logs.log

2022-11-10 02:55:37,318:INFO:PyCaret Supervised Module
2022-11-10 02:55:37,321:INFO:ML Usecase: regression
2022-11-10 02:55:37,322:INFO:version 2.3.10
2022-11-10 02:55:37,325:INFO:Initializing setup()
2022-11-10 02:55:37,326:INFO:setup(target=Transported, ml_usecase=regression, available_plots={'parameter': 'Hyperparameters', 'residuals': 'Residuals', 'error': 'Prediction Error', 'cooks': 'Cooks Distance', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'vc': 'Validation Curve', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'tree': 'Decision Tree', 'residuals_interactive': 'Interactive Residuals'}, 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=kfold, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 02:55:37,326:INFO:Checking environment
2022-11-10 02:55:37,326:INFO:python_version: 3.8.9
2022-11-10 02:55:37,326:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 02:55:37,326:INFO:machine: AMD64
2022-11-10 02:55:37,326:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 02:55:37,341:INFO:Memory: svmem(total=16832749568, available=2478542848, percent=85.3, used=14354206720, free=2478542848)
2022-11-10 02:55:37,342:INFO:Physical Core: 12
2022-11-10 02:55:37,342:INFO:Logical Core: 16
2022-11-10 02:55:37,342:INFO:Checking libraries
2022-11-10 02:55:37,345:INFO:pd==1.4.0
2022-11-10 02:55:37,345:INFO:numpy==1.20.0
2022-11-10 02:55:37,345:INFO:sklearn==1.0.2
2022-11-10 03:01:06,091:INFO:PyCaret Supervised Module
2022-11-10 03:01:06,094:INFO:ML Usecase: regression
2022-11-10 03:01:06,096:INFO:version 2.3.10
2022-11-10 03:01:06,096:INFO:Initializing setup()
2022-11-10 03:01:06,097:INFO:setup(target=Transported, ml_usecase=regression, available_plots={'parameter': 'Hyperparameters', 'residuals': 'Residuals', 'error': 'Prediction Error', 'cooks': 'Cooks Distance', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'vc': 'Validation Curve', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'tree': 'Decision Tree', 'residuals_interactive': 'Interactive Residuals'}, 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=kfold, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:01:06,102:INFO:Checking environment
2022-11-10 03:01:06,104:INFO:python_version: 3.8.9
2022-11-10 03:01:06,105:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:01:06,105:INFO:machine: AMD64
2022-11-10 03:01:06,106:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:01:06,107:INFO:Memory: svmem(total=16832749568, available=3241590784, percent=80.7, used=13591158784, free=3241590784)
2022-11-10 03:01:06,108:INFO:Physical Core: 12
2022-11-10 03:01:06,109:INFO:Logical Core: 16
2022-11-10 03:01:06,109:INFO:Checking libraries
2022-11-10 03:01:06,110:INFO:pd==1.5.1
2022-11-10 03:01:06,111:INFO:numpy==1.20.3
2022-11-10 03:01:06,111:INFO:sklearn==0.23.2
2022-11-10 03:01:06,112:INFO:lightgbm==3.3.3
2022-11-10 03:01:06,113:WARNING:catboost not found
2022-11-10 03:01:06,114:WARNING:xgboost not found
2022-11-10 03:01:06,114:INFO:mlflow==1.30.0
2022-11-10 03:01:06,115:INFO:Checking Exceptions
2022-11-10 03:01:06,115:INFO:Declaring global variables
2022-11-10 03:01:06,115:INFO:USI: ba45
2022-11-10 03:01:06,116:INFO:pycaret_globals: {'html_param', 'fold_groups_param_full', 'fold_groups_param', '_available_plots', 'fold_param', 'fix_imbalance_method_param', 'transform_target_param', '_all_models', 'logging_param', 'data_before_preprocess', 'log_plots_param', 'gpu_param', 'transform_target_method_param', 'experiment__', 'seed', 'fold_shuffle_param', 'stratify_param', '_all_metrics', '_ml_usecase', 'y_test', 'X', 'target_param', '_gpu_n_jobs_param', 'X_train', '_internal_pipeline', 'y', 'create_model_container', 'y_train', 'X_test', 'fix_imbalance_param', 'iterative_imputation_iters_param', 'fold_generator', 'imputation_classifier', 'USI', 'master_model_container', 'n_jobs_param', 'display_container', 'pycaret_globals', '_all_models_internal', 'imputation_regressor', 'prep_pipe', 'dashboard_logger', 'exp_name_log'}
2022-11-10 03:01:06,118:INFO:Preparing display monitor
2022-11-10 03:01:06,118:INFO:Preparing display monitor
2022-11-10 03:01:06,141:INFO:Importing libraries
2022-11-10 03:01:06,142:INFO:Copying data for preprocessing
2022-11-10 03:01:06,149:INFO:Declaring preprocessing parameters
2022-11-10 03:01:06,153:INFO:Creating preprocessing pipeline
2022-11-10 03:01:06,162:INFO:Preprocessing pipeline created successfully
2022-11-10 03:01:06,163:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:01:06,164:INFO:Creating global containers
2022-11-10 03:01:06,168:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:01:06,479:WARNING:Couldn't import xgboost.XGBRegressor
2022-11-10 03:01:06,485:WARNING:Couldn't import catboost.CatBoostRegressor
2022-11-10 03:01:06,655:WARNING:Couldn't import xgboost.XGBRegressor
2022-11-10 03:01:06,664:WARNING:Couldn't import catboost.CatBoostRegressor
2022-11-10 03:01:06,664:INFO:Creating grid variables
2022-11-10 03:01:06,669:INFO:create_model_container: 0
2022-11-10 03:01:06,670:INFO:master_model_container: 0
2022-11-10 03:01:06,670:INFO:display_container: 1
2022-11-10 03:01:06,671:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=[], ml_usecase='regression',
                                      numerical_features=[],
                                      target='Transported', time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric_str...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='Transported')),
                ('fix_perfect', Remove_100(target='Transported')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:01:06,675:INFO:setup() succesfully completed......................................
