838:INFO:create_model_container: 0
- 2022-02-04 17:00:34,838:INFO:master_model_container: 0
- 2022-02-04 17:00:34,839:INFO:display_container: 1
- 2022-02-04 17:00:34,845:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 17:00:34,845:INFO:setup() succesfully completed......................................
- 2022-02-04 17:00:47,482:INFO:Initializing create_model()
- 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})
- 2022-02-04 17:00:47,482:INFO:Checking exceptions
- 2022-02-04 17:00:47,482:INFO:Preparing display monitor
- 2022-02-04 17:00:47,495:INFO:Importing libraries
- 2022-02-04 17:00:47,495:INFO:Copying training dataset
- 2022-02-04 17:00:47,496:INFO:Defining folds
- 2022-02-04 17:00:47,496:INFO:Declaring metric variables
- 2022-02-04 17:00:47,501:INFO:Importing untrained model
- 2022-02-04 17:00:47,506:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 17:00:47,515:INFO:Starting cross validation
- 2022-02-04 17:00:47,517:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 17:00:50,378:INFO:Calculating mean and std
- 2022-02-04 17:00:50,379:INFO:Creating metrics dataframe
- 2022-02-04 17:00:50,389:INFO:Finalizing model
- 2022-02-04 17:00:50,703:INFO:Uploading results into container
- 2022-02-04 17:00:50,703:INFO:Uploading model into container now
- 2022-02-04 17:00:50,712:INFO:create_model_container: 1
- 2022-02-04 17:00:50,712:INFO:master_model_container: 1
- 2022-02-04 17:00:50,712:INFO:display_container: 2
- 2022-02-04 17:00:50,713:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 17:00:50,713:INFO:create_model() succesfully completed......................................
- 2022-02-04 17:01:13,080:INFO:Initializing tune_model()
- 2022-02-04 17:01:13,081:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-04 17:01:13,081:INFO:Checking exceptions
- 2022-02-04 17:01:13,081:INFO:Preparing display monitor
- 2022-02-04 17:01:13,092:INFO:Copying training dataset
- 2022-02-04 17:01:13,093:INFO:Checking base model
- 2022-02-04 17:01:13,093:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 17:01:13,098:INFO:Declaring metric variables
- 2022-02-04 17:01:13,104:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 17:01:13,208:INFO:Tuning with n_jobs=1
- 2022-02-04 17:01:13,208:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 17:06:14,581:INFO:Hyperparameter search completed
- 2022-02-04 17:06:14,581:INFO:SubProcess create_model() called ==================================
- 2022-02-04 17:06:14,582:INFO:Initializing create_model()
- 2022-02-04 17:06:14,582:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-04 17:06:14,582:INFO:Checking exceptions
- 2022-02-04 17:06:14,582:INFO:Importing libraries
- 2022-02-04 17:06:14,582:INFO:Copying training dataset
- 2022-02-04 17:06:14,583:INFO:Defining folds
- 2022-02-04 17:06:14,584:INFO:Declaring metric variables
- 2022-02-04 17:06:14,590:INFO:Importing untrained model
- 2022-02-04 17:06:14,591:INFO:Declaring custom model
- 2022-02-04 17:06:14,599:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 17:06:14,611:INFO:Starting cross validation
- 2022-02-04 17:06:14,613:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 17:06:55,887:INFO:Calculating mean and std
- 2022-02-04 17:06:55,888:INFO:Creating metrics dataframe
- 2022-02-04 17:06:55,898:INFO:Finalizing model
- 2022-02-04 17:06:59,997:INFO:Uploading results into container
- 2022-02-04 17:06:59,998:INFO:Uploading model into container now
- 2022-02-04 17:06:59,998:INFO:create_model_container: 2
- 2022-02-04 17:06:59,998:INFO:master_model_container: 2
- 2022-02-04 17:06:59,998:INFO:display_container: 3
- 2022-02-04 17:06:59,999:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, eta=0.05, gamma=0, gpu_id=0,
- importance_type=None, interaction_constraints='',
- learning_rate=0.300000012, max_delta_step=0, max_depth=32,
- max_leaves=255, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, ...)
- 2022-02-04 17:06:59,999:INFO:create_model() succesfully completed......................................
- 2022-02-04 17:07:00,097:INFO:SubProcess create_model() end ==================================
- 2022-02-04 17:07:00,105:INFO:create_model_container: 2
- 2022-02-04 17:07:00,105:INFO:master_model_container: 2
- 2022-02-04 17:07:00,105:INFO:display_container: 3
- 2022-02-04 17:07:00,106:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, eta=0.05, gamma=0, gpu_id=0,
- importance_type=None, interaction_constraints='',
- learning_rate=0.300000012, max_delta_step=0, max_depth=32,
- max_leaves=255, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, ...)
- 2022-02-04 17:07:00,106:INFO:tune_model() succesfully completed......................................
- 2022-02-04 17:10:08,398:INFO:Initializing tune_model()
- 2022-02-04 17:10:08,398:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-04 17:10:08,398:INFO:Checking exceptions
- 2022-02-04 17:10:08,399:INFO:Preparing display monitor
- 2022-02-04 17:10:08,409:INFO:Copying training dataset
- 2022-02-04 17:10:08,410:INFO:Checking base model
- 2022-02-04 17:10:08,411:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 17:10:08,417:INFO:Declaring metric variables
- 2022-02-04 17:10:08,421:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 17:10:08,520:INFO:Tuning with n_jobs=1
- 2022-02-04 17:10:08,520:INFO:Initializing RandomizedSearchCV
- 2022-02-04 17:11:10,654:INFO:PyCaret Supervised Module
- 2022-02-04 17:11:10,654:INFO:ML Usecase: classification
- 2022-02-04 17:11:10,655:INFO:version 2.3.6
- 2022-02-04 17:11:10,655:INFO:Initializing setup()
- 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)
- 2022-02-04 17:11:10,655:INFO:Checking environment
- 2022-02-04 17:11:10,655:INFO:python_version: 3.8.12
- 2022-02-04 17:11:10,655:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 17:11:10,655:INFO:machine: AMD64
- 2022-02-04 17:11:10,655:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 17:11:10,655:INFO:Memory: svmem(total=68629372928, available=42797850624, percent=37.6, used=25831522304, free=42797850624)
- 2022-02-04 17:11:10,655:INFO:Physical Core: 16
- 2022-02-04 17:11:10,655:INFO:Logical Core: 32
- 2022-02-04 17:11:10,655:INFO:Checking libraries
- 2022-02-04 17:11:10,655:INFO:pd==1.3.5
- 2022-02-04 17:11:10,655:INFO:numpy==1.21.5
- 2022-02-04 17:11:10,655:INFO:sklearn==0.23.2
- 2022-02-04 17:11:10,655:INFO:lightgbm==3.3.2
- 2022-02-04 17:11:10,666:INFO:catboost==1.0.4
- 2022-02-04 17:11:10,761:INFO:xgboost==1.5.2
- 2022-02-04 17:11:11,035:INFO:mlflow==1.23.1
- 2022-02-04 17:11:11,035:INFO:Checking Exceptions
- 2022-02-04 17:11:11,035:INFO:Declaring global variables
- 2022-02-04 17:11:11,035:INFO:USI: 79bd
- 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'}
- 2022-02-04 17:11:11,035:INFO:Preparing display monitor
- 2022-02-04 17:11:11,035:INFO:Preparing display monitor
- 2022-02-04 17:11:11,045:INFO:Importing libraries
- 2022-02-04 17:11:11,045:INFO:Copying data for preprocessing
- 2022-02-04 17:11:11,050:INFO:Declaring preprocessing parameters
- 2022-02-04 17:11:11,051:WARNING:cuML not found
- 2022-02-04 17:11:11,051:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 17:11:11,054:INFO:Creating preprocessing pipeline
- 2022-02-04 17:11:11,106:INFO:Preprocessing pipeline created successfully
- 2022-02-04 17:11:11,106:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 17:11:11,106:INFO:Creating global containers
- 2022-02-04 17:11:11,108:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 17:11:12,168:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 17:11:12,202:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 17:11:12,204:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 17:11:12,205:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 17:11:12,225:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 17:11:12,229:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 17:11:12,380:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 17:11:12,443:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 17:11:12,444:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 17:11:12,445:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 17:11:12,478:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 17:11:12,486:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 17:11:12,606:INFO:Creating grid variables
- 2022-02-04 17:11:12,620:INFO:create_model_container: 0
- 2022-02-04 17:11:12,620:INFO:master_model_container: 0
- 2022-02-04 17:11:12,621:INFO:display_container: 1
- 2022-02-04 17:11:12,626:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 17:11:12,626:INFO:setup() succesfully completed......................................
- 2022-02-04 17:11:24,301:INFO:Initializing create_model()
- 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})
- 2022-02-04 17:11:24,301:INFO:Checking exceptions
- 2022-02-04 17:11:24,301:INFO:Preparing display monitor
- 2022-02-04 17:11:24,312:INFO:Importing libraries
- 2022-02-04 17:11:24,312:INFO:Copying training dataset
- 2022-02-04 17:11:24,313:INFO:Defining folds
- 2022-02-04 17:11:24,313:INFO:Declaring metric variables
- 2022-02-04 17:11:24,318:INFO:Importing untrained model
- 2022-02-04 17:11:24,324:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 17:11:24,334:INFO:Starting cross validation
- 2022-02-04 17:11:24,335:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 17:11:35,859:INFO:Calculating mean and std
- 2022-02-04 17:11:35,860:INFO:Creating metrics dataframe
- 2022-02-04 17:11:35,870:INFO:Finalizing model
- 2022-02-04 17:11:37,147:INFO:Uploading results into container
- 2022-02-04 17:11:37,147:INFO:Uploading model into container now
- 2022-02-04 17:11:37,155:INFO:create_model_container: 1
- 2022-02-04 17:11:37,155:INFO:master_model_container: 1
- 2022-02-04 17:11:37,155:INFO:display_container: 2
- 2022-02-04 17:11:37,157:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 17:11:37,157:INFO:create_model() succesfully completed......................................
- 2022-02-04 17:11:54,479:INFO:Initializing tune_model()
- 2022-02-04 17:11:54,479:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-04 17:11:54,479:INFO:Checking exceptions
- 2022-02-04 17:11:54,480:INFO:Preparing display monitor
- 2022-02-04 17:11:54,490:INFO:Copying training dataset
- 2022-02-04 17:11:54,491:INFO:Checking base model
- 2022-02-04 17:11:54,491:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 17:11:54,496:INFO:Declaring metric variables
- 2022-02-04 17:11:54,501:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 17:11:54,595:INFO:Tuning with n_jobs=1
- 2022-02-04 17:11:54,595:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 17:29:01,658:INFO:Hyperparameter search completed
- 2022-02-04 17:29:01,658:INFO:SubProcess create_model() called ==================================
- 2022-02-04 17:29:01,659:INFO:Initializing create_model()
- 2022-02-04 17:29:01,659:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-04 17:29:01,659:INFO:Checking exceptions
- 2022-02-04 17:29:01,659:INFO:Importing libraries
- 2022-02-04 17:29:01,659:INFO:Copying training dataset
- 2022-02-04 17:29:01,661:INFO:Defining folds
- 2022-02-04 17:29:01,661:INFO:Declaring metric variables
- 2022-02-04 17:29:01,667:INFO:Importing untrained model
- 2022-02-04 17:29:01,667:INFO:Declaring custom model
- 2022-02-04 17:29:01,675:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 17:29:01,688:INFO:Starting cross validation
- 2022-02-04 17:29:01,689:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 17:31:23,895:INFO:Calculating mean and std
- 2022-02-04 17:31:23,896:INFO:Creating metrics dataframe
- 2022-02-04 17:31:23,905:INFO:Finalizing model
- 2022-02-04 17:31:39,416:INFO:Uploading results into container
- 2022-02-04 17:31:39,417:INFO:Uploading model into container now
- 2022-02-04 17:31:39,417:INFO:create_model_container: 2
- 2022-02-04 17:31:39,417:INFO:master_model_container: 2
- 2022-02-04 17:31:39,417:INFO:display_container: 3
- 2022-02-04 17:31:39,418:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 17:31:39,418:INFO:create_model() succesfully completed......................................
- 2022-02-04 17:31:39,495:INFO:SubProcess create_model() end ==================================
- 2022-02-04 17:31:39,503:INFO:create_model_container: 2
- 2022-02-04 17:31:39,503:INFO:master_model_container: 2
- 2022-02-04 17:31:39,503:INFO:display_container: 3
- 2022-02-04 17:31:39,504:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 17:31:39,504:INFO:tune_model() succesfully completed......................................
- 2022-02-07 08:13:52,179:INFO:Initializing evaluate_model()
- 2022-02-07 08:13:52,179:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 08:13:52,192:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:13:52,192:INFO:Checking exceptions
- 2022-02-07 08:13:52,196:INFO:Preparing display monitor
- 2022-02-07 08:13:52,200:INFO:Preloading libraries
- 2022-02-07 08:13:52,487:INFO:Copying training dataset
- 2022-02-07 08:13:52,489:INFO:Copying test dataset
- 2022-02-07 08:13:52,489:INFO:Plot type: parameter
- 2022-02-07 08:13:52,499:INFO:Visual Rendered Successfully
- 2022-02-07 08:13:52,587:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:14:47,246:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:14:47,247:INFO:Checking exceptions
- 2022-02-07 08:14:47,250:INFO:Preparing display monitor
- 2022-02-07 08:14:47,254:INFO:Preloading libraries
- 2022-02-07 08:14:47,533:INFO:Copying training dataset
- 2022-02-07 08:14:47,535:INFO:Copying test dataset
- 2022-02-07 08:14:47,535:INFO:Plot type: confusion_matrix
- 2022-02-07 08:14:47,542:INFO:Initializing get_config()
- 2022-02-07 08:14:47,542:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:14:47,545:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:14:47,545:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:14:47,556:INFO:Fitting Model
- 2022-02-07 08:14:47,558:INFO:Scoring test/hold-out set
- 2022-02-07 08:14:47,710:INFO:Visual Rendered Successfully
- 2022-02-07 08:14:47,799:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:16:55,028:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:16:55,028:INFO:Checking exceptions
- 2022-02-07 08:16:55,031:INFO:Preparing display monitor
- 2022-02-07 08:16:55,035:INFO:Preloading libraries
- 2022-02-07 08:16:55,319:INFO:Copying training dataset
- 2022-02-07 08:16:55,320:INFO:Copying test dataset
- 2022-02-07 08:16:55,320:INFO:Plot type: feature_all
- 2022-02-07 08:16:55,327:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-07 08:16:55,440:INFO:Visual Rendered Successfully
- 2022-02-07 08:16:55,522:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:20:54,526:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:20:54,526:INFO:Checking exceptions
- 2022-02-07 08:20:54,530:INFO:Preparing display monitor
- 2022-02-07 08:20:54,534:INFO:Preloading libraries
- 2022-02-07 08:20:54,830:INFO:Copying training dataset
- 2022-02-07 08:20:54,831:INFO:Copying test dataset
- 2022-02-07 08:20:54,831:INFO:Plot type: pr
- 2022-02-07 08:20:54,845:INFO:Fitting Model
- 2022-02-07 08:20:54,847:INFO:Scoring test/hold-out set
- 2022-02-07 08:20:54,982:INFO:Visual Rendered Successfully
- 2022-02-07 08:20:55,062:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:01,780:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:01,780:INFO:Checking exceptions
- 2022-02-07 08:21:01,783:INFO:Preparing display monitor
- 2022-02-07 08:21:01,787:INFO:Preloading libraries
- 2022-02-07 08:21:02,066:INFO:Copying training dataset
- 2022-02-07 08:21:02,067:INFO:Copying test dataset
- 2022-02-07 08:21:02,067:INFO:Plot type: parameter
- 2022-02-07 08:21:02,078:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:02,168:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:05,461:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:05,462:INFO:Checking exceptions
- 2022-02-07 08:21:05,465:INFO:Preparing display monitor
- 2022-02-07 08:21:05,469:INFO:Preloading libraries
- 2022-02-07 08:21:05,753:INFO:Copying training dataset
- 2022-02-07 08:21:05,754:INFO:Copying test dataset
- 2022-02-07 08:21:05,754:INFO:Plot type: auc
- 2022-02-07 08:21:05,760:INFO:Initializing get_config()
- 2022-02-07 08:21:05,761:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:21:05,764:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:21:05,764:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:21:05,771:INFO:Fitting Model
- 2022-02-07 08:21:05,773:INFO:Scoring test/hold-out set
- 2022-02-07 08:21:05,922:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:06,012:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:12,582:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:12,582:INFO:Checking exceptions
- 2022-02-07 08:21:12,585:INFO:Preparing display monitor
- 2022-02-07 08:21:12,589:INFO:Preloading libraries
- 2022-02-07 08:21:12,875:INFO:Copying training dataset
- 2022-02-07 08:21:12,876:INFO:Copying test dataset
- 2022-02-07 08:21:12,877:INFO:Plot type: confusion_matrix
- 2022-02-07 08:21:12,883:INFO:Initializing get_config()
- 2022-02-07 08:21:12,883:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:21:12,886:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:21:12,886:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:21:12,894:INFO:Fitting Model
- 2022-02-07 08:21:12,895:INFO:Scoring test/hold-out set
- 2022-02-07 08:21:13,033:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:13,119:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:24,379:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:24,379:INFO:Checking exceptions
- 2022-02-07 08:21:24,382:INFO:Preparing display monitor
- 2022-02-07 08:21:24,386:INFO:Preloading libraries
- 2022-02-07 08:21:24,667:INFO:Copying training dataset
- 2022-02-07 08:21:24,668:INFO:Copying test dataset
- 2022-02-07 08:21:24,669:INFO:Plot type: error
- 2022-02-07 08:21:24,675:INFO:Initializing get_config()
- 2022-02-07 08:21:24,675:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:21:24,678:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:21:24,678:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:21:24,686:INFO:Fitting Model
- 2022-02-07 08:21:24,687:INFO:Scoring test/hold-out set
- 2022-02-07 08:21:24,817:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:24,903:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:31,482:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:31,482:INFO:Checking exceptions
- 2022-02-07 08:21:31,485:INFO:Preparing display monitor
- 2022-02-07 08:21:31,489:INFO:Preloading libraries
- 2022-02-07 08:21:31,775:INFO:Copying training dataset
- 2022-02-07 08:21:31,776:INFO:Copying test dataset
- 2022-02-07 08:21:31,776:INFO:Plot type: class_report
- 2022-02-07 08:21:31,783:INFO:Initializing get_config()
- 2022-02-07 08:21:31,783:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:21:31,786:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:21:31,786:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:21:31,794:INFO:Fitting Model
- 2022-02-07 08:21:31,795:INFO:Scoring test/hold-out set
- 2022-02-07 08:21:31,967:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:32,064:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:23:25,292:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:23:25,292:INFO:Checking exceptions
- 2022-02-07 08:23:25,296:INFO:Preparing display monitor
- 2022-02-07 08:23:25,299:INFO:Preloading libraries
- 2022-02-07 08:23:25,584:INFO:Copying training dataset
- 2022-02-07 08:23:25,585:INFO:Copying test dataset
- 2022-02-07 08:23:25,585:INFO:Plot type: learning
- 2022-02-07 08:23:25,605:INFO:Fitting Model
- 2022-02-07 08:37:54,463:INFO:Visual Rendered Successfully
- 2022-02-07 08:37:54,542:INFO:plot_model() succesfully completed......................................
- 2022-02-07 10:49:16,101:INFO:Initializing interpret_model()
- 2022-02-07 10:49:16,101:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 10:49:16,101:INFO:Checking exceptions
- 2022-02-07 10:49:16,225:INFO:plot type: summary
- 2022-02-07 10:49:16,225:INFO:Creating TreeExplainer
- 2022-02-07 10:49:17,492:INFO:Compiling shap values
- 2022-02-07 10:49:20,098:INFO:Visual Rendered Successfully
- 2022-02-07 10:49:20,098:INFO:interpret_model() succesfully completed......................................
- 2022-02-07 10:54:39,848:INFO:PyCaret Supervised Module
- 2022-02-07 10:54:39,849:INFO:ML Usecase: classification
- 2022-02-07 10:54:39,849:INFO:version 2.3.6
- 2022-02-07 10:54:39,849:INFO:Initializing setup()
- 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)
- 2022-02-07 10:54:39,849:INFO:Checking environment
- 2022-02-07 10:54:39,849:INFO:python_version: 3.8.12
- 2022-02-07 10:54:39,849:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 10:54:39,849:INFO:machine: AMD64
- 2022-02-07 10:54:39,849:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 10:54:39,849:INFO:Memory: svmem(total=68629372928, available=56005222400, percent=18.4, used=12624150528, free=56005222400)
- 2022-02-07 10:54:39,849:INFO:Physical Core: 16
- 2022-02-07 10:54:39,849:INFO:Logical Core: 32
- 2022-02-07 10:54:39,849:INFO:Checking libraries
- 2022-02-07 10:54:39,849:INFO:pd==1.3.5
- 2022-02-07 10:54:39,849:INFO:numpy==1.21.5
- 2022-02-07 10:54:39,849:INFO:sklearn==0.23.2
- 2022-02-07 10:54:39,850:INFO:lightgbm==3.3.2
- 2022-02-07 10:54:40,131:INFO:catboost==1.0.4
- 2022-02-07 10:54:40,439:INFO:xgboost==1.5.2
- 2022-02-07 10:54:41,145:INFO:mlflow==1.23.1
- 2022-02-07 10:54:41,146:INFO:Checking Exceptions
- 2022-02-07 10:54:41,147:INFO:Declaring global variables
- 2022-02-07 10:54:41,147:INFO:USI: ece6
- 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'}
- 2022-02-07 10:54:41,147:INFO:Preparing display monitor
- 2022-02-07 10:54:41,147:INFO:Preparing display monitor
- 2022-02-07 10:54:41,157:INFO:Importing libraries
- 2022-02-07 10:54:41,157:INFO:Copying data for preprocessing
- 2022-02-07 10:54:41,163:INFO:Declaring preprocessing parameters
- 2022-02-07 10:54:41,163:WARNING:cuML not found
- 2022-02-07 10:54:41,163:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 10:54:41,167:INFO:Creating preprocessing pipeline
- 2022-02-07 10:54:41,221:INFO:Preprocessing pipeline created successfully
- 2022-02-07 10:54:41,221:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 10:54:41,222:INFO:Creating global containers
- 2022-02-07 10:54:41,224:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 10:55:08,904:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 10:55:08,938:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 10:55:08,940:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 10:55:08,941:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 10:55:08,962:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 10:55:08,966:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 10:55:09,417:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 10:55:09,478:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 10:55:09,479:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 10:55:09,481:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 10:55:09,513:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 10:55:09,517:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 10:55:09,637:INFO:Creating grid variables
- 2022-02-07 10:55:09,651:INFO:create_model_container: 0
- 2022-02-07 10:55:09,651:INFO:master_model_container: 0
- 2022-02-07 10:55:09,651:INFO:display_container: 1
- 2022-02-07 10:55:09,657:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 10:55:09,657:INFO:setup() succesfully completed......................................
- 2022-02-07 11:01:55,359:INFO:Initializing create_model()
- 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})
- 2022-02-07 11:01:55,359:INFO:Checking exceptions
- 2022-02-07 11:01:55,359:INFO:Preparing display monitor
- 2022-02-07 11:01:55,370:INFO:Importing libraries
- 2022-02-07 11:01:55,371:INFO:Copying training dataset
- 2022-02-07 11:01:55,372:INFO:Defining folds
- 2022-02-07 11:01:55,372:INFO:Declaring metric variables
- 2022-02-07 11:01:55,376:INFO:Importing untrained model
- 2022-02-07 11:01:55,382:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 11:01:55,392:INFO:Starting cross validation
- 2022-02-07 11:01:55,393:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 11:02:32,717:INFO:Calculating mean and std
- 2022-02-07 11:02:32,718:INFO:Creating metrics dataframe
- 2022-02-07 11:02:32,730:INFO:Finalizing model
- 2022-02-07 11:02:36,461:INFO:Uploading results into container
- 2022-02-07 11:02:36,461:INFO:Uploading model into container now
- 2022-02-07 11:02:36,469:INFO:create_model_container: 1
- 2022-02-07 11:02:36,470:INFO:master_model_container: 1
- 2022-02-07 11:02:36,470:INFO:display_container: 2
- 2022-02-07 11:02:36,471:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=1024,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=1504,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-07 11:02:36,471:INFO:create_model() succesfully completed......................................
- 2022-02-07 11:03:16,205:INFO:Initializing create_model()
- 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})
- 2022-02-07 11:03:16,205:INFO:Checking exceptions
- 2022-02-07 11:03:16,205:INFO:Preparing display monitor
- 2022-02-07 11:03:16,217:INFO:Importing libraries
- 2022-02-07 11:03:16,217:INFO:Copying training dataset
- 2022-02-07 11:03:16,218:INFO:Defining folds
- 2022-02-07 11:03:16,218:INFO:Declaring metric variables
- 2022-02-07 11:03:16,223:INFO:Importing untrained model
- 2022-02-07 11:03:16,228:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 11:03:16,237:INFO:Starting cross validation
- 2022-02-07 11:03:16,238:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 11:03:27,978:INFO:Calculating mean and std
- 2022-02-07 11:03:27,979:INFO:Creating metrics dataframe
- 2022-02-07 11:03:27,990:INFO:Finalizing model
- 2022-02-07 11:03:28,919:INFO:Uploading results into container
- 2022-02-07 11:03:28,919:INFO:Uploading model into container now
- 2022-02-07 11:03:28,926:INFO:create_model_container: 2
- 2022-02-07 11:03:28,926:INFO:master_model_container: 2
- 2022-02-07 11:03:28,927:INFO:display_container: 3
- 2022-02-07 11:03:28,928:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 11:03:28,928:INFO:create_model() succesfully completed......................................
- 2022-02-07 11:05:44,992:INFO:Initializing get_config()
- 2022-02-07 11:05:44,992:INFO:get_config(variable=prep_pipe)
- 2022-02-07 11:05:44,995:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 11:05:44,995:INFO:get_config() succesfully completed......................................
- 2022-02-07 11:09:06,796:INFO:Initializing tune_model()
- 2022-02-07 11:09:06,796:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-07 11:09:06,796:INFO:Checking exceptions
- 2022-02-07 11:09:06,797:INFO:Preparing display monitor
- 2022-02-07 11:09:06,808:INFO:Copying training dataset
- 2022-02-07 11:09:06,809:INFO:Checking base model
- 2022-02-07 11:09:06,809:INFO:Base model : Extreme Gradient Boosting
- 2022-02-07 11:09:06,815:INFO:Declaring metric variables
- 2022-02-07 11:09:06,820:INFO:Defining Hyperparameters
- 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]}
- 2022-02-07 11:09:06,960:INFO:Tuning with n_jobs=1
- 2022-02-07 11:09:06,960:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-07 11:21:18,769:INFO:Hyperparameter search completed
- 2022-02-07 11:21:18,769:INFO:SubProcess create_model() called ==================================
- 2022-02-07 11:21:18,770:INFO:Initializing create_model()
- 2022-02-07 11:21:18,770:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-07 11:21:18,770:INFO:Checking exceptions
- 2022-02-07 11:21:18,770:INFO:Importing libraries
- 2022-02-07 11:21:18,770:INFO:Copying training dataset
- 2022-02-07 11:21:18,772:INFO:Defining folds
- 2022-02-07 11:21:18,772:INFO:Declaring metric variables
- 2022-02-07 11:21:18,779:INFO:Importing untrained model
- 2022-02-07 11:21:18,779:INFO:Declaring custom model
- 2022-02-07 11:21:18,787:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 11:21:18,800:INFO:Starting cross validation
- 2022-02-07 11:21:18,801:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 11:23:07,265:INFO:Calculating mean and std
- 2022-02-07 11:23:07,266:INFO:Creating metrics dataframe
- 2022-02-07 11:23:07,276:INFO:Finalizing model
- 2022-02-07 11:23:20,419:INFO:Uploading results into container
- 2022-02-07 11:23:20,420:INFO:Uploading model into container now
- 2022-02-07 11:23:20,420:INFO:create_model_container: 3
- 2022-02-07 11:23:20,420:INFO:master_model_container: 3
- 2022-02-07 11:23:20,420:INFO:display_container: 4
- 2022-02-07 11:23:20,421:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 11:23:20,421:INFO:create_model() succesfully completed......................................
- 2022-02-07 11:23:20,563:INFO:SubProcess create_model() end ==================================
- 2022-02-07 11:23:20,571:INFO:create_model_container: 3
- 2022-02-07 11:23:20,571:INFO:master_model_container: 3
- 2022-02-07 11:23:20,571:INFO:display_container: 4
- 2022-02-07 11:23:20,572:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 11:23:20,572:INFO:tune_model() succesfully completed......................................
- 2022-02-07 11:25:13,263:INFO:Initializing interpret_model()
- 2022-02-07 11:25:13,263:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 11:25:13,263:INFO:Checking exceptions
- 2022-02-07 11:25:13,380:INFO:plot type: summary
- 2022-02-07 11:25:13,380:INFO:Creating TreeExplainer
- 2022-02-07 11:25:14,729:INFO:Compiling shap values
- 2022-02-07 11:25:16,213:INFO:Visual Rendered Successfully
- 2022-02-07 11:25:16,213:INFO:interpret_model() succesfully completed......................................
- 2022-02-07 11:46:23,513:INFO:Initializing evaluate_model()
- 2022-02-07 11:46:23,513:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 11:46:23,528:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 11:46:23,528:INFO:Checking exceptions
- 2022-02-07 11:46:23,532:INFO:Preparing display monitor
- 2022-02-07 11:46:23,536:INFO:Preloading libraries
- 2022-02-07 11:46:23,843:INFO:Copying training dataset
- 2022-02-07 11:46:23,845:INFO:Copying test dataset
- 2022-02-07 11:46:23,845:INFO:Plot type: parameter
- 2022-02-07 11:46:23,856:INFO:Visual Rendered Successfully
- 2022-02-07 11:46:23,998:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:52:57,875:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:52:57,876:INFO:Checking exceptions
- 2022-02-07 12:52:57,879:INFO:Preparing display monitor
- 2022-02-07 12:52:57,883:INFO:Preloading libraries
- 2022-02-07 12:52:58,185:INFO:Copying training dataset
- 2022-02-07 12:52:58,186:INFO:Copying test dataset
- 2022-02-07 12:52:58,186:INFO:Plot type: lift
- 2022-02-07 12:52:58,193:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 12:52:58,513:INFO:Visual Rendered Successfully
- 2022-02-07 12:52:58,662:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:03,460:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:03,460:INFO:Checking exceptions
- 2022-02-07 12:53:03,463:INFO:Preparing display monitor
- 2022-02-07 12:53:03,468:INFO:Preloading libraries
- 2022-02-07 12:53:03,764:INFO:Copying training dataset
- 2022-02-07 12:53:03,765:INFO:Copying test dataset
- 2022-02-07 12:53:03,766:INFO:Plot type: gain
- 2022-02-07 12:53:03,772:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 12:53:04,096:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:04,241:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:06,997:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:06,997:INFO:Checking exceptions
- 2022-02-07 12:53:07,001:INFO:Preparing display monitor
- 2022-02-07 12:53:07,004:INFO:Preloading libraries
- 2022-02-07 12:53:07,294:INFO:Copying training dataset
- 2022-02-07 12:53:07,295:INFO:Copying test dataset
- 2022-02-07 12:53:07,296:INFO:Plot type: feature_all
- 2022-02-07 12:53:07,303:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-07 12:53:07,328:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:07,461:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:19,722:INFO:Initializing evaluate_model()
- 2022-02-07 12:53:19,722:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 12:53:19,735:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:19,735:INFO:Checking exceptions
- 2022-02-07 12:53:19,738:INFO:Preparing display monitor
- 2022-02-07 12:53:19,742:INFO:Preloading libraries
- 2022-02-07 12:53:20,044:INFO:Copying training dataset
- 2022-02-07 12:53:20,045:INFO:Copying test dataset
- 2022-02-07 12:53:20,046:INFO:Plot type: parameter
- 2022-02-07 12:53:20,057:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:20,192:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:22,104:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:22,104:INFO:Checking exceptions
- 2022-02-07 12:53:22,108:INFO:Preparing display monitor
- 2022-02-07 12:53:22,111:INFO:Preloading libraries
- 2022-02-07 12:53:22,402:INFO:Copying training dataset
- 2022-02-07 12:53:22,403:INFO:Copying test dataset
- 2022-02-07 12:53:22,403:INFO:Plot type: lift
- 2022-02-07 12:53:22,410:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 12:53:22,738:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:22,880:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:24,534:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:24,534:INFO:Checking exceptions
- 2022-02-07 12:53:24,537:INFO:Preparing display monitor
- 2022-02-07 12:53:24,541:INFO:Preloading libraries
- 2022-02-07 12:53:24,832:INFO:Copying training dataset
- 2022-02-07 12:53:24,833:INFO:Copying test dataset
- 2022-02-07 12:53:24,834:INFO:Plot type: parameter
- 2022-02-07 12:53:24,845:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:24,972:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:27,064:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:27,064:INFO:Checking exceptions
- 2022-02-07 12:53:27,068:INFO:Preparing display monitor
- 2022-02-07 12:53:27,071:INFO:Preloading libraries
- 2022-02-07 12:53:27,355:INFO:Copying training dataset
- 2022-02-07 12:53:27,356:INFO:Copying test dataset
- 2022-02-07 12:53:27,357:INFO:Plot type: confusion_matrix
- 2022-02-07 12:53:27,364:INFO:Initializing get_config()
- 2022-02-07 12:53:27,364:INFO:get_config(variable=prep_pipe)
- 2022-02-07 12:53:27,367:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 12:53:27,367:INFO:get_config() succesfully completed......................................
- 2022-02-07 12:53:27,375:INFO:Fitting Model
- 2022-02-07 12:53:27,376:INFO:Scoring test/hold-out set
- 2022-02-07 12:53:27,495:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:27,627:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:36,704:INFO:Initializing interpret_model()
- 2022-02-07 12:53:36,704:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:36,704:INFO:Checking exceptions
- 2022-02-07 12:53:36,704:INFO:plot type: summary
- 2022-02-07 12:53:36,704:INFO:Creating TreeExplainer
- 2022-02-07 12:53:38,057:INFO:Compiling shap values
- 2022-02-07 12:53:39,525:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:39,525:INFO:interpret_model() succesfully completed......................................
- 2022-02-07 12:53:49,150:INFO:Initializing interpret_model()
- 2022-02-07 12:53:49,150:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:49,150:INFO:Checking exceptions
- 2022-02-07 12:53:49,150:INFO:plot type: summary
- 2022-02-07 12:53:49,150:INFO:Creating TreeExplainer
- 2022-02-07 12:53:50,482:INFO:Compiling shap values
- 2022-02-07 12:53:51,834:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:51,834:INFO:interpret_model() succesfully completed......................................
- 2022-02-07 12:54:04,494:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:54:04,494:INFO:Checking exceptions
- 2022-02-07 12:54:04,498:INFO:Preparing display monitor
- 2022-02-07 12:54:04,502:INFO:Preloading libraries
- 2022-02-07 12:54:04,841:INFO:Copying training dataset
- 2022-02-07 12:54:04,842:INFO:Copying test dataset
- 2022-02-07 12:54:04,843:INFO:Plot type: parameter
- 2022-02-07 12:54:04,855:INFO:Visual Rendered Successfully
- 2022-02-07 12:54:05,002:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:54:06,693:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:54:06,693:INFO:Checking exceptions
- 2022-02-07 12:54:06,696:INFO:Preparing display monitor
- 2022-02-07 12:54:06,700:INFO:Preloading libraries
- 2022-02-07 12:54:06,990:INFO:Copying training dataset
- 2022-02-07 12:54:06,991:INFO:Copying test dataset
- 2022-02-07 12:54:06,992:INFO:Plot type: auc
- 2022-02-07 12:54:06,999:INFO:Initializing get_config()
- 2022-02-07 12:54:06,999:INFO:get_config(variable=prep_pipe)
- 2022-02-07 12:54:07,002:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 12:54:07,002:INFO:get_config() succesfully completed......................................
- 2022-02-07 12:54:07,010:INFO:Fitting Model
- 2022-02-07 12:54:07,012:INFO:Scoring test/hold-out set
- 2022-02-07 12:54:07,069:INFO:Visual Rendered Successfully
- 2022-02-07 12:54:07,218:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:54:24,937:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:54:24,937:INFO:Checking exceptions
- 2022-02-07 12:54:24,941:INFO:Preparing display monitor
- 2022-02-07 12:54:24,944:INFO:Preloading libraries
- 2022-02-07 12:54:25,236:INFO:Copying training dataset
- 2022-02-07 12:54:25,237:INFO:Copying test dataset
- 2022-02-07 12:54:25,238:INFO:Plot type: confusion_matrix
- 2022-02-07 12:54:25,245:INFO:Initializing get_config()
- 2022-02-07 12:54:25,245:INFO:get_config(variable=prep_pipe)
- 2022-02-07 12:54:25,248:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 12:54:25,249:INFO:get_config() succesfully completed......................................
- 2022-02-07 12:54:25,256:INFO:Fitting Model
- 2022-02-07 12:54:25,257:INFO:Scoring test/hold-out set
- 2022-02-07 12:54:25,363:INFO:Visual Rendered Successfully
- 2022-02-07 12:54:25,488:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:54:40,456:INFO:Initializing get_config()
- 2022-02-07 12:54:40,456:INFO:get_config(variable=prep_pipe)
- 2022-02-07 12:54:40,460:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 12:54:40,460:INFO:get_config() succesfully completed......................................
- 2022-02-07 12:55:49,610:INFO:Initializing save_model()
- 2022-02-07 12:55:49,610:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-02-07 12:55:49,611:INFO:Adding model into prep_pipe
- 2022-02-07 12:55:49,808:INFO:tuned_xgboost_0207.pkl saved in current working directory
- 2022-02-07 12:55:49,816:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-02-07 12:55:49,816:INFO:save_model() successfully completed......................................
- 2022-02-07 12:58:52,123:INFO:Initializing load_model()
- 2022-02-07 12:58:52,123:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 12:59:17,131:INFO:Initializing evaluate_model()
- 2022-02-07 12:59:17,131:INFO:evaluate_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 13:00:03,866:INFO:PyCaret Supervised Module
- 2022-02-07 13:00:03,866:INFO:ML Usecase: classification
- 2022-02-07 13:00:03,866:INFO:version 2.3.6
- 2022-02-07 13:00:03,866:INFO:Initializing setup()
- 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)
- 2022-02-07 13:00:03,866:INFO:Checking environment
- 2022-02-07 13:00:03,866:INFO:python_version: 3.8.12
- 2022-02-07 13:00:03,866:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 13:00:03,866:INFO:machine: AMD64
- 2022-02-07 13:00:03,866:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 13:00:03,866:INFO:Memory: svmem(total=68629372928, available=52282277888, percent=23.8, used=16347095040, free=52282277888)
- 2022-02-07 13:00:03,867:INFO:Physical Core: 16
- 2022-02-07 13:00:03,867:INFO:Logical Core: 32
- 2022-02-07 13:00:03,867:INFO:Checking libraries
- 2022-02-07 13:00:03,867:INFO:pd==1.3.5
- 2022-02-07 13:00:03,867:INFO:numpy==1.21.5
- 2022-02-07 13:00:03,867:INFO:sklearn==0.23.2
- 2022-02-07 13:00:03,867:INFO:lightgbm==3.3.2
- 2022-02-07 13:00:04,056:INFO:catboost==1.0.4
- 2022-02-07 13:00:04,056:INFO:xgboost==1.5.2
- 2022-02-07 13:00:04,667:INFO:mlflow==1.23.1
- 2022-02-07 13:00:04,667:INFO:Checking Exceptions
- 2022-02-07 13:00:04,667:INFO:Declaring global variables
- 2022-02-07 13:00:04,667:INFO:USI: dde2
- 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'}
- 2022-02-07 13:00:04,667:INFO:Preparing display monitor
- 2022-02-07 13:00:04,667:INFO:Preparing display monitor
- 2022-02-07 13:00:04,677:INFO:Importing libraries
- 2022-02-07 13:00:04,677:INFO:Copying data for preprocessing
- 2022-02-07 13:00:04,682:INFO:Declaring preprocessing parameters
- 2022-02-07 13:00:04,683:WARNING:cuML not found
- 2022-02-07 13:00:04,683:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 13:00:04,686:INFO:Creating preprocessing pipeline
- 2022-02-07 13:00:04,741:INFO:Preprocessing pipeline created successfully
- 2022-02-07 13:00:04,741:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 13:00:04,741:INFO:Creating global containers
- 2022-02-07 13:00:04,741:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 13:00:06,883:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:00:06,919:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:00:06,921:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:00:06,922:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:00:06,941:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:00:06,945:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:00:07,301:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:00:07,362:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:00:07,363:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:00:07,364:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:00:07,395:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:00:07,402:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:00:07,536:INFO:Creating grid variables
- 2022-02-07 13:00:07,550:INFO:create_model_container: 0
- 2022-02-07 13:00:07,551:INFO:master_model_container: 0
- 2022-02-07 13:00:07,551:INFO:display_container: 1
- 2022-02-07 13:00:07,557:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:00:07,557:INFO:setup() succesfully completed......................................
- 2022-02-07 13:00:12,038:INFO:Initializing load_model()
- 2022-02-07 13:00:12,038:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:00:15,388:INFO:Initializing evaluate_model()
- 2022-02-07 13:00:15,388:INFO:evaluate_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 13:00:15,408:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:00:15,408:INFO:Checking exceptions
- 2022-02-07 13:00:15,409:INFO:Preparing display monitor
- 2022-02-07 13:00:15,413:INFO:Preloading libraries
- 2022-02-07 13:00:15,735:INFO:Copying training dataset
- 2022-02-07 13:00:15,736:INFO:Copying test dataset
- 2022-02-07 13:00:15,737:INFO:Plot type: parameter
- 2022-02-07 13:00:15,743:INFO:Visual Rendered Successfully
- 2022-02-07 13:00:15,869:INFO:plot_model() succesfully completed......................................
- 2022-02-07 13:00:20,027:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:00:20,027:INFO:Checking exceptions
- 2022-02-07 13:00:20,028:INFO:Preparing display monitor
- 2022-02-07 13:00:20,032:INFO:Preloading libraries
- 2022-02-07 13:00:20,345:INFO:Copying training dataset
- 2022-02-07 13:00:20,347:INFO:Copying test dataset
- 2022-02-07 13:00:20,347:INFO:Plot type: auc
- 2022-02-07 13:00:20,349:INFO:Initializing get_config()
- 2022-02-07 13:00:20,349:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:00:20,353:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:00:20,353:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:00:20,365:INFO:Fitting Model
- 2022-02-07 13:01:30,029:INFO:PyCaret Supervised Module
- 2022-02-07 13:01:30,029:INFO:ML Usecase: classification
- 2022-02-07 13:01:30,029:INFO:version 2.3.6
- 2022-02-07 13:01:30,029:INFO:Initializing setup()
- 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)
- 2022-02-07 13:01:30,029:INFO:Checking environment
- 2022-02-07 13:01:30,029:INFO:python_version: 3.8.12
- 2022-02-07 13:01:30,029:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 13:01:30,029:INFO:machine: AMD64
- 2022-02-07 13:01:30,029:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 13:01:30,029:INFO:Memory: svmem(total=68629372928, available=52333809664, percent=23.7, used=16295563264, free=52333809664)
- 2022-02-07 13:01:30,029:INFO:Physical Core: 16
- 2022-02-07 13:01:30,030:INFO:Logical Core: 32
- 2022-02-07 13:01:30,030:INFO:Checking libraries
- 2022-02-07 13:01:30,030:INFO:pd==1.3.5
- 2022-02-07 13:01:30,030:INFO:numpy==1.21.5
- 2022-02-07 13:01:30,030:INFO:sklearn==0.23.2
- 2022-02-07 13:01:30,030:INFO:lightgbm==3.3.2
- 2022-02-07 13:01:30,040:INFO:catboost==1.0.4
- 2022-02-07 13:01:30,131:INFO:xgboost==1.5.2
- 2022-02-07 13:01:30,408:INFO:mlflow==1.23.1
- 2022-02-07 13:01:30,408:INFO:Checking Exceptions
- 2022-02-07 13:01:30,408:INFO:Declaring global variables
- 2022-02-07 13:01:30,408:INFO:USI: 6390
- 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'}
- 2022-02-07 13:01:30,408:INFO:Preparing display monitor
- 2022-02-07 13:01:30,408:INFO:Preparing display monitor
- 2022-02-07 13:01:30,418:INFO:Importing libraries
- 2022-02-07 13:01:30,418:INFO:Copying data for preprocessing
- 2022-02-07 13:01:30,423:INFO:Declaring preprocessing parameters
- 2022-02-07 13:01:30,424:WARNING:cuML not found
- 2022-02-07 13:01:30,424:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 13:01:30,427:INFO:Creating preprocessing pipeline
- 2022-02-07 13:01:30,478:INFO:Preprocessing pipeline created successfully
- 2022-02-07 13:01:30,479:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 13:01:30,479:INFO:Creating global containers
- 2022-02-07 13:01:30,481:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 13:01:31,676:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:01:31,710:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:01:31,712:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:01:31,712:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:01:31,732:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:01:31,736:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:01:31,901:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:01:31,962:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:01:31,963:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:01:31,964:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:01:31,994:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:01:32,000:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:01:32,124:INFO:Creating grid variables
- 2022-02-07 13:01:32,138:INFO:create_model_container: 0
- 2022-02-07 13:01:32,138:INFO:master_model_container: 0
- 2022-02-07 13:01:32,138:INFO:display_container: 1
- 2022-02-07 13:01:32,144:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:01:32,144:INFO:setup() succesfully completed......................................
- 2022-02-07 13:01:34,273:INFO:Initializing load_model()
- 2022-02-07 13:01:34,273:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:01:37,451:INFO:Initializing evaluate_model()
- 2022-02-07 13:01:37,451:INFO:evaluate_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 13:01:37,471:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:01:37,471:INFO:Checking exceptions
- 2022-02-07 13:01:37,472:INFO:Preparing display monitor
- 2022-02-07 13:01:37,476:INFO:Preloading libraries
- 2022-02-07 13:01:37,798:INFO:Copying training dataset
- 2022-02-07 13:01:37,800:INFO:Copying test dataset
- 2022-02-07 13:01:37,800:INFO:Plot type: parameter
- 2022-02-07 13:01:37,807:INFO:Visual Rendered Successfully
- 2022-02-07 13:01:37,894:INFO:plot_model() succesfully completed......................................
- 2022-02-07 13:01:43,401:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:01:43,401:INFO:Checking exceptions
- 2022-02-07 13:01:43,402:INFO:Preparing display monitor
- 2022-02-07 13:01:43,406:INFO:Preloading libraries
- 2022-02-07 13:01:43,727:INFO:Copying training dataset
- 2022-02-07 13:01:43,728:INFO:Copying test dataset
- 2022-02-07 13:01:43,728:INFO:Plot type: confusion_matrix
- 2022-02-07 13:01:43,730:INFO:Initializing get_config()
- 2022-02-07 13:01:43,731:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:01:43,734:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:01:43,734:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:01:43,746:INFO:Fitting Model
- 2022-02-07 13:02:39,038:INFO:PyCaret Supervised Module
- 2022-02-07 13:02:39,038:INFO:ML Usecase: classification
- 2022-02-07 13:02:39,038:INFO:version 2.3.6
- 2022-02-07 13:02:39,038:INFO:Initializing setup()
- 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)
- 2022-02-07 13:02:39,038:INFO:Checking environment
- 2022-02-07 13:02:39,038:INFO:python_version: 3.8.12
- 2022-02-07 13:02:39,038:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 13:02:39,038:INFO:machine: AMD64
- 2022-02-07 13:02:39,038:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 13:02:39,038:INFO:Memory: svmem(total=68629372928, available=52405063680, percent=23.6, used=16224309248, free=52405063680)
- 2022-02-07 13:02:39,038:INFO:Physical Core: 16
- 2022-02-07 13:02:39,039:INFO:Logical Core: 32
- 2022-02-07 13:02:39,039:INFO:Checking libraries
- 2022-02-07 13:02:39,039:INFO:pd==1.3.5
- 2022-02-07 13:02:39,039:INFO:numpy==1.21.5
- 2022-02-07 13:02:39,039:INFO:sklearn==0.23.2
- 2022-02-07 13:02:39,039:INFO:lightgbm==3.3.2
- 2022-02-07 13:02:39,049:INFO:catboost==1.0.4
- 2022-02-07 13:02:39,138:INFO:xgboost==1.5.2
- 2022-02-07 13:02:39,417:INFO:mlflow==1.23.1
- 2022-02-07 13:02:39,417:INFO:Checking Exceptions
- 2022-02-07 13:02:39,418:INFO:Declaring global variables
- 2022-02-07 13:02:39,418:INFO:USI: 8c64
- 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'}
- 2022-02-07 13:02:39,418:INFO:Preparing display monitor
- 2022-02-07 13:02:39,418:INFO:Preparing display monitor
- 2022-02-07 13:02:39,428:INFO:Importing libraries
- 2022-02-07 13:02:39,428:INFO:Copying data for preprocessing
- 2022-02-07 13:02:39,434:INFO:Declaring preprocessing parameters
- 2022-02-07 13:02:39,435:WARNING:cuML not found
- 2022-02-07 13:02:39,435:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 13:02:39,438:INFO:Creating preprocessing pipeline
- 2022-02-07 13:02:39,490:INFO:Preprocessing pipeline created successfully
- 2022-02-07 13:02:39,490:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 13:02:39,490:INFO:Creating global containers
- 2022-02-07 13:02:39,492:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 13:02:41,586:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:02:41,619:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:02:41,621:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:02:41,622:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:02:41,642:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:02:41,646:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:02:41,811:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:02:41,870:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:02:41,870:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:02:41,872:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:02:41,902:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:02:41,906:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:02:42,029:INFO:Creating grid variables
- 2022-02-07 13:02:42,042:INFO:create_model_container: 0
- 2022-02-07 13:02:42,042:INFO:master_model_container: 0
- 2022-02-07 13:02:42,042:INFO:display_container: 1
- 2022-02-07 13:02:42,048:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:02:42,048:INFO:setup() succesfully completed......................................
- 2022-02-07 13:02:44,391:INFO:Initializing load_model()
- 2022-02-07 13:02:44,392:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:02:52,323:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-02-07 13:02:52,323:INFO:Checking exceptions
- 2022-02-07 13:02:52,324:INFO:Preparing display monitor
- 2022-02-07 13:02:52,328:INFO:Preloading libraries
- 2022-02-07 13:02:52,650:INFO:Copying training dataset
- 2022-02-07 13:02:52,651:INFO:Copying test dataset
- 2022-02-07 13:02:52,652:INFO:Plot type: auc
- 2022-02-07 13:02:52,654:INFO:Initializing get_config()
- 2022-02-07 13:02:52,654:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:02:52,657:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:02:52,657:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:02:52,669:INFO:Fitting Model
- 2022-02-07 13:04:02,747:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:04:02,747:INFO:Checking exceptions
- 2022-02-07 13:04:02,751:INFO:Preparing display monitor
- 2022-02-07 13:04:02,755:INFO:Preloading libraries
- 2022-02-07 13:04:03,050:INFO:Copying training dataset
- 2022-02-07 13:04:03,051:INFO:Copying test dataset
- 2022-02-07 13:04:03,052:INFO:Plot type: parameter
- 2022-02-07 13:04:03,062:INFO:Visual Rendered Successfully
- 2022-02-07 13:04:03,198:INFO:plot_model() succesfully completed......................................
- 2022-02-07 13:04:36,782:INFO:Initializing predict_model()
- 2022-02-07 13:04:36,782:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:04:36,782:INFO:Checking exceptions
- 2022-02-07 13:04:36,782:INFO:Preloading libraries
- 2022-02-07 13:04:36,782:INFO:Preparing display monitor
- 2022-02-07 13:06:05,079:INFO:Initializing finalize_model()
- 2022-02-07 13:06:05,080:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
- 2022-02-07 13:06:05,081:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 13:06:05,082:INFO:Initializing create_model()
- 2022-02-07 13:06:05,082:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-07 13:06:05,082:INFO:Checking exceptions
- 2022-02-07 13:06:05,082:INFO:Importing libraries
- 2022-02-07 13:06:05,082:INFO:Copying training dataset
- 2022-02-07 13:06:05,084:INFO:Defining folds
- 2022-02-07 13:06:05,084:INFO:Declaring metric variables
- 2022-02-07 13:06:05,084:INFO:Importing untrained model
- 2022-02-07 13:06:05,084:INFO:Declaring custom model
- 2022-02-07 13:06:05,085:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 13:06:05,085:INFO:Starting cross validation
- 2022-02-07 13:06:05,086:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 13:08:16,281:INFO:Calculating mean and std
- 2022-02-07 13:08:16,281:INFO:Creating metrics dataframe
- 2022-02-07 13:08:16,284:INFO:Finalizing model
- 2022-02-07 13:08:30,142:INFO:create_model_container: 3
- 2022-02-07 13:08:30,142:INFO:master_model_container: 3
- 2022-02-07 13:08:30,142:INFO:display_container: 6
- 2022-02-07 13:08:30,143:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 13:08:30,143:INFO:create_model() succesfully completed......................................
- 2022-02-07 13:08:30,275:INFO:create_model_container: 3
- 2022-02-07 13:08:30,276:INFO:master_model_container: 3
- 2022-02-07 13:08:30,276:INFO:display_container: 5
- 2022-02-07 13:08:30,277:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 13:08:30,277:INFO:finalize_model() succesfully completed......................................
- 2022-02-07 13:08:30,415:INFO:Initializing predict_model()
- 2022-02-07 13:08:30,415:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:08:30,415:INFO:Checking exceptions
- 2022-02-07 13:08:30,415:INFO:Preloading libraries
- 2022-02-07 13:08:30,415:INFO:Preparing display monitor
- 2022-02-07 13:20:36,220:INFO:Initializing predict_model()
- 2022-02-07 13:20:36,220:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:20:36,220:INFO:Checking exceptions
- 2022-02-07 13:20:36,220:INFO:Preloading libraries
- 2022-02-07 13:20:36,220:INFO:Preparing display monitor
- 2022-02-07 13:20:48,036:INFO:Initializing predict_model()
- 2022-02-07 13:20:48,036:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:20:48,036:INFO:Checking exceptions
- 2022-02-07 13:20:48,036:INFO:Preloading libraries
- 2022-02-07 13:20:48,036:INFO:Preparing display monitor
- 2022-02-07 13:21:08,950:INFO:Initializing predict_model()
- 2022-02-07 13:21:08,951:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:21:08,951:INFO:Checking exceptions
- 2022-02-07 13:21:08,951:INFO:Preloading libraries
- 2022-02-07 13:21:08,951:INFO:Preparing display monitor
- 2022-02-07 13:21:19,375:INFO:Initializing predict_model()
- 2022-02-07 13:21:19,375:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:21:19,375:INFO:Checking exceptions
- 2022-02-07 13:21:19,375:INFO:Preloading libraries
- 2022-02-07 13:21:19,375:INFO:Preparing display monitor
- 2022-02-07 13:21:43,616:INFO:Initializing save_model()
- 2022-02-07 13:21:43,616:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-02-07 13:21:43,616:INFO:Adding model into prep_pipe
- 2022-02-07 13:21:43,870:INFO:tuned_xgboost_0207.pkl saved in current working directory
- 2022-02-07 13:21:43,877:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-02-07 13:21:43,877:INFO:save_model() successfully completed......................................
