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2023-01-13 23:08:39,074:INFO:PyCaret Supervised Module
2023-01-13 23:08:39,076:INFO:ML Usecase: anomaly
2023-01-13 23:08:39,078:INFO:version 2.3.5
2023-01-13 23:08:39,079:INFO:Initializing setup()
2023-01-13 23:08:39,081:INFO:setup(target=None, ml_usecase=anomaly, available_plots={'tsne': 'Anomaly TSnE (3d)', 'umap': 'UMAP Dimensionality'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=mode, 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=False, 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=False, 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, log_plots=False, log_profile=False, log_data=False, silent=True, verbose=True, profile=False, profile_kwargs=None, display=None)
2023-01-13 23:08:39,085:INFO:Checking environment
2023-01-13 23:08:39,086:INFO:python_version: 3.7.15
2023-01-13 23:08:39,090:INFO:python_build: ('default', 'Nov 24 2022 18:44:54')
2023-01-13 23:08:39,091:INFO:machine: AMD64
2023-01-13 23:08:39,093:INFO:platform: Windows-10-10.0.19041-SP0
2023-01-13 23:08:39,099:INFO:Memory: svmem(total=17086648320, available=2266009600, percent=86.7, used=14820638720, free=2266009600)
2023-01-13 23:08:39,101:INFO:Physical Core: 4
2023-01-13 23:08:39,102:INFO:Logical Core: 8
2023-01-13 23:08:39,103:INFO:Checking libraries
2023-01-13 23:08:39,106:INFO:pd==1.3.5
2023-01-13 23:08:39,107:INFO:numpy==1.19.5
2023-01-13 23:08:39,109:INFO:sklearn==0.23.2
2023-01-13 23:08:39,110:INFO:lightgbm==3.3.4
2023-01-13 23:08:39,113:WARNING:catboost not found
2023-01-13 23:08:39,115:WARNING:xgboost not found
2023-01-13 23:08:39,737:INFO:mlflow==1.30.0
2023-01-13 23:08:39,737:INFO:Checking Exceptions
2023-01-13 23:08:39,739:INFO:Declaring global variables
2023-01-13 23:08:39,740:INFO:USI: b620
2023-01-13 23:08:39,741:INFO:pycaret_globals: {'_available_plots', 'prep_pipe', 'iterative_imputation_iters_param', 'fix_imbalance_method_param', '_all_models', 'fold_shuffle_param', '_gpu_n_jobs_param', 'experiment__', 'log_plots_param', 'X', 'USI', 'gpu_param', 'create_model_container', 'logging_param', 'transform_target_method_param', 'fold_generator', 'fold_groups_param', 'data_before_preprocess', 'fold_groups_param_full', 'seed', 'pycaret_globals', 'imputation_regressor', '_internal_pipeline', 'exp_name_log', 'fold_param', '_all_metrics', 'fix_imbalance_param', 'stratify_param', 'n_jobs_param', 'imputation_classifier', 'display_container', 'target_param', '_ml_usecase', 'html_param', '_all_models_internal', 'transform_target_param', 'master_model_container'}
2023-01-13 23:08:39,741:INFO:Preparing display monitor
2023-01-13 23:08:39,742:INFO:Preparing display monitor
2023-01-13 23:08:39,756:INFO:Importing libraries
2023-01-13 23:08:39,757:INFO:Copying data for preprocessing
2023-01-13 23:08:39,769:INFO:Declaring preprocessing parameters
2023-01-13 23:08:39,776:INFO:Creating preprocessing pipeline
2023-01-13 23:08:39,842:INFO:Preprocessing pipeline created successfully
2023-01-13 23:08:39,842:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
2023-01-13 23:08:39,843:INFO:Creating global containers
2023-01-13 23:08:39,847:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
2023-01-13 23:08:40,192:INFO:Creating grid variables
2023-01-13 23:08:40,207:INFO:create_model_container: 0
2023-01-13 23:08:40,208:INFO:master_model_container: 0
2023-01-13 23:08:40,210:INFO:display_container: 1
2023-01-13 23:08:40,216:INFO:Pipeline(memory=None,
steps=[('dtypes',
DataTypes_Auto_infer(categorical_features=[],
display_types=False, features_todrop=[],
id_columns=[], ml_usecase='regression',
numerical_features=[],
target='UNSUPERVISED_DUMMY_TARGET',
time_features=[])),
('imputer',
Simple_Imputer(categorical_strategy='most frequent',
fill_value_categorical=None,
fill_value_numerical=Non...
('scaling', 'passthrough'), ('P_transform', 'passthrough'),
('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
('cluster_all', 'passthrough'),
('dummy', Dummify(target='UNSUPERVISED_DUMMY_TARGET')),
('fix_perfect', 'passthrough'),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough')],
verbose=False)
2023-01-13 23:08:40,217:INFO:setup() succesfully completed......................................
2023-01-13 23:08:54,602:INFO:gpu_param set to False
2023-01-13 23:12:16,444:INFO:Initializing plot_model()
2023-01-13 23:12:16,446:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=IsolationForest(behaviour='deprecated', bootstrap=False, contamination=0.01,
max_features=1.0, max_samples=500, n_estimators=50, n_jobs=1,
random_state=1, verbose=0, warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=tsne, save=False, scale=1, system=True)
2023-01-13 23:12:16,447:INFO:Checking exceptions
2023-01-13 23:12:16,449:INFO:Preparing display monitor
2023-01-13 23:12:16,461:INFO:Preloading libraries
2023-01-13 23:12:16,473:INFO:Copying training dataset
2023-01-13 23:12:16,475:INFO:Plot type: tsne
2023-01-13 23:12:16,628:INFO:SubProcess assign_model() called ==================================
2023-01-13 23:12:16,629:INFO:Initializing assign_model()
2023-01-13 23:12:16,630:INFO:assign_model(model=IsolationForest(behaviour='deprecated', bootstrap=False, contamination=0.01,
max_features=1.0, max_samples=500, n_estimators=50, n_jobs=1,
random_state=1, verbose=0, warm_start=False), transformation=True, score=False, verbose=False)
2023-01-13 23:12:16,631:INFO:Checking exceptions
2023-01-13 23:12:16,631:INFO:Determining Trained Model
2023-01-13 23:12:16,632:INFO:Trained Model : IsolationForest
2023-01-13 23:12:16,633:INFO:Copying data
2023-01-13 23:12:16,636:INFO:Transformation param set to True. Assigned clusters are attached on transformed dataset..