2022-11-10 03:03:30,198:INFO:PyCaret Supervised Module
2022-11-10 03:03:30,199:INFO:ML Usecase: regression
2022-11-10 03:03:30,200:INFO:version 2.3.10
2022-11-10 03:03:30,201:INFO:Initializing setup()
2022-11-10 03:03:30,202:INFO:setup(target=PassengerId, ml_usecase=regression, available_plots={'parameter': 'Hyperparameters', 'residuals': 'Residuals', 'error': 'Prediction Error', 'cooks': 'Cooks Distance', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'vc': 'Validation Curve', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'tree': 'Decision Tree', 'residuals_interactive': 'Interactive Residuals'}, 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=kfold, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:03:30,208:INFO:Checking environment
2022-11-10 03:03:30,209:INFO:python_version: 3.8.9
2022-11-10 03:03:30,209:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:03:30,210:INFO:machine: AMD64
2022-11-10 03:03:30,211:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:03:30,212:INFO:Memory: svmem(total=16832749568, available=2899058688, percent=82.8, used=13933690880, free=2899058688)
2022-11-10 03:03:30,213:INFO:Physical Core: 12
2022-11-10 03:03:30,214:INFO:Logical Core: 16
2022-11-10 03:03:30,214:INFO:Checking libraries
2022-11-10 03:03:30,215:INFO:pd==1.5.1
2022-11-10 03:03:30,216:INFO:numpy==1.20.3
2022-11-10 03:03:30,217:INFO:sklearn==0.23.2
2022-11-10 03:03:30,218:INFO:lightgbm==3.3.3
2022-11-10 03:03:30,220:WARNING:catboost not found
2022-11-10 03:03:30,222:WARNING:xgboost not found
2022-11-10 03:03:30,223:INFO:mlflow==1.30.0
2022-11-10 03:03:30,223:INFO:Checking Exceptions
2022-11-10 03:03:30,224:INFO:Declaring global variables
2022-11-10 03:03:30,224:INFO:USI: 2f1c
2022-11-10 03:03:30,225:INFO:pycaret_globals: {'html_param', 'fold_groups_param_full', 'fold_groups_param', '_available_plots', 'fold_param', 'fix_imbalance_method_param', 'transform_target_param', '_all_models', 'logging_param', 'data_before_preprocess', 'log_plots_param', 'gpu_param', 'transform_target_method_param', 'experiment__', 'seed', 'fold_shuffle_param', 'stratify_param', '_all_metrics', '_ml_usecase', 'y_test', 'X', 'target_param', '_gpu_n_jobs_param', 'X_train', '_internal_pipeline', 'y', 'create_model_container', 'y_train', 'X_test', 'fix_imbalance_param', 'iterative_imputation_iters_param', 'fold_generator', 'imputation_classifier', 'USI', 'master_model_container', 'n_jobs_param', 'display_container', 'pycaret_globals', '_all_models_internal', 'imputation_regressor', 'prep_pipe', 'dashboard_logger', 'exp_name_log'}
2022-11-10 03:03:30,226:INFO:Preparing display monitor
2022-11-10 03:03:30,226:INFO:Preparing display monitor
2022-11-10 03:03:30,242:INFO:Importing libraries
2022-11-10 03:03:30,243:INFO:Copying data for preprocessing
2022-11-10 03:03:30,252:INFO:Declaring preprocessing parameters
2022-11-10 03:03:30,255:INFO:Creating preprocessing pipeline
2022-11-10 03:03:30,261:INFO:Preprocessing pipeline created successfully
2022-11-10 03:03:30,262:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:03:30,263:INFO:Creating global containers
2022-11-10 03:03:30,264:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:03:30,604:WARNING:Couldn't import xgboost.XGBRegressor
2022-11-10 03:03:30,606:WARNING:Couldn't import catboost.CatBoostRegressor
2022-11-10 03:03:30,747:WARNING:Couldn't import xgboost.XGBRegressor
2022-11-10 03:03:30,752:WARNING:Couldn't import catboost.CatBoostRegressor
2022-11-10 03:03:30,752:INFO:Creating grid variables
2022-11-10 03:03:30,756:INFO:create_model_container: 0
2022-11-10 03:03:30,756:INFO:master_model_container: 0
2022-11-10 03:03:30,756:INFO:display_container: 1
2022-11-10 03:03:30,759:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=[], ml_usecase='regression',
                                      numerical_features=[],
                                      target='PassengerId', time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric_str...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='PassengerId')),
                ('fix_perfect', Remove_100(target='PassengerId')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:03:30,766:INFO:setup() succesfully completed......................................