- 2022-02-07 13:22:16,465:INFO:Initializing load_model()
- 2022-02-07 13:22:16,465:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:22:20,404:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-02-07 13:22:20,404:INFO:Checking exceptions
- 2022-02-07 13:22:20,404:INFO:Preparing display monitor
- 2022-02-07 13:22:20,408:INFO:Preloading libraries
- 2022-02-07 13:22:20,827:INFO:Copying training dataset
- 2022-02-07 13:22:20,828:INFO:Copying test dataset
- 2022-02-07 13:22:20,829:INFO:Plot type: auc
- 2022-02-07 13:22:20,831:INFO:Initializing get_config()
- 2022-02-07 13:22:20,831:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:22:20,834:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:22:20,834:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:22:20,843:INFO:Fitting Model
- 2022-02-07 13:22:40,008:INFO:Initializing load_model()
- 2022-02-07 13:22:40,008:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:22:42,819:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-02-07 13:22:42,819:INFO:Checking exceptions
- 2022-02-07 13:22:42,820:INFO:Preparing display monitor
- 2022-02-07 13:22:42,824:INFO:Preloading libraries
- 2022-02-07 13:22:43,243:INFO:Copying training dataset
- 2022-02-07 13:22:43,245:INFO:Copying test dataset
- 2022-02-07 13:22:43,245:INFO:Plot type: auc
- 2022-02-07 13:22:43,247:INFO:Initializing get_config()
- 2022-02-07 13:22:43,247:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:22:43,250:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:22:43,250:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:22:43,259:INFO:Fitting Model
- 2022-02-07 13:25:13,172:INFO:PyCaret Supervised Module
- 2022-02-07 13:25:13,172:INFO:ML Usecase: classification
- 2022-02-07 13:25:13,172:INFO:version 2.3.6
- 2022-02-07 13:25:13,172:INFO:Initializing setup()
- 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)
- 2022-02-07 13:25:13,172:INFO:Checking environment
- 2022-02-07 13:25:13,172:INFO:python_version: 3.8.12
- 2022-02-07 13:25:13,172:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 13:25:13,172:INFO:machine: AMD64
- 2022-02-07 13:25:13,172:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 13:25:13,172:INFO:Memory: svmem(total=68629372928, available=51734814720, percent=24.6, used=16894558208, free=51734814720)
- 2022-02-07 13:25:13,173:INFO:Physical Core: 16
- 2022-02-07 13:25:13,173:INFO:Logical Core: 32
- 2022-02-07 13:25:13,173:INFO:Checking libraries
- 2022-02-07 13:25:13,173:INFO:pd==1.3.5
- 2022-02-07 13:25:13,173:INFO:numpy==1.21.5
- 2022-02-07 13:25:13,173:INFO:sklearn==0.23.2
- 2022-02-07 13:25:13,173:INFO:lightgbm==3.3.2
- 2022-02-07 13:25:13,173:INFO:catboost==1.0.4
- 2022-02-07 13:25:13,173:INFO:xgboost==1.5.2
- 2022-02-07 13:25:13,173:INFO:mlflow==1.23.1
- 2022-02-07 13:25:13,173:INFO:Checking Exceptions
- 2022-02-07 13:25:13,173:INFO:Declaring global variables
- 2022-02-07 13:25:13,173:INFO:USI: dcd1
- 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'}
- 2022-02-07 13:25:13,173:INFO:Preparing display monitor
- 2022-02-07 13:25:13,173:INFO:Preparing display monitor
- 2022-02-07 13:25:13,180:INFO:Importing libraries
- 2022-02-07 13:25:13,181:INFO:Copying data for preprocessing
- 2022-02-07 13:25:13,186:INFO:Declaring preprocessing parameters
- 2022-02-07 13:25:13,187:WARNING:cuML not found
- 2022-02-07 13:25:13,187:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 13:25:13,191:INFO:Creating preprocessing pipeline
- 2022-02-07 13:25:13,244:INFO:Preprocessing pipeline created successfully
- 2022-02-07 13:25:13,244:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 13:25:13,244:INFO:Creating global containers
- 2022-02-07 13:25:13,244:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 13:25:15,939:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:25:15,973:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:25:15,973:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:25:15,974:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:25:15,991:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:25:15,995:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:25:16,151:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:25:16,209:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:25:16,210:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:25:16,212:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:25:16,244:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:25:16,250:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:25:16,400:INFO:Creating grid variables
- 2022-02-07 13:25:16,414:INFO:create_model_container: 0
- 2022-02-07 13:25:16,414:INFO:master_model_container: 0
- 2022-02-07 13:25:16,414:INFO:display_container: 1
- 2022-02-07 13:25:16,419:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:25:16,420:INFO:setup() succesfully completed......................................
- 2022-02-07 13:25:18,279:INFO:Initializing load_model()
- 2022-02-07 13:25:18,279:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:25:22,638:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-02-07 13:25:22,638:INFO:Checking exceptions
- 2022-02-07 13:25:22,638:INFO:Preparing display monitor
- 2022-02-07 13:25:22,642:INFO:Preloading libraries
- 2022-02-07 13:25:23,058:INFO:Copying training dataset
- 2022-02-07 13:25:23,059:INFO:Copying test dataset
- 2022-02-07 13:25:23,059:INFO:Plot type: auc
- 2022-02-07 13:25:23,061:INFO:Initializing get_config()
- 2022-02-07 13:25:23,061:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:25:23,064:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:25:23,064:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:25:23,073:INFO:Fitting Model
- 2022-02-07 13:25:50,593:INFO:Initializing evaluate_model()
- 2022-02-07 13:25:50,594:INFO:evaluate_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 13:25:50,613:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:25:50,613:INFO:Checking exceptions
- 2022-02-07 13:25:50,614:INFO:Preparing display monitor
- 2022-02-07 13:25:50,618:INFO:Preloading libraries
- 2022-02-07 13:25:51,029:INFO:Copying training dataset
- 2022-02-07 13:25:51,030:INFO:Copying test dataset
- 2022-02-07 13:25:51,031:INFO:Plot type: parameter
- 2022-02-07 13:25:51,037:INFO:Visual Rendered Successfully
- 2022-02-07 13:25:51,224:INFO:plot_model() succesfully completed......................................
- 2022-02-07 13:25:55,815:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:25:55,815:INFO:Checking exceptions
- 2022-02-07 13:25:55,816:INFO:Preparing display monitor
- 2022-02-07 13:25:55,820:INFO:Preloading libraries
- 2022-02-07 13:25:56,228:INFO:Copying training dataset
- 2022-02-07 13:25:56,229:INFO:Copying test dataset
- 2022-02-07 13:25:56,229:INFO:Plot type: auc
- 2022-02-07 13:25:56,231:INFO:Initializing get_config()
- 2022-02-07 13:25:56,231:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:25:56,235:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:25:56,235:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:25:56,243:INFO:Fitting Model
- 2022-02-07 13:26:36,710:INFO:Initializing load_model()
- 2022-02-07 13:26:36,711:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:26:52,718:INFO:Initializing predict_model()
- 2022-02-07 13:26:52,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-07 13:26:52,718:INFO:Checking exceptions
- 2022-02-07 13:26:52,718:INFO:Preloading libraries
- 2022-02-07 13:27:02,174:INFO:Initializing predict_model()
- 2022-02-07 13:27:02,174:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-07 13:27:02,175:INFO:Checking exceptions
- 2022-02-07 13:27:02,175:INFO:Preloading libraries
- 2022-02-07 13:27:55,631:INFO:Initializing predict_model()
- 2022-02-07 13:27:55,631:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-07 13:27:55,631:INFO:Checking exceptions
- 2022-02-07 13:27:55,631:INFO:Preloading libraries
- 2022-02-07 13:28:16,161:INFO:Initializing predict_model()
- 2022-02-07 13:28:16,161:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-07 13:28:16,161:INFO:Checking exceptions
- 2022-02-07 13:28:16,162:INFO:Preloading libraries
- 2022-02-07 15:53:27,752:INFO:Initializing evaluate_model()
- 2022-02-07 15:53:27,753:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 15:53:27,765:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 15:53:27,766:INFO:Checking exceptions
- 2022-02-07 15:53:27,769:INFO:Preparing display monitor
- 2022-02-07 15:53:27,774:INFO:Preloading libraries
- 2022-02-07 15:53:28,079:INFO:Copying training dataset
- 2022-02-07 15:53:28,080:INFO:Copying test dataset
- 2022-02-07 15:53:28,081:INFO:Plot type: parameter
- 2022-02-07 15:53:28,093:INFO:Visual Rendered Successfully
- 2022-02-07 15:53:28,260:INFO:plot_model() succesfully completed......................................
- 2022-02-07 15:53:30,113:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 15:53:30,115:INFO:Checking exceptions
- 2022-02-07 15:53:30,117:INFO:Preparing display monitor
- 2022-02-07 15:53:30,122:INFO:Preloading libraries
- 2022-02-07 15:53:30,420:INFO:Copying training dataset
- 2022-02-07 15:53:30,421:INFO:Copying test dataset
- 2022-02-07 15:53:30,421:INFO:Plot type: confusion_matrix
- 2022-02-07 15:53:30,427:INFO:Initializing get_config()
- 2022-02-07 15:53:30,427:INFO:get_config(variable=prep_pipe)
- 2022-02-07 15:53:30,430:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 15:53:30,430:INFO:get_config() succesfully completed......................................
- 2022-02-07 15:53:30,438:INFO:Fitting Model
- 2022-02-07 15:53:30,439:INFO:Scoring test/hold-out set
- 2022-02-07 15:53:30,545:INFO:Visual Rendered Successfully
- 2022-02-07 15:53:30,698:INFO:plot_model() succesfully completed......................................
- 2022-02-07 15:54:17,997:INFO:PyCaret Supervised Module
- 2022-02-07 15:54:17,997:INFO:ML Usecase: classification
- 2022-02-07 15:54:17,997:INFO:version 2.3.6
- 2022-02-07 15:54:17,997:INFO:Initializing setup()
- 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)
- 2022-02-07 15:54:17,997:INFO:Checking environment
- 2022-02-07 15:54:17,997:INFO:python_version: 3.8.12
- 2022-02-07 15:54:17,997:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 15:54:17,998:INFO:machine: AMD64
- 2022-02-07 15:54:17,998:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 15:54:17,998:INFO:Memory: svmem(total=68629372928, available=52433874944, percent=23.6, used=16195497984, free=52433874944)
- 2022-02-07 15:54:17,998:INFO:Physical Core: 16
- 2022-02-07 15:54:17,998:INFO:Logical Core: 32
- 2022-02-07 15:54:17,998:INFO:Checking libraries
- 2022-02-07 15:54:17,998:INFO:pd==1.3.5
- 2022-02-07 15:54:17,998:INFO:numpy==1.21.5
- 2022-02-07 15:54:17,998:INFO:sklearn==0.23.2
- 2022-02-07 15:54:17,998:INFO:lightgbm==3.3.2
- 2022-02-07 15:54:18,013:INFO:catboost==1.0.4
- 2022-02-07 15:54:18,113:INFO:xgboost==1.5.2
- 2022-02-07 15:54:18,449:INFO:mlflow==1.23.1
- 2022-02-07 15:54:18,449:INFO:Checking Exceptions
- 2022-02-07 15:54:18,450:INFO:Declaring global variables
- 2022-02-07 15:54:18,450:INFO:USI: 5a58
- 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'}
- 2022-02-07 15:54:18,450:INFO:Preparing display monitor
- 2022-02-07 15:54:18,450:INFO:Preparing display monitor
- 2022-02-07 15:54:18,460:INFO:Importing libraries
- 2022-02-07 15:54:18,460:INFO:Copying data for preprocessing
- 2022-02-07 15:54:18,466:INFO:Declaring preprocessing parameters
- 2022-02-07 15:54:18,467:WARNING:cuML not found
- 2022-02-07 15:54:18,467:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 15:54:18,470:INFO:Creating preprocessing pipeline
- 2022-02-07 15:54:18,525:INFO:Preprocessing pipeline created successfully
- 2022-02-07 15:54:18,525:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 15:54:18,525:INFO:Creating global containers
- 2022-02-07 15:54:18,527:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 15:54:20,800:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 15:54:20,833:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 15:54:20,835:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 15:54:20,836:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 15:54:20,857:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 15:54:20,861:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 15:54:21,028:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 15:54:21,088:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 15:54:21,089:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 15:54:21,091:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 15:54:21,121:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 15:54:21,125:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 15:54:21,256:INFO:Creating grid variables
- 2022-02-07 15:54:21,269:INFO:create_model_container: 0
- 2022-02-07 15:54:21,269:INFO:master_model_container: 0
- 2022-02-07 15:54:21,269:INFO:display_container: 1
- 2022-02-07 15:54:21,275:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 15:54:21,275:INFO:setup() succesfully completed......................................
- 2022-02-07 15:54:24,887:INFO:Initializing create_model()
- 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})
- 2022-02-07 15:54:24,888:INFO:Checking exceptions
- 2022-02-07 15:54:24,888:INFO:Preparing display monitor
- 2022-02-07 15:54:24,899:INFO:Importing libraries
- 2022-02-07 15:54:24,899:INFO:Copying training dataset
- 2022-02-07 15:54:24,900:INFO:Defining folds
- 2022-02-07 15:54:24,900:INFO:Declaring metric variables
- 2022-02-07 15:54:24,905:INFO:Importing untrained model
- 2022-02-07 15:54:24,910:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 15:54:24,920:INFO:Starting cross validation
- 2022-02-07 15:54:24,921:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 15:54:37,335:INFO:Calculating mean and std
- 2022-02-07 15:54:37,336:INFO:Creating metrics dataframe
- 2022-02-07 15:54:37,346:INFO:Finalizing model
- 2022-02-07 15:54:38,355:INFO:Uploading results into container
- 2022-02-07 15:54:38,355:INFO:Uploading model into container now
- 2022-02-07 15:54:38,363:INFO:create_model_container: 1
- 2022-02-07 15:54:38,363:INFO:master_model_container: 1
- 2022-02-07 15:54:38,363:INFO:display_container: 2
- 2022-02-07 15:54:38,364:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 15:54:38,364:INFO:create_model() succesfully completed......................................
- 2022-02-07 15:54:52,151:INFO:Initializing tune_model()
- 2022-02-07 15:54:52,152:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-07 15:54:52,152:INFO:Checking exceptions
- 2022-02-07 15:54:52,152:INFO:Preparing display monitor
- 2022-02-07 15:54:52,163:INFO:Copying training dataset
- 2022-02-07 15:54:52,164:INFO:Checking base model
- 2022-02-07 15:54:52,164:INFO:Base model : Extreme Gradient Boosting
- 2022-02-07 15:54:52,170:INFO:Declaring metric variables
- 2022-02-07 15:54:52,175:INFO:Defining Hyperparameters
- 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]}
- 2022-02-07 15:54:52,264:INFO:Tuning with n_jobs=1
- 2022-02-07 15:54:52,264:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-07 16:06:58,596:INFO:Hyperparameter search completed
- 2022-02-07 16:06:58,596:INFO:SubProcess create_model() called ==================================
- 2022-02-07 16:06:58,597:INFO:Initializing create_model()
- 2022-02-07 16:06:58,597:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-07 16:06:58,597:INFO:Checking exceptions
- 2022-02-07 16:06:58,597:INFO:Importing libraries
- 2022-02-07 16:06:58,597:INFO:Copying training dataset
- 2022-02-07 16:06:58,599:INFO:Defining folds
- 2022-02-07 16:06:58,599:INFO:Declaring metric variables
- 2022-02-07 16:06:58,605:INFO:Importing untrained model
- 2022-02-07 16:06:58,605:INFO:Declaring custom model
- 2022-02-07 16:06:58,613:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 16:06:58,625:INFO:Starting cross validation
- 2022-02-07 16:06:58,626:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 16:08:54,655:INFO:Calculating mean and std
- 2022-02-07 16:08:54,656:INFO:Creating metrics dataframe
- 2022-02-07 16:08:54,666:INFO:Finalizing model
- 2022-02-07 16:09:06,436:INFO:Uploading results into container
- 2022-02-07 16:09:06,436:INFO:Uploading model into container now
- 2022-02-07 16:09:06,436:INFO:create_model_container: 2
- 2022-02-07 16:09:06,436:INFO:master_model_container: 2
- 2022-02-07 16:09:06,436:INFO:display_container: 3
- 2022-02-07 16:09:06,437:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:09:06,437:INFO:create_model() succesfully completed......................................
- 2022-02-07 16:09:06,513:INFO:SubProcess create_model() end ==================================
- 2022-02-07 16:09:06,521:INFO:create_model_container: 2
- 2022-02-07 16:09:06,521:INFO:master_model_container: 2
- 2022-02-07 16:09:06,521:INFO:display_container: 3
- 2022-02-07 16:09:06,522:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:09:06,522:INFO:tune_model() succesfully completed......................................
- 2022-02-07 16:27:22,917:INFO:Initializing finalize_model()
- 2022-02-07 16:27:22,917:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
- 2022-02-07 16:27:22,918:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:27:22,919:INFO:Initializing create_model()
- 2022-02-07 16:27:22,919:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-07 16:27:22,919:INFO:Checking exceptions
- 2022-02-07 16:27:22,919:INFO:Importing libraries
- 2022-02-07 16:27:22,919:INFO:Copying training dataset
- 2022-02-07 16:27:22,921:INFO:Defining folds
- 2022-02-07 16:27:22,921:INFO:Declaring metric variables
- 2022-02-07 16:27:22,921:INFO:Importing untrained model
- 2022-02-07 16:27:22,921:INFO:Declaring custom model
- 2022-02-07 16:27:22,922:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 16:27:22,922:INFO:Starting cross validation
- 2022-02-07 16:27:22,923:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 16:29:34,627:INFO:Calculating mean and std
- 2022-02-07 16:29:34,628:INFO:Creating metrics dataframe
- 2022-02-07 16:29:34,630:INFO:Finalizing model
- 2022-02-07 16:29:48,339:INFO:create_model_container: 2
- 2022-02-07 16:29:48,340:INFO:master_model_container: 2
- 2022-02-07 16:29:48,340:INFO:display_container: 4
- 2022-02-07 16:29:48,341:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:29:48,341:INFO:create_model() succesfully completed......................................
- 2022-02-07 16:29:48,426:INFO:create_model_container: 2
- 2022-02-07 16:29:48,427:INFO:master_model_container: 2
- 2022-02-07 16:29:48,427:INFO:display_container: 3
- 2022-02-07 16:29:48,428:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:29:48,428:INFO:finalize_model() succesfully completed......................................
- 2022-02-07 16:29:48,524:INFO:Initializing save_model()
- 2022-02-07 16:29:48,524:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-02-07 16:29:48,524:INFO:Adding model into prep_pipe
- 2022-02-07 16:29:48,771:INFO:tuned_xgboost_0207.pkl saved in current working directory
- 2022-02-07 16:29:48,778:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-02-07 16:29:48,779:INFO:save_model() successfully completed......................................
- 2022-02-07 16:29:48,861:INFO:Initializing predict_model()
- 2022-02-07 16:29:48,861:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:29:48,861:INFO:Checking exceptions
- 2022-02-07 16:29:48,861:INFO:Preloading libraries
- 2022-02-07 16:29:48,861:INFO:Preparing display monitor
- 2022-02-07 16:40:58,715:INFO:Initializing predict_model()
- 2022-02-07 16:40:58,715:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:40:58,715:INFO:Checking exceptions
- 2022-02-07 16:40:58,716:INFO:Preloading libraries
- 2022-02-07 16:40:58,716:INFO:Preparing display monitor
- 2022-02-07 16:41:14,873:INFO:Initializing predict_model()
- 2022-02-07 16:41:14,873:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:41:14,873:INFO:Checking exceptions
- 2022-02-07 16:41:14,873:INFO:Preloading libraries
- 2022-02-07 16:41:14,873:INFO:Preparing display monitor
- 2022-02-07 16:42:02,306:INFO:Initializing predict_model()
- 2022-02-07 16:42:02,307:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:42:02,307:INFO:Checking exceptions
- 2022-02-07 16:42:02,307:INFO:Preloading libraries
- 2022-02-07 16:42:02,307:INFO:Preparing display monitor
- 2022-02-07 16:42:08,151:INFO:Initializing predict_model()
- 2022-02-07 16:42:08,151:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:42:08,151:INFO:Checking exceptions
- 2022-02-07 16:42:08,151:INFO:Preloading libraries
- 2022-02-07 16:42:08,151:INFO:Preparing display monitor
- 2022-02-07 16:42:12,479:INFO:Initializing predict_model()
- 2022-02-07 16:42:12,480:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:42:12,480:INFO:Checking exceptions
- 2022-02-07 16:42:12,480:INFO:Preloading libraries
- 2022-02-07 16:42:12,480:INFO:Preparing display monitor
- 2022-02-07 16:42:36,568:INFO:Initializing predict_model()
- 2022-02-07 16:42:36,568:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:42:36,568:INFO:Checking exceptions
- 2022-02-07 16:42:36,568:INFO:Preloading libraries
- 2022-02-07 16:42:36,568:INFO:Preparing display monitor
- 2022-02-07 16:45:18,004:INFO:Initializing predict_model()
- 2022-02-07 16:45:18,004:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:45:18,004:INFO:Checking exceptions
- 2022-02-07 16:45:18,004:INFO:Preloading libraries
- 2022-02-07 16:45:18,004:INFO:Preparing display monitor
- 2022-02-07 16:46:24,221:INFO:Initializing predict_model()
- 2022-02-07 16:46:24,221:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:46:24,221:INFO:Checking exceptions
- 2022-02-07 16:46:24,221:INFO:Preloading libraries
- 2022-02-07 16:46:24,221:INFO:Preparing display monitor
- 2022-02-07 16:47:05,594:INFO:Initializing predict_model()
- 2022-02-07 16:47:05,594:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:47:05,594:INFO:Checking exceptions
- 2022-02-07 16:47:05,594:INFO:Preloading libraries
- 2022-02-07 16:47:05,594:INFO:Preparing display monitor
- 2022-02-07 16:47:09,727:INFO:Initializing predict_model()
- 2022-02-07 16:47:09,728:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:47:09,728:INFO:Checking exceptions
- 2022-02-07 16:47:09,728:INFO:Preloading libraries
- 2022-02-07 16:47:09,728:INFO:Preparing display monitor
- 2022-02-07 16:47:20,301:INFO:Initializing predict_model()
- 2022-02-07 16:47:20,301:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:47:20,301:INFO:Checking exceptions
- 2022-02-07 16:47:20,301:INFO:Preloading libraries
- 2022-02-07 16:47:20,301:INFO:Preparing display monitor
- 2022-02-07 17:02:13,972:INFO:Initializing evaluate_model()
- 2022-02-07 17:02:13,972:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 17:02:13,986:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:13,987:INFO:Checking exceptions
- 2022-02-07 17:02:13,990:INFO:Preparing display monitor
- 2022-02-07 17:02:13,994:INFO:Preloading libraries
- 2022-02-07 17:02:14,290:INFO:Copying training dataset
- 2022-02-07 17:02:14,292:INFO:Copying test dataset
- 2022-02-07 17:02:14,292:INFO:Plot type: parameter
- 2022-02-07 17:02:14,303:INFO:Visual Rendered Successfully
- 2022-02-07 17:02:14,411:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:02:16,480:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:16,481:INFO:Checking exceptions
- 2022-02-07 17:02:16,484:INFO:Preparing display monitor
- 2022-02-07 17:02:16,488:INFO:Preloading libraries
- 2022-02-07 17:02:16,771:INFO:Copying training dataset
- 2022-02-07 17:02:16,772:INFO:Copying test dataset
- 2022-02-07 17:02:16,772:INFO:Plot type: confusion_matrix
- 2022-02-07 17:02:16,780:INFO:Initializing get_config()
- 2022-02-07 17:02:16,780:INFO:get_config(variable=prep_pipe)
- 2022-02-07 17:02:16,783:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 17:02:16,783:INFO:get_config() succesfully completed......................................
- 2022-02-07 17:02:16,794:INFO:Fitting Model
- 2022-02-07 17:02:16,796:INFO:Scoring test/hold-out set
- 2022-02-07 17:02:16,951:INFO:Visual Rendered Successfully
- 2022-02-07 17:02:17,051:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:02:25,458:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:25,458:INFO:Checking exceptions
- 2022-02-07 17:02:25,461:INFO:Preparing display monitor
- 2022-02-07 17:02:25,465:INFO:Preloading libraries
- 2022-02-07 17:02:25,767:INFO:Copying training dataset
- 2022-02-07 17:02:25,769:INFO:Copying test dataset
- 2022-02-07 17:02:25,769:INFO:Plot type: lift
- 2022-02-07 17:02:25,776:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 17:02:26,209:INFO:Visual Rendered Successfully
- 2022-02-07 17:02:26,319:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:02:29,212:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:29,212:INFO:Checking exceptions
- 2022-02-07 17:02:29,215:INFO:Preparing display monitor
- 2022-02-07 17:02:29,219:INFO:Preloading libraries
- 2022-02-07 17:02:29,519:INFO:Copying training dataset
- 2022-02-07 17:02:29,521:INFO:Copying test dataset
- 2022-02-07 17:02:29,521:INFO:Plot type: gain
- 2022-02-07 17:02:29,528:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 17:02:29,953:INFO:Visual Rendered Successfully
- 2022-02-07 17:02:30,057:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:02:40,994:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:40,994:INFO:Checking exceptions
- 2022-02-07 17:02:40,997:INFO:Preparing display monitor
- 2022-02-07 17:02:41,001:INFO:Preloading libraries
- 2022-02-07 17:02:41,302:INFO:Copying training dataset
- 2022-02-07 17:02:41,303:INFO:Copying test dataset
- 2022-02-07 17:02:41,303:INFO:Plot type: vc
- 2022-02-07 17:02:41,310:INFO:Determining param_name
- 2022-02-07 17:02:41,311:INFO:param_name: actual_estimator__max_depth
- 2022-02-07 17:02:41,324:INFO:Fitting Model
- 2022-02-07 17:04:10,018:INFO:Visual Rendered Successfully
- 2022-02-07 17:04:10,123:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:04:35,286:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:04:35,287:INFO:Checking exceptions
- 2022-02-07 17:04:35,290:INFO:Preparing display monitor
- 2022-02-07 17:04:35,294:INFO:Preloading libraries
- 2022-02-07 17:04:35,602:INFO:Copying training dataset
- 2022-02-07 17:04:35,603:INFO:Copying test dataset
- 2022-02-07 17:04:35,604:INFO:Plot type: auc
- 2022-02-07 17:04:35,610:INFO:Initializing get_config()
- 2022-02-07 17:04:35,610:INFO:get_config(variable=prep_pipe)
- 2022-02-07 17:04:35,614:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 17:04:35,614:INFO:get_config() succesfully completed......................................
- 2022-02-07 17:04:35,622:INFO:Fitting Model
- 2022-02-07 17:04:35,623:INFO:Scoring test/hold-out set
- 2022-02-07 17:04:35,770:INFO:Visual Rendered Successfully
- 2022-02-07 17:04:35,870:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:04:38,824:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:04:38,824:INFO:Checking exceptions
- 2022-02-07 17:04:38,828:INFO:Preparing display monitor
- 2022-02-07 17:04:38,832:INFO:Preloading libraries
- 2022-02-07 17:04:39,127:INFO:Copying training dataset
- 2022-02-07 17:04:39,127:INFO:Copying test dataset
- 2022-02-07 17:04:39,128:INFO:Plot type: vc
- 2022-02-07 17:04:39,134:INFO:Determining param_name
- 2022-02-07 17:04:39,135:INFO:param_name: actual_estimator__max_depth
- 2022-02-07 17:04:39,143:INFO:Fitting Model
- 2022-02-07 17:06:06,017:INFO:Visual Rendered Successfully
- 2022-02-07 17:06:06,123:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:06:34,598:INFO:Initializing predict_model()
- 2022-02-07 17:06:34,598:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:06:34,598:INFO:Checking exceptions
- 2022-02-07 17:06:34,598:INFO:Preloading libraries
- 2022-02-07 17:06:34,598:INFO:Preparing display monitor
- 2022-02-08 09:39:59,359:INFO:Initializing predict_model()
- 2022-02-08 09:39:59,359:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:39:59,359:INFO:Checking exceptions
- 2022-02-08 09:39:59,359:INFO:Preloading libraries
- 2022-02-08 09:39:59,359:INFO:Preparing display monitor
- 2022-02-08 09:40:21,354:INFO:Initializing predict_model()
- 2022-02-08 09:40:21,355:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:40:21,355:INFO:Checking exceptions
- 2022-02-08 09:40:21,355:INFO:Preloading libraries
- 2022-02-08 09:40:21,355:INFO:Preparing display monitor
- 2022-02-08 09:41:04,152:INFO:Initializing predict_model()
- 2022-02-08 09:41:04,152:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:41:04,152:INFO:Checking exceptions
- 2022-02-08 09:41:04,153:INFO:Preloading libraries
- 2022-02-08 09:41:04,153:INFO:Preparing display monitor
- 2022-02-08 09:41:07,602:INFO:Initializing predict_model()
- 2022-02-08 09:41:07,602:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:41:07,602:INFO:Checking exceptions
- 2022-02-08 09:41:07,602:INFO:Preloading libraries
- 2022-02-08 09:41:07,603:INFO:Preparing display monitor
- 2022-02-08 09:41:35,620:INFO:Initializing predict_model()
- 2022-02-08 09:41:35,621:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:41:35,621:INFO:Checking exceptions
- 2022-02-08 09:41:35,621:INFO:Preloading libraries
- 2022-02-08 09:41:35,621:INFO:Preparing display monitor
- 2022-02-08 09:41:44,516:INFO:Initializing predict_model()
- 2022-02-08 09:41:44,516:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:41:44,516:INFO:Checking exceptions
- 2022-02-08 09:41:44,516:INFO:Preloading libraries
- 2022-02-08 09:41:44,516:INFO:Preparing display monitor
- 2022-02-08 09:42:08,746:INFO:Initializing predict_model()
- 2022-02-08 09:42:08,746:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:42:08,746:INFO:Checking exceptions
- 2022-02-08 09:42:08,746:INFO:Preloading libraries
- 2022-02-08 09:42:08,746:INFO:Preparing display monitor
- 2022-02-08 09:42:19,789:INFO:Initializing predict_model()
- 2022-02-08 09:42:19,789:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:42:19,789:INFO:Checking exceptions
- 2022-02-08 09:42:19,789:INFO:Preloading libraries
- 2022-02-08 09:42:19,789:INFO:Preparing display monitor
- 2022-02-08 09:42:26,235:INFO:Initializing predict_model()
- 2022-02-08 09:42:26,235:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:42:26,235:INFO:Checking exceptions
- 2022-02-08 09:42:26,235:INFO:Preloading libraries
- 2022-02-08 09:42:26,235:INFO:Preparing display monitor
- 2022-02-08 16:02:29,206:INFO:PyCaret Supervised Module
- 2022-02-08 16:02:29,206:INFO:ML Usecase: classification
- 2022-02-08 16:02:29,206:INFO:version 2.3.6
- 2022-02-08 16:02:29,206:INFO:Initializing setup()
- 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)
- 2022-02-08 16:02:29,206:INFO:Checking environment
- 2022-02-08 16:02:29,207:INFO:python_version: 3.8.12
- 2022-02-08 16:02:29,207:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-08 16:02:29,207:INFO:machine: AMD64
- 2022-02-08 16:02:29,207:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-08 16:02:29,207:INFO:Memory: svmem(total=68629372928, available=49740906496, percent=27.5, used=18888466432, free=49740906496)
- 2022-02-08 16:02:29,207:INFO:Physical Core: 16
- 2022-02-08 16:02:29,207:INFO:Logical Core: 32
- 2022-02-08 16:02:29,207:INFO:Checking libraries
- 2022-02-08 16:02:29,207:INFO:pd==1.3.5
- 2022-02-08 16:02:29,207:INFO:numpy==1.21.5
- 2022-02-08 16:02:29,207:INFO:sklearn==0.23.2
- 2022-02-08 16:02:29,207:INFO:lightgbm==3.3.2
- 2022-02-08 16:02:29,412:INFO:catboost==1.0.4
- 2022-02-08 16:02:29,748:INFO:xgboost==1.5.2
- 2022-02-08 16:02:30,046:INFO:mlflow==1.23.1
- 2022-02-08 16:02:30,047:INFO:Checking Exceptions
- 2022-02-08 16:02:30,047:INFO:Declaring global variables
- 2022-02-08 16:02:30,047:INFO:USI: a3a1
- 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'}
- 2022-02-08 16:02:30,047:INFO:Preparing display monitor
- 2022-02-08 16:02:30,047:INFO:Preparing display monitor
- 2022-02-08 16:02:30,057:INFO:Importing libraries
- 2022-02-08 16:02:30,057:INFO:Copying data for preprocessing
- 2022-02-08 16:02:30,062:INFO:Declaring preprocessing parameters
- 2022-02-08 16:02:30,063:WARNING:cuML not found
- 2022-02-08 16:02:30,063:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-08 16:02:30,066:INFO:Creating preprocessing pipeline
- 2022-02-08 16:02:30,118:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:02:30,118:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:02:30,118:INFO:Creating global containers
- 2022-02-08 16:02:30,121:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:02:31,384:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:02:31,419:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:02:31,421:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:02:31,422:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:02:31,443:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:02:31,447:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:02:31,855:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:02:31,917:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:02:31,918:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:02:31,919:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:02:31,952:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:02:31,956:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:02:32,098:INFO:Creating grid variables
- 2022-02-08 16:02:32,111:INFO:create_model_container: 0
- 2022-02-08 16:02:32,111:INFO:master_model_container: 0
- 2022-02-08 16:02:32,111:INFO:display_container: 1
- 2022-02-08 16:02:32,117:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:02:32,117:INFO:setup() succesfully completed......................................
- 2022-02-08 16:03:55,539:INFO:Initializing load_model()
- 2022-02-08 16:03:55,539:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:03:55,794:INFO:Initializing predict_model()
- 2022-02-08 16:03:55,794:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:03:55,794:INFO:Checking exceptions
- 2022-02-08 16:03:55,794:INFO:Preloading libraries
- 2022-02-08 16:03:55,794:INFO:Preparing display monitor
- 2022-02-08 16:04:11,126:INFO:Initializing load_model()
- 2022-02-08 16:04:11,126:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:04:11,305:INFO:Initializing predict_model()
- 2022-02-08 16:04:11,305:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:04:11,306:INFO:Checking exceptions
- 2022-02-08 16:04:11,306:INFO:Preloading libraries
- 2022-02-08 16:04:11,306:INFO:Preparing display monitor
- 2022-02-08 16:04:27,078:INFO:Initializing load_model()
- 2022-02-08 16:04:27,078:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:04:27,259:INFO:Initializing predict_model()
- 2022-02-08 16:04:27,259:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:04:27,259:INFO:Checking exceptions
- 2022-02-08 16:04:27,259:INFO:Preloading libraries
- 2022-02-08 16:04:27,259:INFO:Preparing display monitor
- 2022-02-08 16:04:59,823:INFO:Initializing load_model()
- 2022-02-08 16:04:59,823:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:05:00,016:INFO:Initializing predict_model()
- 2022-02-08 16:05:00,016:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:05:00,016:INFO:Checking exceptions
- 2022-02-08 16:05:00,016:INFO:Preloading libraries
- 2022-02-08 16:05:00,016:INFO:Preparing display monitor
- 2022-02-08 16:05:07,611:INFO:Initializing load_model()
- 2022-02-08 16:05:07,612:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:05:07,794:INFO:Initializing predict_model()
- 2022-02-08 16:05:07,794:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:05:07,794:INFO:Checking exceptions
- 2022-02-08 16:05:07,794:INFO:Preloading libraries
- 2022-02-08 16:05:07,794:INFO:Preparing display monitor
- 2022-02-08 16:05:12,357:INFO:Initializing load_model()
- 2022-02-08 16:05:12,357:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:05:12,540:INFO:Initializing predict_model()
- 2022-02-08 16:05:12,540:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:05:12,540:INFO:Checking exceptions
- 2022-02-08 16:05:12,540:INFO:Preloading libraries
- 2022-02-08 16:05:12,540:INFO:Preparing display monitor
- 2022-02-08 16:05:21,474:INFO:Initializing load_model()
- 2022-02-08 16:05:21,474:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:05:21,657:INFO:Initializing predict_model()
- 2022-02-08 16:05:21,657:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:05:21,657:INFO:Checking exceptions
- 2022-02-08 16:05:21,657:INFO:Preloading libraries
- 2022-02-08 16:05:21,657:INFO:Preparing display monitor
- 2022-02-08 16:15:36,621:INFO:PyCaret Supervised Module
- 2022-02-08 16:15:36,621:INFO:ML Usecase: classification
- 2022-02-08 16:15:36,621:INFO:version 2.3.6
- 2022-02-08 16:15:36,621:INFO:Initializing setup()
- 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)
- 2022-02-08 16:15:36,622:INFO:Checking environment
- 2022-02-08 16:15:36,622:INFO:python_version: 3.8.8
- 2022-02-08 16:15:36,622:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 16:15:36,622:INFO:machine: x86_64
- 2022-02-08 16:15:36,622:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 16:15:36,623:INFO:Physical Core: 16
- 2022-02-08 16:15:36,624:INFO:Logical Core: 32
- 2022-02-08 16:15:36,624:INFO:Checking libraries
- 2022-02-08 16:15:36,624:INFO:pd==1.2.4
- 2022-02-08 16:15:36,624:INFO:numpy==1.19.5
- 2022-02-08 16:15:36,624:INFO:sklearn==0.23.2
- 2022-02-08 16:15:36,624:INFO:lightgbm==3.3.2
- 2022-02-08 16:15:36,625:WARNING:catboost not found
- 2022-02-08 16:15:36,661:INFO:xgboost==1.5.2
- 2022-02-08 16:15:36,788:INFO:mlflow==1.22.0
- 2022-02-08 16:15:36,789:INFO:Checking Exceptions
- 2022-02-08 16:15:36,790:INFO:Declaring global variables
- 2022-02-08 16:15:36,790:INFO:USI: 1750
- 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'}
- 2022-02-08 16:15:36,791:INFO:Preparing display monitor
- 2022-02-08 16:15:36,791:INFO:Preparing display monitor
- 2022-02-08 16:15:36,804:INFO:Importing libraries
- 2022-02-08 16:15:36,804:INFO:Copying data for preprocessing
- 2022-02-08 16:15:36,812:INFO:Declaring preprocessing parameters
- 2022-02-08 16:15:36,817:INFO:Creating preprocessing pipeline
- 2022-02-08 16:15:36,866:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:15:36,866:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:15:36,866:INFO:Creating global containers
- 2022-02-08 16:15:36,868:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:15:38,889:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:15:38,935:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:15:38,936:INFO:Creating grid variables
- 2022-02-08 16:15:38,946:INFO:create_model_container: 0
- 2022-02-08 16:15:38,946:INFO:master_model_container: 0
- 2022-02-08 16:15:38,946:INFO:display_container: 1
- 2022-02-08 16:15:38,949:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:15:38,949:INFO:setup() succesfully completed......................................
- 2022-02-08 16:15:47,477:INFO:Initializing load_model()
- 2022-02-08 16:15:47,477:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:16:34,967:INFO:PyCaret Supervised Module
- 2022-02-08 16:16:34,967:INFO:ML Usecase: classification
- 2022-02-08 16:16:34,968:INFO:version 2.3.6
- 2022-02-08 16:16:34,968:INFO:Initializing setup()
- 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)
- 2022-02-08 16:16:34,968:INFO:Checking environment
- 2022-02-08 16:16:34,969:INFO:python_version: 3.8.8
- 2022-02-08 16:16:34,969:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 16:16:34,969:INFO:machine: x86_64
- 2022-02-08 16:16:34,969:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 16:16:34,970:INFO:Physical Core: 16
- 2022-02-08 16:16:34,970:INFO:Logical Core: 32
- 2022-02-08 16:16:34,970:INFO:Checking libraries
- 2022-02-08 16:16:34,970:INFO:pd==1.2.4
- 2022-02-08 16:16:34,971:INFO:numpy==1.19.5
- 2022-02-08 16:16:34,971:INFO:sklearn==0.23.2
- 2022-02-08 16:16:34,971:INFO:lightgbm==3.3.2
- 2022-02-08 16:16:34,971:WARNING:catboost not found
- 2022-02-08 16:16:34,972:INFO:xgboost==1.5.2
- 2022-02-08 16:16:34,972:INFO:mlflow==1.22.0
- 2022-02-08 16:16:34,972:INFO:Checking Exceptions
- 2022-02-08 16:16:34,972:INFO:Declaring global variables
- 2022-02-08 16:16:34,972:INFO:USI: 841b
- 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'}
- 2022-02-08 16:16:34,972:INFO:Preparing display monitor
- 2022-02-08 16:16:34,973:INFO:Preparing display monitor
- 2022-02-08 16:16:34,980:INFO:Importing libraries
- 2022-02-08 16:16:34,980:INFO:Copying data for preprocessing
- 2022-02-08 16:16:34,986:INFO:Declaring preprocessing parameters
- 2022-02-08 16:16:34,986:WARNING:cuML not found
- 2022-02-08 16:16:34,987:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-08 16:16:34,989:INFO:Creating preprocessing pipeline
- 2022-02-08 16:16:35,034:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:16:35,034:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:16:35,034:INFO:Creating global containers
- 2022-02-08 16:16:35,035:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:16:36,864:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:16:36,892:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:16:36,892:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:16:36,893:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:16:36,907:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:16:36,910:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:16:36,927:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:16:36,927:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:16:36,957:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:16:36,957:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:16:36,958:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:16:36,972:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:16:36,975:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:16:36,981:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:16:36,981:INFO:Creating grid variables
- 2022-02-08 16:16:36,992:INFO:create_model_container: 0
- 2022-02-08 16:16:36,992:INFO:master_model_container: 0
- 2022-02-08 16:16:36,992:INFO:display_container: 1
- 2022-02-08 16:16:36,995:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:16:36,995:INFO:setup() succesfully completed......................................
- 2022-02-08 16:16:46,664:INFO:Initializing create_model()
- 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})
- 2022-02-08 16:16:46,664:INFO:Checking exceptions
- 2022-02-08 16:16:46,664:INFO:Preparing display monitor
- 2022-02-08 16:16:46,675:INFO:Importing libraries
- 2022-02-08 16:16:46,676:INFO:Copying training dataset
- 2022-02-08 16:16:46,677:INFO:Defining folds
- 2022-02-08 16:16:46,677:INFO:Declaring metric variables
- 2022-02-08 16:16:46,682:INFO:Importing untrained model
- 2022-02-08 16:16:46,687:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-08 16:16:46,697:INFO:Starting cross validation
- 2022-02-08 16:16:46,698:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-08 16:16:48,405:INFO:Calculating mean and std
- 2022-02-08 16:16:48,406:INFO:Creating metrics dataframe
- 2022-02-08 16:16:48,414:INFO:Finalizing model
- 2022-02-08 16:38:00,304:INFO:PyCaret Supervised Module
- 2022-02-08 16:38:00,305:INFO:ML Usecase: classification
- 2022-02-08 16:38:00,305:INFO:version 2.3.6
- 2022-02-08 16:38:00,305:INFO:Initializing setup()
- 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)
- 2022-02-08 16:38:00,306:INFO:Checking environment
- 2022-02-08 16:38:00,306:INFO:python_version: 3.8.8
- 2022-02-08 16:38:00,306:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 16:38:00,306:INFO:machine: x86_64
- 2022-02-08 16:38:00,306:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 16:38:00,307:INFO:Physical Core: 16
- 2022-02-08 16:38:00,307:INFO:Logical Core: 32
- 2022-02-08 16:38:00,308:INFO:Checking libraries
- 2022-02-08 16:38:00,308:INFO:pd==1.2.4
- 2022-02-08 16:38:00,308:INFO:numpy==1.19.5
- 2022-02-08 16:38:00,308:INFO:sklearn==0.23.2
- 2022-02-08 16:38:00,308:INFO:lightgbm==3.3.2
- 2022-02-08 16:38:00,309:WARNING:catboost not found
- 2022-02-08 16:38:00,320:INFO:xgboost==1.4.2
- 2022-02-08 16:38:00,448:INFO:mlflow==1.22.0
- 2022-02-08 16:38:00,449:INFO:Checking Exceptions
- 2022-02-08 16:38:00,449:INFO:Declaring global variables
- 2022-02-08 16:38:00,450:INFO:USI: 452f
- 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'}
- 2022-02-08 16:38:00,450:INFO:Preparing display monitor
- 2022-02-08 16:38:00,450:INFO:Preparing display monitor
- 2022-02-08 16:38:00,460:INFO:Importing libraries
- 2022-02-08 16:38:00,460:INFO:Copying data for preprocessing
- 2022-02-08 16:38:00,467:INFO:Declaring preprocessing parameters
- 2022-02-08 16:38:00,468:WARNING:cuML not found
- 2022-02-08 16:38:00,468:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-02-08 16:38:00,474:INFO:Creating preprocessing pipeline
- 2022-02-08 16:38:00,520:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:38:00,520:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:38:00,521:INFO:Creating global containers
- 2022-02-08 16:38:00,521:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:38:02,380:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:38:02,409:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:38:02,410:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:38:02,411:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:38:02,428:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:38:02,431:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:38:02,441:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:38:02,442:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:38:02,473:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:38:02,474:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:38:02,475:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:38:02,490:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:38:02,493:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:38:02,501:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:38:02,502:INFO:Creating grid variables
- 2022-02-08 16:38:02,514:INFO:create_model_container: 0
- 2022-02-08 16:38:02,514:INFO:master_model_container: 0
- 2022-02-08 16:38:02,515:INFO:display_container: 1
- 2022-02-08 16:38:02,518:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:38:02,518:INFO:setup() succesfully completed......................................
- 2022-02-08 16:38:05,703:INFO:Initializing create_model()
- 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})
- 2022-02-08 16:38:05,704:INFO:Checking exceptions
- 2022-02-08 16:38:05,704:INFO:Preparing display monitor
- 2022-02-08 16:38:05,716:INFO:Importing libraries
- 2022-02-08 16:38:05,716:INFO:Copying training dataset
- 2022-02-08 16:38:05,718:INFO:Defining folds
- 2022-02-08 16:38:05,718:INFO:Declaring metric variables
- 2022-02-08 16:38:05,724:INFO:Importing untrained model
- 2022-02-08 16:38:05,730:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-08 16:38:05,743:INFO:Starting cross validation
- 2022-02-08 16:38:05,744:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-08 16:38:06,328:INFO:Calculating mean and std
- 2022-02-08 16:38:06,329:INFO:Creating metrics dataframe
- 2022-02-08 16:38:06,338:INFO:Finalizing model
- 2022-02-08 16:40:02,413:INFO:PyCaret Supervised Module
- 2022-02-08 16:40:02,413:INFO:ML Usecase: classification
- 2022-02-08 16:40:02,414:INFO:version 2.3.6
- 2022-02-08 16:40:02,414:INFO:Initializing setup()
- 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)
- 2022-02-08 16:40:02,414:INFO:Checking environment
- 2022-02-08 16:40:02,414:INFO:python_version: 3.8.8
- 2022-02-08 16:40:02,418:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 16:40:02,418:INFO:machine: x86_64
- 2022-02-08 16:40:02,418:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 16:40:02,420:INFO:Physical Core: 16
- 2022-02-08 16:40:02,420:INFO:Logical Core: 32
- 2022-02-08 16:40:02,420:INFO:Checking libraries
- 2022-02-08 16:40:02,420:INFO:pd==1.2.4
- 2022-02-08 16:40:02,425:INFO:numpy==1.19.5
- 2022-02-08 16:40:02,426:INFO:sklearn==0.23.2
- 2022-02-08 16:40:02,426:INFO:lightgbm==3.3.2
- 2022-02-08 16:40:02,427:WARNING:catboost not found
- 2022-02-08 16:40:02,438:INFO:xgboost==1.4.2
- 2022-02-08 16:40:02,570:INFO:mlflow==1.22.0
- 2022-02-08 16:40:02,570:INFO:Checking Exceptions
- 2022-02-08 16:40:02,571:INFO:Declaring global variables
- 2022-02-08 16:40:02,571:INFO:USI: d47a
- 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'}
- 2022-02-08 16:40:02,571:INFO:Preparing display monitor
- 2022-02-08 16:40:02,572:INFO:Preparing display monitor
- 2022-02-08 16:40:02,581:INFO:Importing libraries
- 2022-02-08 16:40:02,582:INFO:Copying data for preprocessing
- 2022-02-08 16:40:02,588:INFO:Declaring preprocessing parameters
- 2022-02-08 16:40:02,589:WARNING:cuML not found
- 2022-02-08 16:40:02,589:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-02-08 16:40:02,594:INFO:Creating preprocessing pipeline
- 2022-02-08 16:40:02,645:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:40:02,645:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:40:02,646:INFO:Creating global containers
- 2022-02-08 16:40:02,646:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:40:03,806:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:40:03,835:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:40:03,837:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:40:03,838:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:40:03,856:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:40:03,859:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:40:03,868:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:40:03,869:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:40:03,901:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:40:03,901:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:40:03,902:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:40:03,917:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:40:03,921:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:40:03,933:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:40:03,934:INFO:Creating grid variables
- 2022-02-08 16:40:03,949:INFO:create_model_container: 0
- 2022-02-08 16:40:03,949:INFO:master_model_container: 0
- 2022-02-08 16:40:03,949:INFO:display_container: 1
- 2022-02-08 16:40:03,953:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:40:03,953:INFO:setup() succesfully completed......................................
- 2022-02-08 16:40:13,380:INFO:Initializing create_model()
- 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})
- 2022-02-08 16:40:13,380:INFO:Checking exceptions
- 2022-02-08 16:40:13,380:INFO:Preparing display monitor
- 2022-02-08 16:40:13,392:INFO:Importing libraries
- 2022-02-08 16:40:13,392:INFO:Copying training dataset
- 2022-02-08 16:40:13,393:INFO:Defining folds
- 2022-02-08 16:40:13,393:INFO:Declaring metric variables
- 2022-02-08 16:40:13,399:INFO:Importing untrained model
- 2022-02-08 16:40:13,404:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-08 16:40:13,415:INFO:Starting cross validation
- 2022-02-08 16:40:13,416:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-08 16:40:13,963:INFO:Calculating mean and std
- 2022-02-08 16:40:13,964:INFO:Creating metrics dataframe
- 2022-02-08 16:40:13,972:INFO:Finalizing model
- 2022-02-08 17:04:46,485:INFO:PyCaret Supervised Module
- 2022-02-08 17:04:46,486:INFO:ML Usecase: classification
- 2022-02-08 17:04:46,486:INFO:version 2.3.6
- 2022-02-08 17:04:46,486:INFO:Initializing setup()
- 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)
- 2022-02-08 17:04:46,486:INFO:Checking environment
- 2022-02-08 17:04:46,487:INFO:python_version: 3.8.8
- 2022-02-08 17:04:46,487:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 17:04:46,487:INFO:machine: x86_64
- 2022-02-08 17:04:46,487:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 17:04:46,488:INFO:Physical Core: 16
- 2022-02-08 17:04:46,488:INFO:Logical Core: 32
- 2022-02-08 17:04:46,488:INFO:Checking libraries
- 2022-02-08 17:04:46,489:INFO:pd==1.2.4
- 2022-02-08 17:04:46,489:INFO:numpy==1.19.5
- 2022-02-08 17:04:46,489:INFO:sklearn==0.23.2
- 2022-02-08 17:04:46,489:INFO:lightgbm==3.3.2
- 2022-02-08 17:04:46,490:WARNING:catboost not found
- 2022-02-08 17:04:46,490:INFO:xgboost==1.4.2
- 2022-02-08 17:04:46,490:INFO:mlflow==1.22.0
- 2022-02-08 17:04:46,491:INFO:Checking Exceptions
- 2022-02-08 17:04:46,491:INFO:Declaring global variables
- 2022-02-08 17:04:46,491:INFO:USI: 2fe2
- 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'}
- 2022-02-08 17:04:46,491:INFO:Preparing display monitor
- 2022-02-08 17:04:46,491:INFO:Preparing display monitor
- 2022-02-08 17:04:46,501:INFO:Importing libraries
- 2022-02-08 17:04:46,501:INFO:Copying data for preprocessing
- 2022-02-08 17:04:46,510:INFO:Declaring preprocessing parameters
- 2022-02-08 17:04:46,512:INFO:Creating preprocessing pipeline
- 2022-02-08 17:04:46,557:INFO:Preprocessing pipeline created successfully
- 2022-02-08 17:04:46,557:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 17:04:46,557:INFO:Creating global containers
- 2022-02-08 17:04:46,558:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 17:04:48,394:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 17:04:48,441:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 17:04:48,441:INFO:Creating grid variables
- 2022-02-08 17:04:48,451:INFO:create_model_container: 0
- 2022-02-08 17:04:48,451:INFO:master_model_container: 0
- 2022-02-08 17:04:48,451:INFO:display_container: 1
- 2022-02-08 17:04:48,454:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 17:04:48,454:INFO:setup() succesfully completed......................................
- 2022-02-08 17:04:53,768:INFO:Initializing create_model()
- 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})
- 2022-02-08 17:04:53,769:INFO:Checking exceptions
- 2022-02-08 17:04:53,769:INFO:Preparing display monitor
- 2022-02-08 17:04:53,780:INFO:Importing libraries
- 2022-02-08 17:04:53,780:INFO:Copying training dataset
- 2022-02-08 17:04:53,781:INFO:Defining folds
- 2022-02-08 17:04:53,781:INFO:Declaring metric variables
- 2022-02-08 17:04:53,786:INFO:Importing untrained model
- 2022-02-08 17:04:53,792:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-08 17:04:53,802:INFO:Starting cross validation
- 2022-02-08 17:04:53,803:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-02-08 17:10:57,927:INFO:Initializing load_model()
- 2022-02-08 17:10:57,928:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 17:16:46,082:INFO:PyCaret Supervised Module
- 2022-02-08 17:16:46,082:INFO:ML Usecase: classification
- 2022-02-08 17:16:46,083:INFO:version 2.3.6
- 2022-02-08 17:16:46,083:INFO:Initializing setup()
- 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)
- 2022-02-08 17:16:46,083:INFO:Checking environment
- 2022-02-08 17:16:46,083:INFO:python_version: 3.8.8
- 2022-02-08 17:16:46,083:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 17:16:46,084:INFO:machine: x86_64
- 2022-02-08 17:16:46,084:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 17:16:46,085:INFO:Physical Core: 16
- 2022-02-08 17:16:46,085:INFO:Logical Core: 32
- 2022-02-08 17:16:46,085:INFO:Checking libraries
- 2022-02-08 17:16:46,085:INFO:pd==1.3.0
- 2022-02-08 17:16:46,085:INFO:numpy==1.19.5
- 2022-02-08 17:16:46,085:INFO:sklearn==0.23.2
- 2022-02-08 17:16:46,086:INFO:lightgbm==3.3.2
- 2022-02-08 17:16:46,086:WARNING:catboost not found
- 2022-02-08 17:16:46,096:INFO:xgboost==1.4.2
- 2022-02-08 17:16:46,218:INFO:mlflow==1.22.0
- 2022-02-08 17:16:46,219:INFO:Checking Exceptions
- 2022-02-08 17:16:46,219:INFO:Declaring global variables
- 2022-02-08 17:16:46,220:INFO:USI: e30c
- 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'}
- 2022-02-08 17:16:46,220:INFO:Preparing display monitor
- 2022-02-08 17:16:46,220:INFO:Preparing display monitor
- 2022-02-08 17:16:46,229:INFO:Importing libraries
- 2022-02-08 17:16:46,229:INFO:Copying data for preprocessing
- 2022-02-08 17:16:46,235:INFO:Declaring preprocessing parameters
- 2022-02-08 17:16:46,239:INFO:Creating preprocessing pipeline
- 2022-02-08 17:16:46,284:INFO:Preprocessing pipeline created successfully
- 2022-02-08 17:16:46,284:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 17:16:46,284:INFO:Creating global containers
- 2022-02-08 17:16:46,285:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 17:16:48,310:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 17:16:48,358:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 17:16:48,359:INFO:Creating grid variables
- 2022-02-08 17:16:48,367:INFO:create_model_container: 0
- 2022-02-08 17:16:48,367:INFO:master_model_container: 0
- 2022-02-08 17:16:48,367:INFO:display_container: 1
- 2022-02-08 17:16:48,370:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 17:16:48,370:INFO:setup() succesfully completed......................................