2022-11-10 03:03:39,592:INFO:PyCaret Supervised Module
2022-11-10 03:03:39,594:INFO:ML Usecase: regression
2022-11-10 03:03:39,594:INFO:version 2.3.10
2022-11-10 03:03:39,596:INFO:Initializing setup()
2022-11-10 03:03:39,597:INFO:setup(target=Age, ml_usecase=regression, available_plots={'parameter': 'Hyperparameters', 'residuals': 'Residuals', 'error': 'Prediction Error', 'cooks': 'Cooks Distance', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'vc': 'Validation Curve', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'tree': 'Decision Tree', 'residuals_interactive': 'Interactive Residuals'}, 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=kfold, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:03:39,601:INFO:Checking environment
2022-11-10 03:03:39,602:INFO:python_version: 3.8.9
2022-11-10 03:03:39,602:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:03:39,603:INFO:machine: AMD64
2022-11-10 03:03:39,604:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:03:39,605:INFO:Memory: svmem(total=16832749568, available=2908110848, percent=82.7, used=13924638720, free=2908110848)
2022-11-10 03:03:39,606:INFO:Physical Core: 12
2022-11-10 03:03:39,606:INFO:Logical Core: 16
2022-11-10 03:03:39,608:INFO:Checking libraries
2022-11-10 03:03:39,640:INFO:pd==1.5.1
2022-11-10 03:03:39,642:INFO:numpy==1.20.3
2022-11-10 03:03:39,666:INFO:sklearn==0.23.2
2022-11-10 03:03:39,669:INFO:lightgbm==3.3.3
2022-11-10 03:03:39,672:WARNING:catboost not found
2022-11-10 03:03:39,673:WARNING:xgboost not found
2022-11-10 03:03:39,674:INFO:mlflow==1.30.0
2022-11-10 03:03:39,674:INFO:Checking Exceptions
2022-11-10 03:03:39,675:INFO:Declaring global variables
2022-11-10 03:03:39,675:INFO:USI: ef4f
2022-11-10 03:03:39,676:INFO:pycaret_globals: {'html_param', 'fold_groups_param_full', 'fold_groups_param', '_available_plots', 'fold_param', 'fix_imbalance_method_param', 'transform_target_param', '_all_models', 'logging_param', 'data_before_preprocess', 'log_plots_param', 'gpu_param', 'transform_target_method_param', 'experiment__', 'seed', 'fold_shuffle_param', 'stratify_param', '_all_metrics', '_ml_usecase', 'y_test', 'X', 'target_param', '_gpu_n_jobs_param', 'X_train', '_internal_pipeline', 'y', 'create_model_container', 'y_train', 'X_test', 'fix_imbalance_param', 'iterative_imputation_iters_param', 'fold_generator', 'imputation_classifier', 'USI', 'master_model_container', 'n_jobs_param', 'display_container', 'pycaret_globals', '_all_models_internal', 'imputation_regressor', 'prep_pipe', 'dashboard_logger', 'exp_name_log'}
2022-11-10 03:03:39,676:INFO:Preparing display monitor
2022-11-10 03:03:39,677:INFO:Preparing display monitor
2022-11-10 03:03:39,685:INFO:Importing libraries
2022-11-10 03:03:39,686:INFO:Copying data for preprocessing
2022-11-10 03:03:39,691:INFO:Declaring preprocessing parameters
2022-11-10 03:03:39,692:INFO:Creating preprocessing pipeline
2022-11-10 03:03:39,696:INFO:Preprocessing pipeline created successfully
2022-11-10 03:03:39,696:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:03:39,697:INFO:Creating global containers
2022-11-10 03:03:39,697:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:03:40,016:WARNING:Couldn't import xgboost.XGBRegressor
2022-11-10 03:03:40,018:WARNING:Couldn't import catboost.CatBoostRegressor
2022-11-10 03:03:40,184:WARNING:Couldn't import xgboost.XGBRegressor
2022-11-10 03:03:40,184:WARNING:Couldn't import catboost.CatBoostRegressor
2022-11-10 03:03:40,184:INFO:Creating grid variables
2022-11-10 03:03:40,184:INFO:create_model_container: 0
2022-11-10 03:03:40,184:INFO:master_model_container: 0
2022-11-10 03:03:40,190:INFO:display_container: 1
2022-11-10 03:03:40,194:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=[], ml_usecase='regression',
                                      numerical_features=[], target='Age',
                                      time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric_strategy='m...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='Age')),
                ('fix_perfect', Remove_100(target='Age')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:03:40,194:INFO:setup() succesfully completed......................................
2022-11-10 03:04:39,233:INFO:PyCaret Supervised Module
2022-11-10 03:04:39,234:INFO:ML Usecase: regression
2022-11-10 03:04:39,235:INFO:version 2.3.10
2022-11-10 03:04:39,235:INFO:Initializing setup()
2022-11-10 03:04:39,236:INFO:setup(target=VRDeck, ml_usecase=regression, available_plots={'parameter': 'Hyperparameters', 'residuals': 'Residuals', 'error': 'Prediction Error', 'cooks': 'Cooks Distance', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'vc': 'Validation Curve', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'tree': 'Decision Tree', 'residuals_interactive': 'Interactive Residuals'}, 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=kfold, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:04:39,240:INFO:Checking environment
2022-11-10 03:04:39,240:INFO:python_version: 3.8.9
2022-11-10 03:04:39,241:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:04:39,242:INFO:machine: AMD64
2022-11-10 03:04:39,242:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:04:39,244:INFO:Memory: svmem(total=16832749568, available=3143766016, percent=81.3, used=13688983552, free=3143766016)
2022-11-10 03:04:39,244:INFO:Physical Core: 12
2022-11-10 03:04:39,245:INFO:Logical Core: 16
2022-11-10 03:04:39,245:INFO:Checking libraries
2022-11-10 03:04:39,246:INFO:pd==1.5.1
2022-11-10 03:04:39,246:INFO:numpy==1.20.3
2022-11-10 03:04:39,247:INFO:sklearn==0.23.2
2022-11-10 03:04:39,248:INFO:lightgbm==3.3.3
2022-11-10 03:04:39,249:WARNING:catboost not found
2022-11-10 03:04:39,251:WARNING:xgboost not found
2022-11-10 03:04:39,252:INFO:mlflow==1.30.0
2022-11-10 03:04:39,252:INFO:Checking Exceptions
2022-11-10 03:04:39,253:INFO:Declaring global variables
2022-11-10 03:04:39,253:INFO:USI: 31d0
2022-11-10 03:04:39,254:INFO:pycaret_globals: {'html_param', 'fold_groups_param_full', 'fold_groups_param', '_available_plots', 'fold_param', 'fix_imbalance_method_param', 'transform_target_param', '_all_models', 'logging_param', 'data_before_preprocess', 'log_plots_param', 'gpu_param', 'transform_target_method_param', 'experiment__', 'seed', 'fold_shuffle_param', 'stratify_param', '_all_metrics', '_ml_usecase', 'y_test', 'X', 'target_param', '_gpu_n_jobs_param', 'X_train', '_internal_pipeline', 'y', 'create_model_container', 'y_train', 'X_test', 'fix_imbalance_param', 'iterative_imputation_iters_param', 'fold_generator', 'imputation_classifier', 'USI', 'master_model_container', 'n_jobs_param', 'display_container', 'pycaret_globals', '_all_models_internal', 'imputation_regressor', 'prep_pipe', 'dashboard_logger', 'exp_name_log'}
2022-11-10 03:04:39,255:INFO:Preparing display monitor
2022-11-10 03:04:39,255:INFO:Preparing display monitor
2022-11-10 03:04:39,269:INFO:Importing libraries
2022-11-10 03:04:39,270:INFO:Copying data for preprocessing
2022-11-10 03:04:39,280:INFO:Declaring preprocessing parameters
2022-11-10 03:04:39,282:INFO:Creating preprocessing pipeline
2022-11-10 03:04:39,288:INFO:Preprocessing pipeline created successfully
2022-11-10 03:04:39,289:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:04:39,290:INFO:Creating global containers
2022-11-10 03:04:39,291:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:04:39,670:WARNING:Couldn't import xgboost.XGBRegressor
2022-11-10 03:04:39,672:WARNING:Couldn't import catboost.CatBoostRegressor
2022-11-10 03:04:39,824:WARNING:Couldn't import xgboost.XGBRegressor
2022-11-10 03:04:39,824:WARNING:Couldn't import catboost.CatBoostRegressor
2022-11-10 03:04:39,824:INFO:Creating grid variables
2022-11-10 03:04:39,824:INFO:create_model_container: 0
2022-11-10 03:04:39,824:INFO:master_model_container: 0
2022-11-10 03:04:39,824:INFO:display_container: 1
2022-11-10 03:04:39,834:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=[], ml_usecase='regression',
                                      numerical_features=[], target='VRDeck',
                                      time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric_strategy...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='VRDeck')),
                ('fix_perfect', Remove_100(target='VRDeck')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:04:39,834:INFO:setup() succesfully completed......................................