- 2022-02-08 17:16:53,614:INFO:Initializing load_model()
- 2022-02-08 17:16:53,615:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 17:16:53,889:INFO:Initializing predict_model()
- 2022-02-08 17:16:53,889:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 17:16:53,889:INFO:Checking exceptions
- 2022-02-08 17:16:53,890:INFO:Preloading libraries
- 2022-02-08 17:16:53,890:INFO:Preparing display monitor
- 2022-02-08 17:18:25,948:INFO:Initializing load_model()
- 2022-02-08 17:18:25,949:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 17:18:26,098:INFO:Initializing predict_model()
- 2022-02-08 17:18:26,098:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 17:18:26,098:INFO:Checking exceptions
- 2022-02-08 17:18:26,098:INFO:Preloading libraries
- 2022-02-08 17:18:26,098:INFO:Preparing display monitor
- 2022-02-08 17:18:39,712:INFO:Initializing load_model()
- 2022-02-08 17:18:39,713:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 17:18:39,845:INFO:Initializing predict_model()
- 2022-02-08 17:18:39,845:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 17:18:39,846:INFO:Checking exceptions
- 2022-02-08 17:18:39,846:INFO:Preloading libraries
- 2022-02-08 17:18:39,846:INFO:Preparing display monitor
- 2022-02-22 16:11:38,750:INFO:Initializing load_model()
- 2022-02-22 16:11:38,750:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-22 16:11:42,355:INFO:Initializing predict_model()
- 2022-02-22 16:11:42,355:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-22 16:11:42,355:INFO:Checking exceptions
- 2022-02-22 16:11:42,356:INFO:Preloading libraries
- 2022-02-22 16:11:45,562:INFO:Initializing get_config()
- 2022-02-22 16:11:45,562:INFO:get_config(variable=prep_pipe)
- 2022-02-22 16:13:08,720:INFO:Initializing load_model()
- 2022-02-22 16:13:08,720:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-22 16:13:11,320:INFO:Initializing predict_model()
- 2022-02-22 16:13:11,321:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- importance_type=None, interaction_constraints='',
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-22 16:13:11,321:INFO:Checking exceptions
- 2022-02-22 16:13:11,321:INFO:Preloading libraries
- 2022-02-22 16:26:05,767:INFO:Initializing get_config()
- 2022-02-22 16:26:05,767:INFO:get_config(variable=prep_pipe)
- 2022-02-22 16:27:27,213:INFO:Initializing predict_model()
- 2022-02-22 16:27:27,213:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- importance_type=None, interaction_constraints='',
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-22 16:27:27,214:INFO:Checking exceptions
- 2022-02-22 16:27:27,214:INFO:Preloading libraries
- 2022-02-22 16:28:27,381:INFO:Initializing get_config()
- 2022-02-22 16:28:27,381:INFO:get_config(variable=prep_pipe)
- 2022-02-22 16:29:26,290:INFO:PyCaret Supervised Module
- 2022-02-22 16:29:26,291:INFO:ML Usecase: classification
- 2022-02-22 16:29:26,291:INFO:version 2.3.6
- 2022-02-22 16:29:26,291:INFO:Initializing setup()
- 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)
- 2022-02-22 16:29:26,292:INFO:Checking environment
- 2022-02-22 16:29:26,292:INFO:python_version: 3.8.8
- 2022-02-22 16:29:26,292:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-22 16:29:26,292:INFO:machine: x86_64
- 2022-02-22 16:29:26,292:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-22 16:29:26,294:INFO:Physical Core: 16
- 2022-02-22 16:29:26,294:INFO:Logical Core: 32
- 2022-02-22 16:29:26,294:INFO:Checking libraries
- 2022-02-22 16:29:26,294:INFO:pd==1.3.0
- 2022-02-22 16:29:26,294:INFO:numpy==1.19.5
- 2022-02-22 16:29:26,294:INFO:sklearn==0.23.2
- 2022-02-22 16:29:26,295:INFO:lightgbm==3.3.2
- 2022-02-22 16:29:26,295:WARNING:catboost not found
- 2022-02-22 16:29:26,306:INFO:xgboost==1.4.2
- 2022-02-22 16:29:26,497:INFO:mlflow==1.22.0
- 2022-02-22 16:29:26,497:INFO:Checking Exceptions
- 2022-02-22 16:29:26,498:INFO:Declaring global variables
- 2022-02-22 16:29:26,498:INFO:USI: 0f6e
- 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'}
- 2022-02-22 16:29:26,498:INFO:Preparing display monitor
- 2022-02-22 16:29:26,498:INFO:Preparing display monitor
- 2022-02-22 16:29:26,508:INFO:Importing libraries
- 2022-02-22 16:29:26,508:INFO:Copying data for preprocessing
- 2022-02-22 16:29:26,514:INFO:Declaring preprocessing parameters
- 2022-02-22 16:29:26,518:INFO:Creating preprocessing pipeline
- 2022-02-22 16:29:26,562:INFO:Preprocessing pipeline created successfully
- 2022-02-22 16:29:26,562:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-22 16:29:26,563:INFO:Creating global containers
- 2022-02-22 16:29:26,563:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-22 16:29:28,709:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-22 16:29:28,754:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-22 16:29:28,755:INFO:Creating grid variables
- 2022-02-22 16:29:28,763:INFO:create_model_container: 0
- 2022-02-22 16:29:28,763:INFO:master_model_container: 0
- 2022-02-22 16:29:28,763:INFO:display_container: 1
- 2022-02-22 16:29:28,766:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-22 16:29:28,766:INFO:setup() succesfully completed......................................
- 2022-02-22 16:29:38,705:INFO:Initializing load_model()
- 2022-02-22 16:29:38,705:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-22 16:29:38,864:INFO:Initializing predict_model()
- 2022-02-22 16:29:38,864:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-22 16:29:38,864:INFO:Checking exceptions
- 2022-02-22 16:29:38,865:INFO:Preloading libraries
- 2022-02-22 16:29:38,865:INFO:Preparing display monitor
- 2022-02-22 16:30:00,265:INFO:Initializing get_config()
- 2022-02-22 16:30:00,265:INFO:get_config(variable=prep_pipe)
- 2022-02-22 16:30:00,268:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-22 16:30:00,268:INFO:get_config() succesfully completed......................................
- 2022-02-22 16:30:00,268:INFO:Initializing get_config()
- 2022-02-22 16:30:00,269:INFO:get_config(variable=data_before_preprocess)
- 2022-02-22 16:30:00,274:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
- ... ... ... ... ... ... ...
- 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
- 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- dd_temp door motion illum dayofweek month hour
- 0 2.472812e-16 0.0 0.0 0.0 0 8 0
- 1 2.472812e-16 0.0 0.0 0.0 0 8 0
- 2 2.472812e-16 0.0 0.0 0.0 0 8 0
- 3 2.472812e-16 0.0 0.0 0.0 0 8 0
- 4 2.472812e-16 0.0 0.0 0.0 0 8 0
- ... ... ... ... ... ... ... ...
- 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
- [64800 rows x 13 columns]
- 2022-02-22 16:30:00,274:INFO:get_config() succesfully completed......................................
- 2022-02-22 16:30:00,276:INFO:Initializing get_config()
- 2022-02-22 16:30:00,276:INFO:get_config(variable=prep_pipe)
- 2022-02-22 16:30:00,278:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-22 16:30:00,279:INFO:get_config() succesfully completed......................................
- 2022-02-22 16:30:00,287:INFO:Initializing save_model()
- 2022-02-22 16:30:00,287:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-02-22 16:30:00,287:INFO:Adding model into prep_pipe
- 2022-02-22 16:30:00,492:WARNING:Only Model saved as it was a pipeline.
- 2022-02-22 16:30:00,596:INFO:my_api.pkl saved in current working directory
- 2022-02-22 16:30:00,602:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False)
- 2022-02-22 16:30:00,603:INFO:save_model() successfully completed......................................
- 2022-02-22 16:44:08,710:INFO:Initializing load_model()
- 2022-02-22 16:44:08,710:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-02-22 16:49:20,648:INFO:Initializing predict_model()
- 2022-02-22 16:49:20,649:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- importance_type=None, interaction_constraints='',
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-22 16:49:20,649:INFO:Checking exceptions
- 2022-02-22 16:49:20,650:INFO:Preloading libraries
- 2022-02-22 17:00:34,168:INFO:PyCaret Supervised Module
- 2022-02-22 17:00:34,168:INFO:ML Usecase: classification
- 2022-02-22 17:00:34,168:INFO:version 2.3.6
- 2022-02-22 17:00:34,168:INFO:Initializing setup()
- 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)
- 2022-02-22 17:00:34,169:INFO:Checking environment
- 2022-02-22 17:00:34,169:INFO:python_version: 3.8.8
- 2022-02-22 17:00:34,169:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-22 17:00:34,169:INFO:machine: x86_64
- 2022-02-22 17:00:34,169:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-22 17:00:34,170:INFO:Physical Core: 16
- 2022-02-22 17:00:34,171:INFO:Logical Core: 32
- 2022-02-22 17:00:34,171:INFO:Checking libraries
- 2022-02-22 17:00:34,171:INFO:pd==1.3.0
- 2022-02-22 17:00:34,171:INFO:numpy==1.19.5
- 2022-02-22 17:00:34,171:INFO:sklearn==0.23.2
- 2022-02-22 17:00:34,171:INFO:lightgbm==3.3.2
- 2022-02-22 17:00:34,172:WARNING:catboost not found
- 2022-02-22 17:00:34,172:INFO:xgboost==1.4.2
- 2022-02-22 17:00:34,299:INFO:mlflow==1.22.0
- 2022-02-22 17:00:34,300:INFO:Checking Exceptions
- 2022-02-22 17:00:34,300:INFO:Declaring global variables
- 2022-02-22 17:00:34,301:INFO:USI: 5c75
- 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'}
- 2022-02-22 17:00:34,301:INFO:Preparing display monitor
- 2022-02-22 17:00:34,301:INFO:Preparing display monitor
- 2022-02-22 17:00:34,309:INFO:Importing libraries
- 2022-02-22 17:00:34,309:INFO:Copying data for preprocessing
- 2022-02-22 17:00:34,314:INFO:Declaring preprocessing parameters
- 2022-02-22 17:00:34,315:WARNING:cuML not found
- 2022-02-22 17:00:34,315:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-02-22 17:00:34,317:INFO:Creating preprocessing pipeline
- 2022-02-22 17:00:34,360:INFO:Preprocessing pipeline created successfully
- 2022-02-22 17:00:34,360:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-22 17:00:34,361:INFO:Creating global containers
- 2022-02-22 17:00:34,361:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-22 17:00:36,334:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-22 17:00:36,362:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-22 17:00:36,363:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-22 17:00:36,364:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-22 17:00:36,380:WARNING:Couldn't import cuml.linear_model
- 2022-02-22 17:00:36,383:WARNING:Couldn't import cuml.ensemble
- 2022-02-22 17:00:36,405:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-22 17:00:36,406:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-22 17:00:36,436:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-22 17:00:36,437:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-22 17:00:36,437:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-22 17:00:36,451:WARNING:Couldn't import cuml.linear_model
- 2022-02-22 17:00:36,455:WARNING:Couldn't import cuml.ensemble
- 2022-02-22 17:00:36,460:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-22 17:00:36,461:INFO:Creating grid variables
- 2022-02-22 17:00:36,469:INFO:create_model_container: 0
- 2022-02-22 17:00:36,469:INFO:master_model_container: 0
- 2022-02-22 17:00:36,469:INFO:display_container: 1
- 2022-02-22 17:00:36,472:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-22 17:00:36,472:INFO:setup() succesfully completed......................................
- 2022-02-22 17:00:43,347:INFO:Initializing load_model()
- 2022-02-22 17:00:43,347:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-22 17:00:45,772:INFO:Initializing predict_model()
- 2022-02-22 17:00:45,773:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-22 17:00:45,773:INFO:Checking exceptions
- 2022-02-22 17:00:45,773:INFO:Preloading libraries
- 2022-02-22 17:00:45,773:INFO:Preparing display monitor
- 2022-02-22 17:00:50,084:INFO:Initializing get_config()
- 2022-02-22 17:00:50,085:INFO:get_config(variable=prep_pipe)
- 2022-02-22 17:00:50,087:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-22 17:00:50,088:INFO:get_config() succesfully completed......................................
- 2022-02-22 17:00:50,088:INFO:Initializing get_config()
- 2022-02-22 17:00:50,088:INFO:get_config(variable=data_before_preprocess)
- 2022-02-22 17:00:50,092:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
- ... ... ... ... ... ... ...
- 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
- 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- dd_temp door motion illum dayofweek month hour
- 0 2.472812e-16 0.0 0.0 0.0 0 8 0
- 1 2.472812e-16 0.0 0.0 0.0 0 8 0
- 2 2.472812e-16 0.0 0.0 0.0 0 8 0
- 3 2.472812e-16 0.0 0.0 0.0 0 8 0
- 4 2.472812e-16 0.0 0.0 0.0 0 8 0
- ... ... ... ... ... ... ... ...
- 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
- [64800 rows x 13 columns]
- 2022-02-22 17:00:50,093:INFO:get_config() succesfully completed......................................
- 2022-02-22 17:00:50,095:INFO:Initializing get_config()
- 2022-02-22 17:00:50,095:INFO:get_config(variable=prep_pipe)
- 2022-02-22 17:00:50,098:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-22 17:00:50,098:INFO:get_config() succesfully completed......................................
- 2022-02-22 17:00:50,106:INFO:Initializing save_model()
- 2022-02-22 17:00:50,107:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-02-22 17:00:50,107:INFO:Adding model into prep_pipe
- 2022-02-22 17:00:50,303:WARNING:Only Model saved as it was a pipeline.
- 2022-02-22 17:00:50,427:INFO:my_api.pkl saved in current working directory
- 2022-02-22 17:00:50,433:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False)
- 2022-02-22 17:00:50,433:INFO:save_model() successfully completed......................................
- 2022-02-22 17:01:37,075:INFO:Initializing load_model()
- 2022-02-22 17:01:37,075:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-02-22 17:02:35,496:INFO:Initializing predict_model()
- 2022-02-22 17:02:35,496:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- importance_type=None, interaction_constraints='',
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-22 17:02:35,496:INFO:Checking exceptions
- 2022-02-22 17:02:35,497:INFO:Preloading libraries
- <<<<<<< HEAD
- 2022-03-02 13:13:12,591:INFO:PyCaret Supervised Module
- 2022-03-02 13:13:12,592:INFO:ML Usecase: classification
- 2022-03-02 13:13:12,592:INFO:version 2.3.6
- 2022-03-02 13:13:12,592:INFO:Initializing setup()
- 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)
- 2022-03-02 13:13:12,592:INFO:Checking environment
- 2022-03-02 13:13:12,592:INFO:python_version: 3.8.5
- 2022-03-02 13:13:12,592:INFO:python_build: ('default', 'Sep 3 2020 21:29:08')
- 2022-03-02 13:13:12,592:INFO:machine: AMD64
- 2022-03-02 13:13:12,592:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 13:13:12,592:INFO:Memory: svmem(total=34268372992, available=23745789952, percent=30.7, used=10522583040, free=23745789952)
- 2022-03-02 13:13:12,592:INFO:Physical Core: 8
- 2022-03-02 13:13:12,592:INFO:Logical Core: 16
- 2022-03-02 13:13:12,592:INFO:Checking libraries
- 2022-03-02 13:13:12,593:INFO:pd==1.1.3
- 2022-03-02 13:13:12,593:INFO:numpy==1.19.2
- 2022-03-02 13:13:12,593:INFO:sklearn==0.23.2
- 2022-03-02 13:13:12,593:INFO:lightgbm==3.3.2
- 2022-03-02 13:13:12,593:WARNING:catboost not found
- 2022-03-02 13:13:12,621:INFO:xgboost==1.5.2
- 2022-03-02 13:13:13,093:INFO:mlflow==1.24.0
- 2022-03-02 13:13:13,094:INFO:Checking Exceptions
- 2022-03-02 13:13:13,095:INFO:Declaring global variables
- 2022-03-02 13:13:13,095:INFO:USI: 9ff4
- 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'}
- 2022-03-02 13:13:13,095:INFO:Preparing display monitor
- 2022-03-02 13:13:13,095:INFO:Preparing display monitor
- 2022-03-02 13:13:13,109:INFO:Importing libraries
- 2022-03-02 13:13:13,109:INFO:Copying data for preprocessing
- 2022-03-02 13:13:13,116:INFO:Declaring preprocessing parameters
- 2022-03-02 13:13:13,121:INFO:Creating preprocessing pipeline
- 2022-03-02 13:13:13,197:INFO:Preprocessing pipeline created successfully
- 2022-03-02 13:13:13,197:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 13:13:13,197:INFO:Creating global containers
- 2022-03-02 13:13:13,199:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-02 13:13:15,041:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-02 13:13:15,121:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-02 13:13:15,122:INFO:Creating grid variables
- 2022-03-02 13:13:15,140:INFO:create_model_container: 0
- 2022-03-02 13:13:15,140:INFO:master_model_container: 0
- 2022-03-02 13:13:15,140:INFO:display_container: 1
- 2022-03-02 13:13:15,144:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-02 13:13:15,144:INFO:setup() succesfully completed......................................
- 2022-03-02 13:13:19,457:INFO:Initializing load_model()
- 2022-03-02 13:13:19,457:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-02 13:14:04,352:INFO:PyCaret Supervised Module
- 2022-03-02 13:14:04,352:INFO:ML Usecase: classification
- 2022-03-02 13:14:04,352:INFO:version 2.3.6
- 2022-03-02 13:14:04,352:INFO:Initializing setup()
- 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)
- 2022-03-02 13:14:04,352:INFO:Checking environment
- 2022-03-02 13:14:04,352:INFO:python_version: 3.8.5
- 2022-03-02 13:14:04,352:INFO:python_build: ('default', 'Sep 3 2020 21:29:08')
- 2022-03-02 13:14:04,352:INFO:machine: AMD64
- 2022-03-02 13:14:04,352:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 13:14:04,353:INFO:Memory: svmem(total=34268372992, available=23774343168, percent=30.6, used=10494029824, free=23774343168)
- 2022-03-02 13:14:04,353:INFO:Physical Core: 8
- 2022-03-02 13:14:04,353:INFO:Logical Core: 16
- 2022-03-02 13:14:04,353:INFO:Checking libraries
- 2022-03-02 13:14:04,353:INFO:pd==1.1.3
- 2022-03-02 13:14:04,353:INFO:numpy==1.19.2
- 2022-03-02 13:14:04,353:INFO:sklearn==0.23.2
- 2022-03-02 13:14:04,353:INFO:lightgbm==3.3.2
- 2022-03-02 13:14:04,354:WARNING:catboost not found
- 2022-03-02 13:14:04,374:INFO:xgboost==1.5.2
- 2022-03-02 13:14:04,798:INFO:mlflow==1.24.0
- 2022-03-02 13:14:04,798:INFO:Checking Exceptions
- 2022-03-02 13:14:04,798:INFO:Declaring global variables
- 2022-03-02 13:14:04,799:INFO:USI: a4b6
- 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'}
- 2022-03-02 13:14:04,799:INFO:Preparing display monitor
- 2022-03-02 13:14:04,799:INFO:Preparing display monitor
- 2022-03-02 13:14:04,811:INFO:Importing libraries
- 2022-03-02 13:14:04,811:INFO:Copying data for preprocessing
- 2022-03-02 13:14:04,817:INFO:Declaring preprocessing parameters
- 2022-03-02 13:14:04,821:INFO:Creating preprocessing pipeline
- 2022-03-02 13:14:04,890:INFO:Preprocessing pipeline created successfully
- 2022-03-02 13:14:04,891:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 13:14:04,891:INFO:Creating global containers
- 2022-03-02 13:14:04,892:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-02 13:14:07,662:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-02 13:14:07,741:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-02 13:14:07,741:INFO:Creating grid variables
- 2022-03-02 13:14:07,758:INFO:create_model_container: 0
- 2022-03-02 13:14:07,758:INFO:master_model_container: 0
- 2022-03-02 13:14:07,758:INFO:display_container: 1
- 2022-03-02 13:14:07,762:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-02 13:14:07,762:INFO:setup() succesfully completed......................................
- 2022-03-02 13:14:12,110:INFO:Initializing load_model()
- 2022-03-02 13:14:12,110:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-02 13:18:09,962:INFO:PyCaret Supervised Module
- 2022-03-02 13:18:09,962:INFO:ML Usecase: classification
- 2022-03-02 13:18:09,962:INFO:version 2.3.6
- 2022-03-02 13:18:09,962:INFO:Initializing setup()
- 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)
- 2022-03-02 13:18:09,962:INFO:Checking environment
- 2022-03-02 13:18:09,962:INFO:python_version: 3.8.5
- 2022-03-02 13:18:09,962:INFO:python_build: ('default', 'Sep 3 2020 21:29:08')
- 2022-03-02 13:18:09,962:INFO:machine: AMD64
- 2022-03-02 13:18:09,962:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 13:18:09,963:INFO:Memory: svmem(total=34268372992, available=23508295680, percent=31.4, used=10760077312, free=23508295680)
- 2022-03-02 13:18:09,963:INFO:Physical Core: 8
- 2022-03-02 13:18:09,963:INFO:Logical Core: 16
- 2022-03-02 13:18:09,963:INFO:Checking libraries
- 2022-03-02 13:18:09,963:INFO:pd==1.1.3
- 2022-03-02 13:18:09,963:INFO:numpy==1.19.2
- 2022-03-02 13:18:09,963:INFO:sklearn==0.23.2
- 2022-03-02 13:18:09,963:INFO:lightgbm==3.3.2
- 2022-03-02 13:18:09,964:WARNING:catboost not found
- 2022-03-02 13:18:09,985:INFO:xgboost==1.5.2
- 2022-03-02 13:18:10,410:INFO:mlflow==1.24.0
- 2022-03-02 13:18:10,410:INFO:Checking Exceptions
- 2022-03-02 13:18:10,410:INFO:Declaring global variables
- 2022-03-02 13:18:10,410:INFO:USI: 0180
- 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'}
- 2022-03-02 13:18:10,410:INFO:Preparing display monitor
- 2022-03-02 13:18:10,410:INFO:Preparing display monitor
- 2022-03-02 13:18:10,423:INFO:Importing libraries
- 2022-03-02 13:18:10,423:INFO:Copying data for preprocessing
- 2022-03-02 13:18:10,430:INFO:Declaring preprocessing parameters
- 2022-03-02 13:18:10,433:INFO:Creating preprocessing pipeline
- 2022-03-02 13:18:10,506:INFO:Preprocessing pipeline created successfully
- 2022-03-02 13:18:10,506:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 13:18:10,506:INFO:Creating global containers
- 2022-03-02 13:18:10,508:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-02 13:18:11,449:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-02 13:18:11,529:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-02 13:18:11,529:INFO:Creating grid variables
- 2022-03-02 13:18:11,546:INFO:create_model_container: 0
- 2022-03-02 13:18:11,546:INFO:master_model_container: 0
- 2022-03-02 13:18:11,546:INFO:display_container: 1
- 2022-03-02 13:18:11,551:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-02 13:18:11,551:INFO:setup() succesfully completed......................................
- 2022-03-02 13:18:16,659:INFO:Initializing load_model()
- 2022-03-02 13:18:16,659:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-02 16:45:51,561:INFO:PyCaret Supervised Module
- 2022-03-02 16:45:51,608:INFO:ML Usecase: classification
- 2022-03-02 16:45:51,609:INFO:version 2.2.3
- 2022-03-02 16:45:51,609:INFO:Initializing setup()
- 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)
- 2022-03-02 16:45:51,609:INFO:Checking environment
- 2022-03-02 16:45:51,609:INFO:python_version: 3.9.7
- 2022-03-02 16:45:51,609:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:45:51,609:INFO:machine: AMD64
- 2022-03-02 16:45:51,609:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:45:51,609:INFO:Memory: svmem(total=34268372992, available=19471544320, percent=43.2, used=14796828672, free=19471544320)
- 2022-03-02 16:45:51,609:INFO:Physical Core: 8
- 2022-03-02 16:45:51,610:INFO:Logical Core: 16
- 2022-03-02 16:45:51,610:INFO:Checking libraries
- 2022-03-02 16:45:51,610:INFO:pd==1.3.4
- 2022-03-02 16:45:51,610:INFO:numpy==1.20.3
- 2022-03-02 16:45:51,610:INFO:sklearn==0.24.2
- 2022-03-02 16:45:51,655:INFO:xgboost==1.5.1
- 2022-03-02 16:45:51,655:INFO:lightgbm==3.3.2
- 2022-03-02 16:45:51,699:INFO:catboost==1.0.4
- 2022-03-02 16:45:53,141:INFO:mlflow==1.24.0
- 2022-03-02 16:45:53,142:INFO:Checking Exceptions
- 2022-03-02 16:45:53,144:INFO:Declaring global variables
- 2022-03-02 16:45:53,144:INFO:USI: a3f6
- 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'}
- 2022-03-02 16:45:53,144:INFO:Preparing display monitor
- 2022-03-02 16:45:53,145:INFO:Preparing display monitor
- 2022-03-02 16:45:53,169:INFO:Importing libraries
- 2022-03-02 16:45:53,169:INFO:Copying data for preprocessing
- 2022-03-02 16:45:53,182:INFO:Declaring preprocessing parameters
- 2022-03-02 16:45:53,189:INFO:Creating preprocessing pipeline
- 2022-03-02 16:45:53,284:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:45:53,284:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:45:53,284:INFO:Creating global containers
- 2022-03-02 16:46:02,206:INFO:PyCaret Supervised Module
- 2022-03-02 16:46:02,206:INFO:ML Usecase: classification
- 2022-03-02 16:46:02,206:INFO:version 2.2.3
- 2022-03-02 16:46:02,206:INFO:Initializing setup()
- 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)
- 2022-03-02 16:46:02,207:INFO:Checking environment
- 2022-03-02 16:46:02,207:INFO:python_version: 3.9.7
- 2022-03-02 16:46:02,207:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:46:02,207:INFO:machine: AMD64
- 2022-03-02 16:46:02,207:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:46:02,207:INFO:Memory: svmem(total=34268372992, available=19373826048, percent=43.5, used=14894546944, free=19373826048)
- 2022-03-02 16:46:02,207:INFO:Physical Core: 8
- 2022-03-02 16:46:02,207:INFO:Logical Core: 16
- 2022-03-02 16:46:02,207:INFO:Checking libraries
- 2022-03-02 16:46:02,207:INFO:pd==1.3.4
- 2022-03-02 16:46:02,207:INFO:numpy==1.20.3
- 2022-03-02 16:46:02,207:INFO:sklearn==0.24.2
- 2022-03-02 16:46:02,207:INFO:xgboost==1.5.1
- 2022-03-02 16:46:02,208:INFO:lightgbm==3.3.2
- 2022-03-02 16:46:02,208:INFO:catboost==1.0.4
- 2022-03-02 16:46:02,208:INFO:mlflow==1.24.0
- 2022-03-02 16:46:02,208:INFO:Checking Exceptions
- 2022-03-02 16:46:02,208:INFO:Declaring global variables
- 2022-03-02 16:46:02,208:INFO:USI: 06d2
- 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'}
- 2022-03-02 16:46:02,208:INFO:Preparing display monitor
- 2022-03-02 16:46:02,208:INFO:Preparing display monitor
- 2022-03-02 16:46:02,224:INFO:Importing libraries
- 2022-03-02 16:46:02,224:INFO:Copying data for preprocessing
- 2022-03-02 16:46:02,237:INFO:Declaring preprocessing parameters
- 2022-03-02 16:46:02,245:INFO:Creating preprocessing pipeline
- 2022-03-02 16:46:02,339:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:46:02,339:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:46:02,340:INFO:Creating global containers
- 2022-03-02 16:46:24,103:INFO:PyCaret Supervised Module
- 2022-03-02 16:46:24,103:INFO:ML Usecase: classification
- 2022-03-02 16:46:24,103:INFO:version 2.2.3
- 2022-03-02 16:46:24,103:INFO:Initializing setup()
- 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)
- 2022-03-02 16:46:24,103:INFO:Checking environment
- 2022-03-02 16:46:24,103:INFO:python_version: 3.9.7
- 2022-03-02 16:46:24,103:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:46:24,103:INFO:machine: AMD64
- 2022-03-02 16:46:24,103:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:46:24,104:INFO:Memory: svmem(total=34268372992, available=19356192768, percent=43.5, used=14912180224, free=19356192768)
- 2022-03-02 16:46:24,104:INFO:Physical Core: 8
- 2022-03-02 16:46:24,104:INFO:Logical Core: 16
- 2022-03-02 16:46:24,104:INFO:Checking libraries
- 2022-03-02 16:46:24,104:INFO:pd==1.3.4
- 2022-03-02 16:46:24,104:INFO:numpy==1.20.3
- 2022-03-02 16:46:24,104:INFO:sklearn==0.24.2
- 2022-03-02 16:46:24,104:INFO:xgboost==1.5.1
- 2022-03-02 16:46:24,104:INFO:lightgbm==3.3.2
- 2022-03-02 16:46:24,104:INFO:catboost==1.0.4
- 2022-03-02 16:46:24,104:INFO:mlflow==1.24.0
- 2022-03-02 16:46:24,104:INFO:Checking Exceptions
- 2022-03-02 16:46:24,104:INFO:Declaring global variables
- 2022-03-02 16:46:24,105:INFO:USI: 626d
- 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'}
- 2022-03-02 16:46:24,105:INFO:Preparing display monitor
- 2022-03-02 16:46:24,105:INFO:Preparing display monitor
- 2022-03-02 16:46:24,126:INFO:Importing libraries
- 2022-03-02 16:46:24,126:INFO:Copying data for preprocessing
- 2022-03-02 16:46:24,140:INFO:Declaring preprocessing parameters
- 2022-03-02 16:46:24,147:INFO:Creating preprocessing pipeline
- 2022-03-02 16:46:24,243:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:46:24,243:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:46:24,243:INFO:Creating global containers
- 2022-03-02 16:46:47,579:INFO:PyCaret Supervised Module
- 2022-03-02 16:46:47,580:INFO:ML Usecase: classification
- 2022-03-02 16:46:47,580:INFO:version 2.2.3
- 2022-03-02 16:46:47,580:INFO:Initializing setup()
- 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)
- 2022-03-02 16:46:47,580:INFO:Checking environment
- 2022-03-02 16:46:47,580:INFO:python_version: 3.9.7
- 2022-03-02 16:46:47,580:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:46:47,580:INFO:machine: AMD64
- 2022-03-02 16:46:47,580:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:46:47,580:INFO:Memory: svmem(total=34268372992, available=19422863360, percent=43.3, used=14845509632, free=19422863360)
- 2022-03-02 16:46:47,580:INFO:Physical Core: 8
- 2022-03-02 16:46:47,580:INFO:Logical Core: 16
- 2022-03-02 16:46:47,580:INFO:Checking libraries
- 2022-03-02 16:46:47,580:INFO:pd==1.3.4
- 2022-03-02 16:46:47,580:INFO:numpy==1.20.3
- 2022-03-02 16:46:47,581:INFO:sklearn==0.24.2
- 2022-03-02 16:46:47,623:INFO:xgboost==1.5.1
- 2022-03-02 16:46:47,623:INFO:lightgbm==3.3.2
- 2022-03-02 16:46:47,653:INFO:catboost==1.0.4
- 2022-03-02 16:46:49,126:INFO:mlflow==1.24.0
- 2022-03-02 16:46:49,127:INFO:Checking Exceptions
- 2022-03-02 16:46:49,127:INFO:Declaring global variables
- 2022-03-02 16:46:49,127:INFO:USI: 480d
- 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'}
- 2022-03-02 16:46:49,127:INFO:Preparing display monitor
- 2022-03-02 16:46:49,127:INFO:Preparing display monitor
- 2022-03-02 16:46:49,149:INFO:Importing libraries
- 2022-03-02 16:46:49,150:INFO:Copying data for preprocessing
- 2022-03-02 16:46:49,163:INFO:Declaring preprocessing parameters
- 2022-03-02 16:46:49,170:INFO:Creating preprocessing pipeline
- 2022-03-02 16:46:49,267:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:46:49,268:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:46:49,268:INFO:Creating global containers
- 2022-03-02 16:47:18,016:INFO:PyCaret Supervised Module
- 2022-03-02 16:47:18,016:INFO:ML Usecase: classification
- 2022-03-02 16:47:18,016:INFO:version 2.2.3
- 2022-03-02 16:47:18,016:INFO:Initializing setup()
- 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)
- 2022-03-02 16:47:18,017:INFO:Checking environment
- 2022-03-02 16:47:18,017:INFO:python_version: 3.9.7
- 2022-03-02 16:47:18,017:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:47:18,017:INFO:machine: AMD64
- 2022-03-02 16:47:18,017:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:47:18,017:INFO:Memory: svmem(total=34268372992, available=19358998528, percent=43.5, used=14909374464, free=19358998528)
- 2022-03-02 16:47:18,017:INFO:Physical Core: 8
- 2022-03-02 16:47:18,017:INFO:Logical Core: 16
- 2022-03-02 16:47:18,017:INFO:Checking libraries
- 2022-03-02 16:47:18,017:INFO:pd==1.3.4
- 2022-03-02 16:47:18,017:INFO:numpy==1.20.3
- 2022-03-02 16:47:18,017:INFO:sklearn==0.24.2
- 2022-03-02 16:47:18,017:INFO:xgboost==1.5.1
- 2022-03-02 16:47:18,017:INFO:lightgbm==3.3.2
- 2022-03-02 16:47:18,017:INFO:catboost==1.0.4
- 2022-03-02 16:47:18,017:INFO:mlflow==1.24.0
- 2022-03-02 16:47:18,018:INFO:Checking Exceptions
- 2022-03-02 16:47:18,018:INFO:Declaring global variables
- 2022-03-02 16:47:18,018:INFO:USI: c089
- 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'}
- 2022-03-02 16:47:18,018:INFO:Preparing display monitor
- 2022-03-02 16:47:18,018:INFO:Preparing display monitor
- 2022-03-02 16:47:18,034:INFO:Importing libraries
- 2022-03-02 16:47:18,034:INFO:Copying data for preprocessing
- 2022-03-02 16:47:18,049:INFO:Declaring preprocessing parameters
- 2022-03-02 16:47:18,057:INFO:Creating preprocessing pipeline
- 2022-03-02 16:47:18,152:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:47:18,152:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:47:18,152:INFO:Creating global containers
- 2022-03-02 16:47:52,913:INFO:PyCaret Supervised Module
- 2022-03-02 16:47:52,913:INFO:ML Usecase: classification
- 2022-03-02 16:47:52,913:INFO:version 2.2.3
- 2022-03-02 16:47:52,913:INFO:Initializing setup()
- 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)
- 2022-03-02 16:47:52,914:INFO:Checking environment
- 2022-03-02 16:47:52,914:INFO:python_version: 3.9.7
- 2022-03-02 16:47:52,914:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:47:52,914:INFO:machine: AMD64
- 2022-03-02 16:47:52,914:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:47:52,914:INFO:Memory: svmem(total=34268372992, available=19339452416, percent=43.6, used=14928920576, free=19339452416)
- 2022-03-02 16:47:52,914:INFO:Physical Core: 8
- 2022-03-02 16:47:52,914:INFO:Logical Core: 16
- 2022-03-02 16:47:52,914:INFO:Checking libraries
- 2022-03-02 16:47:52,914:INFO:pd==1.3.4
- 2022-03-02 16:47:52,914:INFO:numpy==1.20.3
- 2022-03-02 16:47:52,914:INFO:sklearn==0.24.2
- 2022-03-02 16:47:52,914:INFO:xgboost==1.5.1
- 2022-03-02 16:47:52,914:INFO:lightgbm==3.3.2
- 2022-03-02 16:47:52,914:INFO:catboost==1.0.4
- 2022-03-02 16:47:52,915:INFO:mlflow==1.24.0
- 2022-03-02 16:47:52,915:INFO:Checking Exceptions
- 2022-03-02 16:47:52,915:INFO:Declaring global variables
- 2022-03-02 16:47:52,915:INFO:USI: 034e
- 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'}
- 2022-03-02 16:47:52,915:INFO:Preparing display monitor
- 2022-03-02 16:47:52,915:INFO:Preparing display monitor
- 2022-03-02 16:47:52,935:INFO:Importing libraries
- 2022-03-02 16:47:52,935:INFO:Copying data for preprocessing
- 2022-03-02 16:47:52,949:INFO:Declaring preprocessing parameters
- 2022-03-02 16:47:52,956:INFO:Creating preprocessing pipeline
- 2022-03-02 16:47:53,053:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:47:53,054:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:47:53,054:INFO:Creating global containers
- 2022-03-02 16:48:59,610:INFO:PyCaret Supervised Module
- 2022-03-02 16:48:59,610:INFO:ML Usecase: classification
- 2022-03-02 16:48:59,610:INFO:version 2.2.3
- 2022-03-02 16:48:59,610:INFO:Initializing setup()
- 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)
- 2022-03-02 16:48:59,611:INFO:Checking environment
- 2022-03-02 16:48:59,611:INFO:python_version: 3.9.7
- 2022-03-02 16:48:59,611:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:48:59,611:INFO:machine: AMD64
- 2022-03-02 16:48:59,611:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:48:59,611:INFO:Memory: svmem(total=34268372992, available=19293986816, percent=43.7, used=14974386176, free=19293986816)
- 2022-03-02 16:48:59,611:INFO:Physical Core: 8
- 2022-03-02 16:48:59,611:INFO:Logical Core: 16
- 2022-03-02 16:48:59,611:INFO:Checking libraries
- 2022-03-02 16:48:59,611:INFO:pd==1.3.4
- 2022-03-02 16:48:59,611:INFO:numpy==1.20.3
- 2022-03-02 16:48:59,611:INFO:sklearn==0.24.2
- 2022-03-02 16:48:59,651:INFO:xgboost==1.5.1
- 2022-03-02 16:48:59,651:INFO:lightgbm==3.3.2
- 2022-03-02 16:48:59,679:INFO:catboost==1.0.4
- 2022-03-02 16:49:01,108:INFO:mlflow==1.24.0
- 2022-03-02 16:49:01,109:INFO:Checking Exceptions
- 2022-03-02 16:49:01,109:INFO:Declaring global variables
- 2022-03-02 16:49:01,109:INFO:USI: 4599
- 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'}
- 2022-03-02 16:49:01,110:INFO:Preparing display monitor
- 2022-03-02 16:49:01,110:INFO:Preparing display monitor
- 2022-03-02 16:49:01,132:INFO:Importing libraries
- 2022-03-02 16:49:01,132:INFO:Copying data for preprocessing
- 2022-03-02 16:49:01,145:INFO:Declaring preprocessing parameters
- 2022-03-02 16:49:01,152:INFO:Creating preprocessing pipeline
- 2022-03-02 16:49:01,242:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:49:01,243:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:49:01,243:INFO:Creating global containers
- 2022-03-02 16:57:15,626:INFO:PyCaret Supervised Module
- 2022-03-02 16:57:15,626:INFO:ML Usecase: classification
- 2022-03-02 16:57:15,626:INFO:version 2.2.3
- 2022-03-02 16:57:15,626:INFO:Initializing setup()
- 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)
- 2022-03-02 16:57:15,626:INFO:Checking environment
- 2022-03-02 16:57:15,626:INFO:python_version: 3.9.7
- 2022-03-02 16:57:15,626:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:57:15,626:INFO:machine: AMD64
- 2022-03-02 16:57:15,626:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:57:15,626:INFO:Memory: svmem(total=34268372992, available=22981742592, percent=32.9, used=11286630400, free=22981742592)
- 2022-03-02 16:57:15,626:INFO:Physical Core: 8
- 2022-03-02 16:57:15,626:INFO:Logical Core: 16
- 2022-03-02 16:57:15,626:INFO:Checking libraries
- 2022-03-02 16:57:15,627:INFO:pd==1.3.4
- 2022-03-02 16:57:15,627:INFO:numpy==1.20.3
- 2022-03-02 16:57:15,627:INFO:sklearn==0.24.2
- 2022-03-02 16:57:15,668:INFO:xgboost==1.5.1
- 2022-03-02 16:57:15,668:INFO:lightgbm==3.3.2
- 2022-03-02 16:57:15,778:INFO:catboost==1.0.4
- 2022-03-02 16:57:16,456:INFO:mlflow==1.24.0
- 2022-03-02 16:57:16,456:INFO:Checking Exceptions
- 2022-03-02 16:57:16,458:INFO:Declaring global variables
- 2022-03-02 16:57:16,458:INFO:USI: 09c2
- 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'}
- 2022-03-02 16:57:16,458:INFO:Preparing display monitor
- 2022-03-02 16:57:16,458:INFO:Preparing display monitor
- 2022-03-02 16:57:16,470:INFO:Importing libraries
- 2022-03-02 16:57:16,471:INFO:Copying data for preprocessing
- 2022-03-02 16:57:16,477:INFO:Declaring preprocessing parameters
- 2022-03-02 16:57:16,481:INFO:Creating preprocessing pipeline
- 2022-03-02 16:57:16,539:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:57:16,540:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:57:16,540:INFO:Creating global containers
- 2022-03-02 16:58:30,598:INFO:PyCaret Supervised Module
- 2022-03-02 16:58:30,598:INFO:ML Usecase: classification
- 2022-03-02 16:58:30,598:INFO:version 2.2.3
- 2022-03-02 16:58:30,598:INFO:Initializing setup()
- 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)
- 2022-03-02 16:58:30,598:INFO:Checking environment
- 2022-03-02 16:58:30,598:INFO:python_version: 3.9.7
- 2022-03-02 16:58:30,598:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:58:30,598:INFO:machine: AMD64
- 2022-03-02 16:58:30,598:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:58:30,598:INFO:Memory: svmem(total=34268372992, available=21998092288, percent=35.8, used=12270280704, free=21998092288)
- 2022-03-02 16:58:30,599:INFO:Physical Core: 8
- 2022-03-02 16:58:30,599:INFO:Logical Core: 16
- 2022-03-02 16:58:30,599:INFO:Checking libraries
- 2022-03-02 16:58:30,599:INFO:pd==1.3.4
- 2022-03-02 16:58:30,599:INFO:numpy==1.20.3
- 2022-03-02 16:58:30,599:INFO:sklearn==0.24.2
- 2022-03-02 16:58:30,599:INFO:xgboost==1.5.1
- 2022-03-02 16:58:30,599:INFO:lightgbm==3.3.2
- 2022-03-02 16:58:30,599:INFO:catboost==1.0.4
- 2022-03-02 16:58:30,599:INFO:mlflow==1.24.0
- 2022-03-02 16:58:30,599:INFO:Checking Exceptions
- 2022-03-02 16:58:30,599:INFO:Declaring global variables
- 2022-03-02 16:58:30,599:INFO:USI: 030d
- 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'}
- 2022-03-02 16:58:30,599:INFO:Preparing display monitor
- 2022-03-02 16:58:30,599:INFO:Preparing display monitor
- 2022-03-02 16:58:30,609:INFO:Importing libraries
- 2022-03-02 16:58:30,609:INFO:Copying data for preprocessing
- 2022-03-02 16:58:30,616:INFO:Declaring preprocessing parameters
- 2022-03-02 16:58:30,621:INFO:Creating preprocessing pipeline
- 2022-03-02 16:58:30,686:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:58:30,687:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:58:30,687:INFO:Creating global containers
- 2022-03-02 16:58:30,689:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-02 16:58:33,185:INFO:Creating grid variables
- 2022-03-02 16:58:33,195:INFO:create_model_container: 0
- 2022-03-02 16:58:33,195:INFO:master_model_container: 0
- 2022-03-02 16:58:33,196:INFO:display_container: 1
- 2022-03-02 16:58:41,564:INFO:PyCaret Supervised Module
- 2022-03-02 16:58:41,564:INFO:ML Usecase: classification
- 2022-03-02 16:58:41,564:INFO:version 2.2.3
- 2022-03-02 16:58:41,564:INFO:Initializing setup()
- 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)
- 2022-03-02 16:58:41,564:INFO:Checking environment
- 2022-03-02 16:58:41,565:INFO:python_version: 3.9.7
- 2022-03-02 16:58:41,565:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-02 16:58:41,565:INFO:machine: AMD64
- 2022-03-02 16:58:41,565:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-02 16:58:41,565:INFO:Memory: svmem(total=34268372992, available=21935177728, percent=36.0, used=12333195264, free=21935177728)
- 2022-03-02 16:58:41,565:INFO:Physical Core: 8
- 2022-03-02 16:58:41,565:INFO:Logical Core: 16
- 2022-03-02 16:58:41,565:INFO:Checking libraries
- 2022-03-02 16:58:41,565:INFO:pd==1.3.4
- 2022-03-02 16:58:41,565:INFO:numpy==1.20.3
- 2022-03-02 16:58:41,565:INFO:sklearn==0.24.2
- 2022-03-02 16:58:41,565:INFO:xgboost==1.5.1
- 2022-03-02 16:58:41,565:INFO:lightgbm==3.3.2
- 2022-03-02 16:58:41,565:INFO:catboost==1.0.4
- 2022-03-02 16:58:41,565:INFO:mlflow==1.24.0
- 2022-03-02 16:58:41,565:INFO:Checking Exceptions
- 2022-03-02 16:58:41,565:INFO:Declaring global variables
- 2022-03-02 16:58:41,565:INFO:USI: e9e1
- 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'}
- 2022-03-02 16:58:41,565:INFO:Preparing display monitor
- 2022-03-02 16:58:41,566:INFO:Preparing display monitor
- 2022-03-02 16:58:41,574:INFO:Importing libraries
- 2022-03-02 16:58:41,574:INFO:Copying data for preprocessing
- 2022-03-02 16:58:41,582:INFO:Declaring preprocessing parameters
- 2022-03-02 16:58:41,586:INFO:Creating preprocessing pipeline
- 2022-03-02 16:58:41,642:INFO:Preprocessing pipeline created successfully
- 2022-03-02 16:58:41,642:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-02 16:58:41,643:INFO:Creating global containers
- 2022-03-02 16:58:41,643:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-02 16:58:44,024:INFO:Creating grid variables
- 2022-03-02 16:58:44,034:INFO:create_model_container: 0
- 2022-03-02 16:58:44,034:INFO:master_model_container: 0
- 2022-03-02 16:58:44,034:INFO:display_container: 1
- 2022-03-03 08:35:38,416:INFO:PyCaret Supervised Module
- 2022-03-03 08:35:38,417:INFO:ML Usecase: classification
- 2022-03-03 08:35:38,417:INFO:version 2.2.3
- 2022-03-03 08:35:38,417:INFO:Initializing setup()
- 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)
- 2022-03-03 08:35:38,417:INFO:Checking environment
- 2022-03-03 08:35:38,417:INFO:python_version: 3.9.7
- 2022-03-03 08:35:38,417:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-03 08:35:38,417:INFO:machine: AMD64
- 2022-03-03 08:35:38,417:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-03 08:35:38,417:INFO:Memory: svmem(total=34268372992, available=11618340864, percent=66.1, used=22650032128, free=11618340864)
- 2022-03-03 08:35:38,417:INFO:Physical Core: 8
- 2022-03-03 08:35:38,417:INFO:Logical Core: 16
- 2022-03-03 08:35:38,417:INFO:Checking libraries
- 2022-03-03 08:35:38,417:INFO:pd==1.3.4
- 2022-03-03 08:35:38,417:INFO:numpy==1.20.3
- 2022-03-03 08:35:38,417:INFO:sklearn==0.24.2
- 2022-03-03 08:35:38,447:INFO:xgboost==1.5.1
- 2022-03-03 08:35:38,447:INFO:lightgbm==3.3.2
- 2022-03-03 08:35:38,565:INFO:catboost==1.0.4
- 2022-03-03 08:35:39,424:INFO:mlflow==1.24.0
- 2022-03-03 08:35:39,424:INFO:Checking Exceptions
- 2022-03-03 08:35:39,426:INFO:Declaring global variables
- 2022-03-03 08:35:39,426:INFO:USI: 9cce
- 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'}
- 2022-03-03 08:35:39,426:INFO:Preparing display monitor
- 2022-03-03 08:35:39,426:INFO:Preparing display monitor
- 2022-03-03 08:35:39,442:INFO:Importing libraries
- 2022-03-03 08:35:39,443:INFO:Copying data for preprocessing
- 2022-03-03 08:35:39,450:INFO:Declaring preprocessing parameters
- 2022-03-03 08:35:39,455:INFO:Creating preprocessing pipeline
- 2022-03-03 08:35:39,537:INFO:Preprocessing pipeline created successfully
- 2022-03-03 08:35:39,537:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-03 08:35:39,537:INFO:Creating global containers
- 2022-03-03 08:35:39,539:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-03 08:35:42,008:INFO:Creating grid variables
- 2022-03-03 08:35:42,021:INFO:create_model_container: 0
- 2022-03-03 08:35:42,021:INFO:master_model_container: 0
- 2022-03-03 08:35:42,022:INFO:display_container: 1
- 2022-03-03 08:35:49,553:INFO:Initializing load_model()
- 2022-03-03 08:35:49,553:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-03 09:26:09,213:INFO:PyCaret Supervised Module
- 2022-03-03 09:26:09,213:INFO:ML Usecase: classification
- 2022-03-03 09:26:09,214:INFO:version 2.2.3
- 2022-03-03 09:26:09,214:INFO:Initializing setup()
- 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)
- 2022-03-03 09:26:09,214:INFO:Checking environment
- 2022-03-03 09:26:09,214:INFO:python_version: 3.9.7
- 2022-03-03 09:26:09,215:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-03 09:26:09,215:INFO:machine: AMD64
- 2022-03-03 09:26:09,215:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-03 09:26:09,215:INFO:Memory: svmem(total=34268372992, available=13226156032, percent=61.4, used=21042216960, free=13226156032)
- 2022-03-03 09:26:09,215:INFO:Physical Core: 8
- 2022-03-03 09:26:09,215:INFO:Logical Core: 16
- 2022-03-03 09:26:09,215:INFO:Checking libraries
- 2022-03-03 09:26:09,215:INFO:pd==1.3.4
- 2022-03-03 09:26:09,215:INFO:numpy==1.20.3
- 2022-03-03 09:26:09,215:INFO:sklearn==0.24.2
- 2022-03-03 09:26:09,252:INFO:xgboost==1.5.1
- 2022-03-03 09:26:09,253:INFO:lightgbm==3.3.2
- 2022-03-03 09:26:09,278:INFO:catboost==1.0.4
- 2022-03-03 09:26:10,604:INFO:mlflow==1.24.0
- 2022-03-03 09:26:10,604:INFO:Checking Exceptions
- 2022-03-03 09:26:10,605:INFO:Declaring global variables
- 2022-03-03 09:26:10,605:INFO:USI: f116
- 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'}
- 2022-03-03 09:26:10,605:INFO:Preparing display monitor
- 2022-03-03 09:26:10,605:INFO:Preparing display monitor
- 2022-03-03 09:26:10,627:INFO:Importing libraries
- 2022-03-03 09:26:10,627:INFO:Copying data for preprocessing
- 2022-03-03 09:26:10,640:INFO:Declaring preprocessing parameters
- 2022-03-03 09:26:10,648:INFO:Creating preprocessing pipeline
- 2022-03-03 09:26:10,742:INFO:Preprocessing pipeline created successfully
- 2022-03-03 09:26:10,743:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-03 09:26:10,743:INFO:Creating global containers
- 2022-03-03 10:01:57,867:INFO:PyCaret Supervised Module
- 2022-03-03 10:01:57,868:INFO:ML Usecase: classification
- 2022-03-03 10:01:57,868:INFO:version 2.2.3
- 2022-03-03 10:01:57,868:INFO:Initializing setup()
- 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)
- 2022-03-03 10:01:57,868:INFO:Checking environment
- 2022-03-03 10:01:57,868:INFO:python_version: 3.9.7
- 2022-03-03 10:01:57,868:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-03 10:01:57,868:INFO:machine: AMD64
- 2022-03-03 10:01:57,868:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-03 10:01:57,868:INFO:Memory: svmem(total=34268372992, available=10138054656, percent=70.4, used=24130318336, free=10138054656)
- 2022-03-03 10:01:57,869:INFO:Physical Core: 8
- 2022-03-03 10:01:57,869:INFO:Logical Core: 16
- 2022-03-03 10:01:57,869:INFO:Checking libraries
- 2022-03-03 10:01:57,869:INFO:pd==1.3.4
- 2022-03-03 10:01:57,869:INFO:numpy==1.20.3
- 2022-03-03 10:01:57,869:INFO:sklearn==0.24.2
- 2022-03-03 10:01:57,912:INFO:xgboost==1.5.1
- 2022-03-03 10:01:57,912:INFO:lightgbm==3.3.2
- 2022-03-03 10:01:57,945:INFO:catboost==1.0.4
- 2022-03-03 10:01:59,371:INFO:mlflow==1.24.0
- 2022-03-03 10:01:59,372:INFO:Checking Exceptions
- 2022-03-03 10:01:59,373:INFO:Declaring global variables
- 2022-03-03 10:01:59,373:INFO:USI: 97a1
- 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'}
- 2022-03-03 10:01:59,373:INFO:Preparing display monitor
- 2022-03-03 10:01:59,373:INFO:Preparing display monitor
- 2022-03-03 10:01:59,396:INFO:Importing libraries
- 2022-03-03 10:01:59,396:INFO:Copying data for preprocessing
- 2022-03-03 10:01:59,409:INFO:Declaring preprocessing parameters
- 2022-03-03 10:01:59,418:INFO:Creating preprocessing pipeline
- 2022-03-03 10:01:59,510:INFO:Preprocessing pipeline created successfully
- 2022-03-03 10:01:59,510:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-03 10:01:59,510:INFO:Creating global containers
- 2022-03-03 10:02:08,286:INFO:PyCaret Supervised Module
- 2022-03-03 10:02:08,287:INFO:ML Usecase: classification
- 2022-03-03 10:02:08,287:INFO:version 2.2.3
- 2022-03-03 10:02:08,287:INFO:Initializing setup()
- 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)
- 2022-03-03 10:02:08,287:INFO:Checking environment
- 2022-03-03 10:02:08,287:INFO:python_version: 3.9.7
- 2022-03-03 10:02:08,287:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-03 10:02:08,287:INFO:machine: AMD64
- 2022-03-03 10:02:08,287:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-03 10:02:08,287:INFO:Memory: svmem(total=34268372992, available=10068316160, percent=70.6, used=24200056832, free=10068316160)
- 2022-03-03 10:02:08,288:INFO:Physical Core: 8
- 2022-03-03 10:02:08,288:INFO:Logical Core: 16
- 2022-03-03 10:02:08,288:INFO:Checking libraries
- 2022-03-03 10:02:08,288:INFO:pd==1.3.4
- 2022-03-03 10:02:08,288:INFO:numpy==1.20.3
- 2022-03-03 10:02:08,288:INFO:sklearn==0.24.2
- 2022-03-03 10:02:08,288:INFO:xgboost==1.5.1
- 2022-03-03 10:02:08,288:INFO:lightgbm==3.3.2
- 2022-03-03 10:02:08,288:INFO:catboost==1.0.4
- 2022-03-03 10:02:08,288:INFO:mlflow==1.24.0
- 2022-03-03 10:02:08,288:INFO:Checking Exceptions
- 2022-03-03 10:02:08,289:INFO:Declaring global variables
- 2022-03-03 10:02:08,289:INFO:USI: b405
- 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'}
- 2022-03-03 10:02:08,289:INFO:Preparing display monitor
- 2022-03-03 10:02:08,289:INFO:Preparing display monitor
- 2022-03-03 10:02:08,306:INFO:Importing libraries
- 2022-03-03 10:02:08,306:INFO:Copying data for preprocessing
- 2022-03-03 10:02:08,322:INFO:Declaring preprocessing parameters
- 2022-03-03 10:02:08,330:INFO:Creating preprocessing pipeline
- 2022-03-03 10:02:08,422:INFO:Preprocessing pipeline created successfully
- 2022-03-03 10:02:08,422:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-03 10:02:08,422:INFO:Creating global containers
- 2022-03-03 10:02:08,424:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-03 10:02:17,579:INFO:Creating grid variables
- 2022-03-03 10:02:17,597:INFO:create_model_container: 0
- 2022-03-03 10:02:17,597:INFO:master_model_container: 0
- 2022-03-03 10:02:17,597:INFO:display_container: 1
- 2022-03-11 11:11:35,829:INFO:Initializing load_model()
- 2022-03-11 11:11:35,832:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-11 11:13:03,945:INFO:PyCaret Supervised Module
- 2022-03-11 11:13:03,945:INFO:ML Usecase: classification
- 2022-03-11 11:13:03,946:INFO:version 2.3.6
- 2022-03-11 11:13:03,946:INFO:Initializing setup()
- 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)
- 2022-03-11 11:13:03,947:INFO:Checking environment
- 2022-03-11 11:13:03,947:INFO:python_version: 3.8.12
- 2022-03-11 11:13:03,948:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
- 2022-03-11 11:13:03,948:INFO:machine: x86_64
- 2022-03-11 11:13:03,948:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 2022-03-11 11:13:03,950:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
- 2022-03-11 11:13:03,950:INFO:Checking libraries
- 2022-03-11 11:13:03,950:INFO:pd==1.4.1
- 2022-03-11 11:13:03,951:INFO:numpy==1.19.5
- 2022-03-11 11:13:03,951:INFO:sklearn==0.23.2
- 2022-03-11 11:13:03,952:INFO:lightgbm==3.3.2
- 2022-03-11 11:13:03,953:WARNING:catboost not found
- 2022-03-11 11:13:04,040:INFO:xgboost==1.5.2
- 2022-03-11 11:13:05,247:INFO:mlflow==1.24.0
- 2022-03-11 11:13:05,249:INFO:Checking Exceptions
- 2022-03-11 11:13:05,253:INFO:Declaring global variables
- 2022-03-11 11:13:05,253:INFO:USI: a49d
- 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'}
- 2022-03-11 11:13:05,254:INFO:Preparing display monitor
- 2022-03-11 11:13:05,255:INFO:Preparing display monitor
- 2022-03-11 11:13:05,292:INFO:Importing libraries
- 2022-03-11 11:13:05,293:INFO:Copying data for preprocessing
- 2022-03-11 11:13:05,315:INFO:Declaring preprocessing parameters
- 2022-03-11 11:13:05,337:INFO:Creating preprocessing pipeline
- 2022-03-11 11:13:05,499:INFO:Preprocessing pipeline created successfully
- 2022-03-11 11:13:05,500:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-11 11:13:05,500:INFO:Creating global containers
- 2022-03-11 11:13:05,503:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-11 11:13:09,156:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-11 11:13:09,336:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-11 11:13:09,338:INFO:Creating grid variables
- 2022-03-11 11:13:09,378:INFO:create_model_container: 0
- 2022-03-11 11:13:09,379:INFO:master_model_container: 0
- 2022-03-11 11:13:09,379:INFO:display_container: 1
- 2022-03-11 11:13:09,386:INFO:Pipeline(memory=None,
- =======
- 2022-03-08 16:43:18,235:INFO:PyCaret Supervised Module
- 2022-03-08 16:43:18,235:INFO:ML Usecase: classification
- 2022-03-08 16:43:18,235:INFO:version 2.3.6
- 2022-03-08 16:43:18,235:INFO:Initializing setup()
- 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)
- 2022-03-08 16:43:18,236:INFO:Checking environment
- 2022-03-08 16:43:18,236:INFO:python_version: 3.8.8
- 2022-03-08 16:43:18,236:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-03-08 16:43:18,236:INFO:machine: x86_64
- 2022-03-08 16:43:18,236:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-03-08 16:43:18,237:INFO:Physical Core: 16
- 2022-03-08 16:43:18,238:INFO:Logical Core: 32
- 2022-03-08 16:43:18,238:INFO:Checking libraries
- 2022-03-08 16:43:18,238:INFO:pd==1.3.0
- 2022-03-08 16:43:18,238:INFO:numpy==1.19.5
- 2022-03-08 16:43:18,238:INFO:sklearn==0.23.2
- 2022-03-08 16:43:18,238:INFO:lightgbm==3.3.2
- 2022-03-08 16:43:18,239:WARNING:catboost not found
- 2022-03-08 16:43:18,310:INFO:xgboost==1.4.2
- 2022-03-08 16:43:18,502:INFO:mlflow==1.22.0
- 2022-03-08 16:43:18,503:INFO:Checking Exceptions
- 2022-03-08 16:43:18,504:INFO:Declaring global variables
- 2022-03-08 16:43:18,504:INFO:USI: 9eb1
- 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'}
- 2022-03-08 16:43:18,505:INFO:Preparing display monitor
- 2022-03-08 16:43:18,505:INFO:Preparing display monitor
- 2022-03-08 16:43:18,515:INFO:Importing libraries
- 2022-03-08 16:43:18,516:INFO:Copying data for preprocessing
- 2022-03-08 16:43:18,522:INFO:Declaring preprocessing parameters
- 2022-03-08 16:43:18,523:WARNING:cuML not found
- 2022-03-08 16:43:18,523:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-03-08 16:43:18,535:INFO:Creating preprocessing pipeline
- 2022-03-08 16:43:18,591:INFO:Preprocessing pipeline created successfully
- 2022-03-08 16:43:18,591:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-08 16:43:18,591:INFO:Creating global containers
- 2022-03-08 16:43:18,592:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-08 16:43:24,529:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-03-08 16:43:24,559:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-03-08 16:43:24,561:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-03-08 16:43:24,562:WARNING:Couldn't import cuml.svm.SVC
- 2022-03-08 16:43:24,579:WARNING:Couldn't import cuml.linear_model
- 2022-03-08 16:43:24,582:WARNING:Couldn't import cuml.ensemble
- 2022-03-08 16:43:24,630:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-08 16:43:24,631:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-03-08 16:43:24,668:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-03-08 16:43:24,669:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-03-08 16:43:24,670:WARNING:Couldn't import cuml.svm.SVC
- 2022-03-08 16:43:24,684:WARNING:Couldn't import cuml.linear_model
- 2022-03-08 16:43:24,688:WARNING:Couldn't import cuml.ensemble
- 2022-03-08 16:43:24,695:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-08 16:43:24,696:INFO:Creating grid variables
- 2022-03-08 16:43:24,706:INFO:create_model_container: 0
- 2022-03-08 16:43:24,706:INFO:master_model_container: 0
- 2022-03-08 16:43:24,706:INFO:display_container: 1
- 2022-03-08 16:43:24,709:INFO:Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- <<<<<<< HEAD
- 2022-03-11 11:13:09,387:INFO:setup() succesfully completed......................................