2022-11-10 03:05:33,120:INFO:PyCaret Supervised Module
2022-11-10 03:05:33,122:INFO:ML Usecase: classification
2022-11-10 03:05:33,123:INFO:version 2.3.10
2022-11-10 03:05:33,125:INFO:Initializing setup()
2022-11-10 03:05:33,126:INFO:setup(target=Transported, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:05:33,132:INFO:Checking environment
2022-11-10 03:05:33,133:INFO:python_version: 3.8.9
2022-11-10 03:05:33,134:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:05:33,135:INFO:machine: AMD64
2022-11-10 03:05:33,136:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:05:33,137:INFO:Memory: svmem(total=16832749568, available=3131404288, percent=81.4, used=13701345280, free=3131404288)
2022-11-10 03:05:33,138:INFO:Physical Core: 12
2022-11-10 03:05:33,139:INFO:Logical Core: 16
2022-11-10 03:05:33,140:INFO:Checking libraries
2022-11-10 03:05:33,141:INFO:pd==1.5.1
2022-11-10 03:05:33,141:INFO:numpy==1.20.3
2022-11-10 03:05:33,141:INFO:sklearn==0.23.2
2022-11-10 03:05:33,142:INFO:lightgbm==3.3.3
2022-11-10 03:05:33,144:WARNING:catboost not found
2022-11-10 03:05:33,145:WARNING:xgboost not found
2022-11-10 03:05:33,146:INFO:mlflow==1.30.0
2022-11-10 03:05:33,146:INFO:Checking Exceptions
2022-11-10 03:05:33,146:INFO:Declaring global variables
2022-11-10 03:05:33,146:INFO:USI: d180
2022-11-10 03:05:33,146:INFO:pycaret_globals: {'_all_models_internal', 'exp_name_log', 'fold_groups_param_full', '_available_plots', 'transform_target_param', 'gpu_param', 'fold_generator', 'transform_target_method_param', 'logging_param', 'fold_param', 'experiment__', 'fix_imbalance_method_param', 'X', 'html_param', 'imputation_classifier', 'seed', 'master_model_container', '_gpu_n_jobs_param', 'target_param', 'fold_groups_param', 'stratify_param', 'dashboard_logger', 'y_train', 'pycaret_globals', 'iterative_imputation_iters_param', 'n_jobs_param', 'X_test', 'y', 'USI', 'imputation_regressor', '_internal_pipeline', 'prep_pipe', 'fold_shuffle_param', 'fix_imbalance_param', 'X_train', 'y_test', 'display_container', 'log_plots_param', '_all_models', '_all_metrics', 'data_before_preprocess', 'create_model_container', '_ml_usecase'}
2022-11-10 03:05:33,148:INFO:Preparing display monitor
2022-11-10 03:05:33,148:INFO:Preparing display monitor
2022-11-10 03:05:33,166:INFO:Importing libraries
2022-11-10 03:05:33,167:INFO:Copying data for preprocessing
2022-11-10 03:05:33,177:INFO:Declaring preprocessing parameters
2022-11-10 03:05:33,180:INFO:Creating preprocessing pipeline
2022-11-10 03:05:33,190:INFO:Preprocessing pipeline created successfully
2022-11-10 03:05:33,191:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:05:33,192:INFO:Creating global containers
2022-11-10 03:05:33,196:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:05:33,525:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:05:33,527:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:05:33,639:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:05:33,640:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:05:33,641:INFO:Creating grid variables
2022-11-10 03:05:33,644:INFO:create_model_container: 0
2022-11-10 03:05:33,644:INFO:master_model_container: 0
2022-11-10 03:05:33,645:INFO:display_container: 1
2022-11-10 03:05:33,649:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=[],
                                      ml_usecase='classification',
                                      numerical_features=[],
                                      target='Transported', time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='Transported')),
                ('fix_perfect', Remove_100(target='Transported')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:05:33,652:INFO:setup() succesfully completed......................................
2022-11-10 03:07:52,465:INFO:PyCaret Supervised Module
2022-11-10 03:07:52,467:INFO:ML Usecase: classification
2022-11-10 03:07:52,468:INFO:version 2.3.10
2022-11-10 03:07:52,469:INFO:Initializing setup()
2022-11-10 03:07:52,469:INFO:setup(target=Transported, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:07:52,474:INFO:Checking environment
2022-11-10 03:07:52,475:INFO:python_version: 3.8.9
2022-11-10 03:07:52,475:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:07:52,477:INFO:machine: AMD64
2022-11-10 03:07:52,478:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:07:52,479:INFO:Memory: svmem(total=16832749568, available=3366260736, percent=80.0, used=13466488832, free=3366260736)
2022-11-10 03:07:52,480:INFO:Physical Core: 12
2022-11-10 03:07:52,480:INFO:Logical Core: 16
2022-11-10 03:07:52,481:INFO:Checking libraries
2022-11-10 03:07:52,482:INFO:pd==1.5.1
2022-11-10 03:07:52,482:INFO:numpy==1.20.3
2022-11-10 03:07:52,483:INFO:sklearn==0.23.2
2022-11-10 03:07:52,483:INFO:lightgbm==3.3.3
2022-11-10 03:07:52,485:WARNING:catboost not found
2022-11-10 03:07:52,487:WARNING:xgboost not found
2022-11-10 03:07:52,487:INFO:mlflow==1.30.0
2022-11-10 03:07:52,488:INFO:Checking Exceptions
2022-11-10 03:07:52,488:INFO:Declaring global variables
2022-11-10 03:07:52,489:INFO:USI: 8d24
2022-11-10 03:07:52,490:INFO:pycaret_globals: {'USI', 'data_before_preprocess', 'X', 'y_test', 'fold_param', 'target_param', 'imputation_regressor', 'fold_shuffle_param', '_all_models_internal', 'transform_target_method_param', 'create_model_container', 'iterative_imputation_iters_param', 'dashboard_logger', 'display_container', 'fold_generator', 'gpu_param', 'transform_target_param', 'exp_name_log', 'fix_imbalance_param', 'n_jobs_param', '_internal_pipeline', '_all_metrics', 'logging_param', 'prep_pipe', 'log_plots_param', 'X_test', 'y_train', 'imputation_classifier', 'seed', 'fold_groups_param_full', '_gpu_n_jobs_param', 'experiment__', 'fold_groups_param', '_available_plots', 'X_train', 'stratify_param', '_all_models', '_ml_usecase', 'pycaret_globals', 'html_param', 'y', 'fix_imbalance_method_param', 'master_model_container'}