- 2022-03-11 11:13:12,937:INFO:Initializing load_model()
- 2022-03-11 11:13:12,938:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-11 11:13:15,323:INFO:Initializing predict_model()
- 2022-03-11 11:13:15,324:INFO:predict_model(estimator=Pipeline(memory=None,
- =======
- 2022-03-08 16:43:24,709:INFO:setup() succesfully completed......................................
- 2022-03-08 16:43:31,347:INFO:Initializing load_model()
- 2022-03-08 16:43:31,348:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-08 16:43:34,808:INFO:Initializing predict_model()
- 2022-03-08 16:43:34,809:INFO:predict_model(estimator=Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-11 11:13:15,324:INFO:Checking exceptions
- 2022-03-11 11:13:15,324:INFO:Preloading libraries
- 2022-03-11 11:13:15,325:INFO:Preparing display monitor
- 2022-03-11 11:13:20,045:INFO:Initializing get_config()
- 2022-03-11 11:13:20,045:INFO:get_config(variable=prep_pipe)
- 2022-03-11 11:13:20,052:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-08 16:43:34,809:INFO:Checking exceptions
- 2022-03-08 16:43:34,809:INFO:Preloading libraries
- 2022-03-08 16:43:34,809:INFO:Preparing display monitor
- 2022-03-08 16:44:24,244:INFO:Initializing get_config()
- 2022-03-08 16:44:24,245:INFO:get_config(variable=prep_pipe)
- 2022-03-08 16:44:24,247:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- <<<<<<< HEAD
- 2022-03-11 11:13:20,052:INFO:get_config() succesfully completed......................................
- 2022-03-11 11:13:20,053:INFO:Initializing get_config()
- 2022-03-11 11:13:20,053:INFO:get_config(variable=data_before_preprocess)
- 2022-03-11 11:13:20,066:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- =======
- 2022-03-08 16:44:24,248:INFO:get_config() succesfully completed......................................
- 2022-03-08 16:44:24,248:INFO:Initializing get_config()
- 2022-03-08 16:44:24,248:INFO:get_config(variable=data_before_preprocess)
- 2022-03-08 16:44:24,253:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
- ... ... ... ... ... ... ...
- 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
- 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- dd_temp door motion illum dayofweek month hour
- 0 2.472812e-16 0.0 0.0 0.0 0 8 0
- 1 2.472812e-16 0.0 0.0 0.0 0 8 0
- 2 2.472812e-16 0.0 0.0 0.0 0 8 0
- 3 2.472812e-16 0.0 0.0 0.0 0 8 0
- 4 2.472812e-16 0.0 0.0 0.0 0 8 0
- ... ... ... ... ... ... ... ...
- 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
- [64800 rows x 13 columns]
- <<<<<<< HEAD
- 2022-03-11 11:13:20,067:INFO:get_config() succesfully completed......................................
- 2022-03-11 11:13:20,075:INFO:Initializing get_config()
- 2022-03-11 11:13:20,076:INFO:get_config(variable=prep_pipe)
- 2022-03-11 11:13:20,090:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- =======
- 2022-03-08 16:44:24,253:INFO:get_config() succesfully completed......................................
- 2022-03-08 16:44:24,255:INFO:Initializing get_config()
- 2022-03-08 16:44:24,255:INFO:get_config(variable=prep_pipe)
- 2022-03-08 16:44:24,257:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- <<<<<<< HEAD
- 2022-03-11 11:13:20,090:INFO:get_config() succesfully completed......................................
- 2022-03-11 11:13:20,112:INFO:Initializing save_model()
- 2022-03-11 11:13:20,112:INFO:save_model(model=Pipeline(memory=None,
- =======
- 2022-03-08 16:44:24,258:INFO:get_config() succesfully completed......................................
- 2022-03-08 16:44:24,266:INFO:Initializing save_model()
- 2022-03-08 16:44:24,267:INFO:save_model(model=Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- <<<<<<< HEAD
- 2022-03-11 11:13:20,113:INFO:Adding model into prep_pipe
- 2022-03-11 11:13:20,944:WARNING:Only Model saved as it was a pipeline.
- 2022-03-11 11:13:21,422:INFO:my_api.pkl saved in current working directory
- 2022-03-11 11:13:21,449:INFO:Pipeline(memory=None,
- =======
- 2022-03-08 16:44:24,267:INFO:Adding model into prep_pipe
- 2022-03-08 16:44:24,479:WARNING:Only Model saved as it was a pipeline.
- 2022-03-08 16:44:24,592:INFO:my_api.pkl saved in current working directory
- 2022-03-08 16:44:24,599:INFO:Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-03-11 11:13:21,450:INFO:save_model() successfully completed......................................
- 2022-03-11 11:13:56,160:INFO:Initializing load_model()
- 2022-03-11 11:13:56,161:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-11 11:16:53,409:INFO:Initializing get_config()
- 2022-03-11 11:16:53,410:INFO:get_config(variable=prep_pipe)
- 2022-03-11 11:16:53,423:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False)
- 2022-03-08 16:44:24,599:INFO:save_model() successfully completed......................................
- 2022-03-08 16:47:19,261:INFO:Initializing load_model()
- 2022-03-08 16:47:19,261:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-10 14:23:53,143:INFO:Initializing load_model()
- 2022-03-10 14:23:53,143:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-10 14:26:18,574:INFO:PyCaret Supervised Module
- 2022-03-10 14:26:18,574:INFO:ML Usecase: classification
- 2022-03-10 14:26:18,575:INFO:version 2.3.6
- 2022-03-10 14:26:18,575:INFO:Initializing setup()
- 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)
- 2022-03-10 14:26:18,575:INFO:Checking environment
- 2022-03-10 14:26:18,575:INFO:python_version: 3.8.8
- 2022-03-10 14:26:18,575:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-03-10 14:26:18,576:INFO:machine: x86_64
- 2022-03-10 14:26:18,576:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-03-10 14:26:18,577:INFO:Physical Core: 16
- 2022-03-10 14:26:18,577:INFO:Logical Core: 32
- 2022-03-10 14:26:18,577:INFO:Checking libraries
- 2022-03-10 14:26:18,577:INFO:pd==1.3.0
- 2022-03-10 14:26:18,577:INFO:numpy==1.19.5
- 2022-03-10 14:26:18,578:INFO:sklearn==0.23.2
- 2022-03-10 14:26:18,578:INFO:lightgbm==3.3.2
- 2022-03-10 14:26:18,578:WARNING:catboost not found
- 2022-03-10 14:26:18,587:INFO:xgboost==1.4.2
- 2022-03-10 14:26:18,776:INFO:mlflow==1.22.0
- 2022-03-10 14:26:18,776:INFO:Checking Exceptions
- 2022-03-10 14:26:18,777:INFO:Declaring global variables
- 2022-03-10 14:26:18,778:INFO:USI: 7ea2
- 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'}
- 2022-03-10 14:26:18,778:INFO:Preparing display monitor
- 2022-03-10 14:26:18,778:INFO:Preparing display monitor
- 2022-03-10 14:26:18,788:INFO:Importing libraries
- 2022-03-10 14:26:18,788:INFO:Copying data for preprocessing
- 2022-03-10 14:26:18,794:INFO:Declaring preprocessing parameters
- 2022-03-10 14:26:18,795:WARNING:cuML not found
- 2022-03-10 14:26:18,795:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-03-10 14:26:18,799:INFO:Creating preprocessing pipeline
- 2022-03-10 14:26:18,842:INFO:Preprocessing pipeline created successfully
- 2022-03-10 14:26:18,842:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-10 14:26:18,843:INFO:Creating global containers
- 2022-03-10 14:26:18,843:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-10 14:26:20,980:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-03-10 14:26:21,009:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-03-10 14:26:21,011:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-03-10 14:26:21,012:WARNING:Couldn't import cuml.svm.SVC
- 2022-03-10 14:26:21,029:WARNING:Couldn't import cuml.linear_model
- 2022-03-10 14:26:21,032:WARNING:Couldn't import cuml.ensemble
- 2022-03-10 14:26:21,051:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-10 14:26:21,052:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-03-10 14:26:21,082:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-03-10 14:26:21,082:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-03-10 14:26:21,083:WARNING:Couldn't import cuml.svm.SVC
- 2022-03-10 14:26:21,097:WARNING:Couldn't import cuml.linear_model
- 2022-03-10 14:26:21,100:WARNING:Couldn't import cuml.ensemble
- 2022-03-10 14:26:21,107:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-10 14:26:21,107:INFO:Creating grid variables
- 2022-03-10 14:26:21,115:INFO:create_model_container: 0
- 2022-03-10 14:26:21,116:INFO:master_model_container: 0
- 2022-03-10 14:26:21,116:INFO:display_container: 1
- 2022-03-10 14:26:21,118:INFO:Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- <<<<<<< HEAD
- 2022-03-11 11:16:53,424:INFO:get_config() succesfully completed......................................
- 2022-03-11 11:16:53,424:INFO:Initializing get_config()
- 2022-03-11 11:16:53,425:INFO:get_config(variable=data_before_preprocess)
- 2022-03-11 11:16:53,455:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
- ... ... ... ... ... ... ...
- 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
- 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- dd_temp door motion illum dayofweek month hour
- 0 2.472812e-16 0.0 0.0 0.0 0 8 0
- 1 2.472812e-16 0.0 0.0 0.0 0 8 0
- 2 2.472812e-16 0.0 0.0 0.0 0 8 0
- 3 2.472812e-16 0.0 0.0 0.0 0 8 0
- 4 2.472812e-16 0.0 0.0 0.0 0 8 0
- ... ... ... ... ... ... ... ...
- 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
- [64800 rows x 13 columns]
- 2022-03-11 11:16:53,456:INFO:get_config() succesfully completed......................................
- 2022-03-11 11:16:53,478:INFO:Initializing get_config()
- 2022-03-11 11:16:53,479:INFO:get_config(variable=prep_pipe)
- 2022-03-11 11:16:53,488:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- =======
- 2022-03-10 14:26:21,119:INFO:setup() succesfully completed......................................
- 2022-03-10 14:26:27,874:INFO:PyCaret Supervised Module
- 2022-03-10 14:26:27,874:INFO:ML Usecase: classification
- 2022-03-10 14:26:27,874:INFO:version 2.3.6
- 2022-03-10 14:26:27,874:INFO:Initializing setup()
- 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)
- 2022-03-10 14:26:27,874:INFO:Checking environment
- 2022-03-10 14:26:27,875:INFO:python_version: 3.8.8
- 2022-03-10 14:26:27,875:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-03-10 14:26:27,875:INFO:machine: x86_64
- 2022-03-10 14:26:27,875:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-03-10 14:26:27,876:INFO:Physical Core: 16
- 2022-03-10 14:26:27,876:INFO:Logical Core: 32
- 2022-03-10 14:26:27,876:INFO:Checking libraries
- 2022-03-10 14:26:27,876:INFO:pd==1.3.0
- 2022-03-10 14:26:27,876:INFO:numpy==1.19.5
- 2022-03-10 14:26:27,876:INFO:sklearn==0.23.2
- 2022-03-10 14:26:27,877:INFO:lightgbm==3.3.2
- 2022-03-10 14:26:27,877:WARNING:catboost not found
- 2022-03-10 14:26:27,877:INFO:xgboost==1.4.2
- 2022-03-10 14:26:27,877:INFO:mlflow==1.22.0
- 2022-03-10 14:26:27,877:INFO:Checking Exceptions
- 2022-03-10 14:26:27,878:INFO:Declaring global variables
- 2022-03-10 14:26:27,878:INFO:USI: 1c4f
- 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'}
- 2022-03-10 14:26:27,878:INFO:Preparing display monitor
- 2022-03-10 14:26:27,878:INFO:Preparing display monitor
- 2022-03-10 14:26:27,885:INFO:Importing libraries
- 2022-03-10 14:26:27,885:INFO:Copying data for preprocessing
- 2022-03-10 14:26:27,891:INFO:Declaring preprocessing parameters
- 2022-03-10 14:26:27,894:INFO:Creating preprocessing pipeline
- 2022-03-10 14:26:27,937:INFO:Preprocessing pipeline created successfully
- 2022-03-10 14:26:27,938:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-10 14:26:27,938:INFO:Creating global containers
- 2022-03-10 14:26:27,938:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-10 14:26:29,775:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-10 14:26:29,821:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-10 14:26:29,821:INFO:Creating grid variables
- 2022-03-10 14:26:29,829:INFO:create_model_container: 0
- 2022-03-10 14:26:29,830:INFO:master_model_container: 0
- 2022-03-10 14:26:29,830:INFO:display_container: 1
- 2022-03-10 14:26:29,832:INFO:Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- <<<<<<< HEAD
- 2022-03-11 11:16:53,490:INFO:get_config() succesfully completed......................................
- 2022-03-11 11:16:53,527:INFO:Initializing save_model()
- 2022-03-11 11:16:53,528:INFO:save_model(model=Pipeline(memory=None,
- =======
- 2022-03-10 14:26:29,832:INFO:setup() succesfully completed......................................
- 2022-03-10 14:26:33,032:INFO:Initializing load_model()
- 2022-03-10 14:26:33,032:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-10 14:26:36,073:INFO:Initializing predict_model()
- 2022-03-10 14:26:36,073:INFO:predict_model(estimator=Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-10 14:26:36,073:INFO:Checking exceptions
- 2022-03-10 14:26:36,074:INFO:Preloading libraries
- 2022-03-10 14:26:36,074:INFO:Preparing display monitor
- 2022-03-10 14:26:39,636:INFO:Initializing get_config()
- 2022-03-10 14:26:39,637:INFO:get_config(variable=prep_pipe)
- 2022-03-10 14:26:39,639:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- <<<<<<< HEAD
- verbose=False), verbose=False, kwargs={})
- 2022-03-11 11:16:53,528:INFO:Adding model into prep_pipe
- 2022-03-11 11:16:54,550:WARNING:Only Model saved as it was a pipeline.
- 2022-03-11 11:16:55,135:INFO:my_api.pkl saved in current working directory
- 2022-03-11 11:16:55,167:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-03-11 11:16:55,168:INFO:save_model() successfully completed......................................
- 2022-03-11 11:17:34,648:INFO:Initializing load_model()
- 2022-03-11 11:17:34,648:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-11 11:17:56,502:INFO:Initializing load_model()
- 2022-03-11 11:17:56,505:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-11 11:22:28,068:INFO:Initializing load_model()
- 2022-03-11 11:22:28,068:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-11 16:28:36,690:INFO:Initializing load_model()
- 2022-03-11 16:28:36,690:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-11 17:01:42,714:INFO:PyCaret Supervised Module
- 2022-03-11 17:01:42,715:INFO:ML Usecase: classification
- 2022-03-11 17:01:42,716:INFO:version 2.3.6
- 2022-03-11 17:01:42,716:INFO:Initializing setup()
- 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)
- 2022-03-11 17:01:42,717:INFO:Checking environment
- 2022-03-11 17:01:42,717:INFO:python_version: 3.8.12
- 2022-03-11 17:01:42,718:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
- 2022-03-11 17:01:42,718:INFO:machine: x86_64
- 2022-03-11 17:01:42,719:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 2022-03-11 17:01:42,720:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
- 2022-03-11 17:01:42,720:INFO:Checking libraries
- 2022-03-11 17:01:42,721:INFO:pd==1.4.1
- 2022-03-11 17:01:42,741:INFO:numpy==1.19.5
- 2022-03-11 17:01:42,742:INFO:sklearn==0.23.2
- 2022-03-11 17:01:42,742:INFO:lightgbm==3.3.2
- 2022-03-11 17:01:42,743:WARNING:catboost not found
- 2022-03-11 17:01:42,843:INFO:xgboost==1.5.2
- 2022-03-11 17:01:44,372:INFO:mlflow==1.24.0
- 2022-03-11 17:01:44,374:INFO:Checking Exceptions
- 2022-03-11 17:01:44,378:INFO:Declaring global variables
- 2022-03-11 17:01:44,379:INFO:USI: 080c
- 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'}
- 2022-03-11 17:01:44,380:INFO:Preparing display monitor
- 2022-03-11 17:01:44,387:INFO:Preparing display monitor
- 2022-03-11 17:01:44,437:INFO:Importing libraries
- 2022-03-11 17:01:44,438:INFO:Copying data for preprocessing
- 2022-03-11 17:01:44,458:INFO:Declaring preprocessing parameters
- 2022-03-11 17:01:44,502:INFO:Creating preprocessing pipeline
- 2022-03-11 17:01:44,687:INFO:Preprocessing pipeline created successfully
- 2022-03-11 17:01:44,687:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-11 17:01:44,688:INFO:Creating global containers
- 2022-03-11 17:01:44,721:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-11 17:01:48,312:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-11 17:01:48,497:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-11 17:01:48,498:INFO:Creating grid variables
- 2022-03-11 17:01:48,539:INFO:create_model_container: 0
- 2022-03-11 17:01:48,540:INFO:master_model_container: 0
- 2022-03-11 17:01:48,543:INFO:display_container: 1
- 2022-03-11 17:01:48,551:INFO:Pipeline(memory=None,
- =======
- verbose=False)
- 2022-03-10 14:26:39,639:INFO:get_config() succesfully completed......................................
- 2022-03-10 14:26:39,639:INFO:Initializing get_config()
- 2022-03-10 14:26:39,640:INFO:get_config(variable=data_before_preprocess)
- 2022-03-10 14:26:39,644:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
- ... ... ... ... ... ... ...
- 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
- 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- dd_temp door motion illum dayofweek month hour
- 0 2.472812e-16 0.0 0.0 0.0 0 8 0
- 1 2.472812e-16 0.0 0.0 0.0 0 8 0
- 2 2.472812e-16 0.0 0.0 0.0 0 8 0
- 3 2.472812e-16 0.0 0.0 0.0 0 8 0
- 4 2.472812e-16 0.0 0.0 0.0 0 8 0
- ... ... ... ... ... ... ... ...
- 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
- [64800 rows x 13 columns]
- 2022-03-10 14:26:39,644:INFO:get_config() succesfully completed......................................
- 2022-03-10 14:26:39,646:INFO:Initializing get_config()
- 2022-03-10 14:26:39,646:INFO:get_config(variable=prep_pipe)
- 2022-03-10 14:26:39,649:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- <<<<<<< HEAD
- 2022-03-11 17:01:48,569:INFO:setup() succesfully completed......................................
- 2022-03-11 17:01:51,979:INFO:Initializing load_model()
- 2022-03-11 17:01:51,979:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-11 17:01:55,692:INFO:Initializing predict_model()
- 2022-03-11 17:01:55,693:INFO:predict_model(estimator=Pipeline(memory=None,
- =======
- 2022-03-10 14:26:39,649:INFO:get_config() succesfully completed......................................
- 2022-03-10 14:26:39,657:INFO:Initializing save_model()
- 2022-03-10 14:26:39,657:INFO:save_model(model=Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-11 17:01:55,693:INFO:Checking exceptions
- 2022-03-11 17:01:55,694:INFO:Preloading libraries
- 2022-03-11 17:01:55,694:INFO:Preparing display monitor
- 2022-03-11 17:02:04,079:INFO:Initializing get_config()
- 2022-03-11 17:02:04,081:INFO:get_config(variable=prep_pipe)
- 2022-03-11 17:02:04,095:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- <<<<<<< HEAD
- verbose=False)
- 2022-03-11 17:02:04,096:INFO:get_config() succesfully completed......................................
- 2022-03-11 17:02:04,097:INFO:Initializing get_config()
- 2022-03-11 17:02:04,097:INFO:get_config(variable=data_before_preprocess)
- 2022-03-11 17:02:04,128:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
- ... ... ... ... ... ... ...
- 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
- 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- dd_temp door motion illum dayofweek month hour
- 0 2.472812e-16 0.0 0.0 0.0 0 8 0
- 1 2.472812e-16 0.0 0.0 0.0 0 8 0
- 2 2.472812e-16 0.0 0.0 0.0 0 8 0
- 3 2.472812e-16 0.0 0.0 0.0 0 8 0
- 4 2.472812e-16 0.0 0.0 0.0 0 8 0
- ... ... ... ... ... ... ... ...
- 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
- [64800 rows x 13 columns]
- 2022-03-11 17:02:04,129:INFO:get_config() succesfully completed......................................
- 2022-03-11 17:02:04,145:INFO:Initializing get_config()
- 2022-03-11 17:02:04,145:INFO:get_config(variable=prep_pipe)
- 2022-03-11 17:02:04,161:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- =======
- verbose=False), verbose=False, kwargs={})
- 2022-03-10 14:26:39,657:INFO:Adding model into prep_pipe
- 2022-03-10 14:26:39,851:WARNING:Only Model saved as it was a pipeline.
- 2022-03-10 14:26:39,953:INFO:my_api.pkl saved in current working directory
- 2022-03-10 14:26:39,959:INFO:Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-11 17:02:04,162:INFO:get_config() succesfully completed......................................
- 2022-03-11 17:02:04,210:INFO:Initializing save_model()
- 2022-03-11 17:02:04,210:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False)
- 2022-03-10 14:26:39,959:INFO:save_model() successfully completed......................................
- 2022-03-10 14:26:48,867:INFO:Initializing load_model()
- 2022-03-10 14:26:48,867:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-10 14:28:53,796:INFO:Initializing predict_model()
- 2022-03-10 14:28:53,797:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- <<<<<<< HEAD
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- =======
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- importance_type=None, interaction_constraints='',
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-10 14:28:53,797:INFO:Checking exceptions
- 2022-03-10 14:28:53,797:INFO:Preloading libraries
- 2022-03-10 14:29:44,579:INFO:Initializing predict_model()
- 2022-03-10 14:29:44,579:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- importance_type=None, interaction_constraints='',
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-10 14:29:44,579:INFO:Checking exceptions
- 2022-03-10 14:29:44,579:INFO:Preloading libraries
- 2022-03-10 15:27:50,812:INFO:PyCaret Supervised Module
- 2022-03-10 15:27:50,813:INFO:ML Usecase: classification
- 2022-03-10 15:27:50,813:INFO:version 2.3.6
- 2022-03-10 15:27:50,813:INFO:Initializing setup()
- 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)
- 2022-03-10 15:27:50,813:INFO:Checking environment
- 2022-03-10 15:27:50,813:INFO:python_version: 3.8.8
- 2022-03-10 15:27:50,814:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-03-10 15:27:50,814:INFO:machine: x86_64
- 2022-03-10 15:27:50,814:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-03-10 15:27:50,815:INFO:Physical Core: 16
- 2022-03-10 15:27:50,815:INFO:Logical Core: 32
- 2022-03-10 15:27:50,815:INFO:Checking libraries
- 2022-03-10 15:27:50,815:INFO:pd==1.3.0
- 2022-03-10 15:27:50,815:INFO:numpy==1.19.5
- 2022-03-10 15:27:50,816:INFO:sklearn==0.23.2
- 2022-03-10 15:27:50,816:INFO:lightgbm==3.3.2
- 2022-03-10 15:27:50,816:WARNING:catboost not found
- 2022-03-10 15:27:50,826:INFO:xgboost==1.4.2
- 2022-03-10 15:27:50,946:INFO:mlflow==1.22.0
- 2022-03-10 15:27:50,947:INFO:Checking Exceptions
- 2022-03-10 15:27:50,947:INFO:Declaring global variables
- 2022-03-10 15:27:50,948:INFO:USI: d0bf
- 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'}
- 2022-03-10 15:27:50,948:INFO:Preparing display monitor
- 2022-03-10 15:27:50,948:INFO:Preparing display monitor
- 2022-03-10 15:27:50,957:INFO:Importing libraries
- 2022-03-10 15:27:50,957:INFO:Copying data for preprocessing
- 2022-03-10 15:27:50,963:INFO:Declaring preprocessing parameters
- 2022-03-10 15:27:50,966:INFO:Creating preprocessing pipeline
- 2022-03-10 15:27:51,008:INFO:Preprocessing pipeline created successfully
- 2022-03-10 15:27:51,009:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-10 15:27:51,009:INFO:Creating global containers
- 2022-03-10 15:27:51,009:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-10 15:27:53,765:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-10 15:27:53,812:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-10 15:27:53,812:INFO:Creating grid variables
- 2022-03-10 15:27:53,819:INFO:create_model_container: 0
- 2022-03-10 15:27:53,820:INFO:master_model_container: 0
- 2022-03-10 15:27:53,820:INFO:display_container: 1
- 2022-03-10 15:27:53,823:INFO:Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- <<<<<<< HEAD
- verbose=False), verbose=False, kwargs={})
- 2022-03-11 17:02:04,211:INFO:Adding model into prep_pipe
- 2022-03-11 17:02:05,059:WARNING:Only Model saved as it was a pipeline.
- 2022-03-11 17:02:05,769:INFO:my_api.pkl saved in current working directory
- 2022-03-11 17:02:05,797:INFO:Pipeline(memory=None,
- =======
- verbose=False)
- 2022-03-10 15:27:53,823:INFO:setup() succesfully completed......................................
- 2022-03-10 15:27:56,359:INFO:Initializing load_model()
- 2022-03-10 15:27:56,359:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-03-10 15:27:58,951:INFO:Initializing predict_model()
- 2022-03-10 15:27:58,951:INFO:predict_model(estimator=Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-03-11 17:02:05,797:INFO:save_model() successfully completed......................................
- 2022-03-11 17:02:25,990:INFO:Initializing load_model()
- 2022-03-11 17:02:25,991:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-11 17:02:51,270:INFO:Initializing load_model()
- 2022-03-11 17:02:51,280:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-11 17:06:51,343:INFO:Initializing get_config()
- 2022-03-11 17:06:51,344:INFO:get_config(variable=prep_pipe)
- 2022-03-11 17:06:51,349:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-10 15:27:58,951:INFO:Checking exceptions
- 2022-03-10 15:27:58,951:INFO:Preloading libraries
- 2022-03-10 15:27:58,952:INFO:Preparing display monitor
- 2022-03-10 15:28:01,674:INFO:Initializing get_config()
- 2022-03-10 15:28:01,674:INFO:get_config(variable=prep_pipe)
- 2022-03-10 15:28:01,677:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- <<<<<<< HEAD
- 2022-03-11 17:06:51,350:INFO:get_config() succesfully completed......................................
- 2022-03-11 17:06:51,350:INFO:Initializing get_config()
- 2022-03-11 17:06:51,350:INFO:get_config(variable=data_before_preprocess)
- 2022-03-11 17:06:51,360:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- =======
- 2022-03-10 15:28:01,677:INFO:get_config() succesfully completed......................................
- 2022-03-10 15:28:01,677:INFO:Initializing get_config()
- 2022-03-10 15:28:01,677:INFO:get_config(variable=data_before_preprocess)
- 2022-03-10 15:28:01,682:INFO:Global variable: data_before_preprocess returned as label hum d_hum dd_hum temp d_temp \
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- 0 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 1 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 2 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 3 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 1.057091e-14
- 4 0.0 78.0 -1.500000e-01 1.100289e-02 246.0 -8.534840e-16
- ... ... ... ... ... ... ...
- 64795 0.0 26.0 -9.020562e-17 4.591517e-19 191.0 -1.500000e-01
- 64796 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64797 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64798 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- 64799 0.0 26.0 -6.899281e-17 4.591517e-19 191.0 -1.500000e-01
- dd_temp door motion illum dayofweek month hour
- 0 2.472812e-16 0.0 0.0 0.0 0 8 0
- 1 2.472812e-16 0.0 0.0 0.0 0 8 0
- 2 2.472812e-16 0.0 0.0 0.0 0 8 0
- 3 2.472812e-16 0.0 0.0 0.0 0 8 0
- 4 2.472812e-16 0.0 0.0 0.0 0 8 0
- ... ... ... ... ... ... ... ...
- 64795 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64796 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64797 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64798 1.100289e-02 0.0 0.0 1.0 4 11 23
- 64799 1.100289e-02 0.0 0.0 1.0 4 11 23
- [64800 rows x 13 columns]
- <<<<<<< HEAD
- 2022-03-11 17:06:51,361:INFO:get_config() succesfully completed......................................
- 2022-03-11 17:06:51,364:INFO:Initializing get_config()
- 2022-03-11 17:06:51,365:INFO:get_config(variable=prep_pipe)
- 2022-03-11 17:06:51,370:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- =======
- 2022-03-10 15:28:01,682:INFO:get_config() succesfully completed......................................
- 2022-03-10 15:28:01,684:INFO:Initializing get_config()
- 2022-03-10 15:28:01,684:INFO:get_config(variable=prep_pipe)
- 2022-03-10 15:28:01,687:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- <<<<<<< HEAD
- 2022-03-11 17:06:51,370:INFO:get_config() succesfully completed......................................
- 2022-03-11 17:06:51,389:INFO:Initializing save_model()
- 2022-03-11 17:06:51,390:INFO:save_model(model=Pipeline(memory=None,
- =======
- 2022-03-10 15:28:01,687:INFO:get_config() succesfully completed......................................
- 2022-03-10 15:28:01,695:INFO:Initializing save_model()
- 2022-03-10 15:28:01,695:INFO:save_model(model=Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- <<<<<<< HEAD
- 2022-03-11 17:06:51,390:INFO:Adding model into prep_pipe
- 2022-03-11 17:06:51,830:WARNING:Only Model saved as it was a pipeline.
- 2022-03-11 17:06:52,063:INFO:my_api.pkl saved in current working directory
- 2022-03-11 17:06:52,077:INFO:Pipeline(memory=None,
- =======
- 2022-03-10 15:28:01,695:INFO:Adding model into prep_pipe
- 2022-03-10 15:28:01,891:WARNING:Only Model saved as it was a pipeline.
- 2022-03-10 15:28:01,992:INFO:my_api.pkl saved in current working directory
- 2022-03-10 15:28:01,998:INFO:Pipeline(memory=None,
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- <<<<<<< HEAD
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-03-11 17:06:52,078:INFO:save_model() successfully completed......................................
- 2022-03-11 17:06:59,645:INFO:Initializing load_model()
- 2022-03-11 17:06:59,645:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-16 09:44:42,954:INFO:Initializing load_model()
- 2022-03-16 09:44:42,997:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-16 09:45:07,483:INFO:Initializing load_model()
- 2022-03-16 09:45:07,484:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- =======
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False)
- 2022-03-10 15:28:01,998:INFO:save_model() successfully completed......................................
- 2022-03-15 09:38:48,566:INFO:Initializing load_model()
- 2022-03-15 09:38:48,566:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-15 09:39:27,615:INFO:Initializing predict_model()
- 2022-03-15 09:39:27,615:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- importance_type=None, interaction_constraints='',
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-15 09:39:27,616:INFO:Checking exceptions
- 2022-03-15 09:39:27,616:INFO:Preloading libraries
- >>>>>>> 28808bd2de73466b90e8bcc78440d2abc46c459a
- 2022-03-18 14:24:57,227:INFO:Initializing load_model()
- 2022-03-18 14:24:57,227:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-18 14:25:28,846:INFO:Initializing predict_model()
- 2022-03-18 14:25:28,847:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-18 14:25:28,847:INFO:Checking exceptions
- 2022-03-18 14:25:28,847:INFO:Preloading libraries
- 2022-03-18 14:25:36,801:INFO:Initializing predict_model()
- 2022-03-18 14:25:36,801:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-18 14:25:36,802:INFO:Checking exceptions
- 2022-03-18 14:25:36,802:INFO:Preloading libraries
- 2022-03-18 14:25:46,191:INFO:Initializing predict_model()
- 2022-03-18 14:25:46,191:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-18 14:25:46,191:INFO:Checking exceptions
- 2022-03-18 14:25:46,192:INFO:Preloading libraries
- 2022-03-18 14:25:52,325:INFO:Initializing predict_model()
- 2022-03-18 14:25:52,326:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-18 14:25:52,326:INFO:Checking exceptions
- 2022-03-18 14:25:52,326:INFO:Preloading libraries
- 2022-03-18 14:25:55,677:INFO:Initializing predict_model()
- 2022-03-18 14:25:55,677:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-18 14:25:55,678:INFO:Checking exceptions
- 2022-03-18 14:25:55,678:INFO:Preloading libraries
- 2022-03-21 16:03:32,126:INFO:Initializing load_model()
- 2022-03-21 16:03:32,127:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-21 16:05:51,862:INFO:Initializing predict_model()
- 2022-03-21 16:05:51,865:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-21 16:05:51,866:INFO:Checking exceptions
- 2022-03-21 16:05:51,869:INFO:Preloading libraries
- 2022-03-21 17:41:13,321:INFO:Initializing predict_model()
- 2022-03-21 17:41:13,325:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-21 17:41:13,326:INFO:Checking exceptions
- 2022-03-21 17:41:13,326:INFO:Preloading libraries
- 2022-03-21 17:45:09,493:INFO:Initializing predict_model()
- 2022-03-21 17:45:09,493:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-21 17:45:09,496:INFO:Checking exceptions
- 2022-03-21 17:45:09,499:INFO:Preloading libraries
- 2022-03-21 17:45:28,579:INFO:Initializing predict_model()
- 2022-03-21 17:45:28,580:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-21 17:45:28,580:INFO:Checking exceptions
- 2022-03-21 17:45:28,580:INFO:Preloading libraries
- 2022-03-21 17:45:37,153:INFO:Initializing predict_model()
- 2022-03-21 17:45:37,154:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-21 17:45:37,154:INFO:Checking exceptions
- 2022-03-21 17:45:37,154:INFO:Preloading libraries
- 2022-03-21 17:45:57,666:INFO:Initializing predict_model()
- 2022-03-21 17:45:57,667:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-21 17:45:57,668:INFO:Checking exceptions
- 2022-03-21 17:45:57,668:INFO:Preloading libraries
- 2022-03-23 15:45:49,475:INFO:PyCaret Supervised Module
- 2022-03-23 15:45:49,475:INFO:ML Usecase: classification
- 2022-03-23 15:45:49,476:INFO:version 2.3.6
- 2022-03-23 15:45:49,483:INFO:Initializing setup()
- 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)
- 2022-03-23 15:45:49,501:INFO:Checking environment
- 2022-03-23 15:45:49,503:INFO:python_version: 3.8.12
- 2022-03-23 15:45:49,504:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
- 2022-03-23 15:45:49,504:INFO:machine: x86_64
- 2022-03-23 15:45:49,505:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 2022-03-23 15:45:49,506:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
- 2022-03-23 15:45:49,507:INFO:Checking libraries
- 2022-03-23 15:45:49,507:INFO:pd==1.4.1
- 2022-03-23 15:45:49,508:INFO:numpy==1.19.5
- 2022-03-23 15:45:49,508:INFO:sklearn==0.23.2
- 2022-03-23 15:45:49,508:INFO:lightgbm==3.3.2
- 2022-03-23 15:45:49,526:WARNING:catboost not found
- 2022-03-23 15:45:49,741:INFO:xgboost==1.5.2
- 2022-03-23 15:45:50,941:INFO:mlflow==1.24.0
- 2022-03-23 15:45:50,951:INFO:Checking Exceptions
- 2022-03-23 15:45:50,952:INFO:Declaring global variables
- 2022-03-23 15:45:50,952:INFO:USI: 0df6
- 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'}
- 2022-03-23 15:45:50,953:INFO:Preparing display monitor
- 2022-03-23 15:45:50,953:INFO:Preparing display monitor
- 2022-03-23 15:45:51,007:INFO:Importing libraries
- 2022-03-23 15:45:51,008:INFO:Copying data for preprocessing
- 2022-03-23 15:45:51,044:INFO:Declaring preprocessing parameters
- 2022-03-23 15:45:51,072:INFO:Creating preprocessing pipeline
- 2022-03-23 15:45:51,223:INFO:Preprocessing pipeline created successfully
- 2022-03-23 15:45:51,224:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-23 15:45:51,225:INFO:Creating global containers
- 2022-03-23 15:45:51,228:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-23 15:45:57,630:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-23 15:45:57,809:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-23 15:45:57,811:INFO:Creating grid variables
- 2022-03-23 15:45:57,846:INFO:create_model_container: 0
- 2022-03-23 15:45:57,847:INFO:master_model_container: 0
- 2022-03-23 15:45:57,847:INFO:display_container: 1
- 2022-03-23 15:45:57,858:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-23 15:45:57,859:INFO:setup() succesfully completed......................................
- 2022-03-23 15:46:39,451:INFO:PyCaret Supervised Module
- 2022-03-23 15:46:39,453:INFO:ML Usecase: classification
- 2022-03-23 15:46:39,453:INFO:version 2.3.6
- 2022-03-23 15:46:39,454:INFO:Initializing setup()
- 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)
- 2022-03-23 15:46:39,455:INFO:Checking environment
- 2022-03-23 15:46:39,455:INFO:python_version: 3.8.12
- 2022-03-23 15:46:39,455:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
- 2022-03-23 15:46:39,456:INFO:machine: x86_64
- 2022-03-23 15:46:39,456:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 2022-03-23 15:46:39,457:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
- 2022-03-23 15:46:39,458:INFO:Checking libraries
- 2022-03-23 15:46:39,458:INFO:pd==1.4.1
- 2022-03-23 15:46:39,458:INFO:numpy==1.19.5
- 2022-03-23 15:46:39,459:INFO:sklearn==0.23.2
- 2022-03-23 15:46:39,459:INFO:lightgbm==3.3.2
- 2022-03-23 15:46:39,482:WARNING:catboost not found
- 2022-03-23 15:46:39,601:INFO:xgboost==1.5.2
- 2022-03-23 15:46:40,161:INFO:mlflow==1.24.0
- 2022-03-23 15:46:40,163:INFO:Checking Exceptions
- 2022-03-23 15:46:40,164:INFO:Declaring global variables
- 2022-03-23 15:46:40,164:INFO:USI: af98
- 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'}
- 2022-03-23 15:46:40,165:INFO:Preparing display monitor
- 2022-03-23 15:46:40,166:INFO:Preparing display monitor
- 2022-03-23 15:46:40,200:INFO:Importing libraries
- 2022-03-23 15:46:40,202:INFO:Copying data for preprocessing
- 2022-03-23 15:46:40,223:INFO:Declaring preprocessing parameters
- 2022-03-23 15:46:40,232:INFO:Creating preprocessing pipeline
- 2022-03-23 15:46:40,351:INFO:Preprocessing pipeline created successfully
- 2022-03-23 15:46:40,352:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-23 15:46:40,352:INFO:Creating global containers
- 2022-03-23 15:46:40,354:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-23 15:46:44,466:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-23 15:46:44,689:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-23 15:46:44,691:INFO:Creating grid variables
- 2022-03-23 15:46:44,753:INFO:create_model_container: 0
- 2022-03-23 15:46:44,753:INFO:master_model_container: 0
- 2022-03-23 15:46:44,754:INFO:display_container: 1
- 2022-03-23 15:46:44,771:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-23 15:46:44,771:INFO:setup() succesfully completed......................................
- 2022-03-23 15:46:55,477:INFO:Initializing create_model()
- 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})
- 2022-03-23 15:46:55,479:INFO:Checking exceptions
- 2022-03-23 15:46:55,479:INFO:Preparing display monitor
- 2022-03-23 15:46:55,538:INFO:Importing libraries
- 2022-03-23 15:46:55,539:INFO:Copying training dataset
- 2022-03-23 15:46:55,542:INFO:Defining folds
- 2022-03-23 15:46:55,543:INFO:Declaring metric variables
- 2022-03-23 15:46:55,564:INFO:Importing untrained model
- 2022-03-23 15:46:55,592:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-03-23 15:46:55,644:INFO:Starting cross validation
- 2022-03-23 15:46:55,655:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-03-23 15:52:46,281:INFO:PyCaret Supervised Module
- 2022-03-23 15:52:46,281:INFO:ML Usecase: classification
- 2022-03-23 15:52:46,281:INFO:version 2.2.3
- 2022-03-23 15:52:46,281:INFO:Initializing setup()
- 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)
- 2022-03-23 15:52:46,282:INFO:Checking environment
- 2022-03-23 15:52:46,282:INFO:python_version: 3.9.7
- 2022-03-23 15:52:46,282:INFO:python_build: ('default', 'Sep 16 2021 16:59:28')
- 2022-03-23 15:52:46,282:INFO:machine: AMD64
- 2022-03-23 15:52:46,282:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-23 15:52:46,282:INFO:Memory: svmem(total=34268372992, available=16321933312, percent=52.4, used=17946439680, free=16321933312)
- 2022-03-23 15:52:46,282:INFO:Physical Core: 8
- 2022-03-23 15:52:46,282:INFO:Logical Core: 16
- 2022-03-23 15:52:46,282:INFO:Checking libraries
- 2022-03-23 15:52:46,282:INFO:pd==1.3.4
- 2022-03-23 15:52:46,282:INFO:numpy==1.20.3
- 2022-03-23 15:52:46,282:INFO:sklearn==0.24.2
- 2022-03-23 15:52:46,307:INFO:xgboost==1.5.2
- 2022-03-23 15:52:46,307:INFO:lightgbm==3.3.2
- 2022-03-23 15:52:46,412:INFO:catboost==1.0.4
- 2022-03-23 15:52:47,045:INFO:mlflow==1.24.0
- 2022-03-23 15:52:47,045:INFO:Checking Exceptions
- 2022-03-23 15:52:47,047:INFO:Declaring global variables
- 2022-03-23 15:52:47,047:INFO:USI: 50e9
- 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'}
- 2022-03-23 15:52:47,047:INFO:Preparing display monitor
- 2022-03-23 15:52:47,047:INFO:Preparing display monitor
- 2022-03-23 15:52:47,061:INFO:Importing libraries
- 2022-03-23 15:52:47,061:INFO:Copying data for preprocessing
- 2022-03-23 15:52:47,068:INFO:Declaring preprocessing parameters
- 2022-03-23 15:52:47,069:WARNING:cuML not found
- 2022-03-23 15:52:47,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.0.4
- 2022-03-23 15:52:47,073:INFO:Creating preprocessing pipeline
- 2022-03-23 15:52:47,125:INFO:Preprocessing pipeline created successfully
- 2022-03-23 15:52:47,126:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-23 15:52:47,126:INFO:Creating global containers
- 2022-03-23 16:01:03,402:INFO:PyCaret Supervised Module
- 2022-03-23 16:01:03,402:INFO:ML Usecase: classification
- 2022-03-23 16:01:03,402:INFO:version 2.3.6
- 2022-03-23 16:01:03,403:INFO:Initializing setup()
- 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)
- 2022-03-23 16:01:03,403:INFO:Checking environment
- 2022-03-23 16:01:03,403:INFO:python_version: 3.8.12
- 2022-03-23 16:01:03,403:INFO:python_build: ('default', 'Oct 12 2021 03:01:40')
- 2022-03-23 16:01:03,403:INFO:machine: AMD64
- 2022-03-23 16:01:03,403:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-23 16:01:03,403:INFO:Memory: svmem(total=34268372992, available=16065380352, percent=53.1, used=18202992640, free=16065380352)
- 2022-03-23 16:01:03,403:INFO:Physical Core: 8
- 2022-03-23 16:01:03,403:INFO:Logical Core: 16
- 2022-03-23 16:01:03,403:INFO:Checking libraries
- 2022-03-23 16:01:03,403:INFO:pd==1.4.1
- 2022-03-23 16:01:03,403:INFO:numpy==1.19.5
- 2022-03-23 16:01:03,403:INFO:sklearn==0.23.2
- 2022-03-23 16:01:03,403:INFO:lightgbm==3.3.2
- 2022-03-23 16:01:03,404:WARNING:catboost not found
- 2022-03-23 16:01:03,487:INFO:xgboost==1.5.2
- 2022-03-23 16:01:03,961:INFO:mlflow==1.24.0
- 2022-03-23 16:01:03,961:INFO:Checking Exceptions
- 2022-03-23 16:01:03,961:INFO:Declaring global variables
- 2022-03-23 16:01:03,961:INFO:USI: 717f
- 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'}
- 2022-03-23 16:01:03,961:INFO:Preparing display monitor
- 2022-03-23 16:01:03,961:INFO:Preparing display monitor
- 2022-03-23 16:01:03,975:INFO:Importing libraries
- 2022-03-23 16:01:03,975:INFO:Copying data for preprocessing
- 2022-03-23 16:01:03,982:INFO:Declaring preprocessing parameters
- 2022-03-23 16:01:03,983:WARNING:cuML not found
- 2022-03-23 16:01:03,983:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-03-23 16:01:03,987:INFO:Creating preprocessing pipeline
- 2022-03-23 16:01:04,068:INFO:Preprocessing pipeline created successfully
- 2022-03-23 16:01:04,068:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-23 16:01:04,068:INFO:Creating global containers
- 2022-03-23 16:01:04,070:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-23 16:01:06,529:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-03-23 16:01:06,583:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-03-23 16:01:06,585:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-03-23 16:01:06,587:WARNING:Couldn't import cuml.svm.SVC
- 2022-03-23 16:01:06,619:WARNING:Couldn't import cuml.linear_model
- 2022-03-23 16:01:06,625:WARNING:Couldn't import cuml.ensemble
- 2022-03-23 16:01:10,722:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-23 16:01:10,723:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-03-23 16:01:10,794:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-03-23 16:01:10,795:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-03-23 16:01:10,797:WARNING:Couldn't import cuml.svm.SVC
- 2022-03-23 16:01:10,833:WARNING:Couldn't import cuml.linear_model
- 2022-03-23 16:01:10,840:WARNING:Couldn't import cuml.ensemble
- 2022-03-23 16:01:11,076:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-23 16:01:11,077:INFO:Creating grid variables
- 2022-03-23 16:01:11,092:INFO:create_model_container: 0
- 2022-03-23 16:01:11,092:INFO:master_model_container: 0
- 2022-03-23 16:01:11,092:INFO:display_container: 1
- 2022-03-23 16:01:11,099:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-23 16:01:11,099:INFO:setup() succesfully completed......................................
- 2022-03-23 16:01:18,702:INFO:Initializing create_model()
- 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})
- 2022-03-23 16:01:18,702:INFO:Checking exceptions
- 2022-03-23 16:01:18,702:INFO:Preparing display monitor
- 2022-03-23 16:01:18,717:INFO:Importing libraries
- 2022-03-23 16:01:18,718:INFO:Copying training dataset
- 2022-03-23 16:01:18,719:INFO:Defining folds
- 2022-03-23 16:01:18,719:INFO:Declaring metric variables
- 2022-03-23 16:01:18,727:INFO:Importing untrained model
- 2022-03-23 16:01:18,734:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-03-23 16:01:18,747:INFO:Starting cross validation
- 2022-03-23 16:01:18,748:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-03-23 16:02:41,668:INFO:Calculating mean and std
- 2022-03-23 16:02:41,669:INFO:Creating metrics dataframe
- 2022-03-23 16:02:41,715:INFO:Finalizing model
- 2022-03-23 16:02:43,127:INFO:Uploading results into container
- 2022-03-23 16:02:43,127:INFO:Uploading model into container now
- 2022-03-23 16:02:43,136:INFO:create_model_container: 1
- 2022-03-23 16:02:43,136:INFO:master_model_container: 1
- 2022-03-23 16:02:43,136:INFO:display_container: 2
- 2022-03-23 16:02:43,138:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-03-23 16:02:43,138:INFO:create_model() succesfully completed......................................
- 2022-03-23 16:03:21,994:INFO:Initializing tune_model()
- 2022-03-23 16:03:21,994:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-03-23 16:03:21,994:INFO:Checking exceptions
- 2022-03-23 16:03:21,995:INFO:Preparing display monitor
- 2022-03-23 16:03:22,009:INFO:Copying training dataset
- 2022-03-23 16:03:22,011:INFO:Checking base model
- 2022-03-23 16:03:22,011:INFO:Base model : Extreme Gradient Boosting
- 2022-03-23 16:03:22,019:INFO:Declaring metric variables
- 2022-03-23 16:03:22,025:INFO:Defining Hyperparameters
- 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]}
- 2022-03-23 16:03:22,132:INFO:Tuning with n_jobs=1
- 2022-03-23 16:03:22,132:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-03-23 16:17:03,954:INFO:Hyperparameter search completed
- 2022-03-23 16:17:03,954:INFO:SubProcess create_model() called ==================================
- 2022-03-23 16:17:03,955:INFO:Initializing create_model()
- 2022-03-23 16:17:03,955:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-03-23 16:17:03,956:INFO:Checking exceptions
- 2022-03-23 16:17:03,956:INFO:Importing libraries
- 2022-03-23 16:17:03,956:INFO:Copying training dataset
- 2022-03-23 16:17:03,957:INFO:Defining folds
- 2022-03-23 16:17:03,958:INFO:Declaring metric variables
- 2022-03-23 16:17:03,966:INFO:Importing untrained model
- 2022-03-23 16:17:03,966:INFO:Declaring custom model
- 2022-03-23 16:17:03,975:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-03-23 16:17:03,989:INFO:Starting cross validation
- 2022-03-23 16:17:03,991:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-03-23 16:19:08,970:INFO:Calculating mean and std
- 2022-03-23 16:19:08,971:INFO:Creating metrics dataframe
- 2022-03-23 16:19:09,022:INFO:Finalizing model
- 2022-03-23 16:19:22,216:INFO:Uploading results into container
- 2022-03-23 16:19:22,216:INFO:Uploading model into container now
- 2022-03-23 16:19:22,216:INFO:create_model_container: 2
- 2022-03-23 16:19:22,217:INFO:master_model_container: 2
- 2022-03-23 16:19:22,217:INFO:display_container: 3
- 2022-03-23 16:19:22,218:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.4,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-03-23 16:19:22,218:INFO:create_model() succesfully completed......................................
- 2022-03-23 16:19:22,312:INFO:SubProcess create_model() end ==================================
- 2022-03-23 16:19:22,332:INFO:create_model_container: 2
- 2022-03-23 16:19:22,332:INFO:master_model_container: 2
- 2022-03-23 16:19:22,332:INFO:display_container: 3
- 2022-03-23 16:19:22,334:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.4,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-03-23 16:19:22,334:INFO:tune_model() succesfully completed......................................
- 2022-03-23 16:19:57,424:INFO:Initializing finalize_model()
- 2022-03-23 16:19:57,424:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.4,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
- 2022-03-23 16:19:57,426:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.4,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-03-23 16:19:57,427:INFO:Initializing create_model()
- 2022-03-23 16:19:57,427:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.4,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-03-23 16:19:57,427:INFO:Checking exceptions
- 2022-03-23 16:19:57,427:INFO:Importing libraries
- 2022-03-23 16:19:57,427:INFO:Copying training dataset
- 2022-03-23 16:19:57,430:INFO:Defining folds
- 2022-03-23 16:19:57,431:INFO:Declaring metric variables
- 2022-03-23 16:19:57,431:INFO:Importing untrained model
- 2022-03-23 16:19:57,431:INFO:Declaring custom model
- 2022-03-23 16:19:57,433:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-03-23 16:19:57,433:INFO:Starting cross validation
- 2022-03-23 16:19:57,434:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-03-23 16:22:17,194:INFO:Calculating mean and std
- 2022-03-23 16:22:17,194:INFO:Creating metrics dataframe
- 2022-03-23 16:22:17,242:INFO:Finalizing model
- 2022-03-23 16:22:33,152:INFO:create_model_container: 2
- 2022-03-23 16:22:33,152:INFO:master_model_container: 2
- 2022-03-23 16:22:33,152:INFO:display_container: 4
- 2022-03-23 16:22:33,154:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.4,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-03-23 16:22:33,154:INFO:create_model() succesfully completed......................................
- 2022-03-23 16:22:33,294:INFO:create_model_container: 2
- 2022-03-23 16:22:33,295:INFO:master_model_container: 2
- 2022-03-23 16:22:33,295:INFO:display_container: 3
- 2022-03-23 16:22:33,296:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.4,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-03-23 16:22:33,296:INFO:finalize_model() succesfully completed......................................
- 2022-03-23 16:22:33,402:INFO:Initializing save_model()
- 2022-03-23 16:22:33,402:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.4,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=4096, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_orifeature_0323, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-03-23 16:22:33,402:INFO:Adding model into prep_pipe
- 2022-03-23 16:22:33,628:INFO:tuned_xgboost_orifeature_0323.pkl saved in current working directory
- 2022-03-23 16:22:33,639:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-03-23 16:22:33,640:INFO:save_model() successfully completed......................................
- 2022-03-23 16:23:48,066:INFO:PyCaret Supervised Module
- 2022-03-23 16:23:48,066:INFO:ML Usecase: classification
- 2022-03-23 16:23:48,066:INFO:version 2.3.6
- 2022-03-23 16:23:48,066:INFO:Initializing setup()
- 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)
- 2022-03-23 16:23:48,066:INFO:Checking environment
- 2022-03-23 16:23:48,066:INFO:python_version: 3.8.12
- 2022-03-23 16:23:48,066:INFO:python_build: ('default', 'Oct 12 2021 03:01:40')
- 2022-03-23 16:23:48,066:INFO:machine: AMD64
- 2022-03-23 16:23:48,066:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-23 16:23:48,066:INFO:Memory: svmem(total=34268372992, available=17451642880, percent=49.1, used=16816730112, free=17451642880)
- 2022-03-23 16:23:48,066:INFO:Physical Core: 8
- 2022-03-23 16:23:48,066:INFO:Logical Core: 16
- 2022-03-23 16:23:48,066:INFO:Checking libraries
- 2022-03-23 16:23:48,066:INFO:pd==1.4.1
- 2022-03-23 16:23:48,067:INFO:numpy==1.19.5
- 2022-03-23 16:23:48,067:INFO:sklearn==0.23.2
- 2022-03-23 16:23:48,067:INFO:lightgbm==3.3.2
- 2022-03-23 16:23:48,068:WARNING:catboost not found
- 2022-03-23 16:23:48,141:INFO:xgboost==1.5.2
- 2022-03-23 16:23:48,531:INFO:mlflow==1.24.0
- 2022-03-23 16:23:48,531:INFO:Checking Exceptions
- 2022-03-23 16:23:48,532:INFO:Declaring global variables
- 2022-03-23 16:23:48,532:INFO:USI: 0b4d
- 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'}
- 2022-03-23 16:23:48,532:INFO:Preparing display monitor
- 2022-03-23 16:23:48,532:INFO:Preparing display monitor
- 2022-03-23 16:23:48,546:INFO:Importing libraries
- 2022-03-23 16:23:48,546:INFO:Copying data for preprocessing
- 2022-03-23 16:23:48,554:INFO:Declaring preprocessing parameters
- 2022-03-23 16:23:48,559:INFO:Creating preprocessing pipeline
- 2022-03-23 16:23:48,633:INFO:Preprocessing pipeline created successfully
- 2022-03-23 16:23:48,634:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-23 16:23:48,634:INFO:Creating global containers
- 2022-03-23 16:23:48,635:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-23 16:23:51,882:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-23 16:23:51,974:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-23 16:23:51,976:INFO:Creating grid variables
- 2022-03-23 16:23:51,987:INFO:create_model_container: 0
- 2022-03-23 16:23:51,987:INFO:master_model_container: 0
- 2022-03-23 16:23:51,988:INFO:display_container: 1
- 2022-03-23 16:23:51,992:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-23 16:23:51,992:INFO:setup() succesfully completed......................................
- 2022-03-23 16:23:56,900:INFO:Initializing load_model()
- 2022-03-23 16:23:56,901:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-03-23 16:24:02,426:INFO:Initializing predict_model()
- 2022-03-23 16:24:02,426:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-23 16:24:02,427:INFO:Checking exceptions
- 2022-03-23 16:24:02,427:INFO:Preloading libraries
- 2022-03-23 16:24:02,427:INFO:Preparing display monitor
- 2022-03-23 16:24:14,756:INFO:Initializing get_config()
- 2022-03-23 16:24:14,756:INFO:get_config(variable=prep_pipe)
- 2022-03-23 16:24:14,760:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-23 16:24:14,760:INFO:get_config() succesfully completed......................................
- 2022-03-23 16:24:14,760:INFO:Initializing get_config()
- 2022-03-23 16:24:14,760:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-03-23 16:24:14,767:INFO:get_config() succesfully completed......................................
- 2022-03-23 16:24:14,770:INFO:Initializing get_config()
- 2022-03-23 16:24:14,770:INFO:get_config(variable=prep_pipe)
- 2022-03-23 16:24:14,774:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-23 16:24:14,774:INFO:get_config() succesfully completed......................................
- 2022-03-23 16:24:14,789:INFO:Initializing save_model()
- 2022-03-23 16:24:14,789:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-03-23 16:24:14,789:INFO:Adding model into prep_pipe
- 2022-03-23 16:24:15,182:WARNING:Only Model saved as it was a pipeline.
- 2022-03-23 16:24:15,424:INFO:my_api.pkl saved in current working directory
- 2022-03-23 16:24:15,437:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-03-23 16:24:15,437:INFO:save_model() successfully completed......................................
- 2022-03-23 16:25:36,841:INFO:Initializing load_model()
- 2022-03-23 16:25:36,841:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-28 13:54:05,839:INFO:PyCaret Supervised Module
- 2022-03-28 13:54:05,840:INFO:ML Usecase: classification
- 2022-03-28 13:54:05,840:INFO:version 2.3.6
- 2022-03-28 13:54:05,840:INFO:Initializing setup()
- 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)
- 2022-03-28 13:54:05,841:INFO:Checking environment
- 2022-03-28 13:54:05,841:INFO:python_version: 3.8.12
- 2022-03-28 13:54:05,842:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
- 2022-03-28 13:54:05,842:INFO:machine: x86_64
- 2022-03-28 13:54:05,842:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 2022-03-28 13:54:05,844:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
- 2022-03-28 13:54:05,844:INFO:Checking libraries
- 2022-03-28 13:54:05,844:INFO:pd==1.3.5
- 2022-03-28 13:54:05,845:INFO:numpy==1.21.2
- 2022-03-28 13:54:05,845:INFO:sklearn==0.23.2
- 2022-03-28 13:54:05,846:INFO:lightgbm==3.3.2
- 2022-03-28 13:54:05,847:WARNING:catboost not found
- 2022-03-28 13:54:06,066:INFO:xgboost==1.5.2
- 2022-03-28 13:54:07,051:INFO:mlflow==1.24.0
- 2022-03-28 13:54:07,054:INFO:Checking Exceptions
- 2022-03-28 13:54:07,060:INFO:Declaring global variables
- 2022-03-28 13:54:07,061:INFO:USI: 4e71
- 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'}
- 2022-03-28 13:54:07,062:INFO:Preparing display monitor
- 2022-03-28 13:54:07,063:INFO:Preparing display monitor
- 2022-03-28 13:54:07,107:INFO:Importing libraries
- 2022-03-28 13:54:07,108:INFO:Copying data for preprocessing
- 2022-03-28 13:54:07,134:INFO:Declaring preprocessing parameters
- 2022-03-28 13:54:07,156:INFO:Creating preprocessing pipeline
- 2022-03-28 13:54:07,313:INFO:Preprocessing pipeline created successfully
- 2022-03-28 13:54:07,313:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-28 13:54:07,314:INFO:Creating global containers
- 2022-03-28 13:54:07,317:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-28 13:54:10,242:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-28 13:54:10,415:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-28 13:54:10,416:INFO:Creating grid variables
- 2022-03-28 13:54:10,452:INFO:create_model_container: 0
- 2022-03-28 13:54:10,453:INFO:master_model_container: 0
- 2022-03-28 13:54:10,453:INFO:display_container: 1
- 2022-03-28 13:54:10,459:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-28 13:54:10,460:INFO:setup() succesfully completed......................................
- 2022-03-28 13:54:15,808:INFO:Initializing load_model()
- 2022-03-28 13:54:15,809:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-03-28 13:56:52,507:INFO:PyCaret Supervised Module
- 2022-03-28 13:56:52,507:INFO:ML Usecase: classification
- 2022-03-28 13:56:52,507:INFO:version 2.3.6
- 2022-03-28 13:56:52,507:INFO:Initializing setup()
- 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)
- 2022-03-28 13:56:52,507:INFO:Checking environment
- 2022-03-28 13:56:52,507:INFO:python_version: 3.8.12
- 2022-03-28 13:56:52,508:INFO:python_build: ('default', 'Oct 12 2021 03:01:40')
- 2022-03-28 13:56:52,508:INFO:machine: AMD64
- 2022-03-28 13:56:52,508:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-03-28 13:56:52,508:INFO:Memory: svmem(total=34268372992, available=9714499584, percent=71.7, used=24553873408, free=9714499584)
- 2022-03-28 13:56:52,508:INFO:Physical Core: 8
- 2022-03-28 13:56:52,508:INFO:Logical Core: 16
- 2022-03-28 13:56:52,508:INFO:Checking libraries
- 2022-03-28 13:56:52,508:INFO:pd==1.4.1
- 2022-03-28 13:56:52,508:INFO:numpy==1.19.5
- 2022-03-28 13:56:52,508:INFO:sklearn==0.23.2
- 2022-03-28 13:56:52,508:INFO:lightgbm==3.3.2
- 2022-03-28 13:56:52,510:WARNING:catboost not found
- 2022-03-28 13:56:52,642:INFO:xgboost==1.5.2
- 2022-03-28 13:56:53,368:INFO:mlflow==1.24.0
- 2022-03-28 13:56:53,369:INFO:Checking Exceptions
- 2022-03-28 13:56:53,371:INFO:Declaring global variables
- 2022-03-28 13:56:53,371:INFO:USI: 3bff
- 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'}
- 2022-03-28 13:56:53,371:INFO:Preparing display monitor
- 2022-03-28 13:56:53,371:INFO:Preparing display monitor
- 2022-03-28 13:56:53,390:INFO:Importing libraries
- 2022-03-28 13:56:53,391:INFO:Copying data for preprocessing
- 2022-03-28 13:56:53,400:INFO:Declaring preprocessing parameters
- 2022-03-28 13:56:53,404:INFO:Creating preprocessing pipeline
- 2022-03-28 13:56:53,502:INFO:Preprocessing pipeline created successfully
- 2022-03-28 13:56:53,502:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-28 13:56:53,502:INFO:Creating global containers
- 2022-03-28 13:56:53,504:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-28 13:56:56,819:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-28 13:56:56,935:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-28 13:56:56,938:INFO:Creating grid variables
- 2022-03-28 13:56:56,954:INFO:create_model_container: 0
- 2022-03-28 13:56:56,954:INFO:master_model_container: 0
- 2022-03-28 13:56:56,954:INFO:display_container: 1
- 2022-03-28 13:56:56,961:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-28 13:56:56,961:INFO:setup() succesfully completed......................................
- 2022-03-28 13:56:59,877:INFO:Initializing load_model()
- 2022-03-28 13:56:59,878:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-03-28 14:01:21,203:INFO:PyCaret Supervised Module
- 2022-03-28 14:01:21,203:INFO:ML Usecase: classification
- 2022-03-28 14:01:21,205:INFO:version 2.3.6
- 2022-03-28 14:01:21,205:INFO:Initializing setup()
- 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)
- 2022-03-28 14:01:21,206:INFO:Checking environment
- 2022-03-28 14:01:21,206:INFO:python_version: 3.8.12
- 2022-03-28 14:01:21,206:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
- 2022-03-28 14:01:21,207:INFO:machine: x86_64
- 2022-03-28 14:01:21,207:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 2022-03-28 14:01:21,208:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
- 2022-03-28 14:01:21,208:INFO:Checking libraries
- 2022-03-28 14:01:21,208:INFO:pd==1.4.0
- 2022-03-28 14:01:21,209:INFO:numpy==1.21.2
- 2022-03-28 14:01:21,209:INFO:sklearn==0.23.2
- 2022-03-28 14:01:21,209:INFO:lightgbm==3.3.2
- 2022-03-28 14:01:21,210:WARNING:catboost not found
- 2022-03-28 14:01:21,261:INFO:xgboost==1.5.2
- 2022-03-28 14:01:21,494:INFO:mlflow==1.24.0
- 2022-03-28 14:01:21,496:INFO:Checking Exceptions
- 2022-03-28 14:01:21,496:INFO:Declaring global variables
- 2022-03-28 14:01:21,496:INFO:USI: 9b12
- 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'}
- 2022-03-28 14:01:21,497:INFO:Preparing display monitor
- 2022-03-28 14:01:21,497:INFO:Preparing display monitor
- 2022-03-28 14:01:21,513:INFO:Importing libraries
- 2022-03-28 14:01:21,514:INFO:Copying data for preprocessing
- 2022-03-28 14:01:21,523:INFO:Declaring preprocessing parameters
- 2022-03-28 14:01:21,530:INFO:Creating preprocessing pipeline
- 2022-03-28 14:01:21,598:INFO:Preprocessing pipeline created successfully
- 2022-03-28 14:01:21,598:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-03-28 14:01:21,599:INFO:Creating global containers
- 2022-03-28 14:01:21,600:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-03-28 14:01:23,810:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-28 14:01:23,909:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-03-28 14:01:23,910:INFO:Creating grid variables
- 2022-03-28 14:01:23,924:INFO:create_model_container: 0
- 2022-03-28 14:01:23,925:INFO:master_model_container: 0
- 2022-03-28 14:01:23,925:INFO:display_container: 1
- 2022-03-28 14:01:23,930:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-28 14:01:23,930:INFO:setup() succesfully completed......................................
- 2022-03-28 14:01:26,642:INFO:Initializing load_model()
- 2022-03-28 14:01:26,643:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-03-28 14:01:29,815:INFO:Initializing predict_model()
- 2022-03-28 14:01:29,816:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-28 14:01:29,816:INFO:Checking exceptions
- 2022-03-28 14:01:29,816:INFO:Preloading libraries
- 2022-03-28 14:01:29,817:INFO:Preparing display monitor
- 2022-03-28 14:01:38,513:INFO:Initializing get_config()
- 2022-03-28 14:01:38,514:INFO:get_config(variable=prep_pipe)
- 2022-03-28 14:01:38,519:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-28 14:01:38,520:INFO:get_config() succesfully completed......................................
- 2022-03-28 14:01:38,520:INFO:Initializing get_config()
- 2022-03-28 14:01:38,520:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-03-28 14:01:38,527:INFO:get_config() succesfully completed......................................
- 2022-03-28 14:01:38,530:INFO:Initializing get_config()
- 2022-03-28 14:01:38,531:INFO:get_config(variable=prep_pipe)
- 2022-03-28 14:01:38,536:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-03-28 14:01:38,536:INFO:get_config() succesfully completed......................................
- 2022-03-28 14:01:38,554:INFO:Initializing save_model()
- 2022-03-28 14:01:38,555:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-03-28 14:01:38,555:INFO:Adding model into prep_pipe
- 2022-03-28 14:01:38,891:WARNING:Only Model saved as it was a pipeline.
- 2022-03-28 14:01:39,081:INFO:my_api.pkl saved in current working directory
- 2022-03-28 14:01:39,095:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-03-28 14:01:39,095:INFO:save_model() successfully completed......................................
- 2022-03-28 14:02:17,486:INFO:Initializing load_model()
- 2022-03-28 14:02:17,486:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-28 14:04:12,024:INFO:Initializing load_model()
- 2022-03-28 14:04:12,024:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-28 14:04:54,894:INFO:Initializing load_model()
- 2022-03-28 14:04:54,895:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-31 18:02:20,721:INFO:Initializing load_model()
- 2022-03-31 18:02:20,722:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-03-31 18:02:52,716:INFO:Initializing predict_model()
- 2022-03-31 18:02:52,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-03-31 18:02:52,718:INFO:Checking exceptions
- 2022-03-31 18:02:52,719:INFO:Preloading libraries
- 2022-04-01 10:02:05,111:INFO:Initializing load_model()
- 2022-04-01 10:02:05,112:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-01 15:29:36,450:INFO:Initializing load_model()
- 2022-04-01 15:29:36,452:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-01 15:31:41,826:INFO:Initializing load_model()
- 2022-04-01 15:31:41,827:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-01 15:32:45,464:INFO:Initializing load_model()
- 2022-04-01 15:32:45,465:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-06 15:21:40,127:INFO:PyCaret Supervised Module
- 2022-04-06 15:21:40,128:INFO:ML Usecase: classification
- 2022-04-06 15:21:40,128:INFO:version 2.3.6
- 2022-04-06 15:21:40,129:INFO:Initializing setup()
- 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)
- 2022-04-06 15:21:40,129:INFO:Checking environment
- 2022-04-06 15:21:40,130:INFO:python_version: 3.8.12
- 2022-04-06 15:21:40,130:INFO:python_build: ('default', 'Oct 12 2021 13:49:34')
- 2022-04-06 15:21:40,130:INFO:machine: x86_64
- 2022-04-06 15:21:40,131:INFO:platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 2022-04-06 15:21:40,132:WARNING:cannot find psutil installation. memory not traceable. Install psutil using pip to enable memory logging.
- 2022-04-06 15:21:40,132:INFO:Checking libraries
- 2022-04-06 15:21:40,133:INFO:pd==1.4.0
- 2022-04-06 15:21:40,133:INFO:numpy==1.21.2
- 2022-04-06 15:21:40,134:INFO:sklearn==0.23.2
- 2022-04-06 15:21:40,134:INFO:lightgbm==3.3.2
- 2022-04-06 15:21:40,135:WARNING:catboost not found
- 2022-04-06 15:21:40,348:INFO:xgboost==1.5.2
- 2022-04-06 15:21:41,347:INFO:mlflow==1.24.0
- 2022-04-06 15:21:41,349:INFO:Checking Exceptions
- 2022-04-06 15:21:41,354:INFO:Declaring global variables
- 2022-04-06 15:21:41,355:INFO:USI: 64ec
- 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'}
- 2022-04-06 15:21:41,355:INFO:Preparing display monitor
- 2022-04-06 15:21:41,356:INFO:Preparing display monitor
- 2022-04-06 15:21:41,399:INFO:Importing libraries
- 2022-04-06 15:21:41,400:INFO:Copying data for preprocessing
- 2022-04-06 15:21:41,419:INFO:Declaring preprocessing parameters
- 2022-04-06 15:21:41,446:INFO:Creating preprocessing pipeline
- 2022-04-06 15:21:41,625:INFO:Preprocessing pipeline created successfully
- 2022-04-06 15:21:41,626:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-06 15:21:41,627:INFO:Creating global containers
- 2022-04-06 15:21:41,630:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-06 15:21:45,426:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-06 15:21:45,532:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-06 15:21:45,534:INFO:Creating grid variables
- 2022-04-06 15:21:45,565:INFO:create_model_container: 0
- 2022-04-06 15:21:45,566:INFO:master_model_container: 0
- 2022-04-06 15:21:45,567:INFO:display_container: 1
- 2022-04-06 15:21:45,572:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-06 15:21:45,572:INFO:setup() succesfully completed......................................
- 2022-04-06 15:21:49,040:INFO:Initializing load_model()
- 2022-04-06 15:21:49,046:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-04-06 15:21:53,545:INFO:Initializing predict_model()
- 2022-04-06 15:21:53,546:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 15:21:53,547:INFO:Checking exceptions
- 2022-04-06 15:21:53,547:INFO:Preloading libraries
- 2022-04-06 15:21:53,548:INFO:Preparing display monitor
- 2022-04-06 15:22:37,937:INFO:Initializing get_config()
- 2022-04-06 15:22:37,938:INFO:get_config(variable=prep_pipe)
- 2022-04-06 15:22:37,943:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-06 15:22:37,944:INFO:get_config() succesfully completed......................................
- 2022-04-06 15:22:37,944:INFO:Initializing get_config()
- 2022-04-06 15:22:37,945:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-06 15:22:37,961:INFO:get_config() succesfully completed......................................
- 2022-04-06 15:22:37,967:INFO:Initializing get_config()
- 2022-04-06 15:22:37,967:INFO:get_config(variable=prep_pipe)
- 2022-04-06 15:22:37,972:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-06 15:22:37,973:INFO:get_config() succesfully completed......................................
- 2022-04-06 15:22:38,000:INFO:Initializing save_model()
- 2022-04-06 15:22:38,001:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-06 15:22:38,004:INFO:Adding model into prep_pipe
- 2022-04-06 15:22:38,569:WARNING:Only Model saved as it was a pipeline.
- 2022-04-06 15:22:38,879:INFO:my_api.pkl saved in current working directory
- 2022-04-06 15:22:38,903:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-06 15:22:38,903:INFO:save_model() successfully completed......................................
- 2022-04-06 15:40:28,042:INFO:Initializing load_model()
- 2022-04-06 15:40:28,043:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-06 15:44:15,008:INFO:Initializing predict_model()
- 2022-04-06 15:44:15,009:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 15:44:15,010:INFO:Checking exceptions
- 2022-04-06 15:44:15,010:INFO:Preloading libraries
- 2022-04-06 15:49:04,835:INFO:Initializing load_model()
- 2022-04-06 15:49:04,836:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-06 15:49:32,679:INFO:Initializing predict_model()
- 2022-04-06 15:49:32,686:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 15:49:32,686:INFO:Checking exceptions
- 2022-04-06 15:49:32,687:INFO:Preloading libraries
- 2022-04-06 15:50:04,412:INFO:Initializing predict_model()
- 2022-04-06 15:50:04,413:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 15:50:04,413:INFO:Checking exceptions
- 2022-04-06 15:50:04,413:INFO:Preloading libraries
- 2022-04-06 15:57:35,364:INFO:Initializing predict_model()
- 2022-04-06 15:57:35,367:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 15:57:35,367:INFO:Checking exceptions
- 2022-04-06 15:57:35,368:INFO:Preloading libraries
- 2022-04-06 15:58:42,279:INFO:Initializing predict_model()
- 2022-04-06 15:58:42,279:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 15:58:42,280:INFO:Checking exceptions
- 2022-04-06 15:58:42,280:INFO:Preloading libraries
- 2022-04-06 15:59:47,015:INFO:Initializing predict_model()
- 2022-04-06 15:59:47,016:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 15:59:47,016:INFO:Checking exceptions
- 2022-04-06 15:59:47,017:INFO:Preloading libraries
- 2022-04-06 16:03:40,767:INFO:Initializing predict_model()
- 2022-04-06 16:03:40,768:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:03:40,768:INFO:Checking exceptions
- 2022-04-06 16:03:40,768:INFO:Preloading libraries
- 2022-04-06 16:05:54,236:INFO:Initializing predict_model()
- 2022-04-06 16:05:54,237:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:05:54,237:INFO:Checking exceptions
- 2022-04-06 16:05:54,237:INFO:Preloading libraries
- 2022-04-06 16:19:12,253:INFO:Initializing predict_model()
- 2022-04-06 16:19:12,254:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:19:12,255:INFO:Checking exceptions
- 2022-04-06 16:19:12,255:INFO:Preloading libraries
- 2022-04-06 16:19:42,359:INFO:Initializing predict_model()
- 2022-04-06 16:19:42,360:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:19:42,361:INFO:Checking exceptions
- 2022-04-06 16:19:42,361:INFO:Preloading libraries
- 2022-04-06 16:22:06,274:INFO:Initializing predict_model()
- 2022-04-06 16:22:06,274:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:22:06,275:INFO:Checking exceptions
- 2022-04-06 16:22:06,275:INFO:Preloading libraries
- 2022-04-06 16:22:49,301:INFO:Initializing predict_model()
- 2022-04-06 16:22:49,303:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:22:49,304:INFO:Checking exceptions
- 2022-04-06 16:22:49,307:INFO:Preloading libraries
- 2022-04-06 16:23:18,809:INFO:Initializing predict_model()
- 2022-04-06 16:23:18,810:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:23:18,812:INFO:Checking exceptions
- 2022-04-06 16:23:18,814:INFO:Preloading libraries
- 2022-04-06 16:23:51,072:INFO:Initializing predict_model()
- 2022-04-06 16:23:51,074:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:23:51,076:INFO:Checking exceptions
- 2022-04-06 16:23:51,076:INFO:Preloading libraries
- 2022-04-06 16:26:16,113:INFO:Initializing predict_model()
- 2022-04-06 16:26:16,113:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:26:16,114:INFO:Checking exceptions
- 2022-04-06 16:26:16,114:INFO:Preloading libraries
- 2022-04-06 16:26:47,200:INFO:Initializing predict_model()
- 2022-04-06 16:26:47,201:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:26:47,201:INFO:Checking exceptions
- 2022-04-06 16:26:47,201:INFO:Preloading libraries
- 2022-04-06 16:27:16,444:INFO:Initializing predict_model()
- 2022-04-06 16:27:16,444:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:27:16,445:INFO:Checking exceptions
- 2022-04-06 16:27:16,445:INFO:Preloading libraries
- 2022-04-06 16:27:47,837:INFO:Initializing predict_model()
- 2022-04-06 16:27:47,837:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:27:47,838:INFO:Checking exceptions
- 2022-04-06 16:27:47,838:INFO:Preloading libraries
- 2022-04-06 16:28:17,261:INFO:Initializing predict_model()
- 2022-04-06 16:28:17,261:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:28:17,261:INFO:Checking exceptions
- 2022-04-06 16:28:17,261:INFO:Preloading libraries
- 2022-04-06 16:28:46,584:INFO:Initializing predict_model()
- 2022-04-06 16:28:46,584:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:28:46,585:INFO:Checking exceptions
- 2022-04-06 16:28:46,585:INFO:Preloading libraries
- 2022-04-06 16:29:16,288:INFO:Initializing predict_model()
- 2022-04-06 16:29:16,289:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:29:16,289:INFO:Checking exceptions
- 2022-04-06 16:29:16,289:INFO:Preloading libraries
- 2022-04-06 16:29:52,239:INFO:Initializing predict_model()
- 2022-04-06 16:29:52,240:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:29:52,240:INFO:Checking exceptions
- 2022-04-06 16:29:52,241:INFO:Preloading libraries
- 2022-04-06 16:33:19,486:INFO:Initializing predict_model()
- 2022-04-06 16:33:19,486:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:33:19,487:INFO:Checking exceptions
- 2022-04-06 16:33:19,487:INFO:Preloading libraries
- 2022-04-06 16:33:49,233:INFO:Initializing predict_model()
- 2022-04-06 16:33:49,233:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:33:49,234:INFO:Checking exceptions
- 2022-04-06 16:33:49,234:INFO:Preloading libraries
- 2022-04-06 16:34:16,030:INFO:Initializing predict_model()
- 2022-04-06 16:34:16,030:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:34:16,031:INFO:Checking exceptions
- 2022-04-06 16:34:16,031:INFO:Preloading libraries
- 2022-04-06 16:34:50,719:INFO:Initializing predict_model()
- 2022-04-06 16:34:50,719:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:34:50,719:INFO:Checking exceptions
- 2022-04-06 16:34:50,720:INFO:Preloading libraries
- 2022-04-06 16:35:20,803:INFO:Initializing predict_model()
- 2022-04-06 16:35:20,803:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:35:20,804:INFO:Checking exceptions
- 2022-04-06 16:35:20,804:INFO:Preloading libraries
- 2022-04-06 16:35:53,593:INFO:Initializing predict_model()
- 2022-04-06 16:35:53,594:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:35:53,594:INFO:Checking exceptions
- 2022-04-06 16:35:53,594:INFO:Preloading libraries
- 2022-04-06 16:36:29,830:INFO:Initializing predict_model()
- 2022-04-06 16:36:29,831:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:36:29,831:INFO:Checking exceptions
- 2022-04-06 16:36:29,831:INFO:Preloading libraries
- 2022-04-06 16:37:01,316:INFO:Initializing predict_model()
- 2022-04-06 16:37:01,316:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:37:01,317:INFO:Checking exceptions
- 2022-04-06 16:37:01,317:INFO:Preloading libraries
- 2022-04-06 16:40:00,879:INFO:Initializing predict_model()
- 2022-04-06 16:40:00,879:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:40:00,879:INFO:Checking exceptions
- 2022-04-06 16:40:00,880:INFO:Preloading libraries
- 2022-04-06 16:40:32,729:INFO:Initializing predict_model()
- 2022-04-06 16:40:32,729:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:40:32,729:INFO:Checking exceptions
- 2022-04-06 16:40:32,730:INFO:Preloading libraries
- 2022-04-06 16:41:03,283:INFO:Initializing predict_model()
- 2022-04-06 16:41:03,284:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:41:03,284:INFO:Checking exceptions
- 2022-04-06 16:41:03,284:INFO:Preloading libraries
- 2022-04-06 16:41:31,314:INFO:Initializing predict_model()
- 2022-04-06 16:41:31,314:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:41:31,314:INFO:Checking exceptions
- 2022-04-06 16:41:31,315:INFO:Preloading libraries
- 2022-04-06 16:42:03,769:INFO:Initializing predict_model()
- 2022-04-06 16:42:03,770:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:42:03,770:INFO:Checking exceptions
- 2022-04-06 16:42:03,770:INFO:Preloading libraries
- 2022-04-06 16:42:36,409:INFO:Initializing predict_model()
- 2022-04-06 16:42:36,409:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:42:36,409:INFO:Checking exceptions
- 2022-04-06 16:42:36,410:INFO:Preloading libraries
- 2022-04-06 16:43:06,006:INFO:Initializing predict_model()
- 2022-04-06 16:43:06,007:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:43:06,007:INFO:Checking exceptions
- 2022-04-06 16:43:06,007:INFO:Preloading libraries
- 2022-04-06 16:43:37,742:INFO:Initializing predict_model()
- 2022-04-06 16:43:37,742:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:43:37,742:INFO:Checking exceptions
- 2022-04-06 16:43:37,743:INFO:Preloading libraries
- 2022-04-06 16:44:09,252:INFO:Initializing predict_model()
- 2022-04-06 16:44:09,253:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:44:09,253:INFO:Checking exceptions
- 2022-04-06 16:44:09,253:INFO:Preloading libraries
- 2022-04-06 16:44:43,536:INFO:Initializing predict_model()
- 2022-04-06 16:44:43,536:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:44:43,537:INFO:Checking exceptions
- 2022-04-06 16:44:43,537:INFO:Preloading libraries
- 2022-04-06 16:45:15,624:INFO:Initializing predict_model()
- 2022-04-06 16:45:15,624:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:45:15,624:INFO:Checking exceptions
- 2022-04-06 16:45:15,625:INFO:Preloading libraries
- 2022-04-06 16:45:53,515:INFO:Initializing predict_model()
- 2022-04-06 16:45:53,516:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:45:53,516:INFO:Checking exceptions
- 2022-04-06 16:45:53,516:INFO:Preloading libraries
- 2022-04-06 16:46:43,357:INFO:Initializing predict_model()
- 2022-04-06 16:46:43,363:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:46:43,364:INFO:Checking exceptions
- 2022-04-06 16:46:43,374:INFO:Preloading libraries
- 2022-04-06 16:47:14,755:INFO:Initializing predict_model()
- 2022-04-06 16:47:14,756:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:47:14,756:INFO:Checking exceptions
- 2022-04-06 16:47:14,757:INFO:Preloading libraries
- 2022-04-06 16:47:48,891:INFO:Initializing predict_model()
- 2022-04-06 16:47:48,891:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:47:48,892:INFO:Checking exceptions
- 2022-04-06 16:47:48,892:INFO:Preloading libraries
- 2022-04-06 16:48:21,368:INFO:Initializing predict_model()
- 2022-04-06 16:48:21,369:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:48:21,370:INFO:Checking exceptions
- 2022-04-06 16:48:21,370:INFO:Preloading libraries
- 2022-04-06 16:48:54,059:INFO:Initializing predict_model()
- 2022-04-06 16:48:54,060:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:48:54,060:INFO:Checking exceptions
- 2022-04-06 16:48:54,061:INFO:Preloading libraries
- 2022-04-06 16:49:29,400:INFO:Initializing predict_model()
- 2022-04-06 16:49:29,401:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:49:29,401:INFO:Checking exceptions
- 2022-04-06 16:49:29,401:INFO:Preloading libraries
- 2022-04-06 16:50:02,735:INFO:Initializing predict_model()
- 2022-04-06 16:50:02,736:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:50:02,736:INFO:Checking exceptions
- 2022-04-06 16:50:02,737:INFO:Preloading libraries
- 2022-04-06 16:50:36,834:INFO:Initializing predict_model()
- 2022-04-06 16:50:36,835:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 16:50:36,835:INFO:Checking exceptions
- 2022-04-06 16:50:36,836:INFO:Preloading libraries
- 2022-04-06 17:32:58,286:INFO:Initializing predict_model()
- 2022-04-06 17:32:58,289:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:32:58,289:INFO:Checking exceptions
- 2022-04-06 17:32:58,290:INFO:Preloading libraries
- 2022-04-06 17:33:35,942:INFO:Initializing predict_model()
- 2022-04-06 17:33:35,953:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:33:35,954:INFO:Checking exceptions
- 2022-04-06 17:33:35,954:INFO:Preloading libraries
- 2022-04-06 17:34:07,147:INFO:Initializing predict_model()
- 2022-04-06 17:34:07,148:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:34:07,149:INFO:Checking exceptions
- 2022-04-06 17:34:07,149:INFO:Preloading libraries
- 2022-04-06 17:34:43,124:INFO:Initializing predict_model()
- 2022-04-06 17:34:43,125:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:34:43,125:INFO:Checking exceptions
- 2022-04-06 17:34:43,125:INFO:Preloading libraries
- 2022-04-06 17:35:15,655:INFO:Initializing predict_model()
- 2022-04-06 17:35:15,655:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:35:15,656:INFO:Checking exceptions
- 2022-04-06 17:35:15,656:INFO:Preloading libraries
- 2022-04-06 17:35:50,579:INFO:Initializing predict_model()
- 2022-04-06 17:35:50,580:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:35:50,580:INFO:Checking exceptions
- 2022-04-06 17:35:50,581:INFO:Preloading libraries
- 2022-04-06 17:36:22,832:INFO:Initializing predict_model()
- 2022-04-06 17:36:22,833:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:36:22,833:INFO:Checking exceptions
- 2022-04-06 17:36:22,833:INFO:Preloading libraries
- 2022-04-06 17:36:53,692:INFO:Initializing predict_model()
- 2022-04-06 17:36:53,692:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:36:53,693:INFO:Checking exceptions
- 2022-04-06 17:36:53,693:INFO:Preloading libraries
- 2022-04-06 17:37:22,575:INFO:Initializing predict_model()
- 2022-04-06 17:37:22,576:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:37:22,576:INFO:Checking exceptions
- 2022-04-06 17:37:22,576:INFO:Preloading libraries
- 2022-04-06 17:37:54,670:INFO:Initializing predict_model()
- 2022-04-06 17:37:54,671:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:37:54,672:INFO:Checking exceptions
- 2022-04-06 17:37:54,672:INFO:Preloading libraries
- 2022-04-06 17:38:28,535:INFO:Initializing predict_model()
- 2022-04-06 17:38:28,536:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:38:28,537:INFO:Checking exceptions
- 2022-04-06 17:38:28,537:INFO:Preloading libraries
- 2022-04-06 17:39:01,896:INFO:Initializing predict_model()
- 2022-04-06 17:39:01,896:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:39:01,897:INFO:Checking exceptions
- 2022-04-06 17:39:01,897:INFO:Preloading libraries
- 2022-04-06 17:39:35,564:INFO:Initializing predict_model()
- 2022-04-06 17:39:35,567:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:39:35,567:INFO:Checking exceptions
- 2022-04-06 17:39:35,567:INFO:Preloading libraries
- 2022-04-06 17:40:05,645:INFO:Initializing predict_model()
- 2022-04-06 17:40:05,647:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:40:05,651:INFO:Checking exceptions
- 2022-04-06 17:40:05,651:INFO:Preloading libraries
- 2022-04-06 17:40:35,366:INFO:Initializing predict_model()
- 2022-04-06 17:40:35,367:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:40:35,368:INFO:Checking exceptions
- 2022-04-06 17:40:35,368:INFO:Preloading libraries
- 2022-04-06 17:41:03,899:INFO:Initializing predict_model()
- 2022-04-06 17:41:03,900:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:41:03,900:INFO:Checking exceptions
- 2022-04-06 17:41:03,901:INFO:Preloading libraries
- 2022-04-06 17:41:36,234:INFO:Initializing predict_model()
- 2022-04-06 17:41:36,234:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:41:36,235:INFO:Checking exceptions
- 2022-04-06 17:41:36,236:INFO:Preloading libraries
- 2022-04-06 17:42:09,522:INFO:Initializing predict_model()
- 2022-04-06 17:42:09,524:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:42:09,525:INFO:Checking exceptions
- 2022-04-06 17:42:09,525:INFO:Preloading libraries
- 2022-04-06 17:42:40,866:INFO:Initializing predict_model()
- 2022-04-06 17:42:40,867:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:42:40,867:INFO:Checking exceptions
- 2022-04-06 17:42:40,867:INFO:Preloading libraries
- 2022-04-06 17:43:13,369:INFO:Initializing predict_model()
- 2022-04-06 17:43:13,370:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-06 17:43:13,370:INFO:Checking exceptions
- 2022-04-06 17:43:13,370:INFO:Preloading libraries
- 2022-04-06 23:56:48,946:INFO:Initializing load_model()
- 2022-04-06 23:56:48,947:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 00:12:29,024:INFO:Initializing predict_model()
- 2022-04-07 00:12:29,027:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:29,027:INFO:Checking exceptions
- 2022-04-07 00:12:29,028:INFO:Preloading libraries
- 2022-04-07 00:12:29,192:INFO:Initializing predict_model()
- 2022-04-07 00:12:29,193:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:29,193:INFO:Checking exceptions
- 2022-04-07 00:12:29,193:INFO:Preloading libraries
- 2022-04-07 00:12:29,360:INFO:Initializing predict_model()
- 2022-04-07 00:12:29,361:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:29,361:INFO:Checking exceptions
- 2022-04-07 00:12:29,361:INFO:Preloading libraries
- 2022-04-07 00:12:29,527:INFO:Initializing predict_model()
- 2022-04-07 00:12:29,530:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:29,532:INFO:Checking exceptions
- 2022-04-07 00:12:29,533:INFO:Preloading libraries
- 2022-04-07 00:12:29,696:INFO:Initializing predict_model()
- 2022-04-07 00:12:29,697:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:29,697:INFO:Checking exceptions
- 2022-04-07 00:12:29,697:INFO:Preloading libraries
- 2022-04-07 00:12:29,866:INFO:Initializing predict_model()
- 2022-04-07 00:12:29,867:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:29,867:INFO:Checking exceptions
- 2022-04-07 00:12:29,867:INFO:Preloading libraries
- 2022-04-07 00:12:30,042:INFO:Initializing predict_model()
- 2022-04-07 00:12:30,043:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:30,044:INFO:Checking exceptions
- 2022-04-07 00:12:30,044:INFO:Preloading libraries
- 2022-04-07 00:12:30,237:INFO:Initializing predict_model()
- 2022-04-07 00:12:30,238:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:30,238:INFO:Checking exceptions
- 2022-04-07 00:12:30,239:INFO:Preloading libraries
- 2022-04-07 00:12:30,443:INFO:Initializing predict_model()
- 2022-04-07 00:12:30,444:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:30,444:INFO:Checking exceptions
- 2022-04-07 00:12:30,445:INFO:Preloading libraries
- 2022-04-07 00:12:30,704:INFO:Initializing predict_model()
- 2022-04-07 00:12:30,705:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:30,705:INFO:Checking exceptions
- 2022-04-07 00:12:30,705:INFO:Preloading libraries
- 2022-04-07 00:12:30,909:INFO:Initializing predict_model()
- 2022-04-07 00:12:30,911:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:30,911:INFO:Checking exceptions
- 2022-04-07 00:12:30,911:INFO:Preloading libraries
- 2022-04-07 00:12:31,072:INFO:Initializing predict_model()
- 2022-04-07 00:12:31,073:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:31,073:INFO:Checking exceptions
- 2022-04-07 00:12:31,073:INFO:Preloading libraries
- 2022-04-07 00:12:31,242:INFO:Initializing predict_model()
- 2022-04-07 00:12:31,243:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:31,244:INFO:Checking exceptions
- 2022-04-07 00:12:31,244:INFO:Preloading libraries
- 2022-04-07 00:12:31,408:INFO:Initializing predict_model()
- 2022-04-07 00:12:31,409:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:31,409:INFO:Checking exceptions
- 2022-04-07 00:12:31,410:INFO:Preloading libraries
- 2022-04-07 00:12:31,576:INFO:Initializing predict_model()
- 2022-04-07 00:12:31,576:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:31,577:INFO:Checking exceptions
- 2022-04-07 00:12:31,577:INFO:Preloading libraries
- 2022-04-07 00:12:31,750:INFO:Initializing predict_model()
- 2022-04-07 00:12:31,751:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:31,751:INFO:Checking exceptions
- 2022-04-07 00:12:31,752:INFO:Preloading libraries
- 2022-04-07 00:12:31,914:INFO:Initializing predict_model()
- 2022-04-07 00:12:31,915:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:31,915:INFO:Checking exceptions
- 2022-04-07 00:12:31,916:INFO:Preloading libraries
- 2022-04-07 00:12:32,081:INFO:Initializing predict_model()
- 2022-04-07 00:12:32,088:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:32,089:INFO:Checking exceptions
- 2022-04-07 00:12:32,089:INFO:Preloading libraries
- 2022-04-07 00:12:32,260:INFO:Initializing predict_model()
- 2022-04-07 00:12:32,261:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:32,261:INFO:Checking exceptions
- 2022-04-07 00:12:32,262:INFO:Preloading libraries
- 2022-04-07 00:12:32,426:INFO:Initializing predict_model()
- 2022-04-07 00:12:32,427:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:12:32,428:INFO:Checking exceptions
- 2022-04-07 00:12:32,428:INFO:Preloading libraries
- 2022-04-07 00:13:42,318:INFO:Initializing predict_model()
- 2022-04-07 00:13:42,319:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:42,319:INFO:Checking exceptions
- 2022-04-07 00:13:42,320:INFO:Preloading libraries
- 2022-04-07 00:13:42,551:INFO:Initializing predict_model()
- 2022-04-07 00:13:42,552:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:42,552:INFO:Checking exceptions
- 2022-04-07 00:13:42,552:INFO:Preloading libraries
- 2022-04-07 00:13:42,772:INFO:Initializing predict_model()
- 2022-04-07 00:13:42,772:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:42,773:INFO:Checking exceptions
- 2022-04-07 00:13:42,773:INFO:Preloading libraries
- 2022-04-07 00:13:42,927:INFO:Initializing predict_model()
- 2022-04-07 00:13:42,928:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:42,929:INFO:Checking exceptions
- 2022-04-07 00:13:42,929:INFO:Preloading libraries
- 2022-04-07 00:13:43,078:INFO:Initializing predict_model()
- 2022-04-07 00:13:43,079:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:43,079:INFO:Checking exceptions
- 2022-04-07 00:13:43,080:INFO:Preloading libraries
- 2022-04-07 00:13:43,234:INFO:Initializing predict_model()
- 2022-04-07 00:13:43,234:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:43,235:INFO:Checking exceptions
- 2022-04-07 00:13:43,235:INFO:Preloading libraries
- 2022-04-07 00:13:43,390:INFO:Initializing predict_model()
- 2022-04-07 00:13:43,391:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:43,391:INFO:Checking exceptions
- 2022-04-07 00:13:43,392:INFO:Preloading libraries
- 2022-04-07 00:13:43,562:INFO:Initializing predict_model()
- 2022-04-07 00:13:43,563:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:43,564:INFO:Checking exceptions
- 2022-04-07 00:13:43,564:INFO:Preloading libraries
- 2022-04-07 00:13:43,725:INFO:Initializing predict_model()
- 2022-04-07 00:13:43,726:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:43,726:INFO:Checking exceptions
- 2022-04-07 00:13:43,726:INFO:Preloading libraries
- 2022-04-07 00:13:43,879:INFO:Initializing predict_model()
- 2022-04-07 00:13:43,879:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:43,880:INFO:Checking exceptions
- 2022-04-07 00:13:43,880:INFO:Preloading libraries
- 2022-04-07 00:13:44,060:INFO:Initializing predict_model()
- 2022-04-07 00:13:44,061:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:44,061:INFO:Checking exceptions
- 2022-04-07 00:13:44,062:INFO:Preloading libraries
- 2022-04-07 00:13:44,246:INFO:Initializing predict_model()
- 2022-04-07 00:13:44,247:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:44,247:INFO:Checking exceptions
- 2022-04-07 00:13:44,248:INFO:Preloading libraries
- 2022-04-07 00:13:44,423:INFO:Initializing predict_model()
- 2022-04-07 00:13:44,424:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:44,424:INFO:Checking exceptions
- 2022-04-07 00:13:44,425:INFO:Preloading libraries
- 2022-04-07 00:13:44,616:INFO:Initializing predict_model()
- 2022-04-07 00:13:44,617:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:44,617:INFO:Checking exceptions
- 2022-04-07 00:13:44,617:INFO:Preloading libraries
- 2022-04-07 00:13:44,789:INFO:Initializing predict_model()
- 2022-04-07 00:13:44,790:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:44,790:INFO:Checking exceptions
- 2022-04-07 00:13:44,791:INFO:Preloading libraries
- 2022-04-07 00:13:44,964:INFO:Initializing predict_model()
- 2022-04-07 00:13:44,965:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:44,965:INFO:Checking exceptions
- 2022-04-07 00:13:44,965:INFO:Preloading libraries
- 2022-04-07 00:13:45,144:INFO:Initializing predict_model()
- 2022-04-07 00:13:45,144:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:45,145:INFO:Checking exceptions
- 2022-04-07 00:13:45,145:INFO:Preloading libraries
- 2022-04-07 00:13:45,315:INFO:Initializing predict_model()
- 2022-04-07 00:13:45,316:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:45,316:INFO:Checking exceptions
- 2022-04-07 00:13:45,316:INFO:Preloading libraries
- 2022-04-07 00:13:45,485:INFO:Initializing predict_model()
- 2022-04-07 00:13:45,485:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:45,486:INFO:Checking exceptions
- 2022-04-07 00:13:45,486:INFO:Preloading libraries
- 2022-04-07 00:13:45,672:INFO:Initializing predict_model()
- 2022-04-07 00:13:45,673:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:13:45,673:INFO:Checking exceptions
- 2022-04-07 00:13:45,674:INFO:Preloading libraries
- 2022-04-07 00:23:38,555:INFO:Initializing predict_model()
- 2022-04-07 00:23:38,555:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:38,556:INFO:Checking exceptions
- 2022-04-07 00:23:38,556:INFO:Preloading libraries
- 2022-04-07 00:23:39,461:INFO:Initializing predict_model()
- 2022-04-07 00:23:39,462:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:39,462:INFO:Checking exceptions
- 2022-04-07 00:23:39,462:INFO:Preloading libraries
- 2022-04-07 00:23:40,126:INFO:Initializing predict_model()
- 2022-04-07 00:23:40,127:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:40,127:INFO:Checking exceptions
- 2022-04-07 00:23:40,128:INFO:Preloading libraries
- 2022-04-07 00:23:40,776:INFO:Initializing predict_model()
- 2022-04-07 00:23:40,776:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:40,777:INFO:Checking exceptions
- 2022-04-07 00:23:40,777:INFO:Preloading libraries
- 2022-04-07 00:23:41,401:INFO:Initializing predict_model()
- 2022-04-07 00:23:41,401:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:41,402:INFO:Checking exceptions
- 2022-04-07 00:23:41,402:INFO:Preloading libraries
- 2022-04-07 00:23:42,004:INFO:Initializing predict_model()
- 2022-04-07 00:23:42,015:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:42,017:INFO:Checking exceptions
- 2022-04-07 00:23:42,020:INFO:Preloading libraries
- 2022-04-07 00:23:42,624:INFO:Initializing predict_model()
- 2022-04-07 00:23:42,625:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:42,625:INFO:Checking exceptions
- 2022-04-07 00:23:42,625:INFO:Preloading libraries
- 2022-04-07 00:23:43,337:INFO:Initializing predict_model()
- 2022-04-07 00:23:43,338:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:43,338:INFO:Checking exceptions
- 2022-04-07 00:23:43,339:INFO:Preloading libraries
- 2022-04-07 00:23:44,020:INFO:Initializing predict_model()
- 2022-04-07 00:23:44,021:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:44,021:INFO:Checking exceptions
- 2022-04-07 00:23:44,021:INFO:Preloading libraries
- 2022-04-07 00:23:44,670:INFO:Initializing predict_model()
- 2022-04-07 00:23:44,671:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:44,671:INFO:Checking exceptions
- 2022-04-07 00:23:44,672:INFO:Preloading libraries
- 2022-04-07 00:23:45,240:INFO:Initializing predict_model()
- 2022-04-07 00:23:45,249:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:45,250:INFO:Checking exceptions
- 2022-04-07 00:23:45,250:INFO:Preloading libraries
- 2022-04-07 00:23:45,844:INFO:Initializing predict_model()
- 2022-04-07 00:23:45,845:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:45,845:INFO:Checking exceptions
- 2022-04-07 00:23:45,846:INFO:Preloading libraries
- 2022-04-07 00:23:46,543:INFO:Initializing predict_model()
- 2022-04-07 00:23:46,545:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:46,547:INFO:Checking exceptions
- 2022-04-07 00:23:46,549:INFO:Preloading libraries
- 2022-04-07 00:23:47,003:INFO:Initializing predict_model()
- 2022-04-07 00:23:47,004:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:47,007:INFO:Checking exceptions
- 2022-04-07 00:23:47,009:INFO:Preloading libraries
- 2022-04-07 00:23:47,643:INFO:Initializing predict_model()
- 2022-04-07 00:23:47,644:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:47,644:INFO:Checking exceptions
- 2022-04-07 00:23:47,644:INFO:Preloading libraries
- 2022-04-07 00:23:48,279:INFO:Initializing predict_model()
- 2022-04-07 00:23:48,281:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:48,281:INFO:Checking exceptions
- 2022-04-07 00:23:48,281:INFO:Preloading libraries
- 2022-04-07 00:23:49,000:INFO:Initializing predict_model()
- 2022-04-07 00:23:49,001:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:49,001:INFO:Checking exceptions
- 2022-04-07 00:23:49,002:INFO:Preloading libraries
- 2022-04-07 00:23:49,652:INFO:Initializing predict_model()
- 2022-04-07 00:23:49,653:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:49,653:INFO:Checking exceptions
- 2022-04-07 00:23:49,653:INFO:Preloading libraries
- 2022-04-07 00:23:50,274:INFO:Initializing predict_model()
- 2022-04-07 00:23:50,275:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:50,276:INFO:Checking exceptions
- 2022-04-07 00:23:50,276:INFO:Preloading libraries
- 2022-04-07 00:23:50,978:INFO:Initializing predict_model()
- 2022-04-07 00:23:50,981:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:23:50,982:INFO:Checking exceptions
- 2022-04-07 00:23:50,987:INFO:Preloading libraries
- 2022-04-07 00:30:03,379:INFO:Initializing predict_model()
- 2022-04-07 00:30:03,380:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:03,380:INFO:Checking exceptions
- 2022-04-07 00:30:03,381:INFO:Preloading libraries
- 2022-04-07 00:30:04,059:INFO:Initializing predict_model()
- 2022-04-07 00:30:04,060:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:04,060:INFO:Checking exceptions
- 2022-04-07 00:30:04,060:INFO:Preloading libraries
- 2022-04-07 00:30:04,889:INFO:Initializing predict_model()
- 2022-04-07 00:30:04,890:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:04,890:INFO:Checking exceptions
- 2022-04-07 00:30:04,891:INFO:Preloading libraries
- 2022-04-07 00:30:05,551:INFO:Initializing predict_model()
- 2022-04-07 00:30:05,552:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:05,552:INFO:Checking exceptions
- 2022-04-07 00:30:05,552:INFO:Preloading libraries
- 2022-04-07 00:30:06,140:INFO:Initializing predict_model()
- 2022-04-07 00:30:06,141:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:06,141:INFO:Checking exceptions
- 2022-04-07 00:30:06,142:INFO:Preloading libraries
- 2022-04-07 00:30:06,889:INFO:Initializing predict_model()
- 2022-04-07 00:30:06,890:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:06,890:INFO:Checking exceptions
- 2022-04-07 00:30:06,891:INFO:Preloading libraries
- 2022-04-07 00:30:07,505:INFO:Initializing predict_model()
- 2022-04-07 00:30:07,505:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:07,506:INFO:Checking exceptions
- 2022-04-07 00:30:07,506:INFO:Preloading libraries
- 2022-04-07 00:30:08,151:INFO:Initializing predict_model()
- 2022-04-07 00:30:08,152:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:08,153:INFO:Checking exceptions
- 2022-04-07 00:30:08,153:INFO:Preloading libraries
- 2022-04-07 00:30:08,855:INFO:Initializing predict_model()
- 2022-04-07 00:30:08,856:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:08,856:INFO:Checking exceptions
- 2022-04-07 00:30:08,857:INFO:Preloading libraries
- 2022-04-07 00:30:09,550:INFO:Initializing predict_model()
- 2022-04-07 00:30:09,551:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:09,551:INFO:Checking exceptions
- 2022-04-07 00:30:09,552:INFO:Preloading libraries
- 2022-04-07 00:30:10,174:INFO:Initializing predict_model()
- 2022-04-07 00:30:10,174:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:10,175:INFO:Checking exceptions
- 2022-04-07 00:30:10,175:INFO:Preloading libraries
- 2022-04-07 00:30:10,956:INFO:Initializing predict_model()
- 2022-04-07 00:30:10,957:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:10,957:INFO:Checking exceptions
- 2022-04-07 00:30:10,958:INFO:Preloading libraries
- 2022-04-07 00:30:11,547:INFO:Initializing predict_model()
- 2022-04-07 00:30:11,548:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:11,549:INFO:Checking exceptions
- 2022-04-07 00:30:11,549:INFO:Preloading libraries
- 2022-04-07 00:30:12,143:INFO:Initializing predict_model()
- 2022-04-07 00:30:12,144:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:12,144:INFO:Checking exceptions
- 2022-04-07 00:30:12,145:INFO:Preloading libraries
- 2022-04-07 00:30:12,745:INFO:Initializing predict_model()
- 2022-04-07 00:30:12,746:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:12,746:INFO:Checking exceptions
- 2022-04-07 00:30:12,747:INFO:Preloading libraries
- 2022-04-07 00:30:13,399:INFO:Initializing predict_model()
- 2022-04-07 00:30:13,401:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:13,402:INFO:Checking exceptions
- 2022-04-07 00:30:13,402:INFO:Preloading libraries
- 2022-04-07 00:30:13,983:INFO:Initializing predict_model()
- 2022-04-07 00:30:13,983:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:13,984:INFO:Checking exceptions
- 2022-04-07 00:30:13,984:INFO:Preloading libraries
- 2022-04-07 00:30:14,551:INFO:Initializing predict_model()
- 2022-04-07 00:30:14,551:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:14,552:INFO:Checking exceptions
- 2022-04-07 00:30:14,552:INFO:Preloading libraries
- 2022-04-07 00:30:15,090:INFO:Initializing predict_model()
- 2022-04-07 00:30:15,093:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:15,094:INFO:Checking exceptions
- 2022-04-07 00:30:15,097:INFO:Preloading libraries
- 2022-04-07 00:30:15,684:INFO:Initializing predict_model()
- 2022-04-07 00:30:15,685:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:30:15,685:INFO:Checking exceptions
- 2022-04-07 00:30:15,685:INFO:Preloading libraries
- 2022-04-07 00:31:11,722:INFO:Initializing predict_model()
- 2022-04-07 00:31:11,723:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:11,723:INFO:Checking exceptions
- 2022-04-07 00:31:11,724:INFO:Preloading libraries
- 2022-04-07 00:31:12,472:INFO:Initializing predict_model()
- 2022-04-07 00:31:12,474:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:12,476:INFO:Checking exceptions
- 2022-04-07 00:31:12,479:INFO:Preloading libraries
- 2022-04-07 00:31:13,126:INFO:Initializing predict_model()
- 2022-04-07 00:31:13,129:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:13,132:INFO:Checking exceptions
- 2022-04-07 00:31:13,134:INFO:Preloading libraries
- 2022-04-07 00:31:13,739:INFO:Initializing predict_model()
- 2022-04-07 00:31:13,740:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:13,740:INFO:Checking exceptions
- 2022-04-07 00:31:13,741:INFO:Preloading libraries
- 2022-04-07 00:31:14,389:INFO:Initializing predict_model()
- 2022-04-07 00:31:14,389:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:14,390:INFO:Checking exceptions
- 2022-04-07 00:31:14,390:INFO:Preloading libraries
- 2022-04-07 00:31:15,068:INFO:Initializing predict_model()
- 2022-04-07 00:31:15,068:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:15,069:INFO:Checking exceptions
- 2022-04-07 00:31:15,069:INFO:Preloading libraries
- 2022-04-07 00:31:15,729:INFO:Initializing predict_model()
- 2022-04-07 00:31:15,730:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:15,736:INFO:Checking exceptions
- 2022-04-07 00:31:15,737:INFO:Preloading libraries
- 2022-04-07 00:31:16,323:INFO:Initializing predict_model()
- 2022-04-07 00:31:16,324:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:16,325:INFO:Checking exceptions
- 2022-04-07 00:31:16,325:INFO:Preloading libraries
- 2022-04-07 00:31:16,962:INFO:Initializing predict_model()
- 2022-04-07 00:31:16,965:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:16,970:INFO:Checking exceptions
- 2022-04-07 00:31:16,971:INFO:Preloading libraries
- 2022-04-07 00:31:17,663:INFO:Initializing predict_model()
- 2022-04-07 00:31:17,664:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:17,670:INFO:Checking exceptions
- 2022-04-07 00:31:17,671:INFO:Preloading libraries
- 2022-04-07 00:31:18,254:INFO:Initializing predict_model()
- 2022-04-07 00:31:18,255:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:18,255:INFO:Checking exceptions
- 2022-04-07 00:31:18,256:INFO:Preloading libraries
- 2022-04-07 00:31:18,802:INFO:Initializing predict_model()
- 2022-04-07 00:31:18,803:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:18,804:INFO:Checking exceptions
- 2022-04-07 00:31:18,804:INFO:Preloading libraries
- 2022-04-07 00:31:19,384:INFO:Initializing predict_model()
- 2022-04-07 00:31:19,385:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:19,385:INFO:Checking exceptions
- 2022-04-07 00:31:19,385:INFO:Preloading libraries
- 2022-04-07 00:31:19,989:INFO:Initializing predict_model()
- 2022-04-07 00:31:19,990:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:19,990:INFO:Checking exceptions
- 2022-04-07 00:31:19,991:INFO:Preloading libraries
- 2022-04-07 00:31:20,521:INFO:Initializing predict_model()
- 2022-04-07 00:31:20,524:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:20,525:INFO:Checking exceptions
- 2022-04-07 00:31:20,527:INFO:Preloading libraries
- 2022-04-07 00:31:21,093:INFO:Initializing predict_model()
- 2022-04-07 00:31:21,094:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:21,095:INFO:Checking exceptions
- 2022-04-07 00:31:21,095:INFO:Preloading libraries
- 2022-04-07 00:31:21,792:INFO:Initializing predict_model()
- 2022-04-07 00:31:21,793:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:21,796:INFO:Checking exceptions
- 2022-04-07 00:31:21,799:INFO:Preloading libraries
- 2022-04-07 00:31:22,351:INFO:Initializing predict_model()
- 2022-04-07 00:31:22,351:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:22,352:INFO:Checking exceptions
- 2022-04-07 00:31:22,352:INFO:Preloading libraries
- 2022-04-07 00:31:22,970:INFO:Initializing predict_model()
- 2022-04-07 00:31:22,971:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:22,971:INFO:Checking exceptions
- 2022-04-07 00:31:22,971:INFO:Preloading libraries
- 2022-04-07 00:31:23,646:INFO:Initializing predict_model()
- 2022-04-07 00:31:23,647:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:23,649:INFO:Checking exceptions
- 2022-04-07 00:31:23,652:INFO:Preloading libraries
- 2022-04-07 00:31:55,525:INFO:Initializing predict_model()
- 2022-04-07 00:31:55,526:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:55,526:INFO:Checking exceptions
- 2022-04-07 00:31:55,527:INFO:Preloading libraries
- 2022-04-07 00:31:56,078:INFO:Initializing predict_model()
- 2022-04-07 00:31:56,079:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:56,079:INFO:Checking exceptions
- 2022-04-07 00:31:56,079:INFO:Preloading libraries
- 2022-04-07 00:31:56,622:INFO:Initializing predict_model()
- 2022-04-07 00:31:56,623:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:56,623:INFO:Checking exceptions
- 2022-04-07 00:31:56,623:INFO:Preloading libraries
- 2022-04-07 00:31:57,188:INFO:Initializing predict_model()
- 2022-04-07 00:31:57,189:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:57,189:INFO:Checking exceptions
- 2022-04-07 00:31:57,190:INFO:Preloading libraries
- 2022-04-07 00:31:57,761:INFO:Initializing predict_model()
- 2022-04-07 00:31:57,762:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:57,762:INFO:Checking exceptions
- 2022-04-07 00:31:57,762:INFO:Preloading libraries
- 2022-04-07 00:31:58,322:INFO:Initializing predict_model()
- 2022-04-07 00:31:58,323:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:58,323:INFO:Checking exceptions
- 2022-04-07 00:31:58,323:INFO:Preloading libraries
- 2022-04-07 00:31:58,924:INFO:Initializing predict_model()
- 2022-04-07 00:31:58,925:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:58,926:INFO:Checking exceptions
- 2022-04-07 00:31:58,927:INFO:Preloading libraries
- 2022-04-07 00:31:59,486:INFO:Initializing predict_model()
- 2022-04-07 00:31:59,492:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:31:59,495:INFO:Checking exceptions
- 2022-04-07 00:31:59,495:INFO:Preloading libraries
- 2022-04-07 00:32:00,084:INFO:Initializing predict_model()
- 2022-04-07 00:32:00,087:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:00,093:INFO:Checking exceptions
- 2022-04-07 00:32:00,094:INFO:Preloading libraries
- 2022-04-07 00:32:00,640:INFO:Initializing predict_model()
- 2022-04-07 00:32:00,641:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:00,642:INFO:Checking exceptions
- 2022-04-07 00:32:00,642:INFO:Preloading libraries
- 2022-04-07 00:32:51,428:INFO:Initializing predict_model()
- 2022-04-07 00:32:51,431:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:51,432:INFO:Checking exceptions
- 2022-04-07 00:32:51,433:INFO:Preloading libraries
- 2022-04-07 00:32:52,029:INFO:Initializing predict_model()
- 2022-04-07 00:32:52,030:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:52,030:INFO:Checking exceptions
- 2022-04-07 00:32:52,030:INFO:Preloading libraries
- 2022-04-07 00:32:52,658:INFO:Initializing predict_model()
- 2022-04-07 00:32:52,658:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:52,659:INFO:Checking exceptions
- 2022-04-07 00:32:52,659:INFO:Preloading libraries
- 2022-04-07 00:32:53,254:INFO:Initializing predict_model()
- 2022-04-07 00:32:53,255:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:53,255:INFO:Checking exceptions
- 2022-04-07 00:32:53,256:INFO:Preloading libraries
- 2022-04-07 00:32:53,795:INFO:Initializing predict_model()
- 2022-04-07 00:32:53,795:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:53,796:INFO:Checking exceptions
- 2022-04-07 00:32:53,796:INFO:Preloading libraries
- 2022-04-07 00:32:54,394:INFO:Initializing predict_model()
- 2022-04-07 00:32:54,395:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:54,395:INFO:Checking exceptions
- 2022-04-07 00:32:54,395:INFO:Preloading libraries
- 2022-04-07 00:32:54,954:INFO:Initializing predict_model()
- 2022-04-07 00:32:54,955:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:54,955:INFO:Checking exceptions
- 2022-04-07 00:32:54,956:INFO:Preloading libraries
- 2022-04-07 00:32:55,531:INFO:Initializing predict_model()
- 2022-04-07 00:32:55,532:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:55,532:INFO:Checking exceptions
- 2022-04-07 00:32:55,532:INFO:Preloading libraries
- 2022-04-07 00:32:56,257:INFO:Initializing predict_model()
- 2022-04-07 00:32:56,258:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:56,258:INFO:Checking exceptions
- 2022-04-07 00:32:56,259:INFO:Preloading libraries
- 2022-04-07 00:32:56,817:INFO:Initializing predict_model()
- 2022-04-07 00:32:56,818:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:32:56,819:INFO:Checking exceptions
- 2022-04-07 00:32:56,819:INFO:Preloading libraries
- 2022-04-07 00:35:02,125:INFO:Initializing predict_model()
- 2022-04-07 00:35:02,126:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:02,126:INFO:Checking exceptions
- 2022-04-07 00:35:02,126:INFO:Preloading libraries
- 2022-04-07 00:35:02,677:INFO:Initializing predict_model()
- 2022-04-07 00:35:02,678:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:02,679:INFO:Checking exceptions
- 2022-04-07 00:35:02,679:INFO:Preloading libraries
- 2022-04-07 00:35:03,270:INFO:Initializing predict_model()
- 2022-04-07 00:35:03,270:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:03,271:INFO:Checking exceptions
- 2022-04-07 00:35:03,271:INFO:Preloading libraries
- 2022-04-07 00:35:03,891:INFO:Initializing predict_model()
- 2022-04-07 00:35:03,892:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:03,892:INFO:Checking exceptions
- 2022-04-07 00:35:03,892:INFO:Preloading libraries
- 2022-04-07 00:35:04,533:INFO:Initializing predict_model()
- 2022-04-07 00:35:04,534:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:04,535:INFO:Checking exceptions
- 2022-04-07 00:35:04,538:INFO:Preloading libraries
- 2022-04-07 00:35:05,265:INFO:Initializing predict_model()
- 2022-04-07 00:35:05,265:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:05,266:INFO:Checking exceptions
- 2022-04-07 00:35:05,266:INFO:Preloading libraries
- 2022-04-07 00:35:05,994:INFO:Initializing predict_model()
- 2022-04-07 00:35:05,997:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:05,998:INFO:Checking exceptions
- 2022-04-07 00:35:05,999:INFO:Preloading libraries
- 2022-04-07 00:35:06,677:INFO:Initializing predict_model()
- 2022-04-07 00:35:06,683:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:06,686:INFO:Checking exceptions
- 2022-04-07 00:35:06,687:INFO:Preloading libraries
- 2022-04-07 00:35:07,335:INFO:Initializing predict_model()
- 2022-04-07 00:35:07,335:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:07,336:INFO:Checking exceptions
- 2022-04-07 00:35:07,336:INFO:Preloading libraries
- 2022-04-07 00:35:08,136:INFO:Initializing predict_model()
- 2022-04-07 00:35:08,139:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 00:35:08,140:INFO:Checking exceptions
- 2022-04-07 00:35:08,141:INFO:Preloading libraries
- 2022-04-07 11:43:43,767:INFO:Initializing load_model()
- 2022-04-07 11:43:43,768:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 11:46:36,395:INFO:Initializing load_model()
- 2022-04-07 11:46:36,395:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:14:09,498:INFO:PyCaret Supervised Module
- 2022-04-07 13:14:09,499:INFO:ML Usecase: classification
- 2022-04-07 13:14:09,499:INFO:version 2.3.9
- 2022-04-07 13:14:09,499:INFO:Initializing setup()
- 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)
- 2022-04-07 13:14:09,500:INFO:Checking environment
- 2022-04-07 13:14:09,500:INFO:python_version: 3.8.13
- 2022-04-07 13:14:09,500:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-07 13:14:09,500:INFO:machine: x86_64
- 2022-04-07 13:14:09,500:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-07 13:14:09,502:INFO:Physical Core: 16
- 2022-04-07 13:14:09,502:INFO:Logical Core: 32
- 2022-04-07 13:14:09,502:INFO:Checking libraries
- 2022-04-07 13:14:09,502:INFO:pd==1.4.2
- 2022-04-07 13:14:09,502:INFO:numpy==1.19.5
- 2022-04-07 13:14:09,503:INFO:sklearn==0.23.2
- 2022-04-07 13:14:09,503:INFO:lightgbm==3.3.2
- 2022-04-07 13:14:09,503:WARNING:catboost not found
- 2022-04-07 13:14:09,527:INFO:xgboost==1.5.2
- 2022-04-07 13:14:09,527:INFO:mlflow==1.24.0
- 2022-04-07 13:14:09,527:INFO:Checking Exceptions
- 2022-04-07 13:14:09,528:INFO:Declaring global variables
- 2022-04-07 13:14:09,528:INFO:USI: 5d60
- 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'}
- 2022-04-07 13:14:09,528:INFO:Preparing display monitor
- 2022-04-07 13:14:09,528:INFO:Preparing display monitor
- 2022-04-07 13:14:09,536:INFO:Importing libraries
- 2022-04-07 13:14:09,537:INFO:Copying data for preprocessing
- 2022-04-07 13:14:09,542:INFO:Declaring preprocessing parameters
- 2022-04-07 13:14:09,545:INFO:Creating preprocessing pipeline
- 2022-04-07 13:14:09,576:INFO:Preprocessing pipeline created successfully
- 2022-04-07 13:14:09,577:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 13:14:09,577:INFO:Creating global containers
- 2022-04-07 13:14:09,578:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 13:14:11,829:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 13:14:11,878:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 13:14:11,879:INFO:Creating grid variables
- 2022-04-07 13:14:11,887:INFO:create_model_container: 0
- 2022-04-07 13:14:11,887:INFO:master_model_container: 0
- 2022-04-07 13:14:11,887:INFO:display_container: 1
- 2022-04-07 13:14:11,891:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:14:11,891:INFO:setup() succesfully completed......................................