2022-11-10 03:07:52,491:INFO:Preparing display monitor
2022-11-10 03:07:52,492:INFO:Preparing display monitor
2022-11-10 03:07:52,507:INFO:Importing libraries
2022-11-10 03:07:52,508:INFO:Copying data for preprocessing
2022-11-10 03:07:52,515:INFO:Declaring preprocessing parameters
2022-11-10 03:07:52,517:INFO:Creating preprocessing pipeline
2022-11-10 03:07:52,524:INFO:Preprocessing pipeline created successfully
2022-11-10 03:07:52,525:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:07:52,526:INFO:Creating global containers
2022-11-10 03:07:52,530:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:07:52,818:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:07:52,820:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:07:52,951:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:07:52,953:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:07:52,954:INFO:Creating grid variables
2022-11-10 03:07:52,957:INFO:create_model_container: 0
2022-11-10 03:07:52,957:INFO:master_model_container: 0
2022-11-10 03:07:52,958:INFO:display_container: 1
2022-11-10 03:07:52,961:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=[],
                                      ml_usecase='classification',
                                      numerical_features=[],
                                      target='Transported', time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='Transported')),
                ('fix_perfect', Remove_100(target='Transported')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:07:52,964:INFO:setup() succesfully completed......................................
2022-11-10 03:12:04,533:INFO:PyCaret Supervised Module
2022-11-10 03:12:04,534:INFO:ML Usecase: classification
2022-11-10 03:12:04,534:INFO:version 2.3.10
2022-11-10 03:12:04,536:INFO:Initializing setup()
2022-11-10 03:12:04,536:INFO:setup(target=Species, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:12:04,539:INFO:Checking environment
2022-11-10 03:12:04,540:INFO:python_version: 3.8.9
2022-11-10 03:12:04,541:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:12:04,542:INFO:machine: AMD64
2022-11-10 03:12:04,543:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:12:04,543:INFO:Memory: svmem(total=16832749568, available=3076345856, percent=81.7, used=13756403712, free=3076345856)
2022-11-10 03:12:04,544:INFO:Physical Core: 12
2022-11-10 03:12:04,545:INFO:Logical Core: 16
2022-11-10 03:12:04,545:INFO:Checking libraries
2022-11-10 03:12:04,546:INFO:pd==1.5.1
2022-11-10 03:12:04,546:INFO:numpy==1.20.3
2022-11-10 03:12:04,547:INFO:sklearn==0.23.2
2022-11-10 03:12:04,547:INFO:lightgbm==3.3.3
2022-11-10 03:12:04,549:WARNING:catboost not found
2022-11-10 03:12:04,551:WARNING:xgboost not found
2022-11-10 03:12:04,551:INFO:mlflow==1.30.0
2022-11-10 03:12:04,552:INFO:Checking Exceptions
2022-11-10 03:12:04,553:INFO:Declaring global variables
2022-11-10 03:12:04,553:INFO:USI: 8702
2022-11-10 03:12:04,553:INFO:pycaret_globals: {'USI', 'data_before_preprocess', 'X', 'y_test', 'fold_param', 'target_param', 'imputation_regressor', 'fold_shuffle_param', '_all_models_internal', 'transform_target_method_param', 'create_model_container', 'iterative_imputation_iters_param', 'dashboard_logger', 'display_container', 'fold_generator', 'gpu_param', 'transform_target_param', 'exp_name_log', 'fix_imbalance_param', 'n_jobs_param', '_internal_pipeline', '_all_metrics', 'logging_param', 'prep_pipe', 'log_plots_param', 'X_test', 'y_train', 'imputation_classifier', 'seed', 'fold_groups_param_full', '_gpu_n_jobs_param', 'experiment__', 'fold_groups_param', '_available_plots', 'X_train', 'stratify_param', '_all_models', '_ml_usecase', 'pycaret_globals', 'html_param', 'y', 'fix_imbalance_method_param', 'master_model_container'}
2022-11-10 03:12:04,555:INFO:Preparing display monitor
2022-11-10 03:12:04,556:INFO:Preparing display monitor
2022-11-10 03:12:04,571:INFO:Importing libraries
2022-11-10 03:12:04,572:INFO:Copying data for preprocessing
2022-11-10 03:12:04,579:INFO:Declaring preprocessing parameters
2022-11-10 03:12:04,582:INFO:Creating preprocessing pipeline
2022-11-10 03:12:04,591:INFO:Preprocessing pipeline created successfully
2022-11-10 03:12:04,592:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:12:04,593:INFO:Creating global containers
2022-11-10 03:12:04,594:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:12:04,818:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:12:04,819:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:12:04,932:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:12:04,934:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:12:04,934:INFO:Creating grid variables
2022-11-10 03:12:04,937:INFO:create_model_container: 0
2022-11-10 03:12:04,937:INFO:master_model_container: 0
2022-11-10 03:12:04,937:INFO:display_container: 1
2022-11-10 03:12:04,941:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=['Id'],
                                      ml_usecase='classification',
                                      numerical_features=[], target='Species',
                                      time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='Species')),
                ('fix_perfect', Remove_100(target='Species')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:12:04,942:INFO:setup() succesfully completed......................................
2022-11-10 03:14:54,061:INFO:PyCaret Supervised Module
2022-11-10 03:14:54,064:INFO:ML Usecase: classification
2022-11-10 03:14:54,065:INFO:version 2.3.10
2022-11-10 03:14:54,066:INFO:Initializing setup()
2022-11-10 03:14:54,067:INFO:setup(target=Species, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:14:54,072:INFO:Checking environment
2022-11-10 03:14:54,073:INFO:python_version: 3.8.9
2022-11-10 03:14:54,073:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:14:54,074:INFO:machine: AMD64
2022-11-10 03:14:54,076:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:14:54,076:INFO:Memory: svmem(total=16832749568, available=3503624192, percent=79.2, used=13329125376, free=3503624192)
2022-11-10 03:14:54,077:INFO:Physical Core: 12
2022-11-10 03:14:54,078:INFO:Logical Core: 16
2022-11-10 03:14:54,079:INFO:Checking libraries
2022-11-10 03:14:54,079:INFO:pd==1.5.1
2022-11-10 03:14:54,080:INFO:numpy==1.20.3
2022-11-10 03:14:54,080:INFO:sklearn==0.23.2
2022-11-10 03:14:54,081:INFO:lightgbm==3.3.3
2022-11-10 03:14:54,082:WARNING:catboost not found
2022-11-10 03:14:54,085:WARNING:xgboost not found
2022-11-10 03:14:54,085:INFO:mlflow==1.30.0
2022-11-10 03:14:54,086:INFO:Checking Exceptions
2022-11-10 03:14:54,087:INFO:Declaring global variables
2022-11-10 03:14:54,088:INFO:USI: 2b78
2022-11-10 03:14:54,088:INFO:pycaret_globals: {'_internal_pipeline', 'data_before_preprocess', 'master_model_container', 'fold_groups_param_full', '_gpu_n_jobs_param', 'transform_target_method_param', 'display_container', 'X', 'transform_target_param', '_all_models', 'imputation_classifier', 'seed', '_ml_usecase', 'fold_param', 'fold_groups_param', 'experiment__', 'n_jobs_param', 'y_test', 'iterative_imputation_iters_param', 'gpu_param', 'fold_shuffle_param', 'y_train', 'X_train', 'target_param', '_all_metrics', 'imputation_regressor', 'y', 'fold_generator', 'create_model_container', '_all_models_internal', 'dashboard_logger', 'log_plots_param', 'fix_imbalance_method_param', 'stratify_param', 'pycaret_globals', 'fix_imbalance_param', 'logging_param', 'html_param', 'USI', 'prep_pipe', 'X_test', '_available_plots', 'exp_name_log'}
2022-11-10 03:14:54,090:INFO:Preparing display monitor
2022-11-10 03:14:54,090:INFO:Preparing display monitor
2022-11-10 03:14:54,112:INFO:Importing libraries
2022-11-10 03:14:54,113:INFO:Copying data for preprocessing
2022-11-10 03:14:54,120:INFO:Declaring preprocessing parameters
2022-11-10 03:14:54,122:INFO:Creating preprocessing pipeline
2022-11-10 03:14:54,131:INFO:Preprocessing pipeline created successfully
2022-11-10 03:14:54,133:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:14:54,134:INFO:Creating global containers
2022-11-10 03:14:54,136:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:14:54,438:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:14:54,439:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:14:54,553:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:14:54,554:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:14:54,555:INFO:Creating grid variables
2022-11-10 03:14:54,557:INFO:create_model_container: 0
2022-11-10 03:14:54,557:INFO:master_model_container: 0
2022-11-10 03:14:54,557:INFO:display_container: 1
2022-11-10 03:14:54,559:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=['Id'],
                                      ml_usecase='classification',
                                      numerical_features=[], target='Species',
                                      time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='Species')),
                ('fix_perfect', Remove_100(target='Species')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:14:54,559:INFO:setup() succesfully completed......................................