- 2022-04-07 13:14:17,533:INFO:Initializing load_model()
- 2022-04-07 13:14:17,533:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:14:23,008:INFO:Initializing predict_model()
- 2022-04-07 13:14:23,008:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-07 13:14:23,008:INFO:Checking exceptions
- 2022-04-07 13:14:23,009:INFO:Preloading libraries
- 2022-04-07 13:14:23,009:INFO:Preparing display monitor
- 2022-04-07 13:15:36,640:INFO:Initializing get_config()
- 2022-04-07 13:15:36,641:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:15:36,643:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:15:36,643:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:15:36,644:INFO:Initializing get_config()
- 2022-04-07 13:15:36,644:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-07 13:15:36,648:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:15:36,650:INFO:Initializing get_config()
- 2022-04-07 13:15:36,650:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:15:36,653:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:15:36,653:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:15:36,653:INFO:Initializing get_config()
- 2022-04-07 13:15:36,653:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:15:36,656:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:15:36,656:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:15:36,656:INFO:Initializing get_config()
- 2022-04-07 13:15:36,656:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:15:36,658:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:15:36,659:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:15:36,667:INFO:Initializing save_model()
- 2022-04-07 13:15:36,667:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-07 13:15:36,668:INFO:Adding model into prep_pipe
- 2022-04-07 13:15:36,813:WARNING:Only Model saved as it was a pipeline.
- 2022-04-07 13:15:36,891:INFO:my_api.pkl saved in current working directory
- 2022-04-07 13:15:36,898:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-07 13:15:36,898:INFO:save_model() successfully completed......................................
- 2022-04-07 13:21:03,536:INFO:Initializing get_config()
- 2022-04-07 13:21:03,536:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:21:03,539:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:21:03,539:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:21:03,539:INFO:Initializing get_config()
- 2022-04-07 13:21:03,539:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-07 13:21:03,543:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:21:03,545:INFO:Initializing get_config()
- 2022-04-07 13:21:03,545:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:21:03,547:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:21:03,547:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:21:03,548:INFO:Initializing get_config()
- 2022-04-07 13:21:03,548:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:21:03,550:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:21:03,550:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:21:03,550:INFO:Initializing get_config()
- 2022-04-07 13:21:03,551:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:21:03,553:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:21:03,553:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:21:03,561:INFO:Initializing save_model()
- 2022-04-07 13:21:03,562:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-07 13:21:03,562:INFO:Adding model into prep_pipe
- 2022-04-07 13:21:03,704:WARNING:Only Model saved as it was a pipeline.
- 2022-04-07 13:21:03,782:INFO:my_api.pkl saved in current working directory
- 2022-04-07 13:21:03,789:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-07 13:21:03,789:INFO:save_model() successfully completed......................................
- 2022-04-07 13:21:05,483:INFO:Initializing load_model()
- 2022-04-07 13:21:05,483:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:26:06,628:INFO:Initializing load_model()
- 2022-04-07 13:26:06,628:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:28:29,000:INFO:Initializing load_model()
- 2022-04-07 13:28:29,001:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:28:52,389:INFO:Initializing predict_model()
- 2022-04-07 13:28:52,389:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:28:52,390:INFO:Checking exceptions
- 2022-04-07 13:28:52,390:INFO:Preloading libraries
- 2022-04-07 13:29:23,104:INFO:Initializing predict_model()
- 2022-04-07 13:29:23,104:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:29:23,105:INFO:Checking exceptions
- 2022-04-07 13:29:23,105:INFO:Preloading libraries
- 2022-04-07 13:29:59,038:INFO:Initializing predict_model()
- 2022-04-07 13:29:59,038:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:29:59,038:INFO:Checking exceptions
- 2022-04-07 13:29:59,039:INFO:Preloading libraries
- 2022-04-07 13:30:30,811:INFO:Initializing load_model()
- 2022-04-07 13:30:30,811:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:31:05,499:INFO:Initializing predict_model()
- 2022-04-07 13:31:05,499:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:31:05,499:INFO:Checking exceptions
- 2022-04-07 13:31:05,499:INFO:Preloading libraries
- 2022-04-07 13:31:18,202:INFO:Initializing predict_model()
- 2022-04-07 13:31:18,202:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:31:18,202:INFO:Checking exceptions
- 2022-04-07 13:31:18,202:INFO:Preloading libraries
- 2022-04-07 13:33:35,679:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,680:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,680:INFO:Checking exceptions
- 2022-04-07 13:33:35,680:INFO:Preloading libraries
- 2022-04-07 13:33:35,700:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,700:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,700:INFO:Checking exceptions
- 2022-04-07 13:33:35,700:INFO:Preloading libraries
- 2022-04-07 13:33:35,719:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,719:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,719:INFO:Checking exceptions
- 2022-04-07 13:33:35,720:INFO:Preloading libraries
- 2022-04-07 13:33:35,739:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,740:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,740:INFO:Checking exceptions
- 2022-04-07 13:33:35,740:INFO:Preloading libraries
- 2022-04-07 13:33:35,760:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,760:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,761:INFO:Checking exceptions
- 2022-04-07 13:33:35,761:INFO:Preloading libraries
- 2022-04-07 13:33:35,781:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,781:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,781:INFO:Checking exceptions
- 2022-04-07 13:33:35,781:INFO:Preloading libraries
- 2022-04-07 13:33:35,803:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,803:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,803:INFO:Checking exceptions
- 2022-04-07 13:33:35,803:INFO:Preloading libraries
- 2022-04-07 13:33:35,825:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,825:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,825:INFO:Checking exceptions
- 2022-04-07 13:33:35,825:INFO:Preloading libraries
- 2022-04-07 13:33:35,846:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,846:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,846:INFO:Checking exceptions
- 2022-04-07 13:33:35,846:INFO:Preloading libraries
- 2022-04-07 13:33:35,867:INFO:Initializing predict_model()
- 2022-04-07 13:33:35,867:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:33:35,867:INFO:Checking exceptions
- 2022-04-07 13:33:35,867:INFO:Preloading libraries
- 2022-04-07 13:36:41,492:INFO:Initializing load_model()
- 2022-04-07 13:36:41,493:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:37:56,573:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,573:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,573:INFO:Checking exceptions
- 2022-04-07 13:37:56,573:INFO:Preloading libraries
- 2022-04-07 13:37:56,593:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,593:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,593:INFO:Checking exceptions
- 2022-04-07 13:37:56,593:INFO:Preloading libraries
- 2022-04-07 13:37:56,614:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,614:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,614:INFO:Checking exceptions
- 2022-04-07 13:37:56,615:INFO:Preloading libraries
- 2022-04-07 13:37:56,635:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,635:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,635:INFO:Checking exceptions
- 2022-04-07 13:37:56,635:INFO:Preloading libraries
- 2022-04-07 13:37:56,656:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,656:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,657:INFO:Checking exceptions
- 2022-04-07 13:37:56,657:INFO:Preloading libraries
- 2022-04-07 13:37:56,677:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,678:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,678:INFO:Checking exceptions
- 2022-04-07 13:37:56,678:INFO:Preloading libraries
- 2022-04-07 13:37:56,697:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,697:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,698:INFO:Checking exceptions
- 2022-04-07 13:37:56,698:INFO:Preloading libraries
- 2022-04-07 13:37:56,717:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,718:INFO:Checking exceptions
- 2022-04-07 13:37:56,718:INFO:Preloading libraries
- 2022-04-07 13:37:56,739:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,739:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,740:INFO:Checking exceptions
- 2022-04-07 13:37:56,740:INFO:Preloading libraries
- 2022-04-07 13:37:56,760:INFO:Initializing predict_model()
- 2022-04-07 13:37:56,760:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:37:56,760:INFO:Checking exceptions
- 2022-04-07 13:37:56,760:INFO:Preloading libraries
- 2022-04-07 13:43:20,825:INFO:Initializing load_model()
- 2022-04-07 13:43:20,826:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:57:54,115:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,115:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,115:INFO:Checking exceptions
- 2022-04-07 13:57:54,116:INFO:Preloading libraries
- 2022-04-07 13:57:54,137:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,137:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,138:INFO:Checking exceptions
- 2022-04-07 13:57:54,138:INFO:Preloading libraries
- 2022-04-07 13:57:54,161:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,161:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,161:INFO:Checking exceptions
- 2022-04-07 13:57:54,161:INFO:Preloading libraries
- 2022-04-07 13:57:54,185:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,185:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,185:INFO:Checking exceptions
- 2022-04-07 13:57:54,185:INFO:Preloading libraries
- 2022-04-07 13:57:54,207:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,207:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,207:INFO:Checking exceptions
- 2022-04-07 13:57:54,208:INFO:Preloading libraries
- 2022-04-07 13:57:54,230:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,230:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,231:INFO:Checking exceptions
- 2022-04-07 13:57:54,231:INFO:Preloading libraries
- 2022-04-07 13:57:54,252:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,252:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,253:INFO:Checking exceptions
- 2022-04-07 13:57:54,253:INFO:Preloading libraries
- 2022-04-07 13:57:54,275:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,276:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,276:INFO:Checking exceptions
- 2022-04-07 13:57:54,276:INFO:Preloading libraries
- 2022-04-07 13:57:54,299:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,299:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,299:INFO:Checking exceptions
- 2022-04-07 13:57:54,299:INFO:Preloading libraries
- 2022-04-07 13:57:54,321:INFO:Initializing predict_model()
- 2022-04-07 13:57:54,321:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 13:57:54,321:INFO:Checking exceptions
- 2022-04-07 13:57:54,321:INFO:Preloading libraries
- 2022-04-07 13:59:29,858:INFO:PyCaret Supervised Module
- 2022-04-07 13:59:29,859:INFO:ML Usecase: classification
- 2022-04-07 13:59:29,859:INFO:version 2.3.9
- 2022-04-07 13:59:29,859:INFO:Initializing setup()
- 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)
- 2022-04-07 13:59:29,860:INFO:Checking environment
- 2022-04-07 13:59:29,860:INFO:python_version: 3.8.13
- 2022-04-07 13:59:29,860:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-07 13:59:29,860:INFO:machine: x86_64
- 2022-04-07 13:59:29,860:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-07 13:59:29,861:INFO:Physical Core: 16
- 2022-04-07 13:59:29,861:INFO:Logical Core: 32
- 2022-04-07 13:59:29,862:INFO:Checking libraries
- 2022-04-07 13:59:29,862:INFO:pd==1.4.2
- 2022-04-07 13:59:29,862:INFO:numpy==1.19.5
- 2022-04-07 13:59:29,862:INFO:sklearn==0.23.2
- 2022-04-07 13:59:29,862:INFO:lightgbm==3.3.2
- 2022-04-07 13:59:29,863:WARNING:catboost not found
- 2022-04-07 13:59:29,863:INFO:xgboost==1.5.2
- 2022-04-07 13:59:29,863:INFO:mlflow==1.24.0
- 2022-04-07 13:59:29,864:INFO:Checking Exceptions
- 2022-04-07 13:59:29,864:INFO:Declaring global variables
- 2022-04-07 13:59:29,864:INFO:USI: 7e18
- 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'}
- 2022-04-07 13:59:29,864:INFO:Preparing display monitor
- 2022-04-07 13:59:29,865:INFO:Preparing display monitor
- 2022-04-07 13:59:29,871:INFO:Importing libraries
- 2022-04-07 13:59:29,871:INFO:Copying data for preprocessing
- 2022-04-07 13:59:29,876:INFO:Declaring preprocessing parameters
- 2022-04-07 13:59:29,879:INFO:Creating preprocessing pipeline
- 2022-04-07 13:59:29,907:INFO:Preprocessing pipeline created successfully
- 2022-04-07 13:59:29,908:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 13:59:29,908:INFO:Creating global containers
- 2022-04-07 13:59:29,908:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 13:59:31,994:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 13:59:32,042:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 13:59:32,043:INFO:Creating grid variables
- 2022-04-07 13:59:32,049:INFO:create_model_container: 0
- 2022-04-07 13:59:32,050:INFO:master_model_container: 0
- 2022-04-07 13:59:32,050:INFO:display_container: 1
- 2022-04-07 13:59:32,052:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:59:32,053:INFO:setup() succesfully completed......................................
- 2022-04-07 13:59:36,294:INFO:Initializing load_model()
- 2022-04-07 13:59:36,294:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-04-07 13:59:50,073:INFO:Initializing predict_model()
- 2022-04-07 13:59:50,073:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-07 13:59:50,073:INFO:Checking exceptions
- 2022-04-07 13:59:50,074:INFO:Preloading libraries
- 2022-04-07 13:59:50,074:INFO:Preparing display monitor
- 2022-04-07 13:59:53,787:INFO:Initializing get_config()
- 2022-04-07 13:59:53,788:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:59:53,790:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:59:53,790:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:59:53,791:INFO:Initializing get_config()
- 2022-04-07 13:59:53,791:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-07 13:59:53,794:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:59:53,796:INFO:Initializing get_config()
- 2022-04-07 13:59:53,796:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:59:53,799:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:59:53,799:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:59:53,799:INFO:Initializing get_config()
- 2022-04-07 13:59:53,799:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:59:53,801:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:59:53,801:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:59:53,802:INFO:Initializing get_config()
- 2022-04-07 13:59:53,802:INFO:get_config(variable=prep_pipe)
- 2022-04-07 13:59:53,804:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 13:59:53,805:INFO:get_config() succesfully completed......................................
- 2022-04-07 13:59:53,813:INFO:Initializing save_model()
- 2022-04-07 13:59:53,813:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-07 13:59:53,813:INFO:Adding model into prep_pipe
- 2022-04-07 13:59:53,949:WARNING:Only Model saved as it was a pipeline.
- 2022-04-07 13:59:54,026:INFO:my_api.pkl saved in current working directory
- 2022-04-07 13:59:54,032:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-07 13:59:54,033:INFO:save_model() successfully completed......................................
- 2022-04-07 14:00:31,372:INFO:Initializing load_model()
- 2022-04-07 14:00:31,373:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:00:35,752:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,752:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,753:INFO:Checking exceptions
- 2022-04-07 14:00:35,753:INFO:Preloading libraries
- 2022-04-07 14:00:35,773:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,774:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,774:INFO:Checking exceptions
- 2022-04-07 14:00:35,774:INFO:Preloading libraries
- 2022-04-07 14:00:35,795:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,795:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,796:INFO:Checking exceptions
- 2022-04-07 14:00:35,796:INFO:Preloading libraries
- 2022-04-07 14:00:35,815:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,815:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,816:INFO:Checking exceptions
- 2022-04-07 14:00:35,816:INFO:Preloading libraries
- 2022-04-07 14:00:35,836:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,836:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,836:INFO:Checking exceptions
- 2022-04-07 14:00:35,836:INFO:Preloading libraries
- 2022-04-07 14:00:35,858:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,858:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,858:INFO:Checking exceptions
- 2022-04-07 14:00:35,859:INFO:Preloading libraries
- 2022-04-07 14:00:35,878:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,878:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,878:INFO:Checking exceptions
- 2022-04-07 14:00:35,879:INFO:Preloading libraries
- 2022-04-07 14:00:35,899:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,899:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,899:INFO:Checking exceptions
- 2022-04-07 14:00:35,900:INFO:Preloading libraries
- 2022-04-07 14:00:35,921:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,922:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,922:INFO:Checking exceptions
- 2022-04-07 14:00:35,922:INFO:Preloading libraries
- 2022-04-07 14:00:35,942:INFO:Initializing predict_model()
- 2022-04-07 14:00:35,942:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=4096,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=6597, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:00:35,942:INFO:Checking exceptions
- 2022-04-07 14:00:35,943:INFO:Preloading libraries
- 2022-04-07 14:02:11,216:INFO:PyCaret Supervised Module
- 2022-04-07 14:02:11,216:INFO:ML Usecase: classification
- 2022-04-07 14:02:11,216:INFO:version 2.3.6
- 2022-04-07 14:02:11,217:INFO:Initializing setup()
- 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)
- 2022-04-07 14:02:11,217:INFO:Checking environment
- 2022-04-07 14:02:11,217:INFO:python_version: 3.8.8
- 2022-04-07 14:02:11,218:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-04-07 14:02:11,218:INFO:machine: x86_64
- 2022-04-07 14:02:11,218:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-04-07 14:02:11,219:INFO:Physical Core: 16
- 2022-04-07 14:02:11,219:INFO:Logical Core: 32
- 2022-04-07 14:02:11,219:INFO:Checking libraries
- 2022-04-07 14:02:11,220:INFO:pd==1.3.0
- 2022-04-07 14:02:11,220:INFO:numpy==1.22.3
- 2022-04-07 14:02:11,220:INFO:sklearn==0.23.2
- 2022-04-07 14:02:11,220:INFO:lightgbm==3.3.2
- 2022-04-07 14:02:11,221:WARNING:catboost not found
- 2022-04-07 14:02:11,293:INFO:xgboost==1.4.2
- 2022-04-07 14:02:11,486:INFO:mlflow==1.22.0
- 2022-04-07 14:02:11,487:INFO:Checking Exceptions
- 2022-04-07 14:02:11,488:INFO:Declaring global variables
- 2022-04-07 14:02:11,488:INFO:USI: b2c1
- 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'}
- 2022-04-07 14:02:11,489:INFO:Preparing display monitor
- 2022-04-07 14:02:11,489:INFO:Preparing display monitor
- 2022-04-07 14:02:11,499:INFO:Importing libraries
- 2022-04-07 14:02:11,500:INFO:Copying data for preprocessing
- 2022-04-07 14:02:11,506:INFO:Declaring preprocessing parameters
- 2022-04-07 14:02:11,507:WARNING:cuML not found
- 2022-04-07 14:02:11,507:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-04-07 14:02:11,511:INFO:Creating preprocessing pipeline
- 2022-04-07 14:02:11,549:INFO:Preprocessing pipeline created successfully
- 2022-04-07 14:02:11,550:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 14:02:11,550:INFO:Creating global containers
- 2022-04-07 14:02:11,551:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 14:02:13,362:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-07 14:02:13,389:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-07 14:02:13,392:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-07 14:02:13,392:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-07 14:02:13,408:WARNING:Couldn't import cuml.linear_model
- 2022-04-07 14:02:13,411:WARNING:Couldn't import cuml.ensemble
- 2022-04-07 14:02:13,435:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 14:02:13,436:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-07 14:02:13,464:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-07 14:02:13,465:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-07 14:02:13,465:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-07 14:02:13,479:WARNING:Couldn't import cuml.linear_model
- 2022-04-07 14:02:13,482:WARNING:Couldn't import cuml.ensemble
- 2022-04-07 14:02:13,487:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 14:02:13,488:INFO:Creating grid variables
- 2022-04-07 14:02:13,497:INFO:create_model_container: 0
- 2022-04-07 14:02:13,497:INFO:master_model_container: 0
- 2022-04-07 14:02:13,497:INFO:display_container: 1
- 2022-04-07 14:02:13,500:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:02:13,500:INFO:setup() succesfully completed......................................
- 2022-04-07 14:02:23,664:INFO:Initializing create_model()
- 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})
- 2022-04-07 14:02:23,664:INFO:Checking exceptions
- 2022-04-07 14:02:23,665:INFO:Preparing display monitor
- 2022-04-07 14:02:23,675:INFO:Importing libraries
- 2022-04-07 14:02:23,676:INFO:Copying training dataset
- 2022-04-07 14:02:23,677:INFO:Defining folds
- 2022-04-07 14:02:23,677:INFO:Declaring metric variables
- 2022-04-07 14:02:23,682:INFO:Importing untrained model
- 2022-04-07 14:02:23,687:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-07 14:02:23,696:INFO:Starting cross validation
- 2022-04-07 14:02:23,697:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-07 14:02:24,493:INFO:Calculating mean and std
- 2022-04-07 14:02:24,494:INFO:Creating metrics dataframe
- 2022-04-07 14:02:24,502:INFO:Finalizing model
- 2022-04-07 14:03:18,751:INFO:PyCaret Supervised Module
- 2022-04-07 14:03:18,751:INFO:ML Usecase: classification
- 2022-04-07 14:03:18,751:INFO:version 2.3.6
- 2022-04-07 14:03:18,751:INFO:Initializing setup()
- 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)
- 2022-04-07 14:03:18,751:INFO:Checking environment
- 2022-04-07 14:03:18,751:INFO:python_version: 3.8.12
- 2022-04-07 14:03:18,751:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-04-07 14:03:18,751:INFO:machine: AMD64
- 2022-04-07 14:03:18,752:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-04-07 14:03:18,752:INFO:Memory: svmem(total=68629368832, available=44612800512, percent=35.0, used=24016568320, free=44612800512)
- 2022-04-07 14:03:18,752:INFO:Physical Core: 16
- 2022-04-07 14:03:18,752:INFO:Logical Core: 32
- 2022-04-07 14:03:18,752:INFO:Checking libraries
- 2022-04-07 14:03:18,752:INFO:pd==1.3.5
- 2022-04-07 14:03:18,752:INFO:numpy==1.21.5
- 2022-04-07 14:03:18,752:INFO:sklearn==0.23.2
- 2022-04-07 14:03:18,752:INFO:lightgbm==3.3.2
- 2022-04-07 14:03:19,023:INFO:catboost==1.0.4
- 2022-04-07 14:03:19,323:INFO:xgboost==1.5.2
- 2022-04-07 14:03:19,908:INFO:mlflow==1.23.1
- 2022-04-07 14:03:19,908:INFO:Checking Exceptions
- 2022-04-07 14:03:19,909:INFO:Declaring global variables
- 2022-04-07 14:03:19,909:INFO:USI: d27e
- 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'}
- 2022-04-07 14:03:19,909:INFO:Preparing display monitor
- 2022-04-07 14:03:19,909:INFO:Preparing display monitor
- 2022-04-07 14:03:19,920:INFO:Importing libraries
- 2022-04-07 14:03:19,920:INFO:Copying data for preprocessing
- 2022-04-07 14:03:19,926:INFO:Declaring preprocessing parameters
- 2022-04-07 14:03:19,927:WARNING:cuML not found
- 2022-04-07 14:03:19,927:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-04-07 14:03:19,930:INFO:Creating preprocessing pipeline
- 2022-04-07 14:03:19,977:INFO:Preprocessing pipeline created successfully
- 2022-04-07 14:03:19,977:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 14:03:19,977:INFO:Creating global containers
- 2022-04-07 14:03:19,979:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 14:03:21,343:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-07 14:03:21,378:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-07 14:03:21,380:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-07 14:03:21,381:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-07 14:03:21,402:WARNING:Couldn't import cuml.linear_model
- 2022-04-07 14:03:21,406:WARNING:Couldn't import cuml.ensemble
- 2022-04-07 14:03:22,058:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-07 14:03:22,118:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-07 14:03:22,119:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-07 14:03:22,121:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-07 14:03:22,151:WARNING:Couldn't import cuml.linear_model
- 2022-04-07 14:03:22,156:WARNING:Couldn't import cuml.ensemble
- 2022-04-07 14:03:22,283:INFO:Creating grid variables
- 2022-04-07 14:03:22,298:INFO:create_model_container: 0
- 2022-04-07 14:03:22,298:INFO:master_model_container: 0
- 2022-04-07 14:03:22,298:INFO:display_container: 1
- 2022-04-07 14:03:22,303:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:03:22,304:INFO:setup() succesfully completed......................................
- 2022-04-07 14:03:26,278:INFO:Initializing create_model()
- 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})
- 2022-04-07 14:03:26,278:INFO:Checking exceptions
- 2022-04-07 14:03:26,278:INFO:Preparing display monitor
- 2022-04-07 14:03:26,288:INFO:Importing libraries
- 2022-04-07 14:03:26,288:INFO:Copying training dataset
- 2022-04-07 14:03:26,290:INFO:Defining folds
- 2022-04-07 14:03:26,290:INFO:Declaring metric variables
- 2022-04-07 14:03:26,295:INFO:Importing untrained model
- 2022-04-07 14:03:26,300:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-07 14:03:26,311:INFO:Starting cross validation
- 2022-04-07 14:03:26,312:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-07 14:03:37,439:INFO:Calculating mean and std
- 2022-04-07 14:03:37,439:INFO:Creating metrics dataframe
- 2022-04-07 14:03:37,452:INFO:Finalizing model
- 2022-04-07 14:03:38,454:INFO:Uploading results into container
- 2022-04-07 14:03:38,454:INFO:Uploading model into container now
- 2022-04-07 14:03:38,462:INFO:create_model_container: 1
- 2022-04-07 14:03:38,462:INFO:master_model_container: 1
- 2022-04-07 14:03:38,462:INFO:display_container: 2
- 2022-04-07 14:03:38,464:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:03:38,464:INFO:create_model() succesfully completed......................................
- 2022-04-07 14:04:31,818:INFO:Initializing tune_model()
- 2022-04-07 14:04:31,818:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-04-07 14:04:31,818:INFO:Checking exceptions
- 2022-04-07 14:04:31,819:INFO:Preparing display monitor
- 2022-04-07 14:04:31,829:INFO:Copying training dataset
- 2022-04-07 14:04:31,831:INFO:Checking base model
- 2022-04-07 14:04:31,831:INFO:Base model : Extreme Gradient Boosting
- 2022-04-07 14:04:31,836:INFO:Declaring metric variables
- 2022-04-07 14:04:31,841:INFO:Defining Hyperparameters
- 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]}
- 2022-04-07 14:04:31,917:INFO:Tuning with n_jobs=1
- 2022-04-07 14:04:31,917:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-04-07 14:17:53,635:INFO:Hyperparameter search completed
- 2022-04-07 14:17:53,635:INFO:SubProcess create_model() called ==================================
- 2022-04-07 14:17:53,636:INFO:Initializing create_model()
- 2022-04-07 14:17:53,636:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-04-07 14:17:53,637:INFO:Checking exceptions
- 2022-04-07 14:17:53,637:INFO:Importing libraries
- 2022-04-07 14:17:53,637:INFO:Copying training dataset
- 2022-04-07 14:17:53,638:INFO:Defining folds
- 2022-04-07 14:17:53,638:INFO:Declaring metric variables
- 2022-04-07 14:17:53,645:INFO:Importing untrained model
- 2022-04-07 14:17:53,645:INFO:Declaring custom model
- 2022-04-07 14:17:53,653:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-07 14:17:53,667:INFO:Starting cross validation
- 2022-04-07 14:17:53,669:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-07 14:19:37,858:INFO:Calculating mean and std
- 2022-04-07 14:19:37,859:INFO:Creating metrics dataframe
- 2022-04-07 14:19:37,869:INFO:Finalizing model
- 2022-04-07 14:19:48,058:INFO:Uploading results into container
- 2022-04-07 14:19:48,058:INFO:Uploading model into container now
- 2022-04-07 14:19:48,058:INFO:create_model_container: 2
- 2022-04-07 14:19:48,058:INFO:master_model_container: 2
- 2022-04-07 14:19:48,058:INFO:display_container: 3
- 2022-04-07 14:19:48,059:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:19:48,059:INFO:create_model() succesfully completed......................................
- 2022-04-07 14:19:48,126:INFO:SubProcess create_model() end ==================================
- 2022-04-07 14:19:48,133:INFO:create_model_container: 2
- 2022-04-07 14:19:48,134:INFO:master_model_container: 2
- 2022-04-07 14:19:48,134:INFO:display_container: 3
- 2022-04-07 14:19:48,135:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:19:48,135:INFO:tune_model() succesfully completed......................................
- 2022-04-07 14:24:00,141:INFO:Initializing finalize_model()
- 2022-04-07 14:24:00,142:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
- 2022-04-07 14:24:00,143:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:24:00,144:INFO:Initializing create_model()
- 2022-04-07 14:24:00,144:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-04-07 14:24:00,144:INFO:Checking exceptions
- 2022-04-07 14:24:00,144:INFO:Importing libraries
- 2022-04-07 14:24:00,144:INFO:Copying training dataset
- 2022-04-07 14:24:00,145:INFO:Defining folds
- 2022-04-07 14:24:00,145:INFO:Declaring metric variables
- 2022-04-07 14:24:00,145:INFO:Importing untrained model
- 2022-04-07 14:24:00,145:INFO:Declaring custom model
- 2022-04-07 14:24:00,146:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-07 14:24:00,147:INFO:Starting cross validation
- 2022-04-07 14:24:00,147:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-07 14:25:51,751:INFO:Calculating mean and std
- 2022-04-07 14:25:51,752:INFO:Creating metrics dataframe
- 2022-04-07 14:25:51,755:INFO:Finalizing model
- 2022-04-07 14:26:04,152:INFO:create_model_container: 2
- 2022-04-07 14:26:04,152:INFO:master_model_container: 2
- 2022-04-07 14:26:04,152:INFO:display_container: 4
- 2022-04-07 14:26:04,153:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:26:04,153:INFO:create_model() succesfully completed......................................
- 2022-04-07 14:26:04,221:INFO:create_model_container: 2
- 2022-04-07 14:26:04,221:INFO:master_model_container: 2
- 2022-04-07 14:26:04,221:INFO:display_container: 3
- 2022-04-07 14:26:04,222:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:26:04,222:INFO:finalize_model() succesfully completed......................................
- 2022-04-07 14:26:04,293:INFO:Initializing save_model()
- 2022-04-07 14:26:04,293:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_orifeature_0323, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-04-07 14:26:04,293:INFO:Adding model into prep_pipe
- 2022-04-07 14:26:04,508:INFO:tuned_xgboost_orifeature_0323.pkl saved in current working directory
- 2022-04-07 14:26:04,515:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-07 14:26:04,515:INFO:save_model() successfully completed......................................
- 2022-04-07 14:26:23,579:INFO:Initializing finalize_model()
- 2022-04-07 14:26:23,579:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
- 2022-04-07 14:26:23,581:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:26:23,582:INFO:Initializing create_model()
- 2022-04-07 14:26:23,582:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-04-07 14:26:23,582:INFO:Checking exceptions
- 2022-04-07 14:26:23,582:INFO:Importing libraries
- 2022-04-07 14:26:23,582:INFO:Copying training dataset
- 2022-04-07 14:26:23,583:INFO:Defining folds
- 2022-04-07 14:26:23,583:INFO:Declaring metric variables
- 2022-04-07 14:26:23,583:INFO:Importing untrained model
- 2022-04-07 14:26:23,583:INFO:Declaring custom model
- 2022-04-07 14:26:23,585:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-07 14:26:23,585:INFO:Starting cross validation
- 2022-04-07 14:26:23,585:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-07 14:28:14,495:INFO:Calculating mean and std
- 2022-04-07 14:28:14,496:INFO:Creating metrics dataframe
- 2022-04-07 14:28:14,499:INFO:Finalizing model
- 2022-04-07 14:28:26,860:INFO:create_model_container: 2
- 2022-04-07 14:28:26,860:INFO:master_model_container: 2
- 2022-04-07 14:28:26,860:INFO:display_container: 4
- 2022-04-07 14:28:26,861:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:28:26,861:INFO:create_model() succesfully completed......................................
- 2022-04-07 14:28:26,926:INFO:create_model_container: 2
- 2022-04-07 14:28:26,926:INFO:master_model_container: 2
- 2022-04-07 14:28:26,926:INFO:display_container: 3
- 2022-04-07 14:28:26,927:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-07 14:28:26,928:INFO:finalize_model() succesfully completed......................................
- 2022-04-07 14:28:26,988:INFO:Initializing save_model()
- 2022-04-07 14:28:26,988:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_orifeature_0407, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-04-07 14:28:26,988:INFO:Adding model into prep_pipe
- 2022-04-07 14:28:27,195:INFO:tuned_xgboost_orifeature_0407.pkl saved in current working directory
- 2022-04-07 14:28:27,203:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-07 14:28:27,203:INFO:save_model() successfully completed......................................
- 2022-04-07 14:28:54,442:INFO:Initializing load_model()
- 2022-04-07 14:28:54,442:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:28:54,587:INFO:Initializing predict_model()
- 2022-04-07 14:28:54,588:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 14:28:54,588:INFO:Checking exceptions
- 2022-04-07 14:28:54,588:INFO:Preloading libraries
- 2022-04-07 14:28:54,588:INFO:Preparing display monitor
- 2022-04-07 14:29:10,486:INFO:Initializing load_model()
- 2022-04-07 14:29:10,486:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:29:10,626:INFO:Initializing predict_model()
- 2022-04-07 14:29:10,626:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 14:29:10,626:INFO:Checking exceptions
- 2022-04-07 14:29:10,626:INFO:Preloading libraries
- 2022-04-07 14:29:10,626:INFO:Preparing display monitor
- 2022-04-07 14:29:21,147:INFO:Initializing load_model()
- 2022-04-07 14:29:21,147:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:29:21,286:INFO:Initializing predict_model()
- 2022-04-07 14:29:21,286:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 14:29:21,286:INFO:Checking exceptions
- 2022-04-07 14:29:21,286:INFO:Preloading libraries
- 2022-04-07 14:29:21,286:INFO:Preparing display monitor
- 2022-04-07 14:30:08,724:INFO:PyCaret Supervised Module
- 2022-04-07 14:30:08,725:INFO:ML Usecase: classification
- 2022-04-07 14:30:08,725:INFO:version 2.3.9
- 2022-04-07 14:30:08,725:INFO:Initializing setup()
- 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)
- 2022-04-07 14:30:08,725:INFO:Checking environment
- 2022-04-07 14:30:08,725:INFO:python_version: 3.8.13
- 2022-04-07 14:30:08,726:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-07 14:30:08,726:INFO:machine: x86_64
- 2022-04-07 14:30:08,726:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-07 14:30:08,727:INFO:Physical Core: 16
- 2022-04-07 14:30:08,727:INFO:Logical Core: 32
- 2022-04-07 14:30:08,727:INFO:Checking libraries
- 2022-04-07 14:30:08,727:INFO:pd==1.4.2
- 2022-04-07 14:30:08,727:INFO:numpy==1.19.5
- 2022-04-07 14:30:08,727:INFO:sklearn==0.23.2
- 2022-04-07 14:30:08,728:INFO:lightgbm==3.3.2
- 2022-04-07 14:30:08,729:WARNING:catboost not found
- 2022-04-07 14:30:08,729:INFO:xgboost==1.5.2
- 2022-04-07 14:30:08,729:INFO:mlflow==1.24.0
- 2022-04-07 14:30:08,729:INFO:Checking Exceptions
- 2022-04-07 14:30:08,730:INFO:Declaring global variables
- 2022-04-07 14:30:08,730:INFO:USI: a672
- 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'}
- 2022-04-07 14:30:08,730:INFO:Preparing display monitor
- 2022-04-07 14:30:08,730:INFO:Preparing display monitor
- 2022-04-07 14:30:08,737:INFO:Importing libraries
- 2022-04-07 14:30:08,738:INFO:Copying data for preprocessing
- 2022-04-07 14:30:08,744:INFO:Declaring preprocessing parameters
- 2022-04-07 14:30:08,746:INFO:Creating preprocessing pipeline
- 2022-04-07 14:30:08,774:INFO:Preprocessing pipeline created successfully
- 2022-04-07 14:30:08,775:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 14:30:08,775:INFO:Creating global containers
- 2022-04-07 14:30:08,775:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 14:30:11,867:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 14:30:11,914:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 14:30:11,915:INFO:Creating grid variables
- 2022-04-07 14:30:11,922:INFO:create_model_container: 0
- 2022-04-07 14:30:11,922:INFO:master_model_container: 0
- 2022-04-07 14:30:11,923:INFO:display_container: 1
- 2022-04-07 14:30:11,925:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:30:11,925:INFO:setup() succesfully completed......................................
- 2022-04-07 14:30:27,569:INFO:Initializing load_model()
- 2022-04-07 14:30:27,569:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:30:31,779:INFO:Initializing predict_model()
- 2022-04-07 14:30:31,779:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-07 14:30:31,779:INFO:Checking exceptions
- 2022-04-07 14:30:31,780:INFO:Preloading libraries
- 2022-04-07 14:30:31,780:INFO:Preparing display monitor
- 2022-04-07 14:30:43,539:INFO:Initializing get_config()
- 2022-04-07 14:30:43,539:INFO:get_config(variable=prep_pipe)
- 2022-04-07 14:30:43,542:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:30:43,542:INFO:get_config() succesfully completed......................................
- 2022-04-07 14:30:43,542:INFO:Initializing get_config()
- 2022-04-07 14:30:43,542:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-07 14:30:43,546:INFO:get_config() succesfully completed......................................
- 2022-04-07 14:30:43,547:INFO:Initializing get_config()
- 2022-04-07 14:30:43,547:INFO:get_config(variable=prep_pipe)
- 2022-04-07 14:30:43,549:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:30:43,549:INFO:get_config() succesfully completed......................................
- 2022-04-07 14:30:43,550:INFO:Initializing get_config()
- 2022-04-07 14:30:43,550:INFO:get_config(variable=prep_pipe)
- 2022-04-07 14:30:43,552:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:30:43,552:INFO:get_config() succesfully completed......................................
- 2022-04-07 14:30:43,552:INFO:Initializing get_config()
- 2022-04-07 14:30:43,553:INFO:get_config(variable=prep_pipe)
- 2022-04-07 14:30:43,555:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:30:43,555:INFO:get_config() succesfully completed......................................
- 2022-04-07 14:30:43,563:INFO:Initializing save_model()
- 2022-04-07 14:30:43,563:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-07 14:30:43,564:INFO:Adding model into prep_pipe
- 2022-04-07 14:30:43,730:WARNING:Only Model saved as it was a pipeline.
- 2022-04-07 14:30:43,819:INFO:my_api.pkl saved in current working directory
- 2022-04-07 14:30:43,825:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-07 14:30:43,825:INFO:save_model() successfully completed......................................
- 2022-04-07 14:31:23,601:INFO:Initializing load_model()
- 2022-04-07 14:31:23,601:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:32:49,609:INFO:Initializing load_model()
- 2022-04-07 14:32:49,610:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:32:53,623:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,624:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,624:INFO:Checking exceptions
- 2022-04-07 14:32:53,624:INFO:Preloading libraries
- 2022-04-07 14:32:53,645:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,645:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,645:INFO:Checking exceptions
- 2022-04-07 14:32:53,645:INFO:Preloading libraries
- 2022-04-07 14:32:53,666:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,667:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,667:INFO:Checking exceptions
- 2022-04-07 14:32:53,667:INFO:Preloading libraries
- 2022-04-07 14:32:53,687:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,687:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,687:INFO:Checking exceptions
- 2022-04-07 14:32:53,688:INFO:Preloading libraries
- 2022-04-07 14:32:53,708:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,708:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,708:INFO:Checking exceptions
- 2022-04-07 14:32:53,709:INFO:Preloading libraries
- 2022-04-07 14:32:53,730:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,730:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,731:INFO:Checking exceptions
- 2022-04-07 14:32:53,731:INFO:Preloading libraries
- 2022-04-07 14:32:53,751:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,751:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,751:INFO:Checking exceptions
- 2022-04-07 14:32:53,752:INFO:Preloading libraries
- 2022-04-07 14:32:53,773:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,773:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,773:INFO:Checking exceptions
- 2022-04-07 14:32:53,773:INFO:Preloading libraries
- 2022-04-07 14:32:53,794:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,795:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,795:INFO:Checking exceptions
- 2022-04-07 14:32:53,795:INFO:Preloading libraries
- 2022-04-07 14:32:53,815:INFO:Initializing predict_model()
- 2022-04-07 14:32:53,816:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:32:53,816:INFO:Checking exceptions
- 2022-04-07 14:32:53,816:INFO:Preloading libraries
- 2022-04-07 14:34:26,671:INFO:Initializing load_model()
- 2022-04-07 14:34:26,671:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:35:10,944:INFO:Initializing load_model()
- 2022-04-07 14:35:10,944:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:35:22,456:INFO:PyCaret Supervised Module
- 2022-04-07 14:35:22,456:INFO:ML Usecase: classification
- 2022-04-07 14:35:22,456:INFO:version 2.3.6
- 2022-04-07 14:35:22,456:INFO:Initializing setup()
- 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)
- 2022-04-07 14:35:22,456:INFO:Checking environment
- 2022-04-07 14:35:22,456:INFO:python_version: 3.8.12
- 2022-04-07 14:35:22,456:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-04-07 14:35:22,456:INFO:machine: AMD64
- 2022-04-07 14:35:22,456:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-04-07 14:35:22,456:INFO:Memory: svmem(total=68629368832, available=44080541696, percent=35.8, used=24548827136, free=44080541696)
- 2022-04-07 14:35:22,456:INFO:Physical Core: 16
- 2022-04-07 14:35:22,456:INFO:Logical Core: 32
- 2022-04-07 14:35:22,456:INFO:Checking libraries
- 2022-04-07 14:35:22,456:INFO:pd==1.3.5
- 2022-04-07 14:35:22,456:INFO:numpy==1.21.5
- 2022-04-07 14:35:22,456:INFO:sklearn==0.23.2
- 2022-04-07 14:35:22,457:INFO:lightgbm==3.3.2
- 2022-04-07 14:35:22,468:INFO:catboost==1.0.4
- 2022-04-07 14:35:22,468:INFO:xgboost==1.5.2
- 2022-04-07 14:35:22,759:INFO:mlflow==1.23.1
- 2022-04-07 14:35:22,759:INFO:Checking Exceptions
- 2022-04-07 14:35:22,759:INFO:Declaring global variables
- 2022-04-07 14:35:22,759:INFO:USI: 00a0
- 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'}
- 2022-04-07 14:35:22,759:INFO:Preparing display monitor
- 2022-04-07 14:35:22,759:INFO:Preparing display monitor
- 2022-04-07 14:35:22,770:INFO:Importing libraries
- 2022-04-07 14:35:22,770:INFO:Copying data for preprocessing
- 2022-04-07 14:35:22,776:INFO:Declaring preprocessing parameters
- 2022-04-07 14:35:22,780:INFO:Creating preprocessing pipeline
- 2022-04-07 14:35:22,826:INFO:Preprocessing pipeline created successfully
- 2022-04-07 14:35:22,826:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 14:35:22,826:INFO:Creating global containers
- 2022-04-07 14:35:22,827:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 14:35:24,739:INFO:Creating grid variables
- 2022-04-07 14:35:24,748:INFO:create_model_container: 0
- 2022-04-07 14:35:24,748:INFO:master_model_container: 0
- 2022-04-07 14:35:24,748:INFO:display_container: 1
- 2022-04-07 14:35:24,752:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:35:24,752:INFO:setup() succesfully completed......................................