2022-11-10 03:16:07,462:INFO:PyCaret Supervised Module
2022-11-10 03:16:07,463:INFO:ML Usecase: classification
2022-11-10 03:16:07,463:INFO:version 2.3.10
2022-11-10 03:16:07,464:INFO:Initializing setup()
2022-11-10 03:16:07,465:INFO:setup(target=Species, 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=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2022-11-10 03:16:07,469:INFO:Checking environment
2022-11-10 03:16:07,469:INFO:python_version: 3.8.9
2022-11-10 03:16:07,471:INFO:python_build: ('tags/v3.8.9:a743f81', 'Apr  6 2021 14:02:34')
2022-11-10 03:16:07,471:INFO:machine: AMD64
2022-11-10 03:16:07,472:INFO:platform: Windows-10-10.0.22000-SP0
2022-11-10 03:16:07,473:INFO:Memory: svmem(total=16832749568, available=2201468928, percent=86.9, used=14631280640, free=2201468928)
2022-11-10 03:16:07,474:INFO:Physical Core: 12
2022-11-10 03:16:07,474:INFO:Logical Core: 16
2022-11-10 03:16:07,475:INFO:Checking libraries
2022-11-10 03:16:07,476:INFO:pd==1.5.1
2022-11-10 03:16:07,477:INFO:numpy==1.20.3
2022-11-10 03:16:07,477:INFO:sklearn==0.23.2
2022-11-10 03:16:07,478:INFO:lightgbm==3.3.3
2022-11-10 03:16:07,480:WARNING:catboost not found
2022-11-10 03:16:07,482:WARNING:xgboost not found
2022-11-10 03:16:07,483:INFO:mlflow==1.30.0
2022-11-10 03:16:07,483:INFO:Checking Exceptions
2022-11-10 03:16:07,484:INFO:Declaring global variables
2022-11-10 03:16:07,484:INFO:USI: 8181
2022-11-10 03:16:07,484:INFO:pycaret_globals: {'_internal_pipeline', 'data_before_preprocess', 'master_model_container', 'fold_groups_param_full', '_gpu_n_jobs_param', 'transform_target_method_param', 'display_container', 'X', 'transform_target_param', '_all_models', 'imputation_classifier', 'seed', '_ml_usecase', 'fold_param', 'fold_groups_param', 'experiment__', 'n_jobs_param', 'y_test', 'iterative_imputation_iters_param', 'gpu_param', 'fold_shuffle_param', 'y_train', 'X_train', 'target_param', '_all_metrics', 'imputation_regressor', 'y', 'fold_generator', 'create_model_container', '_all_models_internal', 'dashboard_logger', 'log_plots_param', 'fix_imbalance_method_param', 'stratify_param', 'pycaret_globals', 'fix_imbalance_param', 'logging_param', 'html_param', 'USI', 'prep_pipe', 'X_test', '_available_plots', 'exp_name_log'}
2022-11-10 03:16:07,485:INFO:Preparing display monitor
2022-11-10 03:16:07,486:INFO:Preparing display monitor
2022-11-10 03:16:07,495:INFO:Importing libraries
2022-11-10 03:16:07,495:INFO:Copying data for preprocessing
2022-11-10 03:16:07,498:INFO:Declaring preprocessing parameters
2022-11-10 03:16:07,498:INFO:Creating preprocessing pipeline
2022-11-10 03:16:07,500:INFO:Preprocessing pipeline created successfully
2022-11-10 03:16:07,501:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2022-11-10 03:16:07,501:INFO:Creating global containers
2022-11-10 03:16:07,502:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2022-11-10 03:16:07,596:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:16:07,597:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:16:07,635:WARNING:Couldn't import xgboost.XGBClassifier
2022-11-10 03:16:07,636:WARNING:Couldn't import catboost.CatBoostClassifier
2022-11-10 03:16:07,637:INFO:Creating grid variables
2022-11-10 03:16:07,640:INFO:create_model_container: 0
2022-11-10 03:16:07,640:INFO:master_model_container: 0
2022-11-10 03:16:07,640:INFO:display_container: 1
2022-11-10 03:16:07,643:INFO:Pipeline(memory=None,
         steps=[('dtypes',
                 DataTypes_Auto_infer(categorical_features=[],
                                      display_types=False, features_todrop=[],
                                      id_columns=['Id'],
                                      ml_usecase='classification',
                                      numerical_features=[], target='Species',
                                      time_features=[])),
                ('imputer',
                 Simple_Imputer(categorical_strategy='not_available',
                                fill_value_categorical=None,
                                fill_value_numerical=None,
                                numeric...
                ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
                ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
                ('cluster_all', 'passthrough'),
                ('dummy', Dummify(target='Species')),
                ('fix_perfect', Remove_100(target='Species')),
                ('clean_names', Clean_Colum_Names()),
                ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
                ('dfs', 'passthrough'), ('pca', 'passthrough')],
         verbose=False)
2022-11-10 03:16:07,644:INFO:setup() succesfully completed......................................