- 2022-04-07 14:35:31,698:INFO:Initializing load_model()
- 2022-04-07 14:35:31,698:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:35:43,366:INFO:Initializing predict_model()
- 2022-04-07 14:35:43,366:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 14:35:43,366:INFO:Checking exceptions
- 2022-04-07 14:35:43,366:INFO:Preloading libraries
- 2022-04-07 14:35:43,366:INFO:Preparing display monitor
- 2022-04-07 14:35:47,135:INFO:Initializing get_config()
- 2022-04-07 14:35:47,135:INFO:get_config(variable=prep_pipe)
- 2022-04-07 14:35:47,138:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:35:47,138:INFO:get_config() succesfully completed......................................
- 2022-04-07 14:35:47,138:INFO:Initializing get_config()
- 2022-04-07 14:35:47,138:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-07 14:35:47,142:INFO:get_config() succesfully completed......................................
- 2022-04-07 14:35:47,144:INFO:Initializing get_config()
- 2022-04-07 14:35:47,144:INFO:get_config(variable=prep_pipe)
- 2022-04-07 14:35:47,147:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:35:47,147:INFO:get_config() succesfully completed......................................
- 2022-04-07 14:35:47,157:INFO:Initializing save_model()
- 2022-04-07 14:35:47,157:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-07 14:35:47,157:INFO:Adding model into prep_pipe
- 2022-04-07 14:35:47,500:WARNING:Only Model saved as it was a pipeline.
- 2022-04-07 14:35:47,724:INFO:my_api.pkl saved in current working directory
- 2022-04-07 14:35:47,731:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-07 14:35:47,731:INFO:save_model() successfully completed......................................
- 2022-04-07 14:36:39,067:INFO:Initializing load_model()
- 2022-04-07 14:36:39,067:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:37:50,464:INFO:Initializing load_model()
- 2022-04-07 14:37:50,464:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:38:14,986:INFO:Initializing load_model()
- 2022-04-07 14:38:14,986:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:39:01,927:INFO:Initializing load_model()
- 2022-04-07 14:39:01,927:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:39:26,935:INFO:Initializing load_model()
- 2022-04-07 14:39:26,935:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:55:56,280:INFO:PyCaret Supervised Module
- 2022-04-07 14:55:56,281:INFO:ML Usecase: classification
- 2022-04-07 14:55:56,281:INFO:version 2.3.9
- 2022-04-07 14:55:56,281:INFO:Initializing setup()
- 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)
- 2022-04-07 14:55:56,281:INFO:Checking environment
- 2022-04-07 14:55:56,281:INFO:python_version: 3.8.13
- 2022-04-07 14:55:56,282:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-07 14:55:56,282:INFO:machine: x86_64
- 2022-04-07 14:55:56,282:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-07 14:55:56,283:INFO:Physical Core: 16
- 2022-04-07 14:55:56,283:INFO:Logical Core: 32
- 2022-04-07 14:55:56,283:INFO:Checking libraries
- 2022-04-07 14:55:56,283:INFO:pd==1.4.2
- 2022-04-07 14:55:56,284:INFO:numpy==1.19.5
- 2022-04-07 14:55:56,284:INFO:sklearn==0.23.2
- 2022-04-07 14:55:56,284:INFO:lightgbm==3.3.2
- 2022-04-07 14:55:56,285:WARNING:catboost not found
- 2022-04-07 14:55:56,308:INFO:xgboost==1.5.2
- 2022-04-07 14:55:56,308:INFO:mlflow==1.24.0
- 2022-04-07 14:55:56,308:INFO:Checking Exceptions
- 2022-04-07 14:55:56,309:INFO:Declaring global variables
- 2022-04-07 14:55:56,309:INFO:USI: f6df
- 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'}
- 2022-04-07 14:55:56,309:INFO:Preparing display monitor
- 2022-04-07 14:55:56,309:INFO:Preparing display monitor
- 2022-04-07 14:55:56,317:INFO:Importing libraries
- 2022-04-07 14:55:56,317:INFO:Copying data for preprocessing
- 2022-04-07 14:55:56,322:INFO:Declaring preprocessing parameters
- 2022-04-07 14:55:56,326:INFO:Creating preprocessing pipeline
- 2022-04-07 14:55:56,355:INFO:Preprocessing pipeline created successfully
- 2022-04-07 14:55:56,355:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 14:55:56,356:INFO:Creating global containers
- 2022-04-07 14:55:56,356:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 14:55:58,311:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 14:55:58,358:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 14:55:58,359:INFO:Creating grid variables
- 2022-04-07 14:55:58,365:INFO:create_model_container: 0
- 2022-04-07 14:55:58,366:INFO:master_model_container: 0
- 2022-04-07 14:55:58,366:INFO:display_container: 1
- 2022-04-07 14:55:58,368:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 14:55:58,368:INFO:setup() succesfully completed......................................
- 2022-04-07 14:56:06,557:INFO:Initializing load_model()
- 2022-04-07 14:56:06,558:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:57:12,894:INFO:Initializing load_model()
- 2022-04-07 14:57:12,894:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 14:57:18,066:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,066:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,066:INFO:Checking exceptions
- 2022-04-07 14:57:18,067:INFO:Preloading libraries
- 2022-04-07 14:57:18,087:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,087:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,087:INFO:Checking exceptions
- 2022-04-07 14:57:18,087:INFO:Preloading libraries
- 2022-04-07 14:57:18,107:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,108:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,108:INFO:Checking exceptions
- 2022-04-07 14:57:18,108:INFO:Preloading libraries
- 2022-04-07 14:57:18,129:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,129:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,130:INFO:Checking exceptions
- 2022-04-07 14:57:18,130:INFO:Preloading libraries
- 2022-04-07 14:57:18,151:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,151:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,151:INFO:Checking exceptions
- 2022-04-07 14:57:18,152:INFO:Preloading libraries
- 2022-04-07 14:57:18,174:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,174:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,174:INFO:Checking exceptions
- 2022-04-07 14:57:18,174:INFO:Preloading libraries
- 2022-04-07 14:57:18,194:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,194:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,194:INFO:Checking exceptions
- 2022-04-07 14:57:18,194:INFO:Preloading libraries
- 2022-04-07 14:57:18,214:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,214:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,214:INFO:Checking exceptions
- 2022-04-07 14:57:18,214:INFO:Preloading libraries
- 2022-04-07 14:57:18,236:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,236:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,236:INFO:Checking exceptions
- 2022-04-07 14:57:18,237:INFO:Preloading libraries
- 2022-04-07 14:57:18,257:INFO:Initializing predict_model()
- 2022-04-07 14:57:18,257:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 14:57:18,257:INFO:Checking exceptions
- 2022-04-07 14:57:18,258:INFO:Preloading libraries
- 2022-04-07 14:58:25,686:INFO:Initializing predict_model()
- 2022-04-07 14:58:25,686:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 14:58:25,687:INFO:Checking exceptions
- 2022-04-07 14:58:25,687:INFO:Preloading libraries
- 2022-04-07 14:58:41,437:INFO:Initializing predict_model()
- 2022-04-07 14:58:41,437:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 14:58:41,437:INFO:Checking exceptions
- 2022-04-07 14:58:41,437:INFO:Preloading libraries
- 2022-04-07 14:58:51,700:INFO:Initializing predict_model()
- 2022-04-07 14:58:51,700:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 14:58:51,700:INFO:Checking exceptions
- 2022-04-07 14:58:51,700:INFO:Preloading libraries
- 2022-04-07 15:00:54,568:INFO:Initializing predict_model()
- 2022-04-07 15:00:54,568:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 15:00:54,568:INFO:Checking exceptions
- 2022-04-07 15:00:54,568:INFO:Preloading libraries
- 2022-04-07 15:45:08,944:INFO:Initializing load_model()
- 2022-04-07 15:45:08,945:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 15:45:20,410:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,410:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,411:INFO:Checking exceptions
- 2022-04-07 15:45:20,411:INFO:Preloading libraries
- 2022-04-07 15:45:20,432:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,432:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,433:INFO:Checking exceptions
- 2022-04-07 15:45:20,433:INFO:Preloading libraries
- 2022-04-07 15:45:20,454:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,455:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,455:INFO:Checking exceptions
- 2022-04-07 15:45:20,455:INFO:Preloading libraries
- 2022-04-07 15:45:20,476:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,476:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,477:INFO:Checking exceptions
- 2022-04-07 15:45:20,477:INFO:Preloading libraries
- 2022-04-07 15:45:20,498:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,498:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,498:INFO:Checking exceptions
- 2022-04-07 15:45:20,498:INFO:Preloading libraries
- 2022-04-07 15:45:20,519:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,519:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,520:INFO:Checking exceptions
- 2022-04-07 15:45:20,520:INFO:Preloading libraries
- 2022-04-07 15:45:20,540:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,541:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,541:INFO:Checking exceptions
- 2022-04-07 15:45:20,541:INFO:Preloading libraries
- 2022-04-07 15:45:20,561:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,561:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,562:INFO:Checking exceptions
- 2022-04-07 15:45:20,562:INFO:Preloading libraries
- 2022-04-07 15:45:20,584:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,584:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,584:INFO:Checking exceptions
- 2022-04-07 15:45:20,584:INFO:Preloading libraries
- 2022-04-07 15:45:20,604:INFO:Initializing predict_model()
- 2022-04-07 15:45:20,604:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 15:45:20,605:INFO:Checking exceptions
- 2022-04-07 15:45:20,605:INFO:Preloading libraries
- 2022-04-07 15:47:14,941:INFO:Initializing predict_model()
- 2022-04-07 15:47:14,941:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 15:47:14,941:INFO:Checking exceptions
- 2022-04-07 15:47:14,941:INFO:Preloading libraries
- 2022-04-07 15:47:51,689:INFO:Initializing predict_model()
- 2022-04-07 15:47:51,689:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 15:47:51,690:INFO:Checking exceptions
- 2022-04-07 15:47:51,690:INFO:Preloading libraries
- 2022-04-07 15:48:15,494:INFO:Initializing predict_model()
- 2022-04-07 15:48:15,494:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 15:48:15,494:INFO:Checking exceptions
- 2022-04-07 15:48:15,494:INFO:Preloading libraries
- 2022-04-07 15:57:59,599:INFO:PyCaret Supervised Module
- 2022-04-07 15:57:59,600:INFO:ML Usecase: classification
- 2022-04-07 15:57:59,600:INFO:version 2.3.6
- 2022-04-07 15:57:59,600:INFO:Initializing setup()
- 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)
- 2022-04-07 15:57:59,600:INFO:Checking environment
- 2022-04-07 15:57:59,600:INFO:python_version: 3.8.12
- 2022-04-07 15:57:59,600:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-04-07 15:57:59,600:INFO:machine: AMD64
- 2022-04-07 15:57:59,600:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-04-07 15:57:59,600:INFO:Memory: svmem(total=68629368832, available=55956131840, percent=18.5, used=12673236992, free=55956131840)
- 2022-04-07 15:57:59,600:INFO:Physical Core: 16
- 2022-04-07 15:57:59,600:INFO:Logical Core: 32
- 2022-04-07 15:57:59,600:INFO:Checking libraries
- 2022-04-07 15:57:59,600:INFO:pd==1.3.5
- 2022-04-07 15:57:59,600:INFO:numpy==1.21.5
- 2022-04-07 15:57:59,600:INFO:sklearn==0.23.2
- 2022-04-07 15:57:59,600:INFO:lightgbm==3.3.2
- 2022-04-07 15:57:59,873:INFO:catboost==1.0.4
- 2022-04-07 15:58:00,167:INFO:xgboost==1.5.2
- 2022-04-07 15:58:00,750:INFO:mlflow==1.23.1
- 2022-04-07 15:58:00,750:INFO:Checking Exceptions
- 2022-04-07 15:58:00,751:INFO:Declaring global variables
- 2022-04-07 15:58:00,752:INFO:USI: faf9
- 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'}
- 2022-04-07 15:58:00,752:INFO:Preparing display monitor
- 2022-04-07 15:58:00,752:INFO:Preparing display monitor
- 2022-04-07 15:58:00,762:INFO:Importing libraries
- 2022-04-07 15:58:00,762:INFO:Copying data for preprocessing
- 2022-04-07 15:58:00,768:INFO:Declaring preprocessing parameters
- 2022-04-07 15:58:00,771:INFO:Creating preprocessing pipeline
- 2022-04-07 15:58:00,818:INFO:Preprocessing pipeline created successfully
- 2022-04-07 15:58:00,818:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 15:58:00,818:INFO:Creating global containers
- 2022-04-07 15:58:00,820:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 15:58:02,944:INFO:Creating grid variables
- 2022-04-07 15:58:02,953:INFO:create_model_container: 0
- 2022-04-07 15:58:02,953:INFO:master_model_container: 0
- 2022-04-07 15:58:02,953:INFO:display_container: 1
- 2022-04-07 15:58:02,956:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 15:58:02,956:INFO:setup() succesfully completed......................................
- 2022-04-07 15:58:08,720:INFO:Initializing load_model()
- 2022-04-07 15:58:08,720:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
- 2022-04-07 15:58:21,972:INFO:Initializing get_config()
- 2022-04-07 15:58:21,972:INFO:get_config(variable=prep_pipe)
- 2022-04-07 15:58:21,975:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 15:58:21,975:INFO:get_config() succesfully completed......................................
- 2022-04-07 15:58:21,975:INFO:Initializing get_config()
- 2022-04-07 15:58:21,975:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-07 15:58:21,979:INFO:get_config() succesfully completed......................................
- 2022-04-07 15:58:21,982:INFO:Initializing get_config()
- 2022-04-07 15:58:21,982:INFO:get_config(variable=prep_pipe)
- 2022-04-07 15:58:21,985:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 15:58:21,985:INFO:get_config() succesfully completed......................................
- 2022-04-07 15:58:21,996:INFO:Initializing save_model()
- 2022-04-07 15:58:21,996:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-07 15:58:21,996:INFO:Adding model into prep_pipe
- 2022-04-07 15:58:22,350:WARNING:Only Model saved as it was a pipeline.
- 2022-04-07 15:58:22,577:INFO:my_api.pkl saved in current working directory
- 2022-04-07 15:58:22,584:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-07 15:58:22,584:INFO:save_model() successfully completed......................................
- 2022-04-07 16:00:14,102:INFO:Initializing load_model()
- 2022-04-07 16:00:14,102:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 16:04:26,041:INFO:Initializing predict_model()
- 2022-04-07 16:04:26,042:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:04:26,042:INFO:Checking exceptions
- 2022-04-07 16:04:26,042:INFO:Preloading libraries
- 2022-04-07 16:04:34,461:INFO:Initializing predict_model()
- 2022-04-07 16:04:34,461:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:04:34,461:INFO:Checking exceptions
- 2022-04-07 16:04:34,461:INFO:Preloading libraries
- 2022-04-07 16:05:18,375:INFO:Initializing predict_model()
- 2022-04-07 16:05:18,376:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:05:18,376:INFO:Checking exceptions
- 2022-04-07 16:05:18,376:INFO:Preloading libraries
- 2022-04-07 16:05:38,270:INFO:Initializing predict_model()
- 2022-04-07 16:05:38,270:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:05:38,270:INFO:Checking exceptions
- 2022-04-07 16:05:38,270:INFO:Preloading libraries
- 2022-04-07 16:05:51,877:INFO:Initializing predict_model()
- 2022-04-07 16:05:51,878:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:05:51,878:INFO:Checking exceptions
- 2022-04-07 16:05:51,878:INFO:Preloading libraries
- 2022-04-07 16:07:31,787:INFO:Initializing predict_model()
- 2022-04-07 16:07:31,787:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:07:31,787:INFO:Checking exceptions
- 2022-04-07 16:07:31,787:INFO:Preloading libraries
- 2022-04-07 16:11:57,943:INFO:Initializing predict_model()
- 2022-04-07 16:11:57,943:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:11:57,943:INFO:Checking exceptions
- 2022-04-07 16:11:57,943:INFO:Preloading libraries
- 2022-04-07 16:18:21,719:INFO:Initializing predict_model()
- 2022-04-07 16:18:21,719:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:18:21,719:INFO:Checking exceptions
- 2022-04-07 16:18:21,719:INFO:Preloading libraries
- 2022-04-07 16:18:23,427:INFO:Initializing predict_model()
- 2022-04-07 16:18:23,428:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:18:23,428:INFO:Checking exceptions
- 2022-04-07 16:18:23,428:INFO:Preloading libraries
- 2022-04-07 16:18:24,314:INFO:Initializing predict_model()
- 2022-04-07 16:18:24,314:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:18:24,314:INFO:Checking exceptions
- 2022-04-07 16:18:24,314:INFO:Preloading libraries
- 2022-04-07 16:20:38,973:INFO:Initializing predict_model()
- 2022-04-07 16:20:38,973:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:20:38,973:INFO:Checking exceptions
- 2022-04-07 16:20:38,973:INFO:Preloading libraries
- 2022-04-07 16:22:33,070:INFO:Initializing load_model()
- 2022-04-07 16:22:33,071:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 16:22:38,922:INFO:Initializing predict_model()
- 2022-04-07 16:22:38,922:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:22:38,922:INFO:Checking exceptions
- 2022-04-07 16:22:38,922:INFO:Preloading libraries
- 2022-04-07 16:22:40,438:INFO:Initializing predict_model()
- 2022-04-07 16:22:40,438:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:22:40,438:INFO:Checking exceptions
- 2022-04-07 16:22:40,438:INFO:Preloading libraries
- 2022-04-07 16:22:41,364:INFO:Initializing predict_model()
- 2022-04-07 16:22:41,365:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:22:41,365:INFO:Checking exceptions
- 2022-04-07 16:22:41,365:INFO:Preloading libraries
- 2022-04-07 16:22:42,155:INFO:Initializing predict_model()
- 2022-04-07 16:22:42,155:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:22:42,155:INFO:Checking exceptions
- 2022-04-07 16:22:42,155:INFO:Preloading libraries
- 2022-04-07 16:22:45,656:INFO:Initializing predict_model()
- 2022-04-07 16:22:45,656:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:22:45,656:INFO:Checking exceptions
- 2022-04-07 16:22:45,656:INFO:Preloading libraries
- 2022-04-07 16:22:52,634:INFO:Initializing predict_model()
- 2022-04-07 16:22:52,634:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:22:52,634:INFO:Checking exceptions
- 2022-04-07 16:22:52,635:INFO:Preloading libraries
- 2022-04-07 16:23:22,948:INFO:Initializing predict_model()
- 2022-04-07 16:23:22,948:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:23:22,948:INFO:Checking exceptions
- 2022-04-07 16:23:22,948:INFO:Preloading libraries
- 2022-04-07 16:24:00,427:INFO:Initializing predict_model()
- 2022-04-07 16:24:00,428:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 16:24:00,428:INFO:Checking exceptions
- 2022-04-07 16:24:00,428:INFO:Preloading libraries
- 2022-04-07 16:24:03,723:INFO:Initializing predict_model()
- 2022-04-07 16:24:03,723:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 16:24:03,723:INFO:Checking exceptions
- 2022-04-07 16:24:03,724:INFO:Preloading libraries
- 2022-04-07 16:24:13,288:INFO:Initializing predict_model()
- 2022-04-07 16:24:13,288:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 16:24:13,288:INFO:Checking exceptions
- 2022-04-07 16:24:13,288:INFO:Preloading libraries
- 2022-04-07 16:24:33,763:INFO:Initializing predict_model()
- 2022-04-07 16:24:33,764:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-07 16:24:33,764:INFO:Checking exceptions
- 2022-04-07 16:24:33,764:INFO:Preloading libraries
- 2022-04-07 16:24:42,024:INFO:Initializing predict_model()
- 2022-04-07 16:24:42,024:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:24:42,024:INFO:Checking exceptions
- 2022-04-07 16:24:42,024:INFO:Preloading libraries
- 2022-04-07 16:25:39,950:INFO:Initializing predict_model()
- 2022-04-07 16:25:39,950:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:25:39,950:INFO:Checking exceptions
- 2022-04-07 16:25:39,950:INFO:Preloading libraries
- 2022-04-07 16:25:40,987:INFO:Initializing predict_model()
- 2022-04-07 16:25:40,987:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:25:40,987:INFO:Checking exceptions
- 2022-04-07 16:25:40,987:INFO:Preloading libraries
- 2022-04-07 16:25:49,208:INFO:Initializing predict_model()
- 2022-04-07 16:25:49,208:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:25:49,208:INFO:Checking exceptions
- 2022-04-07 16:25:49,208:INFO:Preloading libraries
- 2022-04-07 16:26:16,397:INFO:Initializing predict_model()
- 2022-04-07 16:26:16,397:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:26:16,397:INFO:Checking exceptions
- 2022-04-07 16:26:16,397:INFO:Preloading libraries
- 2022-04-07 16:26:20,150:INFO:Initializing predict_model()
- 2022-04-07 16:26:20,150:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:26:20,150:INFO:Checking exceptions
- 2022-04-07 16:26:20,150:INFO:Preloading libraries
- 2022-04-07 16:27:11,757:INFO:Initializing predict_model()
- 2022-04-07 16:27:11,757:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:27:11,757:INFO:Checking exceptions
- 2022-04-07 16:27:11,757:INFO:Preloading libraries
- 2022-04-07 16:27:15,670:INFO:Initializing predict_model()
- 2022-04-07 16:27:15,670:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:27:15,670:INFO:Checking exceptions
- 2022-04-07 16:27:15,670:INFO:Preloading libraries
- 2022-04-07 16:27:16,206:INFO:Initializing predict_model()
- 2022-04-07 16:27:16,206:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:27:16,206:INFO:Checking exceptions
- 2022-04-07 16:27:16,206:INFO:Preloading libraries
- 2022-04-07 16:27:35,796:INFO:Initializing predict_model()
- 2022-04-07 16:27:35,796:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:27:35,796:INFO:Checking exceptions
- 2022-04-07 16:27:35,797:INFO:Preloading libraries
- 2022-04-07 16:27:39,778:INFO:Initializing predict_model()
- 2022-04-07 16:27:39,779:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:27:39,779:INFO:Checking exceptions
- 2022-04-07 16:27:39,779:INFO:Preloading libraries
- 2022-04-07 16:27:40,336:INFO:Initializing predict_model()
- 2022-04-07 16:27:40,336:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:27:40,336:INFO:Checking exceptions
- 2022-04-07 16:27:40,336:INFO:Preloading libraries
- 2022-04-07 16:28:22,464:INFO:Initializing predict_model()
- 2022-04-07 16:28:22,464:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:28:22,464:INFO:Checking exceptions
- 2022-04-07 16:28:22,464:INFO:Preloading libraries
- 2022-04-07 16:28:29,875:INFO:Initializing predict_model()
- 2022-04-07 16:28:29,875:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:28:29,875:INFO:Checking exceptions
- 2022-04-07 16:28:29,875:INFO:Preloading libraries
- 2022-04-07 16:28:31,568:INFO:Initializing predict_model()
- 2022-04-07 16:28:31,568:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:28:31,568:INFO:Checking exceptions
- 2022-04-07 16:28:31,568:INFO:Preloading libraries
- 2022-04-07 16:35:12,071:INFO:Initializing load_model()
- 2022-04-07 16:35:12,072:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-07 16:38:05,643:INFO:Initializing predict_model()
- 2022-04-07 16:38:05,643:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:05,643:INFO:Checking exceptions
- 2022-04-07 16:38:05,643:INFO:Preloading libraries
- 2022-04-07 16:38:13,148:INFO:Initializing predict_model()
- 2022-04-07 16:38:13,148:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:13,148:INFO:Checking exceptions
- 2022-04-07 16:38:13,148:INFO:Preloading libraries
- 2022-04-07 16:38:42,606:INFO:Initializing predict_model()
- 2022-04-07 16:38:42,606:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:42,606:INFO:Checking exceptions
- 2022-04-07 16:38:42,606:INFO:Preloading libraries
- 2022-04-07 16:38:44,766:INFO:Initializing predict_model()
- 2022-04-07 16:38:44,767:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:44,767:INFO:Checking exceptions
- 2022-04-07 16:38:44,767:INFO:Preloading libraries
- 2022-04-07 16:38:46,927:INFO:Initializing predict_model()
- 2022-04-07 16:38:46,927:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:46,927:INFO:Checking exceptions
- 2022-04-07 16:38:46,928:INFO:Preloading libraries
- 2022-04-07 16:38:49,086:INFO:Initializing predict_model()
- 2022-04-07 16:38:49,086:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:49,086:INFO:Checking exceptions
- 2022-04-07 16:38:49,086:INFO:Preloading libraries
- 2022-04-07 16:38:51,248:INFO:Initializing predict_model()
- 2022-04-07 16:38:51,248:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:51,248:INFO:Checking exceptions
- 2022-04-07 16:38:51,248:INFO:Preloading libraries
- 2022-04-07 16:38:53,392:INFO:Initializing predict_model()
- 2022-04-07 16:38:53,392:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:53,393:INFO:Checking exceptions
- 2022-04-07 16:38:53,393:INFO:Preloading libraries
- 2022-04-07 16:38:55,551:INFO:Initializing predict_model()
- 2022-04-07 16:38:55,551:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:55,551:INFO:Checking exceptions
- 2022-04-07 16:38:55,551:INFO:Preloading libraries
- 2022-04-07 16:38:57,695:INFO:Initializing predict_model()
- 2022-04-07 16:38:57,696:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:57,696:INFO:Checking exceptions
- 2022-04-07 16:38:57,696:INFO:Preloading libraries
- 2022-04-07 16:38:59,855:INFO:Initializing predict_model()
- 2022-04-07 16:38:59,855:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:38:59,855:INFO:Checking exceptions
- 2022-04-07 16:38:59,855:INFO:Preloading libraries
- 2022-04-07 16:39:02,026:INFO:Initializing predict_model()
- 2022-04-07 16:39:02,026:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:39:02,026:INFO:Checking exceptions
- 2022-04-07 16:39:02,026:INFO:Preloading libraries
- 2022-04-07 16:40:09,718:INFO:Initializing predict_model()
- 2022-04-07 16:40:09,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:09,718:INFO:Checking exceptions
- 2022-04-07 16:40:09,718:INFO:Preloading libraries
- 2022-04-07 16:40:11,867:INFO:Initializing predict_model()
- 2022-04-07 16:40:11,867:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:11,868:INFO:Checking exceptions
- 2022-04-07 16:40:11,868:INFO:Preloading libraries
- 2022-04-07 16:40:14,015:INFO:Initializing predict_model()
- 2022-04-07 16:40:14,015:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:14,015:INFO:Checking exceptions
- 2022-04-07 16:40:14,015:INFO:Preloading libraries
- 2022-04-07 16:40:16,179:INFO:Initializing predict_model()
- 2022-04-07 16:40:16,179:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:16,180:INFO:Checking exceptions
- 2022-04-07 16:40:16,180:INFO:Preloading libraries
- 2022-04-07 16:40:18,337:INFO:Initializing predict_model()
- 2022-04-07 16:40:18,338:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:18,338:INFO:Checking exceptions
- 2022-04-07 16:40:18,338:INFO:Preloading libraries
- 2022-04-07 16:40:20,480:INFO:Initializing predict_model()
- 2022-04-07 16:40:20,480:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:20,480:INFO:Checking exceptions
- 2022-04-07 16:40:20,480:INFO:Preloading libraries
- 2022-04-07 16:40:22,629:INFO:Initializing predict_model()
- 2022-04-07 16:40:22,630:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:22,630:INFO:Checking exceptions
- 2022-04-07 16:40:22,630:INFO:Preloading libraries
- 2022-04-07 16:40:24,779:INFO:Initializing predict_model()
- 2022-04-07 16:40:24,779:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:24,779:INFO:Checking exceptions
- 2022-04-07 16:40:24,779:INFO:Preloading libraries
- 2022-04-07 16:40:26,943:INFO:Initializing predict_model()
- 2022-04-07 16:40:26,943:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:26,943:INFO:Checking exceptions
- 2022-04-07 16:40:26,943:INFO:Preloading libraries
- 2022-04-07 16:40:29,086:INFO:Initializing predict_model()
- 2022-04-07 16:40:29,086:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:29,086:INFO:Checking exceptions
- 2022-04-07 16:40:29,086:INFO:Preloading libraries
- 2022-04-07 16:40:57,487:INFO:Initializing predict_model()
- 2022-04-07 16:40:57,488:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:57,488:INFO:Checking exceptions
- 2022-04-07 16:40:57,488:INFO:Preloading libraries
- 2022-04-07 16:40:59,634:INFO:Initializing predict_model()
- 2022-04-07 16:40:59,634:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:40:59,634:INFO:Checking exceptions
- 2022-04-07 16:40:59,634:INFO:Preloading libraries
- 2022-04-07 16:41:01,792:INFO:Initializing predict_model()
- 2022-04-07 16:41:01,792:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:41:01,792:INFO:Checking exceptions
- 2022-04-07 16:41:01,792:INFO:Preloading libraries
- 2022-04-07 16:41:03,952:INFO:Initializing predict_model()
- 2022-04-07 16:41:03,952:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:41:03,952:INFO:Checking exceptions
- 2022-04-07 16:41:03,953:INFO:Preloading libraries
- 2022-04-07 16:41:06,105:INFO:Initializing predict_model()
- 2022-04-07 16:41:06,105:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:41:06,105:INFO:Checking exceptions
- 2022-04-07 16:41:06,105:INFO:Preloading libraries
- 2022-04-07 16:41:08,254:INFO:Initializing predict_model()
- 2022-04-07 16:41:08,255:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:41:08,255:INFO:Checking exceptions
- 2022-04-07 16:41:08,255:INFO:Preloading libraries
- 2022-04-07 16:41:10,415:INFO:Initializing predict_model()
- 2022-04-07 16:41:10,415:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:41:10,415:INFO:Checking exceptions
- 2022-04-07 16:41:10,415:INFO:Preloading libraries
- 2022-04-07 16:41:12,563:INFO:Initializing predict_model()
- 2022-04-07 16:41:12,563:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:41:12,564:INFO:Checking exceptions
- 2022-04-07 16:41:12,564:INFO:Preloading libraries
- 2022-04-07 16:41:14,701:INFO:Initializing predict_model()
- 2022-04-07 16:41:14,701:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:41:14,702:INFO:Checking exceptions
- 2022-04-07 16:41:14,702:INFO:Preloading libraries
- 2022-04-07 16:41:16,845:INFO:Initializing predict_model()
- 2022-04-07 16:41:16,846:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-07 16:41:16,846:INFO:Checking exceptions
- 2022-04-07 16:41:16,846:INFO:Preloading libraries
- 2022-04-07 16:45:12,103:INFO:PyCaret Supervised Module
- 2022-04-07 16:45:12,103:INFO:ML Usecase: classification
- 2022-04-07 16:45:12,104:INFO:version 2.3.6
- 2022-04-07 16:45:12,104:INFO:Initializing setup()
- 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)
- 2022-04-07 16:45:12,104:INFO:Checking environment
- 2022-04-07 16:45:12,104:INFO:python_version: 3.8.8
- 2022-04-07 16:45:12,105:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-04-07 16:45:12,105:INFO:machine: x86_64
- 2022-04-07 16:45:12,105:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-04-07 16:45:12,106:INFO:Physical Core: 16
- 2022-04-07 16:45:12,106:INFO:Logical Core: 32
- 2022-04-07 16:45:12,106:INFO:Checking libraries
- 2022-04-07 16:45:12,107:INFO:pd==1.3.0
- 2022-04-07 16:45:12,107:INFO:numpy==1.22.3
- 2022-04-07 16:45:12,107:INFO:sklearn==0.23.2
- 2022-04-07 16:45:12,107:INFO:lightgbm==3.3.2
- 2022-04-07 16:45:12,108:WARNING:catboost not found
- 2022-04-07 16:45:12,178:INFO:xgboost==1.4.2
- 2022-04-07 16:45:12,377:INFO:mlflow==1.22.0
- 2022-04-07 16:45:12,378:INFO:Checking Exceptions
- 2022-04-07 16:45:12,379:INFO:Declaring global variables
- 2022-04-07 16:45:12,380:INFO:USI: 87a4
- 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'}
- 2022-04-07 16:45:12,380:INFO:Preparing display monitor
- 2022-04-07 16:45:12,380:INFO:Preparing display monitor
- 2022-04-07 16:45:12,391:INFO:Importing libraries
- 2022-04-07 16:45:12,391:INFO:Copying data for preprocessing
- 2022-04-07 16:45:12,398:INFO:Declaring preprocessing parameters
- 2022-04-07 16:45:12,399:WARNING:cuML not found
- 2022-04-07 16:45:12,399:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-04-07 16:45:12,403:INFO:Creating preprocessing pipeline
- 2022-04-07 16:45:12,440:INFO:Preprocessing pipeline created successfully
- 2022-04-07 16:45:12,440:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 16:45:12,440:INFO:Creating global containers
- 2022-04-07 16:45:12,441:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 16:45:14,364:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-07 16:45:14,392:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-07 16:45:14,394:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-07 16:45:14,395:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-07 16:45:14,411:WARNING:Couldn't import cuml.linear_model
- 2022-04-07 16:45:14,414:WARNING:Couldn't import cuml.ensemble
- 2022-04-07 16:45:14,441:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 16:45:14,443:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-07 16:45:14,473:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-07 16:45:14,474:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-07 16:45:14,475:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-07 16:45:14,489:WARNING:Couldn't import cuml.linear_model
- 2022-04-07 16:45:14,492:WARNING:Couldn't import cuml.ensemble
- 2022-04-07 16:45:14,497:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 16:45:14,498:INFO:Creating grid variables
- 2022-04-07 16:45:14,506:INFO:create_model_container: 0
- 2022-04-07 16:45:14,506:INFO:master_model_container: 0
- 2022-04-07 16:45:14,507:INFO:display_container: 1
- 2022-04-07 16:45:14,509:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 16:45:14,509:INFO:setup() succesfully completed......................................
- 2022-04-07 16:45:17,504:INFO:Initializing create_model()
- 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})
- 2022-04-07 16:45:17,504:INFO:Checking exceptions
- 2022-04-07 16:45:17,504:INFO:Preparing display monitor
- 2022-04-07 16:45:17,515:INFO:Importing libraries
- 2022-04-07 16:45:17,515:INFO:Copying training dataset
- 2022-04-07 16:45:17,516:INFO:Defining folds
- 2022-04-07 16:45:17,517:INFO:Declaring metric variables
- 2022-04-07 16:45:17,522:INFO:Importing untrained model
- 2022-04-07 16:45:17,527:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-07 16:45:17,537:INFO:Starting cross validation
- 2022-04-07 16:45:17,538:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-07 16:45:18,608:INFO:Calculating mean and std
- 2022-04-07 16:45:18,609:INFO:Creating metrics dataframe
- 2022-04-07 16:45:18,615:INFO:Finalizing model
- 2022-04-07 16:45:28,353:INFO:PyCaret Supervised Module
- 2022-04-07 16:45:28,353:INFO:ML Usecase: classification
- 2022-04-07 16:45:28,353:INFO:version 2.3.6
- 2022-04-07 16:45:28,353:INFO:Initializing setup()
- 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)
- 2022-04-07 16:45:28,354:INFO:Checking environment
- 2022-04-07 16:45:28,354:INFO:python_version: 3.8.8
- 2022-04-07 16:45:28,354:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-04-07 16:45:28,354:INFO:machine: x86_64
- 2022-04-07 16:45:28,354:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-04-07 16:45:28,355:INFO:Physical Core: 16
- 2022-04-07 16:45:28,356:INFO:Logical Core: 32
- 2022-04-07 16:45:28,356:INFO:Checking libraries
- 2022-04-07 16:45:28,356:INFO:pd==1.3.0
- 2022-04-07 16:45:28,356:INFO:numpy==1.22.3
- 2022-04-07 16:45:28,356:INFO:sklearn==0.23.2
- 2022-04-07 16:45:28,356:INFO:lightgbm==3.3.2
- 2022-04-07 16:45:28,357:WARNING:catboost not found
- 2022-04-07 16:45:28,357:INFO:xgboost==1.4.2
- 2022-04-07 16:45:28,357:INFO:mlflow==1.22.0
- 2022-04-07 16:45:28,357:INFO:Checking Exceptions
- 2022-04-07 16:45:28,357:INFO:Declaring global variables
- 2022-04-07 16:45:28,358:INFO:USI: 8161
- 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'}
- 2022-04-07 16:45:28,358:INFO:Preparing display monitor
- 2022-04-07 16:45:28,358:INFO:Preparing display monitor
- 2022-04-07 16:45:28,365:INFO:Importing libraries
- 2022-04-07 16:45:28,365:INFO:Copying data for preprocessing
- 2022-04-07 16:45:28,370:INFO:Declaring preprocessing parameters
- 2022-04-07 16:45:28,373:INFO:Creating preprocessing pipeline
- 2022-04-07 16:45:28,411:INFO:Preprocessing pipeline created successfully
- 2022-04-07 16:45:28,411:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-07 16:45:28,411:INFO:Creating global containers
- 2022-04-07 16:45:28,412:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-07 16:45:30,117:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 16:45:30,164:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-07 16:45:30,164:INFO:Creating grid variables
- 2022-04-07 16:45:30,172:INFO:create_model_container: 0
- 2022-04-07 16:45:30,172:INFO:master_model_container: 0
- 2022-04-07 16:45:30,172:INFO:display_container: 1
- 2022-04-07 16:45:30,175:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-07 16:45:30,175:INFO:setup() succesfully completed......................................
- 2022-04-07 16:45:32,734:INFO:Initializing create_model()
- 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})
- 2022-04-07 16:45:32,735:INFO:Checking exceptions
- 2022-04-07 16:45:32,735:INFO:Preparing display monitor
- 2022-04-07 16:45:32,745:INFO:Importing libraries
- 2022-04-07 16:45:32,745:INFO:Copying training dataset
- 2022-04-07 16:45:32,746:INFO:Defining folds
- 2022-04-07 16:45:32,746:INFO:Declaring metric variables
- 2022-04-07 16:45:32,752:INFO:Importing untrained model
- 2022-04-07 16:45:32,757:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-07 16:45:32,767:INFO:Starting cross validation
- 2022-04-07 16:45:32,768:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-04-07 16:57:04,609:INFO:Calculating mean and std
- 2022-04-07 16:57:04,610:INFO:Creating metrics dataframe
- 2022-04-07 16:57:04,618:INFO:Finalizing model
- 2022-04-07 16:57:17,961:INFO:Uploading results into container
- 2022-04-07 16:57:17,961:INFO:Uploading model into container now
- 2022-04-07 16:57:17,969:INFO:create_model_container: 1
- 2022-04-07 16:57:17,970:INFO:master_model_container: 1
- 2022-04-07 16:57:17,970:INFO:display_container: 2
- 2022-04-07 16:57:17,971:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,
- importance_type='gain', interaction_constraints='',
- learning_rate=0.300000012, max_delta_step=0, max_depth=8,
- max_leaves=256, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='auto', use_label_encoder=True,
- validate_parameters=1, verbosity=0)
- 2022-04-07 16:57:17,972:INFO:create_model() succesfully completed......................................
- 2022-04-07 16:59:04,954:INFO:Initializing tune_model()
- 2022-04-07 16:59:04,954:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,
- importance_type='gain', interaction_constraints='',
- learning_rate=0.300000012, max_delta_step=0, max_depth=8,
- max_leaves=256, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='auto', 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, kwargs={})
- 2022-04-07 16:59:04,954:INFO:Checking exceptions
- 2022-04-07 16:59:04,955:INFO:Preparing display monitor
- 2022-04-07 16:59:04,965:INFO:Copying training dataset
- 2022-04-07 16:59:04,966:INFO:Checking base model
- 2022-04-07 16:59:04,967:INFO:Base model : Extreme Gradient Boosting
- 2022-04-07 16:59:04,973:INFO:Declaring metric variables
- 2022-04-07 16:59:04,978:INFO:Defining Hyperparameters
- 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]}
- 2022-04-07 16:59:05,066:INFO:Tuning with n_jobs=-1
- 2022-04-07 16:59:05,066:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-04-07 18:08:24,305:INFO:Hyperparameter search completed
- 2022-04-07 18:08:24,305:INFO:SubProcess create_model() called ==================================
- 2022-04-07 18:08:24,306:INFO:Initializing create_model()
- 2022-04-07 18:08:24,306:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,
- importance_type='gain', interaction_constraints='',
- learning_rate=0.300000012, max_delta_step=0, max_depth=8,
- max_leaves=256, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='auto', 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 0x7f8fb7a1e7c0>, kwargs={'max_leaves': 1024, 'max_depth': 128, 'learning_rate': 0.005, 'colsample_bytree': 0.8})
- 2022-04-07 18:08:24,307:INFO:Checking exceptions
- 2022-04-07 18:08:24,307:INFO:Importing libraries
- 2022-04-07 18:08:24,307:INFO:Copying training dataset
- 2022-04-07 18:08:24,308:INFO:Defining folds
- 2022-04-07 18:08:24,309:INFO:Declaring metric variables
- 2022-04-07 18:08:24,314:INFO:Importing untrained model
- 2022-04-07 18:08:24,314:INFO:Declaring custom model
- 2022-04-07 18:08:24,319:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-07 18:08:24,327:INFO:Starting cross validation
- 2022-04-07 18:08:24,329:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-04-07 18:44:54,464:INFO:Calculating mean and std
- 2022-04-07 18:44:54,466:INFO:Creating metrics dataframe
- 2022-04-07 18:44:54,473:INFO:Finalizing model
- 2022-04-07 18:44:58,910:INFO:Uploading results into container
- 2022-04-07 18:44:58,910:INFO:Uploading model into container now
- 2022-04-07 18:44:58,911:INFO:create_model_container: 2
- 2022-04-07 18:44:58,911:INFO:master_model_container: 2
- 2022-04-07 18:44:58,911:INFO:display_container: 3
- 2022-04-07 18:44:58,912:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
- importance_type='gain', interaction_constraints='',
- learning_rate=0.005, max_delta_step=0, max_depth=128,
- max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='auto', use_label_encoder=True,
- validate_parameters=1, verbosity=0)
- 2022-04-07 18:44:58,912:INFO:create_model() succesfully completed......................................
- 2022-04-07 18:44:58,988:INFO:SubProcess create_model() end ==================================
- 2022-04-07 18:44:58,996:INFO:create_model_container: 2
- 2022-04-07 18:44:58,996:INFO:master_model_container: 2
- 2022-04-07 18:44:58,996:INFO:display_container: 3
- 2022-04-07 18:44:58,998:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
- importance_type='gain', interaction_constraints='',
- learning_rate=0.005, max_delta_step=0, max_depth=128,
- max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='auto', use_label_encoder=True,
- validate_parameters=1, verbosity=0)
- 2022-04-07 18:44:58,998:INFO:tune_model() succesfully completed......................................
- 2022-04-08 08:01:05,877:INFO:Initializing finalize_model()
- 2022-04-08 08:01:05,877:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
- importance_type='gain', interaction_constraints='',
- learning_rate=0.005, max_delta_step=0, max_depth=128,
- max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='auto', use_label_encoder=True,
- validate_parameters=1, verbosity=0), fit_kwargs=None, groups=None, model_only=True, display=None)
- 2022-04-08 08:01:05,878:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
- importance_type='gain', interaction_constraints='',
- learning_rate=0.005, max_delta_step=0, max_depth=128,
- max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='auto', use_label_encoder=True,
- validate_parameters=1, verbosity=0)
- 2022-04-08 08:01:05,879:INFO:Initializing create_model()
- 2022-04-08 08:01:05,879:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8, gamma=0, gpu_id=-1,
- importance_type='gain', interaction_constraints='',
- learning_rate=0.005, max_delta_step=0, max_depth=128,
- max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- random_state=5945, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='auto', use_label_encoder=True,
- 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={})
- 2022-04-08 08:01:05,879:INFO:Checking exceptions
- 2022-04-08 08:01:05,880:INFO:Importing libraries
- 2022-04-08 08:01:05,880:INFO:Copying training dataset
- 2022-04-08 08:01:05,881:INFO:Defining folds
- 2022-04-08 08:01:05,881:INFO:Declaring metric variables
- 2022-04-08 08:01:05,881:INFO:Importing untrained model
- 2022-04-08 08:01:05,881:INFO:Declaring custom model
- 2022-04-08 08:01:05,882:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-08 08:01:05,882:INFO:Starting cross validation
- 2022-04-08 08:01:05,883:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-04-08 08:36:59,845:INFO:PyCaret Supervised Module
- 2022-04-08 08:36:59,846:INFO:ML Usecase: classification
- 2022-04-08 08:36:59,847:INFO:version 2.3.9
- 2022-04-08 08:36:59,847:INFO:Initializing setup()
- 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)
- 2022-04-08 08:36:59,847:INFO:Checking environment
- 2022-04-08 08:36:59,848:INFO:python_version: 3.8.13
- 2022-04-08 08:36:59,848:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-08 08:36:59,848:INFO:machine: x86_64
- 2022-04-08 08:36:59,848:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-08 08:36:59,849:INFO:Physical Core: 16
- 2022-04-08 08:36:59,849:INFO:Logical Core: 32
- 2022-04-08 08:36:59,849:INFO:Checking libraries
- 2022-04-08 08:36:59,850:INFO:pd==1.4.2
- 2022-04-08 08:36:59,850:INFO:numpy==1.19.5
- 2022-04-08 08:36:59,850:INFO:sklearn==0.23.2
- 2022-04-08 08:36:59,850:INFO:lightgbm==3.3.2
- 2022-04-08 08:36:59,851:WARNING:catboost not found
- 2022-04-08 08:36:59,899:INFO:xgboost==1.5.2
- 2022-04-08 08:36:59,899:INFO:mlflow==1.24.0
- 2022-04-08 08:36:59,899:INFO:Checking Exceptions
- 2022-04-08 08:36:59,900:INFO:Declaring global variables
- 2022-04-08 08:36:59,900:INFO:USI: d31a
- 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'}
- 2022-04-08 08:36:59,901:INFO:Preparing display monitor
- 2022-04-08 08:36:59,901:INFO:Preparing display monitor
- 2022-04-08 08:36:59,911:INFO:Importing libraries
- 2022-04-08 08:36:59,911:INFO:Copying data for preprocessing
- 2022-04-08 08:36:59,917:INFO:Declaring preprocessing parameters
- 2022-04-08 08:36:59,917:WARNING:cuML not found
- 2022-04-08 08:36:59,917:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-04-08 08:36:59,922:INFO:Creating preprocessing pipeline
- 2022-04-08 08:36:59,951:INFO:Preprocessing pipeline created successfully
- 2022-04-08 08:36:59,951:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 08:36:59,951:INFO:Creating global containers
- 2022-04-08 08:36:59,952:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 08:37:01,954:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-08 08:37:01,982:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-08 08:37:01,985:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-08 08:37:01,986:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-08 08:37:02,008:WARNING:Couldn't import cuml.linear_model
- 2022-04-08 08:37:02,012:WARNING:Couldn't import cuml.ensemble
- 2022-04-08 08:37:02,075:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 08:37:02,076:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-08 08:37:02,106:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-08 08:37:02,106:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-08 08:37:02,107:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-08 08:37:02,122:WARNING:Couldn't import cuml.linear_model
- 2022-04-08 08:37:02,125:WARNING:Couldn't import cuml.ensemble
- 2022-04-08 08:37:02,130:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 08:37:02,130:INFO:Creating grid variables
- 2022-04-08 08:37:02,141:INFO:create_model_container: 0
- 2022-04-08 08:37:02,142:INFO:master_model_container: 0
- 2022-04-08 08:37:02,142:INFO:display_container: 1
- 2022-04-08 08:37:02,144:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 08:37:02,145:INFO:setup() succesfully completed......................................
- 2022-04-08 08:37:09,015:INFO:Initializing create_model()
- 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})
- 2022-04-08 08:37:09,015:INFO:Checking exceptions
- 2022-04-08 08:37:09,016:INFO:Preparing display monitor
- 2022-04-08 08:37:09,025:INFO:Importing libraries
- 2022-04-08 08:37:09,025:INFO:Copying training dataset
- 2022-04-08 08:37:09,026:INFO:Defining folds
- 2022-04-08 08:37:09,026:INFO:Declaring metric variables
- 2022-04-08 08:37:09,030:INFO:Importing untrained model
- 2022-04-08 08:37:09,035:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-08 08:37:09,044:INFO:Starting cross validation
- 2022-04-08 08:37:09,044:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-08 08:37:11,993:INFO:Calculating mean and std
- 2022-04-08 08:37:11,994:INFO:Creating metrics dataframe
- 2022-04-08 08:37:12,002:INFO:Finalizing model
- 2022-04-08 08:38:10,536:INFO:Initializing create_model()
- 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={})
- 2022-04-08 08:38:10,537:INFO:Checking exceptions
- 2022-04-08 08:38:10,537:INFO:Preparing display monitor
- 2022-04-08 08:38:10,546:INFO:Importing libraries
- 2022-04-08 08:38:10,546:INFO:Copying training dataset
- 2022-04-08 08:38:10,547:INFO:Defining folds
- 2022-04-08 08:38:10,547:INFO:Declaring metric variables
- 2022-04-08 08:38:10,552:INFO:Importing untrained model
- 2022-04-08 08:38:10,556:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-08 08:38:10,565:INFO:Starting cross validation
- 2022-04-08 08:38:10,565:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-08 08:38:10,691:INFO:Calculating mean and std
- 2022-04-08 08:38:10,692:INFO:Creating metrics dataframe
- 2022-04-08 08:38:10,698:INFO:Finalizing model
- 2022-04-08 08:41:15,159:INFO:PyCaret Supervised Module
- 2022-04-08 08:41:15,160:INFO:ML Usecase: classification
- 2022-04-08 08:41:15,160:INFO:version 2.3.9
- 2022-04-08 08:41:15,160:INFO:Initializing setup()
- 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)
- 2022-04-08 08:41:15,160:INFO:Checking environment
- 2022-04-08 08:41:15,160:INFO:python_version: 3.8.12
- 2022-04-08 08:41:15,160:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-04-08 08:41:15,160:INFO:machine: AMD64
- 2022-04-08 08:41:15,160:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-04-08 08:41:15,160:INFO:Memory: svmem(total=68629368832, available=50016399360, percent=27.1, used=18612969472, free=50016399360)
- 2022-04-08 08:41:15,160:INFO:Physical Core: 16
- 2022-04-08 08:41:15,160:INFO:Logical Core: 32
- 2022-04-08 08:41:15,160:INFO:Checking libraries
- 2022-04-08 08:41:15,160:INFO:pd==1.4.2
- 2022-04-08 08:41:15,160:INFO:numpy==1.20.3
- 2022-04-08 08:41:15,160:INFO:sklearn==0.23.2
- 2022-04-08 08:41:15,160:INFO:lightgbm==3.3.2
- 2022-04-08 08:41:15,440:INFO:catboost==1.0.4
- 2022-04-08 08:41:15,701:INFO:xgboost==1.5.2
- 2022-04-08 08:41:15,701:INFO:mlflow==1.23.1
- 2022-04-08 08:41:15,701:INFO:Checking Exceptions
- 2022-04-08 08:41:15,701:INFO:Declaring global variables
- 2022-04-08 08:41:15,701:INFO:USI: c1be
- 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'}
- 2022-04-08 08:41:15,702:INFO:Preparing display monitor
- 2022-04-08 08:41:15,702:INFO:Preparing display monitor
- 2022-04-08 08:41:15,711:INFO:Importing libraries
- 2022-04-08 08:41:15,711:INFO:Copying data for preprocessing
- 2022-04-08 08:41:15,716:INFO:Declaring preprocessing parameters
- 2022-04-08 08:41:15,716:WARNING:cuML not found
- 2022-04-08 08:41:15,716:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-04-08 08:41:15,719:INFO:Creating preprocessing pipeline
- 2022-04-08 08:41:15,761:INFO:Preprocessing pipeline created successfully
- 2022-04-08 08:41:15,761:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 08:41:15,761:INFO:Creating global containers
- 2022-04-08 08:41:15,762:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 08:41:18,348:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-08 08:41:18,380:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-08 08:41:18,382:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-08 08:41:18,383:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-08 08:41:18,403:WARNING:Couldn't import cuml.linear_model
- 2022-04-08 08:41:18,407:WARNING:Couldn't import cuml.ensemble
- 2022-04-08 08:41:18,822:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-08 08:41:18,883:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-08 08:41:18,884:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-08 08:41:18,885:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-08 08:41:18,915:WARNING:Couldn't import cuml.linear_model
- 2022-04-08 08:41:18,920:WARNING:Couldn't import cuml.ensemble
- 2022-04-08 08:41:19,061:INFO:Creating grid variables
- 2022-04-08 08:41:19,073:INFO:create_model_container: 0
- 2022-04-08 08:41:19,074:INFO:master_model_container: 0
- 2022-04-08 08:41:19,074:INFO:display_container: 1
- 2022-04-08 08:41:19,079:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 08:41:19,080:INFO:setup() succesfully completed......................................
- 2022-04-08 08:41:21,389:INFO:Initializing create_model()
- 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={})
- 2022-04-08 08:41:21,389:INFO:Checking exceptions
- 2022-04-08 08:41:21,389:INFO:Preparing display monitor
- 2022-04-08 08:41:21,400:INFO:Importing libraries
- 2022-04-08 08:41:21,400:INFO:Copying training dataset
- 2022-04-08 08:41:21,401:INFO:Defining folds
- 2022-04-08 08:41:21,401:INFO:Declaring metric variables
- 2022-04-08 08:41:21,406:INFO:Importing untrained model
- 2022-04-08 08:41:21,411:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-08 08:41:21,421:INFO:Starting cross validation
- 2022-04-08 08:41:21,422:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-08 08:41:27,464:INFO:Calculating mean and std
- 2022-04-08 08:41:27,465:INFO:Creating metrics dataframe
- 2022-04-08 08:41:27,473:INFO:Finalizing model
- 2022-04-08 08:41:27,969:INFO:Uploading results into container
- 2022-04-08 08:41:27,969:INFO:Uploading model into container now
- 2022-04-08 08:41:27,974:INFO:create_model_container: 1
- 2022-04-08 08:41:27,974:INFO:master_model_container: 1
- 2022-04-08 08:41:27,974:INFO:display_container: 2
- 2022-04-08 08:41:27,976:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-04-08 08:41:27,976:INFO:create_model() succesfully completed......................................
- 2022-04-08 08:41:42,701:INFO:Initializing tune_model()
- 2022-04-08 08:41:42,701:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-04-08 08:41:42,701:INFO:Checking exceptions
- 2022-04-08 08:41:42,702:INFO:Preparing display monitor
- 2022-04-08 08:41:42,712:INFO:Copying training dataset
- 2022-04-08 08:41:42,713:INFO:Checking base model
- 2022-04-08 08:41:42,713:INFO:Base model : Extreme Gradient Boosting
- 2022-04-08 08:41:42,719:INFO:Declaring metric variables
- 2022-04-08 08:41:42,723:INFO:Defining Hyperparameters
- 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]}
- 2022-04-08 08:41:42,807:INFO:Tuning with n_jobs=1
- 2022-04-08 08:41:42,807:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-04-08 08:45:17,375:INFO:Hyperparameter search completed
- 2022-04-08 08:45:17,375:INFO:SubProcess create_model() called ==================================
- 2022-04-08 08:45:17,376:INFO:Initializing create_model()
- 2022-04-08 08:45:17,376:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-04-08 08:45:17,376:INFO:Checking exceptions
- 2022-04-08 08:45:17,376:INFO:Importing libraries
- 2022-04-08 08:45:17,376:INFO:Copying training dataset
- 2022-04-08 08:45:17,378:INFO:Defining folds
- 2022-04-08 08:45:17,378:INFO:Declaring metric variables
- 2022-04-08 08:45:17,385:INFO:Importing untrained model
- 2022-04-08 08:45:17,385:INFO:Declaring custom model
- 2022-04-08 08:45:17,392:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-08 08:45:17,406:INFO:Starting cross validation
- 2022-04-08 08:45:17,408:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-08 08:46:58,147:INFO:Calculating mean and std
- 2022-04-08 08:46:58,148:INFO:Creating metrics dataframe
- 2022-04-08 08:46:58,156:INFO:Finalizing model
- 2022-04-08 08:47:08,224:INFO:Uploading results into container
- 2022-04-08 08:47:08,224:INFO:Uploading model into container now
- 2022-04-08 08:47:08,224:INFO:create_model_container: 2
- 2022-04-08 08:47:08,224:INFO:master_model_container: 2
- 2022-04-08 08:47:08,224:INFO:display_container: 3
- 2022-04-08 08:47:08,225:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-08 08:47:08,225:INFO:create_model() succesfully completed......................................
- 2022-04-08 08:47:08,291:INFO:SubProcess create_model() end ==================================
- 2022-04-08 08:47:08,305:INFO:create_model_container: 2
- 2022-04-08 08:47:08,305:INFO:master_model_container: 2
- 2022-04-08 08:47:08,305:INFO:display_container: 3
- 2022-04-08 08:47:08,306:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-08 08:47:08,306:INFO:tune_model() succesfully completed......................................
- 2022-04-08 09:32:59,327:INFO:Initializing evaluate_model()
- 2022-04-08 09:32:59,327:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-04-08 09:32:59,342:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-04-08 09:32:59,342:INFO:Checking exceptions
- 2022-04-08 09:32:59,345:INFO:Preparing display monitor
- 2022-04-08 09:32:59,350:INFO:Preloading libraries
- 2022-04-08 09:32:59,628:INFO:Copying training dataset
- 2022-04-08 09:32:59,629:INFO:Copying test dataset
- 2022-04-08 09:32:59,629:INFO:Plot type: parameter
- 2022-04-08 09:32:59,639:INFO:Visual Rendered Successfully
- 2022-04-08 09:32:59,712:INFO:plot_model() succesfully completed......................................
- 2022-04-08 09:33:50,364:INFO:Initializing finalize_model()
- 2022-04-08 09:33:50,364:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-04-08 09:33:50,365:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-08 09:33:50,366:INFO:Initializing create_model()
- 2022-04-08 09:33:50,366:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-04-08 09:33:50,366:INFO:Checking exceptions
- 2022-04-08 09:33:50,366:INFO:Importing libraries
- 2022-04-08 09:33:50,367:INFO:Copying training dataset
- 2022-04-08 09:33:50,368:INFO:Defining folds
- 2022-04-08 09:33:50,368:INFO:Declaring metric variables
- 2022-04-08 09:33:50,368:INFO:Importing untrained model
- 2022-04-08 09:33:50,368:INFO:Declaring custom model
- 2022-04-08 09:33:50,369:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-04-08 09:33:50,369:INFO:Starting cross validation
- 2022-04-08 09:33:50,370:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-04-08 09:35:53,303:INFO:Calculating mean and std
- 2022-04-08 09:35:53,303:INFO:Creating metrics dataframe
- 2022-04-08 09:35:53,305:INFO:Finalizing model
- 2022-04-08 09:36:07,525:INFO:create_model_container: 2
- 2022-04-08 09:36:07,525:INFO:master_model_container: 2
- 2022-04-08 09:36:07,525:INFO:display_container: 4
- 2022-04-08 09:36:07,526:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-08 09:36:07,526:INFO:create_model() succesfully completed......................................
- 2022-04-08 09:36:07,601:INFO:create_model_container: 2
- 2022-04-08 09:36:07,601:INFO:master_model_container: 2
- 2022-04-08 09:36:07,601:INFO:display_container: 3
- 2022-04-08 09:36:07,602:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-04-08 09:36:07,602:INFO:finalize_model() succesfully completed......................................
- 2022-04-08 09:36:07,667:INFO:Initializing save_model()
- 2022-04-08 09:36:07,667:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_239_0408, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-04-08 09:36:07,667:INFO:Adding model into prep_pipe
- 2022-04-08 09:36:07,896:INFO:tuned_xgboost_239_0408.pkl saved in current working directory
- 2022-04-08 09:36:07,903:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 09:36:07,903:INFO:save_model() successfully completed......................................
- 2022-04-08 09:45:30,371:INFO:Initializing load_model()
- 2022-04-08 09:45:30,371:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
- 2022-04-08 09:45:30,519:INFO:Initializing predict_model()
- 2022-04-08 09:45:30,519:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-08 09:45:30,519:INFO:Checking exceptions
- 2022-04-08 09:45:30,519:INFO:Preloading libraries
- 2022-04-08 09:45:30,519:INFO:Preparing display monitor
- 2022-04-08 09:46:41,360:INFO:PyCaret Supervised Module
- 2022-04-08 09:46:41,361:INFO:ML Usecase: classification
- 2022-04-08 09:46:41,361:INFO:version 2.3.9
- 2022-04-08 09:46:41,361:INFO:Initializing setup()
- 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)
- 2022-04-08 09:46:41,361:INFO:Checking environment
- 2022-04-08 09:46:41,361:INFO:python_version: 3.8.12
- 2022-04-08 09:46:41,361:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-04-08 09:46:41,361:INFO:machine: AMD64
- 2022-04-08 09:46:41,361:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-04-08 09:46:41,361:INFO:Memory: svmem(total=68629368832, available=49159352320, percent=28.4, used=19470016512, free=49159352320)
- 2022-04-08 09:46:41,361:INFO:Physical Core: 16
- 2022-04-08 09:46:41,361:INFO:Logical Core: 32
- 2022-04-08 09:46:41,361:INFO:Checking libraries
- 2022-04-08 09:46:41,361:INFO:pd==1.4.2
- 2022-04-08 09:46:41,361:INFO:numpy==1.20.3
- 2022-04-08 09:46:41,361:INFO:sklearn==0.23.2
- 2022-04-08 09:46:41,361:INFO:lightgbm==3.3.2
- 2022-04-08 09:46:41,373:INFO:catboost==1.0.4
- 2022-04-08 09:46:41,465:INFO:xgboost==1.5.2
- 2022-04-08 09:46:41,465:INFO:mlflow==1.23.1
- 2022-04-08 09:46:41,465:INFO:Checking Exceptions
- 2022-04-08 09:46:41,465:INFO:Declaring global variables
- 2022-04-08 09:46:41,465:INFO:USI: 5f9e
- 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'}
- 2022-04-08 09:46:41,465:INFO:Preparing display monitor
- 2022-04-08 09:46:41,465:INFO:Preparing display monitor
- 2022-04-08 09:46:41,475:INFO:Importing libraries
- 2022-04-08 09:46:41,475:INFO:Copying data for preprocessing
- 2022-04-08 09:46:41,480:INFO:Declaring preprocessing parameters
- 2022-04-08 09:46:41,482:INFO:Creating preprocessing pipeline
- 2022-04-08 09:46:41,525:INFO:Preprocessing pipeline created successfully
- 2022-04-08 09:46:41,525:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 09:46:41,525:INFO:Creating global containers
- 2022-04-08 09:46:41,526:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 09:46:44,677:INFO:Creating grid variables
- 2022-04-08 09:46:44,685:INFO:create_model_container: 0
- 2022-04-08 09:46:44,685:INFO:master_model_container: 0
- 2022-04-08 09:46:44,685:INFO:display_container: 1
- 2022-04-08 09:46:44,688:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 09:46:44,688:INFO:setup() succesfully completed......................................
- 2022-04-08 09:46:46,990:INFO:Initializing load_model()
- 2022-04-08 09:46:46,990:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
- 2022-04-08 09:46:50,334:INFO:Initializing predict_model()
- 2022-04-08 09:46:50,335:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-08 09:46:50,335:INFO:Checking exceptions
- 2022-04-08 09:46:50,335:INFO:Preloading libraries
- 2022-04-08 09:46:50,335:INFO:Preparing display monitor
- 2022-04-08 09:52:05,531:INFO:Initializing load_model()
- 2022-04-08 09:52:05,531:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 09:52:35,526:INFO:Initializing get_config()
- 2022-04-08 09:52:35,526:INFO:get_config(variable=prep_pipe)
- 2022-04-08 09:52:35,529:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 09:52:35,529:INFO:get_config() succesfully completed......................................
- 2022-04-08 09:52:35,529:INFO:Initializing get_config()
- 2022-04-08 09:52:35,529:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-08 09:52:35,533:INFO:get_config() succesfully completed......................................
- 2022-04-08 09:52:35,535:INFO:Initializing get_config()
- 2022-04-08 09:52:35,535:INFO:get_config(variable=prep_pipe)
- 2022-04-08 09:52:35,538:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 09:52:35,538:INFO:get_config() succesfully completed......................................
- 2022-04-08 09:52:35,538:INFO:Initializing get_config()
- 2022-04-08 09:52:35,538:INFO:get_config(variable=prep_pipe)
- 2022-04-08 09:52:35,540:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 09:52:35,540:INFO:get_config() succesfully completed......................................
- 2022-04-08 09:52:35,540:INFO:Initializing get_config()
- 2022-04-08 09:52:35,540:INFO:get_config(variable=prep_pipe)
- 2022-04-08 09:52:35,543:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 09:52:35,543:INFO:get_config() succesfully completed......................................
- 2022-04-08 09:52:35,553:INFO:Initializing save_model()
- 2022-04-08 09:52:35,553:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-08 09:52:35,553:INFO:Adding model into prep_pipe
- 2022-04-08 09:52:35,919:WARNING:Only Model saved as it was a pipeline.
- 2022-04-08 09:52:36,157:INFO:my_api.pkl saved in current working directory
- 2022-04-08 09:52:36,164:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 09:52:36,164:INFO:save_model() successfully completed......................................
- 2022-04-08 09:52:59,341:INFO:Initializing load_model()
- 2022-04-08 09:52:59,342:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 09:54:23,742:INFO:Initializing predict_model()
- 2022-04-08 09:54:23,742:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:23,743:INFO:Checking exceptions
- 2022-04-08 09:54:23,743:INFO:Preloading libraries
- 2022-04-08 09:54:25,830:INFO:Initializing predict_model()
- 2022-04-08 09:54:25,830:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:25,830:INFO:Checking exceptions
- 2022-04-08 09:54:25,830:INFO:Preloading libraries
- 2022-04-08 09:54:27,876:INFO:Initializing predict_model()
- 2022-04-08 09:54:27,877:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:27,877:INFO:Checking exceptions
- 2022-04-08 09:54:27,877:INFO:Preloading libraries
- 2022-04-08 09:54:29,933:INFO:Initializing predict_model()
- 2022-04-08 09:54:29,933:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:29,933:INFO:Checking exceptions
- 2022-04-08 09:54:29,933:INFO:Preloading libraries
- 2022-04-08 09:54:31,979:INFO:Initializing predict_model()
- 2022-04-08 09:54:31,979:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:31,979:INFO:Checking exceptions
- 2022-04-08 09:54:31,979:INFO:Preloading libraries
- 2022-04-08 09:54:34,030:INFO:Initializing predict_model()
- 2022-04-08 09:54:34,030:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:34,030:INFO:Checking exceptions
- 2022-04-08 09:54:34,030:INFO:Preloading libraries
- 2022-04-08 09:54:36,076:INFO:Initializing predict_model()
- 2022-04-08 09:54:36,076:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:36,076:INFO:Checking exceptions
- 2022-04-08 09:54:36,076:INFO:Preloading libraries
- 2022-04-08 09:54:38,122:INFO:Initializing predict_model()
- 2022-04-08 09:54:38,122:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:38,122:INFO:Checking exceptions
- 2022-04-08 09:54:38,122:INFO:Preloading libraries
- 2022-04-08 09:54:40,168:INFO:Initializing predict_model()
- 2022-04-08 09:54:40,168:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:40,168:INFO:Checking exceptions
- 2022-04-08 09:54:40,168:INFO:Preloading libraries
- 2022-04-08 09:54:42,224:INFO:Initializing predict_model()
- 2022-04-08 09:54:42,224:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:54:42,224:INFO:Checking exceptions
- 2022-04-08 09:54:42,224:INFO:Preloading libraries
- 2022-04-08 09:55:06,927:INFO:Initializing predict_model()
- 2022-04-08 09:55:06,927:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:55:06,927:INFO:Checking exceptions
- 2022-04-08 09:55:06,927:INFO:Preloading libraries
- 2022-04-08 09:55:45,438:INFO:Initializing predict_model()
- 2022-04-08 09:55:45,438:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:55:45,438:INFO:Checking exceptions
- 2022-04-08 09:55:45,438:INFO:Preloading libraries
- 2022-04-08 09:56:38,122:INFO:Initializing load_model()
- 2022-04-08 09:56:38,123:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 09:56:47,294:INFO:Initializing predict_model()
- 2022-04-08 09:56:47,294:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:56:47,294:INFO:Checking exceptions
- 2022-04-08 09:56:47,294:INFO:Preloading libraries
- 2022-04-08 09:56:51,462:INFO:Initializing predict_model()
- 2022-04-08 09:56:51,462:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:56:51,463:INFO:Checking exceptions
- 2022-04-08 09:56:51,463:INFO:Preloading libraries
- 2022-04-08 09:57:19,864:INFO:Initializing predict_model()
- 2022-04-08 09:57:19,864:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:57:19,864:INFO:Checking exceptions
- 2022-04-08 09:57:19,864:INFO:Preloading libraries
- 2022-04-08 09:57:57,694:INFO:Initializing predict_model()
- 2022-04-08 09:57:57,694:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 09:57:57,695:INFO:Checking exceptions
- 2022-04-08 09:57:57,695:INFO:Preloading libraries
- 2022-04-08 10:08:16,422:INFO:Initializing load_model()
- 2022-04-08 10:08:16,422:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 10:28:05,804:INFO:Initializing load_model()
- 2022-04-08 10:28:05,805:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 10:28:49,924:INFO:Initializing predict_model()
- 2022-04-08 10:28:49,924:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:28:49,924:INFO:Checking exceptions
- 2022-04-08 10:28:49,924:INFO:Preloading libraries
- 2022-04-08 10:28:51,982:INFO:Initializing predict_model()
- 2022-04-08 10:28:51,982:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:28:51,982:INFO:Checking exceptions
- 2022-04-08 10:28:51,982:INFO:Preloading libraries
- 2022-04-08 10:28:54,040:INFO:Initializing predict_model()
- 2022-04-08 10:28:54,040:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:28:54,040:INFO:Checking exceptions
- 2022-04-08 10:28:54,040:INFO:Preloading libraries
- 2022-04-08 10:28:56,088:INFO:Initializing predict_model()
- 2022-04-08 10:28:56,088:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:28:56,088:INFO:Checking exceptions
- 2022-04-08 10:28:56,088:INFO:Preloading libraries
- 2022-04-08 10:28:58,145:INFO:Initializing predict_model()
- 2022-04-08 10:28:58,145:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:28:58,145:INFO:Checking exceptions
- 2022-04-08 10:28:58,145:INFO:Preloading libraries
- 2022-04-08 10:29:00,192:INFO:Initializing predict_model()
- 2022-04-08 10:29:00,192:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:29:00,192:INFO:Checking exceptions
- 2022-04-08 10:29:00,192:INFO:Preloading libraries
- 2022-04-08 10:29:02,234:INFO:Initializing predict_model()
- 2022-04-08 10:29:02,234:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:29:02,234:INFO:Checking exceptions
- 2022-04-08 10:29:02,234:INFO:Preloading libraries
- 2022-04-08 10:29:04,285:INFO:Initializing predict_model()
- 2022-04-08 10:29:04,286:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:29:04,286:INFO:Checking exceptions
- 2022-04-08 10:29:04,286:INFO:Preloading libraries
- 2022-04-08 10:29:06,337:INFO:Initializing predict_model()
- 2022-04-08 10:29:06,337:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:29:06,337:INFO:Checking exceptions
- 2022-04-08 10:29:06,337:INFO:Preloading libraries
- 2022-04-08 10:29:08,391:INFO:Initializing predict_model()
- 2022-04-08 10:29:08,391:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 10:29:08,391:INFO:Checking exceptions
- 2022-04-08 10:29:08,391:INFO:Preloading libraries
- 2022-04-08 11:23:20,741:INFO:Initializing load_model()
- 2022-04-08 11:23:20,741:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 11:23:29,043:INFO:Initializing predict_model()
- 2022-04-08 11:23:29,043:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 11:23:29,043:INFO:Checking exceptions
- 2022-04-08 11:23:29,043:INFO:Preloading libraries
- 2022-04-08 11:23:48,314:INFO:Initializing predict_model()
- 2022-04-08 11:23:48,314:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 11:23:48,314:INFO:Checking exceptions
- 2022-04-08 11:23:48,314:INFO:Preloading libraries
- 2022-04-08 14:19:08,717:INFO:PyCaret Supervised Module
- 2022-04-08 14:19:08,718:INFO:ML Usecase: classification
- 2022-04-08 14:19:08,718:INFO:version 2.3.9
- 2022-04-08 14:19:08,718:INFO:Initializing setup()
- 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)
- 2022-04-08 14:19:08,719:INFO:Checking environment
- 2022-04-08 14:19:08,719:INFO:python_version: 3.8.13
- 2022-04-08 14:19:08,719:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-08 14:19:08,719:INFO:machine: x86_64
- 2022-04-08 14:19:08,719:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-08 14:19:08,720:INFO:Physical Core: 16
- 2022-04-08 14:19:08,720:INFO:Logical Core: 32
- 2022-04-08 14:19:08,720:INFO:Checking libraries
- 2022-04-08 14:19:08,720:INFO:pd==1.4.2
- 2022-04-08 14:19:08,721:INFO:numpy==1.19.5
- 2022-04-08 14:19:08,721:INFO:sklearn==0.23.2
- 2022-04-08 14:19:08,721:INFO:lightgbm==3.3.2
- 2022-04-08 14:19:08,721:WARNING:catboost not found
- 2022-04-08 14:19:08,743:INFO:xgboost==1.5.2
- 2022-04-08 14:19:08,744:INFO:mlflow==1.24.0
- 2022-04-08 14:19:08,744:INFO:Checking Exceptions
- 2022-04-08 14:19:08,744:INFO:Declaring global variables
- 2022-04-08 14:19:08,744:INFO:USI: c791
- 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'}
- 2022-04-08 14:19:08,745:INFO:Preparing display monitor
- 2022-04-08 14:19:08,745:INFO:Preparing display monitor
- 2022-04-08 14:19:08,754:INFO:Importing libraries
- 2022-04-08 14:19:08,754:INFO:Copying data for preprocessing
- 2022-04-08 14:19:08,759:INFO:Declaring preprocessing parameters
- 2022-04-08 14:19:08,763:INFO:Creating preprocessing pipeline
- 2022-04-08 14:19:08,792:INFO:Preprocessing pipeline created successfully
- 2022-04-08 14:19:08,792:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 14:19:08,792:INFO:Creating global containers
- 2022-04-08 14:19:08,793:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 14:19:10,881:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 14:19:10,929:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 14:19:10,930:INFO:Creating grid variables
- 2022-04-08 14:19:10,937:INFO:create_model_container: 0
- 2022-04-08 14:19:10,937:INFO:master_model_container: 0
- 2022-04-08 14:19:10,937:INFO:display_container: 1
- 2022-04-08 14:19:10,940:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:19:10,940:INFO:setup() succesfully completed......................................
- 2022-04-08 14:19:15,948:INFO:Initializing load_model()
- 2022-04-08 14:19:15,949:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
- 2022-04-08 14:19:18,997:INFO:Initializing predict_model()
- 2022-04-08 14:19:18,997:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-08 14:19:18,997:INFO:Checking exceptions
- 2022-04-08 14:19:18,997:INFO:Preloading libraries
- 2022-04-08 14:19:18,998:INFO:Preparing display monitor
- 2022-04-08 14:19:23,424:INFO:Initializing get_config()
- 2022-04-08 14:19:23,424:INFO:get_config(variable=prep_pipe)
- 2022-04-08 14:19:23,426:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:19:23,426:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:19:23,426:INFO:Initializing get_config()
- 2022-04-08 14:19:23,427:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-08 14:19:23,430:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:19:23,432:INFO:Initializing get_config()
- 2022-04-08 14:19:23,432:INFO:get_config(variable=prep_pipe)
- 2022-04-08 14:19:23,434:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:19:23,434:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:19:23,434:INFO:Initializing get_config()
- 2022-04-08 14:19:23,434:INFO:get_config(variable=prep_pipe)
- 2022-04-08 14:19:23,437:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:19:23,437:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:19:23,437:INFO:Initializing get_config()
- 2022-04-08 14:19:23,437:INFO:get_config(variable=prep_pipe)
- 2022-04-08 14:19:23,439:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:19:23,439:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:19:23,447:INFO:Initializing save_model()
- 2022-04-08 14:19:23,447:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-08 14:19:23,448:INFO:Adding model into prep_pipe
- 2022-04-08 14:19:23,624:WARNING:Only Model saved as it was a pipeline.
- 2022-04-08 14:19:23,716:INFO:my_api.pkl saved in current working directory
- 2022-04-08 14:19:23,722:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 14:19:23,722:INFO:save_model() successfully completed......................................
- 2022-04-08 14:21:57,877:INFO:Initializing load_model()
- 2022-04-08 14:21:57,878:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 14:22:09,404:INFO:Initializing predict_model()
- 2022-04-08 14:22:09,404:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 14:22:09,404:INFO:Checking exceptions
- 2022-04-08 14:22:09,404:INFO:Preloading libraries
- 2022-04-08 14:22:53,982:INFO:Initializing predict_model()
- 2022-04-08 14:22:53,982:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 14:22:53,982:INFO:Checking exceptions
- 2022-04-08 14:22:53,983:INFO:Preloading libraries
- 2022-04-08 14:24:21,927:INFO:Initializing load_model()
- 2022-04-08 14:24:21,928:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-04-08 14:24:24,588:INFO:Initializing predict_model()
- 2022-04-08 14:24:24,589:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-08 14:24:24,589:INFO:Checking exceptions
- 2022-04-08 14:24:24,589:INFO:Preloading libraries
- 2022-04-08 14:24:24,589:INFO:Preparing display monitor
- 2022-04-08 14:24:49,895:INFO:Initializing get_config()
- 2022-04-08 14:24:49,896:INFO:get_config(variable=prep_pipe)
- 2022-04-08 14:24:49,899:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:24:49,899:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:24:49,899:INFO:Initializing get_config()
- 2022-04-08 14:24:49,899:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-08 14:24:49,903:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:24:49,904:INFO:Initializing get_config()
- 2022-04-08 14:24:49,904:INFO:get_config(variable=prep_pipe)
- 2022-04-08 14:24:49,907:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:24:49,907:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:24:49,907:INFO:Initializing get_config()
- 2022-04-08 14:24:49,907:INFO:get_config(variable=prep_pipe)
- 2022-04-08 14:24:49,909:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:24:49,910:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:24:49,910:INFO:Initializing get_config()
- 2022-04-08 14:24:49,910:INFO:get_config(variable=prep_pipe)
- 2022-04-08 14:24:49,913:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 14:24:49,913:INFO:get_config() succesfully completed......................................
- 2022-04-08 14:24:49,921:INFO:Initializing save_model()
- 2022-04-08 14:24:49,921:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-08 14:24:49,921:INFO:Adding model into prep_pipe
- 2022-04-08 14:24:50,079:WARNING:Only Model saved as it was a pipeline.
- 2022-04-08 14:24:50,166:INFO:my_api.pkl saved in current working directory
- 2022-04-08 14:24:50,172:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 14:24:50,172:INFO:save_model() successfully completed......................................
- 2022-04-08 14:27:30,669:INFO:Initializing load_model()
- 2022-04-08 14:27:30,669:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 14:27:37,382:INFO:Initializing predict_model()
- 2022-04-08 14:27:37,382:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 14:27:37,382:INFO:Checking exceptions
- 2022-04-08 14:27:37,383:INFO:Preloading libraries
- 2022-04-08 14:27:40,658:INFO:Initializing predict_model()
- 2022-04-08 14:27:40,659:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 14:27:40,659:INFO:Checking exceptions
- 2022-04-08 14:27:40,659:INFO:Preloading libraries
- 2022-04-08 14:34:20,240:INFO:Initializing load_model()
- 2022-04-08 14:34:20,241:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 14:34:25,366:INFO:Initializing predict_model()
- 2022-04-08 14:34:25,366:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 14:34:25,366:INFO:Checking exceptions
- 2022-04-08 14:34:25,366:INFO:Preloading libraries
- 2022-04-08 14:34:27,940:INFO:Initializing predict_model()
- 2022-04-08 14:34:27,940:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 14:34:27,940:INFO:Checking exceptions
- 2022-04-08 14:34:27,941:INFO:Preloading libraries
- 2022-04-08 15:07:16,560:INFO:Initializing load_model()
- 2022-04-08 15:07:16,561:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 15:07:42,234:INFO:Initializing predict_model()
- 2022-04-08 15:07:42,234:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 15:07:42,235:INFO:Checking exceptions
- 2022-04-08 15:07:42,235:INFO:Preloading libraries
- 2022-04-08 16:43:32,804:INFO:PyCaret Supervised Module
- 2022-04-08 16:43:32,805:INFO:ML Usecase: classification
- 2022-04-08 16:43:32,805:INFO:version 2.3.9
- 2022-04-08 16:43:32,805:INFO:Initializing setup()
- 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)
- 2022-04-08 16:43:32,805:INFO:Checking environment
- 2022-04-08 16:43:32,805:INFO:python_version: 3.8.13
- 2022-04-08 16:43:32,805:INFO:python_build: ('default', 'Mar 25 2022 05:59:00')
- 2022-04-08 16:43:32,805:INFO:machine: AMD64
- 2022-04-08 16:43:32,805:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-04-08 16:43:32,805:INFO:Memory: svmem(total=68629368832, available=42869518336, percent=37.5, used=25759850496, free=42869518336)
- 2022-04-08 16:43:32,805:INFO:Physical Core: 16
- 2022-04-08 16:43:32,805:INFO:Logical Core: 32
- 2022-04-08 16:43:32,805:INFO:Checking libraries
- 2022-04-08 16:43:32,805:INFO:pd==1.4.2
- 2022-04-08 16:43:32,805:INFO:numpy==1.19.5
- 2022-04-08 16:43:32,805:INFO:sklearn==0.23.2
- 2022-04-08 16:43:32,805:INFO:lightgbm==3.3.2
- 2022-04-08 16:43:32,806:WARNING:catboost not found
- 2022-04-08 16:43:33,042:INFO:xgboost==1.5.2
- 2022-04-08 16:43:33,042:INFO:mlflow==1.24.0
- 2022-04-08 16:43:33,042:INFO:Checking Exceptions
- 2022-04-08 16:43:33,042:INFO:Declaring global variables
- 2022-04-08 16:43:33,043:INFO:USI: 0a40
- 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'}
- 2022-04-08 16:43:33,043:INFO:Preparing display monitor
- 2022-04-08 16:43:33,043:INFO:Preparing display monitor
- 2022-04-08 16:43:33,052:INFO:Importing libraries
- 2022-04-08 16:43:33,052:INFO:Copying data for preprocessing
- 2022-04-08 16:43:33,057:INFO:Declaring preprocessing parameters
- 2022-04-08 16:43:33,060:INFO:Creating preprocessing pipeline
- 2022-04-08 16:43:33,101:INFO:Preprocessing pipeline created successfully
- 2022-04-08 16:43:33,101:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 16:43:33,102:INFO:Creating global containers
- 2022-04-08 16:43:33,102:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 16:43:35,475:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 16:43:35,530:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 16:43:35,530:INFO:Creating grid variables
- 2022-04-08 16:43:35,538:INFO:create_model_container: 0
- 2022-04-08 16:43:35,538:INFO:master_model_container: 0
- 2022-04-08 16:43:35,538:INFO:display_container: 1
- 2022-04-08 16:43:35,541:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:43:35,541:INFO:setup() succesfully completed......................................
- 2022-04-08 16:43:55,401:INFO:Initializing load_model()
- 2022-04-08 16:43:55,401:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:44:01,139:INFO:Initializing predict_model()
- 2022-04-08 16:44:01,139:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-08 16:44:01,139:INFO:Checking exceptions
- 2022-04-08 16:44:01,139:INFO:Preloading libraries
- 2022-04-08 16:44:01,139:INFO:Preparing display monitor
- 2022-04-08 16:44:22,423:INFO:Initializing get_config()
- 2022-04-08 16:44:22,423:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:44:22,426:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:44:22,426:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:44:22,426:INFO:Initializing get_config()
- 2022-04-08 16:44:22,426:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-08 16:44:22,430:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:44:22,432:INFO:Initializing get_config()
- 2022-04-08 16:44:22,432:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:44:22,434:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:44:22,434:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:44:22,434:INFO:Initializing get_config()
- 2022-04-08 16:44:22,434:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:44:22,436:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:44:22,437:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:44:22,437:INFO:Initializing get_config()
- 2022-04-08 16:44:22,437:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:44:22,439:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:44:22,439:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:44:22,448:INFO:Initializing save_model()
- 2022-04-08 16:44:22,448:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-08 16:44:22,448:INFO:Adding model into prep_pipe
- 2022-04-08 16:44:22,819:WARNING:Only Model saved as it was a pipeline.
- 2022-04-08 16:44:23,052:INFO:my_api.pkl saved in current working directory
- 2022-04-08 16:44:23,059:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 16:44:23,059:INFO:save_model() successfully completed......................................
- 2022-04-08 16:45:11,818:INFO:Initializing load_model()
- 2022-04-08 16:45:11,818:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:45:40,626:INFO:Initializing predict_model()
- 2022-04-08 16:45:40,626:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 16:45:40,626:INFO:Checking exceptions
- 2022-04-08 16:45:40,626:INFO:Preloading libraries
- 2022-04-08 16:45:56,751:INFO:Initializing load_model()
- 2022-04-08 16:45:56,751:INFO:load_model(model_name=tuned_xgboost_orifeature_0407, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:45:59,126:INFO:Initializing predict_model()
- 2022-04-08 16:45:59,126:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-08 16:45:59,126:INFO:Checking exceptions
- 2022-04-08 16:45:59,126:INFO:Preloading libraries
- 2022-04-08 16:45:59,126:INFO:Preparing display monitor
- 2022-04-08 16:46:09,583:INFO:Initializing get_config()
- 2022-04-08 16:46:09,583:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:46:09,586:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:46:09,586:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:09,586:INFO:Initializing get_config()
- 2022-04-08 16:46:09,586:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-08 16:46:09,590:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:09,593:INFO:Initializing get_config()
- 2022-04-08 16:46:09,593:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:46:09,596:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:46:09,596:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:09,596:INFO:Initializing get_config()
- 2022-04-08 16:46:09,596:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:46:09,599:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:46:09,599:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:09,599:INFO:Initializing get_config()
- 2022-04-08 16:46:09,599:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:46:09,601:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:46:09,601:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:09,611:INFO:Initializing save_model()
- 2022-04-08 16:46:09,611:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-08 16:46:09,611:INFO:Adding model into prep_pipe
- 2022-04-08 16:46:09,965:WARNING:Only Model saved as it was a pipeline.
- 2022-04-08 16:46:10,195:INFO:my_api.pkl saved in current working directory
- 2022-04-08 16:46:10,202:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 16:46:10,202:INFO:save_model() successfully completed......................................
- 2022-04-08 16:46:16,869:INFO:Initializing load_model()
- 2022-04-08 16:46:16,870:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:46:23,076:INFO:Initializing predict_model()
- 2022-04-08 16:46:23,076:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 16:46:23,076:INFO:Checking exceptions
- 2022-04-08 16:46:23,076:INFO:Preloading libraries
- 2022-04-08 16:46:39,564:INFO:Initializing load_model()
- 2022-04-08 16:46:39,564:INFO:load_model(model_name=tuned_xgboost_orifeature_0323, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:46:42,170:INFO:Initializing predict_model()
- 2022-04-08 16:46:42,171:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-08 16:46:42,171:INFO:Checking exceptions
- 2022-04-08 16:46:42,171:INFO:Preloading libraries
- 2022-04-08 16:46:42,171:INFO:Preparing display monitor
- 2022-04-08 16:46:51,951:INFO:Initializing get_config()
- 2022-04-08 16:46:51,951:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:46:51,954:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:46:51,954:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:51,954:INFO:Initializing get_config()
- 2022-04-08 16:46:51,954:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-08 16:46:51,958:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:51,960:INFO:Initializing get_config()
- 2022-04-08 16:46:51,961:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:46:51,963:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:46:51,963:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:51,963:INFO:Initializing get_config()
- 2022-04-08 16:46:51,963:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:46:51,966:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:46:51,966:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:51,966:INFO:Initializing get_config()
- 2022-04-08 16:46:51,966:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:46:51,968:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:46:51,968:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:46:51,978:INFO:Initializing save_model()
- 2022-04-08 16:46:51,978:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-08 16:46:51,978:INFO:Adding model into prep_pipe
- 2022-04-08 16:46:52,317:WARNING:Only Model saved as it was a pipeline.
- 2022-04-08 16:46:52,535:INFO:my_api.pkl saved in current working directory
- 2022-04-08 16:46:52,541:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 16:46:52,542:INFO:save_model() successfully completed......................................
- 2022-04-08 16:46:57,590:INFO:Initializing load_model()
- 2022-04-08 16:46:57,590:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:46:59,917:INFO:Initializing predict_model()
- 2022-04-08 16:46:59,917:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=8519, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 16:46:59,917:INFO:Checking exceptions
- 2022-04-08 16:46:59,917:INFO:Preloading libraries
- 2022-04-08 16:47:14,779:INFO:PyCaret Supervised Module
- 2022-04-08 16:47:14,779:INFO:ML Usecase: classification
- 2022-04-08 16:47:14,779:INFO:version 2.3.9
- 2022-04-08 16:47:14,779:INFO:Initializing setup()
- 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)
- 2022-04-08 16:47:14,779:INFO:Checking environment
- 2022-04-08 16:47:14,779:INFO:python_version: 3.8.13
- 2022-04-08 16:47:14,779:INFO:python_build: ('default', 'Mar 25 2022 05:59:00')
- 2022-04-08 16:47:14,779:INFO:machine: AMD64
- 2022-04-08 16:47:14,779:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-04-08 16:47:14,779:INFO:Memory: svmem(total=68629368832, available=42281160704, percent=38.4, used=26348208128, free=42281160704)
- 2022-04-08 16:47:14,779:INFO:Physical Core: 16
- 2022-04-08 16:47:14,779:INFO:Logical Core: 32
- 2022-04-08 16:47:14,779:INFO:Checking libraries
- 2022-04-08 16:47:14,779:INFO:pd==1.4.2
- 2022-04-08 16:47:14,779:INFO:numpy==1.19.5
- 2022-04-08 16:47:14,779:INFO:sklearn==0.23.2
- 2022-04-08 16:47:14,780:INFO:lightgbm==3.3.2
- 2022-04-08 16:47:14,780:WARNING:catboost not found
- 2022-04-08 16:47:14,780:INFO:xgboost==1.5.2
- 2022-04-08 16:47:14,780:INFO:mlflow==1.24.0
- 2022-04-08 16:47:14,780:INFO:Checking Exceptions
- 2022-04-08 16:47:14,780:INFO:Declaring global variables
- 2022-04-08 16:47:14,781:INFO:USI: 0035
- 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'}
- 2022-04-08 16:47:14,781:INFO:Preparing display monitor
- 2022-04-08 16:47:14,781:INFO:Preparing display monitor
- 2022-04-08 16:47:14,788:INFO:Importing libraries
- 2022-04-08 16:47:14,788:INFO:Copying data for preprocessing
- 2022-04-08 16:47:14,793:INFO:Declaring preprocessing parameters
- 2022-04-08 16:47:14,794:WARNING:cuML not found
- 2022-04-08 16:47:14,794:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-04-08 16:47:14,796:INFO:Creating preprocessing pipeline
- 2022-04-08 16:47:14,837:INFO:Preprocessing pipeline created successfully
- 2022-04-08 16:47:14,837:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 16:47:14,837:INFO:Creating global containers
- 2022-04-08 16:47:14,837:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 16:47:17,082:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-08 16:47:17,115:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-08 16:47:17,116:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-08 16:47:17,117:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-08 16:47:17,133:WARNING:Couldn't import cuml.linear_model
- 2022-04-08 16:47:17,137:WARNING:Couldn't import cuml.ensemble
- 2022-04-08 16:47:17,485:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 16:47:17,486:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-04-08 16:47:17,546:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-04-08 16:47:17,548:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-04-08 16:47:17,549:WARNING:Couldn't import cuml.svm.SVC
- 2022-04-08 16:47:17,579:WARNING:Couldn't import cuml.linear_model
- 2022-04-08 16:47:17,586:WARNING:Couldn't import cuml.ensemble
- 2022-04-08 16:47:17,718:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 16:47:17,718:INFO:Creating grid variables
- 2022-04-08 16:47:17,730:INFO:create_model_container: 0
- 2022-04-08 16:47:17,730:INFO:master_model_container: 0
- 2022-04-08 16:47:17,730:INFO:display_container: 1
- 2022-04-08 16:47:17,734:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:47:17,734:INFO:setup() succesfully completed......................................
- 2022-04-08 16:47:28,650:INFO:Initializing load_model()
- 2022-04-08 16:47:28,650:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:47:30,957:INFO:Initializing predict_model()
- 2022-04-08 16:47:30,957:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- 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)
- 2022-04-08 16:47:30,957:INFO:Checking exceptions
- 2022-04-08 16:47:30,957:INFO:Preloading libraries
- 2022-04-08 16:47:30,957:INFO:Preparing display monitor
- 2022-04-08 16:47:34,251:INFO:Initializing get_config()
- 2022-04-08 16:47:34,251:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:47:34,254:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:47:34,254:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:47:34,254:INFO:Initializing get_config()
- 2022-04-08 16:47:34,254:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-08 16:47:34,258:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:47:34,260:INFO:Initializing get_config()
- 2022-04-08 16:47:34,260:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:47:34,264:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:47:34,264:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:47:34,264:INFO:Initializing get_config()
- 2022-04-08 16:47:34,264:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:47:34,266:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:47:34,266:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:47:34,266:INFO:Initializing get_config()
- 2022-04-08 16:47:34,267:INFO:get_config(variable=prep_pipe)
- 2022-04-08 16:47:34,269:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 16:47:34,269:INFO:get_config() succesfully completed......................................
- 2022-04-08 16:47:34,278:INFO:Initializing save_model()
- 2022-04-08 16:47:34,279:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-08 16:47:34,279:INFO:Adding model into prep_pipe
- 2022-04-08 16:47:34,647:WARNING:Only Model saved as it was a pipeline.
- 2022-04-08 16:47:34,883:INFO:my_api.pkl saved in current working directory
- 2022-04-08 16:47:34,890:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 16:47:34,890:INFO:save_model() successfully completed......................................
- 2022-04-08 16:47:42,247:INFO:Initializing load_model()
- 2022-04-08 16:47:42,247:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:47:44,199:INFO:Initializing predict_model()
- 2022-04-08 16:47:44,199:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- 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)
- 2022-04-08 16:47:44,199:INFO:Checking exceptions
- 2022-04-08 16:47:44,199:INFO:Preloading libraries
- 2022-04-08 16:57:56,226:INFO:Initializing load_model()
- 2022-04-08 16:57:56,226:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 16:58:00,128:INFO:Initializing predict_model()
- 2022-04-08 16:58:00,128:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 16:58:00,128:INFO:Checking exceptions
- 2022-04-08 16:58:00,128:INFO:Preloading libraries
- 2022-04-08 17:03:35,016:INFO:Initializing load_model()
- 2022-04-08 17:03:35,016:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 17:03:38,905:INFO:Initializing predict_model()
- 2022-04-08 17:03:38,906:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:03:38,906:INFO:Checking exceptions
- 2022-04-08 17:03:38,906:INFO:Preloading libraries
- 2022-04-08 17:03:40,798:INFO:Initializing predict_model()
- 2022-04-08 17:03:40,799:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:03:40,799:INFO:Checking exceptions
- 2022-04-08 17:03:40,799:INFO:Preloading libraries
- 2022-04-08 17:03:42,048:INFO:Initializing predict_model()
- 2022-04-08 17:03:42,049:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:03:42,049:INFO:Checking exceptions
- 2022-04-08 17:03:42,049:INFO:Preloading libraries
- 2022-04-08 17:04:52,767:INFO:PyCaret Supervised Module
- 2022-04-08 17:04:52,768:INFO:ML Usecase: classification
- 2022-04-08 17:04:52,768:INFO:version 2.3.5
- 2022-04-08 17:04:52,768:INFO:Initializing setup()
- 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)
- 2022-04-08 17:04:52,768:INFO:Checking environment
- 2022-04-08 17:04:52,769:INFO:python_version: 3.8.13
- 2022-04-08 17:04:52,769:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-08 17:04:52,769:INFO:machine: x86_64
- 2022-04-08 17:04:52,769:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-08 17:04:52,770:INFO:Physical Core: 16
- 2022-04-08 17:04:52,770:INFO:Logical Core: 32
- 2022-04-08 17:04:52,770:INFO:Checking libraries
- 2022-04-08 17:04:52,770:INFO:pd==1.4.2
- 2022-04-08 17:04:52,771:INFO:numpy==1.19.5
- 2022-04-08 17:04:52,771:INFO:sklearn==0.23.2
- 2022-04-08 17:04:52,771:INFO:lightgbm==3.3.2
- 2022-04-08 17:04:52,771:WARNING:catboost not found
- 2022-04-08 17:04:52,851:INFO:xgboost==1.5.2
- 2022-04-08 17:04:52,961:INFO:mlflow==1.24.0
- 2022-04-08 17:04:52,961:INFO:Checking Exceptions
- 2022-04-08 17:04:52,962:INFO:Declaring global variables
- 2022-04-08 17:04:52,962:INFO:USI: 41e5
- 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'}
- 2022-04-08 17:04:52,962:INFO:Preparing display monitor
- 2022-04-08 17:04:52,962:INFO:Preparing display monitor
- 2022-04-08 17:04:52,970:INFO:Importing libraries
- 2022-04-08 17:04:52,970:INFO:Copying data for preprocessing
- 2022-04-08 17:04:52,976:INFO:Declaring preprocessing parameters
- 2022-04-08 17:04:52,978:INFO:Creating preprocessing pipeline
- 2022-04-08 17:04:53,007:INFO:Preprocessing pipeline created successfully
- 2022-04-08 17:04:53,008:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 17:04:53,008:INFO:Creating global containers
- 2022-04-08 17:04:53,009:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 17:04:55,019:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 17:04:55,068:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 17:04:55,069:INFO:Creating grid variables
- 2022-04-08 17:04:55,075:INFO:create_model_container: 0
- 2022-04-08 17:04:55,075:INFO:master_model_container: 0
- 2022-04-08 17:04:55,076:INFO:display_container: 1
- 2022-04-08 17:04:55,078:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 17:04:55,078:INFO:setup() succesfully completed......................................
- 2022-04-08 17:04:58,342:INFO:Initializing load_model()
- 2022-04-08 17:04:58,343:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
- 2022-04-08 17:05:01,198:INFO:Initializing predict_model()
- 2022-04-08 17:05:01,198:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:05:01,198:INFO:Checking exceptions
- 2022-04-08 17:05:01,198:INFO:Preloading libraries
- 2022-04-08 17:05:01,199:INFO:Preparing display monitor
- 2022-04-08 17:06:57,362:INFO:PyCaret Supervised Module
- 2022-04-08 17:06:57,362:INFO:ML Usecase: classification
- 2022-04-08 17:06:57,362:INFO:version 2.3.5
- 2022-04-08 17:06:57,363:INFO:Initializing setup()
- 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)
- 2022-04-08 17:06:57,363:INFO:Checking environment
- 2022-04-08 17:06:57,363:INFO:python_version: 3.8.13
- 2022-04-08 17:06:57,363:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-08 17:06:57,363:INFO:machine: x86_64
- 2022-04-08 17:06:57,363:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-08 17:06:57,364:INFO:Physical Core: 16
- 2022-04-08 17:06:57,365:INFO:Logical Core: 32
- 2022-04-08 17:06:57,365:INFO:Checking libraries
- 2022-04-08 17:06:57,365:INFO:pd==1.4.2
- 2022-04-08 17:06:57,365:INFO:numpy==1.19.5
- 2022-04-08 17:06:57,365:INFO:sklearn==0.23.2
- 2022-04-08 17:06:57,365:INFO:lightgbm==3.3.2
- 2022-04-08 17:06:57,366:WARNING:catboost not found
- 2022-04-08 17:06:57,387:INFO:xgboost==1.5.2
- 2022-04-08 17:06:57,500:INFO:mlflow==1.24.0
- 2022-04-08 17:06:57,501:INFO:Checking Exceptions
- 2022-04-08 17:06:57,501:INFO:Declaring global variables
- 2022-04-08 17:06:57,502:INFO:USI: f31f
- 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'}
- 2022-04-08 17:06:57,502:INFO:Preparing display monitor
- 2022-04-08 17:06:57,502:INFO:Preparing display monitor
- 2022-04-08 17:06:57,510:INFO:Importing libraries
- 2022-04-08 17:06:57,510:INFO:Copying data for preprocessing
- 2022-04-08 17:06:57,516:INFO:Declaring preprocessing parameters
- 2022-04-08 17:06:57,519:INFO:Creating preprocessing pipeline
- 2022-04-08 17:06:57,547:INFO:Preprocessing pipeline created successfully
- 2022-04-08 17:06:57,547:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 17:06:57,548:INFO:Creating global containers
- 2022-04-08 17:06:57,548:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 17:06:59,761:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 17:06:59,812:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 17:06:59,813:INFO:Creating grid variables
- 2022-04-08 17:06:59,821:INFO:create_model_container: 0
- 2022-04-08 17:06:59,821:INFO:master_model_container: 0
- 2022-04-08 17:06:59,821:INFO:display_container: 1
- 2022-04-08 17:06:59,824:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 17:06:59,824:INFO:setup() succesfully completed......................................
- 2022-04-08 17:07:02,362:INFO:Initializing load_model()
- 2022-04-08 17:07:02,362:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
- 2022-04-08 17:07:05,003:INFO:Initializing predict_model()
- 2022-04-08 17:07:05,003:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:07:05,004:INFO:Checking exceptions
- 2022-04-08 17:07:05,004:INFO:Preloading libraries
- 2022-04-08 17:07:05,004:INFO:Preparing display monitor
- 2022-04-08 17:10:42,670:INFO:PyCaret Supervised Module
- 2022-04-08 17:10:42,671:INFO:ML Usecase: classification
- 2022-04-08 17:10:42,671:INFO:version 2.3.6
- 2022-04-08 17:10:42,671:INFO:Initializing setup()
- 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)
- 2022-04-08 17:10:42,671:INFO:Checking environment
- 2022-04-08 17:10:42,671:INFO:python_version: 3.8.13
- 2022-04-08 17:10:42,671:INFO:python_build: ('default', 'Mar 28 2022 11:38:47')
- 2022-04-08 17:10:42,672:INFO:machine: x86_64
- 2022-04-08 17:10:42,672:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17
- 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)
- 2022-04-08 17:10:42,673:INFO:Physical Core: 16
- 2022-04-08 17:10:42,673:INFO:Logical Core: 32
- 2022-04-08 17:10:42,673:INFO:Checking libraries
- 2022-04-08 17:10:42,673:INFO:pd==1.4.2
- 2022-04-08 17:10:42,673:INFO:numpy==1.19.5
- 2022-04-08 17:10:42,673:INFO:sklearn==0.23.2
- 2022-04-08 17:10:42,674:INFO:lightgbm==3.3.2
- 2022-04-08 17:10:42,674:WARNING:catboost not found
- 2022-04-08 17:10:42,695:INFO:xgboost==1.5.2
- 2022-04-08 17:10:42,806:INFO:mlflow==1.24.0
- 2022-04-08 17:10:42,807:INFO:Checking Exceptions
- 2022-04-08 17:10:42,807:INFO:Declaring global variables
- 2022-04-08 17:10:42,807:INFO:USI: 17b7
- 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'}
- 2022-04-08 17:10:42,808:INFO:Preparing display monitor
- 2022-04-08 17:10:42,808:INFO:Preparing display monitor
- 2022-04-08 17:10:42,816:INFO:Importing libraries
- 2022-04-08 17:10:42,816:INFO:Copying data for preprocessing
- 2022-04-08 17:10:42,821:INFO:Declaring preprocessing parameters
- 2022-04-08 17:10:42,825:INFO:Creating preprocessing pipeline
- 2022-04-08 17:10:42,853:INFO:Preprocessing pipeline created successfully
- 2022-04-08 17:10:42,853:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-04-08 17:10:42,853:INFO:Creating global containers
- 2022-04-08 17:10:42,854:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-04-08 17:10:44,800:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 17:10:44,849:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-04-08 17:10:44,849:INFO:Creating grid variables
- 2022-04-08 17:10:44,857:INFO:create_model_container: 0
- 2022-04-08 17:10:44,857:INFO:master_model_container: 0
- 2022-04-08 17:10:44,857:INFO:display_container: 1
- 2022-04-08 17:10:44,859:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 17:10:44,860:INFO:setup() succesfully completed......................................
- 2022-04-08 17:10:47,026:INFO:Initializing load_model()
- 2022-04-08 17:10:47,026:INFO:load_model(model_name=tuned_xgboost_239_0408, platform=None, authentication=None, verbose=True)
- 2022-04-08 17:10:49,864:INFO:Initializing predict_model()
- 2022-04-08 17:10:49,864:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:10:49,864:INFO:Checking exceptions
- 2022-04-08 17:10:49,864:INFO:Preloading libraries
- 2022-04-08 17:10:49,865:INFO:Preparing display monitor
- 2022-04-08 17:10:57,123:INFO:Initializing get_config()
- 2022-04-08 17:10:57,123:INFO:get_config(variable=prep_pipe)
- 2022-04-08 17:10:57,126:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 17:10:57,126:INFO:get_config() succesfully completed......................................
- 2022-04-08 17:10:57,126:INFO:Initializing get_config()
- 2022-04-08 17:10:57,126:INFO:get_config(variable=data_before_preprocess)
- 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 \
- 0 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 1 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 2 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 3 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- 4 0.0 78.0 246.0 0.0 0.0 0.0 0 8 30 0
- ... ... ... ... ... ... ... ... ... ... ...
- 64795 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64796 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64797 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64798 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- 64799 0.0 26.0 191.0 0.0 0.0 1.0 4 11 26 23
- minute
- 0 0
- 1 1
- 2 2
- 3 3
- 4 4
- ... ...
- 64795 55
- 64796 56
- 64797 57
- 64798 58
- 64799 59
- [64800 rows x 11 columns]
- 2022-04-08 17:10:57,129:INFO:get_config() succesfully completed......................................
- 2022-04-08 17:10:57,131:INFO:Initializing get_config()
- 2022-04-08 17:10:57,131:INFO:get_config(variable=prep_pipe)
- 2022-04-08 17:10:57,133:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-04-08 17:10:57,133:INFO:get_config() succesfully completed......................................
- 2022-04-08 17:10:57,141:INFO:Initializing save_model()
- 2022-04-08 17:10:57,142:INFO:save_model(model=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), model_name=my_api, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=False, kwargs={})
- 2022-04-08 17:10:57,142:INFO:Adding model into prep_pipe
- 2022-04-08 17:10:57,317:WARNING:Only Model saved as it was a pipeline.
- 2022-04-08 17:10:57,415:INFO:my_api.pkl saved in current working directory
- 2022-04-08 17:10:57,421:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-04-08 17:10:57,421:INFO:save_model() successfully completed......................................
- 2022-04-08 17:13:28,926:INFO:Initializing load_model()
- 2022-04-08 17:13:28,926:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 17:13:39,349:INFO:Initializing predict_model()
- 2022-04-08 17:13:39,349:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:13:39,349:INFO:Checking exceptions
- 2022-04-08 17:13:39,350:INFO:Preloading libraries
- 2022-04-08 17:13:43,779:INFO:Initializing predict_model()
- 2022-04-08 17:13:43,779:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:13:43,779:INFO:Checking exceptions
- 2022-04-08 17:13:43,779:INFO:Preloading libraries
- 2022-04-08 17:15:16,144:INFO:Initializing load_model()
- 2022-04-08 17:15:16,145:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 17:15:52,616:INFO:Initializing predict_model()
- 2022-04-08 17:15:52,616:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:15:52,616:INFO:Checking exceptions
- 2022-04-08 17:15:52,616:INFO:Preloading libraries
- 2022-04-08 17:18:23,035:INFO:Initializing predict_model()
- 2022-04-08 17:18:23,035:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:23,035:INFO:Checking exceptions
- 2022-04-08 17:18:23,035:INFO:Preloading libraries
- 2022-04-08 17:18:25,201:INFO:Initializing predict_model()
- 2022-04-08 17:18:25,201:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:25,201:INFO:Checking exceptions
- 2022-04-08 17:18:25,201:INFO:Preloading libraries
- 2022-04-08 17:18:27,349:INFO:Initializing predict_model()
- 2022-04-08 17:18:27,349:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:27,349:INFO:Checking exceptions
- 2022-04-08 17:18:27,349:INFO:Preloading libraries
- 2022-04-08 17:18:29,509:INFO:Initializing predict_model()
- 2022-04-08 17:18:29,509:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:29,509:INFO:Checking exceptions
- 2022-04-08 17:18:29,509:INFO:Preloading libraries
- 2022-04-08 17:18:31,660:INFO:Initializing predict_model()
- 2022-04-08 17:18:31,660:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:31,660:INFO:Checking exceptions
- 2022-04-08 17:18:31,660:INFO:Preloading libraries
- 2022-04-08 17:18:33,816:INFO:Initializing predict_model()
- 2022-04-08 17:18:33,816:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:33,816:INFO:Checking exceptions
- 2022-04-08 17:18:33,816:INFO:Preloading libraries
- 2022-04-08 17:18:35,972:INFO:Initializing predict_model()
- 2022-04-08 17:18:35,972:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:35,972:INFO:Checking exceptions
- 2022-04-08 17:18:35,972:INFO:Preloading libraries
- 2022-04-08 17:18:38,120:INFO:Initializing predict_model()
- 2022-04-08 17:18:38,120:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:38,120:INFO:Checking exceptions
- 2022-04-08 17:18:38,120:INFO:Preloading libraries
- 2022-04-08 17:18:40,265:INFO:Initializing predict_model()
- 2022-04-08 17:18:40,265:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:40,265:INFO:Checking exceptions
- 2022-04-08 17:18:40,265:INFO:Preloading libraries
- 2022-04-08 17:18:42,413:INFO:Initializing predict_model()
- 2022-04-08 17:18:42,413:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:18:42,413:INFO:Checking exceptions
- 2022-04-08 17:18:42,413:INFO:Preloading libraries
- 2022-04-08 17:20:40,493:INFO:Initializing load_model()
- 2022-04-08 17:20:40,493:INFO:load_model(model_name=my_api, platform=None, authentication=None, verbose=True)
- 2022-04-08 17:20:50,403:INFO:Initializing predict_model()
- 2022-04-08 17:20:50,403:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:20:50,403:INFO:Checking exceptions
- 2022-04-08 17:20:50,403:INFO:Preloading libraries
- 2022-04-08 17:20:52,890:INFO:Initializing predict_model()
- 2022-04-08 17:20:52,890:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:20:52,890:INFO:Checking exceptions
- 2022-04-08 17:20:52,890:INFO:Preloading libraries
- 2022-04-08 17:20:55,049:INFO:Initializing predict_model()
- 2022-04-08 17:20:55,049:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:20:55,049:INFO:Checking exceptions
- 2022-04-08 17:20:55,049:INFO:Preloading libraries
- 2022-04-08 17:20:57,211:INFO:Initializing predict_model()
- 2022-04-08 17:20:57,211:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:20:57,211:INFO:Checking exceptions
- 2022-04-08 17:20:57,211:INFO:Preloading libraries
- 2022-04-08 17:20:59,357:INFO:Initializing predict_model()
- 2022-04-08 17:20:59,357:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:20:59,357:INFO:Checking exceptions
- 2022-04-08 17:20:59,357:INFO:Preloading libraries
- 2022-04-08 17:21:01,521:INFO:Initializing predict_model()
- 2022-04-08 17:21:01,521:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:21:01,521:INFO:Checking exceptions
- 2022-04-08 17:21:01,521:INFO:Preloading libraries
- 2022-04-08 17:21:03,671:INFO:Initializing predict_model()
- 2022-04-08 17:21:03,671:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:21:03,671:INFO:Checking exceptions
- 2022-04-08 17:21:03,671:INFO:Preloading libraries
- 2022-04-08 17:21:05,819:INFO:Initializing predict_model()
- 2022-04-08 17:21:05,819:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:21:05,819:INFO:Checking exceptions
- 2022-04-08 17:21:05,819:INFO:Preloading libraries
- 2022-04-08 17:21:07,980:INFO:Initializing predict_model()
- 2022-04-08 17:21:07,980:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:21:07,980:INFO:Checking exceptions
- 2022-04-08 17:21:07,980:INFO:Preloading libraries
- 2022-04-08 17:21:10,146:INFO:Initializing predict_model()
- 2022-04-08 17:21:10,146:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.005,
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=4505, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-04-08 17:21:10,146:INFO:Checking exceptions
- 2022-04-08 17:21:10,146:INFO:Preloading libraries
|